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Pay for Quality

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KCE Reports 118 <strong>Pay</strong> <strong>for</strong> <strong>Quality</strong> 157<br />

More specifically, our conclusions can be framed according to the conceptual model<br />

that was presented in Chapter 3. This model was developed to represent all relevant<br />

aspects of <strong>Pay</strong> <strong>for</strong> <strong>Quality</strong> and its application in practice. Central in the model is the<br />

relationship between the desired quality increase (or maintenance if already a high<br />

level was achieved) and the incentive that is to be paid. The nature of the incentive<br />

and the way that quality is defined and measured can be quite different between<br />

programmes. As important is the relationship between the payer (who will execute the<br />

incentive) and the health care provider (who is the target <strong>for</strong> the incentive and who is<br />

supposed to increase or maintain quality of care). Here again, the characteristics of<br />

these stakeholders and their relationship will affect the success of a P4Q programme.<br />

The model moreover emphasized the need to account <strong>for</strong> characteristics of the<br />

patients, as well as the overall health system (i.e. social security or NHS, type of<br />

prevailing physician payment system, etc…).<br />

The implementation of the programme must follow a “Plan Do Check Act” (PDCA)<br />

logic, in which room and ef<strong>for</strong>ts are <strong>for</strong>eseen to regularly seek input from all<br />

stakeholders involved and undertake a continuous evaluation of the programme’s<br />

effects.<br />

The reader should note that conclusions based on evidence from P4Q studies should be<br />

regarded with caution because the effect of a P4Q programme can depend from so<br />

many factors (incentive size, choice of indicators, involvement of practitioners …) that<br />

it is difficult to assign success or failure to one specific aspect of a programme. Modern<br />

healthcare organisation should be considered a complex network. Actual complexity<br />

research shows that single focused interventions never show simple linear effects.<br />

9.1 QUALITY<br />

9.1.1 Defining quality<br />

In this study, we have defined quality in all its aspects: patient safety, clinical<br />

effectiveness, patient centeredness, timeliness, equity and access of care, efficiency and<br />

finally continuity and integration. However, only two quality domains are mainly focused<br />

upon in P4Q evaluation studies: clinical effectiveness and – to a lesser extent - equity of<br />

care. The latter is moreover poorly defined in most studies.<br />

Only a few studies focussed on continuity and integration, with positive effects. Also<br />

Belgian stakeholders stated that quality is a transmural concept with strong emphasis on<br />

integration.<br />

A disease related focus differs from a more generic focus. Most reported initiatives<br />

focus on specific diseases or defined medical problem areas, like diabetes or breast<br />

cancer screening. Some are more global and support a more generic involvement in<br />

quality issues, like the EPA-initiative in primary care and the <strong>Quality</strong> and Safety<br />

framework <strong>for</strong> hospitals.<br />

Indicators <strong>for</strong> quality can relate to structure (e.g. availability of sufficient staff), process<br />

(e.g. timely measurement of blood parameters) and outcome (the actual patient’s health<br />

results).<br />

Current P4Q studies make mostly use of process and intermediate outcome indicators.<br />

Structural indicators are used to a lesser extent. Long term outcome indicators are<br />

used very rarely. Most evidence comes from primary care (with recently an increase in<br />

hospital based studies) and most studies are observational in nature (with a limited<br />

number of comparative interventional studies).

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