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

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
  3. Qin S, Li Z, Yan Z, Zhou W. Predictive Value of circ_0020850 for Functional Outcomes After Acute Ischemic Stroke in Hospitalized Convalescent Patients. Biochemical Genetics 2025 View
  4. Xu L, Fu Q, Wang X. Preferences of Patients With Tuberculosis for AI-Assisted Remote Health Management: Discrete Choice Experiment. Journal of Medical Internet Research 2025;27:e77491 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