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A Sporle , C Kiro , N Pearce, A Lee, D Jansen IAOS 2014

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  1. A Sporle, C Kiro, N Pearce, A Lee, D JansenIAOS 2014 The Maori preventable mortality project: an indigenous partnership initiative.

  2. The Context of Maori Health Development Persistent Disparities • URGENTLY Need more …. • Information that is • Accessible • MAORI focussed • Timely • LOCAL • Usable • Flexible • Rates not just counts • Future predictions Intra Ethnic Variation National Health Policies + Regional Funders Maori Service Providers – local – prevention focussed

  3. Persistent Disparities Source MoH 2010

  4. Intra-Ethnic Variation in Outcomes

  5. Indigenous Diversity by Geography • Differences in: • Colonisation history • Years of contact • Social conditions • Language • Land retention • Governance • Resources

  6. Why do this? • “to transform Maori mortality rates from being a measure of disparity to being a driver for action to improve Maori health at the local and national levels. “

  7. Needs to: • plan services • monitor outcomes • Requires information: • local • recent • high quality

  8. Why Mortality? • Key Public Health Measure: • Good quality ethnic data • Accessible by researchers • Regional data not published Preventability: 50-60% of difference in mortality due to PREVENTABLE causes Great EXEMPLAR for improving access and use

  9. The Research Team District Health Board Maori Provider Organisation Researchers Andrew Sporle – social epidemiology Alan Lee – statistician (Auckland) Neil Pearce - epidemiology (LSHTM) Cindy Kiro – social policy (Victoria) Tony Blakely - epidemiologist (OtagoUni) Antony Raymont – health services Advisory Groups Stakeholders – StatsNZ, Govt. ministries, local Maori organisations Maori Researchers

  10. Research Questions • How does preventable mortality vary by: • Time • Gender • Age group / cohort • Level of preventability • REGION Purpose: To identify the best places and ways to intervene

  11. www.stat.auckland.ac.nz/~wild/iNZight/

  12. Data Visualiser Select: Population Region Gender Age Range Standard Population Comparison Projection

  13. Improving Data Access Secure Data Archive • Public Access • Interface • Region • Gender • Age • Ref Population • Relative Risk • Confidence Ints. • Graphs and Tables Data visualiser Datasets Epi Methods Protocols Maori Providers Regional Funders

  14. Project Impact in 12 months • Results: • Regional differences in data quality • Data visualiser pilot • Too early for other results Student placements with providers: • Teaching • Community • Providers • Students • Other Projects: • Mortality by migration and age cohort • Longitudinal mortality study • Networks • Data users • Maori researchers

  15. Maori Wellbeing Research • Independent Maori Statutory Board • Maori Development Plan • Maori Values • Key Directions • Domains and Focus Areas • Maori Outcomes • Indicator wish list

  16. The Future ? • Improving responsive of official statistics leads to • Increased use • Improved perception • Improved quality • New ideas If there is data – then make it available and useable