Evidence map›Paper›PMID 38576122›Full record

ArticleInternational journal of technology assessment in health care2024

Design of a multiple criteria decision analysis framework for prioritizing high-impact health technologies in a regional health service.

Fernando-Ignacio Sánchez-Martínez, José-María Abellán-Perpiñán, Jorge-Eduardo Martínez-Pérez, Jorge-Luis Gómez-Torres

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Fernando-Ignacio Sánchez-MartínezApplied Economics Department, University of Murcia, Murcia, Spain.ORCID https://orcid.org/0000-0002-2288-4391
José-María Abellán-PerpiñánApplied Economics Department, University of Murcia, Murcia, Spain.ORCID https://orcid.org/0000-0001-5656-4567
Jorge-Eduardo Martínez-PérezApplied Economics Department, University of Murcia, Murcia, Spain.ORCID https://orcid.org/0000-0002-0866-6814
Jorge-Luis Gómez-TorresInternational Doctorate School, PhD programme in Economics, DEcIDE, University of Murcia, Murcia, Spain.ORCID https://orcid.org/0000-0001-9119-3896

Funding

Agencia Estatal de Investigación PID2019-104907GB-I00
6 · The paper itself

Abstract

objectivesThis 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.

methodBased 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).

resultsThe 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.

conclusionsA 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.

Indexed as

Decision Support TechniquesTechnology Assessment, BiomedicalAdultDecision MakingFemaleFocus GroupsHealth PrioritiesHumansMaleMiddle AgedSpainhealthcare technologiesmultiple-criteria decision analysisprioritizationresource allocation

Identifiers

PMID38576122
PMCPMC11569904

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.