Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23477, first published .
Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review

Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review

Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review

Journals

  1. Eberle C, Stichling S. Telemedical Approaches to Managing Gestational Diabetes Mellitus During COVID-19: Systematic Review. JMIR Pediatrics and Parenting 2021;4(3):e28630 View
  2. 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
  3. Tang P, Duni J, Peeples M, Kowitt S, Bhushan N, Sokol R, Fisher E. Complementarity of Digital Health and Peer Support: “This Is What’s Coming”. Frontiers in Clinical Diabetes and Healthcare 2021;2 View
  4. Dai S, Liu X, Chen X, Bie J, Du C, Miao J, Jiang M. Current Status of Out-of-Hospital Management of Cancer Patients and Awareness of Internet Medical Treatment: A Questionnaire Survey. Frontiers in Public Health 2021;9 View
  5. Clements M, Kaufman N, Mel E. Using Digital Health Technology to Prevent and Treat Disease. Diabetes Technology & Therapeutics 2022;24(S1):S-76 View
  6. Bém R. Telemedicine in diabetology. Vnitřní lékařství 2022;68(3):144 View
  7. Vitebskaya A, Krasnovidova A, Rimskaya A. Factors affecting the choice and usage of glucometers in children and adolescents with type 1 diabetes mellitus. Meditsinskiy sovet = Medical Council 2022;(12):64 View
  8. 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
  9. Gupta K, Roy S, Poonia R, Nayak S, Kumar R, Alzahrani K, Alnfiai M, Al-Wesabi F. Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods. Healthcare 2021;10(1):4 View
  10. Sharma V, Feldman M, Sharma R. Telehealth Technologies in Diabetes Self-management and Education. Journal of Diabetes Science and Technology 2024;18(1):148 View
  11. Imrisek S, Lee M, Goldner D, Nagra H, Lavaysse L, Hoy-Rosas J, Dachis J, Sears L. Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults With Type 2 Diabetes Using One Drop: Retrospective Cohort Study. JMIR Diabetes 2022;7(2):e34624 View
  12. 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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  14. Salas-Groves E, Galyean S, Alcorn M, Childress A. Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review. JMIR mHealth and uHealth 2023;11:e41235 View
  15. Vaitkienė G, Kuzborska Z, Žukauskienė M. Digital Health Solutions for Chronic Illnesses: A Systematic Review of Mobile Health Apps and Quality Analysis with Mobile App Rating Scale. Journal of Ageing and Longevity 2022;2(3):193 View
  16. Bogale B, Habte A, Haile D, Guteta M, Mohammed N, Gebremichael M. Willingness to Receive mHealth Messages Among Diabetic Patients at Mizan Tepi University Teaching Hospital: Implications for Digital Health. Patient Preference and Adherence 2022;Volume 16:1499 View
  17. Fu H, Wyman J, Peden-McAlpine C, Draucker C, Schleyer T, Adam T. App Design Features Important for Diabetes Self-management as Determined by the Self-Determination Theory on Motivation: Content Analysis of Survey Responses From Adults Requiring Insulin Therapy. JMIR Diabetes 2023;8:e38592 View
  18. Yamamoto K, Ito M, Sakata M, Koizumi S, Hashisako M, Sato M, Stoyanov S, Furukawa T. Japanese Version of the Mobile App Rating Scale (MARS): Development and Validation. JMIR mHealth and uHealth 2022;10(4):e33725 View
  19. Venkatesan A, Zimmermann G, Rawlings K, Ryan C, Voelker L, Edwards C. Improvements in Glycemic Control and Depressive Symptoms Among Adults With Type 2 Diabetes: Retrospective Study. JMIR Formative Research 2023;0:e41880 View
  20. Hatem S, Long J, Best S, Fehlberg Z, Nic Giolla Easpaig B, Braithwaite J. Mobile Apps for People With Rare Diseases: Review and Quality Assessment Using Mobile App Rating Scale. Journal of Medical Internet Research 2022;24(7):e36691 View
  21. Dsouza S, Shetty S, Venne J, Pundir P, Rajkhowa P, Lewis M, Brand H. Effectiveness of self-management applications in improving clinical health outcomes and adherence among diabetic individuals in low and middle-income countries: a systematic review. BMJ Open 2022;12(11):e060108 View
  22. Stoumpos A, Kitsios F, Talias M. Digital Transformation in Healthcare: Technology Acceptance and Its Applications. International Journal of Environmental Research and Public Health 2023;20(4):3407 View
  23. Fagherazzi G. Technologies will not make diabetes disappear: how to integrate the concept of diabetes distress into care. Diabetes Epidemiology and Management 2023;11:100140 View
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  26. Tang H, Qin H, Zhang M, Zhang J, Tan H, Chen M, Kong L, Guo M, Hu F, Wang Q, Wang X, Zhang K, Xiong Z. Efficacy of a smartphone application for helping individuals with type 2 diabetes mellitus manage their blood glucose: a protocol for factorial design trial. Trials 2023;24(1) View
  27. Lin Y, Aikens J, de Zoysa N, Hall D, Funnell M, Nwankwo R, Kloss K, DeJonckheere M, Pop-Busui R, Piatt G, Amiel S, Piette J. An mHealth Text Messaging Program Providing Symptom Detection Training and Psychoeducation to Improve Hypoglycemia Self-Management: Intervention Development Study. JMIR Formative Research 2023;7:e50374 View
  28. Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500 View
  29. Carpio-Delgado F, Bernedo-Moreira D, Espiritu-Martinez A, Aguilar-Cruzado J, Joo-García C, Mamani-Laura M, Romero-Carazas R. Telemedicine and eHealth Solutions in Clinical Practice. EAI Endorsed Transactions on Pervasive Health and Technology 2023;9 View
  30. 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
  31. Mokaya M, Kyallo F, Yiga P, Boedt T, Vangoitsenhoven R, Matthys C. Food literacy in adults with type 2 diabetes in Kenya: designing mobile phone text messages using the Behaviour Change Wheel framework. (Preprint). JMIR Research Protocols 2023 View
  32. Tao X, Zhang P, Zhang X, Mao L, Peiris D. Features, functions, and quality of mobile applications for type 2 diabetes care in China: Systematic search of app stores. International Journal of Medical Informatics 2023;180:105273 View
  33. Mahmood A, Kim H, Chang C, Kedia S, Arshad H, Dillon P. mHealth Apps Use and Their Associations With Healthcare Decision-Making and Health Communication Among Informal Caregivers: Evidence From the National Cancer Institute’s Health Information National Trends Survey. American Journal of Health Promotion 2024;38(1):40 View
  34. Tornvall I, Kenny D, Wubishet B, Russell A, Menon A, Comans T. Economic Evaluations of mHealth Interventions for the Management of Type 2 Diabetes: A Scoping Review. Journal of Diabetes Science and Technology 2023 View
  35. Hermányi Z, Csiki V, Menyhárt A, Osgyán K, Körei A, Istenes I, Putz Z, Benhamida A, Berey A, Hetthéssy J, Varbiro S, Kozlovszky M, Kempler P. How to evaluate over 60 million blood glucose data — The design of the MÉRY Diabetes Database. Journal of Diabetes and its Complications 2023;37(10):108586 View
  36. Breinbauer M, Jansky M. Gesundheits-Apps in der hausärztlichen Versorgung. Prävention und Gesundheitsförderung 2024;19(3):350 View
  37. Hyun M, Lee J, Ko S. Chronic disease management program applied to type 2 diabetes patients and prevention of diabetic complications: a retrospective cohort study using nationwide data. BMC Public Health 2023;23(1) View
  38. Wynn C, Fiks A, Localio R, Shults J, Nekrasova E, Shone L, Torres A, Griffith M, Unger R, Ware L, Kelly M, Stockwell M. Examination of Text Message Plans and Baseline Usage of Families Enrolled in a Text Message Influenza Vaccine Reminder Trial: Survey Study. JMIR Formative Research 2023;7:e39576 View
  39. Marini C, Cruz J, Payano L, Flores R, Arena G, Mandal S, Leven E, Mann D, Schoenthaler A. Opening the Black Box of an mHealth Patient-Reported Outcome Tool for Diabetes Self-Management: Interview Study Among Patients With Type 2 Diabetes. JMIR Formative Research 2023;7:e47811 View
  40. Tanhapour M, Peimani M, Rostam Niakan Kalhori S, Nasli Esfahani E, Shakibian H, Mohammadzadeh N, Qorbani M. The effect of personalized intelligent digital systems for self-care training on type II diabetes: a systematic review and meta-analysis of clinical trials. Acta Diabetologica 2023;60(12):1599 View
  41. Wu Y, Min H, Li M, Shi Y, Ma A, Han Y, Gan Y, Guo X, Sun X. Effect of Artificial Intelligence-based Health Education Accurately Linking System (AI-HEALS) for Type 2 diabetes self-management: protocol for a mixed-methods study. BMC Public Health 2023;23(1) View
  42. Inomata T, Sung J, Nakamura M, Iwagami M, Akasaki Y, Fujio K, Ebihara N, Ide T, Nagao M, Okumura Y, Nagino K, Fujimoto K, Eguchi A, Hirosawa K, Midorikawa-Inomata A, Muto K, Fujisawa K, Kikuchi Y, Nojiri S, Murakami A. Using the AllerSearch Smartphone App to Assess the Association Between Dry Eye and Hay Fever: mHealth-Based Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e38481 View
  43. Ilan Y. Department of Medicine 2040: Implementing a Constrained Disorder Principle-Based Second-Generation Artificial Intelligence System for Improved Patient Outcomes in the Department of Internal Medicine. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2023;60 View
  44. Son S, Yoo B, Jeong Y. Digital therapeutics-based lumbar core exercise for patients with low back pain: A prospective exploratory pilot study. DIGITAL HEALTH 2024;10 View
  45. Handa T, Onoue T, Kobayashi T, Maeda R, Mizutani K, Yamagami A, Kinoshita T, Yasuda Y, Iwama S, Miyata T, Sugiyama M, Takagi H, Hagiwara D, Suga H, Banno R, Azuma Y, Kasai T, Yoshioka S, Kuwatsuka Y, Arima H. Effects of Digitization of Self-Monitoring of Blood Glucose Records Using a Mobile App and the Cloud System on Outpatient Management of Diabetes: Single-Armed Prospective Study. JMIR Diabetes 2024;9:e48019 View
  46. Pala D, Petrini G, Bosoni P, Larizza C, Quaglini S, Lanzola G. Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. International Journal of Medical Informatics 2024;184:105351 View
  47. Dai Y, Min H, Sun L, Wang X, Zhu C, Gu C. Assessing women's and health professionals' views on developing a midwifery‐led mobile health app intervention in pregnancy: A descriptive qualitative study. Journal of Advanced Nursing 2024;80(10):4259 View
  48. Naef A, Fischbock N, Tezcan-Güntekin H, Amelung V. Adolescents with type 1 diabetes’ perspectives on digital health interventions to enhance health literacy: a qualitative study. Frontiers in Public Health 2024;12 View
  49. Chao S, Pan C, Wang M, Fang Y, Chen S. Functionality and Usability of mHealth Apps in Patients with Peritoneal Dialysis: A Systematic Review. Healthcare 2024;12(5):593 View
  50. Jairoun A, Al-Hemyari S, Shahwan M, Al-Qirim T, Shahwan M. Benefit–Risk Assessment of ChatGPT Applications in the Field of Diabetes and Metabolic Illnesses: A Qualitative Study. Clinical Medicine Insights: Endocrinology and Diabetes 2024;17 View
  51. Bonn S, Hummel M, Peveri G, Eke H, Alexandrou C, Bellocco R, Löf M, Trolle Lagerros Y. Effectiveness of a Smartphone App to Promote Physical Activity Among Persons With Type 2 Diabetes: Randomized Controlled Trial. Interactive Journal of Medical Research 2024;13:e53054 View
  52. Wong A, Bayuo J, Wong F, Chow K, Wong S, Wong B, Law K. Experiences of receiving an mHealth application with proactive nursing support among community-dwelling older adults: a mixed-methods study. BMC Nursing 2024;23(1) View
  53. Avoke D, Elshafeey A, Weinstein R, Kim C, Martin S. Digital Health in Diabetes and Cardiovascular Disease. Endocrine Research 2024;49(3):124 View
  54. Smokovski I, Steinle N, Behnke A, Bhaskar S, Grech G, Richter K, Niklewski G, Birkenbihl C, Parini P, Andrews R, Bauchner H, Golubnitschaja O. Digital biomarkers: 3PM approach revolutionizing chronic disease management — EPMA 2024 position. EPMA Journal 2024;15(2):149 View
  55. Quach S. Que nous réservent les applis de santé mobile en réadaptation – se concentrer sur l’évaluation de la qualité. Physiotherapy Canada 2024;76(2):160 View
  56. Rendell R, Pinheiro M, Wang B, McKay F, Ewen A, Carnegie C, Tikomaidelana E, Fattah Z, Hassett L. Digital Apps to Improve Mobility in Adults with Neurological Conditions: A Health App-Focused Systematic Review. Healthcare 2024;12(9):929 View
  57. Quach S. What’s Next in MHealth Apps in Rehabilitation: Re-Directing Our Attention to Evaluating Quality. Physiotherapy Canada 2024;76(2):157 View
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  60. Liao R, Li Y, Yang H, Luo Y. Influence of mHealth-Based Lifestyle Interventions on Symptoms of Anxiety and Depression of Women With Gestational Diabetes: A Meta-Analysis. Clinical Nursing Research 2024;33(6):448 View
  61. Martins Vancea D, Madureira Sabino T, Nicolas dos Santos Ribeiro J, de Araujo Pereira S, Martins Vancea T, Pimentel de Amorim Nascimento P, Azevedo Barros C, Luiz de Brito Gomes J. Is a 12-week home-based functional teletraining for individuals with type 2 diabetes an alternative for blood glucose control?. Journal of Bodywork and Movement Therapies 2024;40:835 View
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Books/Policy Documents

  1. Douthit B, Richesson R. Clinical Research Informatics. 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
  3. Cedeno-Moreno D, Arrocha-Atencio G, Dominguez-Quintero L, Vargas-Lombardo M. ICT for Intelligent Systems. View