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Tracey Gyateng: The NPC Data Lab, 30 June 2014
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Tracey Gyateng: The NPC Data Lab, 30 June 2014

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In this slideshow, Tracey Gyateng, Data Lab Project Manager,NPC, discusses retrospective matching methods to study health services and other sectors. …

In this slideshow, Tracey Gyateng, Data Lab Project Manager,NPC, discusses retrospective matching methods to study health services and other sectors.

Tracey Gyateng spoke at the Nuffield Trust event: The future of the hospital, in June 2014.

Published in: Health & Medicine
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  • 1. v USE OF RETROSPECTIVE MATCHING METHODS TO STUDY HEALTH SERVICES AND OTHER SECTORS Tracey Gyateng Twitter @tgyateng June 2014
  • 2. AGENDA 1. What is NPC’s Data Lab project? 2. Justice Data Lab 3. JDL barriers/challenges 4. Substance Misuse & Health Data Lab? 5. Other data labs
  • 3. WHAT IS THE DATA LAB PROJECT? The need: Funders increasingly require organisations to deliver a specified outcome in return for payment or investment Not-for-profit organisations are exploring ways to evidence the outcomes of their work Aim: Support not-for-profits to access restricted (primarily government) data to assess the impact they have on their beneficiaries– increasing supply of useful data Encourage not-for-profits to engage with data, increasing awareness and knowledge– stimulating demand Four year programme funded by the Oak Foundation- Housing and Homeless Programme NPC – Creating a Data Lab 3
  • 4. JUSTICE DATA LAB NPC – Creating a Data Lab Not for profits with user consent Not for profits without consent Ministry of Justice Data Lab teamKey demographic details: Name, Sex, Date of Birth, Intervention Start & End Date…. (sent via cjsm) Clear process and guidance tailored for NFPs Identify cohort within Police National Computer (PNC): Yes/no reoffended Frequency of reoffending Create comparison group (PSM) from PNC: Yes/no reoffended Frequency of reoffending Test whether differences between cohort and comparison group are significant Report published on MoJ website https://www.gov.uk/governme nt/collections/justice-data-lab- pilot-statistics Analysis report produced
  • 5. • Short term, full-time employment contracts. Aims to move them into onward full-time employment elsewhere. •72 offender records for which re-offending data was available could be matched to offenders with similar characteristics • A reduction in re-offending between 1 and 23 percentage points. This reduction is statistically significant SPECIFIC REPORT – BLUE SKY 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% Blue Sky (72 records) Matched Control Group (212,131 offender records)
  • 6. RESULTS OF THE JUSTICE DATA LAB MOJ JUNE 2014 SUMMARY STATISTICS 61 published reports Mixture of organisations- 51% VCS, 31% Public sector, 15% Private sector 3% Educational institute NPC – Creating a Data Lab 6 6 12 20 3 7 8 3 0 5 10 15 20 25 30 35 Educational Institution Private Public Voluntary and Community Sector No.PublishedRequests Inconclusive Result Significant Decrease in Re-Offending Significant Increase in Re-Offending
  • 7. JUSTICE DATA LAB CHALLENGES Awareness- good coverage through partnership with Clinks & NOMS improving evidence study, but work still needed Technical: Data collection & storage: full name, D.O.B, intervention & sentence start/end date Sample size and matching- minimum of 60 users, reductions in sample size Applicability & Attribution e.g. sex offenders excluded, difficulties to create accurate comparison group for housing, SUBSTANCE MISUSERS Attitudinal Measurement- binary and frequency provided, but not severity. Wider discourse of desistance from crime and how useful are reconviction measures. Transparency Timeliness- JDL provides retrospective results Resource: Lack of time/staff Legal: A few charities concerned to use JDL without service user consent. Funders: Concern on how they will act on the results NPC – Creating a Data Lab 7
  • 8. SUBSTANCE MISUSE DATA LAB? A substance misuse data lab would provide data on key outcomes for a group of clients who have accessed treatment. The service would also produce a matched control group to enable comparisons for impact measurement. Work will be needed to develop the relevant indicators that will be used for matching: • Free from drug/alcohol dependence and/or sustained maintenance medication? • Potentially: • Client reoffending— focussed on severity and frequency of events. Once the Data Lab has been established, further work will be needed to investigate the potential for measuring the following outcomes: • Future? • Health services—alcohol and drug related admissions and visits; Employment; Accommodation— Tenancy sustainment (currently difficult to measure but could be captured under Universal Credit) NPC – Creating a Data Lab 8
  • 9. HEALTH DATA LAB? Again addressing the question of what works? Has an intervention reduced beneficiaries’ subsequent use of NHS services? Range of indicators can be measured: • Admissions, readmissions, lengths of stay, A&E attendance… Scope is wide! HSCIC exploring setting up a service NPC – Creating a Data Lab 9
  • 10. ADDITIONAL PROJECTS Working to develop Data Labs for: • Economic activity • Gain employment? • Education • Improve educational outcomes Stimulating demand Regular events/ presentations/blogs Re-framing failure NPC – Creating a Data Lab 10
  • 11. NEXT STEPS • Interested to know your thoughts • Process of meetings with government departments • Survey to estimate need/ gain a consensus??? NPC – Creating a Data Lab 11
  • 12. THANK YOU Tracey Gyateng- Data Lab Project Manager Tracey.Gyateng@thinknpc.org Website http://www.NPCdatalabs.org NPC – Creating a Data Lab 12

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