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NHMRC Centre of Research Excellence in Mental Health Systems Improvement (CREMSI)

NHMRC Centre of Research Excellence in Mental Health Systems Improvement (CREMSI). Translating evidence into policy and services. Harvey Whiteford Kratzmann Professor of Psychiatry and Population Health The University of Queensland. The problem ….

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NHMRC Centre of Research Excellence in Mental Health Systems Improvement (CREMSI)

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  1. NHMRC Centre of Research Excellence in Mental Health Systems Improvement (CREMSI) Translating evidence into policy and services Harvey Whiteford Kratzmann Professor of Psychiatry and Population Health The University of Queensland

  2. The problem … • Mental disorders are a leading cause of disease burden • We do not know the best way to configure our mental health service system • For an equitable, efficient and sustainable system, we require knowledge about: • The extent and distribution of disorder epidemiology and burden • Effective and cost-effective interventions to reduce burden • How to organise these interventions in an equitable way • How to adapt policy settings to move from the current to the optimal service system

  3. Previous work in this area … ACE Mental Health • Concluded a more efficient and cost-effective system would require reallocation of funds between interventions, between disorders and between service providers, as well as different funding mechanisms Tolkien II • Concluded that reorganising the system using a stepped care model with a 30% increase in budget could treat 60% more people across 15 major disorders and produce a 90% increase in health gain

  4. however… • Evidence and policy-maker engagement is not enough • Policy-makers think more in terms of service platforms than disorder level interventions • epidemiology across the lifespan is often not considered • The intervention evidence is fragmented • cost-effectiveness alone rarely influences priority-setting • integrative interventions cannot compete with service silos

  5. Our CRE … … develop an integrated evidence base for a model service system, recognising and exploiting the realities within which policy and planning take place

  6. Our goals… • Design a model mental health service system for Australia that would optimally reduce the burden of mental disorders • Analyse how that model differs from the existing service system, and what policy levers governments can use to move to the new model • Develop a knowledge transfer strategy to translate the evidence into policy and practice

  7. Our Chief Investigators… • Harvey Whiteford University of Queensland • Louisa Degenhardt University of NSW • Jane Pirkis University of Melbourne • Cathy Mihalopoulos Deakin University • Kathy Eagar University of Wollongong • Gavin Andrews University of NSW • Brian Head University of Queensland • Jane Gunn University of Melbourne • Wayne Hall University of Queensland • George Patton University of Melbourne

  8. Components of CREMSI • Research program with 3 streams: • Stream 1: Priority setting for cost-effective mental health interventions and service platforms • Stream 2: Mental health system planning to maximise the delivery of evidence-based services • Stream 3: Translation of evidence-based service system planning into policy • Knowledge translation strategy • Capacity building strategy

  9. Our work plan Assemble burden and cost-effectiveness data for interventions by disorder

  10. Our work plan • Develop a service platform taxonomy • Translate cost-effectiveness data from the intervention level to service platform level • Describe the service system in which disorders are prevented or treated on the platform that equitably and efficiently reduces maximum burden • Developing planning targets for the optimal service model

  11. Examining the policy instruments and policy making mechanisms in the Australian context Making recommendations on evidence based policy adoption Adapted from Felix HC. The rise of the community basedparticipatory research initiative at the National Institute for Environmental Health Sciences: an historical analysis using the policy streams model. ProgCommunity Health Partnership. 2007; 1(1):31–39.

  12. Knowledge translation and capacity building to ensure: • The CRE is informed by expertise and priorities of end-users • Multimodal dissemination of findings • Monitoring the uptake of CRE outputs into policy instruments • A research intensive exchange program • Targeted integration into tertiary courses and seminar series To find out more…… www.mhsystems.org.au

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