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Priority setting in health care using multi-attribute utility theory and programme budgeting and marginal analysis (PBMA)

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  • Peacock, Stuart J.
  • Richardson, Jeff R.J.
  • Carter, Rob
  • Edwards, Diana

Abstract

Programme budgeting and marginal analysis (PBMA) is becoming an increasingly popular tool in setting health service priorities. This paper presents a novel multi-attribute utility (MAU) approach to setting health service priorities using PBMA. This approach includes identifying the attributes of the MAU function; describing and scaling attributes; quantifying trade-offs between attributes; and combining single conditional utility functions into the MAU function. We illustrate the MAU approach using a PBMA case study in mental health services from the Community Health Sector in metropolitan South Australia.

Suggested Citation

  • Peacock, Stuart J. & Richardson, Jeff R.J. & Carter, Rob & Edwards, Diana, 2007. "Priority setting in health care using multi-attribute utility theory and programme budgeting and marginal analysis (PBMA)," Social Science & Medicine, Elsevier, vol. 64(4), pages 897-910, February.
  • Handle: RePEc:eee:socmed:v:64:y:2007:i:4:p:897-910
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    References listed on IDEAS

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    Cited by:

    1. Mónica D. Oliveira & Inês Mataloto & Panos Kanavos, 2019. "Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 891-918, August.
    2. Stuart J. Peacock & Craig Mitton, 2012. "Priority Setting Methods in Health Services," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 53, Edward Elgar Publishing.
    3. Brayan V. Seixas & François Dionne & Craig Mitton, 2021. "Practices of decision making in priority setting and resource allocation: a scoping review and narrative synthesis of existing frameworks," Health Economics Review, Springer, vol. 11(1), pages 1-11, December.
    4. Michael E. Otim & Augustine D. Asante & Margaret Kelaher & Ian P. Anderson & Stephen Jan, 2016. "Acceptability of programme budgeting and marginal analysis as a tool for routine priority setting in Indigenous health," International Journal of Health Planning and Management, Wiley Blackwell, vol. 31(3), pages 277-295, July.
    5. Angelis, Aris & Kanavos, Panos, 2017. "Multiple Criteria Decision Analysis (MCDA) for evaluating new medicines in Health Technology Assessment and beyond: The Advance Value Framework," Social Science & Medicine, Elsevier, vol. 188(C), pages 137-156.
    6. Peacock, Stuart & Mitton, Craig & Bate, Angela & McCoy, Bonnie & Donaldson, Cam, 2009. "Overcoming barriers to priority setting using interdisciplinary methods," Health Policy, Elsevier, vol. 92(2-3), pages 124-132, October.
    7. Angelis, A. & Linch, M. & Montibeller, G. & Molina-Lopez, T. & Zawada, A. & Orzel, K. & Arickx, F. & Espin, J. & Kanavos, P., 2020. "Multiple Criteria Decision Analysis for HTA across four EU Member States: Piloting the Advance Value Framework," Social Science & Medicine, Elsevier, vol. 246(C).
    8. Edward C. F. Wilson & Stuart J. Peacock & Danny Ruta, 2009. "Priority setting in practice: what is the best way to compare costs and benefits?," Health Economics, John Wiley & Sons, Ltd., vol. 18(4), pages 467-478, April.

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