McKenna, C. orcid.org/0000-0002-7759-4084, Chalabi, Z., Epstein, D. et al. (1 more author) (2008) Budgetary policies and available actions: a generalisation of decision rules for allocation and research decisions. Working Paper. CHE Research Paper . Centre for Health Economics, University of York , York, UK.
Abstract
The allocation problem in health care can be characterised as a mathematical programming problem but attempts to incorporate uncertainty in costs and effect have suffered from important limitations. A two stage stochastic mathematical programming formulation is developed and applied to a numerical example to explore and demonstrate the implications of this more general and comprehensive approach. The solution to the allocation problem for different budgets, budgetary policies, and available actions are then demonstrated. This analysis is used to evaluate different budgetary policies and examine the adequacy of standard decision rules in cost-effectiveness analysis. The research decision is then considered alongside the allocation problem. This more general formulation demonstrates that the value of further research depends on: i) the budgetary policy in place; ii) the realisations revealed during the budget period; iii) remedial actions that may be available; and iv) variability in parameters values.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York) The University of York > Faculty of Social Sciences (York) > Economics and Related Studies (York) The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York) > CHE Research Papers (York) |
Depositing User: | Pure (York) |
Date Deposited: | 05 Dec 2018 13:20 |
Last Modified: | 21 Feb 2025 00:02 |
Status: | Published |
Publisher: | Centre for Health Economics, University of York |
Series Name: | CHE Research Paper |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:139596 |