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Group decision making with the analytic hierarchy process in benefit-risk assessment: a tutorial
J Marjan Hummel1, John F P Bridges, Maarten J IJzerman
1Department of Health Technology and Services Research, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands, j.m.hummel@utwente.nl.
The Patient
|March 14, 2014
Summary
The analytic hierarchy process (AHP) aids healthcare decision-making by comparing technologies based on multiple criteria. This method helps select the most valuable patient technologies, even with conflicting factors.
Area of Science:
- Healthcare Management
- Decision Science
Background:
- Multi-criteria decision analysis (MCDA) is crucial in healthcare.
- The analytic hierarchy process (AHP) is a valuable MCDA technique for complex choices.
Purpose of the Study:
- To provide a procedural tutorial on applying the AHP for group decision-making in healthcare technology selection.
- To illustrate AHP steps using a hypothetical case study on tissue regeneration.
Main Methods:
- The tutorial outlines eight procedural steps for AHP implementation.
- Steps include defining goals, criteria, alternatives, and conducting pairwise comparisons.
- Methods cover judgment aggregation, inconsistency analysis, and sensitivity analysis.
Main Results:
- The AHP provides a structured framework for evaluating healthcare technologies.
- It facilitates informed decisions by systematically considering multiple criteria.
Conclusions:
- The AHP is an effective tool for group decision-making in selecting optimal healthcare technologies.
- It supports evidence-based choices by managing complex and conflicting criteria.
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