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

Development of Instruments and Surveys (92) User-centred Design Case Studies (640) E-Health / Health Services Research and New Models of Care (605) Stroke (197) Health Care Quality and Health Services Research (286) User Needs and Competencies (369) Mobile Health (mhealth) (3148)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46056, first published .
Patient and Public Acceptance of Digital Technologies in Health Care: Protocol for a Discrete Choice Experiment

Patient and Public Acceptance of Digital Technologies in Health Care: Protocol for a Discrete Choice Experiment

Patient and Public Acceptance of Digital Technologies in Health Care: Protocol for a Discrete Choice Experiment

Authors of this article:

Ann-Kathrin Fischer1 Author Orcid Image ;   Axel C Mühlbacher1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Pearce L, Howell M, Yamato T, Bacha J, Pompeu J, Howard K, Sherrington C, Hassett L. What attributes of digital devices are important to clinicians in rehabilitation? A cross-cultural best-worst scaling study. International Journal of Medical Informatics 2024;191:105589 View
  2. Wiesinger A, Lagler F. Parental perception of treatment options for mucopolysaccharidosis: a survey to bridge the gap for personalized medicine. Orphanet Journal of Rare Diseases 2025;20(1) View

Books/Policy Documents

  1. Greiner N, Lauer N. Digitale Technik für ambulante Pflege und Therapie III. View

Conference Proceedings

  1. Setyonugroho W, Utami S, Islami M, Amanu D, Kirana I, Fathiya A. 2024 Ninth International Conference on Informatics and Computing (ICIC). IoT-based System for The Stroke Survivor Feature Needs: A Qualitative Analysis View