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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (362) Mobile Health (mhealth) (2748) Glucose Tracking and Self-Monitoring of Blood Glucose (150) Apps, Mobile, Wearables for Diabetes (288)

Published on in Vol 5, No 3 (2017): March

Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy

Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy

Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy

Authors of this article:

Yuan Wu1 Author Orcid Image ;   Xun Yao2 Author Orcid Image ;   Giacomo Vespasiani3 Author Orcid Image ;   Antonio Nicolucci4 Author Orcid Image ;   Yajie Dong1 Author Orcid Image ;   Joey Kwong5 Author Orcid Image ;   Ling Li5 Author Orcid Image ;   Xin Sun5 Author Orcid Image ;   Haoming Tian1 Author Orcid Image ;   Sheyu Li1 Author Orcid Image
Article Authors Cited by (189) Tweetations (27) Metrics

Journals

  1. Yang Y, Lee E, Kim H, Lee S, Yoon K, Cho J. Effect of a Mobile Phone–Based Glucose-Monitoring and Feedback System for Type 2 Diabetes Management in Multiple Primary Care Clinic Settings: Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(2):e16266 View
  2. Young H, Miyamoto S, Dharmar M, Tang-Feldman Y. Nurse Coaching and Mobile Health Compared With Usual Care to Improve Diabetes Self-Efficacy for Persons With Type 2 Diabetes: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(3):e16665 View
  3. Siavash Dastjerdi M, Tabatabaee A. A roundup of the simplest mobile phone uses in diabetes management. Diabetes Research and Clinical Practice 2019;158:107895 View
  4. Bzowyckyj A. Updates and advances in technology for diabetes self-management. Pharmacy Today 2019;25(5):43 View
  5. Moral-Munoz J, Zhang W, Cobo M, Herrera-Viedma E, Kaber D. Smartphone-based systems for physical rehabilitation applications: A systematic review. Assistive Technology 2021;33(4):223 View
  6. Rhea C, Felsberg D, Maher J. Toward Evidence-Based Smartphone Apps to Enhance Human Health: Adoption of Behavior Change Techniques. American Journal of Health Education 2018;49(4):210 View
  7. Osborn C, van Ginkel J, Rodbard D, Heyman M, Marrero D, Huddleston B, Dachis J. One Drop | Mobile: An Evaluation of Hemoglobin A1c Improvement Linked to App Engagement. JMIR Diabetes 2017;2(2):e21 View
  8. Zhang Y, Li X, Luo S, Liu C, Xie Y, Guo J, Liu F, Zhou Z. Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey. JMIR mHealth and uHealth 2019;7(2):e12658 View
  9. Castensøe-Seidenfaden P, Husted G, Jensen A, Hommel E, Olsen B, Pedersen-Bjergaard U, Kensing F, Teilmann G. Testing a Smartphone App (Young with Diabetes) to Improve Self-Management of Diabetes Over 12 Months: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(6):e141 View
  10. Nouri S, Adler-Milstein J, Thao C, Acharya P, Barr-Walker J, Sarkar U, Lyles C. Patient characteristics associated with objective measures of digital health tool use in the United States: A literature review. Journal of the American Medical Informatics Association 2020;27(5):834 View
  11. Tyler N, Jacobs P. Artificial Intelligence in Decision Support Systems for Type 1 Diabetes. Sensors 2020;20(11):3214 View
  12. Ernsting C, Stühmann L, Dombrowski S, Voigt-Antons J, Kuhlmey A, Gellert P. Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey. JMIR mHealth and uHealth 2019;7(3):e12179 View
  13. Offringa R, Sheng T, Parks L, Clements M, Kerr D, Greenfield M. Digital Diabetes Management Application Improves Glycemic Outcomes in People With Type 1 and Type 2 Diabetes. Journal of Diabetes Science and Technology 2018;12(3):701 View
  14. Chiu C, Yu Y, Du Y, Yang Y, Chen J, Wong L, Tanasugarn C. Comparing a Social and Communication App, Telephone Intervention, and Usual Care for Diabetes Self-Management: 3-Arm Quasiexperimental Evaluation Study. JMIR mHealth and uHealth 2020;8(6):e14024 View
  15. van Ommen B, Wopereis S, van Empelen P, van Keulen H, Otten W, Kasteleyn M, Molema J, de Hoogh I, Chavannes N, Numans M, Evers A, Pijl H. From Diabetes Care to Diabetes Cure—The Integration of Systems Biology, eHealth, and Behavioral Change. Frontiers in Endocrinology 2018;8 View
  16. Loh K, Ramsdale E, Culakova E, Mendler J, Liesveld J, O'Dwyer K, McHugh C, Gilles M, Lloyd T, Goodman M, Klepin H, Mustian K, Schnall R, Mohile S. Novel mHealth App to Deliver Geriatric Assessment-Driven Interventions for Older Adults With Cancer: Pilot Feasibility and Usability Study. JMIR Cancer 2018;4(2):e10296 View
  17. Rocha N, Rodrigues dos Santos M, Cerqueira M, Queirós A. Mobile Health to Support Ageing in Place. International Journal of E-Health and Medical Communications 2019;10(3):1 View
  18. Rossmann C, Riesmeyer C, Brew-Sam N, Karnowski V, Joeckel S, Chib A, Ling R. Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies. JMIR Diabetes 2019;4(1):e10271 View
  19. Jeddi F, Nabovati E, Amirazodi S. Features and Effects of Information Technology-Based Interventions to Improve Self-Management in Chronic Kidney Disease Patients: a Systematic Review of the Literature. Journal of Medical Systems 2017;41(11) View
  20. Cresswell K, McKinstry B, Wolters M, Shah A, Sheikh A. Five key strategic priorities of integrating patient generated health data into United Kingdom electronic health records. BMJ Health & Care Informatics 2018;25(4):254 View
  21. Sherr J, Tauschmann M, Battelino T, de Bock M, Forlenza G, Roman R, Hood K, Maahs D. ISPAD Clinical Practice Consensus Guidelines 2018: Diabetes technologies. Pediatric Diabetes 2018;19:302 View
  22. Slugocki M, Bialonczyk D, Özdener A. A Review of Emerging Technologies in Diabetes Management for Multiple-Dose Insulin-Injecting Patients With Type 2 Diabetes Who Self-monitor Blood Glucose. Journal of Pharmacy Technology 2019;35(2):69 View
  23. Ye Q, Khan U, Boren S, Simoes E, Kim M. An Analysis of Diabetes Mobile Applications Features Compared to AADE7™: Addressing Self-Management Behaviors in People With Diabetes. Journal of Diabetes Science and Technology 2018;12(4):808 View
  24. Timpel P, Harst L. Research Implications for Future Telemedicine Studies and Innovations in Diabetes and Hypertension—A Mixed Methods Study. Nutrients 2020;12(5):1340 View
  25. Gamble A, Pham Q, Goyal S, Cafazzo J. The Challenges of COVID-19 for People Living With Diabetes: Considerations for Digital Health. JMIR Diabetes 2020;5(2):e19581 View
  26. Sudhir P. Advances in psychological interventions for lifestyle disorders. Current Opinion in Psychiatry 2017;30(5):346 View
  27. Mosconi P, Radrezza S, Lettieri E, Santoro E. Use of Health Apps and Wearable Devices: Survey Among Italian Associations for Patient Advocacy. JMIR mHealth and uHealth 2019;7(1):e10242 View
  28. Do D, Garfein R, Cuevas-Mota J, Collins K, Liu L. Change in Patient Comfort Using Mobile Phones Following the Use of an App to Monitor Tuberculosis Treatment Adherence: Longitudinal Study. JMIR mHealth and uHealth 2019;7(2):e11638 View
  29. Nouri S, Avila-Garcia P, Cemballi A, Sarkar U, Aguilera A, Lyles C. Assessing Mobile Phone Digital Literacy and Engagement in User-Centered Design in a Diverse, Safety-Net Population: Mixed Methods Study. JMIR mHealth and uHealth 2019;7(8):e14250 View
  30. Garnweidner-Holme L, Hoel Andersen T, Sando M, Noll J, Lukasse M. Health Care Professionals’ Attitudes Toward, and Experiences of Using, a Culture-Sensitive Smartphone App for Women with Gestational Diabetes Mellitus: Qualitative Study. JMIR mHealth and uHealth 2018;6(5):e123 View
  31. Valencia W, Botros D, Vera-Nunez M, Dang S. Diabetes Treatment in the Elderly: Incorporating Geriatrics, Technology, and Functional Medicine. Current Diabetes Reports 2018;18(10) View
  32. Schwarz P, Piller S, Kokelmann C, Holland M, Timpel P. Digitalisierung in der Diabetologie — Realität, Herausforderung, Vision. Info Diabetologie 2019;13(1):28 View
  33. Iribarren S, Rodriguez Y, Lin L, Chirico C, Discacciati V, Schnall R, Demiris G. Converting and expanding a mobile support intervention: Focus group and field-testing findings from individuals in active tuberculosis treatment. International Journal of Medical Informatics 2020;136:104057 View
  34. Quevedo Rodríguez A, Wägner A. Mobile phone applications for diabetes management: A systematic review. Endocrinología, Diabetes y Nutrición 2019;66(5):330 View
  35. Veazie S, Winchell K, Gilbert J, Paynter R, Ivlev I, Eden K, Nussbaum K, Weiskopf N, Guise J, Helfand M. Rapid Evidence Review of Mobile Applications for Self-management of Diabetes. Journal of General Internal Medicine 2018;33(7):1167 View
  36. Pramanik B, Angelin J, Mathai V, Mathai S, Korula S, Simon A. Smartphone App as Motivational Intervention to Improve Glycemic Control in Adolescents with Type 1 Diabetes. The Indian Journal of Pediatrics 2019;86(12):1118 View
  37. Su J, Dugas M, Guo X, Gao G. Influence of Personality on mHealth Use in Patients with Diabetes: Prospective Pilot Study. JMIR mHealth and uHealth 2020;8(8):e17709 View
  38. Dugan J, Ahmed S, Vincent M, Perry R, Young C. Managing Diabetes in the Digital Age. Physician Assistant Clinics 2020;5(2):177 View
  39. Vaughn J, Gollarahalli S, Shaw R, Docherty S, Yang Q, Malhotra C, Summers-Goeckerman E, Shah N. Mobile Health Technology for Pediatric Symptom Monitoring. Nursing Research 2020;69(2):142 View
  40. Sanders I, Short C, Bogomolova S, Stanford T, Plotnikoff R, Vandelanotte C, Olds T, Edney S, Ryan J, Curtis R, Maher C. Characteristics of Adopters of an Online Social Networking Physical Activity Mobile Phone App: Cluster Analysis. JMIR mHealth and uHealth 2019;7(6):e12484 View
  41. Miele F, Clementi S, Gennaro R, Nicolao I, Romanelli T, Speese K, Piras E. Text Messaging and Type 1 Diabetes Management: Qualitative Study Exploring Interactions Among Patients and Health Care Professionals. JMIR Diabetes 2019;4(2):e11343 View
  42. Owolabi E, Goon D. The use of text messaging for improving adherence to anti-diabetic regimen and glycaemic control in low-resource settings of South Africa: A study protocol for a randomised controlled trial. Contemporary Clinical Trials Communications 2019;15:100418 View
  43. Brew-Sam N, Chib A. How Do Smart Device Apps for Diabetes Self-Management Correspond with Theoretical Indicators of Empowerment? An Analysis of App Features. International Journal of Technology Assessment in Health Care 2019;35(2):150 View
  44. Quevedo Rodríguez A, Wägner A. Mobile phone applications for diabetes management: A systematic review. Endocrinología, Diabetes y Nutrición (English ed.) 2019;66(5):330 View
  45. Greenwood D, Gee P, Fatkin K, Peeples M. A Systematic Review of Reviews Evaluating Technology-Enabled Diabetes Self-Management Education and Support. Journal of Diabetes Science and Technology 2017;11(5):1015 View
  46. Yamaguchi S, Waki K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Usage Patterns of GlucoNote, a Self-Management Smartphone App, Based on ResearchKit for Patients With Type 2 Diabetes and Prediabetes. JMIR mHealth and uHealth 2019;7(4):e13204 View
  47. Krishnan G, Selvam G. Factors influencing the download of mobile health apps: Content review-led regression analysis. Health Policy and Technology 2019;8(4):356 View
  48. Thompson B. Do Smartphone Applications Hold the Secret to Reducing Hypoglycemia in Type 1 Diabetes?. Journal of Diabetes Science and Technology 2018;12(6):1200 View
  49. Salazar A, de Sola H, Failde I, Moral-Munoz J. Measuring the Quality of Mobile Apps for the Management of Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale. JMIR mHealth and uHealth 2018;6(10):e10718 View
  50. de Sousa A, Bim L, Schneider G, Hermann P, de Andrade D, Fronteira I. m-Health in the Surgical Context: Prospecting, Review and Analysis of Mobile Applications. The Open Nursing Journal 2019;13(1):18 View
  51. Aria R, Archer N. The role of support and sustainability elements in the adoption of an online self-management support system for chronic illnesses. Journal of Biomedical Informatics 2019;95:103215 View
  52. Vashistha R, Dangi A, Kumar A, Chhabra D, Shukla P. Futuristic biosensors for cardiac health care: an artificial intelligence approach. 3 Biotech 2018;8(8) View
  53. Toniazzo M, Nodari D, Muniz F, Weidlich P. Effect of mHealth in improving oral hygiene: A systematic review with meta‐analysis. Journal of Clinical Periodontology 2019;46(3):297 View
  54. Chhabra H, Sharma S, Verma S. Smartphone app in self-management of chronic low back pain: a randomized controlled trial. European Spine Journal 2018;27(11):2862 View
  55. Issom D, Henriksen A, Woldaregay A, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599 View
  56. Quinn C, Swasey K, Crabbe J, Shardell M, Terrin M, Barr E, Gruber-Baldini A. The Impact of a Mobile Diabetes Health Intervention on Diabetes Distress and Depression Among Adults: Secondary Analysis of a Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(12):e183 View
  57. Owolabi E, Goon D, Ajayi A, Taheri S. Efficacy, acceptability and feasibility of daily text-messaging in promoting glycaemic control and other clinical outcomes in a low-resource setting of South Africa: A randomised controlled trial. PLOS ONE 2019;14(11):e0224791 View
  58. Barmanray R, Briganti E. Glycaemic control apps for diabetes: lifting the lid. Medical Journal of Australia 2018;209(10):426 View
  59. Rowland S, Fitzgerald J, Holme T, Powell J, McGregor A. What is the clinical value of mHealth for patients?. npj Digital Medicine 2020;3(1) View
  60. Skar J, Garnweidner-Holme L, Lukasse M, Terragni L. Women's experiences with using a smartphone app (the Pregnant+ app) to manage gestational diabetes mellitus in a randomised controlled trial. Midwifery 2018;58:102 View
  61. Jeon E, Park H. Experiences of Patients With a Diabetes Self-Care App Developed Based on the Information-Motivation-Behavioral Skills Model: Before-and-After Study. JMIR Diabetes 2019;4(2):e11590 View
  62. Waa J, Schoonderwoerd T, Diggelen J, Neerincx M. Interpretable confidence measures for decision support systems. International Journal of Human-Computer Studies 2020;144:102493 View
  63. Qan'ir Y, Song L. Systematic review of technology‐based interventions to improve anxiety, depression, and health‐related quality of life among patients with prostate cancer. Psycho-Oncology 2019;28(8):1601 View
  64. Wu Y, Zhou Y, Wang X, Zhang Q, Yao X, Li X, Li J, Tian H, Li S. A Comparison of Functional Features in Chinese and US Mobile Apps for Diabetes Self-Management: A Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2019;7(8):e13971 View
  65. Tyler N, Mosquera-Lopez C, Wilson L, Dodier R, Branigan D, Gabo V, Guillot F, Hilts W, El Youssef J, Castle J, Jacobs P. An artificial intelligence decision support system for the management of type 1 diabetes. Nature Metabolism 2020;2(7):612 View
  66. Donevant S, Estrada R, Culley J, Habing B, Adams S. Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature. Journal of the American Medical Informatics Association 2018;25(10):1407 View
  67. Scott I, Scuffham P, Gupta D, Harch T, Borchi J, Richards B. Going digital: a narrative overview of the effects, quality and utility of mobile apps in chronic disease self-management. Australian Health Review 2020;44(1):62 View
  68. Bellei E, Biduski D, Lisboa H, De Marchi A. Development and Assessment of a Mobile Health Application for Monitoring the Linkage Among Treatment Factors of Type 1 Diabetes Mellitus. Telemedicine and e-Health 2020;26(2):205 View
  69. Levine D, Co Z, Newmark L, Groisser A, Holmgren A, Haas J, Bates D. Design and testing of a mobile health application rating tool. npj Digital Medicine 2020;3(1) View
  70. Dugas M, Gao G, Agarwal R. Unpacking mHealth interventions: A systematic review of behavior change techniques used in randomized controlled trials assessing mHealth effectiveness. DIGITAL HEALTH 2020;6:205520762090541 View
  71. Aji M, Glozier N, Bartlett D, Peters D, Calvo R, Zheng Y, Grunstein R, Gordon C. A feasibility study of a mobile app to treat insomnia. Translational Behavioral Medicine 2021;11(2):604 View
  72. Zarowitz B. Emerging Pharmacotherapy and Health Care Needs of Patients in the Age of Artificial Intelligence and Digitalization. Annals of Pharmacotherapy 2020;54(10):1038 View
  73. Carter D, Robinson K, Forbes J, Walsh J, Hayes S. Exploring the perspectives of stroke survivors and healthcare professionals on the use of mobile health to promote physical activity: A qualitative study protocol. HRB Open Research 2019;2:9 View
  74. Rinaldi G, Hijazi A, Haghparast-Bidgoli H. Cost and cost-effectiveness of mHealth interventions for the prevention and control of type 2 diabetes mellitus: A systematic review. Diabetes Research and Clinical Practice 2020;162:108084 View
  75. Timpel P, Oswald S, Schwarz P, Harst L. Mapping the Evidence on the Effectiveness of Telemedicine Interventions in Diabetes, Dyslipidemia, and Hypertension: An Umbrella Review of Systematic Reviews and Meta-Analyses. Journal of Medical Internet Research 2020;22(3):e16791 View
  76. Stein N, Brooks K. A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults. JMIR Diabetes 2017;2(2):e28 View
  77. Klonoff D. Behavioral Theory: The Missing Ingredient for Digital Health Tools to Change Behavior and Increase Adherence. Journal of Diabetes Science and Technology 2019;13(2):276 View
  78. Zhang Y, Li X, Luo S, Liu C, Liu F, Zhou Z. Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study. JMIR mHealth and uHealth 2018;6(9):e11400 View
  79. Chakranon P, Lai Y, Tang Y, Choudhary P, Khunti K, Lee S. Distal technology interventions in people with diabetes: an umbrella review of multiple health outcomes. Diabetic Medicine 2020;37(12):1966 View
  80. Neerincx M, van Vught W, Blanson Henkemans O, Oleari E, Broekens J, Peters R, Kaptein F, Demiris Y, Kiefer B, Fumagalli D, Bierman B. Socio-Cognitive Engineering of a Robotic Partner for Child's Diabetes Self-Management. Frontiers in Robotics and AI 2019;6 View
  81. Heller S, Gianfrancesco C, Taylor C, Elliott J. What are the characteristics of the best type 1 diabetes patient education programmes (from diagnosis to long‐term care), do they improve outcomes and what is required to make them more effective?. Diabetic Medicine 2020;37(4):545 View
  82. Burgess J, Watt K, Kimble R, Cameron C. Combining Technology and Research to Prevent Scald Injuries (the Cool Runnings Intervention): Randomized Controlled Trial. Journal of Medical Internet Research 2018;20(10):e10361 View
  83. Öberg U, Orre C, Hörnsten Å, Jutterström L, Isaksson U. Using the Self-Management Assessment Scale for Screening Support Needs in Type 2 Diabetes: Qualitative Study. JMIR Nursing 2020;3(1):e16318 View
  84. Trawley S, Baptista S, Browne J, Pouwer F, Speight J. The Use of Mobile Applications Among Adults with Type 1 and Type 2 Diabetes: Results from the Second MILES—Australia (MILES-2) Study. Diabetes Technology & Therapeutics 2017;19(12):730 View
  85. Berman M, Guthrie N, Edwards K, Appelbaum K, Njike V, Eisenberg D, Katz D. Change in Glycemic Control With Use of a Digital Therapeutic in Adults With Type 2 Diabetes: Cohort Study. JMIR Diabetes 2018;3(1):e4 View
  86. Villinger K, Wahl D, Boeing H, Schupp H, Renner B. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews 2019;20(10):1465 View
  87. Vehi J, Regincós Isern J, Parcerisas A, Calm R, Contreras I. Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study. JMIR mHealth and uHealth 2019;7(3):e11933 View
  88. Surkan P, Mezzanotte K, Sena L, Chang L, Gittelsohn J, Trolle Lagerros Y, Quinn C, Zachary W. Community-Driven Priorities in Smartphone Application Development: Leveraging Social Networks to Self-Manage Type 2 Diabetes in a Low-Income African American Neighborhood. International Journal of Environmental Research and Public Health 2019;16(15):2715 View
  89. Russell‐Jones D, Pouwer F, Khunti K. Identification of barriers to insulin therapy and approaches to overcoming them. Diabetes, Obesity and Metabolism 2018;20(3):488 View
  90. Aminuddin H, Jiao N, Jiang Y, Hong J, Wang W. Effectiveness of smartphone-based self-management interventions on self-efficacy, self-care activities, health-related quality of life and clinical outcomes in patients with type 2 diabetes: A systematic review and meta-analysis. International Journal of Nursing Studies 2021;116:103286 View
  91. Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2020;55:101301 View
  92. Xie B, Su Z, Zhang W, Cai R. Chinese Cardiovascular Disease Mobile Apps’ Information Types, Information Quality, and Interactive Functions for Self-Management: Systematic Review. JMIR mHealth and uHealth 2017;5(12):e195 View
  93. Gong E, Zhang Z, Jin X, Liu Y, Zhong L, Wu Y, Zhong X, Yan L, Oldenburg B. Quality, Functionality, and Features of Chinese Mobile Apps for Diabetes Self-Management: Systematic Search and Evaluation of Mobile Apps. JMIR mHealth and uHealth 2020;8(4):e14836 View
  94. Liu K, Xie Z, Or C. 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. JMIR mHealth and uHealth 2020;8(8):e15779 View
  95. Najm A, Nikiphorou E, Kostine M, Richez C, Pauling J, Finckh A, Ritschl V, Prior Y, Balážová P, Stones S, Szekanecz Z, Iagnocco A, Ramiro S, Sivera F, Dougados M, Carmona L, Burmester G, Wiek D, Gossec L, Berenbaum F. EULAR points to consider for the development, evaluation and implementation of mobile health applications aiding self-management in people living with rheumatic and musculoskeletal diseases. RMD Open 2019;5(2):e001014 View
  96. McLean A. mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities. JMIR Nursing 2020;3(1):e19302 View
  97. Allman-Farinelli M, Gemming L. Technology Interventions to Manage Food Intake: Where Are We Now?. Current Diabetes Reports 2017;17(11) View
  98. Tauschmann M, Hovorka R. Technology in the management of type 1 diabetes mellitus — current status and future prospects. Nature Reviews Endocrinology 2018;14(8):464 View
  99. Cafazzo J. A Digital-First Model of Diabetes Care. Diabetes Technology & Therapeutics 2019;21(S2):S2-52 View
  100. Wang Y, Min J, Khuri J, Xue H, Xie B, A Kaminsky L, J Cheskin L. Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews. JMIR mHealth and uHealth 2020;8(4):e15400 View
  101. Iribarren S, Akande T, Kamp K, Barry D, Kader Y, Suelzer E. Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2021;9(1):e21563 View
  102. Yang Y, Cho J. Clinical Effects of Remote Glucose Monitoring and Patient-Centered Education Platform for Patients with Diabetes. The Journal of Korean Diabetes 2020;21(4):204 View
  103. Ramallo-Fariña Y, García-Bello M, García-Pérez L, Boronat M, Wägner A, Rodríguez-Rodríguez L, de Pablos-Velasco P, Llorente Gómez de Segura I, González- Pacheco H, Carmona Rodríguez M, Serrano-Aguilar P. Effectiveness of Internet-Based Multicomponent Interventions for Patients and Health Care Professionals to Improve Clinical Outcomes in Type 2 Diabetes Evaluated Through the INDICA Study: Multiarm Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(11):e18922 View
  104. Martinez W, Threatt A, Rosenbloom S, Wallston K, Hickson G, Elasy T. A Patient-Facing Diabetes Dashboard Embedded in a Patient Web Portal: Design Sprint and Usability Testing. JMIR Human Factors 2018;5(3):e26 View
  105. Böhm A, Jensen M, Sørensen M, Stargardt T. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study. JMIR mHealth and uHealth 2020;8(11):e22212 View
  106. Dugas M, Wang W, Crowley K, Iyer A, Peeples M, Shomali M, Gao G. Engagement and Outcomes Associated with Contextual Annotation Features of a Digital Health Solution. Journal of Diabetes Science and Technology 2022;16(4):804 View
  107. Flors-Sidro J, Househ M, Abd-Alrazaq A, Vidal-Alaball J, Fernandez-Luque L, Sanchez-Bocanegra C. Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps. JMIR Diabetes 2021;6(1):e16146 View
  108. 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
  109. Agarwal P, Gordon D, Griffith J, Kithulegoda N, Witteman H, Sacha Bhatia R, Kushniruk A, Borycki E, Lamothe L, Springall E, Shaw J. Assessing the quality of mobile applications in chronic disease management: a scoping review. npj Digital Medicine 2021;4(1) View
  110. Li J, Wei D, Liu S, Li M, Chen X, Chen L, Wu Y, Zhou W, Ouyang L, Tan C, Meng H, Tong N. Efficiency of an mHealth App and Chest-Wearable Remote Exercise Monitoring Intervention in Patients With Type 2 Diabetes: A Prospective, Multicenter Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(2):e23338 View
  111. Bermejo-Gil B, Pérez-Robledo F, Llamas-Ramos R, Silva L, Sales-Mendes A, Leithardt V, Llamas-Ramos I. RespiraConNosotros: A Viable Home-Based Telerehabilitation System for Respiratory Patients. Sensors 2021;21(10):3318 View
  112. Ossai C, Wickramasinghe N. Text Mining and Grounded Theory for Appraising the Self-Management Indicators of Diabetes Mobile Apps. Endocrine and Metabolic Science 2021;4:100101 View
  113. Qan’ir Y, Khalifeh A, Eid M, Hammad B, Al-Batran M. Mobile health apps use among Jordanian outpatients: A descriptive study. Health Informatics Journal 2021;27(2):146045822110179 View
  114. El-Gayar O, Ofori M, Nawar N. On the efficacy of behavior change techniques in mHealth for self-management of diabetes: A meta-analysis. Journal of Biomedical Informatics 2021;119:103839 View
  115. Fan K, Zhao Y. Mobile health technology: a novel tool in chronic disease management. Intelligent Medicine 2022;2(1):41 View
  116. Liu C, Tang S, An K, Zhang S, Zhou Y, Su N, Yang R, Liao X, An Z, Li S. Knowledge, Attitude, and Practice of Metformin Extended-Release Tablets Among Clinicians in China: A Cross-Sectional Survey. Frontiers in Pharmacology 2021;12 View
  117. Tu Y, Chang Y, Chiou H, Lai K. The Effects of Continuous Usage of a Diabetes Management App on Glycemic Control in Real-world Clinical Practice: Retrospective Analysis. Journal of Medical Internet Research 2021;23(7):e23227 View
  118. 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
  119. Lee E, Cha S, Yun J, Lim S, Lee J, Ahn Y, Yoon K, Hyun M, Ko S. Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(7):e37430 View
  120. Zahmatkeshan M, Zakerabasali S, Farjam M, Gholampour Y, Seraji M, Yazdani A. The use of mobile health interventions for gestational diabetes mellitus: a descriptive literature review. Journal of Medicine and Life 2021;14(2):131 View
  121. Saffari S, Ning Y, Xie F, Chakraborty B, Volovici V, Vaughan R, Ong M, Liu N. AutoScore-Ordinal: an interpretable machine learning framework for generating scoring models for ordinal outcomes. BMC Medical Research Methodology 2022;22(1) View
  122. Zhu T, Uduku C, Li K, Herrero P, Oliver N, Georgiou P. Enhancing self-management in type 1 diabetes with wearables and deep learning. npj Digital Medicine 2022;5(1) View
  123. Stawarz K, Katz D, Ayobi A, Marshall P, Yamagata T, Santos-Rodriguez R, Flach P, O’Kane A. Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making. International Journal of Human-Computer Studies 2023;173:103003 View
  124. Leong C, Lee T, Chien Y, Kuo L, Kuo Y, Chen H. Social Media–Delivered Patient Education to Enhance Self-management and Attitudes of Patients with Type 2 Diabetes During the COVID-19 Pandemic: Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(3):e31449 View
  125. Hietbrink E, Middelweerd A, van Empelen P, Preuhs K, Konijnendijk A, Oude Nijeweme-d’Hollosy W, Schrijver L, Laverman G, Vollenbroek-Hutten M. A Digital Lifestyle Coach (E-Supporter 1.0) to Support People With Type 2 Diabetes: Participatory Development Study. JMIR Human Factors 2023;10:e40017 View
  126. Giebel G, Speckemeier C, Abels C, Börchers K, Wasem J, Blase N, Neusser S. Problems and Barriers Related to the Use of Digital Health Applications: Protocol for a Scoping Review. JMIR Research Protocols 2022;11(4):e32702 View
  127. María Gómez A, Cristina Henao D, León Vargas F, Mauricio Muñoz O, David Lucero O, García Jaramillo M, Aldea A, Martin C, Miguel Rodríguez Hortúa L, Patricia Rubio Reyes C, Alejandra Páez Hortúa M, Rondón M. Efficacy of the mHealth application in patients with type 2 diabetes transitioning from inpatient to outpatient care: A randomized controlled clinical trial. Diabetes Research and Clinical Practice 2022;189:109948 View
  128. Hou I, Chung T. The Acceptability Study of Heart Transplantation Self-Management Support mHealth Application (iHeart App) in Taiwan: Mix Method Approaches. (Preprint). JMIR Formative Research 2020 View
  129. Stevens S, Gallagher S, Andrews T, Ashall-Payne L, Humphreys L, Leigh S. The effectiveness of digital health technologies for patients with diabetes mellitus: A systematic review. Frontiers in Clinical Diabetes and Healthcare 2022;3 View
  130. Alaslawi H, Berrou I, Al Hamid A, Alhuwail D, Aslanpour Z. Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda. JMIR Diabetes 2022;7(3):e28153 View
  131. Sabharwal M, Misra A, Ghosh A, Chopra G. Efficacy of Digitally Supported and Real-Time Self-Monitoring of Blood Glucose-Driven Counseling in Patients with Type 2 Diabetes Mellitus: A Real-World, Retrospective Study in North India. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2022;Volume 15:23 View
  132. 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
  133. Stephen D, Nordin A, Nilsson J, Persenius M. Using mHealth applications for self-care – An integrative review on perceptions among adults with type 1 diabetes. BMC Endocrine Disorders 2022;22(1) View
  134. Rivière C, Brureau L, Parnot C, Becherirat S, Duverger C, Picchi H, Le Roy A, Vuagnat P, Schernberg A, Vanquaethem H, Helissey C. Effectiveness of a digital telemonitoring platform for cancer care of older patients: The ConnectElderlyPatientToDoctor study. International Journal of Cancer 2023;152(3):504 View
  135. Kaveh M, Faradonbeh M, Kaveh S. Telehealth impact on biomedical, psychosocial, and behavioural outcomes in patients with diabetes older than 50 years: A systematic synthesis without meta-analysis. Journal of Telemedicine and Telecare 2024;30(2):285 View
  136. Smyth S, Curtin E, Tully E, Molphy Z, Breathnach F. Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review. JMIR Diabetes 2022;7(4):e38910 View
  137. Bae S, Borac S, Emre Y, Wang J, Wu J, Kashyap M, Kang S, Chen L, Moran M, Cannon J, Teasley E, Chai A, Liu Y, Wadhwa N, Krainin M, Rubinstein M, Maciel A, McConnell M, Patel S, Corrado G, Taylor J, Zhan J, Po M. Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms. Communications Medicine 2022;2(1) View
  138. Su N, Xu T, Li X, Zheng H, Wu B, Zhang S, Zhou Y, Du L, Zhao Y. Heparin and Related Substances for Treating Diabetic Foot Ulcers: A Systematic Review and Meta-Analysis. Frontiers in Endocrinology 2022;13 View
  139. Laptev D, Eremina I, Karpushkina A, Petryaykina E, Bezlepkina O, Peterkova V. Remote monitoring of adolescents with type 1 diabetes mellitus using a mobile application. Diabetes mellitus 2022;24(5):404 View
  140. Kundury K, Bovilla V, Kumar K, Chandrashekarappa S, Madhunapantula S, Hathur B. Providing Diabetes Education through Phone Calls Assisted in the Better Control of Hyperglycemia and Improved the Knowledge of Patients on Diabetes Management. Healthcare 2023;11(4):528 View
  141. Santos D, Batistelli C, Lara M, Ferreira E, Moreira T, Cotta R. The effectiveness of the use of telehealth programs in the care of individuals with hypertension and, or diabetes mellitus: systematic review and meta-analysis. Diabetology & Metabolic Syndrome 2022;14(1) View
  142. Cucciniello M, Petracca F, Ciani O, Tarricone R. Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials. npj Digital Medicine 2021;4(1) View
  143. Blanchard J, Ahmed S, Clark B, Sanchez Cotto L, Rangasamy S, Thompson B. Design and Testing of a Smartphone Application for Real-Time Tracking of CSII and CGM Site Rotation Compliance in Patients With Type 1 Diabetes. Journal of Diabetes Science and Technology 2022:193229682211451 View
  144. İNKAYA B, YILMAZER T, TÜZER H, ERBİL E. Given According to Knowledge, Motivation and Behavioral Skills (IMB Model) The Effect of Diabetes Education on Self-Care. Turkish Journal of Diabetes and Obesity 2022;6(3):241 View
  145. Pullyblank K, Scribani M, Wyckoff L, Krupa N, Flynn J, Henderson C, Strogatz D. Evaluating the Implementation of the Diabetes Self-Management Program in a Rural Population. Diabetes Spectrum 2022;35(1):95 View
  146. Wang H, Jiang Y, Wiley J, Ge L. Effectiveness of Smartphone-Based Lifestyle Interventions on Women with Gestational Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Psychology Research and Behavior Management 2022;Volume 15:3541 View
  147. Benton J, Cotterill S, Hawkes R, Miles L, French D. Changes in a Digital Type 2 Diabetes Self-management Intervention During National Rollout: Mixed Methods Study of Fidelity. Journal of Medical Internet Research 2022;24(12):e39483 View
  148. 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
  149. Wangler J, Jansky M. Attitudes and experiences of registered diabetes specialists in using health apps for managing type 2 diabetes: results from a mixed-methods study in Germany 2021/2022. Archives of Public Health 2023;81(1) View
  150. Aydin A, Gürsoy A, Karal H. Mobile care app development process: using the ADDIE model to manage symptoms after breast cancer surgery (step 1). Discover Oncology 2023;14(1) View
  151. Sze W, Waki K, Enomoto S, Nagata Y, Nangaku M, Yamauchi T, Ohe K. StepAdd: A personalized mHealth intervention based on social cognitive theory to increase physical activity among type 2 diabetes patients. Journal of Biomedical Informatics 2023;145:104481 View
  152. ÖCAL P. The use of mobile health applications in empowering self-management of type 2 diabetes: a literature review. The European Research Journal 2024;10(1):127 View
  153. SHIBAYAMA K, SAKAMOTO T, FURUSHIMA C. Mobile App-based Interventions for Patients with Noncommunicable Diseases in Japan: A Scoping Review. Asian Journal of Human Services 2023;25(0):177 View
  154. Iversen L, Weritz J, Nock A, Waidhas L, Petersen-Ewert C. eHealth im Community Health Nursing – Mobile Anwendungen zur Therapie von Menschen mit Diabetes mellitus Typ 2. Diabetologie und Stoffwechsel 2024;19(02):131 View
  155. Zein S, Salleh N, Grundy J. Systematic reviews in mobile app software engineering: A tertiary study. Information and Software Technology 2023;164:107323 View
  156. Jonusas J, Aleknavicius K, Valinskas S. Klinio mobile app for diabetes self-care: A pilot study of HbA1c improvement in type 2 diabetes patients. Smart Health 2023;29:100404 View
  157. Alsayed A, Ismail N, Hasan L, Syed A, Embarak F, Da'u A. A systematic literature review for understanding the effectiveness of advanced techniques in diabetes self-care management. Alexandria Engineering Journal 2023;79:274 View
  158. Giovanazzi A, Gios L, Mastellaro M, Gentilini M, Valent F, Condini S, Bincoletto G, Bacchiega A, Zorzi A, Malfatti G, Perini F, Eccher C, Marchesoni M, Dall’Alda M, Orrasch M, Conforti D, Inchiostro S. Organisational models supported by technology for the management of diabetic disease and its complications in a diabetic clinic setting: study protocol for a randomised controlled trial targeting type 2 diabetes individuals with non-ideal glycaemic values (Telemechron study). Trials 2023;24(1) View
  159. Hietbrink E, Oude Nijeweme-d’Hollosy W, Middelweerd A, Konijnendijk A, Schrijver L, ten Voorde A, Fokkema E, Laverman G, Vollenbroek-Hutten M. A Digital Coach (E-Supporter 1.0) to Support Physical Activity and a Healthy Diet in People With Type 2 Diabetes: Acceptability and Limited Efficacy Testing. JMIR Formative Research 2023;7:e45294 View
  160. Painter A, van Dael J, Neves A, Bachtiger P, O’Brien N, Gardner C, Quint J, Adamson A, Peters N, Darzi A, Ghafur S. Identifying benefits and concerns with using digital health services during COVID-19: Evidence from a hospital-based patient survey. Health Informatics Journal 2023;29(4) View
  161. 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
  162. Waki K, Tsurutani Y, Waki H, Enomoto S, Kashiwabara K, Fujiwara A, Orime K, Kinguchi S, Yamauchi T, Hirawa N, Tamura K, Terauchi Y, Nangaku M, Ohe K. Efficacy of StepAdd, a Personalized mHealth Intervention Based on Social Cognitive Theory to Increase Physical Activity Among Patients With Type 2 Diabetes Mellitus: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e53514 View
  163. Hakami A, Almutairi B, Alanazi A, Alzahrani M. Effect of Mobile Apps on Medication Adherence of Type 2 Diabetes Mellitus: A Systematic Review of Recent Studies. Cureus 2024 View
  164. Biskupiak Z, Ha V, Rohaj A, Bulaj G. Digital Therapeutics for Improving Effectiveness of Pharmaceutical Drugs and Biological Products: Preclinical and Clinical Studies Supporting Development of Drug + Digital Combination Therapies for Chronic Diseases. Journal of Clinical Medicine 2024;13(2):403 View
  165. Lee J, Kim Y. Evaluation of Mobile Applications for Patients with Diabetes Mellitus: A Scoping Review. Healthcare 2024;12(3):368 View
  166. Di Martino G, della Valle C, Centorbi M, Buonsenso A, Fiorilli G, Calcagno G, Iuliano E, di Cagno A. Enhancing Behavioural Changes: A Narrative Review on the Effectiveness of a Multifactorial APP-Based Intervention Integrating Physical Activity. International Journal of Environmental Research and Public Health 2024;21(2):233 View
  167. Tarricone R, Petracca F, Svae L, Cucciniello M, Ciani O. Which behaviour change techniques work best for diabetes self-management mobile apps? Results from a systematic review and meta-analysis of randomised controlled trials. eBioMedicine 2024;103:105091 View
  168. Pavan J, Noaro G, Facchinetti A, Salvagnin D, Sparacino G, Del Favero S. A strategy based on integer programming for optimal dosing and timing of preventive hypoglycemic treatments in type 1 diabetes management. Computer Methods and Programs in Biomedicine 2024;250:108179 View
  169. Chen C, Serata E, Scheub R, Dassau T, Wasserman R, Anderson B, Volkening L, Laffel L. Text messaging to enhance glucose monitoring and self-care in teens with type 1 diabetes: Teens’ perceptions predict outcomes. Diabetes Research and Clinical Practice 2024;212:111719 View
  170. Rinaldi G, Hijazi A, Haghparast-Bidgoli H. Cost and cost-effectiveness of mHealth interventions for the prevention and control of type 2 diabetes mellitus: a protocol for a systematic review. BMJ Open 2019;9(4):e027490 View
  171. Petrella R. The AI Future of Emergency Medicine. Annals of Emergency Medicine 2024 View
  172. Peng P, Shen Y, Xiong H. Wearable monitoring device based on an internet management platform improves metabolic parameters in type 2 diabetes patients: a prospective pilot study. Postgraduate Medicine 2024:1 View

Books/Policy Documents

  1. Ji C. Cyber Security Intelligence and Analytics. View
  2. Kim K, Jalil S, Ngo V. Consumer Informatics and Digital Health. View
  3. Zaires S, Perrakis G, Bekri E, Katrakazas P, Lambrou G, Koutsouris D. EMBEC & NBC 2017. View
  4. Tang P, Fisher E. Behavioral Diabetes. View
  5. Riva S, Hampton P, Chinyio E. Collaboration and Integration in Construction, Engineering, Management and Technology. View
  6. Ulapane N, Wickramasinghe N. Optimizing Health Monitoring Systems With Wireless Technology. View
  7. Marvel F, Huynh P, Martin S. Precision Medicine in Cardiovascular Disease Prevention. View
  8. Issom D. Sickle Cell Disease. View
  9. Rocha N, Rodrigues dos Santos M, Cerqueira M, Queirós A. Research Anthology on Supporting Healthy Aging in a Digital Society. View
  10. Martins C, Martinho D, Marreiros G, Conceição L, Faria L, Simões de Almeida R. Digital Therapies in Psychosocial Rehabilitation and Mental Health. View
  11. Wu X. 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City. View