Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 13.11.13 in Vol 15, No 11 (2013): November

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

Works citing "Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2588):

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

  1. Zhao J, Freeman B, Li M. Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review. Journal of Medical Internet Research 2016;18(11):e287
    CrossRef
  2. Richards R, Kinnersley P, Brain K, McCutchan G, Staffurth J, Wood F. Use of Mobile Devices to Help Cancer Patients Meet Their Information Needs in Non-Inpatient Settings: Systematic Review. JMIR mHealth and uHealth 2018;6(12):e10026
    CrossRef
  3. Adu MD, Malabu UH, Malau-Aduli AE, Drovandi A, Malau-Aduli BS. User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study. JMIR mHealth and uHealth 2020;8(6):e17802
    CrossRef
  4. Hilliard ME, Hahn A, Ridge AK, Eakin MN, Riekert KA. User Preferences and Design Recommendations for an mHealth App to Promote Cystic Fibrosis Self-Management. JMIR mHealth and uHealth 2014;2(4):e44
    CrossRef
  5. Flores Mateo G, Granado-Font E, Ferré-Grau C, Montaña-Carreras X. Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2015;17(11):e253
    CrossRef
  6. Patton SR, McConville A, Marker AM, Monzon AD, Driscoll KA, Clements MA. Reducing Emotional Distress for Childhood Hypoglycemia in Parents (REDCHiP): Protocol for a Randomized Clinical Trial to Test a Video-Based Telehealth Intervention. JMIR Research Protocols 2020;9(8):e17877
    CrossRef
  7. Donevant SB, Estrada RD, Culley JM, Habing B, Adams SA. 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
    CrossRef
  8. Symer MM, Abelson JS, Milsom J, McClure B, Yeo HL. A Mobile Health Application to Track Patients After Gastrointestinal Surgery: Results from a Pilot Study. Journal of Gastrointestinal Surgery 2017;21(9):1500
    CrossRef
  9. Breton MD, Patek SD, Lv D, Schertz E, Robic J, Pinnata J, Kollar L, Barnett C, Wakeman C, Oliveri M, Fabris C, Chernavvsky D, Kovatchev BP, Anderson SM. Continuous Glucose Monitoring and Insulin Informed Advisory System with Automated Titration and Dosing of Insulin Reduces Glucose Variability in Type 1 Diabetes Mellitus. Diabetes Technology & Therapeutics 2018;20(8):531
    CrossRef
  10. Nwolise CH, Carey N, Shawe J. Preconception Care Education for Women With Diabetes: A Systematic Review of Conventional and Digital Health Interventions. Journal of Medical Internet Research 2016;18(11):e291
    CrossRef
  11. Cipolla C, Ardissone A. Un paradigma cittadino-centrico nella m-Health. SALUTE E SOCIETÀ 2017;(2):11
    CrossRef
  12. Kebede M, Schuett C, Pischke C. The Role of Continuous Glucose Monitoring, Diabetes Smartphone Applications, and Self-Care Behavior in Glycemic Control: Results of a Multi-National Online Survey. Journal of Clinical Medicine 2019;8(1):109
    CrossRef
  13. Morawski K, Ghazinouri R, Krumme A, McDonough J, Durfee E, Oley L, Mohta N, Juusola J, Choudhry NK. Rationale and design of the Medication adherence Improvement Support App For Engagement—Blood Pressure (MedISAFE-BP) trial. American Heart Journal 2017;186:40
    CrossRef
  14. Nwolise CH, Carey N, Shawe J. Exploring the acceptability and feasibility of a preconception and diabetes information app for women with pregestational diabetes: A mixed-methods study protocol. DIGITAL HEALTH 2017;3:205520761772641
    CrossRef
  15. Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1)
    CrossRef
  16. Zhang L, He X, Shen Y, Yu H, Pan J, Zhu W, Zhou J, Bao Y. Effectiveness of Smartphone App–Based Interactive Management on Glycemic Control in Chinese Patients With Poorly Controlled Diabetes: Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(12):e15401
    CrossRef
  17. Eiland L, McLarney M, Thangavelu T, Drincic A. App-Based Insulin Calculators: Current and Future State. Current Diabetes Reports 2018;18(11)
    CrossRef
  18. 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
    CrossRef
  19. Con D, De Cruz P. Mobile Phone Apps for Inflammatory Bowel Disease Self-Management: A Systematic Assessment of Content and Tools. JMIR mHealth and uHealth 2016;4(1):e13
    CrossRef
  20. Holmen H, Wahl AK, Cvancarova Småstuen M, Ribu L. Tailored Communication Within Mobile Apps for Diabetes Self-Management: A Systematic Review. Journal of Medical Internet Research 2017;19(6):e227
    CrossRef
  21. Rajan JV, Moura J, Gourley G, Kiso K, Sizilio A, Cortez AM, Riley LW, Veras MA, Sarkar U. Understanding the barriers to successful adoption and use of a mobile health information system in a community health center in São Paulo, Brazil: a cohort study. BMC Medical Informatics and Decision Making 2016;16(1)
    CrossRef
  22. Patel D, Sarlati S, Martin-Tuite P, Feler J, Chehab L, Texada M, Marquez R, Orellana FJ, Henderson TL, Nwabuo A, Plevin R, Dicker RA, Juillard C, Sammann A. Designing an Information and Communications Technology Tool With and for Victims of Violence and Their Case Managers in San Francisco: Human-Centered Design Study. JMIR mHealth and uHealth 2020;8(8):e15866
    CrossRef
  23. Fakih El Khoury C, Karavetian M, Halfens RJ, Crutzen R, Khoja L, Schols JM. The Effects of Dietary Mobile Apps on Nutritional Outcomes in Adults with Chronic Diseases: A Systematic Review and Meta-Analysis. Journal of the Academy of Nutrition and Dietetics 2019;119(4):626
    CrossRef
  24. Cook KA, Modena BD, Simon RA. Improvement in Asthma Control Using a Minimally Burdensome and Proactive Smartphone Application. The Journal of Allergy and Clinical Immunology: In Practice 2016;4(4):730
    CrossRef
  25. Kang Y, Shen H, Lin C, Elwyn G, Huang S, Wu T, Hou W. Does a Mobile app improve patients’ knowledge of stroke risk factors and health-related quality of life in patients with stroke? A randomized controlled trial. BMC Medical Informatics and Decision Making 2019;19(1)
    CrossRef
  26. Bobian M, Kandinov A, El‐Kashlan N, Svider PF, Folbe AJ, Mayerhoff R, Eloy JA, Raza SN. Mobile applications and patient education: Are currently available GERD mobile apps sufficient?. The Laryngoscope 2017;127(8):1775
    CrossRef
  27. Waite M, Martin C, Franklin R, Duce D, Harrison R. Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review. JMIR Human Factors 2018;5(1):e11
    CrossRef
  28. Hamine S, Gerth-Guyette E, Faulx D, Green BB, Ginsburg AS. Impact of mHealth Chronic Disease Management on Treatment Adherence and Patient Outcomes: A Systematic Review. Journal of Medical Internet Research 2015;17(2):e52
    CrossRef
  29. Su D, McBride C, Zhou J, Kelley MS. Does nutritional counseling in telemedicine improve treatment outcomes for diabetes? A systematic review and meta-analysis of results from 92 studies. Journal of Telemedicine and Telecare 2016;22(6):333
    CrossRef
  30. Huang L, Yan Z, Huang H. The effect of short message service intervention on glycemic control in diabetes: a systematic review and meta-analysis. Postgraduate Medicine 2019;131(8):566
    CrossRef
  31. Xu L, Fang W, Zhu F, Zhang H, Liu K. A coordinated PCP-Cardiologist Telemedicine Model (PCTM) in China’s community hypertension care: study protocol for a randomized controlled trial. Trials 2017;18(1)
    CrossRef
  32. Boyle L, Grainger R, Hall RM, Krebs JD. Use of and Beliefs About Mobile Phone Apps for Diabetes Self-Management: Surveys of People in a Hospital Diabetes Clinic and Diabetes Health Professionals in New Zealand. JMIR mHealth and uHealth 2017;5(6):e85
    CrossRef
  33. Dotto A, Dunsmuir D, Sun T, Chiu LYL, Ree R, Ansermino JM, Yarnold CH. The use of the Panda-Nerve Block pain app in single-shot peripheral nerve block patients: a feasibility study. Canadian Journal of Anesthesia/Journal canadien d'anesthésie 2020;67(9):1140
    CrossRef
  34. Choi J, Park D, Noh G. The effect of Attributes of Exercise/Fitness Apps on App Usage: A Convergence Perspective Based on the Self-Determination Theory. Journal of Digital Convergence 2015;13(6):327
    CrossRef
  35. Trawley S, Baptista S, Browne JL, 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
    CrossRef
  36. Rathnayake S, Moyle W, Jones C, Calleja P. mHealth applications as an educational and supportive resource for family carers of people with dementia: An integrative review. Dementia 2019;18(7-8):3091
    CrossRef
  37. James DCS, Harville C. Barriers and Motivators to Participating in mHealth Research Among African American Men. American Journal of Men's Health 2017;11(6):1605
    CrossRef
  38. Martinez-Millana A, Jarones E, Fernandez-Llatas C, Hartvigsen G, Traver V. App Features for Type 1 Diabetes Support and Patient Empowerment: Systematic Literature Review and Benchmark Comparison. JMIR mHealth and uHealth 2018;6(11):e12237
    CrossRef
  39. Tildesley HD, Po MD, Ross SA. Internet Blood Glucose Monitoring Systems Provide Lasting Glycemic Benefit in Type 1 and 2 Diabetes. Medical Clinics of North America 2015;99(1):17
    CrossRef
  40. Dias Junior A, Murali S, Rincon F, Atienza D. Methods for reliable estimation of pulse transit time and blood pressure variations using smartphone sensors. Microprocessors and Microsystems 2016;46:84
    CrossRef
  41. Wu X, Guo X, Zhang Z. The Efficacy of Mobile Phone Apps for Lifestyle Modification in Diabetes: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2019;7(1):e12297
    CrossRef
  42. . New technology and illness self-management: Potential relevance for resource-poor populations in Asia. Social Science & Medicine 2015;145:145
    CrossRef
  43. Hong MK, Cho YY, Rha MY, Kim JH, Lee M. Six-month Outcomes of Mobile Phone Application-based Self-management in a Patient with Type 2 Diabetes. Clinical Nutrition Research 2015;4(3):201
    CrossRef
  44. Silva BM, Rodrigues JJ, de la Torre Díez I, López-Coronado M, Saleem K. Mobile-health: A review of current state in 2015. Journal of Biomedical Informatics 2015;56:265
    CrossRef
  45. . A Digital-First Model of Diabetes Care. Diabetes Technology & Therapeutics 2019;21(S2):S2-52
    CrossRef
  46. Adu MD, Malabu UH, Callander EJ, Malau-Aduli AE, Malau-Aduli BS. Considerations for the Development of Mobile Phone Apps to Support Diabetes Self-Management: Systematic Review. JMIR mHealth and uHealth 2018;6(6):e10115
    CrossRef
  47. Dobson R, Whittaker R, Murphy R, Khanolkar M, Miller S, Naylor J, Maddison R. The Use of Mobile Health to Deliver Self-Management Support to Young People With Type 1 Diabetes: A Cross-Sectional Survey. JMIR Diabetes 2017;2(1):e4
    CrossRef
  48. MacMillan F, Kirk A, Mutrie N, Moola F, Robertson K. Building physical activity and sedentary behavior support into care for youth with type 1 diabetes: patient, parent and diabetes professional perceptions. Pediatric Diabetes 2016;17(2):140
    CrossRef
  49. Holtz BE, Murray KM, Hershey DD, Dunneback JK, Cotten SR, Holmstrom AJ, Vyas A, Kaiser MK, Wood MA. Developing a Patient-Centered mHealth App: A Tool for Adolescents With Type 1 Diabetes and Their Parents. JMIR mHealth and uHealth 2017;5(4):e53
    CrossRef
  50. Duke DC, Barry S, Wagner DV, Speight J, Choudhary P, Harris MA. Distal technologies and type 1 diabetes management. The Lancet Diabetes & Endocrinology 2018;6(2):143
    CrossRef
  51. Sunil Kumar D, Prakash B, Subhash Chandra B, Kadkol PS, Arun V, Thomas JJ. An android smartphone-based randomized intervention improves the quality of life in patients with type 2 diabetes in Mysore, Karnataka, India. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2020;14(5):1327
    CrossRef
  52. Abaza H, Marschollek M. mHealth Application Areas and Technology Combinations. Methods of Information in Medicine 2017;56(S 01):e105
    CrossRef
  53. Wu Y, Yao X, Vespasiani G, Nicolucci A, Dong Y, Kwong J, Li L, Sun X, Tian H, Li S. Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy. JMIR mHealth and uHealth 2017;5(3):e35
    CrossRef
  54. Kordonouri O, Riddell MC. 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
    CrossRef
  55. Yu Y, Yan Q, Li H, Li H, Wang L, Wang H, Zhang Y, Xu L, Tang Z, Yan X, Chen Y, He H, Chen J, Feng B. Effects of mobile phone application combined with or without self‐monitoring of blood glucose on glycemic control in patients with diabetes: A randomized controlled trial. Journal of Diabetes Investigation 2019;10(5):1365
    CrossRef
  56. Firth J, Torous J. Smartphone Apps for Schizophrenia: A Systematic Review. JMIR mHealth and uHealth 2015;3(4):e102
    CrossRef
  57. Kinsella N, Stattin P, Cahill D, Brown C, Bill-Axelson A, Bratt O, Carlsson S, Van Hemelrijck M. Factors Influencing Men's Choice of and Adherence to Active Surveillance for Low-risk Prostate Cancer: A Mixed-method Systematic Review. European Urology 2018;74(3):261
    CrossRef
  58. Zhu S, Liu F, Li J, Guan Y, Meng M, Li X, Zhou Z, Xu R, Li L. Development and validation of a self-management scale of type 1 diabetes for Chinese adults. Journal of International Medical Research 2020;48(8):030006052094758
    CrossRef
  59. Muhammed T, Mehmood R, Albeshri A, Katib I. UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities. IEEE Access 2018;6:32258
    CrossRef
  60. Kebede MM, Pischke CR. Popular Diabetes Apps and the Impact of Diabetes App Use on Self-Care Behaviour: A Survey Among the Digital Community of Persons With Diabetes on Social Media. Frontiers in Endocrinology 2019;10
    CrossRef
  61. Franklin RH, Waite M, Martin C. The use of mobile technology to facilitate self‐management in adults with type 1 diabetes: A qualitative explorative approach. Nursing Open 2019;6(3):1013
    CrossRef
  62. Leung S, McCormick B, Wagner J, Biyani M, Lavoie S, Imtiaz R, Zimmerman D. Meal phosphate variability does not support fixed dose phosphate binder schedules for patients treated with peritoneal dialysis: a prospective cohort study. BMC Nephrology 2015;16(1)
    CrossRef
  63. Tyler NS, Mosquera-Lopez CM, Wilson LM, Dodier RH, Branigan DL, Gabo VB, Guillot FH, Hilts WW, El Youssef J, Castle JR, Jacobs PG. An artificial intelligence decision support system for the management of type 1 diabetes. Nature Metabolism 2020;2(7):612
    CrossRef
  64. Santoro E, Castelnuovo G, Zoppis I, Mauri G, Sicurello F. Social media and mobile applications in chronic disease prevention and management. Frontiers in Psychology 2015;6
    CrossRef
  65. Garabedian LF, Ross-Degnan D, Wharam JF. Mobile Phone and Smartphone Technologies for Diabetes Care and Self-Management. Current Diabetes Reports 2015;15(12)
    CrossRef
  66. Cho J, Kim SJ. Factors of Leading the Adoption of Diet/Exercise Apps on Smartphones: Application of Channel Expansion Theory. Journal of Internet Computing and Services 2015;16(1):101
    CrossRef
  67. LoPresti MA, Abraham ME, Appelboom G, Bruyère O, Slomian J, Reginster J, Connolly ES. Clinical Trials Using Mobile Health Applications. Pharmaceutical Medicine 2015;29(1):17
    CrossRef
  68. Nguyen E, Bugno L, Kandah C, Plevinsky J, Poulopoulos N, Wojtowicz A, Schneider KL, Greenley RN. Is There a Good App for That? Evaluating m-Health Apps for Strategies That Promote Pediatric Medication Adherence. Telemedicine and e-Health 2016;22(11):929
    CrossRef
  69. Shen C, Hsu C, Chou C, Tsai T. Toward a Nationwide Mobile-Based Public Healthcare Service System with Wireless Sensor Networks. Mobile Information Systems 2016;2016:1
    CrossRef
  70. Lalloo C, Shah U, Birnie KA, Davies-Chalmers C, Rivera J, Stinson J, Campbell F. Commercially Available Smartphone Apps to Support Postoperative Pain Self-Management: Scoping Review. JMIR mHealth and uHealth 2017;5(10):e162
    CrossRef
  71. Khader A, Ballout G, Shahin Y, Hababeh M, Farajallah L, Zeidan W, Abu‐Zayed I, Kochi A, Harries AD, Zachariah R, Kapur A, Shaikh I, Seita A. What happens to Palestine refugees with diabetes mellitus in a primary healthcare centre in Jordan who fail to attend a quarterly clinic appointment?. Tropical Medicine & International Health 2014;19(3):308
    CrossRef
  72. Martinez M, Park SB, Maison I, Mody V, Soh LS, Parihar HS. iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence. JMIR Diabetes 2017;2(2):e12
    CrossRef
  73. Offringa R, Sheng T, Parks L, Clements M, Kerr D, Greenfield MS. 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
    CrossRef
  74. Hu EA, Nguyen V, Langheier J, Shurney D. Weight Reduction Through a Digital Nutrition and Food Purchasing Platform Among Users With Obesity: Longitudinal Study. Journal of Medical Internet Research 2020;22(9):e19634
    CrossRef
  75. Jo S, Park H. Development and Evaluation of a Smartphone Application for Managing Gestational Diabetes Mellitus. Healthcare Informatics Research 2016;22(1):11
    CrossRef
  76. Tchero H, Kangambega P, Briatte C, Brunet-Houdard S, Retali G, Rusch E. Clinical Effectiveness of Telemedicine in Diabetes Mellitus: A Meta-Analysis of 42 Randomized Controlled Trials. Telemedicine and e-Health 2019;25(7):569
    CrossRef
  77. Macis S, Loi D, Ulgheri A, Pani D, Solinas G, Manna SL, Cestone V, Guerri D, Raffo L. Design and Usability Assessment of a Multi-Device SOA-Based Telecare Framework for the Elderly. IEEE Journal of Biomedical and Health Informatics 2020;24(1):268
    CrossRef
  78. Humble JR, Tolley EA, Krukowski RA, Womack CR, Motley TS, Bailey JE. Use of and interest in mobile health for diabetes self-care in vulnerable populations. Journal of Telemedicine and Telecare 2016;22(1):32
    CrossRef
  79. Lewis TL, Wyatt JC. mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use. Journal of Medical Internet Research 2014;16(9):e210
    CrossRef
  80. Nkoy FL, Hofmann MG, Stone BL, Poll J, Clark L, Fassl BA, Murphy NA. Information needs for designing a home monitoring system for children with medical complexity. International Journal of Medical Informatics 2019;122:7
    CrossRef
  81. Tyler NS, Jacobs PG. Artificial Intelligence in Decision Support Systems for Type 1 Diabetes. Sensors 2020;20(11):3214
    CrossRef
  82. Calbimonte J, Ranvier J, Dubosson F, Aberer K, Bikakis A, Stavropoulos TG, Meditskos G. Semantic representation and processing of hypoglycemic events derived from wearable sensor data. Journal of Ambient Intelligence and Smart Environments 2017;9(1):97
    CrossRef
  83. 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
    CrossRef
  84. Williams JP, Schroeder D. Popular Glucose Tracking Apps and Use of mHealth by Latinos With Diabetes: Review. JMIR mHealth and uHealth 2015;3(3):e84
    CrossRef
  85. Lee SWH, Ooi L, Lai YK. Telemedicine for the Management of Glycemic Control and Clinical Outcomes of Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Studies. Frontiers in Pharmacology 2017;8
    CrossRef
  86. Anderson K, Burford O, Emmerton L. App Chronic Disease Checklist: Protocol to Evaluate Mobile Apps for Chronic Disease Self-Management. JMIR Research Protocols 2016;5(4):e204
    CrossRef
  87. Anderson K, Burford O, Emmerton L, van Ooijen PM. Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences. PLOS ONE 2016;11(5):e0156164
    CrossRef
  88. Choi HJ, Lee E. The Effects of Smartphone Application to Educate Patient on Patient Safety in Hospitalized Surgical Patients. Korean Journal of Adult Nursing 2017;29(2):154
    CrossRef
  89. Timpel P, Cesena FHY, da Silva Costa C, Soldatelli MD, Gois E, Castrillon E, Díaz LJJ, Repetto GM, Hagos F, Castillo Yermenos RE, Pacheco-Barrios K, Musallam W, Braid Z, Khidir N, Romo Guardado M, Roepke RML. Efficacy of gamification-based smartphone application for weight loss in overweight and obese adolescents: study protocol for a phase II randomized controlled trial. Therapeutic Advances in Endocrinology and Metabolism 2018;9(6):167
    CrossRef
  90. Anderson K, Emmerton LM. Contribution of mobile health applications to self-management by consumers: review of published evidence. Australian Health Review 2016;40(5):591
    CrossRef
  91. Abedtash H, Holden RJ. Systematic review of the effectiveness of health-related behavioral interventions using portable activity sensing devices (PASDs). Journal of the American Medical Informatics Association 2017;24(5):1002
    CrossRef
  92. Hartz J, Yingling L, Powell-Wiley TM. Use of Mobile Health Technology in the Prevention and Management of Diabetes Mellitus. Current Cardiology Reports 2016;18(12)
    CrossRef
  93. Shen C, Wang MP, Chu JT, Wan A, Viswanath K, Chan SSC, Lam TH. Health App Possession Among Smartphone or Tablet Owners in Hong Kong: Population-Based Survey. JMIR mHealth and uHealth 2017;5(6):e77
    CrossRef
  94. Zhang M, Cheow E, Ho CS, Ng BY, Ho R, Cheok CCS. Application of Low-Cost Methodologies for Mobile Phone App Development. JMIR mHealth and uHealth 2014;2(4):e55
    CrossRef
  95. Yun YH, Kang E, Cho YM, Park SM, Kim Y, Lee H, Kim KH, Lee K, Koo HY, Kim S, Rhee Y, Lee J, Min JH, Sim J. Efficacy of an Electronic Health Management Program for Patients With Cardiovascular Risk: Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(1):e15057
    CrossRef
  96. Venuto DD, Annese VF, Mezzina G, Scioscia F, Ruta M, Sciascio ED, Vincentelli AS. A Mobile Health System for Neurocognitive Impairment Evaluation Based on P300 Detection. ACM Transactions on Cyber-Physical Systems 2018;2(4):1
    CrossRef
  97. Rasekaba TM, Lim K, Blackberry I, Gray K, Furler J. Telemedicine for Gestational Diabetes Mellitus (TeleGDM): A Mixed-Method Study Protocol of Effects of a Web-Based GDM Support System on Health Service Utilization, Maternal and Fetal Outcomes, Costs, and User Experience. JMIR Research Protocols 2016;5(3):e163
    CrossRef
  98. Ghaderi M, Farahani MA, Hajiha N, Ghaffari F, Haghani H. The role of smartphone-based education on the risk perception of type 2 diabetes in women with gestational diabetes. Health and Technology 2019;9(5):829
    CrossRef
  99. Feigerlová E, Oussalah A, Zuily S, Sordet S, Braun M, Guéant J, Guerci B. E‐health education interventions on HbA1c in patients with type 1 diabetes on intensive insulin therapy: A systematic review and meta‐analysis of randomized controlled trials. Diabetes/Metabolism Research and Reviews 2020;36(6)
    CrossRef
  100. Lindhiem O, Bennett CB, Rosen D, Silk J. Mobile Technology Boosts the Effectiveness of Psychotherapy and Behavioral Interventions. Behavior Modification 2015;39(6):785
    CrossRef
  101. Su D, Zhou J, Kelley MS, Michaud TL, Siahpush M, Kim J, Wilson F, Stimpson JP, Pagán JA. Does telemedicine improve treatment outcomes for diabetes? A meta-analysis of results from 55 randomized controlled trials. Diabetes Research and Clinical Practice 2016;116:136
    CrossRef
  102. Kankanhalli A, Shin J, Oh H. Mobile-Based Interventions for Dietary Behavior Change and Health Outcomes: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11312
    CrossRef
  103. Bonoto BC, de Araújo VE, Godói IP, de Lemos LLP, Godman B, Bennie M, Diniz LM, Junior AAG. Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2017;5(3):e4
    CrossRef
  104. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894
    CrossRef
  105. David SK, Rafiullah MRM. Innovative health informatics as an effective modern strategy in diabetes management: a critical review. International Journal of Clinical Practice 2016;70(6):434
    CrossRef
  106. Adu MD, Malabu UH, Malau-Aduli AEO, Malau-Aduli BS. The development of My Care Hub Mobile-Phone App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes. Scientific Reports 2020;10(1)
    CrossRef
  107. Priesterroth L, Grammes J, Holtz K, Reinwarth A, Kubiak T. Gamification and Behavior Change Techniques in Diabetes Self-Management Apps. Journal of Diabetes Science and Technology 2019;13(5):954
    CrossRef
  108. . Using Interactive 3D Game Play to Make Complex Medical Knowledge More Accessible. Procedia Computer Science 2014;29:354
    CrossRef
  109. Veazie S, Winchell K, Gilbert J, Paynter R, Ivlev I, Eden KB, 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
    CrossRef
  110. Ghahramani F, Wang J. Impact of Smartphones on Quality of Life: A Health Information Behavior Perspective. Information Systems Frontiers 2020;22(6):1275
    CrossRef
  111. Farris KB, Salgado TM, Batra P, Piette JD, Singh S, Guhad A, Newman S, Marshall VD, An L. Confirming the theoretical structure of expert-developed text messages to improve adherence to anti-hypertensive medications. Research in Social and Administrative Pharmacy 2016;12(4):578
    CrossRef
  112. Yang Q, Van Stee SK. The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review. JMIR mHealth and uHealth 2019;7(4):e11244
    CrossRef
  113. Park J, Noh G. The Effects of Interactivity on User Experience and Intention to use in Mobile Fitness App Game. Journal of Korea Game Society 2015;15(6):17
    CrossRef
  114. Osborn CY, van Ginkel JR, Rodbard D, Heyman M, Marrero DG, Huddleston B, Dachis J. One Drop | Mobile: An Evaluation of Hemoglobin A1c Improvement Linked to App Engagement. JMIR Diabetes 2017;2(2):e21
    CrossRef
  115. Dharma KK, Parellangi . Use of mobile-stroke risk scale and lifestyle guidance promote healthy lifestyles and decrease stroke risk factors. International Journal of Nursing Sciences 2020;7(4):401
    CrossRef
  116. 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
    CrossRef
  117. Whitehead L, Seaton P. The Effectiveness of Self-Management Mobile Phone and Tablet Apps in Long-term Condition Management: A Systematic Review. Journal of Medical Internet Research 2016;18(5):e97
    CrossRef
  118. Kabir MF, Schulman D, Abdullah AS. Promoting Relational Agent for Health Behavior Change in Low and Middle - Income Countries (LMICs): Issues and Approaches. Journal of Medical Systems 2019;43(7)
    CrossRef
  119. Menon A, Fatehi F, Ding H, Bird D, Karunanithi M, Gray L, Russell A. Outcomes of a feasibility trial using an innovative mobile health programme to assist in insulin dose adjustment. BMJ Health & Care Informatics 2019;26(1):e100068
    CrossRef
  120. . Manuscripts Reviewed for the 2014 Yearbook. Diabetes Technology & Therapeutics 2015;17(S1):S-134
    CrossRef
  121. Goyal S, Nunn CA, Rotondi M, Couperthwaite AB, Reiser S, Simone A, Katzman DK, Cafazzo JA, Palmert MR. A Mobile App for the Self-Management of Type 1 Diabetes Among Adolescents: A Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(6):e82
    CrossRef
  122. . Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544
    CrossRef
  123. Cho J, Park D, Lee HE. Cognitive Factors of Using Health Apps: Systematic Analysis of Relationships Among Health Consciousness, Health Information Orientation, eHealth Literacy, and Health App Use Efficacy. Journal of Medical Internet Research 2014;16(5):e125
    CrossRef
  124. Payne HE, Lister C, West JH, Bernhardt JM. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20
    CrossRef
  125. Peng W, Kanthawala S, Yuan S, Hussain SA. A qualitative study of user perceptions of mobile health apps. BMC Public Health 2016;16(1)
    CrossRef
  126. Clements MA, Staggs VS. A Mobile App for Synchronizing Glucometer Data: Impact on Adherence and Glycemic Control Among Youths With Type 1 Diabetes in Routine Care. Journal of Diabetes Science and Technology 2017;11(3):461
    CrossRef
  127. Lee DY, Park J, Choi D, Ahn H, Park S, Park C. The effectiveness, reproducibility, and durability of tailored mobile coaching on diabetes management in policyholders: A randomized, controlled, open-label study. Scientific Reports 2018;8(1)
    CrossRef
  128. Chen Y, Yang L, Zhang M, Yang J. Central or peripheral? Cognition elaboration cues’ effect on users’ continuance intention of mobile health applications in the developing markets. International Journal of Medical Informatics 2018;116:33
    CrossRef
  129. Triantafyllidis AK, Velardo C, Salvi D, Shah SA, Koutkias VG, Tarassenko L. A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare. IEEE Journal of Biomedical and Health Informatics 2017;21(1):218
    CrossRef
  130. Park SK, Bang CH, Lee SH. Evaluating the effect of a smartphone app-based self-management program for people with COPD: A randomized controlled trial. Applied Nursing Research 2020;52:151231
    CrossRef
  131. Tao D, Wang T, Wang T, Liu S, Qu X. Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials. Journal of the American Medical Informatics Association 2017;24(5):1014
    CrossRef
  132. Dunsmuir D, Wu H, Sun T, West NC, Lauder GR, Görges M, Ansermino JM. A Postoperative Pain Management Mobile App (Panda) for Children at Home After Discharge: Usability and Feasibility. JMIR Perioperative Medicine 2019;2(2):e12305
    CrossRef
  133. Chhabra HS, 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
    CrossRef
  134. Brzan PP, Rotman E, Pajnkihar M, Klanjsek P. Mobile Applications for Control and Self Management of Diabetes: A Systematic Review. Journal of Medical Systems 2016;40(9)
    CrossRef
  135. Sunil Kumar D, Prakash B, Subhash Chandra B, Kadkol PS, Arun V, Thomas JJ, Kulkarni P, Gopi A, Murthy MN. Technological innovations to improve health outcome in type 2 diabetes mellitus: A randomized controlled study. Clinical Epidemiology and Global Health 2021;9:53
    CrossRef
  136. Blasco MA, Svider PF, Tenbrunsel T, Vellaichamy G, Yoo GH, Fribley AM, Raza SN. Recent trends in oropharyngeal cancer funding and public interest. The Laryngoscope 2017;127(6):1345
    CrossRef
  137. Kuo C, Su Y, Lin C. A systematic review and meta‐analysis: Effectiveness of internet empowerment‐based self‐management interventions on adults with metabolic diseases. Journal of Advanced Nursing 2018;74(8):1787
    CrossRef
  138. Dolan PT, Afaneh C, Dakin G, Pomp A, Yeo HL. Lessons Learned From Developing a Mobile App to Assist in Patient Recovery After Weight Loss Surgery. Journal of Surgical Research 2019;244:402
    CrossRef
  139. Sadanshiv M, Jeyaseelan L, Kirupakaran H, Sonwani V, Sudarsanam TD. Feasibility of computer-generated telephonic message-based follow-up system among healthcare workers with diabetes: a randomized controlled trial. BMJ Open Diabetes Research & Care 2020;8(1):e001237
    CrossRef
  140. Chiu LYL, Sun T, Ree R, Dunsmuir D, Dotto A, Ansermino JM, Yarnold C. The evaluation of smartphone versions of the visual analogue scale and numeric rating scale as postoperative pain assessment tools: a prospective randomized trial. Canadian Journal of Anesthesia/Journal canadien d'anesthésie 2019;66(6):706
    CrossRef
  141. Skrzypecki J, Stańska K, Grabska‐liberek I. Patient‐oriented mobile applications in ophthalmology. Clinical and Experimental Optometry 2019;102(2):180
    CrossRef
  142. Lee H, Uhm KE, Cheong IY, Yoo JS, Chung SH, Park YH, Lee JY, Hwang JH. Patient Satisfaction with Mobile Health (mHealth) Application for Exercise Intervention in Breast Cancer Survivors. Journal of Medical Systems 2018;42(12)
    CrossRef
  143. Volkova E, Li N, Dunford E, Eyles H, Crino M, Michie J, Ni Mhurchu C. “Smart” RCTs: Development of a Smartphone App for Fully Automated Nutrition-Labeling Intervention Trials. JMIR mHealth and uHealth 2016;4(1):e23
    CrossRef
  144. Angelini S, Alicastro GM, Dionisi S, Di Muzio M. Structure and Characteristics of Diabetes Self-management Applications. CIN: Computers, Informatics, Nursing 2019;37(7):340
    CrossRef
  145. Whitehead LC, Crowe MT, Carter JD, Maskill VR, Carlyle D, Bugge C, Frampton CMA. A nurse‐led education and cognitive behaviour therapy‐based intervention among adults with uncontrolled type 2 diabetes: A randomised controlled trial. Journal of Evaluation in Clinical Practice 2017;23(4):821
    CrossRef
  146. Triantafyllidis A, Kondylakis H, Votis K, Tzovaras D, Maglaveras N, Rahimi K. Features, outcomes, and challenges in mobile health interventions for patients living with chronic diseases: A review of systematic reviews. International Journal of Medical Informatics 2019;132:103984
    CrossRef
  147. Lee DY, Yoo S, Min KP, Park C. Effect of Voluntary Participation on Mobile Health Care in Diabetes Management: Randomized Controlled Open-Label Trial. JMIR mHealth and uHealth 2020;8(9):e19153
    CrossRef
  148. Buck HG, Shadmi E, Topaz M, Sockolow PS. An integrative review and theoretical examination of chronic illness mHealth studies using the Middle‐Range Theory of Self‐care of Chronic Illness. Research in Nursing & Health 2021;44(1):47
    CrossRef
  149. Alessa T, S Hawley M, Alsulamy N, de Witte L. Using a Commercially Available App for the Self-Management of Hypertension: Acceptance and Usability Study in Saudi Arabia. JMIR mHealth and uHealth 2021;9(2):e24177
    CrossRef
  150. Gao S, Kaudimba KK, Cai J, Tong Y, Tian Q, Liu P, Liu T, Chen P, Wang R. A Mobile Phone App-Based Tai Chi Training in Parkinson's Disease: Protocol for a Randomized Controlled Study. Frontiers in Neurology 2021;11
    CrossRef
  151. Huang F, Wu X, Xie Y, Liu F, Li J, Li X, Zhou Z. An automated structured education intervention based on a smartphone app in Chinese patients with type 1 diabetes: a protocol for a single-blinded randomized controlled trial. Trials 2020;21(1)
    CrossRef
  152. Tokosi TO, Twum-Darko M. Mobile Health Crowdsensing (MHCS) Intervention on Chronic Disease Awareness: Protocol for a Systematic Review. JMIR Research Protocols 2021;10(3):e24589
    CrossRef
  153. . The crossroads of digital phenotyping. General Hospital Psychiatry 2022;74:126
    CrossRef
  154. Abd-alrazaq AA, Suleiman N, Baagar K, Jandali N, Alhuwail D, Abdalhakam I, Shahbal S, Abou-Samra A, Househ M. Patients and healthcare workers experience with a mobile application for self-management of diabetes in Qatar: A qualitative study. Computer Methods and Programs in Biomedicine Update 2021;1:100002
    CrossRef
  155. Eberle C, Löhnert M, Stichling S. Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review. JMIR mHealth and uHealth 2021;9(2):e23477
    CrossRef
  156. Rose C, Nichols T, Hackner D, Chang J, Straube S, Jooste W, Sawe H, Tenner A. Utilizing Lean Software Methods To Improve Acceptance of Global eHealth Initiatives: Results From the Implementation of the Basic Emergency Care App. JMIR Formative Research 2021;5(5):e14851
    CrossRef
  157. Xu Y, Xu L, Zhao W, Li Q, Li M, Lu W, Zeng H, Yan J, Yang D, Wu W, Weng J, Pan J, Liu F. Effectiveness of a WeChat Combined Continuous Flash Glucose Monitoring System on Glycemic Control in Juvenile Type 1 Diabetes Mellitus Management: Randomized Controlled Trial. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2021;Volume 14:1085
    CrossRef
  158. Johnson AJ, Palit S, Terry EL, Thompson OJ, Powell-Roach K, Dyal BW, Ansell M, Booker SQ. Managing osteoarthritis pain with smart technology: a narrative review. Rheumatology Advances in Practice 2021;5(1)
    CrossRef
  159. Kim M, Choi HJ. Digital Therapeutics for Obesity and Eating-Related Problems. Endocrinology and Metabolism 2021;36(2):220
    CrossRef
  160. Maharaj A, Lim D, Murphy R, Serlachius A. Comparing Two Commercially Available Diabetes Apps to Explore Challenges in User Engagement: Randomized Controlled Feasibility Study. JMIR Formative Research 2021;5(6):e25151
    CrossRef
  161. Lee E, Yun J, Cha S, Lim S, Lee J, Ahn Y, Yoon K, Ko S. Personalized Type 2 Diabetes Management Using a Mobile Application Integrated with Electronic Medical Records: An Ongoing Randomized Controlled Trial. International Journal of Environmental Research and Public Health 2021;18(10):5300
    CrossRef
  162. Shelby T, Zhou X, Barber D, Altice F. Acceptability of an mHealth App That Provides Harm Reduction Services Among People Who Inject Drugs: Survey Study. Journal of Medical Internet Research 2021;23(7):e25428
    CrossRef
  163. Valente PSDMC, Carneiro CLB, de Aguiar RGP, de Souza Júnior FEA, Maciel AA, Marçal E, Barbosa Neto JDP, Ribeiro JC. Development and usability evaluation of an application for patients with glaucoma. International Ophthalmology 2021;41(10):3419
    CrossRef
  164. 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
    CrossRef
  165. XU H, YUAN Y, YANG L, TAKASHI E, KITAYAMA A. Effect of a traditional Chinese medicine theory-based mobile app on improving symptoms in patients with type 2 diabetes mellitus: A randomized controlled trial. Journal of Integrative Nursing 2021;3(3):97
    CrossRef
  166. Hosseini A, Jackson AC, Chegini N, Dehghan MF, Mazloum D, Haghani S, Bahramnezhad F. The effect of an educational app on hemodialysis patients’ self-efficacy and self-care: A quasi-experimental longitudinal study. Chronic Illness 2023;19(2):383
    CrossRef
  167. Yoon S, Ng JH, Kwan YH, Low LL. Healthcare Professionals’ Views of Factors Influencing Diabetes Self-Management and the Utility of a mHealth Application and Its Features to Support Self-Care. Frontiers in Endocrinology 2022;13
    CrossRef
  168. Abdulhussein D, Abdul Hussein M, Szymanka M, Farag S. A systematic review of the current availability of mobile applications in eyecare practices. European Journal of Ophthalmology 2023;33(2):754
    CrossRef
  169. Nkhoma DE, Soko CJ, Bowrin P, Manga YB, Greenfield D, Househ M, Li (Jack) Y, Iqbal U. Digital interventions self-management education for type 1 and 2 diabetes: A systematic review and meta-analysis. Computer Methods and Programs in Biomedicine 2021;210:106370
    CrossRef
  170. Bassi G, Mancinelli E, Dell’Arciprete G, Rizzi S, Gabrielli S, Salcuni S. Efficacy of eHealth Interventions for Adults with Diabetes: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2021;18(17):8982
    CrossRef
  171. Udsen FW, Hangaard S, Bender C, Andersen J, Kronborg T, Vestergaard P, Hejlesen O, Laursen S. The Effectiveness of Telemedicine Solutions in Type 1 Diabetes Management: A Systematic Review and Meta-analysis. Journal of Diabetes Science and Technology 2023;17(3):782
    CrossRef
  172. Schmidt M, Lu J, Luo W, Cheng L, Lee M, Huang R, Weng Y, Kichler JC, Corathers SD, Jacobsen LM, Albanese-O′Neill A, Smith L, Westen S, Gutierrez-Colina AM, Heckaman L, Wetter SE, Driscoll KA, Modi A. Learning experience design of an mHealth self-management intervention for adolescents with type 1 diabetes. Educational technology research and development 2022;70(6):2171
    CrossRef
  173. Hou C, Carter B, Hewitt J, Francisa T, Mayor S. Do Mobile Phone Applications Improve Glycemic Control (HbA1c) in the Self-management of Diabetes? A Systematic Review, Meta-analysis, and GRADE of 14 Randomized Trials. Diabetes Care 2016;39(11):2089
    CrossRef
  174. . Patient Satisfaction with Telemedicine in Adults with Diabetes: A Systematic Review. Healthcare 2022;10(9):1677
    CrossRef
  175. Davidson P, LaManna J, Davis J, Ojeda MM, Hyer S, Dickinson JK, Todd A, Hammons TM, Mohammed Fahim S, McDaniel CC, McKee CA, Clements JN, Yehl K, Litchman ML, Blanchette JE, Kavookjian J. The Effects of Diabetes Self-Management Education on Quality of Life for Persons With Type 1 Diabetes: A Systematic Review of Randomized Controlled Trials. The Science of Diabetes Self-Management and Care 2022;48(2):111
    CrossRef
  176. Nkoy F, Stone B, Hofmann M, Fassl B, Zhu A, Mahtta N, Murphy N. Home-Monitoring Application for Children With Medical Complexity: A Feasibility Trial. Hospital Pediatrics 2021;11(5):492
    CrossRef
  177. Sun C, Malcolm JC, Wong B, Shorr R, Doyle M. Improving Glycemic Control in Adults and Children With Type 1 Diabetes With the Use of Smartphone-Based Mobile Applications: A Systematic Review. Canadian Journal of Diabetes 2019;43(1):51
    CrossRef
  178. 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
    CrossRef
  179. 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
    CrossRef
  180. Han W, Han X, Zhou S, Zhu Q. The Development History and Research Tendency of Medical Informatics: Topic Evolution Analysis. JMIR Medical Informatics 2022;10(1):e31918
    CrossRef
  181. YEKE S, SELÇUK AG. COVID-19 SÜRECİNDE MOBİL SAĞLIK UYGULAMALARI: HES UYGULAMASINA YÖNELİK KRİTİK BAŞARI FAKTÖRLERİ ANALİZİ. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi 2022;12(4):1887
    CrossRef
  182. Shetty VB, Soon WHK, Roberts AG, Fried L, Roby HC, Smith GJ, Fournier PA, Jones TW, Davis EA. A Novel Mobile Health App to Educate and Empower Young People With Type 1 Diabetes to Exercise Safely: Prospective Single-Arm Mixed Methods Pilot Study. JMIR Diabetes 2021;6(4):e29739
    CrossRef
  183. Yao B, Chen Y, Yang H. Constrained Markov Decision Process Modeling for Optimal Sensing of Cardiac Events in Mobile Health. IEEE Transactions on Automation Science and Engineering 2022;19(2):1017
    CrossRef
  184. de Sequeira S, Presseau J, Booth GL, Lipscombe LL, Perkins I, Perkins BA, Shulman R, Lakhanpal G, Ivers N. Implementation Plan for a High-Frequency, Low-Touch Care Model at Specialized Type 1 Diabetes Clinics: Model Development. JMIR Diabetes 2022;7(4):e37715
    CrossRef
  185. McCarthy MM, Grey M. Type 1 Diabetes Self-Management From Emerging Adulthood Through Older Adulthood. Diabetes Care 2018;41(8):1608
    CrossRef
  186. Ghaderi M, Farahani MA, Balouchi A, Haghani H. The effect of smartphone-based education on self-efficacy of women with gestational diabetes: A controlled clinical trial. Romanian Journal of Military Medicine 2022;125(2):330
    CrossRef
  187. 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)
    CrossRef
  188. Alessa T, Hawley M, de Witte L. Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study. JMIR mHealth and uHealth 2021;9(11):e29207
    CrossRef
  189. Sockolow PS, Buck HG, Shadmi E. An integrative review of chronic illness mHealth self-care interventions: Mapping technology features to patient outcomes. Health Informatics Journal 2021;27(3):146045822110439
    CrossRef
  190. Scaratti M, Argenta C, Xavier de Almeida W, Argenta Zanatta E. Mobile application resources to selfcare and selfmanagement of type i diabetes mellitus: integrative review / Recursos de aplicativos móveis para autocuidado e autogerenciamento do diabetes mellitus tipo i: revisão integrativa. Revista de Pesquisa Cuidado é Fundamental Online 2021;13:1374
    CrossRef
  191. Stephen DA, 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)
    CrossRef
  192. Tobón DP, Hossain MS, Muhammad G, Bilbao J, Saddik AE. Deep learning in multimedia healthcare applications: a review. Multimedia Systems 2022;28(4):1465
    CrossRef
  193. Cheng CF, Werner NE, Doutcheva N, Warner G, Barton HJ, Kelly MM, Ehlenbach ML, Wagner T, Finesilver S, Katz BJ, Nacht C, Coller RJ. Codesign and Usability Testing of a Mobile Application to Support Family-Delivered Enteral Tube Care. Hospital Pediatrics 2020;10(8):641
    CrossRef
  194. Dorell , Konradsen H, Kallström AP, Kabir ZN, Papa F. “A friend during troubled times”: Experiences of family caregivers to persons with dementia when receiving professional support via a mobile app. PLOS ONE 2022;17(8):e0271972
    CrossRef
  195. Nwolise CH, Carey N, Shawe J. Preconception and Diabetes Information (PADI) App for Women with Pregestational Diabetes: a Feasibility and Acceptability Study. Journal of Healthcare Informatics Research 2021;5(4):446
    CrossRef
  196. Luo J, White-Means S. Evaluating the Potential Use of Smartphone Apps for Diabetes Self-Management in an Underserved Population: A Qualitative Approach. International Journal of Environmental Research and Public Health 2021;18(18):9886
    CrossRef
  197. Zhu T, Li K, Herrero P, Georgiou P. Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning. IEEE Transactions on Biomedical Engineering 2023;70(1):193
    CrossRef
  198. Knoetze M, Mahomed-Asmail F, Manchaiah V, Swanepoel DW. Sound-level Monitoring Earphones With Smartphone Feedback as an Intervention to Promote Healthy Listening Behaviors in Young Adults. Ear & Hearing 2021;42(5):1173
    CrossRef
  199. 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)
    CrossRef
  200. Liu Z, Wang C, Yang D, Luo S, Ding Y, Xu W, Zheng X, Weng J, Yan J. High engagement in mobile peer support is associated with better glycemic control in type 1 diabetes: A real‐world study. Journal of Diabetes Investigation 2022;13(11):1914
    CrossRef
  201. Farfan-Ruiz AC, Czikk D, Leidecker J, Ramsay T, McCormick B, Wilson K, Zimmerman D. Multidisciplinary Team versus a “Phosphate-Counting” App for Serum Phosphate Control: A Randomized Controlled Trial. Kidney360 2021;2(2):290
    CrossRef
  202. Geldsetzer P, Flores S, Wang G, Flores B, Rogers AB, Bunker A, Chang AY, Tisdale R. A Systematic Review of Healthcare Provider-Targeted Mobile Applications to Screen for, Diagnose, or Monitor Non-Communicable Diseases in Low- and Middle-Income Countries. SSRN Electronic Journal 2021;
    CrossRef
  203. Tan T, Shih J, Liu S, Alkhaleefah M, Chang Y, Gochoo M. Using a Hybrid Neural Network and a Regularized Extreme Learning Machine for Human Activity Recognition with Smartphone and Smartwatch. Sensors 2023;23(6):3354
    CrossRef
  204. Ye G, Wang C, Wu C, Peng Z, Wei J, Song X, Tan Q, Wu L. Research frontier detection and analysis based on research grants information: A case study on health informatics in the US. Journal of Informetrics 2023;17(3):101421
    CrossRef
  205. 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
    CrossRef
  206. Konnyu KJ, Yogasingam S, Lépine J, Sullivan K, Alabousi M, Edwards A, Hillmer M, Karunananthan S, Lavis JN, Linklater S, Manns BJ, Moher D, Mortazhejri S, Nazarali S, Paprica PA, Ramsay T, Ryan PM, Sargious P, Shojania KG, Straus SE, Tonelli M, Tricco A, Vachon B, Yu CH, Zahradnik M, Trikalinos TA, Grimshaw JM, Ivers N. Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes. Cochrane Database of Systematic Reviews 2023;2023(6)
    CrossRef
  207. Lin YK, Aikens JE, de Zoysa N, Hall D, Funnell M, Nwankwo R, Kloss K, DeJonckheere MJ, Pop-Busui R, Piatt GA, Amiel SA, Piette JD. 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
    CrossRef
  208. Tang TS, Seddigh S, Halbe E, Vesco AT. Testing 3 Digital Health Platforms to Improve Mental Health Outcomes in Adults With Type 1 Diabetes: A Pilot Trial. Canadian Journal of Diabetes 2024;48(1):18
    CrossRef
  209. Chee A, Abdel-Rasoul M, Zoretich K, Diaz K, Noria SF. Bariatric Patient Engagement in a Pre-surgery Virtual Patient Navigation Platform (VPNP). Obesity Surgery 2023;33(9):2770
    CrossRef
  210. Kapur R, Kumar Y, Sharma S, Rastogi V, Sharma S, Kanwar V, Sharma T, Bhavsar A, Dutt V. DiabeticSense: A Non-Invasive, Multi-Sensor, IoT-Based Pre-Diagnostic System for Diabetes Detection Using Breath. Journal of Clinical Medicine 2023;12(20):6439
    CrossRef
  211. Ruissen MM, Torres-Peña JD, Uitbeijerse BS, Arenas de Larriva AP, Huisman SD, Namli T, Salzsieder E, Vogt L, Ploessnig M, van der Putte B, Merle A, Serra G, Rodríguez G, de Graaf AA, de Koning EJP, Delgado-Lista J, Sont JK. Clinical impact of an integrated e-health system for diabetes self-management support and shared decision making (POWER2DM): a randomised controlled trial. Diabetologia 2023;66(12):2213
    CrossRef
  212. Kerimaa H, Hakala M, Haapea M, Vähänikkilä H, Serlo W, He H, Pölkki T. Effectiveness of a Mobile App Intervention for Preparing Preschool Children and Parents for Day Surgery: Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e46989
    CrossRef
  213. Lee DE, Lee H, Cheon CK, Yoon JY. Healthcare coaching program for youth with type 1 diabetes in South Korea: a pilot study. Child Health Nursing Research 2024;30(1):17
    CrossRef
  214. Ullman AJ, Gibson V, Kleidon TM, Binnewies S, Ohira R, Marsh N, McBride C, Winterbourn K, Boyte F, Cunninghame J, Roberts N, XU G, Takashima M, Cooke M, Rickard CM, Byrnes J, Larsen E. An mHealth application for chronic vascular access: Consumer led co-creation. Journal of Pediatric Nursing 2024;76:68
    CrossRef
  215. Karimi F, Amoozgar Z, Reiazi R, Hosseinzadeh M, Rawassizadeh R. Longitudinal analysis of heart rate and physical activity collected from smartwatches. CCF Transactions on Pervasive Computing and Interaction 2024;6(1):18
    CrossRef
  216. Omelyanovskiy VV, Fediaeva VK. Clinical-economic evaluation of distance education and blood glucose level monitoring in adults with diabetes mellitus. Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice 2024;(4):25
    CrossRef
  217. 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2588):

  1. Subramaniam S, Dhillon JS, Ahmad MS, Leong JWS, Teoh C. Recent Trends in Information and Communication Technology. 2018. Chapter 64:616
    CrossRef
  2. . Handbuch der Gesundheitskommunikation. 2019. Chapter 17:209
    CrossRef
  3. Ajčević M, De Dea F, Barbieri G, Accardo A. World Congress on Medical Physics and Biomedical Engineering 2018. 2019. Chapter 88:475
    CrossRef
  4. . Emotions, Technology, and Health. 2016. :41
    CrossRef
  5. Seçkin G, Kahana E. Encyclopedia of Mobile Phone Behavior. 2015. chapter 73:898
    CrossRef
  6. . Handbuch Gesundheitskommunikation. 2016. Chapter 17-1:1
    CrossRef
  7. . e-Health Systems. 2016. :227
    CrossRef
  8. Massana J, Torrent-Fontbona F, López B. Diabetes: from Research to Clinical Practice. 2020. Chapter 482:331
    CrossRef
  9. Medina-Moreira J, Apolinario O, Luna-Aveiga H, Lagos-Ortiz K, Paredes-Valverde MA, Valencia-García R. Technologies and Innovation. 2017. Chapter 5:60
    CrossRef
  10. Andreadis II, Nikita KS. Cardiovascular Computing—Methodologies and Clinical Applications. 2019. Chapter 13:261
    CrossRef
  11. Cruz-Ramos NA, Alor-Hernández G, Sánchez-Cervantes JL, Paredes-Valverde MA, Salas-Zárate MDP. Exploring Intelligent Decision Support Systems. 2018. Chapter 7:135
    CrossRef
  12. Lindhiem O, Harris JL. Technology and Adolescent Mental Health. 2018. Chapter 18:255
    CrossRef
  13. David SK, Rafiullah M. Case Study of Innovative Projects - Successful Real Cases. 2017. Chapter 12
    CrossRef
  14. . M‐Health: Fundamentals and Applications. 2016. :189
    CrossRef
  15. . Pragmatic Randomized Clinical Trials. 2021. :413
    CrossRef