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 , SA

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

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
  • GB
  • Phone: 44 114 222 1726
  • Email: talessa@KSU.EDU.SA