Arnold, Matthias orcid.org/0000-0002-9736-7233, Griffin, Susan orcid.org/0000-0003-2188-8400, Ochalek, Jessica Marie orcid.org/0000-0003-0744-1178 et al. (2 more authors) (2019) A one stop shop for cost-effectiveness evidence? Recommendations for improving Disease Control Priorities. Cost Effectiveness and Resource Allocation. ISSN 1478-7547
Abstract
Setting out a health benefits package (HBP) of interventions to be prioritised for funding is an important step towards achieving universal health coverage in low and middle income countries. The 3rd version of the Disease Control Priori-ties (DCP3) database, and other similar databases, aim to establishing a single point of reference (“one stop shop”) for cost effectiveness evidence to inform HBP design and other policy making. We reflect upon our experiences in using DCP3 for HBP design and offer suggestions for improving the future reporting of cost-effectiveness evidence. We appraise DCP3 based on generalisability, level of detail, and accessibility. We find that DCP and similar initiatives should be commended for the systematic assessment of a vast array of cost-effectiveness studies—the magnitude of such an endeavour is impressive in its own right. However, there are flaws. In future, providing disaggregated esti-mates of costs and effects, quantifying uncertainty, and systematically assessing the context in which estimates apply would make this evidence more useful for decision makers
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2019. |
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) |
Funding Information: | Funder Grant number MEDICAL RESEARCH COUNCIL (MRC) MR/P028004/1 |
Depositing User: | Pure (York) |
Date Deposited: | 21 Mar 2019 09:00 |
Last Modified: | 08 Apr 2025 23:12 |
Published Version: | https://doi.org/10.1186/s12962-019-0175-6 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1186/s12962-019-0175-6 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143962 |