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Exploring the potential of Data Envelopment Analysis for enhancing pay-for-performance programme design in primary health care

2022Journal article Restricted access
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dc.contributor.authorKalinichenko, Olena
dc.contributor.authorAmado, Carla
dc.contributor.authorSantos, Sérgio
dc.date.accessioned2022-03-11T12:15:45Z
dc.date.available2023-07-01T00:30:14Z
dc.date.issued2022
dc.description.abstractIn recent years, implementation of pay-for-performance (P4P) programmes in health care has become a worldwide initiative. However, most P4P programmes incorporate systems of Performance Indicators (PI) without accounting for trade-offs between indicators. This article has two objectives: (1) to develop a Data Envelopment Analysis (DEA) methodology for performance assessment of primary care providers; and (2) to propose an innovative methodology for P4P contracting based on the DEA assessment results. To achieve the first objective, we modify the standard DEA model to account for the necessary relations between the weights attributed to each PI and domain of performance and to account for the effect of the relevant environmental variables. To achieve the second objective, we combine relative and absolute performance assessments in the elaboration of several bases for reward, and then we link these assessments to a system of graduated rewards. A benchmarking programme is also proposed to contribute to the dissemination of best practices. This article contributes to the literature by proposing an enhanced methodology for performance assessment of primary care providers which can form the basis for P4P rewards planning. The applicability and advantages of the proposed methodology are illustrated with data from Portugal, but it can easily be adapted to different sets of PIs or domains, making it relevant for performance assessment and for P4P reward setting in other contexts and countries.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.ejor.2021.07.037pt_PT
dc.identifier.issn0377-2217
dc.identifier.urihttp://hdl.handle.net/10400.1/17670
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationCenter for Advanced Studies in Management and Economics
dc.subjectData Envelopment Analysispt_PT
dc.subjectPerformance assessmentpt_PT
dc.subjectPrimary care providerspt_PT
dc.subjectPay-for-performancept_PT
dc.titleExploring the potential of Data Envelopment Analysis for enhancing pay-for-performance programme design in primary health carept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCenter for Advanced Studies in Management and Economics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04007%2F2020/PT
oaire.citation.endPage1100pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage1084pt_PT
oaire.citation.titleEuropean Journal of Operational Researchpt_PT
oaire.citation.volume298pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameKalinichenko
person.familyNameAmado
person.familyNamePereira dos Santos
person.givenNameOlena
person.givenNameCarla
person.givenNameSérgio
person.identifier.ciencia-id2919-AB70-B8D8
person.identifier.ciencia-idD81F-2E2A-9046
person.identifier.orcid0000-0002-3616-4408
person.identifier.orcid0000-0001-6944-5129
person.identifier.orcid0000-0001-9811-3799
person.identifier.ridA-9854-2011
person.identifier.scopus-author-id26534002400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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