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Michael Darcy, Hazel Blunden, Awais Piracha and Neil Hall

UNINTENDED CONSEQUENCES: the impact of delivery systems on homelessness in the Nepean / Blacktown Region. Michael Darcy, Hazel Blunden, Awais Piracha and Neil Hall. Background. Nepean Blacktown Regional Taskforce on Homelessness 10 Year Plan Project 40 Street Counts

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Michael Darcy, Hazel Blunden, Awais Piracha and Neil Hall

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  1. UNINTENDED CONSEQUENCES: the impact of delivery systems on homelessness in the Nepean / Blacktown Region Michael Darcy, Hazel Blunden, Awais Piracha and Neil Hall

  2. Background • Nepean Blacktown Regional Taskforce on Homelessness • 10 Year Plan • Project 40 • Street Counts • Four LGAs: Blacktown, Blue Mountains, Hawkesbury and Penrith + Wentworth Community Housing • Partnership with UWS

  3. Focus • Not on number of homeless people or experiences (pathways) of individuals • Agency practices, policies and experiences • possible systemic barriers which may cause or perpetuate homelessness at the local level • Local geography of homeless services and of homeless people presenting to them

  4. Initial interviews • Centrelink community engagement officers and Social Workers • Emergency accommodation providers • Police (DV and Youth Liaison officers) • Rehab & Detox • Meal services • High School Welfare Teachers and Principal • Mental Health services

  5. Initial interviews • service provision practices, • perceptions and definitions of homelessness, • vulnerabilities involving homelessness, • crisis points, • coping strategies and • gaps in services

  6. Generic findings (Stage 1) • simple lack of accommodation into which people can be moved after contacting agencies for assistance means that crisis and therapeutic intervention resources are increasingly operating as stop-gap accommodation, and that this makes these other services less accessible and effective for new clients • service ‘blockages’ all along the provision line from crisis to post-crisis services

  7. Agency issues • Lack of service co-ordination and development of service gap issues – most made worse by the supply problem • Lack of holistic service provision and long term case management • client privacy and funding issues, the silo effect of client categories and labels, territorial, definitional and funding restrictions.

  8. Agency data collections • Centrelink client homelessness vulnerability identifiers; • NSW Police homelessness vulnerability indicators; • Emergency Accommodation occupancy and turnaway data (AIHW); • Housing NSW applicant data. • Homeless Persons’ Information Centre (HPIC) data

  9. Data mining exploration(Stage 2) • overlay mapping of geographic and time-series data from different administrative sets • identify specific sub-regional areas, and population subgroups most frequently identified as at-risk and by which agencies they are identified • locate where and for which groups service gaps or other institutional barriers might exacerbate risk or perpetuate homelessness.

  10. Questions • How do different agencies contact and identify homelessness? • Which people are seen by which agencies? • How well does service provision match regional geography of homelessness? • Can service data be used to improve coordination between services?

  11. Data presentation • Not collating or linking data – but mapping • Issues: • boundaries • privacy issues • format

  12. *Note:Centrelink age data not precise enough. HNSW data age ranges incompatible.

  13. Notes – *Police data based on nearest Local Area Command geography. **Housing NSW age ranges differ slightly.

  14. Total contacts with homeless persons - all agencies Housing NSW Centrelink Note: Police data by LAC, not postcode Police SAAP

  15. Homeless persons NSW Police – all, 15-19 year olds, over 65 year olds Total 15-19 65+

  16. Males – Centrelink, Police, SAAP Centrelink Police Note: Police data by LAC, not postcode SAAP

  17. Females - Centrelink, Police, SAAP Centrelink Police Note: Police data by LAC, not postcode SAAP

  18. SAAP – Household types

  19. SAAP – household types Couples no children Couples with children Person Alone Person with children

  20. There is a dynamic local geography of homelessness that we need to understand • Service usage data is important but has serious problems • Net Phase: reinterviewing and focus gfroups with service providers and agencies

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