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

Qualitative Methods (70)

Published on in Vol 9, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16827, first published .
Patient-Reported Outcome Measures of Utilizing Person-Generated Health Data in the Case of Simulated Stroke Rehabilitation: Development Method

Patient-Reported Outcome Measures of Utilizing Person-Generated Health Data in the Case of Simulated Stroke Rehabilitation: Development Method

Patient-Reported Outcome Measures of Utilizing Person-Generated Health Data in the Case of Simulated Stroke Rehabilitation: Development Method

Authors of this article:

Gerardo Luis Dimaguila1, 2 Author Orcid Image ;   Kathleen Gray2 Author Orcid Image ;   Mark Merolli2 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Dimaguila G, Gray K, Merolli M. Enabling Better Use of Person-Generated Health Data in Stroke Rehabilitation Systems: Systematic Development of Design Heuristics. Journal of Medical Internet Research 2020;22(7):e17132 View
  2. Dimaguila G, Batchelor F, Merolli M, Gray K. ‘We are very individual’: anticipated effects on stroke survivors of using their person-generated health data. BMJ Health & Care Informatics 2020;27(3):e100149 View
  3. Merolli M, Hinman R, Lawford B, Choo D, Gray K. Digital Health Interventions in Physiotherapy: Development of Client and Health Care Provider Survey Instruments. JMIR Research Protocols 2021;10(7):e25177 View
  4. Vercell A, Gasteiger N, Yorke J, Dowding D. Patient-facing cancer mobile apps that enable patient reported outcome data to be collected: A systematic review of content, functionality, quality, and ability to integrate with electronic health records. International Journal of Medical Informatics 2023;170:104931 View