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Communicating the Imperfect Diagnostic Accuracy of COVID-19 Rapid Antigen Self-Tests: An Online Randomized Experiment

Author

Listed:
  • Huijun Li

    (Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia)

  • Megha Kalra

    (Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia)

  • Lin Zhu

    (Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia)

  • Deonna M. Ackermann

    (Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia)

  • Melody Taba

    (Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia)

  • Carissa Bonner

    (Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia)

  • Katy J.L. Bell

    (Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia)

Abstract

Objective To investigate the potential impacts of optimizing coronavirus disease 2019 (COVID-19) rapid antigen test (RAT) self-testing diagnostic accuracy information. Design Online randomized experiment using hypothetical scenarios: in scenarios 1 to 3 (RAT result positive), the posttest probability was considered to be very high (likely true positives), and in scenarios 4 and 5 (RAT result negative), the posttest probability was considered to be moderately high (likely false negatives). Setting December 12 to 22, 2022, during the mixed-variant Omicron wave in Australia. Participants Australian adults. Intervention: diagnostic accuracy of a COVID-19 self-RAT presented in a health literacy-sensitive way; usual care: diagnostic accuracy information provided by the manufacturer; control: no diagnostic accuracy information. Main Outcome Measure Intention to self-isolate. Results A total of 226 participants were randomized (control n  = 75, usual care n  = 76, intervention n  = 75). More participants in the intervention group correctly interpreted the meaning of the diagnostic accuracy information ( P  = 0.08 for understanding sensitivity, P  

Suggested Citation

  • Huijun Li & Megha Kalra & Lin Zhu & Deonna M. Ackermann & Melody Taba & Carissa Bonner & Katy J.L. Bell, 2024. "Communicating the Imperfect Diagnostic Accuracy of COVID-19 Rapid Antigen Self-Tests: An Online Randomized Experiment," Medical Decision Making, , vol. 44(4), pages 437-450, May.
    • Handle: RePEc:sae:medema:v:44:y:2024:i:4:p:437-450
    DOI: 10.1177/0272989X241242131
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    References listed on IDEAS

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    1. Carissa Bonner & Lyndal J. Trevena & Wolfgang Gaissmaier & Paul K. J. Han & Yasmina Okan & Elissa Ozanne & Ellen Peters & Daniëlle Timmermans & Brian J. Zikmund-Fisher, 2021. "Current Best Practice for Presenting Probabilities in Patient Decision Aids: Fundamental Principles," Medical Decision Making, , vol. 41(7), pages 821-833, October.
    2. Kenneth F Schulz & Douglas G Altman & David Moher & for the CONSORT Group, 2010. "CONSORT 2010 Statement: Updated Guidelines for Reporting Parallel Group Randomised Trials," PLOS Medicine, Public Library of Science, vol. 7(3), pages 1-7, March.
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