How are debriefing questions used in health discrete choice experiments? An online survey

Alison M Pearce* (Corresponding Author), Brendan J Mulhern, Verity Watson, Rosalie Viney

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
3 Downloads (Pure)

Abstract

OBJECTIVES: Debriefing questions can assess if respondents understand discrete choice experiments (DCEs) and are answering in a way consistent with theories of decision making and utility maximization. Nevertheless, there is limited literature about how often debriefing questions are included or how the results are used in health economics. The aim of this study was to conduct a survey of the frequency, type, and analysis of debriefing questions in health DCEs.

METHODS: We conducted an online survey of authors of published health DCEs, asking about their use of debriefing questions, including frequency, type, and analysis. We descriptively analyzed the sample characteristics and responses. Free-text questions were analyzed with qualitative thematic analysis.

RESULTS: We received 70 responses (43% response rate), of which 50% reported using debriefing questions. They were most commonly designed to assess difficulty (91%), understanding (49%), and attribute nonattendance (31%) rather than learning effects (3%) or monotonicity (11%). On average, 37% of debriefing questions were analyzed (range, 0% to 69%), and the results were used <50% of the time, usually to exclude respondents or interpret overall results. Researcher experience or confidence with DCEs did not affect their use of debriefing questions.

CONCLUSIONS: These results suggest that although half of researchers conducting health DCEs use debriefing questions, many do not analyze, use, or report the responses. Given the additional respondent burden, there is a need for reliable and valid debriefing questions. In the meantime, the inclusion, analysis, and reporting of debriefing questions should be carefully considered before DCE implementation.

Original languageEnglish
Pages (from-to)289-293
Number of pages5
JournalValue in Health
Volume23
Issue number3
Early online date27 Nov 2019
DOIs
Publication statusPublished - 1 Mar 2020

Bibliographical note

We thank the respondents who completed our survey. This work was funded by a University of Technology Sydney Faculty of Business Research Grant 2017. Alison M. Pearce was supported by a University of Technology Sydney Chancellor’s Postdoctoral Research Fellowship.

Keywords

  • debriefing questions
  • discrete choice experiment
  • patient preferences
  • survey methodology
  • theories of decision making
  • understanding
  • DESIGN
  • IMPACT

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