Patient Preferences for the Treatment of Type 2 Diabetes: A Scoping Review

Background As more studies report on patient preferences, techniques are needed to identify, assess and, eventually, synthesize results from a diverse set of methodologies. Data on patient preferences are valuable to decision makers in a variety of ways. Preferences for outcomes can be used to infor...

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Veröffentlicht in:PharmacoEconomics 2013-10, Vol.31 (10), p.877-892
Hauptverfasser: Joy, Susan M., Little, Emily, Maruthur, Nisa M., Purnell, Tanjala S., Bridges, John F. P.
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Sprache:eng
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Zusammenfassung:Background As more studies report on patient preferences, techniques are needed to identify, assess and, eventually, synthesize results from a diverse set of methodologies. Data on patient preferences are valuable to decision makers in a variety of ways. Preferences for outcomes can be used to inform decision and cost-effectiveness models, while preferences for treatments can inform patient-centered outcomes research (PCOR) and patient-centered care. Objectives This project sought to identify and assess the literature reporting on the treatment preferences of adult patients with type 2 diabetes. In addition to cataloging the preference elicitation methods used, we developed and assessed a novel quality assessment checklist for preference-based studies. Data sources PubMed, EMBASE, CINAHL, and EconLit databases were searched to identify studies examining patient preferences for medications for type 2 diabetes studies published since inception of each database. Study eligibility criteria, participants, and interventions The review protocol specified inclusion of studies reporting diabetes-treatment preferences among adults with type 2 diabetes, using a range of preference measurement methods. Studies were excluded if participants were not patients with type 2 diabetes and if treatments were not pharmacological therapies targeting glycemic control, or if no primary preference information was collected. Two investigators independently reviewed titles, abstracts, and articles sequentially to select studies for data abstraction based on the inclusion and exclusion criteria. Disagreements were resolved by consensus. Study appraisal and synthesis methods Data on study country, year, number of respondents, preference elicitation method, number of attributes, subgroup analyses, and funding source were abstracted into standardized tables. A novel checklist (PREFS) was used to assess the data quality and validity across different types of preference studies by assessing the following: purpose of the study; respondent sampling; explanation of preference assessment methods; findings reported for total sample; and significance testing. Each item was scored, and an aggregate score was then calculated (ranging from 0 to 5). Results Of the 2,100 unique citations, 61 met the inclusion criteria. The studies used conjoint analysis ( n  = 10), time trade-off ( n  = 6), standard gamble ( n  = 2), contingent valuation ( n  = 1), other stated preference methods ( n  = 39), and rev
ISSN:1170-7690
1179-2027
DOI:10.1007/s40273-013-0089-7