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dc.contributor.authorSánchez Martínez, Fernando Ignacio-
dc.contributor.authorAbellán Perpiñán, José María-
dc.contributor.authorMartínez Pérez, Jorge Eduardo-
dc.contributor.authorGómez Torres, Jorge Luis-
dc.coverage.spatialEspañaes
dc.date.accessioned2024-12-27T10:25:00Z-
dc.date.available2024-12-27T10:25:00Z-
dc.date.issued2024-04-05-
dc.identifier.citationInternational Journal of Technology Assessment in Health Care, 2024, 40(1): e21es
dc.identifier.issnPrint: 0266-4623-
dc.identifier.issnElectronic: 1471-6348-
dc.identifier.urihttp://hdl.handle.net/10201/147802-
dc.description© The Author(s), 2024. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. This document is the Accepted version of a Published Work that appeared in final form in the International Journal o Technology Assessment in Health Care. To access the final edited and published work see https://doi.org/10.1017/S0266462324000205es
dc.description.abstractObjectives: This study aims to develop a framework for establishing priorities in the regional health service of Murcia, Spain, to facilitate the creation of a comprehensive multiple criteria decision analysis (MCDA) framework. This framework will aid in decision-making processes related to the assessment, reimbursement, and utilization of high-impact health technologies. Method: Based on the results of a review of existing frameworks for MCDA of health technologies, a set of criteria was proposed to be used in the context of evaluating high-impact health technologies. Key stakeholders within regional healthcare services, including clinical leaders and management personnel, participated in a focus group (n = 11) to discuss the proposed criteria and select the final fifteen. To elicit the weights of the criteria, two surveys were administered, one to a small sample of healthcare professionals (n = 35) and another to a larger representative sample of the general population (n = 494). Results: The responses obtained from health professionals in the weighting procedure exhibited greater consistency compared to those provided by the general public. The criteria more highly weighted were “Need for intervention” and “Intervention outcomes.” The weights finally assigned to each item in the multicriteria framework were derived as the equal-weighted sum of the mean weights from the two samples. Conclusions: A multi-attribute function capable of generating a composite measure (multicriteria) to assess the value of high-impact health interventions has been developed. Furthermore, it is recommended to pilot this procedure in a specific decision context to evaluate the efficacy, feasibility, usefulness, and reliability of the proposed tool.es
dc.formatapplication/pdfes
dc.format.extent20es
dc.languageenges
dc.publisherCambridge University Presses
dc.relationThis research received funding from the Spanish State Research Agency under Grant Agreement No PID2019-104907GB-I00 (FIS, JMA, JEM, Grant PID2019-104907 GBI00 funded by MCIN/AEI/ 10.13039/501100011033), and from the Regional Health Ministry of the Autonomous Community of Murcia, Spain.es
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMultiple-Criteria Decision Analysises
dc.subjectHealthcare technologieses
dc.subjectPrioritisationes
dc.subjectResource allocationes
dc.subject.otherCDU::3 - Ciencias sociales::33 - Economíaes
dc.titleDesign of a multiple criteria decision analysis framework for prioritizing high-impact health technologies in a regional health servicees
dc.typeinfo:eu-repo/semantics/articlees
dc.relation.publisherversionhttps://www.cambridge.org/core/journals/international-journal-of-technology-assessment-in-health-care/article/design-of-a-multiple-criteria-decision-analysis-framework-for-prioritizing-highimpact-health-technologies-in-a-regional-health-service/20898E36288C30E0D05B743D8DF92FCB-
dc.identifier.doihttps://doi.org/10.1017/S0266462324000205-
dc.contributor.departmentDepartamento de Economía Aplicada-
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