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

Web-based and Mobile Health Interventions (4172) mHealth for Telemedicine and Homecare (554) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (677) Human Factors and Usability Case Studies (1056) E-Health / Health Services Research and New Models of Care (780) Participatory Medicine & E-Patients (893) Clinical Communication, Electronic Consultation and Telehealth (794) Focus Groups and Qualitative Research for Human Factors Research (1290) Caregivers in Participatory Medicine (38) Supporting Home Care and Family Caregivers (274)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60353, first published .
Investigating the Best Practices for Engagement in Remote Participatory Design: Mixed Methods Analysis of 4 Remote Studies With Family Caregivers

Investigating the Best Practices for Engagement in Remote Participatory Design: Mixed Methods Analysis of 4 Remote Studies With Family Caregivers

Investigating the Best Practices for Engagement in Remote Participatory Design: Mixed Methods Analysis of 4 Remote Studies With Family Caregivers

Authors of this article:

Anna Jolliff1 Author Orcid Image ;   Richard J Holden1 Author Orcid Image ;   Rupa Valdez2, 3 Author Orcid Image ;   Ryan J Coller4 Author Orcid Image ;   Himalaya Patel1, 5 Author Orcid Image ;   Matthew Zuraw6 Author Orcid Image ;   Anna Linden7 Author Orcid Image ;   Aaron Ganci8 Author Orcid Image ;   Christian Elliott6 Author Orcid Image ;   Nicole E Werner1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

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  3. Hill J, Ganci A, Campbell N, Pickett A, Chui M, Abebe E, Holden R. Developing mHealth IT for Older Adult Medication Safety: Remote Participatory Co-Design Using the RAPID Method. JMIR Human Factors 2026;13:e82366 View
  4. Nejat P, Bachman A, Stubbs V, Duffy J, Stricker J, Herasevich V, Jones D, Utianski R, Botha H. Sociodemographic Drivers of Recruitment and Attrition in Digital Neurological Research: Longitudinal Cohort Study. Journal of Medical Internet Research 2026;28:e83432 View