Multi-criteria decision analysis (MCDA) in health care: A bibliometric analysis

Diaby, Vakaramoko; Campbell, Kaitryn; Goeree, Ron

doi:10.1016/j.orhc.2013.03.001

Cited by 149 publications

(108 citation statements)

References 12 publications

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“…Innovative approaches for the assessment and management of MTs use a combination of HTA and operations research methods, specifically multiple-criteria decision analysis (MCDA) (Diaby, Campbell, & Goeree, 2013;Endrei, Molics, & Agoston, 2014; Padilla-Garrido, Aguado-Correa, Cortijo-Gallego, & López-Camacho, 2014;Reddy, Kelly, Thokala, Walters, & Duenas, 2014).…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty

Ivlev

Vacek

Kneppo

2015

European Journal of Operational Research

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Section: Introductionmentioning

confidence: 99%

Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty

Ivlev

Vacek

Kneppo

2015

European Journal of Operational Research

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“…Multi-criteria decision analysis (MCDA) has been increasingly applied in healthcare [1]. One of the commonly applied MCDA techniques in healthcare is the analytic hierarchy process (AHP) [2].…”

Section: Introductionmentioning

confidence: 99%

Group Decision Making with the Analytic Hierarchy Process in Benefit-Risk Assessment: A Tutorial

Hummel

Bridges

IJzerman

2014

Patient

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The analytic hierarchy process (AHP) has been increasingly applied as a technique for multi-criteria decision analysis in healthcare. The AHP can aid decision makers in selecting the most valuable technology for patients, while taking into account multiple, and even conflicting, decision criteria. This tutorial illustrates the procedural steps of the AHP in supporting group decision making about new healthcare technology, including (1) identifying the decision goal, decision criteria, and alternative healthcare technologies to compare, (2) structuring the decision criteria, (3) judging the value of the alternative technologies on each decision criterion, (4) judging the importance of the decision criteria, (5) calculating group judgments, (6) analyzing the inconsistency in judgments, (7) calculating the overall value of the technologies, and (8) conducting sensitivity analyses. The AHP is illustrated via a hypothetical example, adapted from an empirical AHP analysis on the benefits and risks of tissue regeneration to repair small cartilage lesions in the knee. Key Points for Decision MakersIn a step-by-step approach, it is illustrated how the analytic hierarchy process (AHP) can support groups making healthcare decisions.The AHP facilitates the decision makers in discussing and valuing the multiple outcomes of alternative healthcare technologies.The AHP can prioritize the healthcare technology to help decision makers in selecting the most valuable technology for patients.

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“…This practical research is the result of a request from one of the Brazilian university hospitals. This paper details the process of model construction for the assessment of a University Hospital's (UH) performance, using MCDA as the intervention instrument [40,41,42].…”

Section: Performance Assessment Model For Hospital Management Purposesmentioning

confidence: 99%

Assessment of a Brazilian public hospital’s performance for management purposes: A soft operations research case in action

Longaray

Ensslin

et al. 2015

Operations Research for Health Care

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Multi-criteria decision analysis (MCDA) in health care: A bibliometric analysis

Cited by 149 publications

References 12 publications

Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty

Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty

Group Decision Making with the Analytic Hierarchy Process in Benefit-Risk Assessment: A Tutorial

Assessment of a Brazilian public hospital’s performance for management purposes: A soft operations research case in action

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