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

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Appendix B<br />

Table B10 Summary of strengths and weaknesses of current and proposed alternative models of centre allocation<br />

and model expansion<br />

Measure Strengths Weaknesses Notes<br />

Current model<br />

Assigns <strong>headspace</strong> centres <strong>to</strong> SA4s (metropolitan)<br />

and SA3s (non-metropolitan). Centres are<br />

prioritised by weighted youth population and<br />

a ‘human intelligence’ fac<strong>to</strong>r which considers<br />

additional parameters such as existing mental<br />

health services and availability of consortia<br />

partners in the area<br />

- Good information relating <strong>to</strong> <strong>headspace</strong> grant<br />

funding<br />

- Use of existing, stable ASGS boundaries<br />

make roll-out administratively straight forward<br />

- Areas at higher risk of mental health<br />

problems are prioritised due <strong>to</strong> use of a<br />

weighting algorithm<br />

-Definition of access unlikely <strong>to</strong> reflect<br />

realistic access for all <strong>young</strong> people in the<br />

SA4 or SA3.<br />

-Human intelligence fac<strong>to</strong>r difficult <strong>to</strong><br />

evaluate and incorporate in modelling<br />

- Difficult <strong>to</strong> determine non-<strong>headspace</strong><br />

funding contributions and their impact on<br />

service delivery and capacity<br />

Existing information allows this model<br />

<strong>to</strong> be costed <strong>to</strong> hypothetical national<br />

expansion based on well-defined<br />

<strong>headspace</strong> grant information and<br />

estimates of MBS funds. The contribution<br />

of lead agency funding and in-kind input<br />

cannot be evaluated<br />

Data driven approach <strong>to</strong> access, demand and<br />

capacity<br />

Catchment areas determined <strong>to</strong> have a maximum<br />

radius of 30 kms <strong>to</strong> reflect likely access <strong>to</strong><br />

services. Centre allocation prioritised based on<br />

population of youth at risk for a mental health<br />

disorder.<br />

- Maximises access <strong>to</strong> services for all <strong>young</strong><br />

people across Australia<br />

- Likely <strong>to</strong> better reflect true access <strong>to</strong> centre<br />

services compared <strong>to</strong> the current model<br />

- More complex weighting algorithm better<br />

reflects likely demand<br />

- Number of centres required <strong>to</strong> service<br />

all small areas defined by the model is<br />

excessive resulting in potentially prohibitive<br />

costs.<br />

- Many small areas have small population<br />

sizes. The lower limit population size for<br />

efficient service delivery is not known.<br />

- The implications for lead agency input and<br />

ability <strong>to</strong> leverage off existing services in<br />

very small geographic areas is unknown.<br />

Smaller populations are likely <strong>to</strong><br />

necessitate either smaller sites, with lower<br />

average <strong>headspace</strong> and MBS funding, or<br />

a lower limit on the region size in-scope<br />

for allocation. This information is not<br />

available <strong>to</strong> the evaluation team and<br />

therefore determining robust estimates of<br />

costs with expansion based on this model<br />

is not possible.<br />

Alternative geographic boundaries (UCL)<br />

Assigns centres <strong>to</strong> SA4s (metropolitan) and UCLs<br />

(non-metropolitan) defined by the ASGS. Those<br />

UCLs within 1 hour’s travel time of an existing<br />

centre are considered <strong>to</strong> have access and are<br />

therefore out of scope for a new centre. Allocation<br />

weighted using SEIFA and ARIA<br />

- UCLs are more likely <strong>to</strong> reflect functional<br />

communities, and therefore service catchment<br />

areas, than SA3s in non-metropolitan areas<br />

- Unlikely <strong>to</strong> reflect true access for all <strong>young</strong><br />

people, particularly those in rural and remote<br />

areas<br />

- Model would result in a large number<br />

of sites in regions with small populations.<br />

Again, a lower limit may be required based<br />

on region size.<br />

As above, allocation <strong>to</strong> UCLs includes<br />

areas with very small populations and<br />

will likely require smaller centres or limits<br />

placed on the smallest in-scope region<br />

size. Therefore, costing is not possible<br />

Hub and spoke model<br />

A formalised network in which smaller spoke sites<br />

are supported by the larger hub sites.<br />

- Likely <strong>to</strong> be associated with some cost saving<br />

if smaller spoke sites have lower funding<br />

requirements<br />

- May provide greater access <strong>to</strong> rural and<br />

remote areas whose small populations will not<br />

support a full time <strong>headspace</strong> centre<br />

- Well established model of service delivery<br />

- Very little information within the current<br />

<strong>headspace</strong> model <strong>to</strong> determine impacts on<br />

service delivery, number of sites and costs<br />

- Diverges from the current <strong>headspace</strong> model<br />

- Potential implications for quality and<br />

timeliness of service delivery in spoke sites<br />

- Unknown implications for ability <strong>to</strong> attract<br />

consortia partners<br />

The evaluation team have no information<br />

on which <strong>to</strong> base the costs of smaller<br />

spoke sites. In addition, the lack of<br />

information regarding the efficient and<br />

effective geographic distribution of hub<br />

and spoke sites mean that determining<br />

the number of centres and the cost<br />

implications of this model is not possible.<br />

Social Policy Research Centre 2015<br />

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

162

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