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Is headspace making a difference to young people’s lives?

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Appendix B<br />

an estimate of MBS expenses.<br />

• Cost-effectiveness was defined as the cost per <strong>young</strong> person with access <strong>to</strong> <strong>headspace</strong><br />

centre services under the access definition provided by the current centre allocation model.<br />

Part one of this section described the current model of centre allocation as used by the Department.<br />

This model allocates <strong>headspace</strong> centres <strong>to</strong> SA3s and SA4s across Australia. Implicit in this model is<br />

the assumption that all <strong>young</strong> people residing within each SA3 or SA4 playing host <strong>to</strong> a <strong>headspace</strong><br />

centre have access <strong>to</strong> <strong>headspace</strong> services. Based on this definition of access, at the conclusion of<br />

the 8 rounds of centre expansion which the Department have committed <strong>to</strong> by the end of 2016, some<br />

80% of Australian <strong>young</strong> people will have access <strong>to</strong> <strong>headspace</strong> centre services.<br />

In order <strong>to</strong> address the overall cost-effectiveness of expanding <strong>headspace</strong> beyond 100 centres, the<br />

Departmental model of centre allocation was used by the evaluation team <strong>to</strong> simulate expansion of<br />

the <strong>headspace</strong> centre model <strong>to</strong> its hypothetical natural conclusion. This provided an estimate of the<br />

number of centres and indicative cost of centre based coverage for all <strong>young</strong> people aged 12–25<br />

years in Australia, using the Department’s definition of youth access <strong>to</strong> centres. This modelling<br />

suggested that following the existing eight rounds with an additional two hypothetical rounds of<br />

expansion (for 10 rounds in <strong>to</strong>tal giving 32 additional centres) would result in 93% of the youth<br />

population having access <strong>to</strong> centre services. While the greatest returns are achieved with the earliest<br />

rounds of <strong>headspace</strong> centre allocation, this expansion <strong>to</strong> hypothetical round 10 is achieved at a<br />

similar level of efficiency <strong>to</strong> several observed measures for existing rounds seven and eight. From<br />

hypothetical round 11 and onwards, there are apparent declines in the return on investment.<br />

The strengths and limitations of the current model of expansion were investigated using empirical<br />

data. These analyses identified that expansion of <strong>headspace</strong>, under the stipulations of the current<br />

model, may have inefficiencies and some weaknesses regarding the assumption of access,<br />

prioritisation of regions <strong>to</strong> centre allocation and funding. The ability of centres <strong>to</strong> provide services<br />

appeared <strong>to</strong> be constrained by the inflexibility of the <strong>headspace</strong> grant allocation. This analysis<br />

suggests consideration should be given <strong>to</strong> matching grant funding <strong>to</strong> relevant fac<strong>to</strong>rs such as youth<br />

demand, population size of catchment regions, rural locations and service profiles of individual<br />

centres. While the consortia model may address some of the observed centre level variation in<br />

funding requirements, the impact of additional funding via these sources was unavailable <strong>to</strong> the<br />

evaluation team. Access <strong>to</strong> additional data resources such as lead agency and consortia funding<br />

for the purpose of future evaluations would substantially improve the interpretation of evaluation<br />

observations and outcomes.<br />

Based on the evaluation of the strengths and weaknesses of the current model of <strong>headspace</strong><br />

expansion, three alternative models were developed and outlined in Part Three. These models<br />

addressed specific weaknesses identified in the existing model. These alternative models of centre<br />

allocation included a data driven approach <strong>to</strong> access, demand and capacity; the use of alternative<br />

ASGS geographic boundaries; and a hub and spoke model of service delivery. In addition, while<br />

outside the scope of the evaluation, alternative methods of service delivery, which deviate from the<br />

traditional <strong>headspace</strong> centre as a means of service delivery, were discussed. An example of this is<br />

the expansion of online service delivery via e<strong>headspace</strong> which could increase cost-efficiency while<br />

reducing barriers <strong>to</strong> access for <strong>young</strong> people. Rather than identifying an optimal model of expansion,<br />

which is challenging due <strong>to</strong> data availability, these alternative models of centre allocation aimed <strong>to</strong><br />

address specific, identified weaknesses in the current model. The most efficient model of allocation<br />

would likely involve using a combination of the alternatives described. These alternative models aim<br />

<strong>to</strong> inform further investigation and discussion of a more efficient and effective model of <strong>headspace</strong><br />

centre expansion which balances costs against youth access <strong>to</strong> mental health services. Additional<br />

scoping and data access would be required <strong>to</strong> provide robust estimates of the additional number of<br />

centres required and the cost of expansion under these models.<br />

In summary, this section of the evaluation described the current model of centre allocation, estimated<br />

costs, and calculated the youth population coverage for the eight rounds of centre expansion that the<br />

Department has already committed <strong>to</strong>. The evalua<strong>to</strong>rs have:<br />

• Simulated expansion of the current allocation model, and estimated cost and costeffectiveness<br />

for each additional hypothetical round <strong>to</strong> the natural conclusion of the model. This can<br />

be considered <strong>to</strong> represent National Coverage<br />

Social Policy Research Centre 2015<br />

<strong>headspace</strong> Evaluation Final Report<br />

166

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