Published on in Vol 8, No 2 (2020): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14466, first published .
Using Goal-Directed Design to Create a Mobile Health App to Improve Patient Compliance With Hypertension Self-Management: Development and Deployment

Using Goal-Directed Design to Create a Mobile Health App to Improve Patient Compliance With Hypertension Self-Management: Development and Deployment

Using Goal-Directed Design to Create a Mobile Health App to Improve Patient Compliance With Hypertension Self-Management: Development and Deployment

Journals

  1. Wang Z, Huang H, Cui L, Chen J, An J, Duan H, Ge H, Deng N. Using Natural Language Processing Techniques to Provide Personalized Educational Materials for Chronic Disease Patients in China: Development and Assessment of a Knowledge-Based Health Recommender System. JMIR Medical Informatics 2020;8(4):e17642 View
  2. Wang Z, Li C, Huang W, Chen Y, Li Y, Huang L, Zhang M, Wu D, Wang L, Duan H, An J, Deng N. Effectiveness of a pathway-driven eHealth-based integrated care model (PEICM) for community-based hypertension management in China: study protocol for a randomized controlled trial. Trials 2021;22(1) View
  3. Aji M, Gordon C, Stratton E, Calvo R, Bartlett D, Grunstein R, Glozier N. Framework for the Design Engineering and Clinical Implementation and Evaluation of mHealth Apps for Sleep Disturbance: Systematic Review. Journal of Medical Internet Research 2021;23(2):e24607 View
  4. Deng N, Chen J, Liu Y, Wei S, Sheng L, Lu R, Wang Z, Zhu J, An J, Wang B, Lin H, Wang X, Zhou Y, Duan H, Ran P. Using Mobile Health Technology to Deliver a Community-Based Closed-Loop Management System for Chronic Obstructive Pulmonary Disease Patients in Remote Areas of China: Development and Prospective Observational Study. JMIR mHealth and uHealth 2020;8(11):e15978 View
  5. Wang Z, An J, Lin H, Zhou J, Liu F, Chen J, Duan H, Deng N. Pathway-Driven Coordinated Telehealth System for Management of Patients With Single or Multiple Chronic Diseases in China: System Development and Retrospective Study. JMIR Medical Informatics 2021;9(5):e27228 View
  6. Tarricone R, Petracca F, Ciani O, Cucciniello M. Distinguishing features in the assessment of mHealth apps. Expert Review of Pharmacoeconomics & Outcomes Research 2021:1 View
  7. Volpi S, Biduski D, Bellei E, Tefili D, McCleary L, Alves A, De Marchi A. Using a mobile health app to improve patients’ adherence to hypertension treatment: a non-randomized clinical trial. PeerJ 2021;9:e11491 View
  8. Moreira R, Ferreira J, Morais H, Felício J, Oliveira Ferreira G, Rouberte E, Rolim I, Cavalcante T. Accuracy of the clinical indicators for Readiness for enhanced health management. International Journal of Nursing Knowledge 2021 View
  9. Song T, Yu P, Bliokas V, Probst Y, Peoples G, Qian S, Houston L, Perez P, Amirghasemi M, Cui T, Hitige N, Smith N. A Clinician-Led, Experience-Based Co-Design Approach for Developing mHealth Services to Support the Patient Self-management of Chronic Conditions: Development Study and Design Case. JMIR mHealth and uHealth 2021;9(7):e20650 View
  10. Wu D, An J, Yu P, Lin H, Ma L, Duan H, Deng N. Patterns for Patient Engagement with the Hypertension Management and Effects of Electronic Healthcare Provider Follow-up on these Patterns: Cluster Analysis (Preprint). Journal of Medical Internet Research 2020 View

Books/Policy Documents

  1. Diamond S, Hussain A, Scott R, Basu R, Cao S, Laroia M, Adnani V. Human Aspects of IT for the Aged Population. Supporting Everyday Life Activities. View