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

Wearables and MHealth Reviews (273)

Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15779, first published .
Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Authors of this article:

Kaifeng Liu1 Author Orcid Image ;   Zhenzhen Xie1 Author Orcid Image ;   Calvin Kalun Or1 Author Orcid Image
Article Authors Cited by (76) Tweetations (2) Metrics

Journals

  1. Chen T, Or C, Chen J. Effects of technology-supported exercise programs on the knee pain, physical function, and quality of life of individuals with knee osteoarthritis and/or chronic knee pain: A systematic review and meta-analysis of randomized controlled trials. Journal of the American Medical Informatics Association 2021;28(2):414 View
  2. Cunha B, Rodrigues K, Zaine I, da Silva E, Viel C, Pimentel M. Experience Sampling and Programmed Intervention Method and System for Planning, Authoring, and Deploying Mobile Health Interventions: Design and Case Reports. Journal of Medical Internet Research 2021;23(7):e24278 View
  3. Tews D, Gouveri E, Simon J, Marck C. A Smartphone-Based Application to Assist Insulin Titration in Patients Undergoing Basal Insulin-Supported Oral Antidiabetic Treatment. Journal of Diabetes Science and Technology 2023;17(4):988 View
  4. Shin J, Jung S. Heuristic smartphone usability evaluations of the mobile application NANDA, nursing interventions classification, and nursing outcomes classification customized for nursing home registered nurses. International Journal of Nursing Knowledge 2023;34(4):307 View
  5. Hui C, McKinstry B, Mclean S, Buchner M, Pinnock H. Assessing the technical feasibility of a flexible, integrated Internet-of-things connected for asthma (C4A) system to support self-management: a mixed method study exploring patients and healthcare professionals perspectives. JAMIA Open 2022;5(4) View
  6. Liu J, Sorwar G, Rahman M, Hoque M. The role of trust and habit in the adoption of mHealth by older adults in Hong Kong: a healthcare technology service acceptance (HTSA) model. BMC Geriatrics 2023;23(1) View
  7. Ryan S, Ní Chasaide N, O' Hanrahan S, Corcoran D, Caulfield B, Argent R. mHealth Apps for Musculoskeletal Rehabilitation: Systematic Search in App Stores and Content Analysis. JMIR Rehabilitation and Assistive Technologies 2022;9(3):e34355 View
  8. Liu K, Or C, So M, Cheung B, Chan B, Tiwari A, Tan J. A longitudinal examination of tablet self-management technology acceptance by patients with chronic diseases: Integrating perceived hand function, perceived visual function, and perceived home space adequacy with the TAM and TPB. Applied Ergonomics 2022;100:103667 View
  9. Gardner R, Haskell J, Jenkins B, Capizzo L, Cooper E, Morphis B. Innovative Use of a Mobile Web Application to Remotely Monitor Nonhospitalized Patients with COVID-19. Telemedicine and e-Health 2022;28(9):1285 View
  10. Liu S, La H, Willms A, Rhodes R. A “No-Code” App Design Platform for Mobile Health Research: Development and Usability Study. JMIR Formative Research 2022;6(8):e38737 View
  11. Choi E, Park J, Min D, Ahn S, Ahn J. Heart Failure-Smart Life: a randomized controlled trial of a mobile app for self-management in patients with heart failure. BMC Cardiovascular Disorders 2023;23(1) View
  12. Lee J, Yeom I, Chung M, Kim Y, Yoo S, Kim E. Use of Mobile Apps for Self-care in People With Parkinson Disease: Systematic Review. JMIR mHealth and uHealth 2022;10(1):e33944 View
  13. Valinskas S, Aleknavicius K, Jonusas J. KetoCycle mobile app for ketogenic diet: a retrospective study of weight loss and engagement. BMC Nutrition 2022;8(1) View
  14. Greenwood D, Litchman M, Isaacs D, Blanchette J, Dickinson J, Hughes A, Colicchio V, Ye J, Yehl K, Todd A, Peeples M. A New Taxonomy for Technology-Enabled Diabetes Self-Management Interventions: Results of an Umbrella Review. Journal of Diabetes Science and Technology 2022;16(4):812 View
  15. Yoon S, Kwan Y, Phang J, Tan W, Low L. Personal Goals, Barriers to Self-Management and Desired mHealth Application Features to Improve Self-Care in Multi-Ethnic Asian Patients with Type 2 Diabetes: A Qualitative Study. International Journal of Environmental Research and Public Health 2022;19(22):15415 View
  16. Dickson V, Fletcher J, Riegel B. Psychometric Testing of the Self-care of Hypertension Inventory Version 3.0. Journal of Cardiovascular Nursing 2021;36(5):411 View
  17. Chen D, Zhang H, Cui N, Song F, Tang L, Shao J, Wu J, Guo P, Liu N, Wang X, Ye Z. Development of a behavior change intervention to improve physical activity adherence in individuals with metabolic syndrome using the behavior change wheel. BMC Public Health 2022;22(1) View
  18. Liu K, Su P, Wang H, Tao D. Contextualizing Visualizations of Digital Health Information among Young and Older Adults Based on Eye-Tracking. Sustainability 2022;14(24):16506 View
  19. Lantzsch H, Eckhardt H, Campione A, Busse R, Henschke C. Digital health applications and the fast-track pathway to public health coverage in Germany: challenges and opportunities based on first results. BMC Health Services Research 2022;22(1) View
  20. Suriyawong W, Kao T, Robbins L, Ling J, Malete L. Psychosocial Determinants of Recommended Lifestyle Behaviors among Hypertensive Patients: An Integrative Literature Review. Western Journal of Nursing Research 2023;45(5):455 View
  21. Valinskas S, Nakrys M, Aleknavičius K, Jonusas J, Lileikienė A. User Engagement and Weight Loss Facilitated by a Mobile App: Retrospective Review of Medical Records. JMIR Formative Research 2023;7:e42266 View
  22. Kim M, Schroeder S, Chan S, Hickerson K, Lee Y. Reviewing the User-Centered Design Process for a Comprehensive Gastroesophageal Reflux Disease (GERD) App. International Journal of Environmental Research and Public Health 2022;19(3):1128 View
  23. Xie Z, Chen J, Or C. Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2022;24(9):e25959 View
  24. Chan H, Lim H, Chong P, Yung C, Abd Mulok M, Wei Y, Yong A. Development and Exploration of the Effectiveness and Feasibility of a Digital Intervention for Type 2 Diabetes Mellitus (DEsireD): Protocol for a Clinical Nonrandomized Pilot Trial in Brunei Darussalam. JMIR Research Protocols 2022;11(12):e43208 View
  25. Oh S, Kim K, Kim S, Park S, Park S. Effect of an Integrative Mobile Health Intervention in Patients With Hypertension and Diabetes: Crossover Study. JMIR mHealth and uHealth 2022;10(1):e27192 View
  26. 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
  27. Kharaman-nia F, Rezaei H, Roustaei N, Etemadfar P, Hosseini N. Comparing the effects of self- care education by lecture and smartphone application on self-efficacy of patients with thalassemia. BMC Medical Informatics and Decision Making 2023;23(1) View
  28. Negreiros F, Flor A, Araújo A, Cestari V, Florêncio R, Moreira T, Araújo S, Silva L, Moreira T. E-MunDiabetes. CIN: Computers, Informatics, Nursing 2022;40(5):325 View
  29. Zhou H, Wang X, Yang Y, Chen Z, Zhang L, Zheng C, Shao L, Tian Y, Cao X, Hu Z, Tian Y, Chen L, Cai J, Gu R, Wang Z. Effect of a Multicomponent Intervention Delivered on a Web-Based Platform on Hypertension Control. JAMA Network Open 2022;5(12):e2245439 View
  30. Nelson L, Spieker A, Mayberry L, McNaughton C, Greevy R. Estimating the impact of engagement with digital health interventions on patient outcomes in randomized trials. Journal of the American Medical Informatics Association 2021;29(1):128 View
  31. Huang X, Zeng J, Zhao N, Fan L, Ruan D, Wang J, Hong X, Yu C. Experience of using a smartphone WeChat applet for dental anxiety assessment and preoperative evaluation: A nationwide multicenter study. Frontiers in Public Health 2022;10 View
  32. Bricca A, Pellegrini A, Zangger G, Ahler J, Jäger M, Skou S. The Quality of Health Apps and Their Potential to Promote Behavior Change in Patients With a Chronic Condition or Multimorbidity: Systematic Search in App Store and Google Play. JMIR mHealth and uHealth 2022;10(2):e33168 View
  33. Valinskas S, Aleknavicius K, Nakrys M, Jonusas J. Fasting and weight loss: mobile application-based approach. BMC Nutrition 2022;8(1) View
  34. Gerner M, Vuillerme N, Aubourg T, Messner E, Terhorst Y, Hörmann V, Ganzleben I, Schenker H, Schett G, Atreya R, Neurath M, Knitza J, Orlemann T. Review and Analysis of German Mobile Apps for Inflammatory Bowel Disease Management Using the Mobile Application Rating Scale: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2022;10(5):e31102 View
  35. Lobo E, Karmakar C, Abdelrazek M, Abawajy J, Chow C, Zhang Y, Kabir M, Daryabeygi R, Maddison R, Islam S. Design and development of a smartphone app for hypertension management: An intervention mapping approach. Frontiers in Public Health 2023;11 View
  36. Jarl F, Davelid A, Hedin K, Stomby A, Petersson C. Overcoming the struggle of living with type 2 diabetes – diabetes specialist nurses’ and patients’ perspectives on digital interventions. BMC Health Services Research 2023;23(1) View
  37. Giebel G, Speckemeier C, Abels C, Plescher F, Börchers K, Wasem J, Blase N, Neusser S. Problems and Barriers Related to the Use of Digital Health Applications: Scoping Review. Journal of Medical Internet Research 2023;25:e43808 View
  38. Sun T, Zhao H, Ding Z, Xie H, Ma L, Zhang Y, Wang Y, Yang Y, Xu C, Sun Y, Xu X, Ma Z. Evaluating a WeChat-Based Health Behavioral Digital Intervention for Patients With Hypertension: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2023;12:e46883 View
  39. Sae-lee K, Surangsrirat D, Parlawong C, Anawilkul T, Assawachamrun N, Boonbandan P, Ladapongpuwat P, Chupetch B, Thongchai S, Pruphetkaew N, Thongseiratch T, Vichitkunakorn P, Ngamchaliew P. Workout Logging Through an mHealth App for Weight Reduction Among Different Generations: Secondary Analysis of the MED PSU×ThaiSook Healthier Challenge. JMIR Formative Research 2023;7:e45298 View
  40. Guo S, Lin J, Hsing H, Lee C, Chuang S. The Effect of Mobile eHealth Education to Improve Knowledge, Skills, Self-Care, and Mobile eHealth Literacies Among Patients With Diabetes: Development and Evaluation Study. Journal of Medical Internet Research 2023;25:e42497 View
  41. Zamanillo-Campos R, Fiol-deRoque M, Serrano-Ripoll M, Mira-Martínez S, Ricci-Cabello I. Development and evaluation of DiabeText, a personalized mHealth intervention to support medication adherence and lifestyle change behaviour in patients with type 2 diabetes in Spain: A mixed-methods phase II pragmatic randomized controlled clinical trial. International Journal of Medical Informatics 2023;176:105103 View
  42. Xie Z, Or C. Consumers’ Preferences for Purchasing mHealth Apps: Discrete Choice Experiment. JMIR mHealth and uHealth 2023;11:e25908 View
  43. Chong C, Bakry M, Hatah E, Mohd Tahir N, Mustafa N. Effects of mobile apps intervention on medication adherence and type 2 diabetes mellitus control: A systematic review and meta-analysis. Journal of Telemedicine and Telecare 2023 View
  44. Burnier M. The role of adherence in patients with chronic diseases. European Journal of Internal Medicine 2024;119:1 View
  45. Jannati N, Salehinejad S, Kuenzig M, Peña-Sánchez J. Review and content analysis of mobile apps for inflammatory bowel disease management using the mobile application rating scale (MARS): Systematic search in app stores. International Journal of Medical Informatics 2023;180:105249 View
  46. Nakrys M, Valinskas S, Aleknavicius K, Jonusas J. Pilot Investigation of Blood Pressure Control Using a Mobile App (Cardi.Health): Retrospective Chart Review Study. JMIR Cardio 2023;7:e48454 View
  47. Peng L, Xu L, Wang S, Huang W, Liu Q, Huang N, Wu P, Tang J. Development and usability of a Mobile Interactive Application (VCPW) for Vascular Crisis Prewarning after Skin Flap Transplantation. JPRAS Open 2023;37:109 View
  48. Aziz S, El Monem Sultan E, Ramadan H, Abd O. Effect of Using Smart Phone Application on Self-Care Activities among Patients with Diabetes Mellitus. Egyptian Nursing Journal 2023;20(1):147 View
  49. Inchusri T, Surangsrirat D, Kwanmuang P, Poomivanichakij P, Apiwatgaroon P, Ongprakobkul S, Kongchu A, Klinpikul A, Taneeheng A, Pruphetkaew N, Thongseiratch T, Ngamchaliew P, Vichitkunakorn P. Association of Generation and Group Size With the Usage of a Mobile Health App in Thailand: Secondary Analysis of the ThaiSook Cohort Study. Journal of Medical Internet Research 2023;25:e45374 View
  50. Mair J, Salamanca-Sanabria A, Augsburger M, Frese B, Abend S, Jakob R, Kowatsch T, Haug S. Effective Behavior Change Techniques in Digital Health Interventions for the Prevention or Management of Noncommunicable Diseases: An Umbrella Review. Annals of Behavioral Medicine 2023;57(10):817 View
  51. Kitazawa M, Takeda Y, Hatta M, Horikawa C, Sato T, Osawa T, Ishizawa M, Suzuki H, Matsubayashi Y, Fujihara K, Yamada T, Sone H. Lifestyle Intervention With Smartphone App and isCGM for People at High Risk of Type 2 Diabetes: Randomized Trial. The Journal of Clinical Endocrinology & Metabolism 2024;109(4):1060 View
  52. de Bell S, Zhelev Z, Shaw N, Bethel A, Anderson R, Thompson Coon J. Remote monitoring for long-term physical health conditions: an evidence and gap map. Health and Social Care Delivery Research 2023:1 View
  53. Wang Y, Guo F, Wang J, Li Z, Tan W, Xie M, Yang X, Duan S, Song L, Cheng S, Liu Z, Liu H, Qiao J, Wang Y, Zhou L, Zhou X, Jiang H, Yu L. Efficacy of a WeChat-Based Multimodal Digital Transformation Management Model in New-Onset Mild to Moderate Hypertension: Randomized Clinical Trial. Journal of Medical Internet Research 2023;25:e52464 View
  54. Heydari M, Mehraeen E, Javaherikiyan E, Mehrabi N, Langarizadeh M, Aghamohammadi V, Moghaddam H, Nasiri K. Design, development and evaluation of a mobile-based self-care application for patients with COVID-19 not requiring hospitalization; a study of Northwest of Iran. BMC Medical Informatics and Decision Making 2023;23(1) View
  55. Chong S, Pedron S, Abdelmalak N, Laxy M, Stephan A. An umbrella review of effectiveness and efficacy trials for app-based health interventions. npj Digital Medicine 2023;6(1) View
  56. Cao W, Kadir A, Tang W, Wang J, Yuan J, Hassan I. Effectiveness of mobile application interventions for stroke survivors: systematic review and meta-analysis. BMC Medical Informatics and Decision Making 2024;24(1) View
  57. Modica C, Lewis J, Bay R. Advancing Virtual at-Home Care for Community Health Center Patients Using Patient Self-Care Tools, Technology, and Education. Journal of Multidisciplinary Healthcare 2024;Volume 17:521 View
  58. Zhong S, Jiang J, Liu H, Pan Y. Effect of emerging digital technologies and methodologies combined with incentives on HbA1c in patients with type 2 diabetes mellitus: study protocol for a parallel, open randomized controlled trial. Trials 2024;25(1) View
  59. Su P, Liu K. Effects of anthropomorphic design on comprehension of self-monitoring test results: Integrating evidence of eye-tracking and event-related potential. Displays 2024;82:102664 View
  60. Kwan Y, Yoon S, Tai B, Tan C, Phang J, Tan W, Tan N, Tan C, Koot D, Quah Y, Teo H, Low L, Ang Y. Empowering patients with comorbid diabetes and hypertension through a multi-component intervention of mobile app, health coaching and shared decision-making: Protocol for an effectiveness-implementation of randomised controlled trial. PLOS ONE 2024;19(2):e0296338 View
  61. Ullman A, Larsen E, Gibson V, Binnewies S, Ohira R, Marsh N, Mcbride C, Winterbourn K, Boyte F, Cunninghame J, Dufficy M, Plummer K, Roberts N, Takashima M, Cooke M, Byrnes J, Rickard C, Kleidon T. An mHealth application for chronic vascular access: A multi‐method evaluation. Journal of Clinical Nursing 2024;33(5):1762 View
  62. Marcotte-Chénard A, Little J. Towards optimizing exercise prescription for type 2 diabetes: modulating exercise parameters to strategically improve glucose control. Translational Exercise Biomedicine 2024;1(1):71 View
  63. Bushnell C. Achieving Blood Pressure Goals and Addressing Inequities in Blood Pressure Management After Stroke. Journal of the American Heart Association 2024;13(7) View
  64. Tyagi S, Koh G, Lee E, Ong K, Heng R, Er L, Oh E, Teo V, Ng D. Primary Technology Enhanced Care Home HbA1c Testing (PTEC HAT) programme: a feasibility pilot study in Singapore. BMC Primary Care 2024;25(1) View
  65. El-Deyarbi M, Ahmed L, King J, Abubackar S, Al Juboori A, Mansour N, Aburuz S. The effects of multifactorial pharmacist-led intervention protocol on medication optimisation and adherence among patients with type 2 diabetes: A randomised control trial. F1000Research 2024;13:493 View
  66. Enricho Nkhoma D, Jenya Soko C, Joseph Banda K, Greenfield D, Li Y, Iqbal U. Impact of DSMES app interventions on medication adherence in type 2 diabetes mellitus: systematic review and meta-analysis. BMJ Health & Care Informatics 2021;28(1):e100291 View
  67. Tao D, Liu K. How do self-motivation and social motivation contribute to consumers’ acceptance of m-health services?. Health Policy and Technology 2024;13(3):100878 View
  68. Mapinduzi J, Ndacayisaba G, Verbrugghe J, Timmermans A, Kossi O, Bonnechère B. Effectiveness of mHealth Interventions to Improve Pain Intensity and Functional Disability in Individuals With Hip or Knee Osteoarthritis: A Systematic Review and Meta-analysis. Archives of Physical Medicine and Rehabilitation 2024 View
  69. Dsouza S, Venne J, Shetty S, Brand H. Identification of challenges and leveraging mHealth technology, with need-based solutions to empower self-management in type 2 diabetes: a qualitative study. Diabetology & Metabolic Syndrome 2024;16(1) View
  70. Liu M, Wu X, Li Z, Tan D, Huang C. Assessment of Eye Care Apps for Children and Adolescents Based on the Mobile App Rating Scale: Content Analysis and Quality Assessment. JMIR mHealth and uHealth 2024;12:e53805 View
  71. El-Deyarbi M, Ahmed L, King J, Abubackar S, Al Juboori A, Mansour N, Aburuz S. The effects of multifactorial pharmacist-led intervention protocol on medication optimisation and adherence among patients with type 2 diabetes: A randomised control trial. F1000Research 2024;13:493 View
  72. Yildirim Keskin A, Özpancar Şolpan N, Değirmenci H. The Effect of Mobile Application Follow‐Up on Treatment Compliance and Self‐Care Management in Patients With Hypertension: Randomized Controlled Trial. Public Health Nursing 2024 View

Books/Policy Documents

  1. Or C, Holden R, Valdez R. Human-Automation Interaction. View
  2. Bergoeing M, Neyem A, Jofré P, Hernández C, Chacón J, Morales R, Giddings M. Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). View