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Preventing rheumatoid arthritis: Preferences for and predicted uptake of preventive treatments among high risk individuals

Author

Listed:
  • Mark Harrison
  • Luke Spooner
  • Nick Bansback
  • Katherine Milbers
  • Cheryl Koehn
  • Kam Shojania
  • Axel Finckh
  • Marie Hudson

Abstract

Objective: To understand preferences for and estimate the likely uptake of preventive treatments currently being evaluated in randomized controlled trials with individuals at increased risk of developing rheumatoid arthritis (RA). Methods: Focus groups were used to identify key attributes of potential preventive treatment for RA (reduction in risk of RA, how treatment is taken, chance of side effects, certainty in estimates, health care providers opinion). A web-based discrete choice experiment (DCE) was administered to people at-risk of developing RA, asking them to first choose their preferred of two hypothetical preventive RA treatments, and then between their preferred treatment and ‘no treatment for now.’ DCE data was analyzed using conditional logit regression to estimate the significance and relative importance of attributes in influencing preferences. Results: Two-hundred and eighty-eight first-degree relatives (60% female; 66% aged 18–39 years) completed all tasks in the survey. Fourteen out of fifteen attribute levels significantly influenced preferences for treatments. How treatment is taken (oral vs. infusion β0.983, p

Suggested Citation

  • 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.
  • Handle: RePEc:plo:pone00:0216075
    DOI: 10.1371/journal.pone.0216075
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    References listed on IDEAS

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    Cited by:

    1. 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.

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