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

mHealth for Wellness, Behavior Change and Prevention (2871) Hypertension Prevention and Treatment (224) Cardiology (159) Mobile Apps for Cardiology (141) Mobile Health (mhealth) (2939) Qualitative Methods (70) Use and User Demographics of mHealth (335) User Needs and Competencies (303) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (374) Usability of Apps and User Perceptions of mHealth (974)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29207, first published .
Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study

Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study

Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study

Authors of this article:

Tourkiah Alessa1, 2 Author Orcid Image ;   Mark Hawley2 Author Orcid Image ;   Luc de Witte2 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Tourkiah Alessa   1, 2 , MSc ;   Mark Hawley   2 , PhD ;   Luc de Witte   2 , PhD

1 Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia

2 Centre for Assistive Technology and Connected Healthcare, School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom

Corresponding Author:

  • Tourkiah Alessa, MSc
  • Centre for Assistive Technology and Connected Healthcare
  • School of Health and Related Research
  • University of Sheffield
  • 30 Regent St
  • Sheffield City Centre
  • Sheffield, S1 4DA
  • United Kingdom
  • Phone: 44 114 222 1726
  • Email: talessa@KSU.EDU.SA