Aversion to health inequalities in healthcare prioritisation: A multicriteria optimisation perspective
Alec Morton
Journal of Health Economics, 2014, vol. 36, issue C, 164-173
Abstract:
In this paper we discuss the prioritisation of healthcare projects where there is a concern about health inequalities, but the decision maker is reluctant to make explicit quantitative value judgements and the data systems only allow the measurement of health at an aggregate level. Our analysis begins with a standard welfare economic model of healthcare resource allocation. We show how – under the assumption that the healthcare projects under consideration have a small impact on individual health – the problem can be reformulated as one of finding a particular subset of the class of efficient solutions to an implied multicriteria optimisation problem. Algorithms for finding such solutions are readily available, and we demonstrate our approach through a worked example of treatment for clinical depression.
Keywords: Health inequalities; Mathematical programming; Multicriteria decision analysis (MCDA); Healthcare prioritisation; Healthcare resource allocation (search for similar items in EconPapers)
JEL-codes: I10 I14 I18 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167629614000484
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jhecon:v:36:y:2014:i:c:p:164-173
DOI: 10.1016/j.jhealeco.2014.04.005
Access Statistics for this article
Journal of Health Economics is currently edited by J. P. Newhouse, A. J. Culyer, R. Frank, K. Claxton and T. McGuire
More articles in Journal of Health Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().