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

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