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

Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Journals

  1. Cafazzo J. A Digital-First Model of Diabetes Care. Diabetes Technology & Therapeutics 2019;21(S2):S2-52 View
  2. Pustozerov E, Popova P, Tkachuk A, Bolotko Y, Yuldashev Z, Grineva E. Development and Evaluation of a Mobile Personalized Blood Glucose Prediction System for Patients With Gestational Diabetes Mellitus. JMIR mHealth and uHealth 2018;6(1):e6 View
  3. Shan R, Sarkar S, Martin S. Digital health technology and mobile devices for the management of diabetes mellitus: state of the art. Diabetologia 2019;62(6):877 View
  4. Huang Z, Soljak M, Boehm B, Car J. Clinical relevance of smartphone apps for diabetes management: A global overview. Diabetes/Metabolism Research and Reviews 2018;34(4) View
  5. 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
  6. McLean A. mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities. JMIR Nursing 2020;3(1):e19302 View
  7. 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
  8. Weitgasser R, Clodi M, Cvach S, Riedl M, Lechleitner M, Ludvik B. Diabetesschulung und -beratung bei Erwachsenen mit Diabetes (Update 2019). Wiener klinische Wochenschrift 2019;131(S1):110 View
  9. Alessa T, Abdi S, Hawley M, de Witte L. Mobile Apps to Support the Self-Management of Hypertension: Systematic Review of Effectiveness, Usability, and User Satisfaction. JMIR mHealth and uHealth 2018;6(7):e10723 View
  10. Hansen W, Scheier L. Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants. JMIR mHealth and uHealth 2019;7(7):e14655 View
  11. Menon A, Gray L, Fatehi F, Bird D, Darssan D, Karunanithi M, Russell A. Mobile-based insulin dose adjustment for type 2 diabetes in community and rural populations: study protocol for a pilot randomized controlled trial. Therapeutic Advances in Endocrinology and Metabolism 2019;10:204201881983664 View
  12. 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
  13. Zhuang Q, Chen F, Wang T. Effectiveness of short message service intervention to improve glycated hemoglobin control and medication adherence in type-2 diabetes: A meta-analysis of prospective studies. Primary Care Diabetes 2020;14(4):356 View
  14. Koot D, Goh P, Lim R, Tian Y, Yau T, Tan N, Finkelstein E. A Mobile Lifestyle Management Program (GlycoLeap) for People With Type 2 Diabetes: Single-Arm Feasibility Study. JMIR mHealth and uHealth 2019;7(5):e12965 View
  15. Summers C, Curtis K. Novel Digital Architecture of a “Low Carb Program” for Initiating and Maintaining Long-Term Sustainable Health-Promoting Behavior Change in Patients with Type 2 Diabetes. JMIR Diabetes 2020;5(1):e15030 View
  16. El Shafie R, Bougatf N, Sprave T, Weber D, Oetzel D, Machmer T, Huber P, Debus J, Nicolay N. Oncologic Therapy Support Via Means of a Dedicated Mobile App (OPTIMISE-1): Protocol for a Prospective Pilot Trial. JMIR Research Protocols 2018;7(3):e70 View
  17. Evans S, Clarke P. Resolving design issues in developing a nutrition app: A case study using formative research. Evaluation and Program Planning 2019;72:97 View
  18. 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
  19. Jeffrey B, Bagala M, Creighton A, Leavey T, Nicholls S, Wood C, Longman J, Barker J, Pit S. Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users. Diabetology & Metabolic Syndrome 2019;11(1) View
  20. 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
  21. 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
  22. 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
  23. Long S, Hasenfuß G, Raupach T. Apps in der Inneren Medizin. Der Internist 2019;60(4):324 View
  24. Hirano R, Yamaguchi S, Waki K, Kimura Y, Chin K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Willingness of Patients Prescribed Medications for Lifestyle-Related Diseases to Use Personal Health Records: Questionnaire Study. Journal of Medical Internet Research 2020;22(5):e13866 View
  25. 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
  26. Maher T. Home spirometry for idiopathic pulmonary fibrosis: ready for prime time?. European Respiratory Journal 2017;50(1):1701403 View
  27. Chen J, Gemming L, Hanning R, Allman-Farinelli M. Smartphone apps and the nutrition care process: Current perspectives and future considerations. Patient Education and Counseling 2018;101(4):750 View
  28. El Shafie R, Weber D, Bougatf N, Sprave T, Oetzel D, Huber P, Debus J, Nicolay N. Supportive Care in Radiotherapy Based on a Mobile App: Prospective Multicenter Survey. JMIR mHealth and uHealth 2018;6(8):e10916 View
  29. 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
  30. Quinn C, Staub S, Barr E, Gruber-Baldini A. Mobile Support for Older Adults and Their Caregivers: Dyad Usability Study. JMIR Aging 2019;2(1):e12276 View
  31. Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023 View
  32. Zheng C, Chen X, Weng L, Guo L, Xu H, Lin M, Xue Y, Lin X, Yang A, Yu L, Xue Z, Yang J. Benefits of Mobile Apps for Cancer Pain Management: Systematic Review. JMIR mHealth and uHealth 2020;8(1):e17055 View
  33. 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
  34. 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
  35. Barmanray R, Briganti E. Glycaemic control apps for diabetes: lifting the lid. Medical Journal of Australia 2018;209(10):426 View
  36. Kebede M, Liedtke T, Möllers T, Pischke C. Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review. Journal of Medical Internet Research 2017;19(10):e348 View
  37. Kelly J, Allman‐Farinelli M, Chen J, Partridge S, Collins C, Rollo M, Haslam R, Diversi T, Campbell K. Dietitians Australia position statement on telehealth. Nutrition & Dietetics 2020;77(4):406 View
  38. Bender B. Where does health communication technology fit into allergy practice?. Annals of Allergy, Asthma & Immunology 2018;121(1):24 View
  39. 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
  40. Oka R, Nomura A, Yasugi A, Kometani M, Gondoh Y, Yoshimura K, Yoneda T. Study Protocol for the Effects of Artificial Intelligence (AI)-Supported Automated Nutritional Intervention on Glycemic Control in Patients with Type 2 Diabetes Mellitus. Diabetes Therapy 2019;10(3):1151 View
  41. TİMURTAŞ E, POLAT M. Usability of Mobile Health Application for Individuals with Type 2 Diabetes Mellitus and Clinicians. Clinical and Experimental Health Sciences 2020;10(1):54 View
  42. Bzowyckyj A. Updates and advances in technology for diabetes self-management. Pharmacy Today 2019;25(5):43 View
  43. 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
  44. Schramm K, Grassl N, Nees J, Hoffmann J, Stepan H, Bruckner T, Haun M, Maatouk I, Haist M, Schott T, Sohn C, Schott S. Women’s Attitudes Toward Self-Monitoring of Their Pregnancy Using Noninvasive Electronic Devices: Cross-Sectional Multicenter Study. JMIR mHealth and uHealth 2019;7(1):e11458 View
  45. Rodriguez J, Singh K. The Spanish Availability and Readability of Diabetes Apps. Journal of Diabetes Science and Technology 2018;12(3):719 View
  46. Kordonouri O, Riddell M. Use of apps for physical activity in type 1 diabetes: current status and requirements for future development. Therapeutic Advances in Endocrinology and Metabolism 2019;10:204201881983929 View
  47. Glattacker M, Boeker M, Anger R, Reichenbach F, Tassoni A, Bredenkamp R, Giesler J. Evaluation of a Mobile Phone App for Patients With Pollen-Related Allergic Rhinitis: Prospective Longitudinal Field Study. JMIR mHealth and uHealth 2020;8(4):e15514 View
  48. Pereyra-Rodriguez J, Jiménez-Zarco A, Saigí-Rubió F. Determinantes de la intención de uso de la telemedicina en una organización sanitaria. Journal of Healthcare Quality Research 2018;33(6):319 View
  49. Bonn S, Alexandrou C, Hjörleifsdottir Steiner K, Wiklander K, Östenson C, Löf M, Trolle Lagerros Y. App-technology to increase physical activity among patients with diabetes type 2 - the DiaCert-study, a randomized controlled trial. BMC Public Health 2018;18(1) View
  50. Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1) View
  51. Hilmarsdóttir E, Sigurðardóttir Á, Arnardóttir R. A Digital Lifestyle Program in Outpatient Treatment of Type 2 Diabetes: A Randomized Controlled Study. Journal of Diabetes Science and Technology 2021;15(5):1134 View
  52. 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
  53. Harrington L. Electronic Person-Generated Health Data. AACN Advanced Critical Care 2019;30(3):217 View
  54. Feuerstein-Simon C, Bzdick S, Padmanabhuni A, Bains P, Roe C, Weinstock R. Use of a Smartphone Application to Reduce Hypoglycemia in Type 1 Diabetes: A Pilot Study. Journal of Diabetes Science and Technology 2018;12(6):1192 View
  55. 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
  56. Hirani S, Rixon L, Cartwright M, Beynon M, Newman S. The Effect of Telehealth on Quality of Life and Psychological Outcomes Over a 12-Month Period in a Diabetes Cohort Within the Whole Systems Demonstrator Cluster Randomized Trial. JMIR Diabetes 2017;2(2):e18 View
  57. Sunil Kumar D, Prakash B, Subhash Chandra B, Kadkol P, Arun V, Thomas J, Kulkarni P, Gopi A, Murthy M. Technological innovations to improve health outcome in type 2 diabetes mellitus: A randomized controlled study. Clinical Epidemiology and Global Health 2021;9:53 View
  58. 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
  59. Pop-Jordanova N, Loleski M, Loleska S. The Use of Smartphone in Medical Practice. PRILOZI 2017;38(3):9 View
  60. 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
  61. Allman-Farinelli M, Gemming L. Technology Interventions to Manage Food Intake: Where Are We Now?. Current Diabetes Reports 2017;17(11) View
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  64. Boodoo C, Perry J, Leung G, Cross K, Isaranuwatchai W. Cost-effectiveness of telemonitoring screening for diabetic foot ulcer: a mathematical model. CMAJ Open 2018;6(4):E486 View
  65. Schiel R, Bambauer R, Steveling A. Technology in Diabetes Treatment: Update and Future. Artificial Organs 2018;42(11):1017 View
  66. Rasche P, Mertens A, Miron-Shatz T, Berzon C, Schlick C, Jahn M, Becker S, Fürnsinn C. Seamless recording of glucometer measurements among older experienced diabetic patients – A study of perception and usability. PLOS ONE 2018;13(5):e0197455 View
  67. Alenazi H, Jamal A, Batais M. Identification of Type 2 Diabetes Management Mobile App Features and Engagement Strategies: Modified Delphi Approach. JMIR mHealth and uHealth 2020;8(9):e17083 View
  68. Alessa T, Hawley M, Hock E, de Witte L. Smartphone Apps to Support Self-Management of Hypertension: Review and Content Analysis. JMIR mHealth and uHealth 2019;7(5):e13645 View
  69. 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
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  92. Shah A, O’Dwyer L, Badawy S. Telemedicine in Malignant and Nonmalignant Hematology: Systematic Review of Pediatric and Adult Studies. JMIR mHealth and uHealth 2021;9(7):e29619 View
  93. Ang I, Tan K, Tan C, Tan C, Kwek J, Tay J, Toh S. A Personalized Mobile Health Program for Type 2 Diabetes During the COVID-19 Pandemic: Single-Group Pre–Post Study. JMIR Diabetes 2021;6(3):e25820 View
  94. 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
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  124. Hong C, Abrams L, Holloway I. Technology-Based Interventions to Promote the HIV Preexposure Prophylaxis (PrEP) Care Continuum: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(3):e33045 View
  125. Ali Sherazi B, Laeer S, Krutisch S, Dabidian A, Schlottau S, Obarcanin E. Functions of mHealth Diabetes Apps That Enable the Provision of Pharmaceutical Care: Criteria Development and Evaluation of Popular Apps. International Journal of Environmental Research and Public Health 2022;20(1):64 View
  126. Kim J, Park T, Kim K. The Clinical Effects of Type 2 Diabetes Patient Management Using Digital Healthcare Technology: A Systematic Review and Meta-Analysis. Healthcare 2022;10(3):522 View
  127. 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
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  129. Montanari V, Gabbay M, Dib S. Comparison of three insulin bolus calculators to increase time in range of glycemia in a group of poorly controlled adults Type 1 diabetes in a Brazilian public health service. Diabetology & Metabolic Syndrome 2022;14(1) View
  130. 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
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  132. Kelley M, Kue J, Brophy L, Peabody A, Foraker R, Yen P, Tucker S. Mobile Health Applications, Cancer Survivors, and Lifestyle Modification. CIN: Computers, Informatics, Nursing 2021;39(11):755 View
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  134. Jang I. A Systematic Review on Mobile Health Applications’ Education Program for Patients Taking Oral Anticoagulants. International Journal of Environmental Research and Public Health 2021;18(17):8902 View
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Books/Policy Documents

  1. Mechanick J, Zhao S. Creating a Lifestyle Medicine Center. View
  2. Tang P, Fisher E. Behavioral Diabetes. View
  3. Van Stee S, Yang Q. Technology and Health. View
  4. Sumilang C. Advancing Mobile Learning in Contemporary Educational Spaces. View
  5. Wali S, Keshavjee K, Demers C. eHealth - Making Health Care Smarter. View
  6. Bregenzer A, Jiménez P. Handbuch Digitale Wirtschaft. View
  7. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. View
  8. Hester J, Zabala Z, Winskell K, Pasquel F. Diabetes Digital Health and Telehealth. View
  9. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. View
  10. Geirhos A, Bendig E, Schmitt A, Ebert D, Baumeister H. Digitale Gesundheitsinterventionen. View
  11. Domínguez-Miranda S, Rodríguez-Aguilar R. Computer Science and Engineering in Health Services. View