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Uncertainty and value of information when allocating resources within and between healthcare programmes

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  • Chalabi, Zaid
  • Epstein, David
  • McKenna, Claire
  • Claxton, Karl

Abstract

A two-stage stochastic mathematical programming formulation has been developed to optimally allocate resources within and between healthcare programmes when there is an exogenous budget and the parameters of the healthcare models are variable and uncertain. This formulation solves the optimal resource allocation problem and calculates the expected value of acquiring additional information to resolve the uncertainties within the allocation. It is shown that the proposed formulation has several advantages over the chance constrained and robust mathematical programming methods.

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  • 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.
    • Handle: RePEc:eee:ejores:v:191:y:2008:i:2:p:530-539
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    References listed on IDEAS

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    3. 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.
    4. Bayram, Armagan & Solak, Senay & Johnson, Michael, 2014. "Stochastic models for strategic resource allocation in nonprofit foreclosed housing acquisitions," European Journal of Operational Research, Elsevier, vol. 233(1), pages 246-262.
    5. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    6. Moreno, Elías & Girón, F.J. & Vázquez-Polo, F.J. & Negrín, M.A., 2012. "Optimal healthcare decisions: The importance of the covariates in cost–effectiveness analysis," European Journal of Operational Research, Elsevier, vol. 218(2), pages 512-522.
    7. Moreno, Elías & Girón, F.J. & Vázquez-Polo, F.J. & NegrI´n, M.A., 2010. "Optimal healthcare decisions: Comparing medical treatments on a cost-effectiveness basis," European Journal of Operational Research, Elsevier, vol. 204(1), pages 180-187, July.
    8. H. Koffijberg & G. A. de Wit & T. L. Feenstra, 2012. "Communicating Uncertainty in Economic Evaluations," Medical Decision Making, , vol. 32(3), pages 477-487, May.
    9. Tom L. Drake & Yoel Lubell & Shwe Sin Kyaw & Angela Devine & Myat Phone Kyaw & Nicholas P. J. Day & Frank M. Smithuis & Lisa J. White, 2017. "Geographic Resource Allocation Based on Cost Effectiveness: An Application to Malaria Policy," Applied Health Economics and Health Policy, Springer, vol. 15(3), pages 299-306, June.
    10. Zou, Guang & Faber, Michael Havbro & González, Arturo & Banisoleiman, Kian, 2021. "Computing the value of information from periodic testing in holistic decision making under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    11. Bozkir, Cem D.C. & Ozmemis, Cagri & Kurbanzade, Ali Kaan & Balcik, Burcu & Gunes, Evrim D. & Tuglular, Serhan, 2023. "Capacity planning for effective cohorting of hemodialysis patients during the coronavirus pandemic: A case study," European Journal of Operational Research, Elsevier, vol. 304(1), pages 276-291.
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