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

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Appendix B<br />

of expansion. It is important <strong>to</strong> note here that the alternative models component represented by Part<br />

3 has been provided in addition <strong>to</strong> the evaluation requirements. Further investigation would require<br />

separate project funding <strong>to</strong> complete if pursued externally <strong>to</strong> the Department or hNO.<br />

While the current model of expansion can be costed based on detailed information regarding current<br />

<strong>headspace</strong> grant funding and estimates of MBS contributions at a centre level being available <strong>to</strong><br />

the evaluation team, costing alternative models requires additional information not provided for the<br />

evaluation. These alternative models of centre allocation propose the use of smaller sites and make<br />

use of different geographic boundaries. For example, spoke sites may be identified by a defined<br />

catchment area much smaller than the SA4/SA3 regions currently used; they are likely <strong>to</strong> have<br />

reduced service capacity, and may run on a part-time basis. There is no information on which <strong>to</strong><br />

base the costing for these smaller or part-time sites which diverge from the traditional model. We lack<br />

enough cost information for such sites <strong>to</strong> make even indicative estimates, and attempting <strong>to</strong> do so<br />

with the information made available for this evaluation would risk misleading evaluation stakeholders<br />

and undermine the confidence of the public in the integrity of other results of the evaluation.<br />

In addition, the population size required <strong>to</strong> justify either a full or smaller <strong>headspace</strong> centre is<br />

unknown. The region which contains the smallest youth population and an existing <strong>headspace</strong><br />

centre has a youth population of around 3,500 12-25 year olds. It is unknown whether this can<br />

be interpreted as a lower limit on efficient service provision, or whether smaller populations could<br />

support a centre. In addition, the upper service capacity is unknown and difficult <strong>to</strong> estimate. This<br />

is largely due <strong>to</strong> the paucity of information regarding additional, non-government funds and in-kind<br />

support provided <strong>to</strong> existing centres. These additional funds have the potential <strong>to</strong> substantially<br />

increase the capacity of a centre. Additional information regarding non-government funding input<br />

would provide insight in<strong>to</strong> centre capacity. Further, the impact of smaller region sizes on the ability<br />

of the model <strong>to</strong> leverage off existing services and partners is not able <strong>to</strong> be evaluated but has<br />

significant implications for site allocation.<br />

The impact of competing and complementary services is unknown. This variable is likely <strong>to</strong> be<br />

evaluated in the current model within the ‘human intelligence’ component. This fac<strong>to</strong>r has substantial<br />

implications for service need and, as a result, likely centre allocation. This may have greater impact<br />

when region sizes are small.<br />

Additional information required <strong>to</strong> allow for robust estimates of costs of centre expansion under the<br />

alternative models include:<br />

• defined lower and upper bound on the population size of a region <strong>to</strong> allow for efficient centre<br />

allocation. This is closely related <strong>to</strong> centre service capacity.<br />

• costing information for smaller sites (e.g. part-time centres, centres with limited services)<br />

• information regarding alternative and complementary mental health services within in-scope<br />

areas.<br />

Conclusions<br />

Summary of fac<strong>to</strong>rs for consideration in the future roll-out of <strong>headspace</strong><br />

• flexibility in the <strong>headspace</strong> funding allocation <strong>to</strong> tailor allocation <strong>to</strong> relevant fac<strong>to</strong>rs<br />

such as rurality, demand and service requirements<br />

• investigation of the use of alternatives <strong>to</strong> traditional sites. For example, hub and spoke<br />

sites, part-time or centres staffed by fly-in fly-out staff<br />

• potential use of alternative modes of service delivery such as online treatment<br />

methods<br />

• prioritisation of centre allocation based on direct measures of service need.<br />

The report provides a data driven approach <strong>to</strong> evaluation of the current model of centre expansion<br />

and the assumptions that underpin this model. It identifies weaknesses and proposes a number of<br />

alternative models of centre expansion, which alter components of the existing model with the aim<br />

Social Policy Research Centre 2015<br />

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

164

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