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National Audit of Psychological Therapies for Anxiety and ... - HQIP

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St<strong>and</strong>ard 5: Treatment <strong>for</strong> high intensity psychological therapy iscontinued until recovery or <strong>for</strong> at least the minimum number <strong>of</strong>sessions recommended by the NICE guideline <strong>for</strong> the patient’scondition/problemOverall, this st<strong>and</strong>ard was met <strong>for</strong> 54% <strong>of</strong> patients. At a service level, themedian percentage <strong>of</strong> patients who received the right number <strong>of</strong> sessions orwho recovered was 56%.Number <strong>of</strong> recommended sessions30% <strong>of</strong> patients received the minimum number <strong>of</strong> sessions recommended inthe specific NICE depression or anxiety disorder guideline <strong>for</strong> the patient’scondition/problem. The diagnosis most likely to receive the correct number<strong>of</strong> sessions was panic disorder/agoraphobia (62%) <strong>and</strong> the diagnosis leastlikely was Generalised <strong>Anxiety</strong> Disorder (GAD) (18%).Recovery <strong>and</strong> reliable improvement ratesIt was possible to calculate this <strong>for</strong> 92% <strong>of</strong> patients who met the pretreatmentcaseness criteria. Of those that did not have the recommendednumber <strong>of</strong> sessions, 46% recovered, 13% made reliable improvement butdid not recover <strong>and</strong> 41% neither recovered nor made reliable improvement.Reasons <strong>for</strong> therapy endingFor those patients who did not receive the minimum number <strong>of</strong> sessions <strong>and</strong>neither recovered nor reliably improved, the most frequently reportedreasons <strong>for</strong> ending therapy were completing treatment (49%) or droppingout/unscheduled discontinuation (44%).St<strong>and</strong>ard 6: The therapist has received training to deliver thetherapy providedAll therapists surveyed had some training in at least one therapy type. Thisincludes people who have received <strong>for</strong>mal training, attended shortworkshops <strong>and</strong> those working with supervision.At a service level, the median percentage <strong>of</strong> therapists who had received<strong>for</strong>mal training in at least one therapy was 86%.In relation to the provision <strong>of</strong> high intensity therapy, therapists were mostlikely to have completed <strong>for</strong>mal training <strong>for</strong> counselling, person-centredtherapy, CBT <strong>and</strong> psychodynamic therapy. For low intensity therapy, themajority <strong>of</strong> therapists had completed <strong>for</strong>mal training <strong>for</strong> the provision <strong>of</strong>support with medication, psychoeducation, guided self-help <strong>and</strong> other lowintensity therapies. Overall, the most frequently reported qualification wasa postgraduate diploma.7


St<strong>and</strong>ard 7: People receiving psychological therapy experience <strong>and</strong>report a positive therapeutic relationship/helping alliance withtheir therapist which is comparable to that reported by peoplereceiving treatment from other therapists/servicesThis st<strong>and</strong>ard was met <strong>for</strong> 80% <strong>of</strong> patients. At a service level, the medianpercentage <strong>of</strong> patients reporting a positive therapeutic alliance was 82%,while the rate <strong>for</strong> services in the top quartile exceeded 88%. It should alsobe noted that the response rate <strong>for</strong> the ARM-5 was 19%; the service usersthat responded to the questionnaire may be more favourable about theirtherapeutic relationship than those that did not respond.St<strong>and</strong>ard 8: Patients/clients/service users report a high level <strong>of</strong>satisfaction with the treatment that they receiveOverall, 87% <strong>of</strong> responses were positive. Quantitative data indicatedslightly higher overall levels <strong>of</strong> satisfaction with outcomes <strong>of</strong> therapy whencompared to access to therapy. The lowest levels <strong>of</strong> satisfaction were inrelation to the waiting time <strong>for</strong> treatment to start <strong>and</strong> the number <strong>of</strong>sessions that patients were receiving. It should also be noted that theresponse rate <strong>for</strong> the service user questionnaire was 21%; the service usersthat responded to the questionnaire may be more favourable about theirexperience <strong>of</strong> therapy than those who did not respond.St<strong>and</strong>ard 9a: The service routinely collects outcome data in order todetermine the effectiveness <strong>of</strong> the interventions providedEighty-one percent <strong>of</strong> patients had both a first <strong>and</strong> last score on at least onemeasure. At a service level, the median proportion <strong>of</strong> patients with both afirst <strong>and</strong> a last score on at least one measure was 76%.St<strong>and</strong>ard 9b: The clinical outcomes <strong>of</strong> patients/clients receivingpsychological therapy in the therapy service were comparable tothose achieved to benchmarks from clinical trials <strong>and</strong> effectivenessstudies <strong>and</strong> to those achieved by other therapy servicesThe mean recovery rate <strong>for</strong> participating services was 49% with the topquartile achieving recovery rates <strong>of</strong> greater than 57%.Few participating services had effect sizes that were comparable to thosefound in trials data, but the outcomes are broadly similar to those reportedin the practice-based literature.8


St<strong>and</strong>ard 10: The rate <strong>of</strong> attrition from commencing treatment tocompleting treatment is comparable to that <strong>of</strong> other therapyservicesThe attrition rate <strong>for</strong> people ending therapy within the audit period is 25%.At service level, the attrition rate ranged between 0 - 50%, with a median<strong>of</strong> 19%. Both very high <strong>and</strong> very low attrition rates could be worthy <strong>of</strong>further exploration by the services concerned.9


Key findingsThe following list summarises key findings emerging from the audit data.1. The psychological therapy services that participated in the auditvary greatly in size.The smallest services in the audit (which employed fewer than eighttherapists) were predominantly secondary care services <strong>and</strong> notconsidered part <strong>of</strong> the English IAPT programme. The largest services(which employ more than 20 therapists) were mainly based in primarycare <strong>and</strong> many <strong>of</strong> these received IAPT funding. This variation isimportant when considering the other key findings <strong>for</strong> the audit. Thelargest services have much higher throughput <strong>and</strong> so account <strong>for</strong> adisproportionately high proportion <strong>of</strong> the patients (27% <strong>of</strong> servicesaccounted <strong>for</strong> 78% <strong>of</strong> the patients).2. Older people are less likely to receive psychological therapy thanyounger people.Based on what is known about the prevalence <strong>of</strong> common mental healthproblems, people aged between 65 <strong>and</strong> 74 are half as likely, <strong>and</strong> thoseaged over 75 one-third as likely, to receive therapy as people under theage <strong>of</strong> 65. Over one-third <strong>of</strong> services (36%) have a policy that excludesolder people.3. The waiting time st<strong>and</strong>ard, both from referral to assessment <strong>and</strong>from referral to treatment, was met <strong>for</strong> 85% <strong>of</strong> patients <strong>for</strong>whom data were returned. However, variation between servicesvaried widely <strong>and</strong> long waiting times were one <strong>of</strong> the most frequentlycited area <strong>of</strong> concern by service users completing the survey. Many <strong>of</strong>the comments made by service user respondents illustrated thedebilitating effect that long waiting times can have on an individual’swellbeing.4. The analysis <strong>of</strong> clinical outcome measures showed that nearly49% <strong>of</strong> patients with pre- <strong>and</strong> post-treatment measures hadrecovered at the end <strong>of</strong> therapy. The outcomes <strong>for</strong> participatingservices are broadly similar to those reported in other largeevaluations <strong>of</strong> psychological therapy in routine clinical settings,but lower than that reported in r<strong>and</strong>omised controlled trials.The fact that only one-third <strong>of</strong> all services returned adequate data to beincluded in the analysis <strong>of</strong> outcome measures needs to be taken intoaccount. The two approaches used <strong>for</strong> making comparisons with otherstudies also need to be considered when drawing any conclusions.10


5. Ninety percent <strong>of</strong> patients who returned a questionnaire reporteda positive therapeutic alliance with their therapist.These findings must be considered in light <strong>of</strong> the fact that the 19% <strong>of</strong>service users who completed the ARM-5 measure might be biased infavour <strong>of</strong> those who are more satisfied. It should also be noted that theviews <strong>of</strong> patients who either declined or dropped out <strong>of</strong> therapy are notrepresented in the sample.6. The type <strong>of</strong> therapy provided is in line with NICE guidance <strong>for</strong>83% <strong>of</strong> patients with a diagnosis <strong>for</strong> which there is a NICEclinical practice guideline.Although this indicates that a large majority <strong>of</strong> patients received therapyin line with NICE guidance, the fact that no diagnostic in<strong>for</strong>mation wasprovided <strong>for</strong> 46% <strong>of</strong> patients needs to be taken into account. Noconclusions can be drawn <strong>for</strong> those patients whose diagnoses aremissing. The proportion <strong>of</strong> people receiving a NICE recommendedtherapy varied according to diagnosis, with PTSD having the lowest level<strong>of</strong> adherence. Although it may be clinically appropriate to provide analternative therapy, the reasons <strong>for</strong> such decision-making are unclear.7. Seventy percent <strong>of</strong> patients who had high intensity therapy didnot receive the minimum number <strong>of</strong> treatment sessions that NICErecommends.About one-half <strong>of</strong> these patients had not recovered by the time thattherapy was discontinued. Concerns about the number <strong>of</strong> sessionsprovided were also evident in the results from the quantitative <strong>and</strong>qualitative analysis <strong>of</strong> the data from the service user survey.8. A number <strong>of</strong> therapists are delivering therapies <strong>for</strong> which theyhave received no specific training.Although all therapists reported receiving training in at least one therapymodality, they had not necessarily received specific training <strong>for</strong> thetherapies they reported delivering. 30% or more <strong>of</strong> therapists thatdeliver the following types <strong>of</strong> therapy report having undertaken notraining in that therapeutic approach:• high-intensity therapies - interpersonal therapy, couples therapy, eyemovement desensitization <strong>and</strong> reprocessing, dialectical behaviourtherapy <strong>and</strong> arts psychotherapies;• low-intensity therapies – computerised cognitive behaviour therapy. Itis noted that low-intensity therapies generally require less training.11


9. There is substantial variation between services in meeting theaudit st<strong>and</strong>ards.• For example, those in the bottom quartile <strong>for</strong> waiting timeper<strong>for</strong>mance met the st<strong>and</strong>ard <strong>for</strong> waiting time from referral totreatment <strong>for</strong> 50% <strong>of</strong> patients or less, compared to services in the topquartile which achieved this <strong>for</strong> 93% <strong>of</strong> their patients;• the st<strong>and</strong>ard <strong>for</strong> delivery <strong>of</strong> a treatment recommended by NICE wasmet <strong>for</strong> 77% <strong>of</strong> patients or less by those in the bottom quartile,compared to 96% or more in the top quartile.• Those in the bottom quartile <strong>for</strong> therapeutic alliance had 13% or morepatients reporting a weak therapeutic alliance, compared to those inthe top quartile, which had 5% or fewer patients reporting a weakalliance.10. Patients from small <strong>and</strong> particularly medium services waitedlonger than patients from large services <strong>for</strong> both assessment <strong>and</strong>treatment.There was a significant effect <strong>of</strong> service size upon waiting times, but noeffect <strong>of</strong> IAPT funding <strong>and</strong> service level after adjusting <strong>for</strong> the effects <strong>of</strong>service size.11. The extent to which services routinely collect outcomes data isunclear.The finding that <strong>for</strong> 81% <strong>of</strong> patients there was at least one outcomemeasure with pre <strong>and</strong> post scores needs to be considered in light <strong>of</strong> thefact that only one third <strong>of</strong> all participating services returned adequateoutcome data. Furthermore, the data submitted indicated that 42services (15%) had no outcome data <strong>for</strong> any <strong>of</strong> their patients.12. Some psychological therapy services are poor at recording theethnicity <strong>and</strong> diagnosis <strong>of</strong> the patients they treat.Our conclusion that people from Black <strong>and</strong> minority ethnic groups do notappear to be disadvantaged in terms <strong>of</strong> access to psychological therapiesmust be tempered by the finding that ethnicity was not recorded <strong>for</strong> 24%<strong>of</strong> patients. Also, because <strong>of</strong> the challenge <strong>of</strong> defining the catchmentarea <strong>of</strong> participating services <strong>and</strong> taking into account the differing targetpopulations <strong>of</strong> participating services, we have compared the patientcohort to the UK population <strong>and</strong> not to the local population. It isthere<strong>for</strong>e possible that differential access by certain ethnic groups hasbeen missed. Recording <strong>of</strong> diagnosis is even poorer; 46% <strong>of</strong> patientshad not been assigned a diagnosis. Differing practices in relation toassigning diagnoses may be a contributory factor.12


RecommendationsRecommendation 1: Investigate reasons <strong>for</strong>sub-optimal duration <strong>of</strong> therapy• The finding that a substantial number <strong>of</strong> patients end therapy be<strong>for</strong>ehaving received the number <strong>of</strong> treatment sessions that NICErecommends <strong>and</strong> without having recovered, should be communicated totherapists employed by participating services <strong>and</strong> service managers.• Local services should seek to gather more specific in<strong>for</strong>mation about whypatients who have not recovered end therapy when they do <strong>and</strong> whereappropriate, act on these findings.Recommendation 2: Training <strong>of</strong> therapists• The finding that a substantial number <strong>of</strong> therapists are delivering sometherapies that they report they have not been trained in needs furtherexploration to consider the appropriateness <strong>of</strong> this. This issue also needsto be discussed with pr<strong>of</strong>essional bodies <strong>and</strong> training providers.• Service managers should consider the skill mix <strong>and</strong> training <strong>of</strong> employedtherapists at both an individual <strong>and</strong> service level, taking into account thenational picture. Any training or support needs should be followed up insupervision <strong>and</strong> annual appraisals.• Attempts should be made to gather further in<strong>for</strong>mation about the training<strong>and</strong> accreditation <strong>of</strong> therapists in future research <strong>and</strong> audit work.Recommendation 3: Services that are outliers shouldconsider the reasons <strong>and</strong> make action plans toaddress the problem• Local reports will alert each participating team to any st<strong>and</strong>ards in whichthey are an outlier <strong>and</strong> these teams will be encouraged to take action.• The reaudit should assess whether local action has increased the extentto which st<strong>and</strong>ards have been met.Recommendation 4: Addressing service user sources<strong>of</strong> dissatisfaction• Service user concerns need to be discussed with all relevant stakeholdersin order to identify changes that need to be made. The two areas <strong>of</strong>greatest dissatisfaction (waiting time <strong>for</strong> treatment to start <strong>and</strong> thenumber <strong>of</strong> sessions that they were receiving) need to be given particularconsideration as these were also backed up by other findings.13


Recommendation 5: Action to address the pooreraccess to therapy services by older people• The NHS Commissioning Board <strong>and</strong> relevant policy leads should be askedto consider whether further changes should be made to current policy<strong>and</strong> the system <strong>for</strong> commissioning, regulating <strong>and</strong> managing theper<strong>for</strong>mance <strong>of</strong> services that provide psychological therapy services. It isnoted that the IAPT programme in Engl<strong>and</strong> has recently pledged toimprove access <strong>for</strong> older people <strong>and</strong> any lessons learnt from this in thefuture will need to be widely shared amongst commissioners <strong>and</strong>managers <strong>of</strong> all services.• The local reports sent to individual participating services should highlightthis issue <strong>and</strong> ask services to consider addressing it in their action plans.• The reaudit undertaken in 2012 should attempt to gather data to furtherunderst<strong>and</strong> the reasons <strong>for</strong> services providing differential access by age.Recommendation 6: Improving the recording <strong>of</strong>ethnicity <strong>and</strong> diagnostic dataObstacles to recording ethnicity <strong>and</strong> diagnostic data need to be furtherexplored with a view to identifying effective strategies <strong>for</strong> attaining highcompletion rates. Examples <strong>of</strong> good practice should be shared acrossservices.Recommendation 7: Investigate reasons <strong>for</strong> nonadherenceto NICE guidelinesThe reason why adherence to NICE recommended therapy varies accordingto diagnosis should be further explored. The local reports <strong>and</strong> NAPT actionplanning tool kit will prompt participants to consider whether this is an issue<strong>for</strong> them. Where appropriate, services will be encouraged to take action.The NAPT reaudit should seek to gather further in<strong>for</strong>mation on why suchvariation occurs.Recommendation 8: Improve routine outcomemonitoringServices need to improve the ways that they collect outcome data. Thisshould be addressed in local action plans, as well as discussed further at anational level. It is noted that the IAPT programme expects services toachieve at least 90% data completeness by utilising session by sessionoutcome monitoring. It is also noted that data from IAPT servicesdominated the sample included in the analysis <strong>of</strong> outcomes. This will needfurther consideration when designing the reaudit in 2012.14


The future <strong>of</strong> NAPTIn June 2011, the <strong>National</strong> <strong>Audit</strong> <strong>of</strong> <strong>Psychological</strong> <strong>Therapies</strong> secured fundingfrom the Healthcare Quality Improvement Partnership (<strong>HQIP</strong>) <strong>for</strong> a furthertwo years from November 2011.15


Table <strong>of</strong> ContentsForeword ................................................................................................... 3Executive Summary .................................................................................... 4Key findings ............................................................................................ 10Recommendations .................................................................................... 13Table <strong>of</strong> Contents ..................................................................................... 16List <strong>of</strong> Figures .......................................................................................... 17List <strong>of</strong> Tables ............................................................................................ 19Acknowledgements .................................................................................. 21Introduction ............................................................................................. 22The issue ................................................................................................ 22The political l<strong>and</strong>scape .............................................................................. 22The role <strong>of</strong> the <strong>National</strong> <strong>Audit</strong> <strong>of</strong> <strong>Psychological</strong> <strong>Therapies</strong> (NAPT) ..................... 23Variation in the provision <strong>of</strong> psychological therapy services ............................ 23Using the NAPT data to improve services ..................................................... 24Methods ................................................................................................... 25Developing the audit st<strong>and</strong>ards .................................................................. 26Developing data collection tools <strong>for</strong> the main audit ........................................ 26Recruiting services to the audit .................................................................. 27Participating services ................................................................................ 28Eligibility ................................................................................................. 28Data collection ......................................................................................... 30Approach to analysis ................................................................................. 38Limitations <strong>of</strong> the methodology .................................................................. 38<strong>Audit</strong> Findings .......................................................................................... 39Contextual service data ............................................................................. 39St<strong>and</strong>ard 1: Access to services ................................................................... 52St<strong>and</strong>ard 2: Waiting time to assessment ..................................................... 59St<strong>and</strong>ard 3: Waiting time to treatment ........................................................ 64St<strong>and</strong>ard 4: Therapy in line with NICE guidance ........................................... 68St<strong>and</strong>ard 5: Satisfactory number <strong>of</strong> treatment sessions ................................. 73St<strong>and</strong>ard 6: Therapist training ................................................................... 78St<strong>and</strong>ard 7: Therapeutic alliance ................................................................ 91St<strong>and</strong>ard 8: Satisfaction with treatment ...................................................... 96St<strong>and</strong>ard 9: Outcome measurement .......................................................... 102St<strong>and</strong>ard 10: Attrition .............................................................................. 112Final summary ........................................................................................ 115References .............................................................................................. 117Appendix A: Steering Group ........................................................................ 119Appendix B: Participating organisations <strong>and</strong> services ....................................... 120Appendix C: <strong>Audit</strong> St<strong>and</strong>ards <strong>and</strong> References ................................................. 126Appendix D: NICE model <strong>of</strong> stepped care <strong>for</strong> <strong>Anxiety</strong> <strong>and</strong> Depressive disorders ... 127Appendix E: Additional contextual in<strong>for</strong>mation ................................................ 128Appendix F: Service inclusion/exclusion <strong>for</strong> St<strong>and</strong>ard 9b .................................. 12916


List <strong>of</strong> FiguresFigure 1: Decision tree <strong>for</strong> eligibility criteria .......................................... 29Figure 2: Method used by services to submit retrospective audit data ....... 31Figure 3: Number <strong>of</strong> therapists nominated by service ............................. 32Figure 4: Response rate by service <strong>for</strong> therapist’s questionnaire. ............. 33Figure 5: Number <strong>of</strong> patients per service in the retrospective audit .......... 34Figure 6: Number <strong>of</strong> service user questionnaires returned by service. ....... 35Figure 7: Response rate by service <strong>for</strong> service user questionnaire. ........... 36Figure 8: Number <strong>of</strong> cases <strong>for</strong> audit st<strong>and</strong>ards. ..................................... 37Figure 9: Number <strong>of</strong> participating services that receive IAPT funding <strong>and</strong>those that do not .............................................................................. 39Figure 10: Level <strong>of</strong> service provision .................................................... 40Figure 11: Age range <strong>of</strong> service users seen by participating services ........ 41Figure 12: Size <strong>of</strong> service ................................................................... 42Figure 13: High intensity therapy provision in IAPT funded services .......... 45Figure 14: High intensity provision in non-IAPT services ......................... 45Figure 15: Low intensity therapy provision <strong>for</strong> IAPT funded services ......... 47Figure 16: Low intensity therapy provision <strong>for</strong> non-IAPT services ............. 47Figure 17: Pr<strong>of</strong>essional group by size <strong>of</strong> service ..................................... 48Figure 18: Pr<strong>of</strong>essional group by funding .............................................. 49Figure 19: Pr<strong>of</strong>essional group by level <strong>of</strong> service .................................... 49Figure 20: Number <strong>of</strong> therapies delivered ............................................. 50Figure 21: Access to therapies in a language other than English............... 51Figure 22: Data completeness <strong>of</strong> ethnicity coding by service ................... 53Figure 23: Percentage <strong>of</strong> patients by service who were assessed within 13weeks <strong>of</strong> referral. .............................................................................. 60Figure 24: Percentage <strong>of</strong> patients who began treatment within 18 weeks <strong>of</strong>referral. ........................................................................................... 65Figure 25: Percentage <strong>of</strong> patients who have primary diagnosis data. ........ 69Figure 26: Percentage <strong>of</strong> patients by service who receive a NICErecommended therapy ....................................................................... 71Figure 27: Percentage <strong>of</strong> patients by service who received the recommendednumber <strong>of</strong> NICE high intensity therapy sessions or who recovered ........... 76Figure 28: Pr<strong>of</strong>essional group <strong>of</strong> therapists ........................................... 78Figure 29: Therapists' membership <strong>of</strong> pr<strong>of</strong>essional organisations ............. 79Figure 30: Level <strong>of</strong> training by high intensity therapy <strong>for</strong> therapists .......... 80Figure 31: Level <strong>of</strong> training by low intensity therapy <strong>for</strong> therapists ........... 82Figure 32: Breakdown <strong>of</strong> qualifications <strong>for</strong> therapists .............................. 83Figure 33: Percentage <strong>of</strong> therapists who have had or are currently receiving<strong>for</strong>mal training <strong>for</strong> at least one therapy type ......................................... 84Figure 34: Percentage <strong>of</strong> therapists who have had or are currently receiving<strong>for</strong>mal training <strong>for</strong> at least one NICE recommended therapy type ............. 86Figure 35: Frequency count <strong>for</strong> service users’ ARM-5 Total score .............. 92Figure 36: Frequency count <strong>for</strong> mean ARM-5 score by service ................. 93Figure 37: Percentage <strong>of</strong> service users with a ‘green flag’ indicating positivetherapeutic alliance ........................................................................... 95Figure 38: Percentage <strong>of</strong> positive responses <strong>for</strong> access at a service level ... 97Figure 39: Percentage <strong>of</strong> positive responses <strong>for</strong> outcome at a service level.................................................................................................... 10017


Figure 40: Percentage <strong>of</strong> patients by service with at least one pre <strong>and</strong> postmeasure ........................................................................................ 103Figure 41: Attrition rate by service .................................................... 11318


List <strong>of</strong> TablesTable 1: Dates <strong>for</strong> submission <strong>of</strong> audit questionnaires ...................................... 30Table 2: Therapist questionnaire response rates .............................................. 31Table 3: Number <strong>of</strong> returns by size <strong>of</strong> service .................................................. 34Table 4: Service user questionnaire response rate ........................................... 34Table 5: Service user questionnaire response rates by service ........................... 35Table 6: Level <strong>of</strong> service provision in Engl<strong>and</strong> <strong>and</strong> Wales .................................. 40Table 7: Sector managing the service ............................................................ 41Table 8: Age range <strong>of</strong> service users seen by participating services in Engl<strong>and</strong> <strong>and</strong>Wales ........................................................................................................ 42Table 9: Size <strong>of</strong> participating services in Engl<strong>and</strong> <strong>and</strong> Wales .............................. 42Table 10: Managing sector by service level ..................................................... 43Table 11: IAPT funding by service level .......................................................... 43Table 12: IAPT funding by service size ........................................................... 43Table 13: Age range <strong>of</strong> patients by service level .............................................. 44Table 14: Level <strong>of</strong> care by service size ........................................................... 44Table 15: Data completeness <strong>for</strong> age, gender <strong>and</strong> ethnicity ............................... 52Table 16: Age range <strong>of</strong> people completing treatment during the audit period ....... 54Table 17: Age range <strong>of</strong> people included in NAPT vs. 2001 census data ................ 55Table 18: The expected <strong>and</strong> observed number <strong>of</strong> people in the NAPT dataset with acommon mental disorder .............................................................................. 55Table 19: Gender <strong>of</strong> people completing treatment during the audit period ........... 56Table 20: Gender <strong>of</strong> people included in NAPT vs. 2001 census data .................... 56Table 21: The expected <strong>and</strong> observed number <strong>of</strong> people with a common mentaldisorder ..................................................................................................... 56Table 22: Ethnicity <strong>of</strong> people completing treatment during the audit period ......... 57Table 23: Waiting time from referral to assessment ......................................... 59Table 24: Percentage <strong>of</strong> patients by service who were assessed within 13 weeks <strong>of</strong>referral ...................................................................................................... 61Table 25: Waiting time by service size............................................................ 61Table 26: Waiting time by service funding ...................................................... 61Table 27: Waiting time by level <strong>of</strong> service ....................................................... 62Table 28: Multilevel regression analysis examining effects <strong>of</strong> service size, funding<strong>and</strong> service level on waiting times to assessment ............................................. 63Table 29: Waiting time from referral to treatment ............................................ 64Table 30: Percentage <strong>of</strong> patients by service who began treatment within 18 weeks<strong>of</strong> referral. ................................................................................................. 65Table 31: Waiting time by service size............................................................ 66Table 32: Waiting time by service funding ...................................................... 66Table 33: Waiting time by level <strong>of</strong> service ....................................................... 66Table 34: Multilevel regression analysis examining effects <strong>of</strong> service size, funding<strong>and</strong> service level on waiting times to treatment ............................................... 67Table 35: Percentage <strong>of</strong> patients <strong>for</strong> each primary diagnosis .............................. 68Table 36: Diagnosis <strong>of</strong> anxiety <strong>and</strong> depression with NICE guidance ..................... 70Table 37: Percentage <strong>of</strong> patients with a NICE diagnosis who receive therecommended therapy ................................................................................. 72Table 38: Percentage <strong>of</strong> patients who receive a NICE high intensity therapy <strong>and</strong> whoreceive the recommended number <strong>of</strong> sessions ................................................. 73Table 39: Recovery <strong>and</strong> improvement in those who did not have the minimumrecommended number <strong>of</strong> sessions ................................................................. 74Table 40: Reasons <strong>for</strong> ending therapy <strong>for</strong> those patients who ended therapy be<strong>for</strong>ethe recommended number <strong>of</strong> sessions............................................................ 7519


Table 41: Reasons <strong>for</strong> ending therapy <strong>for</strong> those patients who ended therapy be<strong>for</strong>ethe recommended number <strong>of</strong> sessions <strong>and</strong> neither recovered nor reliably improved................................................................................................................ 75Table 42: Percentage <strong>of</strong> patients by service who either receive the recommendednumber <strong>of</strong> NICE high intensity sessions or who recover .................................... 76Table 43: Level <strong>of</strong> training by high intensity therapy <strong>for</strong> therapists ..................... 81Table 44: Level <strong>of</strong> training by low intensity therapy <strong>for</strong> therapists ...................... 82Table 45: Percentage <strong>of</strong> therapists by service who have had <strong>for</strong>mal training in atleast one therapy ........................................................................................ 84Table 46: Percentage <strong>of</strong> therapists by service who have had <strong>for</strong>mal training or arecurrently in training <strong>for</strong> at least one therapy ................................................... 85Table 47: Percentage <strong>of</strong> therapists by service who have had <strong>for</strong>mal training in atleast one NICE recommended therapy ............................................................ 86Table 48: Percentage <strong>of</strong> therapists by service who have had <strong>for</strong>mal training or arecurrently in training in at least one NICE recommended therapy ........................ 87Table 49: Response rate <strong>for</strong> the service user survey ......................................... 88Table 50: Gender <strong>of</strong> people who returned the service user questionnaire ............. 88Table 51: Age range <strong>of</strong> people who returned the service user questionnaire ......... 89Table 52: Ethnicity <strong>of</strong> people who returned the service user questionnaire ........... 89Table 53: Length <strong>of</strong> wait from being referred to starting therapy ........................ 90Table 54: Type <strong>of</strong> talking treatment ............................................................... 90Table 55: Response rate <strong>for</strong> ARM-5 ................................................................ 91Table 56: Mean, st<strong>and</strong>ard deviation <strong>and</strong> range <strong>for</strong> ARM-5 .................................. 91Table 57: ARM-5 scores ............................................................................... 92Table 58: Red flags ..................................................................................... 94Table 59: Amber flags .................................................................................. 94Table 60: Green flags .................................................................................. 94Table 61: Responses to the access section <strong>of</strong> the service user questionnaire ........ 96Table 62 Breakdown <strong>of</strong> positive responses to the access section by service .......... 97Table 63: Responses to the outcomes section <strong>of</strong> the service user questionnaire ... 99Table 64 Breakdown <strong>of</strong> positive responses to the outcomes section by service ..... 99Table 65: Percentage <strong>of</strong> patients with both a first <strong>and</strong> last score <strong>for</strong> each clinicalmeasure used ........................................................................................... 102Table 66: Percentage <strong>of</strong> patients with a pre <strong>and</strong> post score <strong>for</strong> at least one outcomemeasure .................................................................................................. 103Table 67: Overall effect sizes (ES) <strong>for</strong> each measure/diagnosis ........................ 106Table 68: Service effect sizes (ES) <strong>for</strong> each diagnosis/measures ...................... 106Table 69: Effect size benchmarks ................................................................ 108Table 70: Percentage improvement rates <strong>for</strong> NAPT services ............................. 110Table 71: Percentage recovery benchmarks .................................................. 110Table 72: Reasons <strong>for</strong> ending treatment ....................................................... 112Table 73: Mean, median <strong>and</strong> range <strong>of</strong> treatment sessions received ................... 112Table 74: Percentage attrition rates <strong>for</strong> NAPT services .................................... 11320


AcknowledgementsDeveloping the audit st<strong>and</strong>ards, audit methods <strong>and</strong> questionnairesWe would like to thank our steering group <strong>and</strong> expert advisory group <strong>for</strong>their support, advice <strong>and</strong> guidance over the past three years. For a full list<strong>of</strong> steering group members <strong>and</strong> the organisations they represented, pleaserefer to Appendix A.Pilot phaseMany thanks to the 27 services that participated in the pilot phase <strong>for</strong> NAPTin 2009 (please refer to Appendix B <strong>for</strong> a full list <strong>of</strong> participating services).The services’ feedback on the audit methods <strong>and</strong> questionnaires wasinvaluable in determining the final audit structure <strong>of</strong> NAPT.Recruitment <strong>of</strong> servicesOur regional leads have played a key role in recruiting services <strong>for</strong>participation in NAPT. Many thanks to Esther Cohen-Tovee (North East),Tricia Hagan (North West), Chris Powell (Yorkshire <strong>and</strong> the Humber), BrendaWilks (East Midl<strong>and</strong>s), Pavlo Kanellakis (West Midl<strong>and</strong>s & South East Coast),Carole Slater (East <strong>of</strong> Engl<strong>and</strong>), John Cape <strong>and</strong> Suchitra Bh<strong>and</strong>ari (London),Am<strong>and</strong>a Staf<strong>for</strong>d (South Central & South West), George Pidgeon (NorthWales), Jane Boyd, Am<strong>and</strong>a Hall <strong>and</strong> Reg Morris (South Wales) <strong>and</strong>Catherine O’Neill (<strong>National</strong> Service User Lead).Data extractsWe would like to thank John Mellor-Clark, Alex Curtis-Jenkins <strong>and</strong> StuartBrown from CORE-IMS, Chris Eldridge from Mayden Health, <strong>and</strong> ByronGeorge <strong>and</strong> the support group from PC-MiS <strong>for</strong> their help in extracting datafrom Trust IT systems <strong>for</strong> the retrospective audit.Data analysis <strong>and</strong> report writingFor advice on data analysis queries, many thanks to our expert advisorygroup: Glenys Parry, Tony Roth, Stephen Pilling <strong>and</strong> Dave Richards. For theanalysis <strong>and</strong> write-up on the submitted outcome measures our specialthanks go to Michael Barkham <strong>and</strong> Dave Saxon. We would also like to thankPaul Bassett <strong>and</strong> Alan Quirk <strong>for</strong> their help <strong>and</strong> advice with data analysisqueries <strong>and</strong> Mike Craw<strong>for</strong>d <strong>for</strong> his input into the report.Analysis <strong>and</strong> reporting <strong>of</strong> patient surveyMany thanks to Eleni Chambers <strong>for</strong> assisting with the audit, conducting thequalitative analysis <strong>and</strong> compiling the report on the service user feedbackobtained from Talking Treatment. The full report can be found atwww.rcpsych.ac.uk/naptSupport <strong>and</strong> inputWe would like to express our special thanks to Maureen McGeorge from theCCQI, <strong>and</strong> Louise Nelstrop, <strong>for</strong>mer NAPT manager. Thanks also go to theHealthcare Quality Improvement Partnership (<strong>HQIP</strong>) <strong>for</strong> their support <strong>and</strong>encouragement throughout.21


IntroductionThe issueMental health problems are common in the U.K. According to the 2007Office <strong>for</strong> <strong>National</strong> Statistics Adult Psychiatric Morbidity Survey <strong>of</strong> Engl<strong>and</strong>:• The proportion <strong>of</strong> the adult population in Engl<strong>and</strong> with at least onecommon mental health disorder is 17.6% in 16-64 year olds <strong>and</strong>10.2% in older adults.• The most prevalent common mental health disorders are generalisedanxiety disorder (4.3% <strong>of</strong> the population), depressive episode (2.3%)<strong>and</strong> mixed anxiety <strong>and</strong> depressive disorder (9%).According to the World Health Organisation (2001), the burden <strong>of</strong>depression <strong>and</strong> anxiety disorders is projected to be the second mostcommon cause <strong>of</strong> loss <strong>of</strong> disability-adjusted life years in the world. TheDepartment <strong>of</strong> Health (2011) also stated:“There is strong evidence that appropriate <strong>and</strong> inclusive services <strong>and</strong> carepathways <strong>for</strong> people with common mental health conditions reduce anindividual’s usage <strong>of</strong> NHS services leading to efficiencies <strong>and</strong> cost savings,as well as contributing to overall mental wellbeing. This approach promotesinclusive, equitable services that meet the needs <strong>of</strong> the whole community”.The political l<strong>and</strong>scapeThe importance <strong>of</strong> the provision <strong>of</strong> psychological therapy services hasreceived increasing attention over recent years <strong>and</strong> continues to do so.Some <strong>of</strong> the most significant factors to have influenced policy over the pastdecade include:1. Concerns about access to services:Despite the high prevalence <strong>of</strong> anxiety <strong>and</strong> depression <strong>and</strong> the seriousimplications <strong>of</strong> both disorders, in 2003, the Office <strong>of</strong> <strong>National</strong> Statisticsestimated that only 14% <strong>of</strong> people with mental health problems werereceiving counselling or psychological therapies. The need to improveaccess was recognised nationally in the Mental Health <strong>National</strong> ServiceFramework five-year review (Department <strong>of</strong> Health, 2004).2. Recommendations from the <strong>National</strong> Institute <strong>of</strong> Health <strong>and</strong> ClinicalExcellence (NICE) that evidence-based psychological therapies be used <strong>for</strong>anxiety disorders <strong>and</strong> depression (NICE 2004a, 2004b, 2005a, 2005b).22


3. The economic argument <strong>for</strong> improved access - in 2006 the London School<strong>of</strong> Economics’ produced a report (the ‘Layard Report’) calculating thatcommon mental health problems cost Engl<strong>and</strong> at least £77 billion a year.4. The ‘Improving Access to <strong>Psychological</strong> <strong>Therapies</strong>’ programme (IAPT). InOctober 2007 the Government announced £173 million funding <strong>for</strong> aprogramme <strong>of</strong> Improving Access to <strong>Psychological</strong> <strong>Therapies</strong> (IAPT) <strong>for</strong>anxiety <strong>and</strong> depression in Engl<strong>and</strong>. Within three years, 3,660 new CBTtherapists <strong>and</strong> psychological wellbeing practitioners had been trained <strong>and</strong>IAPT services had been extended to cover around 60% <strong>of</strong> the population <strong>of</strong>Engl<strong>and</strong> (IAPT, 2011a). According to IAPT (IAPT website, 2011) about 60%<strong>of</strong> the adult population in Engl<strong>and</strong> now has access to IAPT services <strong>and</strong> IAPTis exp<strong>and</strong>ing; between 2011 <strong>and</strong> 2015, IAPT is being extended to children<strong>and</strong> young people, as well as people with medically unexplained symptoms.The role <strong>of</strong> the <strong>National</strong> <strong>Audit</strong> <strong>of</strong> <strong>Psychological</strong><strong>Therapies</strong> (NAPT)The growing recognition <strong>of</strong> the importance <strong>of</strong> psychological therapy coupledwith concerns about access to services led to the then HealthcareCommission (now the Care Quality Commission) requesting the RoyalCollege <strong>of</strong> Psychiatrists’ Centre <strong>for</strong> Quality Improvement (CCQI) to scopethe feasibility <strong>of</strong> a national clinical audit <strong>of</strong> therapy services. The scopingexercise took place in 2007 <strong>and</strong> resulted in the CCQI recommending anational audit <strong>of</strong> psychological therapy services <strong>for</strong> people with anxiety <strong>and</strong>depression, focusing on waiting times, patient experience <strong>and</strong> clinicaloutcomes. Following a successful funding application, the <strong>National</strong> <strong>Audit</strong> <strong>of</strong><strong>Psychological</strong> <strong>Therapies</strong> (NAPT) was established in 2008 <strong>and</strong> beg<strong>and</strong>eveloping <strong>and</strong> piloting methods. Between the scoping exercise in 2007<strong>and</strong> the <strong>of</strong>ficial start <strong>of</strong> NAPT in 2008, the IAPT programme was launched.The remit <strong>of</strong> NAPT was to provide the first comprehensive measurement <strong>of</strong>NHS-funded services providing psychological therapies <strong>for</strong> people withanxiety <strong>and</strong> depression in Engl<strong>and</strong> <strong>and</strong> Wales.Variation in the provision <strong>of</strong> psychologicaltherapy servicesThe provision <strong>of</strong> services continues to change apace, especially with thecontinued expansion <strong>of</strong> the IAPT programme which is significantlyaltering the l<strong>and</strong>scape in Engl<strong>and</strong>. For the purpose <strong>of</strong> underst<strong>and</strong>ing theNAPT findings, it is important to be mindful <strong>of</strong> the vast differences betweenthe services taking part in NAPT, including:1. Whether or not the service is provided through the NHS or voluntarysector,2. Whether the service is provided in primary or secondary care,3. The size <strong>of</strong> the service,4. The nature <strong>of</strong> funding; i.e. supported by IAPT funds or other sources,5. The remit <strong>of</strong> the service; its case mix <strong>and</strong> referral criteria,23


6. The local context <strong>of</strong> the service, including its local population <strong>and</strong> theconfiguration <strong>of</strong> other health <strong>and</strong> mental health services in the region.We there<strong>for</strong>e recommend that the findings in this report are viewed withthese key differences in mind.Using the NAPT data to improve servicesEach participating service has been provided with an individual reportdetailing how they are per<strong>for</strong>ming against the audit st<strong>and</strong>ards, <strong>and</strong> how theycompare to the average scores across the audit. Services will be providedwith an action planning toolkit to help them make positive changes. Formore in<strong>for</strong>mation on the toolkit, see www.rcpsych.ac.uk/napt24


MethodsThe methods leading upto the main audit are summarised below:The Scoping Exercisee (2006-2007)A literature review, consultation process <strong>and</strong> feasibility study identifiedthe need to conductan audit <strong>of</strong> the availability, accessibility, uptake<strong>and</strong> outcomes <strong>of</strong> primary <strong>and</strong> secondary care psychological therapyservices <strong>of</strong> people with a primary diagnosis <strong>of</strong> anxiety/mood disordersor depression.Aquiringfunding (2008)Following the recommendations <strong>of</strong> the scoping project, the <strong>National</strong><strong>Audit</strong> <strong>of</strong> <strong>Psychological</strong> <strong>Therapies</strong> <strong>for</strong> <strong>Anxiety</strong> <strong>and</strong> Depressionwasestablishedwith funding from the Healthcare Quality ImprovementPartnership(<strong>HQIP</strong>).The pilot phase(2009)The pilot phase tested different methods <strong>of</strong> collecting data <strong>for</strong> theaudit. Twenty seven pilot sites across nine organisations wererecruited to ensure a broad cross-section <strong>of</strong> services in terms <strong>of</strong>location, population <strong>and</strong> therapeutic modalities.Following a review <strong>of</strong>the pilot, the data collection tools were amendedd <strong>and</strong> finalised <strong>for</strong> usein the main audit.25


Developing the audit st<strong>and</strong>ards<strong>Audit</strong> st<strong>and</strong>ards were developed using:• A review <strong>of</strong> the literature which identified all <strong>of</strong> the national guidancerelating to the delivery <strong>of</strong> psychological therapies <strong>for</strong> anxiety <strong>and</strong>depression in Engl<strong>and</strong> <strong>and</strong> Wales, including guidance produced by NICE.• A mapping exercise that was carried out under the guidance <strong>of</strong> the NAPTsteering group to enable measureable <strong>and</strong> relevant st<strong>and</strong>ards to beshaped from the literature (see Appendix A <strong>for</strong> a list <strong>of</strong> steering groupmembers).• Lessons learnt from the pilot phase which resulted in the st<strong>and</strong>ards beingmodified. A total <strong>of</strong> 10 st<strong>and</strong>ards were then agreed <strong>for</strong> use in the mainphase <strong>of</strong> the audit (see Appendix C).Developing data collection tools <strong>for</strong> the mainauditThe tools aimed to include all the items necessary to measure adherence tothe audit st<strong>and</strong>ards. For a complete list <strong>of</strong> items on each data collection tool,please visit www.rcpsych.ac.uk/naptFour audit tools were developed:Tool 1: the service context questionnaireThis was a 17-item one-<strong>of</strong>f questionnaire that gathered contextualin<strong>for</strong>mation about the service. The tool gathered in<strong>for</strong>mation about the type<strong>of</strong> service, staffing levels <strong>and</strong> therapy modalities <strong>of</strong>fered. In addition, itasked whether therapies are <strong>of</strong>fered in languages other than English.Tool 2: the therapist questionnaireThis tool was a one-<strong>of</strong>f questionnaire to gather in<strong>for</strong>mation on the training<strong>and</strong> qualifications <strong>of</strong> every therapist/worker in the participating service,including voluntary <strong>and</strong> unpaid staff. It also measured the types <strong>of</strong> therapythat therapists deliver <strong>and</strong> the proportion <strong>of</strong> their working week spent indirect clinical contact with clients.Tool 3: the retrospective case note audit <strong>of</strong> people having completedtherapyThis tool measured length <strong>of</strong> waiting times, care pathway data <strong>and</strong>outcomes <strong>of</strong> all those who ended therapy <strong>for</strong> treatment <strong>of</strong> anxiety <strong>and</strong>depression between 1 September 2010 <strong>and</strong> 30 November 2010.Tool 4: the service user survey ‘Talking Treatment’This is a one-<strong>of</strong>f questionnaire sent out by each service on a selected censusdate to all service users on the current caseload, who had received at leastone treatment session <strong>for</strong> anxiety <strong>and</strong> depression. It measured satisfactionwith access <strong>and</strong> outcome <strong>of</strong> people’s talking treatments using a series <strong>of</strong>short questions. The questionnaire was developed by running focus groups26


with service users who had received psychological therapies. Feedback fromthe focus group in<strong>for</strong>med the items, structure <strong>and</strong> layout <strong>of</strong> the audit tool.The final version <strong>of</strong> the questionnaire, ‘Talking Treatment’ was agreedduring a steering group meeting, at which a number <strong>of</strong> service userorganisations were represented. A full report <strong>of</strong> the development processcan be found at www.rcpsych.ac.uk/napt. The survey also measurestherapeutic alliance using the 5-item client version <strong>of</strong> the AgnewRelationship Measure (ARM-5) 1 .Recruiting services to the auditA variety <strong>of</strong> recruitment strategies were used to encourage individualservices to sign up <strong>for</strong> NAPT.AdvertisementPosters <strong>and</strong> brief reports about NAPT were published by relevantorganisations with the help <strong>of</strong> the steering group members. These materialswere addressed to services directly, <strong>and</strong> also to service users, with anappeal to them to prompt their local services to participate in the audit.MailoutsThe project team sent letters to Chief Executives <strong>of</strong> Primary Care <strong>and</strong> MentalHealth Trusts <strong>and</strong> Local Health Boards, Clinical <strong>Audit</strong> Managers <strong>and</strong> Heads <strong>of</strong>Psychology to raise awareness <strong>of</strong> the audit. The letter included a sign-upsheet to be completed <strong>and</strong> returned to the project team.NewsletterElectronic newsletters <strong>of</strong> the audit were distributed to service managers inthe NHS <strong>and</strong> voluntary organisations to keep them updated on thedevelopment <strong>and</strong> progress <strong>of</strong> NAPT.Service user leadA service user lead was employed to disseminate in<strong>for</strong>mation amongstservice user groups <strong>and</strong> service users.Regional leadsRegional leads were employed to promote the audit in each Strategic HealthAuthority in Engl<strong>and</strong> <strong>and</strong> in North <strong>and</strong> South Wales. The regional leads useddifferent strategies to recruit services, such as presenting at conferences,distributing posters, speaking to service leads directly <strong>and</strong> providing theproject team with further intelligence regarding the location <strong>of</strong> teams in theirparticular area.1 Agnew-Davies R, Stiles WB, Hardy GE, Barkham M, Shapiro DA. ‘Alliance structureassessed by the Agnew Relationship Measure’ (ARM). British Journal <strong>of</strong> ClinicalPsychology.1998 (37), pp. 155-72.27


Participating servicesA total <strong>of</strong> 357 services across 120 organisations were recruited <strong>and</strong>participated in the audit (<strong>for</strong> a full list, please refer to Appendix B:Participating organisations <strong>and</strong> services)Engl<strong>and</strong>: 309 services across 111 organisations collected data <strong>for</strong> the audit.Wales: All Local Health Boards signed up <strong>for</strong> participation in the audit. Intotal, 48 services across 8 organisations took part.EligibilityIn order to determine their eligibility <strong>for</strong> the audit, each service whichenquired about signing up was asked to complete the decision tree below.The figure overleaf shows the breakdown <strong>of</strong> answers to the questions by the357 services which participated in the audit.28


Figure 1: Decision tree <strong>for</strong> eligibility criteriaSTAGE 1Is your service an NHS-funded servicewhose primary function or one <strong>of</strong> whoseprimary functions is to providepsychological interventions in thecommunity <strong>for</strong> people with commonmental health problems such as anxietydisorders <strong>and</strong> depression?Yes318 (89%)Include ALL people that arebeing referred to this service inthe audit, regardless <strong>of</strong> theirdiagnosis.No39 (11%)STAGE 2Does your service have a dedicatedworker or dedicated workers(constituting at least 1 WTE), whoseprimary role is to provide NHSfundedpsychological therapy <strong>for</strong>common mental health problemswithin your wider service?Yes16 (4%)Collect data on all peopleseen by the dedicatedworker(s).No23 (6%)STAGE 3Do you have NHS-funded workers/therapists in your servicewho, as part <strong>of</strong> their role, treat people <strong>for</strong> their anxiety <strong>and</strong>depression?STAGE 4NoNo data need tobe collected <strong>for</strong>the nationalaudit <strong>of</strong>psychologicaltherapies.Yes23 (6%)Do the number <strong>of</strong> peopleseen <strong>for</strong> anxiety <strong>and</strong>depression constitute morethan 50% <strong>of</strong> the individualworker’s/therapist’scaseload?Yes14 (4%)Individualtherapists/workers tocollect data on allpeople, who arediagnosed with <strong>and</strong>treated <strong>for</strong> anxiety<strong>and</strong> depression only.No9 (3%)No data need to be collected <strong>for</strong>the national audit, but individualtherapists/workers may chooseto collect <strong>and</strong> submit data onpatients with anxiety disorders<strong>and</strong> depression if they wish.As can be seen from the decision tree above, the majority (89%) <strong>of</strong> theparticipating services have a primary role to provide psychologicaltreatments <strong>for</strong> anxiety <strong>and</strong> depression in an outpatient setting.29


Data collectionThe data collection scheduleIt was decided to carry out a phased data collection in order to allowservices sufficient time to prepare <strong>and</strong> submit data <strong>for</strong> each aspect <strong>of</strong> theaudit. Table 1 presents the time lines <strong>for</strong> data submission <strong>of</strong> the individualaudit questionnaires.Table 1: Dates <strong>for</strong> submission <strong>of</strong> audit questionnairesMay-October 2010July-December 2010September 2010 – February 2011Census date in October - November 2010Tool 1: Service ContextQuestionnaireTool 2: Therapist QuestionnaireTool 3: Retrospective <strong>Audit</strong> <strong>of</strong>Patients who Ended TherapyTool 4: Service User SurveyMethods <strong>for</strong> data submissionTool 1: the service context questionnaireServices were asked to submit the data from the service contextquestionnaire online.Tool 2: the therapists’ questionnaireServices were asked to submit the data from the therapists’ questionnaireonline. Therapists who had not responded to the questionnaire within a setperiod <strong>of</strong> time were sent a reminder email.Tool 3: the retrospective case note auditThe case note audit could be submitted using several options:• Online submission with a separate questionnaire <strong>for</strong> each client• Services could request a specially <strong>for</strong>matted Excel spreadsheet thatcould be completed including all eligible clients• Services that used data collection systems such as IAPTUS, CORE-IMS<strong>and</strong> PC-MIS were able to extract data using a bespoke data extractionreport. This was particularly relevant <strong>for</strong> IAPT services that alreadycollect a large amount <strong>of</strong> data through their IT systems. The projectteam liaised closely with the companies who run the IAPTUS, PC-MIS<strong>and</strong> CORE IMS systems, which developed bespoke data extractionreports that could be run by the services. These enabled the relevantdata fields to be extracted into an Excel spreadsheet relatively quickly<strong>and</strong> easily. The Excel spreadsheet could then be emailed to theproject team <strong>for</strong> analysis. This process avoided duplication <strong>of</strong> datacollection.• A small number <strong>of</strong> participating services which use their own bespokeIT systems also chose to extract data from their system in a similarway, with the help <strong>of</strong> an IT person in their organisation.30


Figure 2: Method usedby services to submit retrospective audit dataOnline Survey,27, 10%Data Extract, 97,34%Excel Template,157, 56%NB: Some services usedmore than one method <strong>of</strong> data submission e.g.online submission <strong>and</strong> Excel template.Tool4: the service user questionnaireThe service user questionnaire was distributed by theservices <strong>and</strong> returnedby service users directlyto the NAPT project team using freepost, prepaidenvelopes.Responserates <strong>for</strong> the data collectiontoolsResponse rates <strong>for</strong> the servicee context questionnaireAll participating servicess submitted the service context questionnaire.Response rates <strong>for</strong> the therapist questionnaireThe variation in number<strong>of</strong> therapists nominated by each service rangedfrom 1 to 164,see Figure 3. The mean number <strong>of</strong> therapists nominated perservice was 23. These data were used to measure st<strong>and</strong>ard 6.Table 2: Therapist questionnaire response ratesNumber <strong>of</strong> TherapistsNumber <strong>of</strong> Cases 7145NumberResponded3946ResponseeRate (%)5531


The therapist questionnaire was completed by 55% <strong>of</strong> the therapistsnominated by the participating services (see Table 2). The response ratevaried from 0 to 100% between services.During the data collection phase, some organisations nominated more thanone service under the same service code. For the purpose <strong>of</strong> this analysis,these services were merged.Figure 3: Number <strong>of</strong> therapists nominated by service32


Figure 4 shows the spread <strong>of</strong> response rates <strong>for</strong> services that were includedin the therapist questionnaire analysis. Only services who had nominatedmore than six therapists were included in this analysis, which amounted to247 services out <strong>of</strong> the 306 that submitted data <strong>for</strong> this part <strong>of</strong> the audit.Figure 4: Response rate by service <strong>for</strong> therapist’s questionnaire.Response rates <strong>for</strong> the retrospective case note audit <strong>of</strong> peoplehaving completed therapyTwo hundred <strong>and</strong> seventy two (76%) services took part in the retrospectivepart <strong>of</strong> the audit. Of those not taking part, 27 (8%) services confirmed thatthey had no service users completing therapy in the audit time period <strong>and</strong>the remaining services did not specify a reason. Following data cleaningprocedures, a total <strong>of</strong> 49,963 cases were included. These data were used tomeasure st<strong>and</strong>ards 1, 2, 3, 4, 5, 9 <strong>and</strong> 10. For details <strong>of</strong> the number <strong>of</strong>cases included <strong>for</strong> each st<strong>and</strong>ard, please see Figure 8.Table 3 below indicates that larger services accounted <strong>for</strong> the majority(78%) <strong>of</strong> returns <strong>for</strong> the retrospective case audit. The number <strong>of</strong> returnsvaried greatly between services, ranging from 1-1861.33


Table 3: Number <strong>of</strong> returns by size <strong>of</strong> serviceSize <strong>of</strong> ServiceReturnsN (%)Small (fewer than 8 whole time equivalent staff) 1924 (4)Medium (8-20 WTEs) 8866 (18)Large (Greater than 20 WTEs) 39173 (78)Figure 5: Number <strong>of</strong> patients per service in the retrospective audit140120Number <strong>of</strong> Services100806040200Number <strong>of</strong> Patients per Service in the Retrospective <strong>Audit</strong>Response rates <strong>for</strong> the service user surveyOf the 357 services, 43 did not collect data <strong>for</strong> the service userquestionnaire. For the purpose <strong>of</strong> the response rate calculation, serviceswith missing in<strong>for</strong>mation (e.g. unspecified number <strong>of</strong> questionnaires postedout) were excluded from the analyses (n=5). For the remaining 309services where it was possible to calculate response rates, 21% <strong>of</strong> serviceusers completed <strong>and</strong> returned their <strong>for</strong>ms by the deadline.Table 4: Service user questionnaire response rateNumber sent NumberResponse RateoutReturned(%)Number <strong>of</strong> cases 52582 10970 21%These data were used to measure st<strong>and</strong>ards 7 <strong>and</strong> 8. The response rateswere also broken down by service <strong>and</strong> the results can be seen below. Someservice leads were responsible <strong>for</strong> more than one service <strong>and</strong> posted outquestionnaires under the same service code; <strong>for</strong> these services their datawere merged <strong>for</strong> the purpose <strong>of</strong> the analysis. Services that sent out fewerthan six questionnaires were not included.34


Table 5: Service user questionnaire response rates by serviceMean(SD)Median Range 25 thPercentile75 thPercentileQuestionnaires sentout195.0(267.73)71 1194(6-1200)32 253Questionnairesreturned37(49.77)16 267(0-267)7 47.5Response rate (%) 23.1(14.23)21.81 100(0-100)15.9 29.4Figure 6: Number <strong>of</strong> service user questionnaires returned by service.35


Figure 7: Response rate by service <strong>for</strong> service user questionnaire.The service user response rates varied greatly between services. However,some services were small services <strong>and</strong> there<strong>for</strong>e had small number <strong>of</strong>patients, which might explain some <strong>of</strong> the variation.36


Figure 8 illustrates the number <strong>of</strong> cases collected <strong>and</strong> how this relates to theaudit st<strong>and</strong>ards.Figure 8: Number <strong>of</strong> cases <strong>for</strong> audit st<strong>and</strong>ards.357 services took part inNAPT(contextual in<strong>for</strong>mation)49,963 cases from 272services were submitted<strong>for</strong> people who endedtherapy between 01September – 31 November2010 in the retrospectiveaudit3,946 therapists from306 services completedthe therapists’questionnaire10,970 service userquestionnaires werecompleted <strong>and</strong> returned toNAPT from 314 services(st<strong>and</strong>ards 7&8)49,025 people had arecorded reason <strong>for</strong>ending therapy(st<strong>and</strong>ard 10)46,942 people hadreferral <strong>and</strong> assessmentdates(st<strong>and</strong>ard 2)45,209 people hadreferral <strong>and</strong> start <strong>of</strong>treatment dates(st<strong>and</strong>ard 3)15,390 people had adiagnosis <strong>for</strong> whichthere is NICE guidance(st<strong>and</strong>ard 4)37,901 had at least onepre <strong>and</strong> post outcomemeasure(st<strong>and</strong>ard 9 a&b)7,730 people met st<strong>and</strong>ard 4<strong>and</strong> received at least one NICErecommended high intensitytherapy(st<strong>and</strong>ard 5)12,061 people droppedout <strong>of</strong> treatment(st<strong>and</strong>ard 10)37


Approach to analysisDescriptive statistics <strong>for</strong> contextual data are presented be<strong>for</strong>e the findings inrelation to each <strong>of</strong> the st<strong>and</strong>ards. For most st<strong>and</strong>ards, the data wereanalysed at both patient <strong>and</strong> service levels. The findings there<strong>for</strong>e includethe experience <strong>of</strong> the average patient, as well as comparisons betweenservices. The large variation in the number <strong>of</strong> returns by service means thatthere are important differences in these two approaches to the analyses,which should be taken into account when interpreting the findings.Due to the shorter waiting times targets that apply to IAPT services, thefindings <strong>for</strong> st<strong>and</strong>ards 2 <strong>and</strong> 3 were also explored in relation to the type <strong>of</strong>service. As well as the funding source, the size <strong>of</strong> service <strong>and</strong> level <strong>of</strong>provision were included in the analyses.Limitations <strong>of</strong> the methodologyThe limitations <strong>of</strong> the methodology include:• The fact that data returns were not evenly spread across services due todiffering service size; <strong>for</strong> some st<strong>and</strong>ards, a small proportion <strong>of</strong> teamsproduced the majority <strong>of</strong> data returns.• The variation in data completeness.• Potential response bias resulting from the different options services had<strong>for</strong> returning data; <strong>for</strong> example some services returned case note datausing automated IT systems whereas some produced data manually.Service leads were given a census date <strong>and</strong> clear instructions <strong>for</strong> sendingout questionnaires to all eligible service users, but it is not possible toascertain if these instructions were fully adhered to by all services.We have provided more detailed in<strong>for</strong>mation on potential data limitationswithin the relevant sections <strong>of</strong> the report.38


<strong>Audit</strong> FindingsContextual service dataAll 357 participating services were asked to provide contextual in<strong>for</strong>mationabout their service, which is presented in the following section.Source <strong>of</strong> fundingFigure 9 shows the number <strong>of</strong> participating services that receive IAPTfunding <strong>and</strong> those without IAPT funding. The majority <strong>of</strong> services had noIAPT funding, with around two thirds falling into this category. It should benoted that IAPT is an English initiative.Figure 9: Number <strong>of</strong> participating services that receive IAPT funding<strong>and</strong> those that do not300250239 (67%)Number <strong>of</strong> Services20015010050118 (33%)0IAPT FundedNo IAPT Funding39


Level <strong>of</strong> provisionFigure 10 gives an indication <strong>of</strong> the level <strong>of</strong> service provision. The level <strong>of</strong>provision was roughly split between primary <strong>and</strong> secondary care, with asmall number <strong>of</strong> services being a mixture <strong>of</strong> primary <strong>and</strong> secondary care.Figure 10: Level <strong>of</strong> service provision180160140147 (41%)169 (47%)Number <strong>of</strong> Services12010080604020041 (12%)Primary Care Secondary Care MixedFigures <strong>for</strong> mixed level <strong>of</strong> care were quite similar in both Engl<strong>and</strong> <strong>and</strong> Wales;however, Wales had a higher percentage <strong>of</strong> secondary care only services<strong>and</strong> fewer primary care only services.Table 6: Level <strong>of</strong> service provision in Engl<strong>and</strong> <strong>and</strong> WalesEngl<strong>and</strong> N (%) Wales N (%)Primary Care 131 (42) 16 (33)Secondary Care 142 (46) 27 (56)Mixture <strong>of</strong> primary <strong>and</strong> secondary care 36 (12) 5 (10)40


Managing sectorThe sector managing the service was also measured. As Table 7 shows, theNHS managed most <strong>of</strong> the participating services <strong>and</strong> particularly so inWales, where 96% <strong>of</strong> services were NHS-managed compared with 85% inEngl<strong>and</strong>.Table 7: Sector managing the serviceNHSN (%)VoluntaryN (%)PrivateN (%)NHS & VoluntaryN (%)NHS & PrivateN (%)312 (87) 30 (9) 7 (2) 7 (2) 1 (


Table 8: Age range <strong>of</strong> service users seen by participating services inEngl<strong>and</strong> <strong>and</strong> WalesEngl<strong>and</strong> N Wales N (%)(%)Working Age 109 (35) 18 (37)Older people 22 (7) 7 (15)Both working age <strong>and</strong> older people 178 (57) 23 (48)Size <strong>of</strong> serviceFigure 12 illustrates the size <strong>of</strong> the services involved in the audit. Serviceswere categorized based on the number <strong>of</strong> Whole Time Equivalents (WTEs)staff delivering therapy <strong>for</strong> anxiety <strong>and</strong> depression. Services are consideredto be <strong>of</strong> small size if they employ fewer than eight WTEs, <strong>of</strong> medium size ifthey employ 8-20 WTEs <strong>and</strong> large if over 20 WTEs deliver therapies <strong>for</strong>anxiety <strong>and</strong> depression. As can be seen from the graph below, just underhalf <strong>of</strong> participating services were classified as small.Figure 12: Size <strong>of</strong> service180160159 (44%)14012010080604020103 (29%)95 (27%)0Small (< 8 WTE) Medium (8‐20 WTE) Large (>20 WTE)A larger proportion <strong>of</strong> services in Wales were classified as small (


Configuration <strong>of</strong> servicesAs can be seen in Table 10 the majority <strong>of</strong> participating services were eitherNHS managed secondary care services (47%) or NHS managed primary careservices (32%).Table 10: Managing sector by service levelPrimary Secondary Mixed TotalNHS 113 167 32 312Voluntary 20 2 8 30Private 6 - 1 7NHS &7 - - 7VoluntaryNHS & Private 1 - - 1Total 147 169 41 357Table 11 shows the level <strong>of</strong> service in terms <strong>of</strong> IAPT funding received. Many<strong>of</strong> the services involved in the audit were non-IAPT funded secondary careservices (47%).Table 11: IAPT funding by service levelLEVELFUNDING Primary Secondary Mixed TotalIAPT Funding 102 - 16 118No IAPT funding 45 169 25 239Total 147 169 41 357Table 12 illustrates that services receiving IAPT funding were most likely tobe large services. For smaller services, 97% (155/159) received no IAPTfunding. 66% <strong>of</strong> medium sized services (69/104) do not receive IAPTfunding. The few small services which receive IAPT finding may be ‘start up’services.Table 12: IAPT funding by service sizeService SizeFUNDING Small Medium Large TotalIAPT Funding 4 35 79 118No IAPT funding 155 68 16 239Total 159 103 95 35743


When considering age group with service level (Table 13), the largest group<strong>of</strong> participating services were primary care services providing treatments <strong>for</strong>both working age <strong>and</strong> older adults (35%) <strong>and</strong> secondary care servicesproviding treatments <strong>for</strong> working age adults (25%). All services dedicatedto older people were within secondary or mixed care. There were noprimary care services dedicated to older adults. However, 85% (125/147) <strong>of</strong>primary care teams described themselves as accessible to both working age<strong>and</strong> older adults.Table 13: Age range <strong>of</strong> patients by service levelPrimary Secondary Mixed TotalWorking Age (18-65) 22 89 16 127Older People (65+) - 28 1 29Both (18+) 125 52 24 201Total 147 169 41 357As can be seen from Table 14 the majority <strong>of</strong> smaller services (71%) fallunder secondary care. Larger services were more likely to be found inprimary care (74%), a figure to be expected considering that large servicesare more likely to be funded by IAPT.Table 14: Level <strong>of</strong> care by service sizeService SizeService Level Small Medium Large TotalPrimary 30 47 70 147Secondary 113 46 10 169Mixed 16 10 15 41Total 159 103 95 357Range <strong>of</strong> therapies deliveredFigures 13-15 present the range <strong>of</strong> therapies delivered within IAPT funded<strong>and</strong> non-IAPT services <strong>for</strong> high intensity therapies.44


The provision <strong>of</strong> high intensity therapiesFigure 13: High intensity therapy provision in IAPT funded services(N=118)120100806040200IndividualGroupFigure 14: High intensity provision in non-IAPT services(N=239)250200150100500IndividualGroup45


As can be seen from Figures 13 & 14, the most common high intensitytherapies delivered by IAPT funded services are Cognitive BehaviouralTherapy (CBT), Behavioural Activation Therapy, Counselling, Person-CentredTherapy, Interpersonal Therapy <strong>and</strong> EMDR. Although CBT is also the mostcommonly available therapy in non-IAPT services, there is a slightly moreeven spread across the other individual high intensity therapies, when beingcompared to IAPT services.Regardless <strong>of</strong> the level <strong>of</strong> IAPT funding, Arts <strong>Therapies</strong> <strong>and</strong> DialecticalBehavioural <strong>Therapies</strong> are individual high intensity therapies that are <strong>of</strong>feredby only a very small number <strong>of</strong> services that participated in the audit.In general, group therapies are not <strong>of</strong>fered as frequently as individualtherapies. The most frequently <strong>of</strong>fered group therapies are <strong>for</strong> CognitiveBehavioural Therapy, Behavioural Activation <strong>and</strong> Mindfulness basedCognitive Behavioural Therapy across services that receive IAPT funding.For non-IAPT services the predominant group therapies on <strong>of</strong>fer are <strong>for</strong>Cognitive Behavioural Therapy, Psychodynamic/PsychoanalyticPsychotherapy <strong>and</strong> Mindfulness based Cognitive Behavioural Therapy.46


The provision <strong>of</strong> low intensity therapiesFigures 15 & 16 present the range <strong>of</strong> therapies delivered within IAPT funded<strong>and</strong> non-IAPT services <strong>for</strong> low intensity therapies.Figure 15: Low intensity therapy provision <strong>for</strong> IAPT funded services(N=118)120Number <strong>of</strong> Services100806040200IndividualGroupFigure 16: Low intensity therapy provision <strong>for</strong> non-IAPT services(N=239)140120100806040200IndividualGroup47


The above charts show that across services receiving IAPT funding theprovision <strong>of</strong> individual low intensity therapies is evenly spread with theexception <strong>of</strong> structured exercise, which is <strong>of</strong>fered in only a small number <strong>of</strong>IAPT services. In non-IAPT services, individual psycho-education is on <strong>of</strong>ferin just under 50% <strong>of</strong> services <strong>and</strong> computerised Cognitive BehaviouralTherapy <strong>and</strong> structured exercise are provided less frequently.In general, group therapies are not <strong>of</strong>fered as frequently as individualtherapies. Psycho-education is the low intensity therapy most frequently<strong>of</strong>fered in a group setting across all levels <strong>of</strong> IAPT funding.The most common pr<strong>of</strong>essional groupsFigures 17-19 present the pr<strong>of</strong>essional groups <strong>of</strong> therapists broken down bysize <strong>of</strong> service, funding <strong>and</strong> level <strong>of</strong> service.Figure 17: Pr<strong>of</strong>essional group by size <strong>of</strong> service6005004003002001000SmallMediumLarge48


Figure 18: Pr<strong>of</strong>essional group by funding6005004003002001000IAPT FundedNon IAPT FundedFigure 19: Pr<strong>of</strong>essional group by level <strong>of</strong> service6005004003002001000PrimarySecondaryMixedThe charts above indicate that cognitive behavioural therapists <strong>and</strong>psychological wellbeing practitioners were more likely to work <strong>for</strong> largerservices, services funded by IAPT, <strong>and</strong> primary care services. Secondarycare <strong>and</strong> non-IAPT funded services were more likely to employ clinicalpsychologists.49


Number <strong>of</strong> therapies delivered per serviceFigure 20 indicates the number <strong>of</strong> therapies delivered by services. Themean number <strong>of</strong> different therapies <strong>of</strong>fered by services was 7.2.Figure 20: Number <strong>of</strong> therapies delivered504540353025201510501618212345383538302422 231173 31NB: All low intensity therapies have been grouped together to represent onetherapy.<strong>Therapies</strong> available in different languagesFigure 21 indicates the number <strong>of</strong> services <strong>of</strong>fering therapies in a languageother than English <strong>and</strong> how they can be accessed. Where therapies throughother languages were available they were more likely to be <strong>of</strong>fered viainterpreting services (52%). Overall, 311 (87%) services <strong>of</strong>fered access totherapy in another language either through therapists, interpreting servicesor both. There were 46 (13%) services that <strong>of</strong>fered no access to therapy inanother language.50


Figure 21: Access to therapies in a language other than English200180185 (52%)160140120100103 (29%)8060402023 (6%)46 (13%)0Through TherapistsThrough InterpretingServicesTherapists <strong>and</strong>Interpreting ServicesNot Offered51


Adherence to the audit st<strong>and</strong>ardsThe following section provides in<strong>for</strong>mation on the extent to which each <strong>of</strong>the audit st<strong>and</strong>ards were met.St<strong>and</strong>ard 1: Access to servicesSt<strong>and</strong>ard 1a: The service routinely collects data on age, gender <strong>and</strong>ethnicity <strong>for</strong> each person referred <strong>for</strong> psychological therapyA total <strong>of</strong> 49,963 cases were included <strong>for</strong> this st<strong>and</strong>ard. Table 15 presentsthe completeness <strong>of</strong> this data in terms <strong>of</strong> age, gender <strong>and</strong> ethnicity at apatient level.Table 15: Data completeness <strong>for</strong> age, gender <strong>and</strong> ethnicity(N=49,963)Demographic data Data complete N (%) Missing N (%)Age 49,582 (99) 381 (1)Gender 49,537 (99) 426 (1)Ethnicity 37,785 (76) 12,178 (24)Data completeness at service levelOf the 224 services with six or more cases, 194 (87%) had 100% datacompleteness <strong>for</strong> age, one service was an outlier with 0%, <strong>and</strong> theremaining 29 had between 57% <strong>and</strong> 99% data completeness.Of the 224 services with six or more cases, 167 (75%) had 100% datacompleteness <strong>for</strong> gender, <strong>and</strong> the remaining 57 had between 90% <strong>and</strong> 99%data completeness.There was greater variation between services in data completeness <strong>for</strong>ethnicity. Of the 224 services with six or more cases, 95 (42%) had 100%data completeness <strong>for</strong> ethnicity, two services had 0% data completeness,<strong>and</strong> the remaining services ranged between 15% <strong>and</strong> 99%. This isrepresented in the graph overleaf:52


Figure 22: Data completeness <strong>of</strong> ethnicity coding by service(n=224)Comparisons to other datasets:CORE-IMS<strong>National</strong> data on age, gender <strong>and</strong> ethnicity is routinely collected by services<strong>and</strong> clinicians using the CORE system (Clinical Outcomes in RoutineEvaluation). Between January 1999 <strong>and</strong> October 2008 a total <strong>of</strong> 70,245cases were recorded. Comparing their data completeness in terms <strong>of</strong> age,gender <strong>and</strong> ethnicity with the Table 15 above it can be said that the dataobtained by NAPT is more complete <strong>for</strong> age <strong>and</strong> gender. The CORE dataprovided in<strong>for</strong>mation on age <strong>and</strong> gender <strong>for</strong> 93% <strong>of</strong> cases. In contrast,in<strong>for</strong>mation on ethnicity was more consistently collected by the COREsystem with relevant data on 87% <strong>of</strong> people.IAPTIn July 2010, the IAPT year one data review was published (Glover, Webb &Evison, 2010). This reported on data collected by 32 IAPT sites in the firstroll-out year <strong>and</strong> a total <strong>of</strong> 79,310 cases were submitted <strong>for</strong> analysis on datacompleteness. Overall, the data obtained on age, gender <strong>and</strong> ethnicity byNAPT is more complete than that <strong>of</strong> the IAPT data review. IAPT’s data ismost complete <strong>for</strong> gender (98% <strong>of</strong> cases) with data on ethnicity having thepoorest rate <strong>of</strong> recording (71%). Services <strong>and</strong> clinicians who participated in53


NAPT are consistently collecting in<strong>for</strong>mation on the age <strong>and</strong> gender <strong>of</strong> theirpatients. Data completeness <strong>of</strong> these demographic variables is higher thanother national data sets. However, ethnicity data were missing <strong>for</strong>approximately a quarter <strong>of</strong> cases <strong>and</strong> there was much greater variabilityacross services. The recording <strong>of</strong> this variable will require improvement inthe future.1b: People starting treatment with psychological therapy arerepresentative <strong>of</strong> the local population in terms <strong>of</strong> age, gender <strong>and</strong>ethnicityTable 16 shows the demographic breakdown, where recorded, <strong>for</strong> allpatients included in the audit.Age RangeTable 16: Age range <strong>of</strong> people completing treatment during the auditperiodAge Group N %18-24 6,496 1325-34 12,166 2535-44 12,497 2545-54 9,929 2055-64 5,359 1165-74 1,925 475+ 815 2Total 49,187 100N.B: This does not include data <strong>for</strong> one service that submitted age groups indifferent b<strong>and</strong>ings (394 cases)Comparisons to other datasets:CORE-IMSData provided by CORE follows a similar trend <strong>for</strong> the above age groups,with the exception <strong>of</strong> people over 65 years <strong>of</strong> age; more older people areincluded in the NAPT dataset than in the CORE dataset (6% vs 0.5%).IAPTIn comparison with IAPT’s year one data review, NAPT has obtained similarfigures <strong>for</strong> the breakdown <strong>of</strong> working age adults <strong>and</strong> older people.Office <strong>for</strong> <strong>National</strong> Statistics (ONS)The ONS published data after the 2001 Census. There is a clearunderrepresentation <strong>of</strong> older people (65+) in NAPT’s dataset in comparisonwith the ONS data (6% vs 21%). In addition, there appears to be anoverrepresentation <strong>of</strong> 25-44 year olds in the above data when compared tothe general population in 2001 (50% vs. 38%) as presented in Table 17.54


Table 17: Age range <strong>of</strong> people included in NAPT vs. 2001 census dataAgeGroupNAPT dataN (%)ONS dataN (%)18-24 6,496 (13) 4,371,302 (11)25-44 24,663 (50) 15,168,481 (38)45-64 15,288 (31) 12,394,123 (31)65-74 1,925 (4) 4,367,032 (11)75+ 815 (2) 3,945,742 (10)Total 49,187 (100) 40,246,680 (100)Adult Psychiatric Morbidity Study 2007The <strong>National</strong> Centre <strong>for</strong> Social Research in collaboration with the University<strong>of</strong> Leicester carried out a household survey between October 2006 <strong>and</strong>December 2007 to collect data on mental health among adults aged 16 <strong>and</strong>over in Engl<strong>and</strong>. It provides prevalence rates <strong>of</strong> common mental disorders,which include different types <strong>of</strong> depression <strong>and</strong> anxiety.The highest prevalence rates <strong>of</strong> common mental disorders are among the16-54 year old age groups. There is a lower prevalence <strong>for</strong> people agedover 65 with the lowest rate found <strong>for</strong> people aged over 75 years. The NAPTdataset shows a similar trend in that the majority <strong>of</strong> people receivingtreatment <strong>for</strong> anxiety <strong>and</strong> depression are aged between 25 <strong>and</strong> 54 years <strong>and</strong>a much lower proportion are aged over 65 years.However, the observed proportion <strong>of</strong> older adults included in the audit ismuch lower than might be expected from the prevalence rate as establishedby the Psychiatric Morbidity Study. There is a prevalence rate <strong>for</strong> commonmental disorders <strong>of</strong> 10.6% <strong>for</strong> those aged 65-74 years <strong>and</strong> 9.9% <strong>for</strong> thoseaged over 75 years. In light <strong>of</strong> these prevalence rates, we would expect tosee almost twice as many people aged between 65 <strong>and</strong> 74 years <strong>and</strong> overthree times as many people aged over 75 years in the NAPT dataset aspresented in Table 18.Table 18: The expected <strong>and</strong> observed number <strong>of</strong> people in the NAPTdataset with a common mental disorderAgeGroupExpectedN (%)ObservedN (%)65-74 3,443 (7) 1,925 (4)75+ 2,951 (6) 815 (2)Per<strong>for</strong>ming a chi square test between the expected <strong>and</strong> the observed values,it becomes apparent that the differences between the two groups arestatistically significant <strong>for</strong> both age groups; 65-74 year olds (χ 2 = 669.28,p


GenderTable 19: Gender <strong>of</strong> people completing treatment during the auditperiodGender N %Male 17,092 35Female 32,444 65Total 49,536 100Comparisons to other data sets:As with NAPT, both IAPT <strong>and</strong> CORE have an overrepresentation <strong>of</strong> femalepatients in comparison with the ONS data, which shows an almost equalfemale/male ratio as demonstrated in Table 20.Table 20: Gender <strong>of</strong> people included in NAPT vs. 2001 census dataGenderaged 18+NAPT dataN (%)ONS dataN (%)Male 17,092 (35) 19,281,754 (48)Female 32,444 (65) 20,964,926 (52)Total 49,536 (100) 40,246,680 (100)However, this needs to be considered in light <strong>of</strong> the different prevalencerates <strong>for</strong> common mental health problems in males <strong>and</strong> females. The AdultPsychiatric Morbidity Study established that the prevalence rate is higher <strong>for</strong>females than <strong>for</strong> males (19.7% vs. 12.5%). We would there<strong>for</strong>e expect agender distribution as presented in Table 21.Table 21: The expected <strong>and</strong> observed number <strong>of</strong> people with acommon mental disorderGenderExpected ObservedN (%) N (%)Male 18,329(37) 17,092 (35)Female 31,208 (63) 32,444 (65)Per<strong>for</strong>ming a chi square test between the expected <strong>and</strong> the observed values<strong>for</strong> males, we observe that the differences between the two groups arestatistically significant (χ 2 = 83.3, p


EthnicityTable 22: Ethnicity <strong>of</strong> people completing treatment during the auditperiodEthnic Category N %White - British 31,552 84White - Irish 391 1White - Any other 1,783 5Mixed - White <strong>and</strong> Black Caribbean 216 1Mixed - White <strong>and</strong> Black African 78 0Mixed - White <strong>and</strong> Asian 107 0Mixed - Any other mixed background 272 1Asian or Asian British - Indian 584 2Asian or Asian British - Pakistani 361 1Asian or Asian British - Bangladeshi 99 0Asian or Asian British - Any other Asianbackground 335 1Black or Black British - Caribbean 638 2Black or Black British - African 372 1Black or Black British - Any other Blackbackground 188 0Chinese or Other Ethnic Group - Chinese 97 0Chinese or Other - Any other Ethnic Group 544 1Total 37,617 100NB: Only those data consistent with the above ethnicity codes provided by NAPTwere included in the analysis. This excluded 168 cases.Comparisons to other data sets:The data provided by CORE <strong>and</strong> IAPT follow a similar trend to that collectedby NAPT. In all data sets, over 80% <strong>of</strong> patients are <strong>of</strong> White origin <strong>and</strong> thesmallest group are people <strong>of</strong> Chinese origin.Comparing NAPT data with the 2001 census data, it can be said that theredoes not appear to be an underrepresentation <strong>of</strong> any ethnic group. In fact,the NAPT data has a slightly smaller percentage <strong>of</strong> White British people(84%) than the ONS data (87%). Although the NAPT data set is in line withthe ONS data, it is recognised that there may be some differences inprevalence rates between ethnic groups, as suggested by the AdultPsychiatric Morbidity Study. As the Adult Psychiatric Morbidity Studycollected ethnicity data split by gender, we were unable to compare theNAPT data with this.57


Conclusion1a. Overall, there was 99% data completeness <strong>for</strong> age group; 99%completeness <strong>for</strong> gender; <strong>and</strong> 76% completeness <strong>for</strong> ethnicity. At a servicelevel, the vast majority <strong>of</strong> services had 100% or near data completeness <strong>for</strong>age <strong>and</strong> gender; however, there was much greater variability in the levels<strong>of</strong> completeness <strong>for</strong> ethnicity data.1b. There appears to be an underrepresentation <strong>of</strong> older people (65+) whencompared to expected rates <strong>of</strong> common mental health problems <strong>for</strong> this agegroup. The available ethnicity data is consistent with the ONS data. Noethnic groups appear to be over or underrepresented at national level;however, we did not map the data at local level, <strong>and</strong> no conclusions can bedrawn <strong>for</strong> those patients (24%) <strong>for</strong> whom ethnicity was incomplete.58


St<strong>and</strong>ard 2: Waiting time to assessmentSt<strong>and</strong>ard 2: A person who is assessed as requiring psychologicaltherapy does not wait longer than 13 weeks from the time at whichthe initial referral is received to the time <strong>of</strong> assessmentThe range <strong>of</strong> the waiting time <strong>for</strong> all services from referral to assessmentwas 0 – 292 weeks. Although all possible steps were taken to ensure theaccuracy <strong>of</strong> the data included in the analysis <strong>for</strong> this st<strong>and</strong>ard, it is possiblethat some <strong>of</strong> the waiting times are the result <strong>of</strong> errors in the datessubmitted. Due to the effect on the mean caused by the outliers, themedian waiting times are used when comparing types <strong>of</strong> service.Data <strong>for</strong> 2,407 (5%) <strong>of</strong> patients were incomplete <strong>and</strong> data <strong>for</strong> 614 (1%) <strong>of</strong>patients were incorrect <strong>and</strong> could there<strong>for</strong>e not be included in the analysis.Table 23 presents the days <strong>and</strong> weeks <strong>of</strong> waiting time from referral toassessment. The mean waiting time from referral to assessment <strong>for</strong> allpatients in the dataset was 51 days (7 weeks). The median waiting timewas 29 days (4 weeks).Table 23: Waiting time from referral to assessment(N=46,942)mean median SD rangedays 51.23 29 68.31 0 – 2,047weeks 7 4 10 0 - 29285% (39,854/46,942) <strong>of</strong> patients were assessed within 13 weeks <strong>of</strong> theirreferral. 5% (7,088/46,942) <strong>of</strong> patients waited more than 13 weeks fromreferral to assessment.59


Figure 23: Percentage <strong>of</strong> patients by service who were assessedwithin 13 weeks <strong>of</strong> referral.(n=214 services)NB: Figure 23 above includes services with six or more patients with waitingtimes from referral to assessment. Those services with fewer than sixpatients with waiting times to assessment were excluded from the analysis.A total <strong>of</strong> 214 services were included.60


Table 24: Percentage <strong>of</strong> patients by service who were assessedwithin 13 weeks <strong>of</strong> referral(n=214)% <strong>of</strong> patientsTop 25% services: (76%-100%) >95.1Above average services: (51% -75%) 80.3 – 95.1Below average services: (26%-50%) 60.7 - 80.3Bottom 25% services: (1%-25%)


A Mann-Whitney test found significant difference between the two groups(p


Table 28: Multilevel regression analysis examining effects <strong>of</strong> servicesize, funding <strong>and</strong> service level on waiting times to assessmentVariable Group Ratio (95% CI) P-valueService Size Large 1Medium 1.49 (1.14, 1.95)Small 1.43 (1.03, 1.97) 0.01IAPT Funding No Funding 1Funded 0.96 (0.69, 1.34) 0.83Service level Primary Care 1Secondary Care 1.28 (0.96, 1.70)Mixture Primary/SecondaryCare1.10 (0.81, 1.51) 0.25The results indicated that <strong>of</strong> the three variables, only service size wassignificantly associated with waiting time. After adjusting <strong>for</strong> the effects <strong>of</strong>this variable, there was no additional effect <strong>of</strong> either IAPT funding or servicelevel upon the waiting time.Patients in large services had the shortest waiting time, with longer waitingtimes in medium <strong>and</strong> small services. Waiting times were, on average, 49%longer in medium services compared to large ones, <strong>and</strong> 43% longer in smallservices than in large ones.ConclusionOverall, this st<strong>and</strong>ard was met <strong>for</strong> 85% <strong>of</strong> patients. At a service level, themedian percentage <strong>of</strong> patients meeting the st<strong>and</strong>ard was 80%.Large services had the shortest waiting time to assessment, with patients inmedium services waiting on average 49% longer, <strong>and</strong> patients in smallservices waiting on average 43% longer.63


St<strong>and</strong>ard 3: Waiting time to treatmentSt<strong>and</strong>ard 3: A person who is assessed as requiring psychologicaltherapy does not wait longer than 18 weeks from the time at whichthe initial referral is received to the time that treatment startsTable 29 presents the days <strong>and</strong> weeks <strong>of</strong> waiting time from referral to start<strong>of</strong> treatment.The range <strong>of</strong> the waiting time from referral to treatment across all serviceswas 0 – 257 weeks (


Figure 24: Percentage <strong>of</strong> patients who began treatment within 18weeks <strong>of</strong> referral.(n=216)NB: Figure 24 includes services with six or more patients with waiting timesfrom referral to treatment. Those services with fewer than six patients withwaiting times to treatment were excluded from the analysis. A total <strong>of</strong> 216services were included.Table 30: Percentage <strong>of</strong> patients by service who began treatmentwithin 18 weeks <strong>of</strong> referral.(n=216)% <strong>of</strong> patientsmeetingSt<strong>and</strong>ard 3Top 25% services: (76%-100%) >93.4Above average services: (51%-75%) 79.8– 93.4Below average services: (26%-50%) 50.0 – 79.8Bottom 25% services: (1%-25%)


Waiting times by service type – service levelService sizeTable 31: Waiting time by service sizeService size Mean Median SD RangeSmall (n=67) 118.91 88.5 105.72 10 - 514Medium (n=71) 127.18 84.0 118.66 4 – 619.5Large (n=78) 66.74 49.5 54.10 3 - 311The median waiting time to assessment differs between services <strong>of</strong> differentsizes: small services (0 – 8 WTEs) have the longest median waiting time totreatment (88.5 days); medium-sized services (8 – 20 WTEs) have amedian waiting time <strong>of</strong> 84 days; <strong>and</strong> large services (20+ WTEs) have theshortest median waiting time <strong>of</strong> 49.5 days.A Kruskal-Wallis test found significant difference across the groups(p


days; the median waiting time <strong>for</strong> primary care services was 54.5 days <strong>and</strong><strong>for</strong> mixed primary <strong>and</strong> secondary services was 43 days.A Kruskal-Wallis test found significant difference across the groups(p


St<strong>and</strong>ard 4: Therapy in line with NICE guidanceSt<strong>and</strong>ard 4: The therapy provided is in line with that recommendedby the NICE guideline <strong>for</strong> the patient’s condition/problemTable 35 indicates the number <strong>and</strong> percentage <strong>of</strong> patients <strong>for</strong> each primarydiagnosis. The most frequently reported primary diagnoses were DepressiveEpisode (26%); Mixed <strong>Anxiety</strong> <strong>and</strong> Depression (24%); <strong>and</strong> Generalisedanxiety disorder (14%).Table 35: Percentage <strong>of</strong> patients <strong>for</strong> each primary diagnosisPrimary Diagnosis <strong>of</strong> anxiety or depressive N (%)disorder covered by a NICE guidelineDepressive Episode 6,917 (26)Recurrent or chronic depression 2,132 (8)Generalised anxiety disorder 3,880 (14)Obsessive compulsive disorder/ Body dysmorphic 763 (3)disorderPanic disorder/agoraphobia 981 (4)Post-traumatic stress disorder 717 (3)Primary diagnosis <strong>of</strong> other disordersSocial phobia 483 (2)Simple phobia 335 (1)Health anxiety 93 (


Diagnostic data by serviceFor those services with at least six cases (N=224), the proportion <strong>of</strong> patientswith usable data on primary diagnosis was investigated. From Figure 25, itcan be seen that there is considerable variability across services. Whilst 96services (43%) had submitted data <strong>for</strong> all patients, there were 19 services(8%) that did not provide these data <strong>for</strong> any patients.Figure 25: Percentage <strong>of</strong> patients who have primary diagnosis data.The issue <strong>of</strong> assigning diagnoses is recognised to be contentious in somesettings. Several services that participated in NAPT made it clear that theystrongly oppose the idea <strong>of</strong> allocating diagnoses to people’s presentingproblems <strong>and</strong> believe in other ways <strong>of</strong> <strong>for</strong>mulating a client’s problem <strong>and</strong>determining appropriate interventions. Different approaches on givingdiagnoses may have contributed to the large amount <strong>of</strong> missing data.However, the overall proportion <strong>of</strong> missing diagnoses was consistent withthe IAPT year one data review, which found that a usable diagnosis was onlymade <strong>for</strong> 54% <strong>of</strong> patients.69


The NICE guidelines used <strong>for</strong> measuring this st<strong>and</strong>ard were:CG90 Depression: the treatment <strong>and</strong> management <strong>of</strong> depression in adults(update)CG113 <strong>Anxiety</strong>: Generalised anxiety disorder <strong>and</strong> panic disorder (with orwithout agoraphobia) in adults. Management in primary, secondary <strong>and</strong>community careCG31 Obsessive-compulsive disorder: Core interventions in thetreatment <strong>of</strong> obsessive-compulsive disorder <strong>and</strong> body dysmorphic disorderCG26 Post-traumatic stress disorder: the management <strong>of</strong> PTSD in adults<strong>and</strong> children in primary <strong>and</strong> secondary careFor the purposes <strong>of</strong> measuring the st<strong>and</strong>ard <strong>for</strong> the NICE guidelines <strong>for</strong>depression, the diagnostic categories <strong>of</strong> ‘depressive episode’ <strong>and</strong> ‘recurrentor chronic depression’ were grouped together. The overall proportion <strong>of</strong>clients with a NICE anxiety or depression guideline relating to their diagnosiswas 57%.Of the 14,561 people with a NICE anxiety or depression guideline relating totheir diagnosis, 83% received therapy in line with NICE guidance. Table 36shows the numbers <strong>and</strong> proportion <strong>of</strong> clients <strong>for</strong> each diagnosis.Table 36: Diagnosis <strong>of</strong> anxiety <strong>and</strong> depression with NICE guidancePrimary DiagnosisDepressive Episode orRecurrent or chronic depressionTotal NreceivingtherapyNreceivingNICEtherapy8499 6979 82Generalised anxiety disorder 3,662 3,004 82Obsessive compulsive disorder/ Body 741 664 90dysmorphic disorderPanic disorder/agoraphobia 961 855 89Post-traumatic stress disorder 698 525 75Total 14,561 12028 83%receivingNICEtherapy70


Service level analysisThe service level analysis included all services with at least six patients whowere included in the patient level analysis (N= 173). Figure 26 shows thevariation across services <strong>and</strong> illustrates the way in which the data waspositively skewed. In four <strong>of</strong> those 173 services, no patients received aNICE recommended therapy. This was <strong>for</strong> a variety <strong>of</strong> reasons: incompletedata on therapy type or ‘non-specific’ therapy types entered such as‘integrative’ <strong>and</strong> ‘high intensity’; or the therapies explicitly recorded as beingnon-NICE recommended therapies.Figure 26: Percentage <strong>of</strong> patients by service who receive a NICErecommended therapy(n=173)71


Table 37: Percentage <strong>of</strong> patients with a NICE diagnosis who receivethe recommended therapy(n=173)% <strong>of</strong> patients whoreceived a NICErecommended therapyTop 25% services: (76%-100%) >96.4Above average services: (51% -75%) 87.4 – 96.4Below average services: (26%-50%) 77.5 – 87.4Bottom 25% services: (1%-25%)


St<strong>and</strong>ard 5: Satisfactory number <strong>of</strong> treatmentsessionsSt<strong>and</strong>ard 5: Treatment <strong>for</strong> high intensity psychological therapy iscontinued until recovery or <strong>for</strong> at least the minimum number <strong>of</strong>sessions recommended by the NICE guideline <strong>for</strong> the patient’scondition/problemThe sample included in the analysis <strong>for</strong> this st<strong>and</strong>ard is those patients whohave a primary diagnosis <strong>of</strong> anxiety or depression <strong>for</strong> which there is a NICEguideline <strong>and</strong> who received a NICE recommended high intensity therapy.That is, only those who have met st<strong>and</strong>ard 4 <strong>and</strong> received one or more highintensity therapy session. This included 7,730 patients.Thirty percent <strong>of</strong> these patients received the recommended number <strong>of</strong>sessions <strong>of</strong> high intensity therapy according to the NICE guidance <strong>for</strong> theircondition/problem. Looking at the breakdown by condition it can be seenthat those patients with a diagnosis <strong>of</strong> panic disorder/agoraphobia,OCD/BDD or PTSD were most likely to receive the NICE recommendednumber <strong>of</strong> sessions. This was the case <strong>for</strong> over half <strong>of</strong> the patients withthese diagnoses. However, less than a quarter <strong>of</strong> patients with a diagnosis<strong>of</strong> depression or GAD received the recommended number <strong>of</strong> sessions.Table 38: Percentage <strong>of</strong> patients who receive a NICE high intensitytherapy <strong>and</strong> who receive the recommended number <strong>of</strong> sessionsPrimary Diagnosis Total N Received recommendednumber <strong>of</strong> sessionsN (%)Depressive Episode orRecurrent or chronic depression4872 1151 (24)Generalised anxiety disorder 1280 225 (18)Obsessive compulsive disorder/ Body 585 325 (56)dysmorphic disorderPanic disorder/agoraphobia 494 307 (62)Post-traumatic stress disorder 499 304 (61)Total 7,730 2,312 (30)It was possible to determine pre-treatment ‘caseness’ <strong>for</strong> 90% <strong>of</strong> theincluded sample (N=6,955). The approach to determining caseness tookaccount <strong>of</strong> the different types <strong>of</strong> outcomes measures that were used inparticipating services <strong>and</strong> was based on the following algorithm:1. If both PHQ-9 <strong>and</strong> GAD-7 had been used then caseness was definedas above the cut-<strong>of</strong>f on at least one <strong>of</strong> these2. If they had not both been used, but there was a pre-treatment COREscore then caseness was defined as above the cut-<strong>of</strong>f on CORE3. If the above did not apply, the measure used depended on theprimary diagnosis73


4a. If the primary diagnosis was depression, a measure <strong>of</strong> depressionwas used with the following order <strong>of</strong> priority: PHQ-9, HADS-D, BDI4b. If the primary diagnosis was an anxiety disorder, then a measure <strong>of</strong>anxiety was used with the following order <strong>of</strong> priority: GAD-7, HADS-A,BAIFollowing this algorithm, it was found that 89% (6,187/6,955) <strong>of</strong> the samplemet caseness criteria. 92% (5717/6187) <strong>of</strong> this sample had post-treatmentscores that could be used to determine recovery <strong>and</strong> improvement rates.Recovery was defined as moving from caseness to non-caseness based onthe algorithm above. Reliable improvement was determined by calculatingthe reliable change index <strong>for</strong> the relevant measure (Jacobson & Truax,1991).Of those patients it was found that:• 2,779/5,717 (49%) recovered• 772/5,717 (14%) did not recover, but showed reliable improvement• 2,166/5,717 (38%) neither recovered nor showed reliableimprovementNumber <strong>of</strong> sessions in relation to clinical <strong>and</strong> reliableimprovementOut <strong>of</strong> the sample <strong>of</strong> 5,717 <strong>for</strong> whom post-treatment scores were available,it was found that 3,999 did not have the minimum recommended number <strong>of</strong>sessions. Of those who did not have the recommended number <strong>of</strong> sessions,46% recovered, 13% made reliable improvement but did not recover, <strong>and</strong>41% neither recovered nor made reliable improvement (see Table 39)Table 39: Recovery <strong>and</strong> improvement in those who did not have theminimum recommended number <strong>of</strong> sessionsRecoveredReliableImprovementNeither recovery norreliable improvementTotal1,844 507 1,648 3,999Reasons <strong>for</strong> ending therapy be<strong>for</strong>e the recommendednumber <strong>of</strong> sessionsFor those that did not receive the recommended number <strong>of</strong> sessions, it wasfound that the most frequent reasons <strong>for</strong> therapy ending were completingtreatment (67%) or dropping out/unscheduled discontinuation (28%).74


Table 40: Reasons <strong>for</strong> ending therapy <strong>for</strong> those patients who endedtherapy be<strong>for</strong>e the recommended number <strong>of</strong> sessionsReason why therapy endedN (%)Completed treatment 3573 (67)Dropped out/unscheduled discontinuation 1515 (28)Declined treatment 140 (3)Not suitable <strong>for</strong> service 132 (2)Deceased 2 (


Figure 27: Percentage <strong>of</strong> patients by service who received therecommended number <strong>of</strong> NICE high intensity therapy sessions orwho recovered(n=149)Table 42: Percentage <strong>of</strong> patients by service who either receive therecommended number <strong>of</strong> NICE high intensity sessions or whorecover(n=149)% <strong>of</strong> patients who receivedthe recommended number <strong>of</strong>sessions or who recoveredTop 25% services: (76%-100%) >65.7Above average services: (51% -75%) 56.0 – 65.7Below average services: (26%-50%) 42.3 – 56.0Bottom 25% services: (1%-25%)


ConclusionOverall, this st<strong>and</strong>ard was met <strong>for</strong> 54% <strong>of</strong> patients. At a service level, themedian percentage <strong>of</strong> patients who received the right number <strong>of</strong> sessions orwho recovered was 56%.Number <strong>of</strong> recommended sessions30% <strong>of</strong> patients received the minimum number <strong>of</strong> sessions recommended inthe specific NICE depression or anxiety disorder guideline <strong>for</strong> the patient’scondition/problem. The diagnosis most likely to receive the correct number<strong>of</strong> sessions was panic disorder/agoraphobia (62%) <strong>and</strong> the diagnosis leastlikely was Generalised <strong>Anxiety</strong> Disorder (18%).Recovery <strong>and</strong> reliable improvement ratesIt was possible to calculate this <strong>for</strong> 92% <strong>of</strong> patients who met the pretreatmentcaseness criteria. Of those that did not have the recommendednumber <strong>of</strong> sessions, 46% recovered, 13% made reliable improvement butdid not recover <strong>and</strong> 41% neither recovered nor made reliable improvement.Reasons <strong>for</strong> therapy endingFor those patients who did not receive the minimum number <strong>of</strong> sessions <strong>and</strong>neither recovered nor reliably improved, the most frequently reportedreasons <strong>for</strong> ending therapy were completing treatment (49%) or droppingout/unscheduled discontinuation (44%).77


St<strong>and</strong>ard 6: Therapist trainingSt<strong>and</strong>ard 6: The therapist has received training to deliver thetherapy provided7,145 therapists were nominated by service audit leads <strong>and</strong> a total <strong>of</strong> 3,946(55%) completed the questionnaire. Completion rates per service rangedfrom 0 – 100%. The spread <strong>of</strong> response rate by service can be seen inFigure 5.As can be seen from Figure 28, the most numerous pr<strong>of</strong>essional groupswere clinical psychologists, cognitive behavioural therapists, counsellors <strong>and</strong>psychological wellbeing practitioners. General Practitioners were thesmallest pr<strong>of</strong>essional group delivering psychological therapies <strong>for</strong> anxiety<strong>and</strong> depression.Figure 28: Pr<strong>of</strong>essional group <strong>of</strong> therapists800Pr<strong>of</strong>essional Group <strong>of</strong> Therapists696654632566700Number <strong>of</strong> therapists600500400300200478374214 208 202 1981000100 81 65 63 60 49306Pr<strong>of</strong>essional Group78


Figure 29: Therapists' membership <strong>of</strong> pr<strong>of</strong>essional organisations 210009008007006005004003002001000Membership <strong>of</strong> Pr<strong>of</strong>essional OrganisationsHPC BPS BABCP BACP NMC UKCP Other BPC GMC BAAT IGA3,059 (77%) <strong>of</strong> therapists were registered with at least one pr<strong>of</strong>essionalbody. Therapists were asked to list all organisations <strong>of</strong> which they weremembers. Figure 29 illustrates that the most commonly reportedpr<strong>of</strong>essional bodies were the Health Pr<strong>of</strong>essions Council (HPC), British<strong>Psychological</strong> Society (BPS), British Association <strong>of</strong> Behavioural <strong>and</strong> CognitivePsychotherapy (BABCP) <strong>and</strong> the British Association <strong>for</strong> Counselling <strong>and</strong>Psychotherapy (BACP). Looking at those without membership <strong>of</strong> apr<strong>of</strong>essional body, the main group was <strong>Psychological</strong> Wellbeing Practitioners.The second most frequently reported group <strong>of</strong> unregistered practitionerswere trainees.2 Pr<strong>of</strong>essional organisations listed are:BAAT- British Association <strong>of</strong> Art TherapistsBABCP- British Association <strong>for</strong> Behavioural <strong>and</strong> Cognitive PsychotherapiesBACP- British Association <strong>for</strong> Counselling <strong>and</strong> PsychotherapyBPC - British Psychoanalytic CouncilBPS- British <strong>Psychological</strong> SocietyGMC- General Medical CouncilHPC - Health Pr<strong>of</strong>essions CouncilIGA - Institute <strong>of</strong> Group AnalysisNMC - Nursing <strong>and</strong> Midwifery CouncilUKCP- United Kingdom Council <strong>for</strong> Psychotherapy79


High intensity therapies<strong>and</strong> level <strong>of</strong> trainingFigure 30 <strong>and</strong> Table 43 map the type <strong>of</strong> high intensitytherapy beingdelivered against the highest qualification that the therapist has attained<strong>for</strong>delivery <strong>of</strong> that particular therapy.Figure 30: Level <strong>of</strong> training by high intensity therapy <strong>for</strong>therapists30000Highintensity therapies <strong>and</strong> levell <strong>of</strong> training2500020000150001000050000CBTPsychodynamic therapyPerson‐centredBehavioural activationCounsellingSolution focused therapyMindfulness based CTProblem solving therapySystematic family therapyInterpersonal therapyCognitive analytic therapyCouples therapyEMDRDBTArts psychotherapiesWorking with supervision(without training)Short workshops (up to 10days)No <strong>for</strong>mal trainingFormal training completedCurrently undertaking <strong>for</strong>maltraining80


Table 43: Level <strong>of</strong> training by high intensity therapy <strong>for</strong> therapistsFormaltrainingcompletedN (%)Currentlyundertaking<strong>for</strong>maltrainingN (%)Shortworkshops(up to 10days)N (%)Workingwithsupervision(withouttraining)N (%)N<strong>of</strong>ormaltrainingN (%)CBT 1567 (60) 374 (14) 514 (20) 74 (3) 75 (3)Psychodynamictherapy 798 (58) 106 (8) 231 (17) 102 (7) 132 (10)Person-centred 841 (64) 60 (5) 200 (15) 67 (5) 145 (11)Behaviouralactivation 581 (45) 117 (9) 350 (27) 84 (6) 170 (13)Counselling 867 (70) 64 (5) 152 (12) 53 (4) 105 (9)Solution focusedtherapy 214 (18) 12 (1) 717 (61) 81 (7) 160 (13)Mindfulness based CT 148 (14) 50 (5) 522 (49) 133 (13) 200 (19)Problem solvingtherapy 238 (29) 30 (4) 234 (29) 91 (11) 216 (27)Systematic familytherapy 261 (34) 28 (4) 257 (33) 61 (8) 161 (21)Interpersonal therapy 136 (20) 68 (10) 199 (29) 59 (8) 224 (33)Cognitive analytictherapy 148 (22) 55 (8) 219 (32) 63 (9) 199 (29)Couples therapy 194 (30) 17 (2) 175 (27) 74 (11) 195 (30)EMDR 229 (43) 33 (6) 74 (14) 9 (2) 185 (35)DBT 96 (19) 8 (1) 163 (32) 34 (7) 214 (41)Arts psychotherapies 101 (27) 5 (1) 57 (15) 10 (3) 203 (54)The type <strong>of</strong> high intensity therapy is presented in order <strong>of</strong> the number <strong>of</strong>therapists delivering the intervention, showing that the majority <strong>of</strong>therapists who completed the questionnaire deliver Cognitive behaviouraltherapies (69%) <strong>and</strong> only a small proportion <strong>of</strong> therapists provide Artspsychotherapies (10%).Therapists were most likely to have completed <strong>for</strong>mal training in counselling,person-centred therapy, CBT <strong>and</strong> psychodynamic therapy. Taking a closerlook at the ‘no <strong>for</strong>mal training’ column it can be seen that the number <strong>of</strong>people who have not received <strong>for</strong>mal training increases with the scarcity <strong>of</strong>the delivered therapy. Just over half <strong>of</strong> the people who deliver Artspsychotherapies have not received <strong>for</strong>mal training <strong>for</strong> this intervention.However, everyone delivering this intervention has obtained a qualificationor is undertaking training within a different therapeutic domain.81


Lowintensity therapies<strong>and</strong> level <strong>of</strong> trainingThe data on level <strong>of</strong> training <strong>for</strong> low intensity therapies are presented in thesame<strong>for</strong>mat as high intensity therapies.Figure 31: Level <strong>of</strong> training by low intensity therapy <strong>for</strong> therapists1600Lowintensity therapies <strong>and</strong> levell <strong>of</strong> training1400120010008006004002000Working withsupervision(without training)Short workshops (up to 10days)No <strong>for</strong>mal trainingFormal training completedCurrently undertaking <strong>for</strong>maltrainingTable 44: Level <strong>of</strong> training by low intensity therapy <strong>for</strong> therapistssCurrentlyFormalundertakingtraining<strong>for</strong>malcompletedtrainingN (%) N (%)Psycho-educationGuided/facilitatedd self-helpSignpostingSupport withMedicationPure self helpStructuredexercisecCBTOther therapies803 (54) 684 (53) 524 (41) 616 (56) 432 (40) 355 (40) 253 (31) 260 (52) 115(8)97 (8)78 (6)81 (7)68 (6)58 (7)47 (6)56 (11)Shortworkshops(up to 10days)N (%)Workingwithsupervision(withouttraining)N (%)191 (13)1888 (13)160 (12)159(12)97 (7) 295(23)114 (10)124(11)113 (10)2022 (19)85 (10) 123(14)128 (16)113(14)116 (23)35 (7)N<strong>of</strong>ormaltrainingN (%)178 (12)195 (15)298 (23)176 (16)278 (25)257 (29)266 (33)34 (7)82


It can be seen that the majority <strong>of</strong> therapists had completed <strong>for</strong>mal training<strong>for</strong> the provision <strong>of</strong> support with medication, psychoeducation, guided selfhelp<strong>and</strong> other low intensity therapies. Computerised CBT <strong>and</strong> structuredexercise were the interventions most likely to be delivered without any<strong>for</strong>mal training. When comparing the data it appears that therapistsdelivering low intensity therapies are more likely to be working undersupervision without any training than those therapists delivering highintensity therapies.Therapist qualificationsWhen reporting that they had completed <strong>for</strong>mal training, therapists wereasked to specify the level <strong>of</strong> training received. Figure 32 shows thebreakdown <strong>of</strong> qualifications. The most frequently reported qualification wasa postgraduate diploma.Figure 32: Breakdown <strong>of</strong> qualifications <strong>for</strong> therapistsTherapist Qualifications180016001601140012001000800600912832629 613 5695024002000When looking at the number <strong>of</strong> therapists who had received <strong>for</strong>mal trainingin at least one therapy type, services with fewer than six therapists wereexcluded.At least one therapist in all 205 services examined had received <strong>for</strong>maltraining in one therapy type. In 100 <strong>of</strong> these services, all therapists hadreceived training in at least one type <strong>of</strong> therapy or were currentlyundertaking <strong>for</strong>mal training.83


Figure 33: Percentage <strong>of</strong> therapists who have had or are currentlyreceiving <strong>for</strong>mal training <strong>for</strong> at least one therapy type(n=205)Table 45: Percentage <strong>of</strong> therapists by service who have had <strong>for</strong>maltraining in at least one therapy(n=205)% <strong>of</strong> therapists who havehad <strong>for</strong>mal training in atleast one therapyTop 25% services: (76%-100%) >95.3Above average services: (51%-75%) 85.7 – 95.3Below average services: (26%-50%) 73.0 – 85.7Bottom 25% services: (1%-25%)


Table 46: Percentage <strong>of</strong> therapists by service who have had <strong>for</strong>maltraining or are currently in training <strong>for</strong> at least one therapy(n=205)% <strong>of</strong> therapists who have had<strong>for</strong>mal training or are currentlyin training <strong>for</strong> at least onetherapyTop 25% services: (76%-100%) 100.0Above average services: (51%-75%) 97.0 – 100.0Below average services: (26%-50%) 89.7 – 97.0Bottom 25% services: (1%-25%)


Figure 34: Percentage <strong>of</strong> therapists who have had or are currentlyreceiving <strong>for</strong>mal training <strong>for</strong> at least one NICE recommendedtherapy type(n=205)Table 47: Percentage <strong>of</strong> therapists by service who have had <strong>for</strong>maltraining in at least one NICE recommended therapy(n=205)% <strong>of</strong> therapists who have had<strong>for</strong>mal training in at least oneNICE recommended therapyTop 25% services: (76%-100%) >88.9Above average services: (51%-75%) 78.6 – 88.9Below average services: (26%-50%) 66.7 – 78.6Bottom 25% services: (1%-25%)


Table 48: Percentage <strong>of</strong> therapists by service who have had <strong>for</strong>maltraining or are currently in training in at least one NICErecommended therapy(n=205)% <strong>of</strong> therapists who have had<strong>for</strong>mal training or are currentlyin training <strong>for</strong> at least one NICErecommended therapyTop 25% services: (76%-100%) 100.0Above average services: (51%-75%) 90.0 – 100.0Below average services: (26%-50%) 81.6 – 90.0Bottom 25% services: (1%-25%)


Acceptability <strong>of</strong> therapy providedSt<strong>and</strong>ards 7 <strong>and</strong> 8 were assessed using data from the service user survey.This included the questionnaire ‘Talking Treatment’, which was specificallydeveloped <strong>for</strong> NAPT (<strong>for</strong> a full report on its development, please refer to theNAPT website on www.rcpsych.ac.uk/napt). Talking Treatment is a brief 10-item questionnaire. The first five items are concerned with people’sexperience <strong>of</strong> accessing a service <strong>and</strong> the next five items with people’sexperience <strong>of</strong> receiving treatment.The survey also included a brief questionnaire on therapeutic alliance, theARM-5 (Agnew Relationship Measure). The survey was posted out by eachservice on a selected census date between 1 st October <strong>and</strong> 30 th November2010. It was sent to all service users on the current caseload, who hadreceived at least one treatment session <strong>for</strong> anxiety or depression. Afreepost envelope was provided so that the service user survey could becompleted anonymously <strong>and</strong> returned directly to the NAPT project team.The service user sampleTable 49: Response rate <strong>for</strong> the service user surveyN distributed N returned Response rate %52,582 10,970 21A total <strong>of</strong> 11,706 questionnaires were returned, <strong>of</strong> which 736 were excludedas unusable. The unusable questionnaires were excluded because they hadbeen sent to service users who had not received any therapy sessions; hadbeen sent to patients who were under 18; had been labelled with the wrongservice code. The response rate per service ranged from 0-89%.Demographic in<strong>for</strong>mationThe self-reported demographic in<strong>for</strong>mation in terms <strong>of</strong> gender, age <strong>and</strong>ethnicity <strong>of</strong> the service users who have completed <strong>and</strong> returned the surveyis provided in Tables 50-52.GenderTable 50: Gender <strong>of</strong> people who returned the service userquestionnaireGender N %Male 3,089 29Female 7,670 71Transgender 12


AgeTable 51: Age range <strong>of</strong> people who returned the service userquestionnaireAge Group N %18-24 711 725-34 1,977 1835-44 2,694 2545-54 2,659 2555-64 1,819 1765-74 694 675+ 244 2Total 10,798 100Missing 172EthnicityTable 52: Ethnicity <strong>of</strong> people who returned the service userquestionnaireEthnic Category N %White - British 9,385 87White - Irish 136 1White - Any other 553 5Mixed - White <strong>and</strong> Black Caribbean 58 1Mixed - White <strong>and</strong> Black African 26


have completed the survey when compared to the cohort <strong>of</strong> people whoended therapy between 1 st September <strong>and</strong> 30 th November 2010.In<strong>for</strong>mation on self-reported waiting times <strong>and</strong> type <strong>of</strong> therapy received isprovided below.Length <strong>of</strong> wait reported by service usersTable 53: Length <strong>of</strong> wait from being referred to starting therapyLength <strong>of</strong> wait N %1 month or less 3,209 301-3 months 4,117 394-6 months 1,686 167-9 months 625 610-12 months 399 4More than 12 months 571 5Total 10,607 100Missing 363Table 53 shows that 85% <strong>of</strong> service users reported that they did not waitlonger than six months from being referred to starting their therapy.Type <strong>of</strong> talking treatment reported by service usersAs can be seen in the Table 54, the majority <strong>of</strong> people who completed <strong>and</strong>returned the service user questionnaire stated that they had received CBT orcounselling <strong>and</strong> will have given their responses with those therapeuticapproaches in mind. 13% <strong>of</strong> people were unsure what type <strong>of</strong> talkingtreatment they received.Table 54: Type <strong>of</strong> talking treatmentType <strong>of</strong> talking treatment N %CBT (cognitive behavioural therapy) 5,230 48MBCT (mindfulness based cognitive therapy) 278 3Person-centred/humanistic therapy 205 2Solution-focused therapy 158 1Psychodynamic/psychoanalytic therapy 277 3CAT (Cognitive analytic therapy) 183 2Counselling 2,605 24Low intensity therapy 241 2Other therapy 338 3Not sure 1,402 13Total 10,917 100Missing 5390


St<strong>and</strong>ard 7: Therapeutic allianceSt<strong>and</strong>ard 7: People receiving psychological therapy experience <strong>and</strong>report a positive therapeutic relationship/helping alliance with theirtherapist which is comparable to that reported by people receivingtreatment from other therapists/servicesThis st<strong>and</strong>ard was assessed by using data from the ARM-5 (AgnewRelationship Measure), which is a brief five item questionnaire that aims tomeasure the therapeutic relationship 10,176 (93%) people <strong>of</strong> those whoreturned the service user survey also completed the ARM-5.Table 55: Response rate <strong>for</strong> ARM-5N distributed N returned Response rate %52,582 10,176 19The responses to all five items are on a 7-point Likert scale, which rangesfrom ‘strongly disagree’ to ‘strongly agree’. The middle response option is‘neutral’ <strong>and</strong> the first item is negatively worded thereby reverse scored 3 .The potential range <strong>of</strong> scores is from 5 to 35.Table 56 presents the mean, st<strong>and</strong>ard deviation <strong>and</strong> range <strong>for</strong> the includedsample.Table 56: Mean, st<strong>and</strong>ard deviation <strong>and</strong> range <strong>for</strong> ARM-5(n=10,176)Mean Std. deviation Range30.6 7 5-35Each individual case was assigned a flag to help identify whether the serviceuser reported a very positive therapeutic alliance (green), a moderatelypositive therapeutic alliance (amber) that may require some attention, or aweak therapeutic alliance (red) that requires investigation <strong>and</strong> action.There were several steps involved in identifying the scores <strong>for</strong> which theflags applied. Firstly, the distribution <strong>of</strong> the scores as a whole wasconsidered (see Figure 35). ARM-5 total scores were only included in thisdistribution if responses to all 5 items were given. Some responsesindicated that there may have been confusion over the negatively wordeditem, which is reflected in the small peak at a score <strong>of</strong> 11.3 The negatively worded item was placed as the first item in response to feedbackfrom the pilot phase.91


Figure 35: Frequency count <strong>for</strong> service users’ ARM-5 Total score(n=10,176)Inspection <strong>of</strong> the scores identified a skewed distribution with a long tail (seeFigure 35). As the purpose <strong>of</strong> this st<strong>and</strong>ard was primarily to ensure at leasta positive alliance, a score below neutral (i.e., ≤19) was deemed a red flag,equivalent to a score at the 10th percentile. In addition, we identifiedscores above the 10th but below the 20th percentile as an amber flag inorder to provide an early indicator regarding a less than positive alliance.Accordingly, the resulting cut-<strong>of</strong>f scores were as follows:• Red: ≤19• Amber: 20-27• Green: ≥28Table 57 shows the ARM-5 scores <strong>for</strong> all submitted questionnaires.Table 57: ARM-5 scoresRedN (%)AmberN (%)GreenN (%)1,018 (10) 973 (10) 8,185 (80)The ARM-5 scores were also analysed at a service level <strong>for</strong> services with 6 ormore returns (N=229). The distribution <strong>of</strong> scores can be seen in Figure 3692


Figure 36: Frequency count <strong>for</strong> mean ARM-5 score by service(n=230)Amber Flag20-27Green Flag>28A total <strong>of</strong> eight services (3%) had a mean score which would result in anamber flag. Looking at the proportion <strong>of</strong> green flags per service (Table 60<strong>and</strong> Figure 37), it can be seen that this ranges from 55 to 100 percent. It isrecognised that these findings may be <strong>for</strong> many reasons, including case-mix.However, this may warrant further investigation.93


Tables 58-60: Percentage <strong>of</strong> red, amber, <strong>and</strong> green flags by serviceARM-5 (230 Services): averages <strong>and</strong> quartiles <strong>for</strong> flags:Table 58: Red flagsRedTop 25% services: (76%-100%) 13.3Median 9.4Mean (SD) 9.1 (6.80)The average service had approximately 9% <strong>of</strong> patients receiving a red flagwhile the rate <strong>for</strong> services in the top quartile was less than 5%. Rates weresimilar <strong>for</strong> amber flags.Table 59: Amber flagsAmberTop 25% services: (76%-100%) 13.4Median 8.6Mean (SD) 9.1 (7.12)Table 60: Green flagsGreenTop 25% services: (76%-100%) >88.0Above average services: (51% -75%) 82.1 – 88.0Below average services: (26%-50%) 76.3– 82.1Bottom 25% services: (1%-25%)


Figure 37: Percentage <strong>of</strong> service users with a ‘green flag’ indicatingpositive therapeutic alliance(n=230)The percentage <strong>of</strong> service users with a green flag ranged from 55% - 100%by service. The median percentage, as indicated above, was 82%.ConclusionThis st<strong>and</strong>ard was met <strong>for</strong> 80% <strong>of</strong> patients. At a service level, the medianpercentage <strong>of</strong> patients receiving a green flag was 82%, while the rate <strong>for</strong>services in the top quartile exceeded 88%. It should also be noted that theresponse rate <strong>for</strong> the ARM-5 was 19%; the service users that responded tothe questionnaire may be more favourable about their therapeuticrelationship than those who did not respond.95


St<strong>and</strong>ard 8: Satisfaction with treatmentSt<strong>and</strong>ard 8: Patients/clients report a high level <strong>of</strong> satisfaction withthe treatment that they receiveThis st<strong>and</strong>ard was assessed by using data from the service user survey‘Talking Treatment’. Service users were asked to respond to the questionsby choosing ‘yes’ or ‘no’ <strong>and</strong> were invited to provide free text answers ifthey provided a ‘no’ response or wished to provide any other comments. Theresults from both the quantitative <strong>and</strong> qualitative analysis are presentedunder access <strong>and</strong> outcomes. For the full report on the qualitative data,please visit our website: www.rcpsych.ac.uk/naptAccess to services: findings from the quantitativedataTable 61 shows the service users responses to the five items <strong>of</strong> thequestionnaire referring to ‘Access’.Table 61: Responses to the access section <strong>of</strong> the service userquestionnaire“Yes”N (%)“No”N (%)Questions in Access section1. I was referred <strong>for</strong> talkingtreatment at the right time <strong>for</strong> me 8,689 (82) 1,870 (18) 4112. The waiting time <strong>for</strong> my talkingtreatment to start was reasonable 7,488 (71) 3,085 (29) 3973. My appointment was scheduled ona day/time that was convenient tome 10,085 (95) 546 (5) 3394. I was able to get to myappointment location without toomuch difficulty 10,071 (95) 476 (5) 4235. I received enough in<strong>for</strong>mationabout my talking treatment be<strong>for</strong>eit began 8,610 (82) 1,943 (18) 417Total 44,943 (85) 7,920 (15)Note: percentages do not includethose who gave no response.NoresponseNOverall, 85% <strong>of</strong> responses to this section were positive. The aspects <strong>of</strong>access that had the highest levels <strong>of</strong> satisfaction were the time <strong>and</strong> location<strong>of</strong> the appointment. The lowest levels <strong>of</strong> satisfaction were in relation to thewaiting time <strong>for</strong> treatment to start. Almost a third <strong>of</strong> respondents thoughtthat they had to wait an unreasonable length <strong>of</strong> time <strong>for</strong> therapy to begin.The access data was also broken down at a service level <strong>and</strong> the results canbe seen in Table 62 <strong>and</strong> Figure 38.96


Table 62 Breakdown <strong>of</strong> positive responses to the access section byservice(n=235)% <strong>of</strong> positiveresponses to theaccess sectionTop 25% services: (76%-100%) >89.0Above average services: (51%-75%) 86.0 – 89.0Below average services: (26%-50%) 81.0 – 86.0Bottom 25% services: (1%-25%)


Access to services: key findings from the qualitativedataThemes from the qualitative responses were aggregated across allparticipating services.Six main themes were identified in ‘Access to Talking Treatment’:• Waiting time• Convenience• In<strong>for</strong>mation• Choice• Difficulties experienced• InitiativeThe predominant theme was waiting time, with most respondentscommenting on what they felt was an unreasonable <strong>and</strong> too lengthy waitingperiod at all stages <strong>of</strong> the process – to receive a referral, an assessment <strong>and</strong>the talking treatment itself. Often respondents were <strong>of</strong>fered no choiceregarding therapist, talking treatment, appointment time or venue. If theywere, then it usually resulted in a longer waiting time. Many received littlein<strong>for</strong>mation about the talking treatment until they received their firstappointment <strong>and</strong> in addition, they sometimes experienced difficultiesassociated with administration or communication.These effects combined to cause additional distress to respondents, whowere obviously referred in the first place because <strong>of</strong> their already existingmental health difficulties. Some chased up referrals themselves or tried toresolve other difficulties; however, many were unable to take the initiativein this manner due to their mental health.Example quotes relating to concerns about waiting times include:“Waiting time was too long – 5 months from when I saw my Doctor <strong>and</strong> 4months from when I was assessed. It would have been longer (maybeanother 6 months!) had I not got upset about the wait, at which point theyput me at the top <strong>of</strong> the list”“The treatment took so long to arrange that as a result I lost my life partnerbecause she could no longer cope with the effect that my OCD was havingon our relationship…<strong>and</strong> now I’m devastated.”To view the full report on the qualitative data <strong>for</strong> the service userquestionnaire, please go to the NAPT website: www.rcpsych.ac.uk/napt98


The outcome <strong>of</strong> therapy: findings from thequantitative dataQuantitative dataTable 63 shows service users’ responses to the five items <strong>of</strong> thequestionnaire referring to outcomes <strong>of</strong> treatment.Table 63: Responses to the outcomes section <strong>of</strong> the service userquestionnaire“Yes”N (%)“No”N (%)Questions in Outcomes section1. This talking treatment helps me tounderst<strong>and</strong> my difficulties 9,981 (94) 629 (6) 3602. I am getting the right kind <strong>of</strong> help 9,160 (90) 1,031 (10) 7793. I am receiving the right number <strong>of</strong>sessions <strong>of</strong> talking treatment 8,362 (83) 1,707 (17) 9014. If I have similar difficulties in thefuture, I would take up this talkingtreatment again 9,542 (92) 850 (8) 5785. This talking treatment helps mecope with my difficulties 9,291 (90) 977 (10) 702Total 46,336 (90) 5,194 (10)Note: percentages do not include thosewho gave no response.Overall, 90% <strong>of</strong> responses to this section were positive. The highest level <strong>of</strong>satisfaction was in relation to having a better underst<strong>and</strong>ing <strong>of</strong> difficultiesexperienced. The aspect that service users were least satisfied with was thenumber <strong>of</strong> sessions that they were receiving.The outcome data was also broken down at a service level.NoresponseNTable 64 Breakdown <strong>of</strong> positive responses to the outcomes sectionby service(n=235)% <strong>of</strong> positive responses toOutcomes sectionTop 25% services: (76%-100%) >95.0Above average services: (51% -75%) 92.0 – 95.0Below average services: (26%-50%) 88.0 – 92.0Bottom 25% services: (1%-25%)


Figure 39: Percentage <strong>of</strong> positive responses <strong>for</strong> outcome at a servicelevel(n=235)At a service level the percentage <strong>of</strong> positive responses was quite high overallwhich is reflected in the median <strong>of</strong> 92%, suggesting that in general, serviceusers were satisfied with the outcome <strong>of</strong> their treatment across differentservices. There is, however, considerable variation across services, with thepercentage <strong>of</strong> positive responses ranging from 54 – 100%.The outcome <strong>of</strong> therapy: findings from the qualitativedataSeven main themes were identified in ‘Outcome <strong>of</strong> Talking Treatment’:• Sessions• Therapist• Talking treatment approach• Structure <strong>and</strong> <strong>for</strong>mat <strong>of</strong> talking treatment• Personal factors• Talking treatment outcomes• Alternative services100


Issues related to sessions were highlighted, with the majority <strong>of</strong>respondents feeling they had not received enough talking treatmentsessions. Most respondents valued the skills, experience <strong>and</strong> personalqualities <strong>of</strong> their therapist <strong>and</strong> felt com<strong>for</strong>table talking.The majority <strong>of</strong> comments received on the talking treatment approachrelated to low intensity treatments that were telephone based. Mostrespondents were critical <strong>of</strong> this approach, including disliking thequestionnaires, although some appreciated the accessibility <strong>of</strong> the approach.The majority <strong>of</strong> respondents felt the talking treatment had helped them tounderst<strong>and</strong> their difficulties better; however, they expressed mixed viewsabout whether it had helped them to cope better. They appreciated thestrategies <strong>and</strong> skills they had learnt but sometimes found them difficult toput into practice. Often respondents felt that their talking treatment had notcovered everything that they wanted to talk about. Some were hopefulabout the future, others concerned about relapsing.To view the full report on the qualitative data <strong>for</strong> the service userquestionnaire, please go to the NAPT website: www.rcpsych.ac.uk/naptConclusionOverall, 87% <strong>of</strong> the responses to the access <strong>and</strong> outcomes section <strong>of</strong> thequestionnaire were positive.Quantitative data indicated slightly higher overall levels <strong>of</strong> satisfaction withoutcomes <strong>of</strong> therapy when compared to access to therapy. The lowestlevels <strong>of</strong> satisfaction were in relation to the waiting time <strong>for</strong> treatment tostart <strong>and</strong> the number <strong>of</strong> sessions that respondents were receiving.It should also be noted that the response rate <strong>for</strong> the service userquestionnaire was 21%; the service users that responded to thequestionnaire may be more favourable about their experience <strong>of</strong> therapythan those who did not respond.101


St<strong>and</strong>ard 9: Outcome measurementSt<strong>and</strong>ard 9a: The service routinely collects outcome data in order todetermine the effectiveness <strong>of</strong> the interventions providedTable 65: Percentage <strong>of</strong> patients with both a first <strong>and</strong> last score <strong>for</strong>each clinical measure usedMeasure:Not completedpre- or posttreatmentscoresn (%)Pretreatmentscores onlyn (%)Posttreatmentscores onlyn (%)Both pre- <strong>and</strong>post-treatmentscoresn (%)PHQ-9 5736 (14) 3697 (9) 296 (


Figure 40: Percentage <strong>of</strong> patients by service with at least one pre<strong>and</strong> post measure(n=222)NB: Figure 40 includes all services with at least six patients in the dataset,<strong>and</strong> shows the proportion <strong>of</strong> patients who had a pre <strong>and</strong> post score on atleast one outcome measure.Table 66: Percentage <strong>of</strong> patients with a pre <strong>and</strong> post score <strong>for</strong> atleast one outcome measure(n=222)% <strong>of</strong> patients with apre <strong>and</strong> post score <strong>for</strong>at least one outcomemeasureTop 25% services: (76%-100%) >93.3Above average services: (51% -75%) 75.8 – 93.3Below average services: (26%-50%) 37.6 – 75.8Bottom 25% services: (1%-25%)


76%. It should be noted that the relatively high rate <strong>of</strong> outcome completioncan be attributed in part to the large percentage <strong>of</strong> the dataset which camefrom IAPT services, which collect outcomes data at every session.Conclusion81% <strong>of</strong> patients had both a first <strong>and</strong> last score on at least one measure. Ata service level, the median proportion <strong>of</strong> patients with both a first <strong>and</strong> lastscore on at least one measure was 76%.104


St<strong>and</strong>ard 9b: The clinical outcomes <strong>of</strong> patients/clients receivingpsychological therapy in the therapy service are comparable tothose achieved to benchmarks from clinical trials <strong>and</strong> effectivenessstudies <strong>and</strong> to those achieved by other therapy servicesIn relation to this st<strong>and</strong>ard, services were included if they had a first <strong>and</strong>last score on any measure <strong>of</strong> depression, anxiety or common mental healthdisorders (generic measure). Sixty-six services had no first <strong>and</strong> last scoreon any <strong>of</strong> these measures. There may be concern that services/therapistscould ‘cherry pick’ their returns thereby inflating their outcomes <strong>and</strong>increasing the unreliability <strong>of</strong> aggregated outcomes. This was addressed byexcluding services with return rates <strong>of</strong> less than 35%. A second issueconcerns the actual numbers returned <strong>and</strong> how services with particularlylarge or small returns may influence the overall spread. It was found thatno single or small group <strong>of</strong> high return services dominated the dataset.However, services with small returns were found to have an undue impact.An inclusion cut-<strong>of</strong>f <strong>of</strong> five or more patients was there<strong>for</strong>e adopted. (For afuller discussion <strong>of</strong> the rationale <strong>for</strong> the exclusion criteria adopted please seeAppendix G).As some services used more than one outcome measure, there was somevariation in the number <strong>of</strong> services included <strong>for</strong> each ‘diagnostic’ analysis.For depression; 151 services were excluded (106 had no measure <strong>of</strong>depression, 14 had a return rate


Overall patient outcomes (utilising all outcome measures)Uncontrolled effect sizes (ESs) (Cohen’s d) are presented according to themajor diagnostic groups <strong>of</strong> depression <strong>and</strong> anxiety with condition-specificmeasures within each group. Table 67 presents ESs across all service types<strong>and</strong> levels, <strong>for</strong> all patients with a time 1 <strong>and</strong> time 2 measure.Table 67: Overall effect sizes (ES) <strong>for</strong> each measure/diagnosisMeasurePatientsNTime 1Mean (SD)Time 2Mean (SD)Uncontrolledeffect size(95% CI)Depression:PHQ-9 32332 14.1 (6.52) 8.8 (6.99) 0.81 (0.80, 0.83)HADS-D 246 10.2 (4.81) 5.8 (4.42) 0.91 (0.72, 1.11)BDI-II 98 27.4 (11.98) 13.6 (11.46) 1.15 (0.83, 1.48)<strong>Anxiety</strong>:GAD-7 32117 12.7 (5.39) 7.9 (6.04) 0.89 (0.87, 0.91)HADS-A 249 13.4 (4.42) 8.4 (4.78) 1.13 (0.93, 1.33)BAI 82 24.2 (12.34) 12.1 (9.35) 0.98 (0.64, 1.32)Generic:CORE-OM 2267 18.2 (6.92) 10.8 (7.72) 1.07 (1.00, 1.14)Functioning:WSAS 29259 17.53 (9.40) 11.66 (9.74) 0.62 (0.60, 0.63)The larger ESs <strong>for</strong> measures used less frequently are partly a function <strong>of</strong> theservice type, as services choose <strong>and</strong> use the measures that reflect theirlevel <strong>and</strong> type <strong>of</strong> service <strong>and</strong> funding source. Primary care <strong>and</strong> IAPT fundedservices are likely to use PHQ-9 <strong>and</strong> GAD-7 while secondary care <strong>and</strong> non-IAPT funded services use CORE-OM or HADS-D <strong>and</strong> HADS-A, or BDI-II <strong>and</strong>BAI.Table 68: Service effect sizes (ES) <strong>for</strong> each diagnosis/measuresDepression <strong>Anxiety</strong> GenericServices N 121 118 33Top 25% services: (76%-100%) >1.05 >1.12 >1.32Above average services: (51% -75%) 0.87 – 1.05 0.95 – 1.12 1.11 – 1.32Below average services: (26%-50%) 0.70 – 0.86 0.78 – 0.94 0.98 – 1.10Bottom 25% services: (1%-25%)


For the CORE-OM, the overall effect size was higher than that found <strong>for</strong> pre-IAPT primary care counselling services (when all patients who had attendedat least one session were included). A total <strong>of</strong> 27 (81.8%) NAPT serviceshad ESs <strong>for</strong> CORE-OM greater than 0.91. When considering depression, theoverall PHQ-9 effect size found <strong>for</strong> NAPT services was lower than that found<strong>for</strong> the IAPT demonstration sites, but higher than the IAPT pilot roll out.Thirteen (10.7%) services had ESs the same or greater than the DoncasterIAPT demonstration site, while 42 (34.7%) had ESs greater than theNewham site. Compared to the IAPT pilot roll out, 91 (75.2%) <strong>of</strong> NAPTservices had larger ESs.When considering anxiety, the overall GAD-7 effect size found <strong>for</strong> NAPTservices was lower than that found <strong>for</strong> the IAPT demonstration sites, buthigher than the IAPT pilot roll out. Twenty-three (19.5%) <strong>and</strong> 41 (34.7%)services had an anxiety ES the same or greater than the Doncaster <strong>and</strong>Newham demonstration sites respectively, while 97 (82.2%) <strong>of</strong> NAPTservices had ESs the same or greater than the average <strong>for</strong> the pilot roll out.107


Table 69: Effect size benchmarksTreatmentsetting & sampleDesign Source n/kPre-IAPT servicesMeasurePre-posteffect sizePre-IAPT primarycare counselling(34 services)/Attending at least1 sessionIAPT funded/Patients receivedminimum <strong>of</strong> 2sessionsIAPT funded (pilotroll out)/ Received2 or more sessionsUK trials <strong>of</strong> CBTbasedinterventions <strong>for</strong>depressionUK trials <strong>of</strong> CBTbasedinterventions <strong>for</strong>anxietyUS <strong>and</strong> UK trials <strong>of</strong>psychologicaltherapiesRoutinelycollecteddata fromservicesEvaluation<strong>of</strong> IAPTdemonstration sitesEvaluation<strong>of</strong> IAPT pilotroll out(n=30)Trials-basedTrials-basedTrials-basedBarkhamet al.(2011)n=18,094n=16,145 4IAPT-funded servicesParry etal. (2011)Glover etal. (2010)UK trialsParry etal. (2011)Parry etal. (2011)n=4,154n=1,148n=19,467CORE-OMCORE-OMPHQ-9GAD-7PHQ-9GAD-7PHQ-9GAD-70.911.19 41.17 11.17 10.98 21.06 20.69Range: 0.38to 0.950.72Range: 0.41to 1.09k=8 BDI 1.49k=9 BAI 1.42US <strong>and</strong> UK trialsMinamaniet al. k=11 BDI 1.71(2007)1 Doncaster service; 2 Newham service; 3 Fixed effects model; reduces to 1.19 usingr<strong>and</strong>om effects model; 4 Patients scoring above clinical cut-<strong>of</strong>f at intake only.108


Recovery ratesUse <strong>of</strong> recovery rates is a more clinically meaningful index than effect sizes<strong>for</strong> comparing services. When service effect size rankings, recoveryrankings, <strong>and</strong> the allocation to quartiles <strong>for</strong> both were compared there wasconsiderable disagreement. For example, <strong>for</strong> PHQ-9, 46.7% <strong>of</strong> serviceswere not placed in the same quartile when quartiles <strong>for</strong> recovery rates <strong>and</strong>effect sizes were compared. There<strong>for</strong>e a service in the top 25% on onemethod may not be in the top 25% on the other.Multilevel modelling was utilised as the most appropriate method <strong>for</strong>assessing variation between higher level, ‘cluster’ variables, in this case‘services’, <strong>and</strong> showed greater agreement with the recovery rates as ameans <strong>of</strong> allocating services to quartiles. It also showed a small butsignificant service effect <strong>of</strong> 4.2%. That is, controlling <strong>for</strong> first score, 4.2% <strong>of</strong>the variation in patient outcome is due to the service they attended.For services with both PHQ-9 <strong>and</strong> GAD-7, both measures were used toassess caseness <strong>and</strong> recovery. Following st<strong>and</strong>ard procedures, caseness atfirst is defined as above the clinical cut-<strong>of</strong>f on either or both measures (cut<strong>of</strong>fs<strong>of</strong> 10 or more <strong>for</strong> PHQ-9, 8 or more <strong>for</strong> GAD-7). Recovery is defined asmoving from caseness at first to be below clinical cut-<strong>of</strong>f on both measuresat last. Excluding services with returns fewer than five <strong>and</strong> return rates <strong>of</strong>less than 35%, 105 services had used this combined measure. In addition,25 services had adequate CORE-OM returns. For those services, recovery isdefined as moving from caseness at first (above the clinical score cut-<strong>of</strong>f <strong>of</strong>10 or more) to below the cut-<strong>of</strong>f at last. Reliable improvement wasdetermined by calculating the reliable change index <strong>for</strong> the relevantmeasure (Jacobson & Truax, 1991). Table 70 has recovery rates (clinicalcaseness to non-caseness) <strong>and</strong> improvement rates (that in addition hadpatients who made reliable improvement but did not recover) <strong>for</strong> these 130services.109


Table 70: Percentage improvement rates <strong>for</strong> NAPT services(n=130)% recovery rate% improvementrateTop 25% services: (76%-100%) >56.7 >69.0Above average services: (51% -75%) 48.7–56.7 62.8–69.0Below average services: (26%-50%) 41.5–48.6 55.2–62.7Bottom 25% services: (1%-25%)


ConclusionThe mean recovery rate <strong>for</strong> participating services was 49% with the topquartile achieving recovery rates <strong>of</strong> greater than 57%.Few participating services had effect sizes that were comparable to thosefound in trials data, but the outcomes are broadly similar to those reportedin the practice-based literature.N.B: As might be expected, few services in the NAPT sample had effect sizescomparable to those found in trials data. The level <strong>of</strong> disagreement found betweenservice effect size rankings <strong>and</strong> recovery rankings needs to be taken into accountwhen drawing any conclusions from the comparisons made. In addition, there is asubstantial overlap between the NAPT sample <strong>and</strong> evaluations <strong>of</strong> IAPT services,which dominated the sample. However, the NAPT sample does comprise somesecondary care services that give it greater representation <strong>of</strong> psychological servicesgenerally, although a considerably larger sample from secondary services isrequired in order to provide robust benchmarks that could be applied to differentlevels <strong>of</strong> service provision.111


St<strong>and</strong>ard 10: AttritionSt<strong>and</strong>ard 10: The rate <strong>of</strong> attrition from commencing treatment tocompleting treatment is comparable to that <strong>of</strong> other therapyservicesOf 49,963 patients who ended therapy in the audit period, the reasons <strong>for</strong>ending therapy are presented in Table 72.Table 72: Reasons <strong>for</strong> ending treatmentReason <strong>for</strong> ending treatment N (%)Dropped out <strong>of</strong> treatment/unscheduled 12,061 (25)discontinuationCompleted treatment 31,303 (64)Declined treatment 2,649 (5)Not suitable <strong>for</strong> the service 2,523 (5)Unknown 399 (1)Deceased 27 (0)Total 48,962 (100)Missing 1001N.B: The missing category includes those with reasons <strong>for</strong> therapy ending outside <strong>of</strong>the categories provided by NAPT (62 cases)Of 48,962 patients where the reason <strong>for</strong> therapy ending was known, 12,061patients dropped out <strong>of</strong> treatment. There<strong>for</strong>e, there was an attrition rate <strong>of</strong>25% <strong>for</strong> the entire dataset. This is slightly higher than the data provided inthe IAPT year one review, which states an attrition rate <strong>of</strong> 21.6%.Table 73 presents the mean, median <strong>and</strong> range <strong>of</strong> treatment sessionsreceived <strong>for</strong> those people who completed <strong>and</strong> dropped out <strong>of</strong> treatment.Table 73: Mean, median <strong>and</strong> range <strong>of</strong> treatment sessions receivedReason <strong>for</strong> endingtreatmentmean median range missingCompleted treatment 7.15 5 1 - 240 898Dropped out <strong>of</strong> treatment 3.2 2 0 - 127 315Further to this, 1,079 (2%) people did not attend their first treatmentsession. This includes people who had 0 treatment sessions recorded.112


Figure 41: Attrition rate by service(n=221)NB: Figure 41 includes all services with 6 or more cases in the retrospective auditdataset (Questionnaire 3). Those with fewer than 6 cases were excluded from theanalysis.Table 74: Percentage attrition rates <strong>for</strong> NAPT services(n=221)% <strong>of</strong> patients whodropped outTop 25% services: (76%-100%) 28.5Median 18.6Mean (SD) 19.3 (12.7)113


ConclusionThe attrition rate <strong>for</strong> people ending therapy within the audit period is 25%.The attrition rate ranged from 0 – 50% across services, with a median <strong>of</strong>19%.Both very high <strong>and</strong> very low attrition rates could be worthy <strong>of</strong> furtherexploration by the services concerned.114


Final SummaryThis first ever national clinical audit <strong>of</strong> psychological therapy services <strong>for</strong>people with anxiety <strong>and</strong> depression has yielded some very interestingresults, as summarised below:1. The psychological therapy services that participated in the audit varygreatly in size.2. Older people are less likely to receive psychological therapy than youngerpeople.3. The waiting time st<strong>and</strong>ard, both from referral to assessment <strong>and</strong> fromreferral to treatment, was met <strong>for</strong> 85% <strong>of</strong> patients <strong>for</strong> whom data werereturned.4. The analysis <strong>of</strong> clinical outcome measures showed that nearly 49% <strong>of</strong>patients with pre- <strong>and</strong> post-treatment measures had recovered at theend <strong>of</strong> therapy. The outcomes <strong>for</strong> participating services are broadlysimilar to those reported in other large evaluations <strong>of</strong> psychologicaltherapy in routine clinical settings, but lower than that reported inr<strong>and</strong>omised controlled trials.5. Ninety percent <strong>of</strong> patients who returned a questionnaire reported apositive therapeutic alliance with their therapist.6. The type <strong>of</strong> therapy provided is in line with NICE guidance <strong>for</strong> 83% <strong>of</strong>patients with a diagnosis <strong>for</strong> which there is a NICE clinical practiceguideline.7. Seventy percent <strong>of</strong> patients who had high intensity therapy did notreceive the minimum number <strong>of</strong> treatment sessions that NICErecommends.8. A number <strong>of</strong> therapists are delivering therapies <strong>for</strong> which they havereceived no specific training.9. There is substantial variation between services in meeting the auditst<strong>and</strong>ards.10. Patients from small <strong>and</strong> particularly medium services waited longer thanpatients from large services <strong>for</strong> both assessment <strong>and</strong> treatment.11. The extent to which services routinely collect outcomes data is unclear.12. Some psychological therapy services are poor at recording the ethnicity<strong>and</strong> diagnosis <strong>of</strong> the patients they treat.115


As well as keeping in mind the vast differences between the services takingpart in NAPT, the key findings need to be considered in light <strong>of</strong> themethodological limitations <strong>of</strong> the audit. These include:• The fact that data returns were not evenly spread across services; <strong>for</strong>some st<strong>and</strong>ards, a small proportion <strong>of</strong> teams produced the majority <strong>of</strong>data returns.• Potential response bias resulting from the different options services had<strong>for</strong> returning data; <strong>for</strong> example some services returned case note datausing automated IT systems whereas some produced data manually.• The variation in data completeness.Overall, the positive findings are very encouraging, but there is clearly stillroom <strong>for</strong> improvement. Members <strong>of</strong> the NAPT project team, steering group<strong>and</strong> expert advisory group are committed to sharing <strong>and</strong> discussing thesefindings with stakeholders, with the aim <strong>of</strong> developing the recommendations<strong>and</strong> improving future therapy provision.The future <strong>of</strong> NAPTIn June 2011, the <strong>National</strong> <strong>Audit</strong> <strong>of</strong> <strong>Psychological</strong> <strong>Therapies</strong> secured fundingfrom the Healthcare Quality Improvement Partnership (<strong>HQIP</strong>) <strong>for</strong> a furthertwo years. From October 2011-2013, the following activities will take place:• The NAPT team will continue to disseminate findings <strong>and</strong>recommendations from the baseline audit. This will include the promotion<strong>of</strong> local <strong>and</strong> national action planning.• The team will undertake a re-audit in late 2012 to measure change in the18 months since the baseline audit.Regular updates will be available in our newsletter <strong>and</strong> onwww.rcpsych.ac.uk/napt116


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Appendix A: Steering GroupChaired by John Cape, Head <strong>of</strong> <strong>Psychological</strong> <strong>Therapies</strong> in Camden <strong>and</strong>IslingtonOrganisation<strong>Anxiety</strong> UKBritish <strong>Psychological</strong> Society (BPS)BPS DCP Managers FacultyBritish Association <strong>for</strong> Behavioural <strong>and</strong>Cognitive Psychotherapies (BABCP)British Association <strong>for</strong> Counselling <strong>and</strong>Psychotherapy (BACP)British Psychoanalytic Council (BPC)Care Quality Commission (CQC)Clinical Outcomes in Routine Evaluation(CORE)Healthcare Quality ImprovementPartnership (<strong>HQIP</strong>)Improving Access to <strong>Psychological</strong><strong>Therapies</strong> (IAPT)Mental Health Providers ForumMindNew Savoy PartnershipNo PanicRethinkRoyal College <strong>of</strong> General Practitioners(RCGP)Royal College <strong>of</strong> Nursing (RCN)Royal College <strong>of</strong> Psychiatrists’Psychotherapy Faculty (RCPsych)United Kingdom Council <strong>for</strong>Psychotherapy (UKCP)NameCatherine O'NeillAngela DouglasDiane ClareAndrea EdeleanuStephen KellettJenny RiggsSally AldridgeChristina DoccharNancy Rowl<strong>and</strong>James MosseMalcolm AllenAnthony DeeryJohn Mellor-ClarkRichard EvansHelen LaingLailaa CarrYvonne SiloveBecky Dewdney-YorkJames SewardJudi-Ann Dumont-BarterDr Ian McPhersonMariam KempleVicki EnsorJeremy ClarkeNancy MitchellPaul JenkinsJohn LarsenImran RafiNigel MathersIan HulattChris MaceLinda GaskJames Antrican119


Appendix B: Participating organisations<strong>and</strong> servicesPilot SitesAbertawe Bro Morgannwg University HBSwansea/Abmu Wellbeing ServiceSwansea/Abmu <strong>Psychological</strong> Therapy ServiceBridgend <strong>Psychological</strong> Therapy ServiceNeath Port Talbot <strong>Psychological</strong> Therapy ServiceBristol PCTWomankind Counselling ServiceAvon Sexual Abuse CentreCruse Bereavement CareCambridgeshire <strong>and</strong> Peterborough NHS Foundation TrustCambridgeshire IAPT ServiceMid Essex IAPT ServiceKnowsley PCTKnowsley Primary Care Mental Health ServiceSheffield Health <strong>and</strong> Social Care NHS Foundation TrustSheffield IAPT ServiceSouth London <strong>and</strong> Maudsley Mental Health TrustSouthwark Assessment <strong>and</strong> Brief Treatment (ABT) TeamSouthwark <strong>Psychological</strong> <strong>Therapies</strong> IAPT ServiceSouthwark <strong>Psychological</strong> Therapy Service <strong>for</strong> Older PeopleLambeth Mental Health <strong>of</strong> Older Adults <strong>Psychological</strong> Therapy ServiceLambeth South-West Sector ABT TeamNorth Lambeth ABT TeamLambeth South-East sector ABT TeamSurrey <strong>and</strong> Borders Partnership NHS Foundation TrustCommunity Health Psychology ServiceShaw’s Corner Primary Care Mental Health TeamArts Therapy ServicePsychotherapy ServiceTraf<strong>for</strong>d PCTTraf<strong>for</strong>d cCBT Service/Self Help ServicesWrexham LHBWrexham & Flintshire <strong>Psychological</strong> <strong>Therapies</strong>Wrexham & Flintshire Primary Care Counselling First AccessConwy & Denbighshire <strong>Psychological</strong> <strong>Therapies</strong>Conwy & Denbighshire Primary Care Counselling120


<strong>National</strong> <strong>Audit</strong>WalesOrganisationnumber <strong>of</strong>servicesAbertawe Bro Morgannwg University Health Board 5Aneurin Bevan Local Health Board 15Betsi Cadwaladr University Health Board 9Cardiff & Vale University Local Health Board 4Cwm Taf Local Health Board 3Hywel Dda Health Board 7Powys Teaching Health Board 4Stepping Stones 1Engl<strong>and</strong>East <strong>of</strong> Engl<strong>and</strong>Organisationnumber <strong>of</strong>services<strong>Anxiety</strong> Care 1Cambridgeshire <strong>and</strong> Peterborough NHS Foundation Trust 2Hert<strong>for</strong>dshire Community NHS Trust 1Hert<strong>for</strong>dshire Partnership NHS Foundation Trust 24Mind Suffolk 1NHS Bed<strong>for</strong>dshire 3Norfolk <strong>and</strong> Waveney Mental Health NHS Foundation Trust 4Norfolk Community Health <strong>and</strong> Care 1North Essex Partnership NHS Foundation Trust 3South Essex Partnership University NHS Foundation Trust 7Suffolk Mental Health Partnership NHS Trust 2121


East Midl<strong>and</strong>sOrganisationnumber <strong>of</strong>servicesDerby <strong>Psychological</strong> Therapy Service 1Derbyshire Mental Health Services NHS Trust 1Lincolnshire Partnership NHS Foundation Trust 3NHS Northamptonshire 1NHS Nottingham City 1Nottinghamshire Healthcare NHS Trust 1Turning Point – IAPT (Derbyshire Right Steps) 1LondonOrganisationnumber <strong>of</strong>servicesBarnet, Enfield <strong>and</strong> Haringey Mental Health NHS Trust 3Big White Wall Ltd 1Bromley PCT 1Camden <strong>and</strong> Islington NHS Foundation Trust 3Central <strong>and</strong> North West London NHS Foundation Trust 6Central London Community Healthcare 1City <strong>and</strong> Hackney PCT 1East London NHS Foundation Trust 2Greenwich PCT 1Islington PCT 2Mind City <strong>and</strong> Hackney 1Mind Croydon 1Mind Barnet 1Mind Westminster 1Nafsiyat Voluntary Service 1NHS Camden 1NHS Haringey 1North East London NHS Foundation Trust 8Oxleas NHS Foundation Trust 1Refugee Therapy Centre 1South London <strong>and</strong> Maudsley NHS Foundation Trust 15South West London <strong>and</strong> St George's Mental Health NHSTrust 4Tavistock <strong>and</strong> Portman NHS Foundation Trust 1Tower Hamlets Community Health Services 1Turning Point – Kingston Right Steps 1West London Mental Health NHS Trust 2Westminster PCT 1Women’s Therapy Centre 1122


North EastOrganisationnumber <strong>of</strong>servicesAlliance Primary Care <strong>Psychological</strong> <strong>Therapies</strong> Services 1Gateshead PCT 1Mind Washington 1Northumberl<strong>and</strong> PCT 1Northumberl<strong>and</strong>, Tyne <strong>and</strong> Wear NHS Foundation Trust 9South Tyneside PCT 1Tees, Esk <strong>and</strong> Wear Valleys NHS Foundation Trust 4North Westnumber <strong>of</strong>Organisationservices5 Boroughs Partnership NHS Foundation Trust 5Axa ICAS Ltd 1Cheshire <strong>and</strong> Wirral Partnership NHS Foundation Trust 3Cumbria Partnership NHS Foundation Trust 1Knowsley PCT 1Lancashire Care NHS Foundation Trust 9Manchester Mental Health <strong>and</strong> Social Care Trust 2Mersey Care NHS Trust 5NHS Blackpool 1NHS East Lancashire 1NHS Sal<strong>for</strong>d 1Pennine Care NHS Foundation Trust 8Simeon Centre Counselling Service 1South CentralOrganisationnumber <strong>of</strong>servicesBerkshire Healthcare NHS Foundation Trust 15Hampshire Partnership NHS Foundation Trust 3Milton Keynes PCT 1NHS Ox<strong>for</strong>dshire 1Ox<strong>for</strong>dshire <strong>and</strong> Buckinghamshire Mental Health NHSFoundation Trust 3WPF Group 1123


South East CoastOrganisationnumber <strong>of</strong>servicesKCA (UK) 7Kent <strong>and</strong> Medway NHS <strong>and</strong> Social Care Partnership Trust 6Surrey <strong>and</strong> Borders Partnership NHS Foundation Trust 1Surrey PCT 1Sussex Partnership NHS Foundation Trust 2Turning Point – Health in Mind (IAPT) 1West Sussex Health (Community Services), NHS WestSussex 1South WestOrganisationnumber <strong>of</strong>services2gether NHS Foundation Trust 2Avon <strong>and</strong> Wiltshire Mental Health Partnership NHS Trust 2Bristol PCT 3Cornwall Partnership NHS Foundation Trust 2Devon Partnership NHS Trust 9Dorset Healthcare University NHS Foundation Trust 2NHS Plymouth 1Somerset Partnership NHS Foundation Trust 1Turning Point – Right Steps Bristol 1West Midl<strong>and</strong>sOrganisationnumber <strong>of</strong>servicesBirmingham <strong>and</strong> Solihull Mental Health NHS FoundationTrust 3Coventry <strong>and</strong> Warwickshire Partnership NHS Trust 3Dudley <strong>and</strong> Walsall Mental Health Partnership NHS Trust 10Rethink (Stoke PCT) 1Sahil Project 1S<strong>and</strong>well Mental Health NHS <strong>and</strong> Social Care Trust 2South Staf<strong>for</strong>dshire <strong>and</strong> Shropshire Healthcare NHSFoundation Trust 22South Staf<strong>for</strong>dshire PCT 1Wolverhampton City PCT 1Worcestershire Mental Health Partnership NHS Trust 4124


Yorkshire <strong>and</strong> HumberOrganisationnumber <strong>of</strong>servicesBrad<strong>for</strong>d & Airedale Teaching PCT 4Brad<strong>for</strong>d District Care Trust 1Leeds Partnerships NHS Foundation Trust 2Leeds PCT 1Mind Leeds 1NHS Barnsley 1NHS Hull PCT (City Health Care Partnership) 1North Yorkshire <strong>and</strong> York PCT 3Rotherham, Doncaster <strong>and</strong> South Humber Mental HealthNHS Foundation Trust 1Rotherham PCT 1Rotherham Women’s Counselling 1Sheffield Health <strong>and</strong> Social Care NHS Foundation Trust 1South West Yorkshire Partnership NHS Foundation Trust 1Turning Point – Right Steps Wakefield 1125


Appendix C: <strong>Audit</strong> St<strong>and</strong>ards <strong>and</strong>ReferencesS 1a: The service routinely collects data on age, gender <strong>and</strong> ethnicity <strong>for</strong> eachperson referred <strong>for</strong> psychological therapy.S1b: People starting treatment with psychological therapy are representative <strong>of</strong> thelocal population in terms <strong>of</strong> age, gender <strong>and</strong> ethnicity.S 2: A person who is referred <strong>for</strong> psychological therapy does not wait longer than 13weeks from the time at which the initial referral is received to the time <strong>of</strong> theassessment.S 3: A person who is assessed as requiring psychological therapy does not waitlonger than 18 weeks from the time at which the initial referral is received to thetime that treatment starts.S 4: The therapy provided is in line with that recommended by the NICE guideline<strong>for</strong> the patient’s condition/problem.S 5: Treatment <strong>for</strong> high intensity psychological therapy is continued until recoveryor <strong>for</strong> at least the minimum number <strong>of</strong> sessions recommended by the NICE guideline<strong>for</strong> the patient’s condition/problem.S 6: The therapist has received training to deliver the therapy provided.S 7: People receiving psychological therapy experience <strong>and</strong> report a positivetherapeutic relationship/helping alliance with their therapist which is comparable tothat reported by people receiving treatment from other therapists/services.S 8: Patients/clients report a high level <strong>of</strong> satisfaction with the treatment that theyreceive.S 9a: The service routinely collects outcome data in order to determine theeffectiveness <strong>of</strong> the interventions provided.S9b: The clinical outcomes <strong>of</strong> patients/clients receiving psychological therapy in thetherapy service are comparable to those achieved to benchmarks from clinical trials<strong>and</strong> effectiveness studies <strong>and</strong> to those achieved by other therapy services.S 10: The rate <strong>of</strong> attrition from commencing treatment to completing treatment iscomparable to that <strong>of</strong> other therapy services.To view the list <strong>of</strong> guidelines on which the St<strong>and</strong>ards are based, please see theNAPT website: www.rcpsych.ac.uk/napt126


Appendix D: NICE model <strong>of</strong> stepped care<strong>for</strong> <strong>Anxiety</strong> <strong>and</strong> Depressive disorders127


Appendix E: Additional contextualin<strong>for</strong>mationServices were asked to provide any additional contextual in<strong>for</strong>mation aboutthe service in the following <strong>for</strong>mat:‘Please provide any additional contextual in<strong>for</strong>mation about your service thatyou would like to see in the final report. For example, this could includein<strong>for</strong>mation on referral pathways, staffing, approach to diagnosis, furtherin<strong>for</strong>mation on client group seen in the service, recent servicedevelopments, etc. This will be included at the end <strong>of</strong> the section oncontextual in<strong>for</strong>mation about the service <strong>and</strong> will be an opportunity <strong>for</strong> youto highlight any additional in<strong>for</strong>mation that you would like the reader toconsider in relation to the main audit findings. There is space <strong>for</strong> up to 400words <strong>and</strong> we would suggest that you use sub-headings <strong>and</strong>/or bullet pointsin order to clearly convey the key points.’128


Appendix F: Service inclusion/exclusion<strong>for</strong> St<strong>and</strong>ard 9bThe chart below <strong>for</strong> PHQ-9 scores shows that the st<strong>and</strong>ard deviationsstabilise at the point where those services with less than 35% return rateare excluded. A similar pattern was found with other measures. There<strong>for</strong>eadoption <strong>of</strong> a 35% rate would indicate that the outcomes <strong>of</strong> those servicesabove this rate are not unduly dissimilar.Figure 1: Change in st<strong>and</strong>ard deviations as services with lowerreturn rates are excluded1412108642Service SD prescoreService SDchange scoreClinical changeRate SD0None


Figure 2: Change in st<strong>and</strong>ard deviations as services with smallernumbers <strong>of</strong> PHQ-9 returns are excluded14121086420Service SD prescoreService SDchange scoreClinicalchange RateSDExclusions‐ Numbers ReturnedAlthough when large numbers <strong>of</strong> services were included, a cut-<strong>of</strong>f <strong>of</strong>


The Royal College <strong>of</strong> Psychiatrists is a charity registered in Engl<strong>and</strong> <strong>and</strong> Wales (228636)And in Scotl<strong>and</strong> (SC038369) 2011 The Royal College <strong>of</strong> Psychiatrists

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