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Related Experiment Videos

Evaluating complex, collaborative programmes: the Partnership Project as a case study.

J Pirkis1, H Herrman, I Schweitzer

  • 1Program Evaluation Unit, Centre for Health Program Evaluation, University of Melbourne, PO Box 477, West Heidelberg, Victoria 3081, Australia. j.pirkis@gpph.unimelb.edu.au

The Australian and New Zealand Journal of Psychiatry
|September 12, 2001
PubMed
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Evaluating collaborative mental health programs in Australia is complex. A conceptual framework and a well-defined evaluation model can effectively assess these initiatives, improving service delivery.

Area of Science:

  • Mental Health Services Research
  • Health Systems Evaluation
  • Programmatic Collaboration Analysis

Background:

  • Australia's mental health sector involves complex public and private providers with suboptimal linkages.
  • Ineffective collaboration between mental health service providers can negatively impact patient outcomes.
  • There is a need for frameworks to guide the development, implementation, and evaluation of inter-sectoral collaboration programs.

Purpose of the Study:

  • To present a conceptual framework for developing, implementing, and evaluating programs focused on improving linkages in mental health services.
  • To describe the evaluation methodology used for the Public and Private Partnerships in Mental Health Project (Partnership Project).
  • To identify key features of effective evaluations for collaborative mental health initiatives.

Related Experiment Videos

Main Methods:

  • Literature review of theoretical and practical approaches to integration and evaluation in mental health care.
  • Description of the evaluation design for the Partnership Project, a Demonstration Project in Integrated Mental Health Care.
  • Application of evaluation principles to a real-world collaborative mental health project.

Main Results:

  • Collaboration in mental health is conceptually challenging due to multiple stakeholders and complex systems.
  • Evaluating collaborative programs presents difficulties in defining metrics, measurement methods, and interpretation of findings.
  • A well-conceptualized, descriptive, comparative, and collaborative evaluation model has proven effective for the Partnership Project.

Conclusions:

  • The developed evaluation model, or its components, can be adapted for assessing other mental health programs with collaborative aspects.
  • Effective evaluation of collaborative mental health services requires a strong conceptual basis and a bottom-up, collaborative approach.
  • This study provides a practical model for evaluating complex, multi-stakeholder mental health initiatives.