Methods to perform systematic reviews of patient preferences: A literature survey

Tsung Yu, Nomin Enkh-Amgalan, Ganchimeg Zorigt

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Background: Systematic reviews are a commonly used research design in the medical field to synthesize study findings. At present - although several systematic reviews of patient preference studies are published - there is no clear guidance available for researchers to conduct this type of systematic review. The aim of our study was to learn the most current practice of conducting these systematic reviews by conducting a survey of the literature regarding reviews of quantitative patient preference studies. Methods: Our survey included systematic reviews of studies that used a stated quantitative preference design to elicit patient preferences. We identified eligible reviews through a search of the PubMed database. Two investigators with knowledge of the design of patient preference studies independently screened the titles and abstracts, and where needed, screened the full-text of the reviews to determine eligibility. We developed and pilot-tested a form to extract data on the methods used in each systematic review. Results: Our search and screening identified 29 eligible reviews. A large proportion of the reviews (19/29, 66%) were published in 2014 or after; among them, nine reviews were published in 2016. The median number of databases searched for preference studies was four (interquartile range = 2 to 7). We found that less than half of the reviews (13/29, 45%) clearly reported assessing risk of bias or the methodological quality of the included preference studies; not a single review was able to perform quantitative synthesis (meta-analysis) of the data on patient preferences. Conclusion: These results suggest that several methodological issues of performing systematic reviews of patient preferences are not yet fully addressed by research and that the methodology may require future development.

Original languageEnglish
Article number166
JournalBMC Medical Research Methodology
Volume17
Issue number1
DOIs
Publication statusPublished - 2017 Dec 11

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Health Informatics

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