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Erschienen in:
01.08.2014 | Systematic Review
A Systematic Review to Identify the Use of Preference Elicitation Methods in Healthcare Decision Making
Erschienen in: Pharmaceutical Medicine | Ausgabe 4/2014
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Introduction
Preference elicitation methods help to increase patient-centred medical decision making (MDM) by measuring benefit and value. Preferences can be applied in decisions regarding reimbursement, including health technology assessment (HTA); market access, including benefit–risk assessment (BRA); and clinical care. These three decision contexts have different requirements for use and elicitation of preferences.
Objectives
This systematic review identified studies using preference elicitation methods and summarized methodological and practical characteristics within the requirements of the three contexts.
Methods
The search terms included those related to MDM and patient preferences. Only articles with original data from quantitative preference elicitation methods were included.
Results
The selected articles (n = 322) included 379 preference elicitation methods, comprising matching methods [MM] (n = 71, 18.7 %), discrete choice experiments [DCEs] (n = 96, 25.3 %), multi-criteria decision analysis (n = 12, 3.2 %) and other methods (n = 200, 52.8 %; i.e. rating scales, which provide estimates inconsistent with utility theory). Most publications of preference elicitation methods had an intended use in clinical decisions (n = 134, 40 %). Fewer preference studies had an intended use in HTA (n = 68, 20 %) or BRA (n = 12, 4 %). In clinical decisions, rating, ranking, visual analogue scales and direct choice are used most often. In HTA, DCEs and MM are both used frequently, and elicitation of preferences in BRA was limited to DCEs.
Conclusion
Relatively simple preference methods are often adequate in clinical decisions because they are easy to administer and have a low cognitive burden. MM and DCE fulfil the requirements of HTA and BRA but are complex for respondents. No preference elicitation methods with a low cognitive burden could adequately inform HTA and BRA decisions.