How to use multi-criteria decision analysis methods for reimbursement decision-making in healthcare: a step-by-step guide.

Vakaramoko Diaby, Ron Goeree
Author Information
  1. Vakaramoko Diaby: Programs for Assessment of Technology in Health (PATH) Research Institute, St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.

Abstract

In recent years, the quest for more comprehensiveness, structure and transparency in reimbursement decision-making in healthcare has prompted the research into alternative decision-making frameworks. In this environment, multi-criteria decision analysis (MCDA) is arising as a valuable tool to support healthcare decision-making. In this paper, we present the main MCDA decision support methods (elementary methods, value-based measurement models, goal programming models and outranking models) using a case study approach. For each family of methods, an example of how an MCDA model would operate in a real decision-making context is presented from a critical perspective, highlighting the parameters setting, the selection of the appropriate evaluation model as well as the role of sensitivity and robustness analyses. This study aims to provide a step-by-step guide on how to use MCDA methods for reimbursement decision-making in healthcare.

MeSH Term

Decision Making
Decision Support Techniques
Delivery of Health Care
Humans
Models, Theoretical
Reimbursement Mechanisms

Word Cloud

Created with Highcharts 10.0.0decision-makingmethodsMCDAreimbursementhealthcaredecisionmodelsmulti-criteriaanalysissupportstudymodelstep-by-stepguideuserecentyearsquestcomprehensivenessstructuretransparencypromptedresearchalternativeframeworksenvironmentarisingvaluabletoolpaperpresentmainelementaryvalue-basedmeasurementgoalprogrammingoutrankingusingcaseapproachfamilyexampleoperaterealcontextpresentedcriticalperspectivehighlightingparameterssettingselectionappropriateevaluationwellrolesensitivityrobustnessanalysesaimsprovidehealthcare:

Similar Articles

Cited By