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 05.04.17 in Vol 19, No 4 (2017): April

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

Works citing "Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6838):

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

  1. Langford AT, Solid CA, Scott E, Lad M, Maayan E, Williams SK, Seixas AA. Mobile Phone Ownership, Health Apps, and Tablet Use in US Adults With a Self-Reported History of Hypertension: Cross-Sectional Study. JMIR mHealth and uHealth 2019;7(1):e12228
    CrossRef
  2. Seifert A, Christen M, Martin M. Willingness of Older Adults to Share Mobile Health Data with Researchers. GeroPsych 2018;31(1):41
    CrossRef
  3. Petrovčič A, Rogelj A, Dolničar V. Smart but not adapted enough: Heuristic evaluation of smartphone launchers with an adapted interface and assistive technologies for older adults. Computers in Human Behavior 2018;79:123
    CrossRef
  4. Kimball SH, Singh G, John AB, Jenstad LM. Implications and attitudes of audiologists towards smartphone integration in hearing healthcare. Hearing Research 2018;369:15
    CrossRef
  5. Llorens-Vernet P, Miró J. Standards for Mobile Health–Related Apps: Systematic Review and Development of a Guide. JMIR mHealth and uHealth 2020;8(3):e13057
    CrossRef
  6. Hyde ET, Omura JD, Fulton JE, Weldy A, Carlson SA. Physical Activity Surveillance Using Wearable Activity Monitors: Are US Adults Willing to Share Their Data?. American Journal of Health Promotion 2020;34(6):672
    CrossRef
  7. Guan L, Peng T, Zhu JJ. Who is Tracking Health on Mobile Devices: Behavioral Logfile Analysis in Hong Kong. JMIR mHealth and uHealth 2019;7(5):e13679
    CrossRef
  8. Stühmann LM, Paprott R, Heidemann C, Baumert J, Hansen S, Zahn D, Scheidt-Nave C, Gellert P. Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey. JMIR Diabetes 2020;5(2):e14396
    CrossRef
  9. Mayer DK, Landucci G, Awoyinka L, Atwood AK, Carmack CL, Demark-Wahnefried W, McTavish F, Gustafson DH. SurvivorCHESS to increase physical activity in colon cancer survivors: can we get them moving?. Journal of Cancer Survivorship 2018;12(1):82
    CrossRef
  10. Liu H, Lee W, Sun Y, Fen J, Chen T, Chou L, Hwang S. Hospital-Owned Apps in Taiwan: Nationwide Survey. JMIR mHealth and uHealth 2018;6(1):e22
    CrossRef
  11. Cohen SA, Scherr CL, Nixon DM. An iPhone Application Intervention to Promote Surveillance Among Women with a BRCA Mutation: Pre‐intervention Data. Journal of Genetic Counseling 2018;27(2):446
    CrossRef
  12. Sill J, Steenbock B, Helmer S, Zeeb H, Pischke CR. Apps zur Förderung von körperlicher Aktivität – Nutzung und Einstellungen bei Erwachsenen im Alter von 50 Jahren und älter. Prävention und Gesundheitsförderung 2019;14(2):109
    CrossRef
  13. Raichle CJ, Eckstein J, Lapaire O, Leonardi L, Brasier N, Vischer AS, Burkard T. Performance of a Blood Pressure Smartphone App in Pregnant Women. Hypertension 2018;71(6):1164
    CrossRef
  14. Rojas Mezarina L, Silva-Valencia J, Escobar-Agreda S, Espinoza Herrera DH, Egoavil MS, Maceda Kuljich M, Inga-Berrospi F, Ronceros S. Need for the Development of a Specific Regulatory Framework for Evaluation of Mobile Health Apps in Peru: Systematic Search on App Stores and Content Analysis. JMIR mHealth and uHealth 2020;8(7):e16753
    CrossRef
  15. Ramey L, Osborne C, Kasitinon D, Juengst S. Apps and Mobile Health Technology in Rehabilitation. Physical Medicine and Rehabilitation Clinics of North America 2019;30(2):485
    CrossRef
  16. Lu C, Hu Y, Xie J, Fu Q, Leigh I, Governor S, Wang G. The Use of Mobile Health Applications to Improve Patient Experience: Cross-Sectional Study in Chinese Public Hospitals. JMIR mHealth and uHealth 2018;6(5):e126
    CrossRef
  17. Moghimi E, Davis CA, Rotondi M. eHealth Treatments for Compulsive Overeating: a Narrative Review. Current Addiction Reports 2020;7(3):395
    CrossRef
  18. Tassone C, Keshavjee K, Paglialonga A, Moreira N, Pinto J, Quintana Y. Evaluation of mobile apps for treatment of patients at risk of developing gestational diabetes. Health Informatics Journal 2020;26(3):1983
    CrossRef
  19. Krzyzanowski MC, Kizakevich PN, Duren-Winfield V, Eckhoff R, Hampton J, Blackman Carr LT, McCauley G, Roberson KB, Onsomu EO, Williams J, Price AA. Rams Have Heart, a Mobile App Tracking Activity and Fruit and Vegetable Consumption to Support the Cardiovascular Health of College Students: Development and Usability Study. JMIR mHealth and uHealth 2020;8(8):e15156
    CrossRef
  20. Beaunoyer E, Dupéré S, Guitton MJ. COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies. Computers in Human Behavior 2020;111:106424
    CrossRef
  21. Schlomann A, Seifert A, Rietz C. Relevance of Activity Tracking With Mobile Devices in the Relationship Between Physical Activity Levels and Satisfaction With Physical Fitness in Older Adults: Representative Survey. JMIR Aging 2019;2(1):e12303
    CrossRef
  22. Kang Y, Shen H, Lin C, Elwyn G, Huang S, Wu T, Hou W. Does a Mobile app improve patients’ knowledge of stroke risk factors and health-related quality of life in patients with stroke? A randomized controlled trial. BMC Medical Informatics and Decision Making 2019;19(1)
    CrossRef
  23. Meixner C, Baumann H, Wollesen B. Personality Traits, Gamification and Features to Develop an App to Reduce Physical Inactivity. Information 2020;11(7):367
    CrossRef
  24. Rumbold JMM, O'Kane M, Philip N, Pierscionek BK. Big Data and diabetes: the applications of Big Data for diabetes care now and in the future. Diabetic Medicine 2020;37(2):187
    CrossRef
  25. Sayma M, Tuijt R, Cooper C, Walters K, Heyn PC. Are We There Yet? Immersive Virtual Reality to Improve Cognitive Function in Dementia and Mild Cognitive Impairment. The Gerontologist 2020;60(7):e502
    CrossRef
  26. Langius-Eklöf A, Christiansen M, Lindström V, Blomberg K, Hälleberg Nyman M, Wengström Y, Sundberg K. Adherence to Report and Patient Perception of an Interactive App for Managing Symptoms During Radiotherapy for Prostate Cancer: Descriptive Study of Logged and Interview Data. JMIR Cancer 2017;3(2):e18
    CrossRef
  27. Seckin G, Hughes S. Patient-Reported Outcomes in a Nationally Representative Sample of Older Internet Users: Cross-sectional Survey. JMIR Aging 2021;4(4):e16006
    CrossRef
  28. König LM, Sproesser G, Schupp HT, Renner B. Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach. JMIR mHealth and uHealth 2018;6(3):e55
    CrossRef
  29. Sarker IH, Hoque MM, Uddin MK, Alsanoosy T. Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions. Mobile Networks and Applications 2021;26(1):285
    CrossRef
  30. Zucco R, Lavano F, Anfosso R, Bianco A, Pileggi C, Pavia M. Internet and social media use for antibiotic-related information seeking: Findings from a survey among adult population in Italy. International Journal of Medical Informatics 2018;111:131
    CrossRef
  31. López-Blanco R, Benito-León J, Llamas-Velasco S, Del Castillo M, Serrano J, Rocon E, Romero J, Velasco M. Interacción con pantalla táctil de smartphone en pacientes con temblor esencial y sujetos sanos. Neurología 2021;36(9):657
    CrossRef
  32. Bliss DZ, Gurvich OV, Patel S, Meyer I, Richter HE. Self-management of accidental bowel leakage and interest in a supportive m-Health app among women. International Urogynecology Journal 2020;31(6):1133
    CrossRef
  33. Lupton D, Maslen S. How Women Use Digital Technologies for Health: Qualitative Interview and Focus Group Study. Journal of Medical Internet Research 2019;21(1):e11481
    CrossRef
  34. Bidargaddi N, Almirall D, Murphy S, Nahum-Shani I, Kovalcik M, Pituch T, Maaieh H, Strecher V. To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App. JMIR mHealth and uHealth 2018;6(11):e10123
    CrossRef
  35. Mahmood A, Kedia S, Wyant DK, Ahn S, Bhuyan SS. Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions. DIGITAL HEALTH 2019;5:205520761988218
    CrossRef
  36. 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
  37. Dempsey RC, McAlaney J, Bewick BM. A Critical Appraisal of the Social Norms Approach as an Interventional Strategy for Health-Related Behavior and Attitude Change. Frontiers in Psychology 2018;9
    CrossRef
  38. Bruno M, Wright M, Baker CL, Emir B, Carda E, Clausen M, Sigler C, Patel A. Mobile App Usage Patterns of Patients Prescribed a Smoking Cessation Medicine: Prospective Observational Study. JMIR mHealth and uHealth 2018;6(4):e97
    CrossRef
  39. Seçkin G, Hughes S, Yeatts D, Degreve T. Digital Pathways to Positive Health Perceptions: Does Age Moderate the Relationship Between Medical Satisfaction and Positive Health Perceptions Among Middle-Aged and Older Internet Users?. Innovation in Aging 2019;3(1)
    CrossRef
  40. Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2020;55:101301
    CrossRef
  41. Rowe M, Sauls B. The use of smartphone apps in clinical practice: A survey of South African physiotherapists. South African Journal of Physiotherapy 2020;76(1)
    CrossRef
  42. Huang C, Chen S, Tang C, Huang H. A trade-off dual-factor model to investigate discontinuous intention of health app users: From the perspective of information disclosure. Journal of Biomedical Informatics 2019;100:103302
    CrossRef
  43. Li J, Chang X. Improving mobile health apps usage: a quantitative study on mPower data of Parkinson's disease. Information Technology & People 2021;34(1):399
    CrossRef
  44. Sezgin E, Weiler M, Weiler A, Lin S. Proposing an Ecosystem of Digital Health Solutions for Teens With Chronic Conditions Transitioning to Self-Management and Independence: Exploratory Qualitative Study. Journal of Medical Internet Research 2018;20(9):e10285
    CrossRef
  45. McKinney P, Cox AM, Sbaffi L. Information Literacy in Food and Activity Tracking Among Parkrunners, People With Type 2 Diabetes, and People With Irritable Bowel Syndrome: Exploratory Study. Journal of Medical Internet Research 2019;21(8):e13652
    CrossRef
  46. Dowd AJ, Warbeck CB, Tang KT, Fung T, Culos-Reed SN. MyHealthyGut: Findings from a pilot randomized controlled trial on adherence to a gluten-free diet and quality of life among adults with celiac disease or gluten intolerance. DIGITAL HEALTH 2020;6:205520762090362
    CrossRef
  47. Shi Y, Wei Y, Feng X, Liu J, Jiang Z, Ou F, Wei H, Lv G, Wan X, Wang Z, Yang Y. Distribution, genetic characteristics and public health implications of Triatoma rubrofasciata, the vector of Chagas disease in Guangxi, China. Parasites & Vectors 2020;13(1)
    CrossRef
  48. Mitchell L, Hussain Z. Predictors of Problematic Smartphone Use: An Examination of the Integrative Pathways Model and the Role of Age, Gender, Impulsiveness, Excessive Reassurance Seeking, Extraversion, and Depression. Behavioral Sciences 2018;8(8):74
    CrossRef
  49. Kitagawa T, Higuchi Y, Todo E, Ueda T, Ando S, Murakami T. Tailored feedback reduced prolonged sitting time and improved the health of housewives: a single-blind randomized controlled pilot study. Women & Health 2020;60(2):212
    CrossRef
  50. Baumel A, Muench F, Edan S, Kane JM. Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis. Journal of Medical Internet Research 2019;21(9):e14567
    CrossRef
  51. Benis A, Barak Barkan R, Sela T, Harel N. Communication Behavior Changes Between Patients With Diabetes and Healthcare Providers Over 9 Years: Retrospective Cohort Study. Journal of Medical Internet Research 2020;22(8):e17186
    CrossRef
  52. Zhang Y, Liu C, Luo S, Huang J, Li X, Zhou Z. Effectiveness of Lilly Connected Care Program (LCCP) App-Based Diabetes Education for Patients With Type 2 Diabetes Treated With Insulin: Retrospective Real-World Study. JMIR mHealth and uHealth 2020;8(3):e17455
    CrossRef
  53. Poulton A, Pan J, Bruns Jr LR, Sinnott RO, Hester R. A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity. JMIR mHealth and uHealth 2019;7(3):e11157
    CrossRef
  54. Boriani G, Schnabel RB, Healey JS, Lopes RD, Verbiest-van Gurp N, Lobban T, Camm JA, Freedman B. Consumer-led screening for atrial fibrillation using consumer-facing wearables, devices and apps: A survey of health care professionals by AF-SCREEN international collaboration. European Journal of Internal Medicine 2020;82:97
    CrossRef
  55. Kanthawala S, Joo E, Kononova A, Peng W, Cotten S. Folk theorizing the quality and credibility of health apps. Mobile Media & Communication 2019;7(2):175
    CrossRef
  56. Abbate KJ, Hingle MD, Armin J, Giacobbi Jr P, Gordon JS. Recruiting Women to a Mobile Health Smoking Cessation Trial: Low- and No-Cost Strategies. JMIR Research Protocols 2017;6(11):e219
    CrossRef
  57. Ernsting C, Stühmann LM, Dombrowski SU, Voigt-Antons J, Kuhlmey A, Gellert P. Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey. JMIR mHealth and uHealth 2019;7(3):e12179
    CrossRef
  58. Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing LV, Monteith S, Faurholt-Jepsen M, Severus E, Whybrow PC. Smartphones in mental health: a critical review of background issues, current status and future concerns. International Journal of Bipolar Disorders 2020;8(1)
    CrossRef
  59. Dunphy E, Gardner EC. Telerehabilitation to Address the Rehabilitation Gap in Anterior Cruciate Ligament Care: Survey of Patients. JMIR Formative Research 2020;4(9):e19296
    CrossRef
  60. Smahel D, Elavsky S, Machackova H. Functions of mHealth applications: A user’s perspective. Health Informatics Journal 2019;25(3):1065
    CrossRef
  61. De Bruijn G, Dallinga JM, Deutekom M. Predictors of Walking App Users With Comparison of Current Users, Previous Users, and Informed Nonusers in a Sample of Dutch Adults: Questionnaire Study. JMIR mHealth and uHealth 2021;9(5):e13391
    CrossRef
  62. Hansen AH, Claudi T, Årsand E. Associations Between the Use of eHealth and Out-of-Hours Services in People With Type 1 Diabetes: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(3):e13465
    CrossRef
  63. Tark R, Metelitsa M, Akkermann K, Saks K, Mikkel S, Haljas K. Usability, Acceptability, Feasibility, and Effectiveness of a Gamified Mobile Health Intervention (Triumf) for Pediatric Patients: Qualitative Study. JMIR Serious Games 2019;7(3):e13776
    CrossRef
  64. Masood I, Wang Y, Daud A, Aljohani NR, Dawood H. Towards Smart Healthcare: Patient Data Privacy and Security in Sensor-Cloud Infrastructure. Wireless Communications and Mobile Computing 2018;2018:1
    CrossRef
  65. Lucero RJ, Frimpong JA, Fehlberg EA, Bjarnadottir RI, Weaver MT, Cook C, Modave F, Rathore MH, Morano JP, Ibanez G, Cook RL. The Relationship Between Individual Characteristics and Interest in Using a Mobile Phone App for HIV Self-Management: Observational Cohort Study of People Living With HIV. JMIR mHealth and uHealth 2017;5(7):e100
    CrossRef
  66. López-Blanco R, Benito-León J, Llamas-Velasco S, Del Castillo M, Serrano J, Rocon E, Romero J, Velasco M. Interaction with touchscreen smartphones in patients with essential tremor and healthy individuals. Neurología (English Edition) 2021;36(9):657
    CrossRef
  67. Glattacker M, Boeker M, Anger R, Reichenbach F, Tassoni A, Bredenkamp R, Giesler JM. Evaluation of a Mobile Phone App for Patients With Pollen-Related Allergic Rhinitis: Prospective Longitudinal Field Study. JMIR mHealth and uHealth 2020;8(4):e15514
    CrossRef
  68. del Río-Lanza A, Suárez-Vázquez A, Suárez-Álvarez L, Iglesias-Argüelles V. Mobile health (mhealth): facilitators and barriers of the intention of use in patients with chronic illnesses. Journal of Communication in Healthcare 2020;13(2):138
    CrossRef
  69. Kliemann N, Croker H, Johnson F, Beeken RJ. Development of the Top Tips Habit-Based Weight Loss App and Preliminary Indications of Its Usage, Effectiveness, and Acceptability: Mixed-Methods Pilot Study. JMIR mHealth and uHealth 2019;7(5):e12326
    CrossRef
  70. Stuber JM, Mackenbach JD, de Boer FE, de Bruijn G, Gillebaart M, Harbers MC, Hoenink JC, Klein MCA, Middel CNH, van der Schouw YT, Schuitmaker-Warnaar TJ, Velema E, Vos AL, Waterlander WE, Lakerveld J, Beulens JWJ. Reducing cardiometabolic risk in adults with a low socioeconomic position: protocol of the Supreme Nudge parallel cluster-randomised controlled supermarket trial. Nutrition Journal 2020;19(1)
    CrossRef
  71. Collado-Borrell R, Escudero-Vilaplana V, Calles A, Garcia-Martin E, Marzal-Alfaro B, Gonzalez-Haba E, Herranz-Alonso A, Sanjurjo-Saez M. Oncology Patient Interest in the Use of New Technologies to Manage Their Disease: Cross-Sectional Survey. Journal of Medical Internet Research 2018;20(10):e11006
    CrossRef
  72. Holzmann SL, Holzapfel C. A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults. Journal of Personalized Medicine 2019;9(2):31
    CrossRef
  73. Strain T, Wijndaele K, Brage S. Physical Activity Surveillance Through Smartphone Apps and Wearable Trackers: Examining the UK Potential for Nationally Representative Sampling. JMIR mHealth and uHealth 2019;7(1):e11898
    CrossRef
  74. Cobelli N, Chiarini A. Improving customer satisfaction and loyalty through mHealth service digitalization. The TQM Journal 2020;32(6):1541
    CrossRef
  75. Oedekoven M, Herrmann WJ, Ernsting C, Schnitzer S, Kanzler M, Kuhlmey A, Gellert P. Patients’ health literacy in relation to the preference for a general practitioner as the source of health information. BMC Family Practice 2019;20(1)
    CrossRef
  76. Hansen AH, Bradway M, Broz J, Claudi T, Henriksen , Wangberg SC, Årsand E. Inequalities in the Use of eHealth Between Socioeconomic Groups Among Patients With Type 1 and Type 2 Diabetes: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(5):e13615
    CrossRef
  77. Schmidt T, Mewes P, Hoffmann J, Müller‐von Aschwege F, Glitza JI, Schmitto JD, Schulte‐Eistrup S, Sindermann JR, Reiss N. Improved aftercare in LVAD patients: Development and feasibility of a smartphone application as a first step for telemonitoring. Artificial Organs 2020;44(3):248
    CrossRef
  78. Arsenijevic J, Tummers L, Bosma N. Adherence to Electronic Health Tools Among Vulnerable Groups: Systematic Literature Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(2):e11613
    CrossRef
  79. Ashley M, Pahl S, Glegg G, Fletcher S. A Change of Mind: Applying Social and Behavioral Research Methods to the Assessment of the Effectiveness of Ocean Literacy Initiatives. Frontiers in Marine Science 2019;6
    CrossRef
  80. Schairer CE, Cheung C, Kseniya Rubanovich C, Cho M, Cranor LF, Bloss CS. Disposition toward privacy and information disclosure in the context of emerging health technologies. Journal of the American Medical Informatics Association 2019;26(7):610
    CrossRef
  81. Johnston FH, Wheeler AJ, Williamson GJ, Campbell SL, Jones PJ, Koolhof IS, Lucani C, Cooling NB, Bowman DMJS. Using smartphone technology to reduce health impacts from atmospheric environmental hazards. Environmental Research Letters 2018;13(4):044019
    CrossRef
  82. Jayaraman PP, Forkan ARM, Morshed A, Haghighi PD, Kang Y. Healthcare 4.0: A review of frontiers in digital health. WIREs Data Mining and Knowledge Discovery 2020;10(2)
    CrossRef
  83. 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
  84. Madrigal L, Escoffery C. Electronic Health Behaviors Among US Adults With Chronic Disease: Cross-Sectional Survey. Journal of Medical Internet Research 2019;21(3):e11240
    CrossRef
  85. Chen S, Sun G, Cen X, Liu J, Ye J, Chen J, Lei L, He Y, Song F, Guo W, Liang Y, Hu Y, Chen K, Chen L, Tan N, Liu Y. Characteristics and requirements of hypertensive patients willing to use digital health tools in the Chinese community: a multicentre cross-sectional survey. BMC Public Health 2020;20(1)
    CrossRef
  86. Akdur G, Aydin MN, Akdur G. Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik. JMIR mHealth and uHealth 2020;8(10):e16911
    CrossRef
  87. . Australian women’s use of health and fitness apps and wearable devices: a feminist new materialism analysis. Feminist Media Studies 2020;20(7):983
    CrossRef
  88. Ni Mhurchu C, Te Morenga L, Tupai-Firestone R, Grey J, Jiang Y, Jull A, Whittaker R, Dobson R, Dalhousie S, Funaki T, Hughes E, Henry A, Lyndon-Tonga L, Pekepo C, Penetito-Hemara D, Tunks M, Verbiest M, Humphrey G, Schumacher J, Goodwin D. A co-designed mHealth programme to support healthy lifestyles in Māori and Pasifika peoples in New Zealand (OL@-OR@): a cluster-randomised controlled trial. The Lancet Digital Health 2019;1(6):e298
    CrossRef
  89. Bosak K, Park SH. Characteristics of Adults Seeking Health Care Provider Support Facilitated by Mobile Technology: Secondary Data Analysis. JMIR Human Factors 2017;4(4):e33
    CrossRef
  90. Kebede M, Steenbock B, Helmer SM, Sill J, Möllers T, Pischke CR. Identifying Evidence-Informed Physical Activity Apps: Content Analysis. JMIR mHealth and uHealth 2018;6(12):e10314
    CrossRef
  91. Griauzde DH, Kullgren JT, Liestenfeltz B, Richardson C, Heisler M. A mobile phone-based program to promote healthy behaviors among adults with prediabetes: study protocol for a pilot randomized controlled trial. Pilot and Feasibility Studies 2018;4(1)
    CrossRef
  92. Xie Z, Nacioglu A, Or C. Prevalence, Demographic Correlates, and Perceived Impacts of Mobile Health App Use Amongst Chinese Adults: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2018;6(4):e103
    CrossRef
  93. Kajitani K, Higashijima I, Kaneko K, Matsushita T, Fukumori H, Kim D, Hashimoto K. Short-term effect of a smartphone application on the mental health of university students: A pilot study using a user-centered design self-monitoring application for mental health. PLOS ONE 2020;15(9):e0239592
    CrossRef
  94. Böhm A, Jensen ML, Sørensen MR, Stargardt T. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study. JMIR mHealth and uHealth 2020;8(11):e22212
    CrossRef
  95. Luan L, Xiao W, Hwang K, Hossain MS, Muhammad G, Ghoneim A. MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing. IEEE Access 2020;8:195568
    CrossRef
  96. 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
  97. Wang L, Ren J, Fiscella KA, Bullock S, Sanders MR, Loomis EL, Eliav E, Mendoza M, Cacciato R, Thomas M, Kopycka-Kedzierawski DT, Billings RJ, Xiao J. Interprofessional collaboration and smartphone use as promising strategies to improve prenatal oral health care utilization among US underserved women: results from a qualitative study. BMC Oral Health 2020;20(1)
    CrossRef
  98. Aydin G, Silahtaroglu G, Khan FA. Insights into mobile health application market via a content analysis of marketplace data with machine learning. PLOS ONE 2021;16(1):e0244302
    CrossRef
  99. Alshathri DM, Alhumaimeedy AS, Al-Hudhud G, Alsaleh A, Al-Musharaf S, Aljuraiban GS. Weight Management Apps in Saudi Arabia: Evaluation of Features and Quality. JMIR mHealth and uHealth 2020;8(10):e19844
    CrossRef
  100. Reinecke F, Dittrich F, Dudda M, Stang A, Polan C, Müller R, Beck P, Kauther MD. Acceptance, Barriers, and Future Preferences of Mobile Health Among Patients Receiving Trauma and Orthopedic Surgical Care: Paper-Based Survey in a Prospective Multicenter Study. JMIR mHealth and uHealth 2021;9(4):e23784
    CrossRef
  101. Al Bander Z, Nitert MD, Mousa A, Naderpoor N. The Gut Microbiota and Inflammation: An Overview. International Journal of Environmental Research and Public Health 2020;17(20):7618
    CrossRef
  102. Zhang Y, Liu C, Luo S, Huang J, Yang Y, Ma X, Li X, Zhou Z. Effectiveness of the Family Portal Function on the Lilly Connected Care Program (LCCP) for Patients With Type 2 Diabetes: Retrospective Cohort Study With Propensity Score Matching. JMIR mHealth and uHealth 2021;9(2):e25122
    CrossRef
  103. Parker K, Uddin R, Ridgers ND, Brown H, Veitch J, Salmon J, Timperio A, Sahlqvist S, Cassar S, Toffoletti K, Maddison R, Arundell L. The Use of Digital Platforms for Adults’ and Adolescents’ Physical Activity During the COVID-19 Pandemic (Our Life at Home): Survey Study. Journal of Medical Internet Research 2021;23(2):e23389
    CrossRef
  104. Georgieva I, Beaunoyer E, Guitton MJ. Ensuring social acceptability of technological tracking in the COVID-19 context. Computers in Human Behavior 2021;116:106639
    CrossRef
  105. Stehr P, Karnowski V, Rossmann C. The multi-faceted usage patterns of nutrition apps: a survey on the appropriation of nutrition apps among German-speaking users of MyFitnessPal. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  106. Liu AY, Laborde ND, Coleman K, Vittinghoff E, Gonzalez R, Wilde G, Thorne AL, Ikeguchi E, Shafner L, Sunshine L, van der Straten A, Siegler AJ, Buchbinder S. DOT Diary: Developing a Novel Mobile App Using Artificial Intelligence and an Electronic Sexual Diary to Measure and Support PrEP Adherence Among Young Men Who Have Sex with Men. AIDS and Behavior 2021;25(4):1001
    CrossRef
  107. Lee PH, Tse ACY, Wu CST, Mak YW, Lee U. Temporal association between objectively measured smartphone usage, sleep quality and physical activity among Chinese adolescents and young adults. Journal of Sleep Research 2021;30(4)
    CrossRef
  108. Meinhart F, Stütz T, Sareban M, Kulnik ST, Niebauer J. Mobile Technologies to Promote Physical Activity during Cardiac Rehabilitation: A Scoping Review. Sensors 2020;21(1):65
    CrossRef
  109. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357
    CrossRef
  110. Hwang WJ, Ha JS, Kim MJ. Research Trends on Mobile Mental Health Application for General Population: A Scoping Review. International Journal of Environmental Research and Public Health 2021;18(5):2459
    CrossRef
  111. Van Asbroeck S, van Boxtel MP, Steyaert J, Köhler S, Heger I, de Vugt M, Verhey F, Deckers K. Increasing knowledge on dementia risk reduction in the general population: Results of a public awareness campaign. Preventive Medicine 2021;147:106522
    CrossRef
  112. Juengst SB, Terhorst L, Nabasny A, Wallace T, Weaver JA, Osborne CL, Burns SP, Wright B, Wen P, Kew CN, Morris J. Use of mHealth Technology for Patient-Reported Outcomes in Community-Dwelling Adults with Acquired Brain Injuries: A Scoping Review. International Journal of Environmental Research and Public Health 2021;18(4):2173
    CrossRef
  113. Liu Y, Jiang F, Lin P. Influence Mechanism of the Affordances of Chronic Disease Management Apps on Continuance Intention: Questionnaire Study. JMIR mHealth and uHealth 2021;9(5):e21831
    CrossRef
  114. Yoo HJ, Suh EE. Effects of a smartphone-based self-care health diary for heart transplant recipients: A mixed methods study. Applied Nursing Research 2021;58:151408
    CrossRef
  115. Wangler J, Jansky M. The use of health apps in primary care—results from a survey amongst general practitioners in Germany. Wiener Medizinische Wochenschrift 2021;171(7-8):148
    CrossRef
  116. Miró J, Llorens-Vernet P. Assessing the Quality of Mobile Health-Related Apps: Interrater Reliability Study of Two Guides. JMIR mHealth and uHealth 2021;9(4):e26471
    CrossRef
  117. Onyeaka HK, Zambrano J, Longley RM, Celano CM, Naslund JA, Amonoo HL. Use of digital health tools for health promotion in cancer survivors. Psycho-Oncology 2021;30(8):1302
    CrossRef
  118. Esser P, Mehnert-Theuerkauf A. Cancer-Survivorship-Care-Programme und Selbstmanagement. Der Onkologe 2021;27(8):766
    CrossRef
  119. Dissing AS, Andersen TO, Nørup LN, Clark A, Nejsum M, Rod NH. Daytime and nighttime smartphone use: A study of associations between multidimensional smartphone behaviours and sleep among 24,856 Danish adults. Journal of Sleep Research 2021;30(6)
    CrossRef
  120. Srikanth N, Rana R, Singhal R, Jameela S, Singh R, Khanduri S, Tripathi A, Goel S, Chhatre L, Chandra A, Rao BCS, Dhiman KS. Mobile App–Reported Use of Traditional Medicine for Maintenance of Health in India During the COVID-19 Pandemic: Cross-sectional Questionnaire Study. JMIRx Med 2021;2(2):e25703
    CrossRef
  121. Austin RR, Mathiason MA, Lindquist RA, McMahon SK, Pieczkiewicz DS, Monsen KA. Understanding Women’s Cardiovascular Health Using MyStrengths+MyHealth: A Patient‐Generated Data Visualization Study of Strengths, Challenges, and Needs Differences. Journal of Nursing Scholarship 2021;53(5):634
    CrossRef
  122. Qan’ir Y, Khalifeh AH, Eid M, Hammad B, Al-Batran M. Mobile health apps use among Jordanian outpatients: A descriptive study. Health Informatics Journal 2021;27(2):146045822110179
    CrossRef
  123. Zhang X, Gao F, Liao S, Zhou F, Cai G, Li S. Portraying Citizens’ Occupations and Assessing Urban Occupation Mixture with Mobile Phone Data: A Novel Spatiotemporal Analytical Framework. ISPRS International Journal of Geo-Information 2021;10(6):392
    CrossRef
  124. Oshima SM, Tait SD, Thomas SM, Fayanju OM, Ingraham K, Barrett NJ, Hwang ES. Association of Smartphone Ownership and Internet Use With Markers of Health Literacy and Access: Cross-sectional Survey Study of Perspectives From Project PLACE (Population Level Approaches to Cancer Elimination). Journal of Medical Internet Research 2021;23(6):e24947
    CrossRef
  125. Bennett RJ, Swanepoel DW, Ratinaud P, Bailey A, Pennebaker JW, Manchaiah V. Hearing aid acquisition and ownership: what can we learn from online consumer reviews?. International Journal of Audiology 2021;60(11):917
    CrossRef
  126. Zhang H, Yin Y, Wang H, Han Y, Wang X, Liu Y, Chen H. Identification of Self-Management Behavior Clusters Among People Living with HIV in China: A Latent Class Profile Analysis. Patient Preference and Adherence 2021;Volume 15:1427
    CrossRef
  127. Baek Y, Jeong K, Lee S, Kim H, Seo B, Jin H. Feasibility and Effectiveness of Assessing Subhealth Using a Mobile Health Management App (MibyeongBogam) in Early Middle-Aged Koreans: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(8):e27455
    CrossRef
  128. König LM, Attig C, Franke T, Renner B. Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework. JMIR mHealth and uHealth 2021;9(6):e20037
    CrossRef
  129. Onyeaka H, Firth J, Kessler RC, Lovell K, Torous J. Use of smartphones, mobile apps and wearables for health promotion by people with anxiety or depression: An analysis of a nationally representative survey data. Psychiatry Research 2021;304:114120
    CrossRef
  130. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308
    CrossRef
  131. Materia FT, Smyth JM. Acceptability of Intervention Design Factors in mHealth Intervention Research: Experimental Factorial Study. JMIR mHealth and uHealth 2021;9(7):e23303
    CrossRef
  132. Cooray N, Sun SL, Ho C, Adams S, Keay L, Nassar N, Brown J. Toward a Behavior Theory–Informed and User-Centered Mobile App for Parents to Prevent Infant Falls: Development and Usability Study. JMIR Pediatrics and Parenting 2021;4(4):e29731
    CrossRef
  133. Ben-Ari E, Kirschenbaum J, Patel RG, Kwon YW, Rokito AS, Zuckerman JD, Virk MS. The future of health care service in orthopedic practice: telemedicine or in-person visits?. Journal of Shoulder and Elbow Surgery 2021;30(12):e703
    CrossRef
  134. Skiba MB, Jacobs ET, Crane TE, Kopp LM, Thomson CA. Relationship Between Individual Health Beliefs and Fruit and Vegetable Intake and Physical Activity Among Cancer Survivors: Results from the Health Information National Trends Survey. Journal of Adolescent and Young Adult Oncology 2022;11(3):259
    CrossRef
  135. Benoit J, Hartling L, Chan M, Scott S. Characteristics of Acute Childhood Illness Apps for Parents: Environmental Scan. Journal of Medical Internet Research 2021;23(10):e29441
    CrossRef
  136. Guza E, Gao L, Lippke S. Internet behavior and satisfaction with sleep, health, quality of life and physical activity self-efficacy as components of subjective well-being: Findings from an online survey. Europe’s Journal of Psychology 2022;18(4):357
    CrossRef
  137. Al Meslamani AZ, Aldulaymi R, El Sharu H, Alwarawrah Z, Ibrahim OM, Al Mazrouei N. The patterns and determinants of telemedicine use during the COVID-19 crisis: A nationwide study. Journal of the American Pharmacists Association 2022;62(6):1778
    CrossRef
  138. Koivuniemi E, Raats MM, Ollila H, Löyttyniemi E, Laitinen K. Characterising the use, users and effects of a health app supporting lifestyle changes in pregnant women. British Journal of Nutrition 2023;130(3):433
    CrossRef
  139. . A Review of the Quality and Impact of Mobile Health Apps. Annual Review of Public Health 2022;43(1):117
    CrossRef
  140. Wakob I, Schmid GL, Nöhring I, Elze R, Sultzer R, Frese T, Schiek S, Bertsche T. Developing a Mobile Health Application to Communicate Adverse Drug Reactions – Preconditions, Assessment of Possible Functionalities and Barriers for Patients and Their General Practitioners. Journal of Multidisciplinary Healthcare 2022;Volume 15:1445
    CrossRef
  141. Wenz B, Graf J, Du Y, Teti A, Gabrys L. Physical Activity Treatment in Adults with Type 2 Diabetes Mellitus per National Treatment Guidelines for Germany: A Telephone-Survey-Based Analysis. Healthcare 2022;10(10):1857
    CrossRef
  142. Wangler J, Jansky M. Digitale Gesundheitsanwendungen (DiGA) in der Primärversorgung – Erfahrungen und Beobachtungen von Hausärzt*innen hinsichtlich der Anwendung von DiGA. Prävention und Gesundheitsförderung 2023;18(4):483
    CrossRef
  143. Marinho CLA, Gomes OV, Silva Junior GBD, Schwingel PA. Smartphone and application use in self-management of chronic kidney disease: a cross-sectional feasibility study. Sao Paulo Medical Journal 2023;141(4)
    CrossRef
  144. Schneider V, Kale D, Herbec A, Beard E, Fisher A, Shahab L. UK Adults’ Exercise Locations, Use of Digital Programs, and Associations with Physical Activity During the COVID-19 Pandemic: Longitudinal Analysis of Data From the Health Behaviours During the COVID-19 Pandemic Study. JMIR Formative Research 2022;6(6):e35021
    CrossRef
  145. Paradis S, Roussel J, Bosson J, Kern J. Use of Smartphone Health Apps Among Patients Aged 18 to 69 Years in Primary Care: Population-Based Cross-sectional Survey. JMIR Formative Research 2022;6(6):e34882
    CrossRef
  146. Mehnert-Theuerkauf A, Esser P. Survivorship-Care-Programme für Krebspatienten: die Bedeutung von Risikostratifizierung, Selbstmanagement- und Gesundheitskompetenzen im Zeitalter digitaler Versorgung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2022;65(4):412
    CrossRef
  147. Omura JD, Whitfield GP, Chen TJ, Hyde ET, Ussery EN, Watson KB, Carlson SA. Surveillance of Physical Activity and Sedentary Behavior Among Youth and Adults in the United States: History and Opportunities. Journal of Physical Activity and Health 2021;18(S1):S6
    CrossRef
  148. Heselton T, Bennett RJ, Manchaiah V, Swanepoel DW. Online Reviews of Hearing Aid Acquisition and Use: A Qualitative Thematic Analysis. American Journal of Audiology 2022;31(2):284
    CrossRef
  149. Devine JK, Schwartz LP, Hursh SR. Technical, Regulatory, Economic, and Trust Issues Preventing Successful Integration of Sensors into the Mainstream Consumer Wearables Market. Sensors 2022;22(7):2731
    CrossRef
  150. Hansen ST, Ehrari H, Kristiansen S, Olsen LS, Jensen RS, Kjær TW, Beck M. User perspectives and preferences regarding a mobile health cough application: A qualitative study during the coronavirus disease pandemic in Denmark. DIGITAL HEALTH 2021;7:205520762110455
    CrossRef
  151. Gosetto L, Pittavino M, Falquet G, Ehrler F. Personalization of Mobile Apps for Health Behavior Change: Protocol for a Cross-sectional Study. JMIR Research Protocols 2023;12:e38603
    CrossRef
  152. Khurana MP, Raaschou-Pedersen DE, Kurtzhals J, Bardram JE, Ostrowski SR, Bundgaard JS. Digital health competencies in medical school education: a scoping review and Delphi method study. BMC Medical Education 2022;22(1)
    CrossRef
  153. Patel RJS, Ding J, Marvel FA, Shan R, Plante TB, Blaha MJ, Post WS, Martin SS. Associations of Demographic, Socioeconomic, and Cognitive Characteristics With Mobile Health Access: MESA (Multi‐Ethnic Study of Atherosclerosis). Journal of the American Heart Association 2022;11(17)
    CrossRef
  154. Elnaggar A, von Oppenfeld J, Whooley MA, Merek S, Park LG. Applying Mobile Technology to Sustain Physical Activity After Completion of Cardiac Rehabilitation: Acceptability Study. JMIR Human Factors 2021;8(3):e25356
    CrossRef
  155. Hassett MJ, Wong S, Osarogiagbon RU, Bian J, Dizon DS, Jenkins HH, Uno H, Cronin C, Schrag D. Implementation of patient-reported outcomes for symptom management in oncology practice through the SIMPRO research consortium: a protocol for a pragmatic type II hybrid effectiveness-implementation multi-center cluster-randomized stepped wedge trial. Trials 2022;23(1)
    CrossRef
  156. Alnakhi WK, Mamdouh H, Hussain HY, Mudawi MS, Ibrahim GM, Al Balushi AJ, Al Zarooni N, Elnaeem A, Natafgi N. Doctor for Every Citizen: Telehealth Visits at Dubai Health Authority during COVID-19 Pandemic in Dubai, United Arab Emirates. Healthcare 2023;11(3):294
    CrossRef
  157. Puspitasari IW, Rinawan FR, Purnama WG, Susiarno H, Susanti AI. Development of a Chatbot for Pregnant Women on a Posyandu Application in Indonesia: From Qualitative Approach to Decision Tree Method. Informatics 2022;9(4):88
    CrossRef
  158. Gulec H, Smahel D. Individual and Parental Factors of Adolescents’ mHealth App Use: Nationally Representative Cross-sectional Study. JMIR mHealth and uHealth 2022;10(12):e40340
    CrossRef
  159. Cao J, Kurata K, Lim Y, Sengoku S, Kodama K. Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model. International Journal of Environmental Research and Public Health 2022;19(22):15156
    CrossRef
  160. Vieira WDO, Ostolin TLVDP, Simões MDSMP, Proença NL, Dourado VZ. Profile of adults users of smartphone applications for monitoring the level of physical activity and associated factors: A cross-sectional study. Frontiers in Public Health 2022;10
    CrossRef
  161. Braswell M, Wally MK, Kempton LB, Seymour RB, Hsu JR, Karunakar M, Afetse KE, Bailey G, Bosse M, Brownrigg M, Cuadra M, Dixon A, Girardi C, Grochowski E, Hysong A, Jolissaint J, Macknet D, Mayberry RM, Moody P, Peterson K, Phelps KD, Pollock H, Posey SL, Reid R, Roe K, Scannell B, Sims S, Stanley A, Wohler AD. Age and socioeconomic status affect access to telemedicine at an urban level 1 trauma center. OTA International: The Open Access Journal of Orthopaedic Trauma 2021;4(4):e155
    CrossRef
  162. Yoo HJ, Suh EE. Development of a Mobile App-Based Self-care Health Diary for Heart Transplant Recipients. CIN: Computers, Informatics, Nursing 2021;39(11):804
    CrossRef
  163. Vercell A, Gasteiger N, Yorke J, Dowding D. Patient-facing cancer mobile apps that enable patient reported outcome data to be collected: A systematic review of content, functionality, quality, and ability to integrate with electronic health records. International Journal of Medical Informatics 2023;170:104931
    CrossRef
  164. Tršan J, Košuta D, Rajkovič U, Fras Z, Jug B, Novaković M. Vascular Function in Patients After Myocardial Infarction: The Importance of Physical Activity. Frontiers in Physiology 2021;12
    CrossRef
  165. Zhang Y, Zhang H, Li S, Li Y, Hu C, Li H. Development of a short-form Chinese health literacy scale for low salt consumption (CHLSalt-22) and its validation among hypertensive patients. BMC Nutrition 2022;8(1)
    CrossRef
  166. . Role of politically motivated internet addiction and ideological passion in linking college student's mental health education and wellbeing. Frontiers in Psychiatry 2022;13
    CrossRef
  167. Kruglov EA, Yatsenko DA, Zargarova AE, Demenok DV. Radiology department of geriatric hospital: staff-patient interactions. Russian Journal of Geriatric Medicine 2022;(3):150
    CrossRef
  168. . ICT for healthy and active aging: The elderly as first and last movers. Telecommunications Policy 2022;46(3):102262
    CrossRef
  169. Fu S, Fang J, Cai Z, Lim ETK, Tan C, Yang H. Advancing health-related abilities and behaviors via health apps: a large-scale survey from self-regulation perspective. Internet Research 2022;32(4):1097
    CrossRef
  170. Dogruel L, Joeckel S, Henke J. Disclosing Personal Information in mHealth Apps. Testing the Role of Privacy Attitudes, App Habits, and Social Norm Cues. Social Science Computer Review 2023;41(5):1791
    CrossRef
  171. Ping Y, Visaria A, Suppiah SD, Tan YW, Malhotra R. Prevalence and correlates of medication reminder app ‘use and use intention’ among older adults. Exploratory Research in Clinical and Social Pharmacy 2022;6:100150
    CrossRef
  172. Baer N, Vietzke J, Schenk L, Jutai J. Middle-aged and older adults’ acceptance of mobile nutrition and fitness apps: A systematic mixed studies review. PLOS ONE 2022;17(12):e0278879
    CrossRef
  173. Chowdhury SZ, Stevens S, Wu C, Woodward C, Andrews T, Ashall-Payne L, Leigh S. An age-old problem or an old-age problem? A UK survey of attitudes, historical use and recommendations by healthcare professionals to use healthcare apps. BMC Geriatrics 2023;23(1)
    CrossRef
  174. Brenk-Franz K, Leonhardt LJ, Strauß B. Attachment and patient activation as predictors of the interest and use of telemedical health applications –results of an observational study in primary health care. BMC Primary Care 2022;23(1)
    CrossRef
  175. Ali ZS, Dang H. Factors impacting the use of the NZ COVID Tracer application in New Zealand". Smart Health 2022;24:100278
    CrossRef
  176. Herrera S, Salazar A, Nazar G. Barriers and Supports in eHealth Implementation among People with Chronic Cardiovascular Ailments: Integrative Review. International Journal of Environmental Research and Public Health 2022;19(14):8296
    CrossRef
  177. Strain T, Wijndaele K, Pearce M, Brage S. Considerations for the Use of Consumer-Grade Wearables and Smartphones in Population Surveillance of Physical Activity. Journal for the Measurement of Physical Behaviour 2022;5(1):8
    CrossRef
  178. Al-Jallad N, Ly-Mapes O, Hao P, Ruan J, Ramesh A, Luo J, Wu TT, Dye T, Rashwan N, Ren J, Jang H, Mendez L, Alomeir N, Bullock S, Fiscella K, Xiao J, Chua Chin Heng M. Artificial intelligence-powered smartphone application, AICaries, improves at-home dental caries screening in children: Moderated and unmoderated usability test. PLOS Digital Health 2022;1(6):e0000046
    CrossRef
  179. Wangler J, Jansky M. Welche Potenziale und Mehrwerte bieten DiGA für die hausärztliche Versorgung? – Ergebnisse einer Befragung von Hausärzt*innen in Deutschland. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2022;65(12):1334
    CrossRef
  180. Cao L, Chongsuvivatwong V, McNeil EB. The Sociodemographic Digital Divide in Mobile Health App Use Among Clients at Outpatient Departments in Inner Mongolia, China: Cross-sectional Survey Study. JMIR Human Factors 2022;9(2):e36962
    CrossRef
  181. Stamp LK, Gaffo AL. Self-management of gout using a mobile app. The Lancet Rheumatology 2022;4(5):e304
    CrossRef
  182. De-Jongh González O, Tugault-Lafleur CN, Buckler EJ, Hamilton J, Ho J, Buchholz A, Morrison KM, Ball GD, Mâsse LC. The Aim2Be mHealth Intervention for Children With Overweight or Obesity and Their Parents: Person-Centered Analyses to Uncover Digital Phenotypes. Journal of Medical Internet Research 2022;24(6):e35285
    CrossRef
  183. Kamilu Sulaiman S, Wong AY, Liangchi Li L, Fordjour Antwi-Afari M, Ou H, WH Tsang H. The use of mobile health technology in the management of osteoarthritis: A scoping review with scientometric analyses. International Journal of Medical Informatics 2023;170:104937
    CrossRef
  184. Li L, Ding H. The Relationship between Internet Use and Population Health: A Cross-Sectional Survey in China. International Journal of Environmental Research and Public Health 2022;19(3):1322
    CrossRef
  185. Fritsch SJ, Blankenheim A, Wahl A, Hetfeld P, Maassen O, Deffge S, Kunze J, Rossaint R, Riedel M, Marx G, Bickenbach J. Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients. DIGITAL HEALTH 2022;8:205520762211167
    CrossRef
  186. Park S, Park Y. Factors Influencing on Intention to Use Mobile Application for Health Promotion in Middle Aged Women: Applying the Health Belief Model. The Korean Journal of Rehabilitation Nursing 2022;25(2):91
    CrossRef
  187. Uncovska M, Freitag B, Meister S, Fehring L. Patient Acceptance of Prescribed and Fully Reimbursed mHealth Apps in Germany: An UTAUT2-based Online Survey Study. Journal of Medical Systems 2023;47(1)
    CrossRef
  188. Xiao J, Luo J, Ly-Mapes O, Wu TT, Dye T, Al Jallad N, Hao P, Ruan J, Bullock S, Fiscella K. Assessing a Smartphone App (AICaries) That Uses Artificial Intelligence to Detect Dental Caries in Children and Provides Interactive Oral Health Education: Protocol for a Design and Usability Testing Study. JMIR Research Protocols 2021;10(10):e32921
    CrossRef
  189. Ding MY, Wang W. Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model. International Journal of Human–Computer Interaction 2023;:1
    CrossRef
  190. Na L, Sheu J. Health and information disparities among non-adopters of smartphones. Health Policy and Technology 2022;11(1):100600
    CrossRef
  191. Kumar D, Bhardwaj A, Sharma S, Malhotra B, Amadi-Mgbenka C, Grover A, Joshi A. Designing and Evaluating a Personalized, Human-Centered Dietary Decision Support System for Use Among People With Diabetes in an Indian Setting: Protocol for a Quasi-Experimental Study. JMIR Research Protocols 2022;11(3):e13635
    CrossRef
  192. Xiao J, Fiscella KA, Meyerowitz C. mDentistry. The Journal of the American Dental Association 2021;152(9):713
    CrossRef
  193. Gasteiger N, Vercell A, Davies A, Dowding D, Khan N, Davies A. Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality. Journal of Community Genetics 2022;13(2):171
    CrossRef
  194. Al Ansari FS, Alfayez A, Alsalman D, Alanezi F, Alhodaib H, Al-Rayes S, Aljabri D, Alrawiai S, Alakrawi Z, Saadah A, Al-Juwair MM, Aljaffary A, AlThani B, Mushcab H, Alanzi TM, AlNujaidi H, Al-Saif AK, Attar R, Alumran A, Al-Mubarak S, Alyousef S. Using mobile health applications to enhance physical activity in Saudi Arabia: a cross-sectional study on users’ perceptions. International Health 2023;15(1):47
    CrossRef
  195. Austin RR, Martin CL, Jones CR, Lu S, Jantraporn R, Nestrasil I, Martin KS, Monsen KA. Translation and validation of the Omaha System into English language simplified Omaha System terms. Kontakt 2022;24(1):48
    CrossRef
  196. Marbin D, Gutwinski S, Lech S, Fürstenau D, Kokwaro L, Krüger H, Schindel D, Schreiter S. Use of digital technologies by users of psychiatric inpatient services in Berlin, Germany: a cross-sectional patient survey. BMJ Open 2023;13(3):e067311
    CrossRef
  197. Surdilovic D, Abdelaal H, D'Souza J. Using artificial intelligence in preventive dentistry: A narrative review. Journal of Datta Meghe Institute of Medical Sciences University 2023;18(1):146
    CrossRef
  198. Baumann MF, Weinberger N, Maia M, Schmid K. User types, psycho-social effects and societal trends related to the use of consumer health technologies. DIGITAL HEALTH 2023;9:205520762311639
    CrossRef
  199. Mahmood A, Kim H, Chang CF, Kedia S, Arshad H, Dillon PJ. mHealth Apps Use and Their Associations With Healthcare Decision-Making and Health Communication Among Informal Caregivers: Evidence From the National Cancer Institute’s Health Information National Trends Survey. American Journal of Health Promotion 2024;38(1):40
    CrossRef
  200. Fan S, Jain RC, Kankanhalli MS. A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications. ACM Transactions on Computing for Healthcare 2024;5(1):1
    CrossRef
  201. Smits M, Back N, Ebbers W. Responsible design and implementation of technologies for the prevention of infectious diseases: towards a values-based assessment framework for the Dutch government. Public Health 2023;222:29
    CrossRef
  202. Gao L, Keller FM, Becker P, Dahmen A, Lippke S. Predictors of Dropout Among Psychosomatic Rehabilitation Patients During the COVID-19 Pandemic: Secondary Analysis of a Longitudinal Study of Digital Training. Journal of Medical Internet Research 2023;25:e43584
    CrossRef
  203. Nissinen S, Pesonen S, Toivio P, Sormunen E. Occupational health professionals’ experiences with telehealth services: usage, perceived usefulness and ease of use. Health and Technology 2023;13(5):811
    CrossRef
  204. Shah N, Borrelli B, Kumar D. Perceptions about smartphone-based interventions to promote physical activity in inactive adults with knee pain – A qualitative study. Disability and Rehabilitation: Assistive Technology 2023;:1
    CrossRef
  205. Thompson AN, Dawson DR, Legasto-Mulvale JM, Chandran N, Tanchip C, Niemczyk V, Rashkovan J, Jeyakumar S, Wang RH, Cameron JI, Nalder E. Mobile Technology–Based Interventions for Stroke Self-Management Support: Scoping Review. JMIR mHealth and uHealth 2023;11:e46558
    CrossRef
  206. SARI C, DEMİRBAĞ BC. The Effect of Clean Intermittent Catheterization-Based Nursing Interventions on the Knowledge, Skill, Coping, Adaptation, Anxiety in Caregivers and Infection in Children: A Randomized Controlled Study Protocol. Halk Sağlığı Hemşireliği Dergisi 2023;5(3):286
    CrossRef
  207. Holmen H, Flølo T, Tørris C, Løyland B, Almendingen K, Bjørnnes AK, Albertini Früh E, Grov EK, Helseth S, Kvarme LG, Malambo R, Misvær N, Rasalingam A, Riiser K, Sandbekken IH, Schippert AC, Sparboe-Nilsen B, Sundar TKB, Sæterstrand T, Utne I, Valla L, Winger A, Torbjørnsen A. Unpacking the Public Health Triad of Social Inequality in Health, Health Literacy, and Quality of Life—A Scoping Review of Research Characteristics. International Journal of Environmental Research and Public Health 2023;21(1):36
    CrossRef
  208. Pérez-Jorge D, Martínez-Murciano MC, Contreras-Madrid AI, Alonso-Rodríguez I. The Relationship between Gamified Physical Exercise and Mental Health in Adolescence: An Example of Open Innovation in Gamified Learning. Healthcare 2024;12(2):124
    CrossRef
  209. Atluri N, Mishra SR, Anderson T, Stevens R, Edwards A, Luff E, Nallamothu BK, Golbus JR. Acceptability of a Text Message‐Based Mobile Health Intervention to Promote Physical Activity in Cardiac Rehabilitation Enrollees: A Qualitative Substudy of Participant Perspectives. Journal of the American Heart Association 2024;13(2)
    CrossRef
  210. Weik L, Fehring L, Mortsiefer A, Meister S. Big 5 Personality Traits and Individual- and Practice-Related Characteristics as Influencing Factors of Digital Maturity in General Practices: Quantitative Web-Based Survey Study. Journal of Medical Internet Research 2024;26:e52085
    CrossRef
  211. Kreyenschulte T, Bohnet-Joschko S. Transparenz und Effizienz durch digitale Gesundheitsversorgung? Ergebnisse eines Surveys der Generation Y. Das Gesundheitswesen 2024;86(01):49
    CrossRef
  212. Stuber JM, Mackenbach JD, de Bruijn G, Gillebaart M, Hoenink JC, Middel CNH, de Ridder DTD, van der Schouw YT, Smit EG, Velema E, Vos AL, Waterlander WE, Lakerveld J, Beulens JWJ, Rutters F, Blom S, de Boer FE, Klein MC, Broerse JEW, Schuitmaker-Warnaar T, Sluijs I, Harbers MC. Real-world nudging, pricing, and mobile physical activity coaching was insufficient to improve lifestyle behaviours and cardiometabolic health: the Supreme Nudge parallel cluster-randomised controlled supermarket trial. BMC Medicine 2024;22(1)
    CrossRef
  213. Turnbull SL, Dack C, Lei J, Aksu I, Grant S, Lasseter G, Silarova B, Ainsworth B. Barriers and facilitators to use of digital health tools by healthcare practitioners and their patients, before and during the COVID-19 pandemic: a multimethods study. BMJ Open 2024;14(3):e080055
    CrossRef
  214. Wangler J, Jansky M. How can primary care benefit from digital health applications? – a quantitative, explorative survey on attitudes and experiences of general practitioners in Germany. BMC Digital Health 2024;2(1)
    CrossRef
  215. Lang V, Šorgo A. DIFFERENCES IN THE WISHES OF STUDENTS, TEACHERS, AND PARENTS ON INTEGRATION OF SMARTPHONES AND TABLETS IN BIOLOGY LESSONS. Journal of Baltic Science Education 2024;23(1):45
    CrossRef
  216. Zrubka Z, Champion A, Holtorf A, Di Bidino R, Earla JR, Boltyenkov AT, Tabata-Kelly M, Asche C, Burrell A. The PICOTS-ComTeC Framework for Defining Digital Health Interventions: An ISPOR Special Interest Group Report. Value in Health 2024;27(4):383
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6838):

  1. Waligóra J, Bujnowska–Fedak MM. Medical Science and Research. 2019. Chapter 335:19
    CrossRef
  2. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara CA, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. 2018. Chapter 6:101
    CrossRef
  3. . The Modern Hospital. 2019. Chapter 15:145
    CrossRef
  4. Shen L, Ye B, Sun H, Lin Y, van Wietmarschen H, Shen B. Healthcare and Big Data Management. 2017. Chapter 9:149
    CrossRef
  5. Petersen F, Baker A, Pather S, Tucker WD. Responsible Design, Implementation and Use of Information and Communication Technology. 2020. Chapter 7:73
    CrossRef
  6. Lidynia C, Brauner P, Burbach L, Ziefle M. Advances in Human Factors in Wearable Technologies and Game Design. 2019. Chapter 12:123
    CrossRef
  7. Cerrato P, Halamka J. The Transformative Power of Mobile Medicine. 2019. :41
    CrossRef
  8. Schlomann A, Rasche P, Seifert A, Schäfer K, Wille M, Bröhl C, Theis S, Mertens A. Augmented Reality Games II. 2019. Chapter 7:159
    CrossRef
  9. Pinkney E, Wong HF, Wong PF. Primary Care Revisited. 2020. Chapter 17:277
    CrossRef
  10. Lidynia C, Schomakers E, Ziefle M. Advances in Human Factors in Wearable Technologies and Game Design. 2019. Chapter 5:41
    CrossRef
  11. Offermann-van Heek J, Wilkowska W, Ziefle M. Human Aspects of IT for the Aged Population. Healthy and Active Aging. 2020. Chapter 37:510
    CrossRef
  12. Rossmann C, Jöckel S. Soziales Medienhandeln. 2019. Chapter 13:161
    CrossRef
  13. Brito WE, Scardovelli TA, Silva AP, Navarro RS, Magalhães DSF, Cogo JC. XXVI Brazilian Congress on Biomedical Engineering. 2019. Chapter 125:815
    CrossRef
  14. Seçkin G, Hughes S, Hudson C, Laljer D, Yeatts D. eHealth: Current Evidence, Promises, Perils and Future Directions. 2018. :205
    CrossRef
  15. . Navigating Digital Health Landscapes. 2021. Chapter 10:193
    CrossRef
  16. Ansehl A, Leddy T. Technology and Global Public Health. 2020. Chapter 9:69
    CrossRef
  17. Haque R, Ho S, Chai I, Teoh C, Abdullah A, Tan C, Dollmat KS. Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices. 2021. Chapter 26:297
    CrossRef
  18. . COVID-19 and a World of Ad Hoc Geographies. 2022. Chapter 49:907
    CrossRef
  19. Shaikh K, Vivek Bekal S, Marei HFA, Elsayed WSM, Surdilovic D, Jawad LA. Artificial Intelligence in Dentistry. 2023. Chapter 7:161
    CrossRef
  20. . Forschungsorientierung im dualen Studium der Sozialen Arbeit/Sozialpädagogik im Hinblick auf Berufsbefähigung. 2022. Chapter 12:241
    CrossRef
  21. Nutbeam D, Aungles T. Reference Module in Biomedical Sciences. 2023.
    CrossRef
  22. . . 2023. Chapter 60
    CrossRef
  23. Keller V, Ercsey I. Effective Digital Marketing for Improving Society Behavior Toward DEI and SDGs. 2023. chapter 3:48
    CrossRef