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

mHealth for Treatment Adherence (397) User-centred Design Case Studies (596) Design and Formative Evaluation of Mobile Apps (694) mHealth for Wellness, Behavior Change and Prevention (2871) Cardiovascular Disease Prevention (137)

Published on in Vol 7, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10465, first published .
User Preferences and Persona Design for an mHealth Intervention to Support Adherence to Cardiovascular Disease Medication in Singapore: A Multi-Method Study

User Preferences and Persona Design for an mHealth Intervention to Support Adherence to Cardiovascular Disease Medication in Singapore: A Multi-Method Study

User Preferences and Persona Design for an mHealth Intervention to Support Adherence to Cardiovascular Disease Medication in Singapore: A Multi-Method Study

Authors of this article:

Victoria Haldane1 Author Orcid Image ;   Joel Jun Kai Koh2 Author Orcid Image ;   Aastha Srivastava2 Author Orcid Image ;   Krichelle Wei Qi Teo3 Author Orcid Image ;   Yao Guo Tan3 Author Orcid Image ;   Rui Xiang Cheng3 Author Orcid Image ;   Yi Cheng Yap3 Author Orcid Image ;   Pei-Shi Ong3 Author Orcid Image ;   Rob M Van Dam2 Author Orcid Image ;   Jie Min Foo2 Author Orcid Image ;   Falk Müller-Riemenschneider2 Author Orcid Image ;   Gerald Choon-Huat Koh2 Author Orcid Image ;   Pin Sym Foong2 Author Orcid Image ;   Pablo Perel4, 5 Author Orcid Image ;   Helena Legido-Quigley2, 4 Author Orcid Image
Article Authors Cited by (30) Tweetations (10) Metrics

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  14. Wang L, Wang Y, Sun X, Wu Y, Peng F, Chen C, Song G. Public Transit Passenger Profiling by Using Large-Scale Smart Card Data. Journal of Transportation Engineering, Part A: Systems 2023;149(4) View
  15. Cruz-Martínez R, Wentzel J, Sanderman R, van Gemert-Pijnen J. Tailoring eHealth design to support the self-care needs of patients with cardiovascular diseases: a vignette survey experiment. Behaviour & Information Technology 2022;41(14):3065 View
  16. Liu J, Lu S, Zheng H. Analysis of Differences in User Groups and Post Sentiment of COVID-19 Vaccine Hesitators in Chinese Social-Media Platforms. Healthcare 2023;11(9):1207 View
  17. Engelmann P, Eilerskov N, Thilsing T, Bernardini F, Rasmussen S, Löwe B, Herrmann-Lingen C, Gostoli S, Andréasson F, Rafanelli C, Pedersen S, Jaarsma T, Kohlmann S. Needs of multimorbid heart failure patients and their carers: a qualitative interview study and the creation of personas as a basis for a blended collaborative care intervention. Frontiers in Cardiovascular Medicine 2023;10 View
  18. Fitilev S, Vozzhaev A, Shkrebniova I, Kliuev D, Ovaeva A. Potential barriers towards optimal medication adherence in out-patients with stable coronary artery disease. Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice 2023;(2):26 View
  19. Schmidt M, Earnshaw Y, Jahnke I, Tawfik A. Entangled eclecticism: a sociotechnical-pedagogical systems theory approach to learning experience design. Educational technology research and development 2024;72(3):1483 View
  20. Ren Z, Wan K, Zhang R, Qiao P. Digital Twin Portrait: A Fusion and Application Method of Multisource Twin Data for Flexible Manufacturing Line. IEEE Journal of Emerging and Selected Topics in Industrial Electronics 2024;5(2):753 View
  21. Sia C, Simon O, Loh P, Poh K. Atherosclerotic cardiovascular disease landscape in Singapore. Frontiers in Cardiovascular Medicine 2024;11 View
  22. Miao Y, Luo Y, Zhao Y, Liu M, Wang H, Wu Y. Effectiveness of eHealth Interventions in Improving Medication Adherence Among Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e58013 View
  23. 张 世. Progress in the Application of Digital Health Technology in Disease Management of Hypertensive Patients. Nursing Science 2024;13(07):981 View
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