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Learning from the Outcomes Star Elizabeth Harper Regional Director [email protected]

Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

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Presentation given by Elizabeth Harper from St Mungos, UK at the FEANTSA/HABITACT seminar "Tackling homelessness as a social investment for the future: Looking at the bigger picture", 12th June 2013, Amsterdam

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Page 1: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Learning from the Outcomes Star

Elizabeth HarperRegional Director

[email protected]

Page 2: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Our vision is that:

• Everyone should have a decent place to live

• Something meaningful to do• Satisfying relationships with other people• The good health to enjoy them

Who are St Mungo’s

Page 3: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Our services

• 1800 residents • 850 staff• 100+ different projects including

– Street outreach – complex needs projects– Semi Independent houses– hostels– registered care homes

Page 4: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Our interest in Outcomes

Historically• Focus on inputs and outputs• Lack of service accountability• Inability to demonstrate many of the

effects of our work – clients– staff

Page 5: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Risks – of input output model

• Cherry Picking

• Undervalued and Under funded services

• Delivering outputs rather than client outcomes

Page 6: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Development

• A tailor made outcomes tool– Sector relevant– Incorporate learning

• Clients in partnership

• Objective

• Visually appealing

Page 7: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Outcomes Star

Page 8: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

What have we learnt?

• Aggregated can be useful.

• That the measurements on the Star have meaning for the ways that clients are worked with

Page 9: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Research project

• Tailored support brings best results

• Women in mixed hostels fare worst

• Positive outcomes peak at 6 – 12 months

Page 10: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Improvement actions:Addressing decline at 6 – 12 months

• Raised internally as a concern

• We have developed internal pathways for clients

• Camden and others now use this model wholesale

Page 11: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Improvement actions:Women’s services

Peer research project

• Identify issue

• Research

• Women's strategy and coordinator

• National campaign

Page 12: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Implications for client work

• Measures link to cycle of change

• Guides staff practice

• Working at clients pace

• Client centred and personalised.

Page 13: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Emerging findings

• Rough sleeping

• Relationships– men – women

Page 14: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Summary

• To learn

• To improve

• To demonstrate

Page 15: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

But beware…….

Its not using a measurement tool……its how you use it

Distance travelled is not an indicator of quality

Page 16: Soft outcomes, hard data – Using the Outcomes Star to improve, learn and evidence change

Outcomes Star Demonstrating worth

[email protected]