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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1381) Mobile Health (mhealth) (2893) Design and Formative Evaluation of Mobile Apps (680) mHealth for Treatment Adherence (394) mHealth for Wellness, Behavior Change and Prevention (2842) Cardiac Self-Management (105) Hypertension Prevention and Treatment (218)

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

Authors of this article:

Huilong Duan1 Author Orcid Image ;   Zheyu Wang1 Author Orcid Image ;   Yumeng Ji1 Author Orcid Image ;   Li Ma2 Author Orcid Image ;   Fang Liu2 Author Orcid Image ;   Mingwei Chi2 Author Orcid Image ;   Ning Deng1 Author Orcid Image ;   Jiye An1 Author Orcid Image
Article Authors Cited by (31) Tweetations (2) Metrics

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;21(4):521 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, de 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 2022;33(2):100 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 Health Care Provider Follow-up on These Patterns: Cluster Analysis. Journal of Medical Internet Research 2021;23(9):e25630 View
  11. Cao W, Milks M, Liu X, Gregory M, Addison D, Zhang P, Li L. mHealth Interventions for Self-management of Hypertension: Framework and Systematic Review on Engagement, Interactivity, and Tailoring. JMIR mHealth and uHealth 2022;10(3):e29415 View
  12. Rabbani M, Haque M, Dipal D, Zarif M, Iqbal A, Schwichtenberg A, Bansal N, Soron T, Ahmed S, Ahamed S. A data-driven validation of mobile-based care (mCARE) project for children with ASD in LMICs. Smart Health 2022;26:100345 View
  13. Deng N, Sheng L, Jiang W, Hao Y, Wei S, Wang B, Duan H, Chen J. A home-based pulmonary rehabilitation mHealth system to enhance the exercise capacity of patients with COPD: development and evaluation. BMC Medical Informatics and Decision Making 2021;21(1) View
  14. Wu D, Huyan X, She Y, Hu J, Duan H, Deng N. Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data. JMIR mHealth and uHealth 2022;10(2):e33189 View
  15. Lee J, Lee M. Validation and usability study of the framework for a user needs-centered mHealth app selection. International Journal of Medical Informatics 2022;167:104877 View
  16. Andersson U, Nilsson P, Kjellgren K, Hoffmann M, Wennersten A, Midlöv P. PERson-centredness in Hypertension management using Information Technology: a randomized controlled trial in primary care. Journal of Hypertension 2022 View
  17. Wahyuni S, Khairunnisa K, Harahap U. Pengembangan Aplikasi Digital untuk Manajemen dan Sumber Informasi Hipertensi. JURNAL FARMASI DAN ILMU KEFARMASIAN INDONESIA 2021;7(1SI):7 View
  18. Tarricone R, Petracca F, Cucciniello M, Ciani O. Recommendations for developing a lifecycle, multidimensional assessment framework for mobile medical apps. Health Economics 2022;31(S1):73 View
  19. Al Raimi A, Chong M, Tang L, Chua Y, Al Ajeel L. Effect of Health Education via Mobile Application in Promoting Quality of Life Among Asthmatic Schoolchildren in Urban Malaysia During the COVID-19 Era. CIN: Computers, Informatics, Nursing 2022;40(9):648 View
  20. Oyebode O, Orji R. Persuasive strategy implementation choices and their effectiveness: towards personalised persuasive systems. Behaviour & Information Technology 2023;42(13):2176 View
  21. Mangal S, Baig V, Gupta K, Mangal D, Panwar R, Gupta R. e Health initiatives for screening and management of hypertension in Rural Rajasthan. Journal of Family Medicine and Primary Care 2021;10(12):4553 View
  22. Tran S, Smith L, El-Den S, Carter S. The Use of Gamification and Incentives in Mobile Health Apps to Improve Medication Adherence: Scoping Review. JMIR mHealth and uHealth 2022;10(2):e30671 View
  23. Petracca F, Tempre R, Cucciniello M, Ciani O, Pompeo E, Sannino L, Lovato V, Castaman G, Ghirardini A, Tarricone R. An Electronic Patient-Reported Outcome Mobile App for Data Collection in Type A Hemophilia: Design and Usability Study. JMIR Formative Research 2021;5(12):e25071 View
  24. Aziz M, Erbad A, Belhaouari S, Almourad M, Altuwairiqi M, Ali R. Who Uses Mhealth? User Archetypes for Physical and Mental Health Apps. DIGITAL HEALTH 2023;9 View
  25. Liu F, Song T, Yu P, Deng N, Guan Y, Yang Y, Ma Y. Efficacy of an mHealth App to Support Patients’ Self-Management of Hypertension: Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e43809 View
  26. McCallum C, Campbell M, Vines J, Rapley T, Ellis J, Deary V, Hackett K. A Smartphone App to Support Self-Management for People Living With Sjögren's Syndrome: Qualitative Co-Design Workshops. JMIR Human Factors 2024;11:e54172 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
  2. Oyebode O, Alqahtani F, Orji R. Persuasive Technology. View
  3. Kim C, Paano C, Chickanayakanahalli A, Xiao Y, Diamond S. Culture and Computing. View