Efficiency, Equity, and Budgetary Policies
- 1 March 2007
- journal article
- Published by SAGE Publications in Medical Decision Making
- Vol. 27 (2) , 128-137
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)Keywords
This publication has 23 references indexed in Scilit:
- Optimal allocation of resources over health care programmes: dealing with decreasing marginal utility and uncertaintyHealth Economics, 2005
- National Institute for Clinical Excellence and its value judgmentsBMJ, 2004
- Expected Value of Sample Information Calculations in Medical Decision ModelingMedical Decision Making, 2004
- Does NICE have a cost‐effectiveness threshold and what other factors influence its decisions? A binary choice analysisHealth Economics, 2004
- An algorithm for mixed integer optimizationMathematical Programming, 2003
- Lifted inequalities for 0-1 mixed integer programming: Basic theory and algorithmsMathematical Programming, 2003
- Cost‐effectiveness analysis and health care resource allocation: decision rules under variable returns to scaleHealth Economics, 2003
- Integer/Linear Mathematical Programming ModelsPharmacoEconomics, 2003
- Optimal Allocation of Resources across Four Interventions for Type 2 DiabetesMedical Decision Making, 2002
- Optimal Investment in a Portfolio of HIV Prevention ProgramsMedical Decision Making, 2001