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Published on 14.03.17 in Vol 5, No 3 (2017): March

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.6522):

(note that this is only a small subset of citations)

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  4. Su J, Dugas M, Guo X, Gao G. The Influence of Personality on mHealth Adoption Preference and Active Utilization Among Patients with Diabetes: A Prospective Pilot Study (Preprint). JMIR mHealth and uHealth 2020;
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  5. Dugan JA, Ahmed S, Vincent M, Perry R, Young CF. Managing Diabetes in the Digital Age. Physician Assistant Clinics 2020;5(2):177
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  7. Young HM, 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
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  8. Issom D, Henriksen A, Woldaregay AZ, 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
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  19. Timpel P, Oswald S, Schwarz PEH, 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
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  21. Gong E, Zhang Z, Jin X, Liu Y, Zhong L, Wu Y, Zhong X, Yan LL, 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
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  22. Gamble A, Pham Q, Goyal S, Cafazzo JA. The Challenges of COVID-19 for People Living With Diabetes: Considerations for Digital Health. JMIR Diabetes 2020;5(2):e19581
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  23. 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
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  24. 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
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  25. Tyler NS, Jacobs PG. Artificial Intelligence in Decision Support Systems for Type 1 Diabetes. Sensors 2020;20(11):3214
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  26. Nouri SS, 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
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  27. de Sousa AFL, Bim LL, Schneider G, Hermann PRDS, 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
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  28. Klonoff DC. 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
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  29. Slugocki M, Bialonczyk D, Özdener AE. 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
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  30. 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
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  31. 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
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  32. Ernsting C, Stühmann LM, Dombrowski SU, 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
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  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
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  34. Carter DD, Robinson K, Forbes J, Walsh JC, 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
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  36. Chakranon P, Lai YK, Tang YW, Choudhary P, Khunti K, Lee SWH. Distal technology interventions in people with diabetes: an umbrella review of multiple health outcomes. Diabetic Medicine 2019;
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  38. Neerincx MA, 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
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  39. Bzowyckyj A. Updates and advances in technology for diabetes self-management. Pharmacy Today 2019;25(5):43
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  40. Villinger K, Wahl DR, Boeing H, Schupp HT, 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
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  41. 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
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  42. Surkan PJ, Mezzanotte KS, Sena LM, Chang LW, Gittelsohn J, Trolle Lagerros Y, Quinn CC, Zachary WW. 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
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  43. Aminuddin HB, 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 2019;:103286
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  44. 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 2019;:101301
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  45. Siavash Dastjerdi M, Tabatabaee A. A roundup of the simplest mobile phone uses in diabetes management. Diabetes Research and Clinical Practice 2019;158:107895
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  46. Liu K, Xie Z, Or CK. Effectiveness of mobile app-assisted self-care interventions in improving patient outcomes in type 2 diabetes and/or hypertension: A systematic review and meta-analysis of randomized controlled trials (Preprint). JMIR mHealth and uHealth 2019;
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  47. Najm A, Nikiphorou E, Kostine M, Richez C, Pauling JD, 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
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  48. Cafazzo JA. A Digital-First Model of Diabetes Care. Diabetes Technology & Therapeutics 2019;21(S2):S2-52
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  49. Owolabi EO, Goon DT, Ajayi AI, 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
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  50. 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
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  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
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  52. Quevedo Rodríguez A, Wägner AM. Mobile phone applications for diabetes management: A systematic review. Endocrinología, Diabetes y Nutrición (English ed.) 2019;66(5):330
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  53. 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
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  54. Do D, Garfein RS, 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
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  55. Nouri SS, Avila-Garcia P, Cemballi AG, Sarkar U, Aguilera A, Lyles CR. 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
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  56. Schwarz PEH, Piller S, Kokelmann C, Holland M, Timpel P. Digitalisierung in der Diabetologie — Realität, Herausforderung, Vision. Info Diabetologie 2019;13(1):28
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  57. Quevedo Rodríguez A, Wägner AM. Mobile phone applications for diabetes management: A systematic review. Endocrinología, Diabetes y Nutrición 2019;66(5):330
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  58. Pramanik BK, Angelin JJ, Mathai VJ, 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
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  59. Sanders I, Short CE, Bogomolova S, Stanford T, Plotnikoff R, Vandelanotte C, Olds T, Edney S, Ryan J, Curtis RG, 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
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  60. Miele F, Clementi S, Gennaro R, Nicolao I, Romanelli T, Speese K, Piras EM. Text Messaging and Type 1 Diabetes Management: Qualitative Study Exploring Interactions Among Patients and Health Care Professionals. JMIR Diabetes 2019;4(2):e11343
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  61. Owolabi EO, Goon DT. 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
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  62. 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
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  63. 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
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  64. 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
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  65. 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
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  66. Rocha NP, 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
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  67. Ye Q, Khan U, Boren SA, Simoes EJ, Kim MS. 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
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  72. Garnweidner-Holme L, Hoel Andersen T, Sando MW, 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
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  1. Ji C. Cyber Security Intelligence and Analytics. 2020. Chapter 79:561
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  2. Tang PY, Fisher EB. Behavioral Diabetes. 2020. Chapter 27:417
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  3. Kim KK, Jalil S, Ngo V. Consumer Informatics and Digital Health. 2019. Chapter 12:221
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  4. Zaires S, Perrakis G, Bekri E, Katrakazas P, Lambrou G, Koutsouris D. EMBEC & NBC 2017. 2018. Chapter 45:177
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