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Assessing the comparative feasibility, acceptability and equivalence of videoconference interviews and face-to-face interviews using the time trade-off technique

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  • Rowen, Donna
  • Mukuria, Clara
  • Bray, Nathan
  • Carlton, Jill
  • Longworth, Louise
  • Meads, David
  • O'Neill, Ciaran
  • Shah, Koonal
  • Yang, Yaling

Abstract

This study examines the comparative equivalence, feasibility and acceptability of video and in-person interviews in generating time trade-off (TTO) values. Sample participants in England were recruited using a blended approach of different methods and sampled based on age, gender, ethnicity, and index of multiple deprivation. Participants were randomly allocated to be interviewed either via video or in-person. Participants completed TTO tasks for the same block of 10 EQ-5D-5L health states using the EQ-VTv2 software. Feasibility, acceptability and equivalence was assessed across mode using: sample representativeness; participant understanding, engagement and feedback; participant preferred mode of interview; data quality; mean utility and distribution of values for each health state; and regression analyses assessing the impact of mode whilst controlling for participant characteristics. The video and in-person samples had statistically significant differences in ethnicity and income but were otherwise broadly similar. Video interviews generated marginally lower quality data across some criteria. Participant understanding and feedback was positive and similar across modes. TTO values were similar across modes; whilst mean in-person TTO values were lower for the more severe states, mode was insignificant in most regression analyses. There was no clear preference of mode across all participants, though the characteristics of participants preferring to be interviewed in-person or by video differs. Video and in-person TTO interviews were feasible, acceptable and generated good-quality data, though video interviews had lower quality data across some criteria. Whilst TTO values differed across modes for the more severe states, mode does not appear to be the cause. The study found that the characteristics of people preferring each mode differed, and this should be taken into account in future valuation studies since sample representativeness for some characteristics, and therefore potentially TTO values, could be affected by the choice of mode.

Suggested Citation

  • Rowen, Donna & Mukuria, Clara & Bray, Nathan & Carlton, Jill & Longworth, Louise & Meads, David & O'Neill, Ciaran & Shah, Koonal & Yang, Yaling, 2022. "Assessing the comparative feasibility, acceptability and equivalence of videoconference interviews and face-to-face interviews using the time trade-off technique," Social Science & Medicine, Elsevier, vol. 309(C).
  • Handle: RePEc:eee:socmed:v:309:y:2022:i:c:s0277953622005330
    DOI: 10.1016/j.socscimed.2022.115227
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    References listed on IDEAS

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    1. Donna Rowen & John Brazier & Aki Tsuchiya & Tracey Young & Rachel Ibbotson, 2012. "It’s All in the Name, or Is It? The Impact of Labeling on Health State Values," Medical Decision Making, , vol. 32(1), pages 31-40, January.
    2. Stefan A. Lipman, 2021. "Time for Tele-TTO? Lessons Learned From Digital Interviewer-Assisted Time Trade-Off Data Collection," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(5), pages 459-469, September.
    3. Donna Rowen & Brendan Mulhern & Sube Banerjee & Rhian Tait & Caroline Watchurst & Sarah C. Smith & Tracey A. Young & Martin Knapp & John E. Brazier, 2015. "Comparison of General Population, Patient, and Carer Utility Values for Dementia Health States," Medical Decision Making, , vol. 35(1), pages 68-80, January.
    4. Nancy J. Devlin & Koonal K. Shah & Yan Feng & Brendan Mulhern & Ben van Hout, 2018. "Valuing health‐related quality of life: An EQ‐5D‐5L value set for England," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 7-22, January.
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    1. Peasgood, Tessa & Bourke, Mackenzie & Devlin, Nancy & Rowen, Donna & Yang, Yaling & Dalziel, Kim, 2023. "Randomised comparison of online interviews versus face-to-face interviews to value health states," Social Science & Medicine, Elsevier, vol. 323(C).

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