This paper is in the following e-collection/theme issue:

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (491) Smoking Cessation (556) Statistical Methods (23) Methodological Innovations (25) Methods in Human Factors Research (42) Tutorial (64) Research Instruments, Questionnaires, and Tools (576) Formative Evaluation of Digital Health Interventions (2410)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32365, first published .
Understanding Uptake of Digital Health Products: Methodology Tutorial for a Discrete Choice Experiment Using the Bayesian Efficient Design

Understanding Uptake of Digital Health Products: Methodology Tutorial for a Discrete Choice Experiment Using the Bayesian Efficient Design

Understanding Uptake of Digital Health Products: Methodology Tutorial for a Discrete Choice Experiment Using the Bayesian Efficient Design

Authors of this article:

Dorothy Szinay1 Author Orcid Image ;   Rory Cameron2, 3 Author Orcid Image ;   Felix Naughton1 Author Orcid Image ;   Jennifer A Whitty2, 3 Author Orcid Image ;   Jamie Brown4, 5 Author Orcid Image ;   Andy Jones2 Author Orcid Image
Article Authors Cited by (21) Tweetations (19) Metrics

Journals

  1. Houwen T, Vugts M, Lansink K, Theeuwes H, Neequaye N, Beerekamp M, Joosen M, de Jongh M. Developing mHealth to the Context and Valuation of Injured Patients and Professionals in Hospital Trauma Care: Qualitative and Quantitative Formative Evaluations. JMIR Human Factors 2022;9(2):e35342 View
  2. Benson J, Wolfson D, van den Broek-Altenburg E. Tradeoffs in Triage of Motor Vehicle Trauma by Rural 911 Emergency Medical Services Practitioners. Medical Decision Making 2023;43(3):311 View
  3. Nguyen H, Vo T, Tran H, Nguyen B, Nguyen H, Nguyen T, Anuratpanich L. The heterogeneity of public preferences for the first healthcare visit: A discrete choice experiment in the context of Vietnam. The International Journal of Health Planning and Management 2023;38(2):473 View
  4. Tan S, Wang Y, Tang Y, Jiang R, Chen M, Chen H, Yang F. Societal preferences for funding orphan drugs in China: An application of the discrete choice experiment method. Frontiers in Public Health 2022;10 View
  5. Genie M, Ryan M, Krucien N. Keeping an eye on cost: What can eye tracking tell us about attention to cost information in discrete choice experiments?. Health Economics 2023;32(5):1101 View
  6. El-Toukhy S, Pike J, Zuckerman G, Hegeman P. Decision Trade-Offs in Ecological Momentary Assessments and Digital Wearables Uptake: Protocol for a Discrete Choice Experiment. JMIR Research Protocols 2023;12:e47567 View
  7. Fischer A, Mühlbacher A. Patient and Public Acceptance of Digital Technologies in Health Care: Protocol for a Discrete Choice Experiment. JMIR Research Protocols 2023;12:e46056 View
  8. Xiao L, Min H, Wu Y, Zhang J, Ning Y, Long L, Jia K, Jing W, Sun X. Public’s preferences for health science popularization short videos in China: a discrete choice experiment. Frontiers in Public Health 2023;11 View
  9. Phillips J, Durand-Morat A, Nalley L, Graterol E, Bonatti M, Loaiza de la Pava K, Urioste S, Yang W. Understanding demand for broken rice and its potential food security implications in Colombia. Journal of Agriculture and Food Research 2024;15:100884 View
  10. Son Y, Lee Y, Jo J. Residents’ Willingness to Pay for Forest Ecosystem Services Based on Forest Ownership Classification in South Korea. Forests 2024;15(3):551 View
  11. Arije O, Madan J, Hlungwani T. Preferences in adolescents and young people’s sexual and reproductive health services in Nigeria: a discrete choice experiment. Health Economics Review 2024;14(1) View
  12. Mohammed Selim S, Senanayake S, McPhail S, Carter H, Naicker S, Kularatna S. Consumer Preferences for a Healthcare Appointment Reminder in Australia: A Discrete Choice Experiment. The Patient - Patient-Centered Outcomes Research 2024;17(5):537 View
  13. Le Stum M, Clave A, Adzinyo Agbemanyole K, Stindel E, Le Goff-Pronost M. A pilot study on preferences from surgeons to deal with an innovative customized and connected knee prosthesis – A discret choice experiment. Heliyon 2024;10(10):e30041 View
  14. Frith M, Boyd J, Savira F, Senyel D, Norman R, Jones J, Robinson S. Investigating consumer preferences and experiences of telehealth services in Australian allied health practice: a study protocol. BMJ Open 2024;14(5):e082577 View
  15. Prima Citta S, Uehara T, Cordier M, Tsuge T, Asari M. Promoting menstrual cups as a sustainable alternative: a comparative study using a labeled discrete choice experiment. Frontiers in Sustainability 2024;5 View
  16. Gisbert J, Schreiber S, Siegel C, Magro F, Jus A, Whichello C, Michaels-Igbokwe C, Heidenreich S, Oortwijn A, Vermeire S. Benefit-Risk Trade-offs and Patient Preferences for Therapy Selection in Ulcerative Colitis: a Multicountry Preference Study. Inflammatory Bowel Diseases 2024 View
  17. Belay Y, Yitayal M, Atnafu A, Taye F. Patients’ Preferences for Antiretroviral Therapy Service in Northwest Ethiopia: A Discrete Choice Experiment. MDM Policy & Practice 2024;9(2) View
  18. Dzobo M, Dzinamarira T, Strauss M, Mashamba-Thompson T. Rural women's preferences for cervical cancer screening via HPV self-sampling: a discrete choice experiment study in chidamoyo, Hurungwe District, Zimbabwe. AJOG Global Reports 2024;4(4):100414 View
  19. Soe N, Latt P, King A, Lee D, Phillips T, Fairley C, Zhang L, Ong J. What Do People Want from an AI-Assisted Screening App for Sexually Transmitted Infection-Related Anogenital Lesions: A Discrete Choice Experiment. The Patient - Patient-Centered Outcomes Research 2024 View

Books/Policy Documents

  1. Obahiagbon E, Kosoe E. . View