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Citing this Article

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Published on 22.09.11 in Vol 13, No 3 (2011): Jul-Sep

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

Works citing "Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines"

Taridzo Chomutare, Luis Fernandez-Luque, Eirik Årsand, Gunnar Hartvigsen

J Med Internet Res 2011 (Sep 22); 13(3):e65 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1874):

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

  1. Kirwan M, Duncan MJ, Vandelanotte C, Mummery WK. Using Smartphone Technology to Monitor Physical Activity in the 10,000 Steps Program: A Matched Case–Control Trial. Journal of Medical Internet Research 2012;14(2):e55
    CrossRef
  2. Gardsten C, Blomqvist K, Rask M, Larsson , Lindberg A, Olsson G. Challenges in everyday life among recently diagnosed and more experienced adults with type 2 diabetes: A multistage focus group study. Journal of Clinical Nursing 2018;27(19-20):3666
    CrossRef
  3. Berntsen G, Hasvold PE. Ny teknologi gir ny pasientrolle. Tidsskrift for Den norske legeforening 2015;135(9):828
    CrossRef
  4. Cohen DJ, Keller SR, Hayes GR, Dorr DA, Ash JS, Sittig DF. Integrating Patient-Generated Health Data Into Clinical Care Settings or Clinical Decision-Making: Lessons Learned From Project HealthDesign. JMIR Human Factors 2016;3(2):e26
    CrossRef
  5. Chen J, Lieffers J, Bauman A, Hanning R, Allman‐Farinelli M. The use of smartphone health apps and other mobile health (mHealth) technologies in dietetic practice: a three country study. Journal of Human Nutrition and Dietetics 2017;30(4):439
    CrossRef
  6. Lieffers JRL, Hanning RM. Dietary Assessment and Self-monitoring: With Nutrition Applications for Mobile Devices. Canadian Journal of Dietetic Practice and Research 2012;73(3):e253
    CrossRef
  7. Fernández-Luque L, Bau T. Health and Social Media: Perfect Storm of Information. Healthcare Informatics Research 2015;21(2):67
    CrossRef
  8. Okazaki S, Castañeda JA, Sanz S, Henseler J. Factors Affecting Mobile Diabetes Monitoring Adoption Among Physicians: Questionnaire Study and Path Model. Journal of Medical Internet Research 2012;14(6):e183
    CrossRef
  9. Bock BC, Rosen RK, Barnett NP, Thind H, Walaska K, Foster R, Deutsch C, Traficante R. Translating Behavioral Interventions Onto mHealth Platforms: Developing Text Message Interventions for Smoking and Alcohol. JMIR mHealth and uHealth 2015;3(1):e22
    CrossRef
  10. Gkatzidou V, Hone K, Sutcliffe L, Gibbs J, Sadiq ST, Szczepura A, Sonnenberg P, Estcourt C. User interface design for mobile-based sexual health interventions for young people: Design recommendations from a qualitative study on an online Chlamydia clinical care pathway. BMC Medical Informatics and Decision Making 2015;15(1)
    CrossRef
  11. Athilingam P, Osorio RE, Kaplan H, Oliver D, O’neachtain T, Rogal PJ. Embedding Patient Education in Mobile Platform for Patients With Heart Failure. CIN: Computers, Informatics, Nursing 2016;34(2):92
    CrossRef
  12. Pandher PS, Bhullar KK. Smartphone applications for seizure management. Health Informatics Journal 2016;22(2):209
    CrossRef
  13. 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
  14. 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
  15. Aleo CL, Hark L, Leiby B, Dai Y, Murchison AP, Martinez P, Haller JA. Ophthalmic Patients' Utilization of Technology and Social Media: An Assessment to Improve Quality of Care. Telemedicine and e-Health 2014;20(10):887
    CrossRef
  16. Kassianos A, Emery J, Murchie P, Walter F. Smartphone applications for melanoma detection by community, patient and generalist clinician users: a review. British Journal of Dermatology 2015;172(6):1507
    CrossRef
  17. Yoo S, Jung SY, Kim S, Kim E, Lee K, Chung E, Hwang H. A personalized mobile patient guide system for a patient-centered smart hospital: Lessons learned from a usability test and satisfaction survey in a tertiary university hospital. International Journal of Medical Informatics 2016;91:20
    CrossRef
  18. Thomas S, Pulman A, Thomas P, Collard S, Jiang N, Dogan H, Davies Smith A, Hourihan S, Roberts F, Kersten P, Pretty K, Miller JK, Stanley K, Gay M. Digitizing a Face-to-Face Group Fatigue Management Program: Exploring the Views of People With Multiple Sclerosis and Health Care Professionals Via Consultation Groups and Interviews. JMIR Formative Research 2019;3(2):e10951
    CrossRef
  19. Luo D, Wang P, Lu F, Elias J, Sparks JA, Lee YC. Mobile Apps for Individuals With Rheumatoid Arthritis. JCR: Journal of Clinical Rheumatology 2019;25(3):133
    CrossRef
  20. Adu MD, Malabu UH, Malau-Aduli AEO, Drovandi A, Malau-Aduli BS. Efficacy and Acceptability of My Care Hub Mobile App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes. International Journal of Environmental Research and Public Health 2020;17(7):2573
    CrossRef
  21. . When Patients Interact with EHRs: Problems of Privacy and Confidentiality. SSRN Electronic Journal 2012;
    CrossRef
  22. García-Sáez G, Rigla M, Martínez-Sarriegui I, Shalom E, Peleg M, Broens T, Pons B, Caballero-Ruíz E, Gómez EJ, Hernando ME. Patient-oriented Computerized Clinical Guidelines for Mobile Decision Support in Gestational Diabetes. Journal of Diabetes Science and Technology 2014;8(2):238
    CrossRef
  23. Fu H, McMahon SK, Gross CR, Adam TJ, Wyman JF. Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review. Diabetes Research and Clinical Practice 2017;131:70
    CrossRef
  24. Eghdam A, Scholl J, Bartfai A, Koch S. Information and Communication Technology to Support Self-management of Patients with Mild Acquired Cognitive Impairments: Systematic Review. Journal of Medical Internet Research 2012;14(6):e159
    CrossRef
  25. Sebillo M, Tortora G, Tucci M, Vitiello G, Ginige A, Di Giovanni P. Combining personal diaries with territorial intelligence to empower diabetic patients. Journal of Visual Languages & Computing 2015;29:1
    CrossRef
  26. 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
  27. Boels AM, Rutten G, Zuithoff N, de Wit A, Vos R. Effectiveness of diabetes self-management education via a smartphone application in insulin treated type 2 diabetes patients – design of a randomised controlled trial (‘TRIGGER study’). BMC Endocrine Disorders 2018;18(1)
    CrossRef
  28. . Value and Utility of Self-Monitoring of Blood Glucose in Non-Insulin-Treated Patients With Type 2 Diabetes Mellitus. Postgraduate Medicine 2013;125(3):191
    CrossRef
  29. Huckvale K, Adomaviciute S, Prieto JT, Leow MK, Car J. Smartphone apps for calculating insulin dose: a systematic assessment. BMC Medicine 2015;13(1)
    CrossRef
  30. Valinsky L, Mishali M, Endevelt R, Preiss R, Dopelt K, Heymann AD. Reducing resistance to treatment, through group intervention, improves clinical measurements in patients with type 2 diabetes. BMC Endocrine Disorders 2013;13(1)
    CrossRef
  31. Reyes I, Ellis T, Yoder A, Keifer MC. An Evaluation Tool for Agricultural Health and Safety Mobile Applications. Journal of Agromedicine 2016;21(4):301
    CrossRef
  32. Ouhbi S, Fernández-Alemán JL, Toval A, Idri A, Pozo JR. Free Blood Donation Mobile Applications. Journal of Medical Systems 2015;39(5)
    CrossRef
  33. Lister C, West JH, Richards R, Crookston B, Hall PC, Redelfs AH. Technology for health: A qualitative study on barriers to using the iPad for diet change. Health 2013;05(04):761
    CrossRef
  34. Al-Ramahi MA, Liu J, El-Gayar OF. Discovering Design Principles for Health Behavioral Change Support Systems. ACM Transactions on Management Information Systems 2017;8(2-3):1
    CrossRef
  35. Deerochanawong C, Bajpai S, Dwipayana IMP, Hussein Z, Mabunay MA, Rosales R, Tsai S, Tsang MW. Optimizing Glycemic Control Through Titration of Insulin Glargine 100 U/mL: A Review of Current and Future Approaches with a Focus on Asian Populations. Diabetes Therapy 2017;8(6):1197
    CrossRef
  36. Wu YP, Hommel KA. Using Technology to Assess and Promote Adherence to Medical Regimens in Pediatric Chronic Illness. The Journal of Pediatrics 2014;164(4):922
    CrossRef
  37. 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
  38. Arens-Volland AG, Spassova L, Bohn T. Promising approaches of computer-supported dietary assessment and management—Current research status and available applications. International Journal of Medical Informatics 2015;84(12):997
    CrossRef
  39. Lister C, West JH, Cannon B, Sax T, Brodegard D. Just a Fad? Gamification in Health and Fitness Apps. JMIR Serious Games 2014;2(2):e9
    CrossRef
  40. Heo J, Chun M, Lee KY, Oh Y, Noh OK, Park RW. Effects of a Smartphone Application on Breast Self-Examination: A Feasibility Study. Healthcare Informatics Research 2013;19(4):250
    CrossRef
  41. . Promoting individual health using information technology: Trends in the US health system. Health Education Journal 2016;75(6):744
    CrossRef
  42. Kang K, Kim S, Kang SR, Lee S, Kim YY, Ellis KW. Development and Preliminary Testing of a Smartphone-Based Injury-Prevention Application (S-IPA) for Teachers at Child-Care Centers in South Korea. Journal of Community Health Nursing 2017;34(3):147
    CrossRef
  43. Ahmed I, Ahmad NS, Ali S, Ali S, George A, Saleem Danish H, Uppal E, Soo J, Mobasheri MH, King D, Cox B, Darzi A. Medication Adherence Apps: Review and Content Analysis. JMIR mHealth and uHealth 2018;6(3):e62
    CrossRef
  44. Lancaster K, Abuzour A, Khaira M, Mathers A, Chan A, Bui V, Lok A, Thabane L, Dolovich L. The Use and Effects of Electronic Health Tools for Patient Self-Monitoring and Reporting of Outcomes Following Medication Use: Systematic Review. Journal of Medical Internet Research 2018;20(12):e294
    CrossRef
  45. Agboola S, Jethwani K, Lopez L, Searl M, O’Keefe S, Kvedar J. Text to Move: A Randomized Controlled Trial of a Text-Messaging Program to Improve Physical Activity Behaviors in Patients With Type 2 Diabetes Mellitus. Journal of Medical Internet Research 2016;18(11):e307
    CrossRef
  46. Ribu L, Holmen H, Torbjørnsen A, Wahl AK, Grøttland A, Småstuen MC, Elind E, Bergmo TS, Breivik E, Årsand E. Low-Intensity Self-Management Intervention for Persons With Type 2 Diabetes Using a Mobile Phone-Based Diabetes Diary, With and Without Health Counseling and Motivational Interviewing: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2013;2(2):e34
    CrossRef
  47. Wang W, Zhang H, Lopez V, Wu VX, Poo DCC, Kowitlawakul Y. Improving awareness, knowledge and heart‐related lifestyle of coronary heart disease among working population through a mHealth programme: study protocol. Journal of Advanced Nursing 2015;71(9):2200
    CrossRef
  48. Kim G, Bae JC, Yi BK, Hur KY, Chang DK, Lee M, Kim JH, Jin S. An information and communication technology-based centralized clinical trial to determine the efficacy and safety of insulin dose adjustment education based on a smartphone personal health record application: a randomized controlled trial. BMC Medical Informatics and Decision Making 2017;17(1)
    CrossRef
  49. Wang W, Seah B, Jiang Y, Lopez V, Tan C, Lim ST, Ren H, Khoo YH. A randomized controlled trial on a nurse‐led smartphone‐based self‐management programme for people with poorly controlled type 2 diabetes: A study protocol. Journal of Advanced Nursing 2018;74(1):190
    CrossRef
  50. Georga EI, Protopappas VC, Bellos CV, Fotiadis DI. Wearable systems and mobile applications for diabetes disease management. Health and Technology 2014;4(2):101
    CrossRef
  51. Puig J, Echeverría P, Lluch T, Herms J, Estany C, Bonjoch A, Ornelas A, París D, Loste C, Sarquella M, Clotet B, Negredo E. A Specific Mobile Health Application for Older HIV-Infected Patients: Usability and Patient's Satisfaction. Telemedicine and e-Health 2021;27(4):432
    CrossRef
  52. Tóth T, Dinya E. Feasibility of tailored patient education. Orvosi Hetilap 2013;154(11):403
    CrossRef
  53. Yee L, Taylor S, Young M, Williams M, Niznik C, Simon M. Evaluation of a Text Messaging Intervention to Support Self-Management of Diabetes During Pregnancy Among Low-Income, Minority Women: Qualitative Study. JMIR Diabetes 2020;5(3):e17794
    CrossRef
  54. 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
  55. Tamony P, Holt R, Barnard K. The Role of Mobile Applications in Improving Alcohol Health Literacy in Young Adults With Type 1 Diabetes. Journal of Diabetes Science and Technology 2015;9(6):1313
    CrossRef
  56. 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
  57. Scott IA, Scuffham P, Gupta D, Harch TM, Borchi J, Richards B. Going digital: a narrative overview of the effects, quality and utility of mobile apps in chronic disease self-management. Australian Health Review 2020;44(1):62
    CrossRef
  58. . Improved Outcomes from Diabetes Monitoring: The Benefits of Better Adherence, Therapy Adjustments, Patient Education, and Telemedicine Support. Journal of Diabetes Science and Technology 2012;6(3):486
    CrossRef
  59. Plow M, Golding M. Using mHealth Technology in a Self-Management Intervention to Promote Physical Activity Among Adults With Chronic Disabling Conditions: Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(12):e185
    CrossRef
  60. Garcia-Zapirain B, de la Torre Díez I, Sainz de Abajo B, López-Coronado M. Development, Technical, and User Evaluation of a Web Mobile Application for Self-Control of Diabetes. Telemedicine and e-Health 2016;22(9):778
    CrossRef
  61. Alvarado MM, Kum H, Gonzalez Coronado K, Foster MJ, Ortega P, Lawley MA. Barriers to Remote Health Interventions for Type 2 Diabetes: A Systematic Review and Proposed Classification Scheme. Journal of Medical Internet Research 2017;19(2):e28
    CrossRef
  62. Guo SH, Chang H, Lin C. Impact of Mobile Diabetes Self-Care System on patients’ knowledge, behavior and efficacy. Computers in Industry 2015;69:22
    CrossRef
  63. Nie L, Xie B, Yang Y, Shan YM. Characteristics of Chinese m-Health Applications for Diabetes Self-Management. Telemedicine and e-Health 2016;22(7):614
    CrossRef
  64. McCurdie T, Taneva S, Casselman M, Yeung M, McDaniel C, Ho W, Cafazzo J. mHealth Consumer Apps: The Case for User-Centered Design. Biomedical Instrumentation & Technology 2012;46(s2):49
    CrossRef
  65. Talwar D, Yeh Y, Chen W, Chen L. Characteristics and quality of genetics and genomics mobile apps: a systematic review. European Journal of Human Genetics 2019;27(6):833
    CrossRef
  66. Direito A, Pfaeffli Dale L, Shields E, Dobson R, Whittaker R, Maddison R. Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques?. BMC Public Health 2014;14(1)
    CrossRef
  67. Seabrook HJ, Stromer JN, Shevkenek C, Bharwani A, de Grood J, Ghali WA. Medical applications: a database and characterization of apps in Apple iOS and Android platforms. BMC Research Notes 2014;7(1)
    CrossRef
  68. Dennison L, Morrison L, Conway G, Yardley L. Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior change: Qualitative Study. Journal of Medical Internet Research 2013;15(4):e86
    CrossRef
  69. McCulloch V, Hope S, Loranger B, Rea P. How to effectively design and create a concept mobile application to aid in the management of type 1 diabetes in adolescents. Journal of Visual Communication in Medicine 2017;40(3):101
    CrossRef
  70. den Braber N, Vollenbroek-Hutten M, Oosterwijk M, Gant C, Hagedoorn I, van Beijnum B, Hermens H, Laverman G. Requirements of an Application to Monitor Diet, Physical Activity and Glucose Values in Patients with Type 2 Diabetes: The Diameter. Nutrients 2019;11(2):409
    CrossRef
  71. 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
    CrossRef
  72. West JH, Hall PC, Hanson CL, Barnes MD, Giraud-Carrier C, Barrett J. There’s an App for That: Content Analysis of Paid Health and Fitness Apps. Journal of Medical Internet Research 2012;14(3):e72
    CrossRef
  73. Lieffers JR, Vance VA, Hanning RM. Use of Mobile Device Applications In Canadian Dietetic Practice. Canadian Journal of Dietetic Practice and Research 2014;75(1):41
    CrossRef
  74. 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
  75. Khalifian S, Markman T, Sampognaro P, Mitchell S, Weeks S, Dattilo J. Medical Student Appraisal. Applied Clinical Informatics 2013;04(01):53
    CrossRef
  76. Chung K, Kim J, Han J. Activity-based nutrition management model for healthcare using similar group analysis. Technology and Health Care 2019;27(5):473
    CrossRef
  77. Skrøvseth SO, Årsand E, Godtliebsen F, Joakimsen RM. Data-Driven Personalized Feedback to Patients with Type 1 Diabetes: A Randomized Trial. Diabetes Technology & Therapeutics 2015;17(7):482
    CrossRef
  78. Castelnuovo G, Zoppis I, Santoro E, Ceccarini M, Pietrabissa G, Manzoni GM, Corti S, Borrello M, Giusti EM, Cattivelli R, Melesi A, Mauri G, Molinari E, Sicurello F. Managing chronic pathologies with a stepped mHealth-based approach in clinical psychology and medicine. Frontiers in Psychology 2015;06
    CrossRef
  79. Hood M, Wilson R, Corsica J, Bradley L, Chirinos D, Vivo A. What do we know about mobile applications for diabetes self-management? A review of reviews. Journal of Behavioral Medicine 2016;39(6):981
    CrossRef
  80. Parmanto B, Pramana G, Yu DX, Fairman AD, Dicianno BE, McCue MP. iMHere: A Novel mHealth System for Supporting Self-Care in Management of Complex and Chronic Conditions. JMIR mhealth and uhealth 2013;1(2):e10
    CrossRef
  81. 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
  82. Yetisen AK, Martinez-Hurtado JL, da Cruz Vasconcellos F, Simsekler MCE, Akram MS, Lowe CR. The regulation of mobile medical applications. Lab on a Chip 2014;14(5):833
    CrossRef
  83. Crane D, Garnett C, Brown J, West R, Michie S. Behavior Change Techniques in Popular Alcohol Reduction Apps. Journal of Medical Internet Research 2015;17(5):e118
    CrossRef
  84. Daugherty BL, Schap TE, Ettienne-Gittens R, Zhu FM, Bosch M, Delp EJ, Ebert DS, Kerr DA, Boushey CJ. Novel Technologies for Assessing Dietary Intake: Evaluating the Usability of a Mobile Telephone Food Record Among Adults and Adolescents. Journal of Medical Internet Research 2012;14(2):e58
    CrossRef
  85. Albanese-O’Neill A, Schatz DA, Bernhardt JM, Elder JH. Educational Needs and Technological Preferences of Fathers of Youth With Type 1 Diabetes. The Diabetes Educator 2016;42(2):209
    CrossRef
  86. Rusin M, Årsand E, Hartvigsen G. Functionalities and input methods for recording food intake: A systematic review. International Journal of Medical Informatics 2013;82(8):653
    CrossRef
  87. Sindi S, Calov E, Fokkens J, Ngandu T, Soininen H, Tuomilehto J, Kivipelto M. The CAIDE Dementia Risk Score App: The development of an evidence‐based mobile application to predict the risk of dementia. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2015;1(3):328
    CrossRef
  88. Mayer MA, Rodríguez Blanco O, Torrejon A. Use of Health Apps by Nurses for Professional Purposes: Web-Based Survey Study. JMIR mHealth and uHealth 2019;7(11):e15195
    CrossRef
  89. Demidowich AP, Lu K, Tamler R, Bloomgarden Z. An evaluation of diabetes self-management applications for Android smartphones. Journal of Telemedicine and Telecare 2012;18(4):235
    CrossRef
  90. Leviton A, Oppenheimer J, Chiujdea M, Antonetty A, Ojo OW, Garcia S, Weas S, Fleegler E, Chan E, Loddenkemper T. Characteristics of Future Models of Integrated Outpatient Care. Healthcare 2019;7(2):65
    CrossRef
  91. 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
  92. Castelnuovo G, Manzoni GM, Pietrabissa G, Corti S, Giusti EM, Molinari E, Simpson S. Obesity and outpatient rehabilitation using mobile technologies: the potential mHealth approach. Frontiers in Psychology 2014;5
    CrossRef
  93. Depp CA, Ceglowski J, Wang VC, Yaghouti F, Mausbach BT, Thompson WK, Granholm EL. Augmenting psychoeducation with a mobile intervention for bipolar disorder: A randomized controlled trial. Journal of Affective Disorders 2015;174:23
    CrossRef
  94. Moshi MR, Tooher R, Merlin T. SUITABILITY OF CURRENT EVALUATION FRAMEWORKS FOR USE IN THE HEALTH TECHNOLOGY ASSESSMENT OF MOBILE MEDICAL APPLICATIONS: A SYSTEMATIC REVIEW. International Journal of Technology Assessment in Health Care 2018;34(5):464
    CrossRef
  95. Baum RA, Epstein JN, Kelleher K. Healthcare Reform, Quality, and Technology: ADHD as a Case Study. Current Psychiatry Reports 2013;15(7)
    CrossRef
  96. Baron JS, Hirani S, Newman SP. A randomised, controlled trial of the effects of a mobile telehealth intervention on clinical and patient-reported outcomes in people with poorly controlled diabetes. Journal of Telemedicine and Telecare 2017;23(2):207
    CrossRef
  97. Klaassen R, Bul K, op den Akker R, van der Burg G, Kato P, Di Bitonto P. Design and Evaluation of a Pervasive Coaching and Gamification Platform for Young Diabetes Patients. Sensors 2018;18(2):402
    CrossRef
  98. Bender JL, Yue RYK, To MJ, Deacken L, Jadad AR. A Lot of Action, But Not in the Right Direction: Systematic Review and Content Analysis of Smartphone Applications for the Prevention, Detection, and Management of Cancer. Journal of Medical Internet Research 2013;15(12):e287
    CrossRef
  99. Fernandez-Luque L, Labarta JI, Palmer E, Koledova E. Content Analysis of Apps for Growth Monitoring and Growth Hormone Treatment: Systematic Search in the Android App Store. JMIR mHealth and uHealth 2020;8(2):e16208
    CrossRef
  100. Ahmad FS, Tsang T. Diabetes Prevention, Health Information Technology, and Meaningful Use. American Journal of Preventive Medicine 2013;44(4):S357
    CrossRef
  101. Bellei EA, Biduski D, Lisboa HRK, De Marchi ACB. Development and Assessment of a Mobile Health Application for Monitoring the Linkage Among Treatment Factors of Type 1 Diabetes Mellitus. Telemedicine and e-Health 2020;26(2):205
    CrossRef
  102. Alencar DDC, Carvalho DBF, Silva PRV. Online support of virtual communities to diabetes mellitus carrier: bibliometric review. Revista de Pesquisa Cuidado é Fundamental Online 2020;:1208
    CrossRef
  103. Zhang Z, Monro J, Venn B. Carbohydrate Knowledge and Expectations of Nutritional Support among Five Ethnic Groups Living in New Zealand with Pre- and Type 2 Diabetes: A Qualitative Study. Nutrients 2018;10(9):1225
    CrossRef
  104. Pavlas J, Krejcar O, Maresova P, Selamat A. Prototypes of User Interfaces for Mobile Applications for Patients with Diabetes. Computers 2018;8(1):1
    CrossRef
  105. Boels AM, Vos RC, Metzendorf M, Rutten GE. Diabetes self-management education and support delivered by mobile health (m-health) interventions for adults with type 2 diabetes mellitus. Cochrane Database of Systematic Reviews 2017;
    CrossRef
  106. Fiordelli M, Diviani N, Schulz PJ. Mapping mHealth Research: A Decade of Evolution. Journal of Medical Internet Research 2013;15(5):e95
    CrossRef
  107. Nes AA, van Dulmen S, Eide E, Finset A, Kristjánsdóttir B, Steen IS, Eide H. The development and feasibility of a web-based intervention with diaries and situational feedback via smartphone to support self-management in patients with diabetes type 2. Diabetes Research and Clinical Practice 2012;97(3):385
    CrossRef
  108. Wright CJC, Dietze PM, Lim MSC. Beyond Basic Feedback in Mobile Brief Interventions: Designing SMS Message Content for Delivery to Young Adults During Risky Drinking Events. JMIR mHealth and uHealth 2017;5(6):e79
    CrossRef
  109. . The outcomes and influencing factors of telecare managing patients with type 2 diabetes. Chinese Nursing Research 2015;2(2-3):80
    CrossRef
  110. Stiglic G, Pajnkihar M, Li D. Evaluation of Major Online Diabetes Risk Calculators and Computerized Predictive Models. PLOS ONE 2015;10(11):e0142827
    CrossRef
  111. Plaza I, Demarzo MMP, Herrera-Mercadal P, García-Campayo J. Mindfulness-Based Mobile Applications: Literature Review and Analysis of Current Features. JMIR mhealth and uhealth 2013;1(2):e24
    CrossRef
  112. Fallah M, Niakan Kalhori SR. Systematic Review of Data Mining Applications in Patient-Centered Mobile-Based Information Systems. Healthcare Informatics Research 2017;23(4):262
    CrossRef
  113. Jimenez G, Lum E, Huang Z, Theng YL, Boehm BO, Car J. Reminders for medication adherence in Type 2 diabetes management apps. Journal of Pharmacy Practice and Research 2020;50(1):78
    CrossRef
  114. Kirwan M, Vandelanotte C, Fenning A, Duncan MJ. Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(11):e235
    CrossRef
  115. 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
  116. Issom D, Woldaregay AZ, Chomutare T, Bradway M, Årsand E, Hartvigsen G. Mobile applications for people with diabetes published between 2010 and 2015. Diabetes Management 2015;5(6):539
    CrossRef
  117. Odeh B, Kayyali R, Nabhani-Gebara S, Philip N. Optimizing cancer care through mobile health. Supportive Care in Cancer 2015;23(7):2183
    CrossRef
  118. Brandell B, Ford C. Diabetes Professionals Must Seize the Opportunity in Mobile Health. Journal of Diabetes Science and Technology 2013;7(6):1616
    CrossRef
  119. Nguyen AD, Baysari MT, Kannangara DR, Tariq A, Lau AY, Westbrook JI, Day RO. Mobile applications to enhance self-management of gout. International Journal of Medical Informatics 2016;94:67
    CrossRef
  120. Brown HM, Bucher T, Collins CE, Rollo ME. A review of pregnancy iPhone apps assessing their quality, inclusion of behaviour change techniques, and nutrition information. Maternal & Child Nutrition 2019;15(3)
    CrossRef
  121. Taki S, Russell CG, Wen LM, Laws RA, Campbell K, Xu H, Denney-Wilson E. Consumer Engagement in Mobile Application (App) Interventions Focused on Supporting Infant Feeding Practices for Early Prevention of Childhood Obesity. Frontiers in Public Health 2019;7
    CrossRef
  122. Tsui I, Drexler A, Stanton AL, Kageyama J, Ngo E, Straatsma BR. Pilot Study Using Mobile Health to Coordinate the Diabetic Patient, Diabetologist, and Ophthalmologist. Journal of Diabetes Science and Technology 2014;8(4):845
    CrossRef
  123. St. George SM, Delamater AM, Pulgaron ER, Daigre A, Sanchez J. Access to and Interest in Using Smartphone Technology for the Management of Type 1 Diabetes in Ethnic Minority Adolescents and Their Parents. Diabetes Technology & Therapeutics 2016;18(2):104
    CrossRef
  124. Salari R, Niakan Kalhori SR, Fatehi F, Ghazisaeedi M, Nazari M. Determining minimum set of features for diabetes mobile apps. Journal of Diabetes & Metabolic Disorders 2019;18(2):333
    CrossRef
  125. Jiang Y, Jiao N, Nguyen HD, Lopez V, Wu VX, Kowitlawakul Y, Poo DCC, Wang W. Effect of a mHealth programme on coronary heart disease prevention among working population in Singapore: A single group pretest–post‐test design. Journal of Advanced Nursing 2019;75(9):1922
    CrossRef
  126. Turner JW, Robinson JD, Tian Y, Neustadtl A, Angelus P, Russell M, Mun SK, Levine B. Can Messages Make a Difference? The Association Between E-Mail Messages and Health Outcomes in Diabetes Patients. Human Communication Research 2013;39(2):252
    CrossRef
  127. Frøisland DH, Årsand E, Skårderud F. Improving Diabetes Care for Young People With Type 1 Diabetes Through Visual Learning on Mobile Phones: Mixed-Methods Study. Journal of Medical Internet Research 2012;14(4):e111
    CrossRef
  128. Shen Y, Wang F, Zhang X, Zhu X, Sun Q, Fisher E, Sun X. Effectiveness of Internet-Based Interventions on Glycemic Control in Patients With Type 2 Diabetes: Meta-Analysis of Randomized Controlled Trials. Journal of Medical Internet Research 2018;20(5):e172
    CrossRef
  129. Mitzner TL, McBride SE, Barg-Walkow LH, Rogers WA. Self-Management of Wellness and Illness in an Aging Population. Reviews of Human Factors and Ergonomics 2013;8(1):277
    CrossRef
  130. Dicianno BE, Parmanto B, Fairman AD, Crytzer TM, Yu DX, Pramana G, Coughenour D, Petrazzi AA. Perspectives on the Evolution of Mobile (mHealth) Technologies and Application to Rehabilitation. Physical Therapy 2015;95(3):397
    CrossRef
  131. Theng Y, Lee JW, Patinadan PV, Foo SS. The Use of Videogames, Gamification, and Virtual Environments in the Self-Management of Diabetes: A Systematic Review of Evidence. Games for Health Journal 2015;4(5):352
    CrossRef
  132. Gabarrón E, Fernández-Luque L. eSalud y vídeos online para la promoción de la salud. Gaceta Sanitaria 2012;26(3):197
    CrossRef
  133. Quan J, Lee AK, Handley MA, Ratanawongsa N, Sarkar U, Tseng S, Schillinger D. Automated Telephone Self-Management Support for Diabetes in a Low-Income Health Plan: A Health Care Utilization and Cost Analysis. Population Health Management 2015;18(6):412
    CrossRef
  134. Hartvigsen G, Årsand E, Hejlesen OK, Nesbitt T. Could mobile diabetes management systems revolutionize patient care?. Diabetes Management 2012;2(3):181
    CrossRef
  135. Rossi MG, Bigi S. Weak Educational Components in mHealth Devices for Diabetes Support Available on the Italian Market. Journal of Diabetes Science and Technology 2016;10(5):1199
    CrossRef
  136. 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
  137. . La salud 2.0, los blogs y las revistas científicas. Revista de Calidad Asistencial 2014;29(1):1
    CrossRef
  138. Vuong AM, Huber JC, Bolin JN, Ory MG, Moudouni DM, Helduser J, Begaye D, Bonner TJ, Forjuoh SN. Factors Affecting Acceptability and Usability of Technological Approaches to Diabetes Self-Management: A Case Study. Diabetes Technology & Therapeutics 2012;14(12):1178
    CrossRef
  139. 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
  140. Thomas JG, Wing RR. Health-E-Call, a Smartphone-Assisted Behavioral Obesity Treatment: Pilot Study. JMIR mhealth and uhealth 2013;1(1):e3
    CrossRef
  141. Xu W, Liu Y. mHealthApps: A Repository and Database of Mobile Health Apps. JMIR mHealth and uHealth 2015;3(1):e28
    CrossRef
  142. Gao C, Zhou L, Liu Z, Wang H, Bowers B. Mobile application for diabetes self-management in China: Do they fit for older adults?. International Journal of Medical Informatics 2017;101:68
    CrossRef
  143. Sugiharto S, Hsu Y. The Diabetes Self-Care Calendar for people with type 2 diabetes mellitus in rural Indonesia: a pilot study. Journal of Research in Nursing 2020;25(6-7):594
    CrossRef
  144. Cai X, Qiu S, Luo D, Wang L, Lu Y, Li M. Mobile Application Interventions and Weight Loss in Type 2 Diabetes: A Meta‐Analysis. Obesity 2020;28(3):502
    CrossRef
  145. Agarwal P, Mukerji G, Desveaux L, Ivers NM, Bhattacharyya O, Hensel JM, Shaw J, Bouck Z, Jamieson T, Onabajo N, Cooper M, Marani H, Jeffs L, Bhatia RS. Mobile App for Improved Self-Management of Type 2 Diabetes: Multicenter Pragmatic Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(1):e10321
    CrossRef
  146. Tozzi AE, Carloni E, Gesualdo F, Russo L, Raponi M. Attitude of Families of Patients with Genetic Diseases to Use m-Health Technologies. Telemedicine and e-Health 2015;21(2):86
    CrossRef
  147. Fischer A, Chadyiwa M, Tshuma N, Nkosi V. Acceptability of Mobile Health Interventions to Increase Diabetic Risk Factor Awareness Among the Commuter Population in Johannesburg: Descriptive Cross-Sectional Study. JMIR Diabetes 2019;4(3):e12600
    CrossRef
  148. Huckvale K, Morrison C, Ouyang J, Ghaghda A, Car J. The evolution of mobile apps for asthma: an updated systematic assessment of content and tools. BMC Medicine 2015;13(1)
    CrossRef
  149. Adu MD, Malabu UH, Malau-Aduli AEO, Malau-Aduli BS, Borsci S. Users’ preferences and design recommendations to promote engagements with mobile apps for diabetes self-management: Multi-national perspectives. PLOS ONE 2018;13(12):e0208942
    CrossRef
  150. Goyal S, Cafazzo JA. Mobile phone health apps for diabetes management: Current evidence and future developments. QJM 2013;106(12):1067
    CrossRef
  151. Tanenbaum ML, Bhatt HB, Thomas VA, Wing RR. Use of self-monitoring tools in a clinic sample of adults with type 2 diabetes. Translational Behavioral Medicine 2017;7(2):358
    CrossRef
  152. Quinn CC, Butler EC, Swasey KK, Shardell MD, Terrin MD, Barr EA, Gruber-Baldini AL. Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis. JMIR mHealth and uHealth 2018;6(2):e31
    CrossRef
  153. Jeon E, Park H. Development of the IMB Model and an Evidence-Based Diabetes Self-management Mobile Application. Healthcare Informatics Research 2018;24(2):125
    CrossRef
  154. Hearn L, Miller M, Fletcher A. Online healthy lifestyle support in the perinatal period: what do women want and do they use it?. Australian Journal of Primary Health 2013;19(4):313
    CrossRef
  155. Ayre J, Bonner C, Bramwell S, McClelland S, Jayaballa R, Maberly G, McCaffery K. Implications for GP endorsement of a diabetes app with patients from culturally diverse backgrounds: a qualitative study. Australian Journal of Primary Health 2020;26(1):52
    CrossRef
  156. Okazaki S, Castañeda JA, Sanz S, Henseler J. Physicians' appraisal of mobile health monitoring. The Service Industries Journal 2013;33(13-14):1326
    CrossRef
  157. Mirk SM, Wegrzyn NM. Apps for Health-Related Education in Pharmacy Practice: Needs Assessment Survey Among Patients Within a Large Metropolitan Area. JMIR Research Protocols 2017;6(7):e133
    CrossRef
  158. Sobnath DD, Philip N, Kayyali R, Nabhani-Gebara S, Pierscionek B, Vaes AW, Spruit MA, Kaimakamis E. Features of a Mobile Support App for Patients With Chronic Obstructive Pulmonary Disease: Literature Review and Current Applications. JMIR mHealth and uHealth 2017;5(2):e17
    CrossRef
  159. 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
  160. Bene BA, O’Connor S, Mastellos N, Majeed A, Fadahunsi KP, O’Donoghue J. Impact of mobile health applications on self-management in patients with type 2 diabetes mellitus: protocol of a systematic review. BMJ Open 2019;9(6):e025714
    CrossRef
  161. Naranjo D, Mulvaney S, McGrath M, Garnero T, Hood K. Predictors of Self-Management in Pediatric Type 1 Diabetes: Individual, Family, Systemic, and Technologic Influences. Current Diabetes Reports 2014;14(11)
    CrossRef
  162. Martínez-Pérez B, de la Torre-Díez I, López-Coronado M. Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis. Journal of Medical Internet Research 2013;15(6):e120
    CrossRef
  163. 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
  164. . Human Factors and Usability in Mobile Health Design – Factors for Sustained Patient Engagement in Diabetes Care. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2014;3(1):63
    CrossRef
  165. Goyal S, Lewis G, Yu C, Rotondi M, Seto E, Cafazzo JA. Evaluation of a Behavioral Mobile Phone App Intervention for the Self-Management of Type 2 Diabetes: Randomized Controlled Trial Protocol. JMIR Research Protocols 2016;5(3):e174
    CrossRef
  166. 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
  167. Barnard KD, Blatch-Jones A. Web-Based Management Trial of Diabetes Care. Diabetes Technology & Therapeutics 2016;18(10):605
    CrossRef
  168. Cohen DJ, Keller SR, Hayes GR, Dorr DA, Ash JS, Sittig DF. Developing a model for understanding patient collection of observations of daily living: a qualitative meta-synthesis of the Project HealthDesign program. Personal and Ubiquitous Computing 2015;19(1):91
    CrossRef
  169. Ruddock JS, Poindexter M, Gary‐Webb TL, Walker EA, Davis NJ. Innovative strategies to improve diabetes outcomes in disadvantaged populations. Diabetic Medicine 2016;33(6):723
    CrossRef
  170. Xie J, Wang Q. A personalized diet and exercise recommender system for type 1 diabetes self-management: An in silico study. Smart Health 2019;13:100069
    CrossRef
  171. Jones E, Sinclair JM, Holt RI, Barnard KD. Social Networking and Understanding Alcohol-Associated Risk for People with Type 1 Diabetes: Friend or Foe?. Diabetes Technology & Therapeutics 2013;15(4):308
    CrossRef
  172. 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
    CrossRef
  173. Heo J, Chun M, Lee HW, Woo J. Social Media Use for Cancer Education at a Community-Based Cancer Center in South Korea. Journal of Cancer Education 2018;33(4):769
    CrossRef
  174. Chen J, Cade JE, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104
    CrossRef
  175. Okazaki S, Castañeda JA, Sanz S, Mukherji P. Physicians’ motivations to use mobile health monitoring: a cross-country comparison. Behaviour & Information Technology 2016;:1
    CrossRef
  176. Singh K, Drouin K, Newmark LP, Filkins M, Silvers E, Bain PA, Zulman DM, Lee J, Rozenblum R, Pabo E, Landman A, Klinger EV, Bates DW. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 2016;4(4):e136
    CrossRef
  177. Martínez-Pérez B, de la Torre-Díez I, López-Coronado M, Sainz-De-Abajo B. Comparison of Mobile Apps for the Leading Causes of Death Among Different Income Zones: A Review of the Literature and App Stores. JMIR mhealth and uhealth 2014;2(1):e1
    CrossRef
  178. Arnhold M, Quade M, Kirch W. Mobile Applications for Diabetics: A Systematic Review and Expert-Based Usability Evaluation Considering the Special Requirements of Diabetes Patients Age 50 Years or Older. Journal of Medical Internet Research 2014;16(4):e104
    CrossRef
  179. 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
  180. Lobelo F, Kelli HM, Tejedor SC, Pratt M, McConnell MV, Martin SS, Welk GJ. The Wild Wild West: A Framework to Integrate mHealth Software Applications and Wearables to Support Physical Activity Assessment, Counseling and Interventions for Cardiovascular Disease Risk Reduction. Progress in Cardiovascular Diseases 2016;58(6):584
    CrossRef
  181. 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
  182. Garnett C, Crane D, Michie S, West R, Brown J. Evaluating the effectiveness of a smartphone app to reduce excessive alcohol consumption: protocol for a factorial randomised control trial. BMC Public Health 2016;16(1)
    CrossRef
  183. Zolezzi M, Eltorki YH, Almaamoon M, Fathy M, Omar NE. Outcomes of patient education practices to optimize the safe use of lithium: A literature review. Mental Health Clinician 2018;8(1):41
    CrossRef
  184. Şahin F, Yan Z. Mobile Phones in Data Collection. International Journal of Cyber Behavior, Psychology and Learning 2013;3(3):67
    CrossRef
  185. Tamim SR, Grant MM. Exploring how health professionals create eHealth and mHealth education interventions. Educational Technology Research and Development 2016;64(6):1053
    CrossRef
  186. Abduo H, Curtain C, Othman N. Use of Smartphone Applications for Diabetes Management in Kuwait: A Pilot Study. Journal of Consumer Health on the Internet 2020;24(2):111
    CrossRef
  187. Dehling T, Gao F, Schneider S, Sunyaev A. Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android. JMIR mHealth and uHealth 2015;3(1):e8
    CrossRef
  188. Alyami M, Giri B, Alyami H, Sundram F. Social anxiety apps: a systematic review and assessment of app descriptors across mobile store platforms. Evidence Based Mental Health 2017;20(3):65
    CrossRef
  189. Tatara N, Årsand E, Skrøvseth SO, Hartvigsen G. Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes. JMIR mHealth and uHealth 2013;1(1):e1
    CrossRef
  190. Giunti G, Kool J, Rivera Romero O, Dorronzoro Zubiete E. Exploring the Specific Needs of Persons with Multiple Sclerosis for mHealth Solutions for Physical Activity: Mixed-Methods Study. JMIR mHealth and uHealth 2018;6(2):e37
    CrossRef
  191. 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
  192. Mehdizadeh H, Asadi F, Mehrvar A, Nazemi E, Emami H. Smartphone apps to help children and adolescents with cancer and their families: a scoping review. Acta Oncologica 2019;58(7):1003
    CrossRef
  193. Mushcab H, Kernohan WG, Wallace J, Martin S. Web-Based Remote Monitoring Systems for Self-Managing Type 2 Diabetes: A Systematic Review. Diabetes Technology & Therapeutics 2015;17(7):498
    CrossRef
  194. 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
    CrossRef
  195. Taylor A, Siddiqui F. Bringing Global Health Home: The Case of Global to Local in King County, Washington. Annals of Global Health 2017;82(6):972
    CrossRef
  196. Breland JY, Yeh VM, Yu J. Adherence to evidence-based guidelines among diabetes self-management apps. Translational Behavioral Medicine 2013;3(3):277
    CrossRef
  197. Kim J, Jang H, Kim JT, Pan H, Park RC. Big-Data Based Real-Time Interactive Growth Management System in Wireless Communications. Wireless Personal Communications 2019;105(2):655
    CrossRef
  198. Lithgow K, Edwards A, Rabi D. Smartphone App Use for Diabetes Management: Evaluating Patient Perspectives. JMIR Diabetes 2017;2(1):e2
    CrossRef
  199. . Using Interactive 3D Game Play to Make Complex Medical Knowledge More Accessible. Procedia Computer Science 2014;29:354
    CrossRef
  200. 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
    CrossRef
  201. Cotter AP, Durant N, Agne AA, Cherrington AL. Internet interventions to support lifestyle modification for diabetes management: A systematic review of the evidence. Journal of Diabetes and its Complications 2014;28(2):243
    CrossRef
  202. Shen N, Levitan M, Johnson A, Bender JL, Hamilton-Page M, Jadad AR, Wiljer D. Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace. JMIR mHealth and uHealth 2015;3(1):e16
    CrossRef
  203. Holmen H, Torbjørnsen A, Wahl AK, Jenum AK, Småstuen MC, Årsand E, Ribu L. A Mobile Health Intervention for Self-Management and Lifestyle Change for Persons With Type 2 Diabetes, Part 2: One-Year Results From the Norwegian Randomized Controlled Trial RENEWING HEALTH. JMIR mHealth and uHealth 2014;2(4):e57
    CrossRef
  204. Wake DJ, He J, Czesak AM, Mughal F, Cunningham SG. MyDiabetesMyWay. Journal of Diabetes Science and Technology 2016;10(5):1050
    CrossRef
  205. 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
  206. Conway N, Campbell I, Forbes P, Cunningham S, Wake D. mHealth applications for diabetes: User preference and implications for app development. Health Informatics Journal 2016;22(4):1111
    CrossRef
  207. Goyal S, Morita P, Lewis GF, Yu C, Seto E, Cafazzo JA. The Systematic Design of a Behavioural Mobile Health Application for the Self-Management of Type 2 Diabetes. Canadian Journal of Diabetes 2016;40(1):95
    CrossRef
  208. 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
    CrossRef
  209. Giménez-Pérez G, Recasens A, Simó O, Aguas T, Suárez A, Vila M, Castells I. Use of communication technologies by people with type 1 diabetes in the social networking era. A chance for improvement. Primary Care Diabetes 2016;10(2):121
    CrossRef
  210. Li Y, Tan J, Shi B, Duan X, Zhong D, Li X, Qu J. Information and Communication Technology-Powered Diabetes Self-Management Systems in China: A Study Evaluating the Features and Requirements of Apps and Patents. JMIR Diabetes 2016;1(1):e2
    CrossRef
  211. Muralidharan S, Mohan V, Anjana RM, Jena S, Tandon N, Allender S, Ranjani H. Mobile Health Technology (mDiab) for the Prevention of Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2017;6(12):e242
    CrossRef
  212. McKay FH, Slykerman S, Dunn M. The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change. JMIR mHealth and uHealth 2019;7(1):e11130
    CrossRef
  213. Bastawrous A, Armstrong MJ. Mobile health use in low- and high-income countries: an overview of the peer-reviewed literature. Journal of the Royal Society of Medicine 2013;106(4):130
    CrossRef
  214. Pedersen PE, Nysveen H. A Brief Systematic Review of Mobile App Markets Research: User, Developer and Platform Perspectives. SSRN Electronic Journal 2018;
    CrossRef
  215. Evangelista LS, Moser DK, Lee J, Moore AA, Ghasemzadeh H, Sarrafzadeh M, Mangione CM. Examining Older Adults’ Perceptions of Usability and Acceptability of Remote Monitoring Systems to Manage Chronic Heart Failure. Gerontology and Geriatric Medicine 2015;1:233372141561805
    CrossRef
  216. Sieverdes JC, Treiber F, Jenkins C, Hermayer K. Improving Diabetes Management With Mobile Health Technology. The American Journal of the Medical Sciences 2013;345(4):289
    CrossRef
  217. Osborn CY, Mulvaney SA. Development and Feasibility of a Text Messaging and Interactive Voice Response Intervention for Low-Income, Diverse Adults with Type 2 Diabetes Mellitus. Journal of Diabetes Science and Technology 2013;7(3):612
    CrossRef
  218. Grundy Q, Held F, Bero L. A Social Network Analysis of the Financial Links Backing Health and Fitness Apps. American Journal of Public Health 2017;107(11):1783
    CrossRef
  219. Castelnuovo G, Pietrabissa G, Manzoni GM, Corti S, Ceccarini M, Borrello M, Giusti EM, Novelli M, Cattivelli R, Middleton NA, Simpson SG, Molinari E. Chronic care management of globesity: promoting healthier lifestyles in traditional and mHealth based settings. Frontiers in Psychology 2015;6
    CrossRef
  220. . Assessing quality of glycemic control: Hypo- and hyperglycemia, and glycemic variability using mobile self-monitoring of blood glucose system. Health Informatics Journal 2020;26(1):287
    CrossRef
  221. 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
  222. Skrøvseth SO, Årsand E, Godtliebsen F, Hartvigsen G. Mobile Phone-Based Pattern Recognition and Data Analysis for Patients with Type 1 Diabetes. Diabetes Technology & Therapeutics 2012;14(12):1098
    CrossRef
  223. Ali EE, Teo AKS, Goh SXL, Chew L, Yap KY. MedAd-AppQ: A quality assessment tool for medication adherence apps on iOS and android platforms. Research in Social and Administrative Pharmacy 2018;14(12):1125
    CrossRef
  224. Grindrod KA, Li M, Gates A. Evaluating User Perceptions of Mobile Medication Management Applications With Older Adults: A Usability Study. JMIR mhealth and uhealth 2014;2(1):e11
    CrossRef
  225. McDarby V, Hevey D, Cody D. An Overview of the Role of Social Network Sites in the Treatment of Adolescent Diabetes. Diabetes Technology & Therapeutics 2015;17(4):291
    CrossRef
  226. Fitzgerald M, McClelland T. What makes a mobile app successful in supporting health behaviour change?. Health Education Journal 2017;76(3):373
    CrossRef
  227. Ouhbi S, Fernández-Alemán JL, Pozo JR, Bajta ME, Toval A, Idri A. Compliance of Blood Donation Apps with Mobile OS Usability Guidelines. Journal of Medical Systems 2015;39(6)
    CrossRef
  228. 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
  229. El-Gayar O, Timsina P, Nawar N, Eid W. Mobile Applications for Diabetes Self-Management: Status and Potential. Journal of Diabetes Science and Technology 2013;7(1):247
    CrossRef
  230. McKay FH, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):22
    CrossRef
  231. 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
  232. Yee LM, Leziak K, Jackson J, Strohbach A, Saber R, Niznik CM, Simon MA. Patient and Provider Perspectives on a Novel Mobile Health Intervention for Low-Income Pregnant Women With Gestational or Type 2 Diabetes Mellitus. Journal of Diabetes Science and Technology 2021;15(5):1121
    CrossRef
  233. . Digital inclusiveness of health information websites. Universal Access in the Information Society 2020;19(1):69
    CrossRef
  234. Ming LC, Untong N, Aliudin NA, Osili N, Kifli N, Tan CS, Goh KW, Ng PW, Al-Worafi YM, Lee KS, Goh HP. Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review. JMIR mHealth and uHealth 2020;8(9):e19796
    CrossRef
  235. van Ommen B, Wopereis S, van Empelen P, van Keulen HM, Otten W, Kasteleyn M, Molema JJW, de Hoogh IM, Chavannes NH, Numans ME, Evers AWM, Pijl H. From Diabetes Care to Diabetes Cure—The Integration of Systems Biology, eHealth, and Behavioral Change. Frontiers in Endocrinology 2018;8
    CrossRef
  236. Wang W, Cheng MTM, Leong FL, Goh AWL, Lim ST, Jiang Y. The development and testing of a nurse‐led smartphone‐based self‐management programme for diabetes patients with poor glycaemic control. Journal of Advanced Nursing 2020;76(11):3179
    CrossRef
  237. Hernández-Ordoñez M, Nuño-Maganda MA, Calles-Arriaga CA, Rodríguez-León A, Ovando-Chacon GE, Salazar-Hernández R, Montaño-Rivas O, Canseco-Cortinas JM. Medical Assistant Mobile Application for Diabetes Control by Simulating a Compartmental Model. Applied Sciences 2020;10(19):6846
    CrossRef
  238. Kim MS, Khan U, Boren SA, Narindrarangkura P, Ye Q, Simoes EJ. Transforming AADE7 for Use in an Evaluation Framework for Health Information Technology in Diabetes Mellitus. Journal of Diabetes Science and Technology 2022;16(3):764
    CrossRef
  239. Kern-Goldberger AR, Srinivas SK. Telemedicine in Obstetrics. Clinics in Perinatology 2020;47(4):743
    CrossRef
  240. Baroutsou V, Hatz C, Blanke U, Haile SR, Fehr J, Neumayr A, Puhan MA, Bühler S. TOURIST2 – Tracking of urgent risks in swiss travellers to the 6 main travel destinations – Feasibility and ethical considerations of a smartphone application-based study. Travel Medicine and Infectious Disease 2021;39:101912
    CrossRef
  241. Eberle C, Stichling S, Löhnert M. Diabetology 4.0: Scoping Review of Novel Insights and Possibilities Offered by Digitalization. Journal of Medical Internet Research 2021;23(3):e23475
    CrossRef
  242. Phillips M, Page L, Straker K, Nusem E. Designing to enhance experiences through mobile-based applications for gestational diabetes mellitus. Journal of Design, Business & Society 2020;6(2):259
    CrossRef
  243. Alsalman DM, Ali ZB, Alnosaier Z, Alotaibi N, Tsiknakis M, Alanzi TM. Caregiver’s Opinions on the Design of the Screens of a Future Gamified Mobile Application for Self-Management of Type 1 Diabetes in Children in Saudi Arabia. International Journal of Telemedicine and Applications 2021;2021:1
    CrossRef
  244. Abouzari M, Goshtasbi K, Sarna B, Ghavami Y, Parker EM, Khosravi P, Mostaghni N, Jamshidi S, Saber T, Djalilian HR. Adapting Personal Therapies Using a Mobile Application for Tinnitus Rehabilitation: A Preliminary Study. Annals of Otology, Rhinology & Laryngology 2021;130(6):571
    CrossRef
  245. Gambalunga F, Iacorossi L, Notarnicola I, Serra V, Piredda M, De Marinis MG. Mobile Health in Adherence to Oral Anticancer Drugs. CIN: Computers, Informatics, Nursing 2021;39(1):17
    CrossRef
  246. Philip NY, Rodrigues JJPC, Wang H, Fong SJ, Chen J. Internet of Things for In-Home Health Monitoring Systems: Current Advances, Challenges and Future Directions. IEEE Journal on Selected Areas in Communications 2021;39(2):300
    CrossRef
  247. Mehraeen E, Mehrtak M, Janfaza N, Karimi A, Heydari M, Mirzapour P, Mehranfar A. Design and Development of a Mobile-Based Self-Care Application for Patients with Type 2 Diabetes. Journal of Diabetes Science and Technology 2022;16(4):1008
    CrossRef
  248. 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
  249. Agarwal P, Gordon D, Griffith J, Kithulegoda N, Witteman HO, Sacha Bhatia R, Kushniruk AW, Borycki EM, Lamothe L, Springall E, Shaw J. Assessing the quality of mobile applications in chronic disease management: a scoping review. npj Digital Medicine 2021;4(1)
    CrossRef
  250. Ardo J, Lee J, Hildebrand JA, Guijarro D, Ghasemazadeh H, Strömberg A, Evangelista LS. Codesign of a cardiovascular disease prevention text message bank for older adults. Patient Education and Counseling 2021;104(11):2772
    CrossRef
  251. Vázquez-de Sebastián J, Ciudin A, Castellano-Tejedor C. Analysis of Effectiveness and Psychological Techniques Implemented in mHealth Solutions for Middle-Aged and Elderly Adults with Type 2 Diabetes: A Narrative Review of the Literature. Journal of Clinical Medicine 2021;10(12):2701
    CrossRef
  252. Gemini L, Boccia Artieri G, Giglietto F, Farci M, Brilli S, Zurovac E. Ciarlatani. Post-verità, contropubblici online e nuove articolazioni della fiducia nel sistema della medicina. SALUTE E SOCIETÀ 2021;(2):201
    CrossRef
  253. Represas-Carrera FJ, Martínez-Ques A, Clavería A. Effectiveness of mobile applications in diabetic patients’ healthy lifestyles: A review of systematic reviews. Primary Care Diabetes 2021;15(5):751
    CrossRef
  254. Bohanec M, Tartarisco G, Marino F, Pioggia G, Puddu PE, Schiariti MS, Baert A, Pardaens S, Clays E, Vodopija A, Luštrek M. HeartMan DSS: A decision support system for self-management of congestive heart failure. Expert Systems with Applications 2021;186:115688
    CrossRef
  255. Nelson LA, Alfonsi SP, Lestourgeon LM, Mayberry LS. Disparities in mobile phone use among adults with type 2 diabetes participating in clinical trials 2017–2021. JAMIA Open 2022;5(4)
    CrossRef
  256. Kim Y, Lee H, Seo JM. Integrated Diabetes Self-Management Program Using Smartphone Application: A Randomized Controlled Trial. Western Journal of Nursing Research 2022;44(4):383
    CrossRef
  257. Kalenderian E, White J, Yansane A, Urata J, Holmes D, Funkhouser K, Mungia R, Xiao J, Rauschenberger C, Ibarra-Noriega A, Tran D, Rindal DB, Spallek H, Walji M. Study protocol: understanding pain after dental procedures, an observational study within the National Dental PBRN. BMC Oral Health 2022;22(1)
    CrossRef
  258. 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
  259. 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
  260. Seo J, Heidenreich S, Aldalooj E, Poon JL, Spaepen E, Eby EL, Newson RS. Patients’ Preferences for Connected Insulin Pens: A Discrete Choice Experiment Among Patients with Type 1 and Type 2 Diabetes. The Patient - Patient-Centered Outcomes Research 2023;16(2):127
    CrossRef
  261. Inaam ul haq M, Li Q, Hou J, Iftekhar A. Detecting the research structure and topic trends of social media using static and dynamic probabilistic topic models. Aslib Journal of Information Management 2023;75(2):215
    CrossRef
  262. El-Sappagh S, Ali F, El-Masri S, Kim K, Ali A, Kwak K. Mobile Health Technologies for Diabetes Mellitus: Current State and Future Challenges. IEEE Access 2019;7:21917
    CrossRef
  263. Shea B, Bakre S, Carano K, Scharen J, Langheier J, Hu EA. Changes in Glycemic Control Among Individuals With Diabetes Who Used a Personalized Digital Nutrition Platform: Longitudinal Study. JMIR Diabetes 2021;6(4):e32298
    CrossRef
  264. Selvaraj SN, Sriram A. The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model–Based Content Analysis. JMIR mHealth and uHealth 2022;10(5):e15719
    CrossRef
  265. Knisely BM, Vaughn-Cooke M, Wagner L, Fink JC. Device personalization for heterogeneous populations: leveraging physician expertise and national population data to identify medical device patient user groups. User Modeling and User-Adapted Interaction 2021;31(5):979
    CrossRef
  266. Burda V, Mráz M, Schneider J, Novák D. Managing Diabetes Using Mobiab: Long-Term Case Study of the Impact of a Mobile App on Self-management. JMIR Diabetes 2022;7(2):e36675
    CrossRef
  267. Chapel B, Alexandre F, Heraud N, Ologeanu-Taddei R, Cases A, Bughin F, Hayot M. Standardization of the assessment process within telerehabilitation in chronic diseases: a scoping meta-review. BMC Health Services Research 2022;22(1)
    CrossRef
  268. Almutairi N, Vlahu-Gjorgievska E, Win KT. Persuasive features for patient engagement through mHealth applications in managing chronic conditions: A systematic literature review and meta-analysis. Informatics for Health and Social Care 2023;48(3):267
    CrossRef
  269. Fu HNC, Wyman JF, Peden-McAlpine CJ, Draucker CB, Schleyer T, Adam TJ. 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
    CrossRef
  270. Joshua SR, Abbas W, Lee J. M-Healthcare Model: An Architecture for a Type 2 Diabetes Mellitus Mobile Application. Applied Sciences 2022;13(1):8
    CrossRef
  271. Kytö M, Koivusalo S, Ruonala A, Strömberg L, Tuomonen H, Heinonen S, Jacucci G. Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features. JMIR Human Factors 2022;9(4):e36987
    CrossRef
  272. Maskey R, Mehta R, Karki P. Text messaging and quality of life of diabetics in tertiary care hospital of Eastern Nepal. Journal of Cardio-diabetes and metabolic disorders 2021;1(1):18
    CrossRef
  273. Iqbal O, Iftakhar T, Zubair Ahmad S. Internet of Things for in Home Health Based Monitoring System: Modern Advances, Challenges and Future Directions. Journal on Internet of Things 2022;4(1):35
    CrossRef
  274. Kytö M, Strömberg L, Tuomonen H, Ruonala A, Koivusalo S, Jacucci G. Behavior Change Apps for Gestational Diabetes Management: Exploring Desirable Features. International Journal of Human–Computer Interaction 2022;38(12):1095
    CrossRef
  275. Zahmatkeshan M, Zakerabasali S, Farjam M, Gholampour Y, Seraji M, Yazdani A. The use of mobile health interventions for gestational diabetes mellitus: a descriptive literature review. Journal of Medicine and Life 2021;14(2):131
    CrossRef
  276. Shalom E, Goldstein A, Ariel E, Sheinberger M, Jones V, Van Schooten B, Shahar Y. Distributed application of guideline-based decision support through mobile devices: Implementation and evaluation. Artificial Intelligence in Medicine 2022;129:102324
    CrossRef
  277. Bonet Olivencia S, Rao AH, Smith A, Sasangohar F. Eliciting Requirements for a Diabetes Self-Management Application for Underserved Populations: A Multi-Stakeholder Analysis. International Journal of Environmental Research and Public Health 2021;19(1):127
    CrossRef
  278. Moore A, Cepeda J, Franklin B, Abreu G, Dorth S, Barkley E. Dominican Adolescents’ Preferences for Content, Design, and Functionality of a Mobile Application for Type 1 Diabetes Mellitus Self-management. Canadian Journal of Diabetes 2023;47(8):665
    CrossRef
  279. Yee LM, Leziak K, Jackson J, Niznik C, Saber R, Yeh C, Simon MA. SweetMama: Usability Assessment of a Novel Mobile Application Among Low-Income Pregnant People to Assist With Diabetes Management and Support. Diabetes Spectrum 2023;36(2):171
    CrossRef
  280. Gopalakrishnan T, Jacob R, Periyandavar I. Does fear drive health app adoption? The role of threat perception in diabetes app usage. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2023;17(10):102857
    CrossRef
  281. Bonet-Olivencia S, Carrillo-Leal J, Rao A, Sasangohar F. User-Centered Design of a Diabetes Self-Management Tool for Underserved Populations. Journal of Diabetes Science and Technology 2024;18(1):22
    CrossRef
  282. Tripathi D, Vikram NK, Chaturvedi S, Bhatia N. Development of “DiabetesSutra” a mobile application for lifestyle management of Type 2 Diabetes in India. Journal of Diabetes & Metabolic Disorders 2023;
    CrossRef
  283. de Frel D, Schroijen MA, Aardoom JJ, van Gils W, Huisman SD, Janssen VR, Versluis A, Kleinsmann MS, Atsma DE, Pijl H. Participatory development of an integrated, eHealth supported, educational care pathway (the Diabetes Box) for people with type 2 diabetes: Development and Usability study. (Preprint). JMIR Human Factors 2022;
    CrossRef
  284. Bajda P, Baliński R, Dzieńkowski M. Research on User Experience during Interactions with Mobile Applications for Diabetics. Journal of Computer Sciences Institute 2023;29:333
    CrossRef

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  1. Tolks D, Fischer MR. Prevention of Diabetes. 2013. :177
    CrossRef
  2. Laaksonen C, Jalonen H, Paavola J. Safe and Secure Cities. 2014. Chapter 11:100
    CrossRef
  3. Zhang Y, Padman R. Handbook of Research on Healthcare Administration and Management. 2017. chapter 3:30
    CrossRef
  4. Eren PE, Gökalp E. Current and Emerging mHealth Technologies. 2018. Chapter 11:167
    CrossRef
  5. . Handbook of Diabetes Technology. 2019. Chapter 8:83
    CrossRef
  6. Zaires S, Perrakis G, Bekri E, Katrakazas P, Lambrou G, Koutsouris D. EMBEC & NBC 2017. 2018. Chapter 45:177
    CrossRef
  7. Kožuh I, Debevc M. Social Networks Science: Design, Implementation, Security, and Challenges. 2018. Chapter 8:151
    CrossRef
  8. Castelnuovo G, Pietrabissa G, Manzoni GM, Corti S, Novelli M, Borrello M, Giusti EM, Borgia F, Molinari E, Middleton NA, Cattivelli R, Simpson S. Health Care Delivery and Clinical Science. 2018. chapter 63:1258
    CrossRef
  9. Yoshida Y, J. Simoes E. Type 2 Diabetes [Working Title]. 2019.
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  10. Gonzalez JS, Kane NS, Chang TE. The Massachusetts General Hospital Handbook of Behavioral Medicine. 2017. Chapter 6:115
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  28. Meedya S, Sheikh MK, Win KT, Halcomb E. Persuasive Technology: Development of Persuasive and Behavior Change Support Systems. 2019. Chapter 16:189
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  38. Pinto A, Martinho D, Vieira A, Ramalho A, Freitas A. Information Systems and Technologies. 2022. Chapter 67:681
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