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

Wearables and MHealth Reviews (308) mHealth for Treatment Adherence (464) mHealth for Wellness, Behavior Change and Prevention (3273) Hypertension Prevention and Treatment (294)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21759, first published .
The Effect of Smartphone App–Based Interventions for Patients With Hypertension: Systematic Review and Meta-Analysis

The Effect of Smartphone App–Based Interventions for Patients With Hypertension: Systematic Review and Meta-Analysis

The Effect of Smartphone App–Based Interventions for Patients With Hypertension: Systematic Review and Meta-Analysis

Authors of this article:

Hongxuan Xu1 Author Orcid Image ;   Huanyu Long1 Author Orcid Image
Article Authors Cited by (98) Tweetations (2) Metrics

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  94. Samarawickrama A, Elhindi J, Rhou Y, Melov S, Flood V, McNab J, McLean M, Cheung N, Smith B, Usherwood T, Pasupathy D. Association Between Intensity of Physical Activity in Pregnancy and Gestational Diabetes in a Multi-Ethnic Population: Results from the PROMOTE Cohort Study. Nutrients 2025;17(22):3500 View
  95. Vo V, Woode M, Carter S, Degeling C, Chen G. Unravelling Public Preferences for the Use of Artificial Intelligence Mobile Health Applications in Australia. Value in Health 2025;28(11):1696 View

Books/Policy Documents

  1. Alzahrani A, Gay V, Alturki R, Alanazi F. Artificial Intelligence and Machine Learning. View
  2. Alla J, Samaga Y, Vaswani A, Netrapalli P, Kapania S, Kumar P, Hegde N. Image Processing and Vision Engineering. View
  3. Quinn C. The Digital Practice. View