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

Mobile Health (mhealth) (2974) mHealth for Rehabilitation (267) Stroke (165)

Published on in Vol 22, No 2 (2020): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15377, first published .
Remote Management of Poststroke Patients With a Smartphone-Based Management System Integrated in Clinical Care: Prospective, Nonrandomized, Interventional Study

Remote Management of Poststroke Patients With a Smartphone-Based Management System Integrated in Clinical Care: Prospective, Nonrandomized, Interventional Study

Remote Management of Poststroke Patients With a Smartphone-Based Management System Integrated in Clinical Care: Prospective, Nonrandomized, Interventional Study

Authors of this article:

Do Yeon Kim1, 2 Author Orcid Image ;   Hee Kwon3 Author Orcid Image ;   Ki-Woong Nam1 Author Orcid Image ;   Yongseok Lee4 Author Orcid Image ;   Hyung-Min Kwon4 Author Orcid Image ;   Young Seob Chung5 Author Orcid Image
Article Authors Cited by (22) Tweetations (10) Metrics

Journals

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  9. Gong F, Lei Z, Min H, Yu Y, Huang Z, Liu J, Wu W, Tang J, Sun X, Wu Y. Can smartphone use affect chronic disease self-management among Chinese middle-aged and older adults? A moderated mediation model. Frontiers in Psychology 2022;13 View
  10. Tadayon H, Farzandipour M, Nabovati E, Akbari H, Masoud S. Effect of mobile-based self-management application on stroke outcomes: a study protocol for triple blinded randomized controlled trial. BMC Medical Informatics and Decision Making 2022;22(1) View
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  12. van Nimwegen D, Hjelle E, Bragstad L, Kirkevold M, Sveen U, Hafsteinsdóttir T, Schoonhoven L, Visser-Meily J, de Man-van Ginkel J. Interventions for improving psychosocial well-being after stroke: A systematic review. International Journal of Nursing Studies 2023;142:104492 View
  13. He X, Zheng X, Ding H, Liu Y, Zhu H. AI-CDSS Design Guidelines and Practice Verification. International Journal of Human–Computer Interaction 2024;40(18):5469 View
  14. Kumar A, Khurana D, Pattanaik S, Kumar M, Kaur S, Krishnan N, Ghai S, Modi M, Nagi M, Chellappa R, Gairolla J, Munjal D, Kumar P. A mobile application-based post-stroke care strategy for survivors and their caregivers for prevention and management of post-stroke complications – “Stroke Home Care:” Development and feasibility. Journal of Neurosciences in Rural Practice 2023;15:217 View
  15. Gooch H, Jarvis K, Stockley R. Behavior Change Approaches in Digital Technology–Based Physical Rehabilitation Interventions Following Stroke: Scoping Review. Journal of Medical Internet Research 2024;26:e48725 View
  16. Erdoğan M, Arpak E, Keles C, Villagra F, Işık E, Afşar N, Yucesoy C, Mur L, Akanyeti O, Saybaşılı H. Biochemical, biomechanical and imaging biomarkers of ischemic stroke: Time for integrative thinking. European Journal of Neuroscience 2024;59(7):1789 View
  17. Ruksakulpiwat S, Phianhasin L, Benjasirisan C, Ding K, Ajibade A, Kumar A, Stewart C. Assessing the Efficacy of ChatGPT Versus Human Researchers in Identifying Relevant Studies on mHealth Interventions for Improving Medication Adherence in Patients With Ischemic Stroke When Conducting Systematic Reviews: Comparative Analysis. JMIR mHealth and uHealth 2024;12:e51526 View
  18. Silvera-Tawil D, Cameron J, Li J, Varnfield M, Allan L, Harris M, Lannin N, Redd C, Cadilhac D. Multicomponent Support Program for Secondary Prevention of Stroke Using Digital Health Technology: Co-Design Study With People Living With Stroke or Transient Ischemic Attack. Journal of Medical Internet Research 2024;26:e54604 View
  19. Ball J, Panerai R, Henstock T, Minhas J. Arterial blood pressure monitoring in stroke cohorts: the impact of reduced sampling rates to optimise remote patient monitoring. Blood Pressure Monitoring 2024;29(6):290 View
  20. Kim H, Han A, Lee H, Choi J, Lee H, Cho M. Impact of Mobile Health Literacy, Stroke-Related Health Knowledge, Health Beliefs, and Self-Efficacy on the Self-Care Behavior of Patients with Stroke. Healthcare 2024;12(19):1913 View
  21. Abe M, Hirata T, Morito N, Kawashima M, Yoshida S, Takami Y, Fujimoto T, Kawasoe S, Shibukawa T, Segawa H, Yamanokuchi T, Ishida S, Takahashi K, Tada K, Kato Y, Sakima A, Arima H. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis. Hypertension Research 2024 View
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