Explore our sister journals here.

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 09.04.14 in Vol 16, No 4 (2014): April

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

Works citing "Mobile Applications for Diabetics: A Systematic Review and Expert-Based Usability Evaluation Considering the Special Requirements of Diabetes Patients Age 50 Years or Older"

Madlen Arnhold, Mandy Quade, Wilhelm Kirch

J Med Internet Res 2014 (Apr 09); 16(4):e104 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2968):

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

  1. 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
  2. Cruz Zapata B, Hernández Niñirola A, Idri A, Fernández-Alemán JL, Toval A. Mobile PHRs Compliance with Android and iOS Usability Guidelines. Journal of Medical Systems 2014;38(8)
    CrossRef
  3. Ding H, Fatehi F, Russell AW, Karunanithi M, Menon A, Bird D, Gray LC. User Experience of an Innovative Mobile Health Program to Assist in Insulin Dose Adjustment: Outcomes of a Proof-Of-Concept Trial. Telemedicine and e-Health 2018;24(7):536
    CrossRef
  4. 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
  5. Elzein A, Drenkard K, Deyo P, Swartwout E. The Application of Gaming Theory in Health Care. Nursing Administration Quarterly 2015;39(4):340
    CrossRef
  6. Trawley S, Browne JL, Hagger VL, Hendrieckx C, Holmes-Truscott E, Pouwer F, Skinner TC, Speight J. The Use of Mobile Applications Among Adolescents with Type 1 Diabetes: Results from Diabetes MILES Youth—Australia. Diabetes Technology & Therapeutics 2016;18(12):813
    CrossRef
  7. Krebs P, Duncan DT. Health App Use Among US Mobile Phone Owners: A National Survey. JMIR mHealth and uHealth 2015;3(4):e101
    CrossRef
  8. Fischer KI, De Faoite D, Rose M. Patient-reported outcomes feedback report for knee arthroplasty patients should present selective information in a simple design - findings of a qualitative study. Journal of Patient-Reported Outcomes 2020;4(1)
    CrossRef
  9. Flors-Sidro JJ, Househ M, Abd-Alrazaq A, Vidal-Alaball J, Fernandez-Luque L, Sanchez-Bocanegra CL. Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps. JMIR Diabetes 2021;6(1):e16146
    CrossRef
  10. Xiao Q, Lu S, Wang Y, Sun L, Wu Y. Current Status of Cardiovascular Disease-Related Smartphone Apps Downloadable in China. Telemedicine and e-Health 2017;23(3):219
    CrossRef
  11. Schmocker KS, Zwahlen FS, Denecke K. Mobile App for Simplifying Life With Diabetes: Technical Description and Usability Study of GlucoMan. JMIR Diabetes 2018;3(1):e6
    CrossRef
  12. Frøisland DH, Årsand E. Integrating Visual Dietary Documentation in Mobile-Phone-Based Self-Management Application for Adolescents With Type 1 Diabetes. Journal of Diabetes Science and Technology 2015;9(3):541
    CrossRef
  13. Lithgow K, Edwards A, Rabi D. Smartphone App Use for Diabetes Management: Evaluating Patient Perspectives. JMIR Diabetes 2017;2(1):e2
    CrossRef
  14. Siavash Dastjerdi M, Tabatabaee A. A roundup of the simplest mobile phone uses in diabetes management. Diabetes Research and Clinical Practice 2019;158:107895
    CrossRef
  15. Kaplan HC, Thakkar SN, Burns L, Chini B, Dykes DM, McPhail GL, Moore E, Saeed SA, Eslick I, Margolis PA, Opipari-Arrigan L. Protocol of a Pilot Study of Technology-Enabled Coproduction in Pediatric Chronic Illness Care. JMIR Research Protocols 2017;6(4):e71
    CrossRef
  16. 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
  17. Fu HN, Jin D, Adam TJ. Content Analysis: First-Time Patient User Challenges with Top-Rated Commercial Diabetes Apps. Telemedicine and e-Health 2021;27(6):663
    CrossRef
  18. . Telemedizin und technologische Hilfsmittel bei Diabetes im Alter. Der Diabetologe 2020;16(2):120
    CrossRef
  19. Fleming GA, Petrie JR, Bergenstal RM, Holl RW, Peters AL, Heinemann L. Diabetes digital app technology: benefits, challenges, and recommendations. A consensus report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetologia 2020;63(2):229
    CrossRef
  20. 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
  21. Russell‐Jones D, Pouwer F, Khunti K. Identification of barriers to insulin therapy and approaches to overcoming them. Diabetes, Obesity and Metabolism 2018;20(3):488
    CrossRef
  22. Jongerius C, Russo S, Mazzocco K, Pravettoni G. Research-Tested Mobile Apps for Breast Cancer Care: Systematic Review. JMIR mHealth and uHealth 2019;7(2):e10930
    CrossRef
  23. 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
  24. 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
  25. 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
  26. Metelmann B, Metelmann C, Schuffert L, Hahnenkamp K, Brinkrolf P. Medical Correctness and User Friendliness of Available Apps for Cardiopulmonary Resuscitation: Systematic Search Combined With Guideline Adherence and Usability Evaluation. JMIR mHealth and uHealth 2018;6(11):e190
    CrossRef
  27. Iribarren SJ, Schnall R, Stone PW, Carballo-Diéguez A. Smartphone Applications to Support Tuberculosis Prevention and Treatment: Review and Evaluation. JMIR mHealth and uHealth 2016;4(2):e25
    CrossRef
  28. Devan H, Farmery D, Peebles L, Grainger R. Evaluation of Self-Management Support Functions in Apps for People With Persistent Pain: Systematic Review. JMIR mHealth and uHealth 2019;7(2):e13080
    CrossRef
  29. Alessa T, Abdi S, Hawley MS, de Witte L. Mobile Apps to Support the Self-Management of Hypertension: Systematic Review of Effectiveness, Usability, and User Satisfaction. JMIR mHealth and uHealth 2018;6(7):e10723
    CrossRef
  30. Porras Leiva Y, Richmond Solera D, García Calvo MF, Jensen ML. Aspectos importantes a incorporar en una aplicación móvil para la adherencia al tratamiento de la diabetes mellitus tipo 2 en Costa Rica según pacientes y profesionales de salud. Perspectivas en Nutrición Humana 2017;18(2):155
    CrossRef
  31. 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
  32. Inal Y, Wake JD, Guribye F, Nordgreen T. Usability Evaluations of Mobile Mental Health Technologies: Systematic Review. Journal of Medical Internet Research 2020;22(1):e15337
    CrossRef
  33. Marques ADB, Moreira TMM, Jorge TV, Rabelo SMS, Carvalho REFLD, Felipe GF. Usability of a mobile application on diabetic foot self-care. Revista Brasileira de Enfermagem 2020;73(4)
    CrossRef
  34. 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
  35. Cappon G, Acciaroli G, Vettoretti M, Facchinetti A, Sparacino G. Wearable Continuous Glucose Monitoring Sensors: A Revolution in Diabetes Treatment. Electronics 2017;6(3):65
    CrossRef
  36. Peng W, Yuan S, Holtz BE. Exploring the Challenges and Opportunities of Health Mobile Apps for Individuals with Type 2 Diabetes Living in Rural Communities. Telemedicine and e-Health 2016;22(9):733
    CrossRef
  37. 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
  38. Drincic A, Prahalad P, Greenwood D, Klonoff DC. Evidence-based Mobile Medical Applications in Diabetes. Endocrinology and Metabolism Clinics of North America 2016;45(4):943
    CrossRef
  39. 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
  40. Tejada-Llacsa PJ, Yance-Contreras S, Machuca-Felipa L, Cordova-Cassia CA. What Is Offered on Mobile Applications in Spanish About Diabetes Mellitus?. Journal of Diabetes Science and Technology 2018;12(2):541
    CrossRef
  41. 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
  42. Song Y, Qu J, Zhang D, Zhang J. Feasibility and Effectiveness of Mobile Phones in Physical Activity Promotion for Adults 50 Years and Older. Topics in Geriatric Rehabilitation 2018;34(3):213
    CrossRef
  43. Ali WNAW, Adnan NSM, Azahari NA, Annaturie H, Idrus SZS. Effect of Transforming Offline Purchasing of Tamil Books into Online Mobile. Journal of Physics: Conference Series 2020;1529(3):032069
    CrossRef
  44. 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
  45. Khan NS, Muaz MH, Kabir A, Islam MN. A Machine Learning-Based Intelligent System for Predicting Diabetes. International Journal of Big Data and Analytics in Healthcare 2019;4(2):1
    CrossRef
  46. Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar NB, Abdulnabi M. The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Computer Methods and Programs in Biomedicine 2015;122(3):393
    CrossRef
  47. Hermes ED, Lyon AR, Schueller SM, Glass JE. Measuring the Implementation of Behavioral Intervention Technologies: Recharacterization of Established Outcomes. Journal of Medical Internet Research 2019;21(1):e11752
    CrossRef
  48. Wang Y, Min J, Khuri J, Xue H, Xie B, A Kaminsky L, J Cheskin L. Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews. JMIR mHealth and uHealth 2020;8(4):e15400
    CrossRef
  49. Lang C, Scheibe M, Voigt K, Hübsch G, Mocke L, Schmitt J, Bergmann A, Holthoff-Detto V. Motive für die Nichtakzeptanz und Nichtnutzung einer Telemonitoring-Anwendung im häuslichen Umfeld durch multimorbide Patienten über 65 Jahre. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 2019;141-142:76
    CrossRef
  50. Neumann B, Stefanik M, Gonzalvo J, Weber Z. Diabetes mHealth Applications. AADE in Practice 2016;4(5):28
    CrossRef
  51. Lee AM, Chavez S, Bian J, Thompson LA, Gurka MJ, Williamson VG, Modave F. Efficacy and Effectiveness of Mobile Health Technologies for Facilitating Physical Activity in Adolescents: Scoping Review. JMIR mHealth and uHealth 2019;7(2):e11847
    CrossRef
  52. Kitsiou S, Paré G, Jaana M, Gerber B, Li D. Effectiveness of mHealth interventions for patients with diabetes: An overview of systematic reviews. PLOS ONE 2017;12(3):e0173160
    CrossRef
  53. Quinn CC, Swasey KK, Crabbe JCF, Shardell MD, Terrin ML, Barr EA, Gruber-Baldini AL. The Impact of a Mobile Diabetes Health Intervention on Diabetes Distress and Depression Among Adults: Secondary Analysis of a Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(12):e183
    CrossRef
  54. Conway CM, Kelechi TJ, Nemeth LS. Engaging older adults to inform diabetes medication adherence mobile application selection. Healthy Aging Research 2018;7(2):e20
    CrossRef
  55. 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
  56. . Patient Perspectives on Online Health Information and Communication With Doctors: A Qualitative Study of Patients 50 Years Old and Over. Journal of Medical Internet Research 2015;17(1):e19
    CrossRef
  57. 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
  58. Oosterom-Calo R, Abma TA, Visse MA, Stut W, te Velde SJ, Brug J. An Interactive-Technology Health Behavior Promotion Program for Heart Failure Patients: A Pilot Study of Experiences and Needs of Patients and Nurses in the Hospital Setting. JMIR Research Protocols 2014;3(2):e32
    CrossRef
  59. Wake DJ, He J, Czesak AM, Mughal F, Cunningham SG. MyDiabetesMyWay. Journal of Diabetes Science and Technology 2016;10(5):1050
    CrossRef
  60. de Vries ST, Wong L, Sutcliffe A, Houÿez F, Ruiz CL, Mol PGM. Factors Influencing the Use of a Mobile App for Reporting Adverse Drug Reactions and Receiving Safety Information: A Qualitative Study. Drug Safety 2017;40(5):443
    CrossRef
  61. Darby A, Strum MW, Holmes E, Gatwood J. A Review of Nutritional Tracking Mobile Applications for Diabetes Patient Use. Diabetes Technology & Therapeutics 2016;18(3):200
    CrossRef
  62. Missen MMS, Javed A, Asmat H, Nosheen M, Coustaty M, Salamat N, Prasath VBS. Systematic review and usability evaluation of writing mobile apps for children. New Review of Hypermedia and Multimedia 2019;25(3):137
    CrossRef
  63. Chung AE, Griffin AC, Selezneva D, Gotz D. Health and Fitness Apps for Hands-Free Voice-Activated Assistants: Content Analysis. JMIR mHealth and uHealth 2018;6(9):e174
    CrossRef
  64. Dittrich F, Back DA, Harren AK, Jäger M, Landgraeber S, Reinecke F, Beck S. A Possible Mobile Health Solution in Orthopedics and Trauma Surgery: Development Protocol and User Evaluation of the Ankle Joint App. JMIR mHealth and uHealth 2020;8(2):e16403
    CrossRef
  65. 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
  66. 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
  67. Dittrich F, Beck S, Busch A, Dudda M, Harren A, Sander A, Wegner A, Jäger M. Ist der Entlassungsbrief noch zeitgemäß?. Der Orthopäde 2018;47(10):842
    CrossRef
  68. Tay W, Kaur B, Quek R, Lim J, Henry CJ. Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment. Nutrients 2020;12(4):1167
    CrossRef
  69. Desveaux L, Shaw J, Saragosa M, Soobiah C, Marani H, Hensel J, Agarwal P, Onabajo N, Bhatia RS, Jeffs L. A Mobile App to Improve Self-Management of Individuals With Type 2 Diabetes: Qualitative Realist Evaluation. Journal of Medical Internet Research 2018;20(3):e81
    CrossRef
  70. Pedersen PE, Nysveen H. A Brief Systematic Review of Mobile App Markets Research: User, Developer and Platform Perspectives. SSRN Electronic Journal 2018;
    CrossRef
  71. Cho J, Lee HE, Quinlan M. Cross-national comparisons of college students' attitudes toward diet/fitness apps on smartphones. Journal of American College Health 2017;65(7):437
    CrossRef
  72. Balsa J, Félix I, Cláudio AP, Carmo MB, Silva ICE, Guerreiro A, Guedes M, Henriques A, Guerreiro MP. Usability of an Intelligent Virtual Assistant for Promoting Behavior Change and Self-Care in Older People with Type 2 Diabetes. Journal of Medical Systems 2020;44(7)
    CrossRef
  73. Tatara N, Kjøllesdal MKR, Mirkovic J, Andreassen HK. eHealth Use Among First-Generation Immigrants From Pakistan in the Oslo Area, Norway, With Focus on Diabetes: Survey Protocol. JMIR Research Protocols 2016;5(2):e79
    CrossRef
  74. Tomblin Murphy G, Birch S, MacKenzie A, Bradish S, Elliott Rose A. A synthesis of recent analyses of human resources for health requirements and labour market dynamics in high-income OECD countries. Human Resources for Health 2016;14(1)
    CrossRef
  75. . Manuscripts Reviewed for the 2014 Yearbook. Diabetes Technology & Therapeutics 2015;17(S1):S-134
    CrossRef
  76. Bellei EA, Biduski D, Cechetti NP, De Marchi ACB. Diabetes Mellitus m-Health Applications: A Systematic Review of Features and Fundamentals. Telemedicine and e-Health 2018;24(11):839
    CrossRef
  77. Isaković M, Sedlar U, Volk M, Bešter J. Usability Pitfalls of Diabetes mHealth Apps for the Elderly. Journal of Diabetes Research 2016;2016:1
    CrossRef
  78. 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
  79. Liu X, Wang R, Zhou D, Hong Z. Feasibility and acceptability of smartphone applications for seizure self-management in China: Questionnaire study among people with epilepsy. Epilepsy & Behavior 2016;55:57
    CrossRef
  80. Machado GC, Pinheiro MB, Lee H, Ahmed OH, Hendrick P, Williams C, Kamper SJ. Smartphone apps for the self-management of low back pain: A systematic review. Best Practice & Research Clinical Rheumatology 2016;30(6):1098
    CrossRef
  81. 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
  82. Quinn CC, Khokhar B, Weed K, Barr E, Gruber-Baldini AL. Older Adult Self-Efficacy Study of Mobile Phone Diabetes Management. Diabetes Technology & Therapeutics 2015;17(7):455
    CrossRef
  83. Chiu C, Yu Y, Du Y, Yang Y, Chen J, Wong L, Tanasugarn C. Comparing a Social and Communication App, Telephone Intervention, and Usual Care for Diabetes Self-Management: 3-Arm Quasiexperimental Evaluation Study. JMIR mHealth and uHealth 2020;8(6):e14024
    CrossRef
  84. 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
  85. Skrzypecki J, Stańska K, Grabska‐liberek I. Patient‐oriented mobile applications in ophthalmology. Clinical and Experimental Optometry 2019;102(2):180
    CrossRef
  86. Bachiri M, Idri A, Fernández-Alemán JL, Toval A. Mobile personal health records for pregnancy monitoring functionalities: Analysis and potential. Computer Methods and Programs in Biomedicine 2016;134:121
    CrossRef
  87. Kim EK, Kwak SH, Jung HS, Koo BK, Moon MK, Lim S, Jang HC, Park KS, Cho YM. The Effect of a Smartphone-Based, Patient-Centered Diabetes Care System in Patients With Type 2 Diabetes: A Randomized, Controlled Trial for 24 Weeks. Diabetes Care 2019;42(1):3
    CrossRef
  88. Shibuta T, Waki K, Tomizawa N, Igarashi A, Yamamoto-Mitani N, Yamaguchi S, Fujita H, Kimura S, Fujiu K, Waki H, Izumida Y, Sasako T, Kobayashi M, Suzuki R, Yamauchi T, Kadowaki T, Ohe K. Willingness of patients with diabetes to use an ICT-based self-management tool: a cross-sectional study. BMJ Open Diabetes Research & Care 2017;5(1):e000322
    CrossRef
  89. Oluwagbemi O, Oluwagbemi F, Ughamadu C. Android Mobile Informatics Application for some Hereditary Diseases and Disorders (AMAHD): A complementary framework for medical practitioners and patients. Informatics in Medicine Unlocked 2016;2:38
    CrossRef
  90. 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
  91. Kaufman N, Khurana I. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2016;18(S1):S-56
    CrossRef
  92. Klonoff DC, Kerr D. Overcoming Barriers to Adoption of Digital Health Tools for Diabetes. Journal of Diabetes Science and Technology 2018;12(1):3
    CrossRef
  93. Ling Y, Ter Meer LP, Yumak Z, Veltkamp RC. Usability Test of Exercise Games Designed for Rehabilitation of Elderly Patients After Hip Replacement Surgery: Pilot Study. JMIR Serious Games 2017;5(4):e19
    CrossRef
  94. Burke LE, Ma J, Azar KM, Bennett GG, Peterson ED, Zheng Y, Riley W, Stephens J, Shah SH, Suffoletto B, Turan TN, Spring B, Steinberger J, Quinn CC. Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention. Circulation 2015;132(12):1157
    CrossRef
  95. Modave F, Bian J, Rosenberg E, Mendoza T, Liang Z, Bhosale R, Maeztu C, Rodriguez C, Cardel MI. DiaFit: The Development of a Smart App for Patients with Type 2 Diabetes and Obesity. JMIR Diabetes 2016;1(2):e5
    CrossRef
  96. Davis DW, Logsdon MC, Vogt K, Rushton J, Myers J, Lauf A, Hogan F. Parent Education is Changing. MCN: The American Journal of Maternal/Child Nursing 2017;42(5):248
    CrossRef
  97. Brew-Sam N, Chib A. How Do Smart Device Apps for Diabetes Self-Management Correspond with Theoretical Indicators of Empowerment? An Analysis of App Features. International Journal of Technology Assessment in Health Care 2019;35(2):150
    CrossRef
  98. Musatov VB, Yakovlev AA, Chaika NA, Kelly J, Amirhanyan YA. MAIN REASONS AND CURRENT METHODS OF CORRECTION OF POOR ADHERENCE TO ANTIRETROVIRAL TREATMENT IN DIFFICULT PATIENTS. HIV Infection and Immunosuppressive Disorders 2019;10(4):37
    CrossRef
  99. Albrecht U, von Jan U. Medical apps in endocrine diseases – hide and seek. Therapeutic Advances in Endocrinology and Metabolism 2014;5(2):23
    CrossRef
  100. Sahin C, Naylor P. Mixed-Methods Research in Diabetes Management via Mobile Health Technologies: A Scoping Review. JMIR Diabetes 2017;2(1):e3
    CrossRef
  101. Sarkar U, Gourley GI, Lyles CR, Tieu L, Clarity C, Newmark L, Singh K, Bates DW. Usability of Commercially Available Mobile Applications for Diverse Patients. Journal of General Internal Medicine 2016;31(12):1417
    CrossRef
  102. Liu X, Wang R, Zhou D, Hong Z. Smartphone applications for seizure care and management in children and adolescents with epilepsy: Feasibility and acceptability assessment among caregivers in China. Epilepsy Research 2016;127:1
    CrossRef
  103. Freckmann G, Mende J. Continuous glucose monitoring: data management and evaluation by patients and health care professionals – current situation and developments. LaboratoriumsMedizin 2018;42(6):225
    CrossRef
  104. Bhattarai P, Newton-John TRO, Phillips JL. Quality and Usability of Arthritic Pain Self-Management Apps for Older Adults: A Systematic Review. Pain Medicine 2018;19(3):471
    CrossRef
  105. Masterson Creber RM, Maurer MS, Reading M, Hiraldo G, Hickey KT, Iribarren S. Review and Analysis of Existing Mobile Phone Apps to Support Heart Failure Symptom Monitoring and Self-Care Management Using the Mobile Application Rating Scale (MARS). JMIR mHealth and uHealth 2016;4(2):e74
    CrossRef
  106. Cui M, Wu X, Mao J, Wang X, Nie M, Barengo NC. T2DM Self-Management via Smartphone Applications: A Systematic Review and Meta-Analysis. PLOS ONE 2016;11(11):e0166718
    CrossRef
  107. Félix IB, Guerreiro MP, Cavaco A, Cláudio AP, Mendes A, Balsa J, Carmo MB, Pimenta N, Henriques A. Development of a Complex Intervention to Improve Adherence to Antidiabetic Medication in Older People Using an Anthropomorphic Virtual Assistant Software. Frontiers in Pharmacology 2019;10
    CrossRef
  108. Chiu M, Huang P, Tsao S. Redesigning the user interface of a healthcare management system for the elderly with a systematic usability testing method. Journal of Industrial and Production Engineering 2019;36(5):324
    CrossRef
  109. Pena MJ, Stenvinkel P, Kretzler M, Adu D, Agarwal SK, Coresh J, Feldman HI, Fogo AB, Gansevoort RT, Harris DC, Jha V, Liu Z, Luyckx VA, Massy ZA, Mehta R, Nelson RG, O'Donoghue DJ, Obrador GT, Roberts CJ, Sola L, Sumaili EK, Tatiyanupanwong S, Thomas B, Wiecek A, Parikh CR, Heerspink HJ. Strategies to improve monitoring disease progression, assessing cardiovascular risk, and defining prognostic biomarkers in chronic kidney disease. Kidney International Supplements 2017;7(2):107
    CrossRef
  110. Ringholm L, Damm P, Mathiesen ER. Improving pregnancy outcomes in women with diabetes mellitus: modern management. Nature Reviews Endocrinology 2019;15(7):406
    CrossRef
  111. 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
  112. Pérez-Gandía C, García-Sáez G, Subías D, Rodríguez-Herrero A, Gómez EJ, Rigla M, Hernando ME. Decision Support in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living Using a Mobile Glucose Predictor. Journal of Diabetes Science and Technology 2018;12(2):243
    CrossRef
  113. . Retracted: Co‐designing technology with people with dementia and their carers: Exploring user perspectives when co‐creating a mobile health application. International Journal of Older People Nursing 2020;15(3)
    CrossRef
  114. . A Digital Ecosystem of Diabetes Data and Technology. Journal of Diabetes Science and Technology 2016;10(1):35
    CrossRef
  115. Wilson LM, Tyler N, Jacobs PG, Gabo V, Senf B, Reddy R, Castle JR. Patient Input for Design of a Decision Support Smartphone Application for Type 1 Diabetes. Journal of Diabetes Science and Technology 2020;14(6):1081
    CrossRef
  116. Mendiola MF, Kalnicki M, Lindenauer S. Valuable Features in Mobile Health Apps for Patients and Consumers: Content Analysis of Apps and User Ratings. JMIR mHealth and uHealth 2015;3(2):e40
    CrossRef
  117. Modave F, Guo Y, Bian J, Gurka MJ, Parish A, Smith MD, Lee AM, Buford TW. Mobile Device Accuracy for Step Counting Across Age Groups. JMIR mHealth and uHealth 2017;5(6):e88
    CrossRef
  118. Ploderer B, Brown R, Seng LSD, Lazzarini PA, van Netten JJ. Promoting Self-Care of Diabetic Foot Ulcers Through a Mobile Phone App: User-Centered Design and Evaluation. JMIR Diabetes 2018;3(4):e10105
    CrossRef
  119. 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
  120. Deshpande AK, Shimunova T. A Comprehensive Evaluation of Tinnitus Apps. American Journal of Audiology 2019;28(3):605
    CrossRef
  121. Halbron M, Joubert M, Sonnet E. m-santé francophone et diabète : mise au point. Médecine des Maladies Métaboliques 2016;10(3):243
    CrossRef
  122. Greenwood DA, Blozis SA, Young HM, Nesbitt TS, Quinn CC. Overcoming Clinical Inertia: A Randomized Clinical Trial of a Telehealth Remote Monitoring Intervention Using Paired Glucose Testing in Adults With Type 2 Diabetes. Journal of Medical Internet Research 2015;17(7):e178
    CrossRef
  123. Chantler T, Paton C, Velardo C, Triantafyllidis A, Shah SA, Stoppani E, Conrad N, Fitzpatrick R, Tarassenko L, Rahimi K. Creating connections – the development of a mobile-health monitoring system for heart failure: Qualitative findings from a usability cohort study. DIGITAL HEALTH 2016;2:205520761667146
    CrossRef
  124. 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
  125. Quelly SB, Norris AE, DiPietro JL. Impact of mobile apps to combat obesity in children and adolescents: A systematic literature review. Journal for Specialists in Pediatric Nursing 2016;21(1):5
    CrossRef
  126. Chen J, Gemming L, Hanning R, Allman-Farinelli M. Smartphone apps and the nutrition care process: Current perspectives and future considerations. Patient Education and Counseling 2018;101(4):750
    CrossRef
  127. Kuo A, Dang S. Secure Messaging in Electronic Health Records and Its Impact on Diabetes Clinical Outcomes: A Systematic Review. Telemedicine and e-Health 2016;22(9):769
    CrossRef
  128. Van Nuland SE, Eagleson R, Rogers KA. Educational software usability: Artifact or Design?. Anatomical Sciences Education 2017;10(2):190
    CrossRef
  129. Velázquez–López L, Muñoz-Torres AV, Medina-Bravo P, Vilchis-Gil J, Klϋnder-Klϋnder M, Escobedo–de la Peña J. Multimedia education program and nutrition therapy improves HbA1c, weight, and lipid profile of patients with type 2 diabetes: a randomized clinical trial. Endocrine 2017;58(2):236
    CrossRef
  130. Booth AO, Lowis C, Hunter SJ, Dean M, Cardwell CR, McKinley MC. Development and Evaluation of a Computer-Based, Self-Management Tool for People Recently Diagnosed with Type 2 Diabetes. Journal of Diabetes Research 2016;2016:1
    CrossRef
  131. 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
  132. Azad-Khaneghah P, Neubauer N, Miguel Cruz A, Liu L. Mobile health app usability and quality rating scales: a systematic review. Disability and Rehabilitation: Assistive Technology 2021;16(7):712
    CrossRef
  133. Black DA, O'Loughlin K, Wilson LA. Climate change and the health of older people in Australia: A scoping review on the role of mobile applications (apps) in ameliorating impact. Australasian Journal on Ageing 2018;37(2):99
    CrossRef
  134. Cheng K, Ingram N, Keenan J, Choudhury RP. Evidence of poor adherence to secondary prevention after acute coronary syndromes: possible remedies through the application of new technologies. Open Heart 2015;2(1):e000166
    CrossRef
  135. McMillan B, Easton K, Goyder E, Delaney B, Madhuvrata P, Abdelgalil R, Mitchell C. Reducing risk of type 2 diabetes after gestational diabetes: a qualitative study to explore the potential of technology in primary care. British Journal of General Practice 2018;68(669):e260
    CrossRef
  136. Al Bawab AQ, AlQahtani F, McElnay J. Health Care Apps Reported in Newspapers: Content Analysis. JMIR mHealth and uHealth 2018;6(10):e10237
    CrossRef
  137. 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
  138. Barmanray R, Briganti E. Glycaemic control apps for diabetes: lifting the lid. Medical Journal of Australia 2018;209(10):426
    CrossRef
  139. Garnweidner-Holme L, Borgen I, Garitano I, Noll J, Lukasse M. Designing and Developing a Mobile Smartphone Application for Women with Gestational Diabetes Mellitus Followed-Up at Diabetes Outpatient Clinics in Norway. Healthcare 2015;3(2):310
    CrossRef
  140. Salari R, R Niakan Kalhori S, GhaziSaeedi M, Jeddi M, Nazari M, Fatehi F. Mobile-Based and Cloud-Based System for Self-management of People With Type 2 Diabetes: Development and Usability Evaluation. Journal of Medical Internet Research 2021;23(6):e18167
    CrossRef
  141. Eiland L, Thangavelu T, Drincic A. Has Technology Improved Diabetes Management in Relation to Age, Gender, and Ethnicity?. Current Diabetes Reports 2019;19(11)
    CrossRef
  142. Molina Recio G, García-Hernández L, Molina Luque R, Salas-Morera L. The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review. BioMedical Engineering OnLine 2016;15(S1)
    CrossRef
  143. Ashurst EJ, Jones RB. Is the Health App Challenge approach of patient-led application conception, development, and review worthwhile?. Health Policy and Technology 2017;6(1):83
    CrossRef
  144. Lordon RJ, Mikles SP, Kneale L, Evans HL, Munson SA, Backonja U, Lober WB. How patient-generated health data and patient-reported outcomes affect patient–clinician relationships: A systematic review. Health Informatics Journal 2020;26(4):2689
    CrossRef
  145. Steinert A, Haesner M, Steinhagen-Thiessen E. App-basiertes Selbstmonitoring bei Typ-2-Diabetes. Zeitschrift für Gerontologie und Geriatrie 2017;50(6):516
    CrossRef
  146. Puri A, Kim B, Nguyen O, Stolee P, Tung J, Lee J. User Acceptance of Wrist-Worn Activity Trackers Among Community-Dwelling Older Adults: Mixed Method Study. JMIR mHealth and uHealth 2017;5(11):e173
    CrossRef
  147. Boodoo C, Perry JA, Hunter PJ, Duta DI, Newhook SCP, Leung G, Cross K. Views of Patients on Using mHealth to Monitor and Prevent Diabetic Foot Ulcers: Qualitative Study. JMIR Diabetes 2017;2(2):e22
    CrossRef
  148. 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
  149. Cheng C, Beauchamp A, Elsworth GR, Osborne RH. Applying the Electronic Health Literacy Lens: Systematic Review of Electronic Health Interventions Targeted at Socially Disadvantaged Groups. Journal of Medical Internet Research 2020;22(8):e18476
    CrossRef
  150. Caburnay CA, Graff K, Harris JK, McQueen A, Smith M, Fairchild M, Kreuter MW. Evaluating Diabetes Mobile Applications for Health Literate Designs and Functionality, 2014. Preventing Chronic Disease 2015;12
    CrossRef
  151. Ringholm L, Stougaard EB, Nørgaard SK, Damm P, Mathiesen ER. Diabetes Management During Breastfeeding in Women with Type 1 Diabetes. Current Diabetes Reports 2020;20(8)
    CrossRef
  152. Jiwani R, Wang J, Berndt A, Ramaswamy P, Mathew Joseph N, Du Y, Ko J, Espinoza S. Changes in Patient-Reported Outcome Measures With a Technology-Supported Behavioral Lifestyle Intervention Among Patients With Type 2 Diabetes: Pilot Randomized Controlled Clinical Trial. JMIR Diabetes 2020;5(3):e19268
    CrossRef
  153. 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
  154. Sun C, Sun L, Xi S, Zhang H, Wang H, Feng Y, Deng Y, Wang H, Xiao X, Wang G, Gao Y, Wang G. Mobile Phone–Based Telemedicine Practice in Older Chinese Patients with Type 2 Diabetes Mellitus: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(1):e10664
    CrossRef
  155. Sandhu H, Wilson K, Reed N, Mihailidis A. A Mobile Phone App for the Self-Management of Pediatric Concussion: Development and Usability Testing. JMIR Human Factors 2019;6(2):e12135
    CrossRef
  156. Paglialonga A, Lugo A, Santoro E. An overview on the emerging area of identification, characterization, and assessment of health apps. Journal of Biomedical Informatics 2018;83:97
    CrossRef
  157. Paglialonga A, Tognola G, Pinciroli F. Apps for Hearing Science and Care. American Journal of Audiology 2015;24(3):293
    CrossRef
  158. Monney G, Penzenstadler L, Dupraz O, Etter J, Khazaal Y. mHealth App for Cannabis Users: Satisfaction and Perceived Usefulness. Frontiers in Psychiatry 2015;6
    CrossRef
  159. Yoshida Y, Patil SJ, Brownson RC, Boren SA, Kim M, Dobson R, Waki K, Greenwood DA, Torbjørnsen A, Ramachandran A, Masi C, Fonseca VA, Simoes EJ. Using the RE-AIM framework to evaluate internal and external validity of mobile phone–based interventions in diabetes self-management education and support. Journal of the American Medical Informatics Association 2020;27(6):946
    CrossRef
  160. Zapata BC, Fernández-Alemán JL, Idri A, Toval A. Empirical Studies on Usability of mHealth Apps: A Systematic Literature Review. Journal of Medical Systems 2015;39(2)
    CrossRef
  161. Honein-AbouHaidar GN, Antoun J, Badr K, Hlais S, Nazaretian H. Users’ acceptance of electronic patient portals in Lebanon. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  162. Vettoretti M, Cappon G, Acciaroli G, Facchinetti A, Sparacino G. Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications. Journal of Diabetes Science and Technology 2018;12(5):1064
    CrossRef
  163. Goeldner M, Herstatt C. Are Patients and Relatives the Better Innovators? The Case of Medical Smartphone Applications. SSRN Electronic Journal 2016;
    CrossRef
  164. Biviji R, Vest JR, Dixon BE, Cullen T, Harle CA. Factors Related to User Ratings and User Downloads of Mobile Apps for Maternal and Infant Health: A Cross-Sectional Study. JMIR mHealth and uHealth 2020;8(1):e15663
    CrossRef
  165. Scheibe M, Reichelt J, Bellmann M, Kirch W. Acceptance Factors of Mobile Apps for Diabetes by Patients Aged 50 or Older: A Qualitative Study. Medicine 2.0 2015;4(1):e1
    CrossRef
  166. Baptista S, Trawley S, Pouwer F, Oldenburg B, Wadley G, Speight J. What Do Adults with Type 2 Diabetes Want from the “Perfect” App? Results from the Second Diabetes MILES: Australia (MILES-2) Study. Diabetes Technology & Therapeutics 2019;21(7):393
    CrossRef
  167. Martinez VI, Marquard JL, Saver B, Garber L, Preusse P. Consumer Health Informatics Interventions Must Support User Workflows, Be Easy-To-Use, and Improve Cognition: Applying the SEIPS 2.0 Model to Evaluate Patients’ and Clinicians’ Experiences with the CONDUIT-HID Intervention. International Journal of Human–Computer Interaction 2017;33(4):333
    CrossRef
  168. Jadczyk T, Kiwic O, Khandwalla RM, Grabowski K, Rudawski S, Magaczewski P, Benyahia H, Wojakowski W, Henry TD. Feasibility of a voice-enabled automated platform for medical data collection: CardioCube. International Journal of Medical Informatics 2019;129:388
    CrossRef
  169. Han H, Guo W, Lu Y, Wang M. Effect of mobile applications on blood pressure control and their development in China: a systematic review and meta-analysis. Public Health 2020;185:356
    CrossRef
  170. Janatkhah R, Tabari-Khomeiran R, Asadi-Louyeh A, Kazemnejad E. Usability of a Disease Management Mobile Application as Perceived by Patients With Diabetes. CIN: Computers, Informatics, Nursing 2019;37(8):413
    CrossRef
  171. 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
  172. Paglialonga A, Pinciroli F, Tognola G. The ALFA4Hearing Model (At-a-Glance Labeling for Features of Apps for Hearing Health Care) to Characterize Mobile Apps for Hearing Health Care. American Journal of Audiology 2017;26(3S):408
    CrossRef
  173. Hsieh W, Su Y, Han H, Huang M. A Novel mHealth Approach for a Patient-Centered Medication and Health Management System in Taiwan: Pilot Study. JMIR mHealth and uHealth 2018;6(7):e154
    CrossRef
  174. Grainger R, Devan H, Sangelaji B, Hay-Smith J. Issues in reporting of systematic review methods in health app-focused reviews: A scoping review. Health Informatics Journal 2020;26(4):2930
    CrossRef
  175. Petersen M, Hempler NF. Development and testing of a mobile application to support diabetes self-management for people with newly diagnosed type 2 diabetes: a design thinking case study. BMC Medical Informatics and Decision Making 2017;17(1)
    CrossRef
  176. Grammes J, Küstner E. Diabetestechnologie bei älteren Patienten. Der Diabetologe 2016;12(8):572
    CrossRef
  177. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  178. Fleming GA, Petrie JR, Bergenstal RM, Holl RW, Peters AL, Heinemann L. Diabetes Digital App Technology: Benefits, Challenges, and Recommendations. A Consensus Report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetes Care 2020;43(1):250
    CrossRef
  179. Si Y, Xiao X, Xia C, Guo J, Hao Q, Mo Q, Niu Y, Sun H. Optimising epilepsy management with a smartphone application: a randomised controlled trial. Medical Journal of Australia 2020;212(6):258
    CrossRef
  180. Quevedo Rodríguez A, Wägner AM. Mobile phone applications for diabetes management: A systematic review. Endocrinología, Diabetes y Nutrición 2019;66(5):330
    CrossRef
  181. Lee SW, Welsh JB. Upcoming Devices for Diabetes Management: The Artificial Pancreas as the Hallmark Device. Diabetes Technology & Therapeutics 2015;17(8):538
    CrossRef
  182. 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
  183. Kelly L, Jenkinson C, Morley D. Experiences of Using Web-Based and Mobile Technologies to Support Self-Management of Type 2 Diabetes: Qualitative Study. JMIR Diabetes 2018;3(2):e9
    CrossRef
  184. Jankowski J, Saganowski S, Bródka P. Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials. Mobile Information Systems 2016;2016:1
    CrossRef
  185. Zimbudzi E, Lo C, Kerr PG, Zoungas S. A need-based approach to self-management education for adults with co-morbid diabetes and chronic kidney disease. BMC Nephrology 2019;20(1)
    CrossRef
  186. Quevedo Rodríguez A, Wägner AM. Mobile phone applications for diabetes management: A systematic review. Endocrinología, Diabetes y Nutrición (English ed.) 2019;66(5):330
    CrossRef
  187. Siddique AB, Krebs M, Alvarez S, Greenspan I, Patel A, Kinsolving J, Koizumi N. Mobile Apps for the Care Management of Chronic Kidney and End-Stage Renal Diseases: Systematic Search in App Stores and Evaluation. JMIR mHealth and uHealth 2019;7(9):e12604
    CrossRef
  188. Langarizadeh M, Sadeghi M, As’habi A, Rahmati P, Sheikhtaheri A. Mobile apps for weight management in children and adolescents; An updated systematic review. Patient Education and Counseling 2021;104(9):2181
    CrossRef
  189. Iyawa GE, Dansharif AR, Khan A. Mobile apps for self-management in pregnancy: a systematic review. Health and Technology 2021;11(2):283
    CrossRef
  190. Iribarren SJ, Akande TO, Kamp KJ, Barry D, Kader YG, Suelzer E. Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2021;9(1):e21563
    CrossRef
  191. García-Berná JA, Ouhbi S, Fernández-Alemán JL, Carrillo de Gea JM, Nicolás J, Moros B, Toval A. A Study on the Relationship between Usability of GUIs and Power Consumption of a PC: The Case of PHRs. International Journal of Environmental Research and Public Health 2021;18(4):1385
    CrossRef
  192. Wahbeh A, El-Gayar O, Sarnikar S. A close look at socio-technical design features of mobile applications for diabetes self-management. Health and Technology 2021;11(1):227
    CrossRef
  193. Wali S, Keshavjee K, Nguyen L, Mbuagbaw L, Demers C. Using an Electronic App to Promote Home-Based Self-Care in Older Patients With Heart Failure: Qualitative Study on Patient and Informal Caregiver Challenges. JMIR Cardio 2020;4(1):e15885
    CrossRef
  194. Liu Y, Chen C, Lin Y, Chen H, Irianti D, Jen T, Yeh J, Chiu SY. Design and Usability Evaluation of Mobile Voice-Added Food Reporting for Elderly People: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(9):e20317
    CrossRef
  195. Wang Y, Collins WB. Systematic evaluation of mobile fitness apps: Apps as the Tutor, Recorder, Game Companion, and Cheerleader. Telematics and Informatics 2021;59:101552
    CrossRef
  196. Muro-Culebras A, Escriche-Escuder A, Martin-Martin J, Roldan-Jimenez C, De-Torres I, Ruiz-Muñoz M, Gonzalez-Sanchez M, Mayoral-Cleries F, Biró A, Tang W, Nikolova B, Salvatore A, Cuesta-Vargas AI. Tools for evaluating the content, efficacy, and usability of mHealth applications: a COSMIN systematic review (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  197. Alhodaib HI, Antza C, Chandan JS, Hanif W, Sankaranarayanan S, Paul S, Sutcliffe P, Nirantharakumar K. Mobile Clinical Decision Support System for the Management of Diabetic Patients With Kidney Complications in UK Primary Care Settings: Mixed Methods Feasibility Study. JMIR Diabetes 2020;5(4):e19650
    CrossRef
  198. Martinez W, Threatt AL, Rosenbloom ST, Wallston KA, Hickson GB, Elasy TA. A Patient-Facing Diabetes Dashboard Embedded in a Patient Web Portal: Design Sprint and Usability Testing. JMIR Human Factors 2018;5(3):e26
    CrossRef
  199. Désormeaux-Moreau M, Michel C, Vallières M, Racine M, Poulin-Paquet M, Lacasse D, Gionet P, Genereux M, Lachiheb W, Provencher V. Mobile Apps to Support Family Caregivers of People With Alzheimer Disease and Related Dementias in Managing Disruptive Behaviors: Qualitative Study With Users Embedded in a Scoping Review. JMIR Aging 2021;4(2):e21808
    CrossRef
  200. 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
  201. Hensher M, Cooper P, Dona SWA, Angeles MR, Nguyen D, Heynsbergh N, Chatterton ML, Peeters A. Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers. Journal of the American Medical Informatics Association 2021;28(6):1318
    CrossRef
  202. 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
  203. Wronikowska MW, Malycha J, Morgan LJ, Westgate V, Petrinic T, Young JD, Watkinson PJ. Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems. Journal of Evaluation in Clinical Practice 2021;27(6):1403
    CrossRef
  204. Al-Arkee S, Mason J, Lane DA, Fabritz L, Chua W, Haque MS, Jalal Z. Mobile Apps to Improve Medication Adherence in Cardiovascular Disease: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(5):e24190
    CrossRef
  205. 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
  206. Scheibe M, Lang C, Druschke D, Arnold K, Luntz E, Schmitt J, Holthoff-Detto V. Independent Use of a Home-Based Telemonitoring App by Older Patients With Multimorbidity and Mild Cognitive Impairment: Qualitative Study. JMIR Human Factors 2021;8(3):e27156
    CrossRef
  207. Alshehri F, Alshaikh F. Exploring the Constituent Elements of a Successful Mobile Health Intervention for Prediabetic Patients in King Saud University Medical City Hospitals in Saudi Arabia: Cross-sectional Study. JMIR Formative Research 2021;5(7):e22968
    CrossRef
  208. Schretzlmaier P, Hecker A, Ammenwerth E. Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study. JMIR Human Factors 2022;9(1):e34918
    CrossRef
  209. Lu X, Zhang R. Association Between eHealth Literacy in Online Health Communities and Patient Adherence: Cross-sectional Questionnaire Study. Journal of Medical Internet Research 2021;23(9):e14908
    CrossRef
  210. Marques G, Gil RS, Franco-Martín M, de la Torre I. Telemedicine solutions for patients with mental disorders: a Delphi study and review of mobile applications in virtual stores. Informatics for Health and Social Care 2022;47(2):223
    CrossRef
  211. Bassi G, Donadello I, Gabrielli S, Salcuni S, Giuliano C, Forti S. Early Development of a Virtual Coach for Healthy Coping Interventions in Type 2 Diabetes Mellitus: Validation Study. JMIR Formative Research 2022;6(2):e27500
    CrossRef
  212. Arkhipov VV, Burmistrova NI. Automated Information Systems as a New Approach to Risk Management of Pharmacotherapy in the Treatment of Epilepsy. Safety and Risk of Pharmacotherapy 2022;10(2):151
    CrossRef
  213. Vomer RP, Pujalte GG, Waller TA, Abadin A, York ER, Albano-Aluquin S. Telehealth examination of the lumbar spine. Technology and Health Care 2023;31(1):81
    CrossRef
  214. 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
  215. Harakeh Z, Van Keulen H, Hogenelst K, Otten W, De Hoogh IM, Van Empelen P. Predictors of the Acceptance of an Electronic Coach Targeting Self-management of Patients With Type 2 Diabetes: Web-Based Survey. JMIR Formative Research 2022;6(8):e34737
    CrossRef
  216. Awwad KA, Abu-khader IR. Cross-Sectional Study Concerning the Knowledge, Attitude, and Practice of People With Diabetes Regarding the Prevention of Foot Ulcers in a Community. Clinical Diabetes 2022;40(3):298
    CrossRef
  217. Ye C, Cao C, Yang J, Shao X. Explore How Online Healthcare Can Influence Willingness to Seek Offline Care. International Journal of Environmental Research and Public Health 2022;19(13):7925
    CrossRef
  218. Alharbi R, Qadri A, Mahnashi M, Hakami A, Darraj B, Shnaimer J, Gosadi I. Utilization of Health Applications Among Patients Diagnosed with Chronic Diseases in Jazan, Saudi Arabia During the COVID-19 Pandemic. Patient Preference and Adherence 2021;Volume 15:2063
    CrossRef
  219. Naranjo-Rojas A, Perula-de-Torres L, Molina-Recio G. Patients, caregivers, and healthcare professionals' needs when designing the content of a mobile application for the clinical monitoring of patients with chronic obstructive pulmonary disease and home oxygen therapy: A user-centered design. Internet Interventions 2022;29:100552
    CrossRef
  220. Shah UEM, Chiew TK, Mehmood Y. A Usability Evaluation Instrument for Pain Management Mobile Applications: An Elderly’s Perspective. International Journal of Human–Computer Interaction 2022;:1
    CrossRef
  221. Pimenta N, Félix IB, Monteiro D, Marques MM, Guerreiro MP. Promoting Physical Activity in Older Adults With Type 2 Diabetes via an Anthropomorphic Conversational Agent: Development of an Evidence and Theory-Based Multi-Behavior Intervention. Frontiers in Psychology 2022;13
    CrossRef
  222. Tahsin F, Tracy S, Chau E, Harvey S, Loganathan M, McKinstry B, Mercer SW, Nie J, Ramsay T, Thavorn K, Palen T, Sritharan J, Steele Gray C. Exploring the relationship between the usability of a goal-oriented mobile health application and non-usage attrition in patients with multimorbidity: A blended data analysis approach. DIGITAL HEALTH 2021;7:205520762110455
    CrossRef
  223. Zhu X, He M, Dong Y, Zhang S, Fang S, Wang W, Zhang M, Sun J. How tablets/applications enhance social connections and social support in people with dementia: A qualitative systematic review. International Journal of Mental Health Nursing 2023;32(3):727
    CrossRef
  224. Guerreiro MP, Balsa J, Carmo MB, Cláudio AP, Félix IB. Usability Evaluation by Primary Care Providers of a Novel Digital Intervention for Type 2 Diabetes Self-Management in Older Adults. CIN: Computers, Informatics, Nursing 2023;41(4):185
    CrossRef
  225. Tews D, Gouveri E, Simon J, Marck C. A Smartphone-Based Application to Assist Insulin Titration in Patients Undergoing Basal Insulin-Supported Oral Antidiabetic Treatment. Journal of Diabetes Science and Technology 2023;17(4):988
    CrossRef
  226. Geirhos A, Stephan M, Wehrle M, Mack C, Messner E, Schmitt A, Baumeister H, Terhorst Y, Sander LB. Standardized evaluation of the quality and persuasiveness of mobile health applications for diabetes management. Scientific Reports 2022;12(1)
    CrossRef
  227. Wang S, Lee HS, Choi W. A feature-oriented analysis of developers’ descriptions and user reviews of top mHealth applications for diabetes and hypertension. International Journal of Medical Informatics 2021;156:104598
    CrossRef
  228. Zhai S, Li YJ, Chi M. The Impact of Government Social Media Information Quality on Public Panic During the Infodemic. Frontiers in Psychology 2022;13
    CrossRef
  229. Kuhn BR, Chittoor G, Johns A, Berger A, Justice AE. Patient reported data integration for management of Eosinophilic Esophagitis. Diseases of the Esophagus 2022;
    CrossRef
  230. 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
  231. Wang Q, Liu J, Zhou L, Tian J, Chen X, Zhang W, Wang H, Zhou W, Gao Y. Usability evaluation of mHealth apps for elderly individuals: a scoping review. BMC Medical Informatics and Decision Making 2022;22(1)
    CrossRef
  232. Stark C, Cunningham J, Turner P, Johnson MA, Bäcker HC. App-Based Rehabilitation in Back Pain, a Systematic Review. Journal of Personalized Medicine 2022;12(10):1558
    CrossRef
  233. Potgieter A, Rensleigh C. Blood donor app usage behaviour and perceptions: Considerations for a blood donation app. SA Journal of Information Management 2022;24(1)
    CrossRef
  234. Foster M, Xiong W, Quintiliani L, Hartmann CW, Gaehde S. Preferences of Older Adult Veterans With Heart Failure for Engaging With Mobile Health Technology to Support Self-care: Qualitative Interview Study Among Patients With Heart Failure and Content Analysis. JMIR Formative Research 2022;6(12):e41317
    CrossRef
  235. Gupta K, Roy S, Poonia RC, Kumar R, Nayak SR, Altameem A, Saudagar AKJ. Multi-Criteria Usability Evaluation of mHealth Applications on Type 2 Diabetes Mellitus Using Two Hybrid MCDM Models: CODAS-FAHP and MOORA-FAHP. Applied Sciences 2022;12(9):4156
    CrossRef
  236. Gao C, Shen Y, Xu W, Zhang Y, Tu Q, Zhu X, Lu Z, Yang Y. A fuzzy-set qualitative comparative analysis exploration of multiple paths to users’ continuous use behavior of diabetes self-management apps. International Journal of Medical Informatics 2023;172:105000
    CrossRef
  237. Safiee L, Rough DJ, Whitford H. Barriers to and Facilitators of Using eHealth to Support Gestational Diabetes Mellitus Self-management: Systematic Literature Review of Perceptions of Health Care Professionals and Women With Gestational Diabetes Mellitus. Journal of Medical Internet Research 2022;24(10):e39689
    CrossRef
  238. Sumra M, Asghar S, Khan KS, Fernández-Luna JM, Huete JF, Bueno-Cavanillas A. Smartphone Apps for Domestic Violence Prevention: A Systematic Review. International Journal of Environmental Research and Public Health 2023;20(7):5246
    CrossRef
  239. Pi L, Shi X, Wang Z, Zhou Z. Effect of smartphone apps on glycemic control in young patients with type 1 diabetes: A meta-analysis. Frontiers in Public Health 2023;11
    CrossRef
  240. Inagaki S, Kato K, Abe K, Takahashi H, Matsuda T. Relationship between Diabetes Self-Management and the Use of Health Care Apps: A Cross-Sectional Study. ACI Open 2023;07(01):e23
    CrossRef
  241. Oates GR, Mims C, Geurs R, Bergquist R, Hager A, Guimbellot JS, Hartzes AM, Gutierrez HH. Mobile health platform for self-management of pediatric cystic fibrosis: Impact on patient-centered care outcomes. Journal of Cystic Fibrosis 2023;22(5):823
    CrossRef
  242. Barboza HN, Lima MCD, Ferreira RJDS, Rosa MRDD, Araújo ALDLES, Acioly ADSG. Teste de usabilidade do aplicativo Avazum. CoDAS 2023;35(5)
    CrossRef
  243. Abdulhussein FS, Pinkney S, Görges M, van Rooij T, Amed S. Designing a Collaborative Patient-Centered Digital Health Platform for Pediatric Diabetes Care in British Columbia: Formative Needs Assessment by Caregivers of Children and Youths Living With Type 1 Diabetes and Health Care Providers. JMIR Pediatrics and Parenting 2023;6:e46432
    CrossRef
  244. Barboza HN, Lima MCD, Ferreira RJDS, Rosa MRDD, Araújo ALDLES, Acioly ADSG. Avazum app usability testing. CoDAS 2023;35(5)
    CrossRef
  245. Chen M, Weissglass D, Li C, Li D, Wu Z, Zhang L. A multisectoral and multidisciplinary endeavor: a review of diabetes self-management apps in China. BMC Public Health 2023;23(1)
    CrossRef
  246. Polgár A, Szálka B, Molnár T, Kósa I, Vassányi I, Mák E. A mobilapplikációval támogatott alacsony-FODMAP-étrend a funkcionális gastrointestinalis és a gyulladásos bélbetegségek kezelésében. Orvosi Hetilap 2022;163(31):1224
    CrossRef
  247. Luo E, Wan J, Su M, Wang J, Feng J, Xie X, Hong X. Efficacy of a basal insulin dose management smartphone application for controlling fasting blood glucose in patients with type‐2 diabetes mellitus: A single‐centre, randomised clinical study. Clinical Endocrinology 2023;99(4):361
    CrossRef
  248. Arkhipov VV, Mantserov KM. Personalized Methodological Approaches to the Issues of Monitoring the Effectiveness and Safety of Pharmacotherapy with Antiepileptic Drugs Based on Mobile Medicine Technologies. Personalized Psychiatry and Neurology 2023;3(1):22
    CrossRef
  249. Harris J, Zaki MJ. Neural Models for Generating Natural Language Summaries from Temporal Personal Health Data. Journal of Healthcare Informatics Research 2024;
    CrossRef
  250. Teixeira P, Eusébio C, Teixeira L. Understanding the integration of accessibility requirements in the development process of information systems: a systematic literature review. Requirements Engineering 2024;
    CrossRef
  251. Lee JL, Kim Y. Evaluation of Mobile Applications for Patients with Diabetes Mellitus: A Scoping Review. Healthcare 2024;12(3):368
    CrossRef
  252. Díaz-Mohedo E, Carrillo-León AL, Calvache-Mateo A, Ptak M, Romero-Franco N, Carlos-Fernández J. App-Mohedo®: A mobile app for the management of chronic pelvic pain. A design and development study. International Journal of Medical Informatics 2024;186:105410
    CrossRef
  253. McCarthy B, Sabharwal JK, Chawla S. Old age or cognitive decline? Examining the usability of a mobile health app for older Australians. Informatics for Health and Social Care 2024;49(1):83
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2968):

  1. Butt SM, Navarro KF, Shorab M, Butt SM, Onn A. New Advances in Information Systems and Technologies. 2016. Chapter 1:3
    CrossRef
  2. . The Handbook of Applied Communication Research. 2020. :863
    CrossRef
  3. Caldeira C, Chen Y. Perspectives on Human-Computer Interaction Research with Older People. 2019. Chapter 5:67
    CrossRef
  4. Farmer A, Pal K. Diabetes Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. 2018. Chapter 13:401
    CrossRef
  5. Bardram JE, Frost MM. Designing Healthcare That Works. 2018. :167
    CrossRef
  6. Allen NA, Litchman ML. Diabetes Digital Health. 2020. :131
    CrossRef
  7. Molina-Recio G, García-Hernández L, Castilla-Melero A, Palomo-Romero JM, Molina-Luque R, Sánchez-Muñoz AA, Arauzo-Azofra A, Salas-Morera L. Bioinformatics and Biomedical Engineering. 2015. Chapter 3:24
    CrossRef
  8. Pereira Guerreiro M, Brito Félix I, Balsa J, Carmo MB, Henriques MA, Cavaco A, Cláudio AP. Exploring the Role of ICTs in Healthy Aging. 2020. chapter 12:194
    CrossRef
  9. Vollmer Dahlke D, Ory M. Encyclopedia of Geropsychology. 2016. Chapter 289-1:1
    CrossRef
  10. Rossmann C, Krömer N. eHealth in Deutschland. 2016. Chapter 24:441
    CrossRef
  11. Radic M, Radic D. Automatisierung und Personalisierung von Dienstleistungen. 2020. Chapter 12:295
    CrossRef
  12. Isabell K, Sandra D. Technology and Health. 2020. :179
    CrossRef
  13. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. 2019. chapter 7:161
    CrossRef
  14. Farmer A, Pal K. Diabetes. Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. 2018. Chapter 13-1:1
    CrossRef
  15. Ye Q, Boren SA, Khan U, Kim MS. Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety. 2017. Chapter 11:108
    CrossRef
  16. Butt SM, Navarro KF. Information Science and Applications (ICISA) 2016. 2016. Chapter 137:1439
    CrossRef
  17. Brew-Sam N, Chib A. Technology and Health. 2020. :151
    CrossRef
  18. Paglialonga A, Mastropietro A, Scalco E, Rizzo G. m_Health Current and Future Applications. 2019. Chapter 2:5
    CrossRef
  19. Balsa J, Neves P, Félix I, Pereira Guerreiro M, Alves P, Carmo MB, Marques D, Dias A, Henriques A, Cláudio AP. Progress in Artificial Intelligence. 2019. Chapter 32:372
    CrossRef
  20. . Bridging the Family Care Gap. 2021. :367
    CrossRef
  21. Rucci E, Delía L, Pujol J, Erbino P, De Giusti A, Gagliardino JJ. Applied Informatics. 2020. Chapter 25:359
    CrossRef
  22. Attah BI, Alhassan JK, Oyefolahan IO, Bashir SA. Information and Communication Technology and Applications. 2021. Chapter 43:560
    CrossRef
  23. Gupta A, Khanna P, Kumar S. Blockchain for 5G-Enabled IoT. 2021. Chapter 16:401
    CrossRef
  24. Gupta K, Roy S. Next Generation of Internet of Things. 2023. Chapter 10:115
    CrossRef
  25. Danquah MK, Jeevanandam J. Emerging Nanomedicines for Diabetes Mellitus Theranostics. 2022. :1
    CrossRef
  26. Pereira Guerreiro M, Brito Félix I, Balsa J, Carmo MB, Henriques MA, Cavaco A, Cláudio AP. Research Anthology on Supporting Healthy Aging in a Digital Society. 2022. chapter 38:666
    CrossRef