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Designing Discrete Choice Experiments Using a Patient-Oriented Approach

Author

Listed:
  • Magda Aguiar

    (University of British Columbia)

  • Mark Harrison

    (University of British Columbia
    Centre for Healthcare Evaluation and Outcome Sciences
    Arthritis Research Canada)

  • Sarah Munro

    (Centre for Healthcare Evaluation and Outcome Sciences
    University of British Columbia)

  • Tiasha Burch

    (Scleroderma Association of British Columbia)

  • K. Julia Kaal

    (University of British Columbia
    University of British Columbia)

  • Marie Hudson

    (McGill University)

  • Nick Bansback

    (Centre for Healthcare Evaluation and Outcome Sciences
    Arthritis Research Canada
    University of British Columbia)

  • Tracey-Lea Laba

    (University Technology Sydney)

Abstract

Patient-oriented research is a process whereby patients or caregivers are included as research partners so that research focusses on topics that are priorities and lead to findings that translate into practice. Using a case study of preferences for stem cell transplant in scleroderma, we report on a patient-oriented research approach to developing a discrete choice experiment. Our patient-oriented research application followed the four guiding principles in Canada’s Strategy for Patient-Oriented Research: inclusiveness, support, mutual respect and co-build. In this case study, patient partners were involved at different levels of engagement to match individual availability, skillset and roles in the team. They advised, to different degrees, on all aspects of the study from design to analyses. Using a patient-oriented research approach led to the inclusion of attributes that would likely have been excluded (e.g. support from a multidisciplinary team), and realistic framing of patient-relevant and sometimes sensitive attributes (e.g. mortality and cost). Meeting locations and times were adjusted to accommodate all-team circumstances. Institutional constraints on the reimbursement for patient partners influenced the timing and extent of involvement. We found that adopting a patient-oriented research approach to discrete choice experiment design injected unique knowledge and expertise into the team, improved the representativeness of the sample recruited, minimised researcher biases, and ensured appropriate attribute selection and descriptions. The patient-oriented research approach highlighted some constraints of discrete choice experiment designs and, while not a solution, might ensure the methodological trade-offs remain patient relevant. Institutional challenges must be addressed to progress patient-oriented health economics research.

Suggested Citation

  • Magda Aguiar & Mark Harrison & Sarah Munro & Tiasha Burch & K. Julia Kaal & Marie Hudson & Nick Bansback & Tracey-Lea Laba, 2021. "Designing Discrete Choice Experiments Using a Patient-Oriented Approach," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(4), pages 389-397, July.
  • Handle: RePEc:spr:patien:v:14:y:2021:i:4:d:10.1007_s40271-020-00431-w
    DOI: 10.1007/s40271-020-00431-w
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    References listed on IDEAS

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    1. Ilene L. Hollin & Benjamin M. Craig & Joanna Coast & Kathleen Beusterien & Caroline Vass & Rachael DiSantostefano & Holly Peay, 2020. "Reporting Formative Qualitative Research to Support the Development of Quantitative Preference Study Protocols and Corresponding Survey Instruments: Guidelines for Authors and Reviewers," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 13(1), pages 121-136, February.
    2. Mark Harrison & Luke Spooner & Nick Bansback & Katherine Milbers & Cheryl Koehn & Kam Shojania & Axel Finckh & Marie Hudson, 2019. "Preventing rheumatoid arthritis: Preferences for and predicted uptake of preventive treatments among high risk individuals," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-15, April.
    3. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    4. Caroline Vass & Dan Rigby & Katherine Payne, 2017. "The Role of Qualitative Research Methods in Discrete Choice Experiments," Medical Decision Making, , vol. 37(3), pages 298-313, April.
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