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How to do (or not to do)… health resource allocations using constrained mathematical optimization

Title: How to do (or not to do)… health resource allocations using constrained mathematical optimization
Authors: Stuart, Robyn M.; Fraser-Hurt, Nicole; Shubber, Zara; Vu, Lung; Cheik, Nejma; Kerr, Cliff C.; Wilson, David P.
Source: Stuart , R M , Fraser-Hurt , N , Shubber , Z , Vu , L , Cheik , N , Kerr , C C & Wilson , D P 2023 , ' How to do (or not to do)… health resource allocations using constrained mathematical optimization ' , Health Policy and Planning , vol. 38 , no. 1 , pp. 122-128 . https://doi.org/10.1093/heapol/czac096
Publication Year: 2023
Collection: University of Copenhagen: Research / Forskning ved Københavns Universitet
Subject Terms: cost-effectiveness analysis; Resource allocation
Description: Despite the push towards evidence-based health policy, decisions about how to allocate health resources are all too often made on the basis of political forces or a continuation of the status quo. This results in wastage in health systems and loss of potential population health. However, if health systems are to serve people best, then they must operate efficiently and equitably, and appropriate valuation methods are needed to determine how to do this. With the advances in computing power over the past few decades, advanced mathematical optimization algorithms can now be run on personal computers and can be used to provide comprehensive, evidence-based recommendations for policymakers on how to prioritize health spending considering policy objectives, interactions of interventions, real-world system constraints and budget envelopes. Such methods provide an invaluable complement to traditional or extended cost-effectiveness analyses or league tables. In this paper, we describe how such methods work, how policymakers and programme managers can access them and implement their recommendations and how they have changed health spending in the world to date.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
DOI: 10.1093/heapol/czac096
Availability: https://researchprofiles.ku.dk/da/publications/64c57b70-dbd8-40ec-9e6f-c53a767bc588; https://doi.org/10.1093/heapol/czac096; https://curis.ku.dk/ws/files/332827038/How_to_do_or_not_to_do_.pdf; http://www.scopus.com/inward/record.url?scp=85145955809&partnerID=8YFLogxK
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.CD4484B6
Database: BASE