Title |
Group Decision Making with the Analytic Hierarchy Process in Benefit-Risk Assessment: A Tutorial
|
---|---|
Published in |
The Patient - Patient-Centered Outcomes Research, March 2014
|
DOI | 10.1007/s40271-014-0050-7 |
Pubmed ID | |
Authors |
J. Marjan Hummel, John F. P. Bridges, Maarten J. IJzerman |
Abstract |
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. |
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New Zealand | 1 | 20% |
Netherlands | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 60% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
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Netherlands | 1 | <1% |
United States | 1 | <1% |
Italy | 1 | <1% |
Unknown | 232 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 42 | 18% |
Student > Ph. D. Student | 32 | 14% |
Student > Bachelor | 31 | 13% |
Researcher | 12 | 5% |
Student > Doctoral Student | 10 | 4% |
Other | 39 | 17% |
Unknown | 69 | 29% |
Readers by discipline | Count | As % |
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Engineering | 48 | 20% |
Medicine and Dentistry | 23 | 10% |
Business, Management and Accounting | 16 | 7% |
Computer Science | 9 | 4% |
Environmental Science | 9 | 4% |
Other | 52 | 22% |
Unknown | 78 | 33% |