Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54524, first published .
Use of mHealth Technology for Improving Exercise Adherence in Patients With Heart Failure: Systematic Review

Use of mHealth Technology for Improving Exercise Adherence in Patients With Heart Failure: Systematic Review

Use of mHealth Technology for Improving Exercise Adherence in Patients With Heart Failure: Systematic Review

Journals

  1. Chen Z, Lee J. The Influence of UI Design Attributes and Users’ Uncertainty Avoidance on Stickiness of the Young Elderly Toward mHealth Applications. Behavioral Sciences 2025;15(5):581 View
  2. Avermann F, Zalpour C, Marshall R, Griefahn A. Investigating the Impact of Pain Duration and Socio‐Demographic Factors on Pain Areas in Neck Pain Patients Using a m‐Health Application. Pain Practice 2025;25(7) View
  3. Lee S, Joo Y, Jang Y. eHealth Self-Management Interventions for Patients With Liver Cirrhosis: Scoping Review. Journal of Medical Internet Research 2025;27:e68650 View
  4. Velásquez Gómez G, Posada Borrero A, Velásquez Correa J. Los Factores relacionados con la adherencia al ejercicio durante la Fase III de un programa de rehabilitación cardiaca implementado en pacientes con falla cardiaca. Revista Colombiana de Medicina Física y Rehabilitación 2025;35(2):e509 View

Conference Proceedings

  1. Sanapala S, Kumar B, Varma A, Ajay D, Prasad B. 2025 8th International Conference on Circuit, Power & Computing Technologies (ICCPCT). FitTrack: A Personalized Fitness Tracking Website Using Generative AI View