Abstract

BackgroundIdentifying patient priorities and preference measurements have gained importance as patients claim a more active role in health care decision making. Due to the variety of existing methods, it is challenging to define an appropriate method for each decision problem. This study demonstrates the impact of the non-standardized Analytic Hierarchy Process (AHP) method on priorities, and compares it with Best-Worst-Scaling (BWS) and ranking card methods.MethodsWe investigated AHP results for different Consistency Ratio (CR) thresholds, aggregation methods, and sensitivity analyses. We also compared criteria rankings of AHP with BWS and ranking cards results by Kendall’s tau b.ResultsThe sample for our decision analysis consisted of 39 patients with rare diseases and mean age of 53.82 years. The mean weights of the two groups of CR ≤ 0.1 and CR ≤ 0.2 did not differ significantly. For the aggregation by individual priority (AIP) method, the CR was higher than for aggregation by individual judgment (AIJ). In contrast, the weights of AIJ were similar compared to AIP, but some criteria’s rankings differed. Weights aggregated by geometric mean, median, and mean showed deviating results and rank reversals. Sensitivity analyses showed instable rankings. Moderate to high correlations between the rankings resulting from AHP and BWS.LimitationsLimitations were the small sample size and the heterogeneity of the patients with different rare diseases.ConclusionIn the AHP method, the number of included patients is associated with the threshold of the CR and choice of the aggregation method, whereas both directions of influence could be demonstrated. Therefore, it is important to implement standards for the AHP method. The choice of method should depend on the trade-off between the burden for participants and possibilities for analyses.Electronic supplementary materialThe online version of this article (doi:10.1186/s13561-016-0130-6) contains supplementary material, which is available to authorized users.

Highlights

  • Identifying patient priorities and preference measurements have gained importance as patients claim a more active role in health care decision making

  • In the Analytic Hierarchy Process (AHP) method, the number of included patients is associated with the threshold of the Consistency Ratio (CR) and choice of the aggregation method, whereas both directions of influence could be demonstrated

  • The choice of method should depend on the trade-off between the burden for participants and possibilities for analyses

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Summary

Introduction

Identifying patient priorities and preference measurements have gained importance as patients claim a more active role in health care decision making. This study demonstrates the impact of the non-standardized Analytic Hierarchy Process (AHP) method on priorities, and compares it with Best-Worst-Scaling (BWS) and ranking card methods. Measurement of patient preferences and priorities has gained more relevance in health care. One reason is the increasing importance of patient participation in health care. It is relevant to assess the preferences of the (potential) patients instead of proxy reports. Another reason for the increasing importance is the integration of preferences as utility in health economics evaluations and reimbursement decisions for pharmaceuticals. Knowledge of patients’ preferences or priorities could be a chance for optimizing the health care system according to patients’ requirements

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