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Efficiency, Equity, and Budgetary Policies

Author

Listed:
  • David M. Epstein

    (Centre for Health Economics, University of York, York, UK)

  • Zaid Chalabi

    (London School of Hygiene and Tropical Medicine, London, UK)

  • Karl Claxton

    (Centre for Health Economics, University of York, York, UK)

  • Mark Sculpher

    (Centre for Health Economics, University of York, York, UK, dme2@york.ac.uk)

Abstract

The standard decision rules of cost-effectiveness analysis either require the decision maker to set a threshold willingness to pay for additional health care or to set an overall fixed budget. In practice, neither are generally taken, but instead an arbitrary decision rule is followed that may not be consistent with the overall budget, lead to an allocation of resources that is less than optimal, and is unable to identify the program that should be displaced at the margin. Recent work has shown how mathematical programming can be used as a generalization of the standard decision rules. The authors extend the use of mathematical programming, first to incorporate more complex budgetary rules about when expenditure can be incurred, and show the opportunity loss, in terms of health benefit forgone, of each budgetary policy. Second, the authors demonstrate that indivisibility in a patient population can be regarded as essentially a concern for horizontal equity and represent this and other equity concerns as constraints in the program. Third, the authors estimate the different opportunity costs of a range of equity concerns applied to particular patient populations, and when imposed on all patient populations. They apply this framework of analysis to a realistic and policy-relevant problem. Key words: cost-effectiveness analysis; cost-benefit analysis; mathematical programming; resource allocation. (Med Decis Making 2007;27:128—137)

Suggested Citation

  • David M. Epstein & Zaid Chalabi & Karl Claxton & Mark Sculpher, 2007. "Efficiency, Equity, and Budgetary Policies," Medical Decision Making, , vol. 27(2), pages 128-137, March.
  • Handle: RePEc:sae:medema:v:27:y:2007:i:2:p:128-137
    DOI: 10.1177/0272989X06297396
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    Citations

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    Cited by:

    1. Andrew J. Mirelman & Miqdad Asaria & Bryony Dawkins & Susan Griffin & Richard Cookson & Peter Berman, 2020. "Fairer Decisions, Better Health for All: Health Equity and Cost-Effectiveness Analysis," World Scientific Book Chapters, in: Paul Revill & Marc Suhrcke & Rodrigo Moreno-Serra & Mark Sculpher (ed.), Global Health Economics Shaping Health Policy in Low- and Middle-Income Countries, chapter 4, pages 99-132, World Scientific Publishing Co. Pte. Ltd..
    2. McKenna, Claire & Chalabi, Zaid & Epstein, David & Claxton, Karl, 2010. "Budgetary policies and available actions: A generalisation of decision rules for allocation and research decisions," Journal of Health Economics, Elsevier, vol. 29(1), pages 170-181, January.
    3. Nadia Demarteau & Thomas Breuer & Baudouin Standaert, 2012. "Selecting a Mix of Prevention Strategies against Cervical Cancer for Maximum Efficiency with an Optimization Program," PharmacoEconomics, Springer, vol. 30(4), pages 337-353, April.
    4. Katherine T. Lofgren & David A. Watkins & Solomon T. Memirie & Joshua A. Salomon & Stéphane Verguet, 2021. "Balancing health and financial protection in health benefit package design," Health Economics, John Wiley & Sons, Ltd., vol. 30(12), pages 3236-3247, December.
    5. Karl Claxton & Mark Sculpher & Tony Culyer, 2007. "Mark versus Luke? Appropriate Methods for the Evaluation of Public Health Interventions," Working Papers 031cherp, Centre for Health Economics, University of York.
    6. Chalabi, Zaid & Epstein, David & McKenna, Claire & Claxton, Karl, 2008. "Uncertainty and value of information when allocating resources within and between healthcare programmes," European Journal of Operational Research, Elsevier, vol. 191(2), pages 530-539, December.
    7. Daniel Howdon & James Lomas, 2017. "Pricing implications of non-marginal budgetary impacts in health technology assessment: a conceptual model," Working Papers 148cherp, Centre for Health Economics, University of York.
    8. Karl Claxton & Simon Walker & Steven Palmer & Mark Sculpher, 2010. "Appropriate Perspectives for Health Care Decisions," Working Papers 054cherp, Centre for Health Economics, University of York.
    9. Monali Malvankar-Mehta & Bin Xie, 2012. "Optimal incentives for allocating HIV/AIDS prevention resources among multiple populations," Health Care Management Science, Springer, vol. 15(4), pages 327-338, December.
    10. Morton, Alec & Thomas, Ranjeeta & Smith, Peter C., 2016. "Decision rules for allocation of finances to health systems strengthening," Journal of Health Economics, Elsevier, vol. 49(C), pages 97-108.
    11. Nicholas Graves & Mary Courtney & Helen Edwards & Anne Chang & Anthony Parker & Kathleen Finlayson, 2009. "Cost-Effectiveness of an Intervention to Reduce Emergency Re-Admissions to Hospital among Older Patients," PLOS ONE, Public Library of Science, vol. 4(10), pages 1-9, October.
    12. Feenstra, T.L. & van Baal, P.M. & Jacobs-van der Bruggen, M.A.M. & Hoogenveen, R.T. & Kommer, G.J. & Baan, C.A., 2011. "Targeted versus universal prevention. A resource allocation model to prioritize cardiovascular prevention," Other publications TiSEM da2bcf9c-cba4-4f97-86bf-a, Tilburg University, School of Economics and Management.
    13. Morton, Alec, 2014. "Aversion to health inequalities in healthcare prioritisation: A multicriteria optimisation perspective," Journal of Health Economics, Elsevier, vol. 36(C), pages 164-173.
    14. van Baal, Pieter & Morton, Alec & Severens, Johan L., 2018. "Health care input constraints and cost effectiveness analysis decision rules," Social Science & Medicine, Elsevier, vol. 200(C), pages 59-64.

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