05.12.2016 Views

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

Evaluation-of-headspace-program

Evaluation-of-headspace-program

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Appendix B<br />

Table B8 Young people aged 12-17 at risk of a mental health disorder by distance <strong>to</strong> nearest<br />

<strong>headspace</strong> centre, and state<br />

Distance <strong>to</strong> nearest <strong>headspace</strong> centre (Rounds 1-8)<br />

Less than 10<br />

kilometres<br />

10 - 30 kilometres 30 kilometres or<br />

more<br />

New South Wales Number 103,347 33,418 32,546 169,311<br />

Per cent 61 19.7 19.2 100<br />

Vic<strong>to</strong>ria Number 78,895 22,747 16,008 117,650<br />

Per cent 67.1 19.3 13.6 100<br />

Queensland Number 64,151 39,146 31,414 134,711<br />

Per cent 47.6 29.1 23.3 100<br />

South Australia Number 23,769 9,444 10,150 43,363<br />

Total<br />

Per cent 54.8 21.8 23.4 100<br />

Western Australia Number 32,279 12,703 19,222 64,204<br />

Per cent 50.3 19.8 29.9 100<br />

Tasmania Number 5,002 3,893 6,155 15,050<br />

Per cent 33.2 25.9 40.9 100<br />

Northern Terri<strong>to</strong>ry Number 2,619 2,379 12,970 17,968<br />

Per cent 14.6 13.2 72.2 100<br />

Australian Capital Terri<strong>to</strong>ry Number 4,205 3,571 0 7,776<br />

Per cent 54.1 45.9 0 100<br />

Australia Number 314,267 127,301 128,465 570,033<br />

Per cent 55.1 22.3 22.5 100<br />

Figure B19 displays the allocation of round 9 (16 sites) and 10 (16 sites) centres based on the current<br />

model of allocation. Figure B20 displays the allocation of sites if centre allocation is prioritised based<br />

on the number of <strong>young</strong> people within each SA3 or SA4 at risk of a mental health disorder. These<br />

figures were obtained from YMM small area estimates. For the purpose of data display, hypothetical<br />

centres have been assigned <strong>to</strong> the most highly populated SA1 (Figure B19) within the SA3/ SA4 of<br />

interest, or SA1 with the highest predicted number of <strong>young</strong> people at risk of a mental health disorder<br />

(Figure B20) within the selected region (SA3/SA4). These figures indicate some <strong>difference</strong> in the<br />

allocation of centres based on these weighting algorithms. There were 32 centres allocated in the<br />

hypothetical rounds 9 and 10. The 2 models allocated centres <strong>to</strong> the same SA3 / SA4 21 times and<br />

<strong>to</strong> a different geographic region 11 times. The use of estimated demand <strong>to</strong> assign centres tends <strong>to</strong><br />

prioritise centre allocation <strong>to</strong> urban areas, with higher <strong>to</strong>tal youth populations and therefore number<br />

of <strong>young</strong> people at risk, whereas the current weighting method used by the Department results in<br />

more non-urban centres in Rounds 9 and 10. SA3 and SA4 regions selected using the current and<br />

alternative weighting system are included in Appendix G).<br />

Social Policy Research Centre 2015<br />

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

144

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!