Published on in Vol 15, No 8 (2013): August

Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences

Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences

Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences

Authors of this article:

Arun Rai 1 ;   Liwei Chen 2 ;   Jessica Pye 2 ;   Aaron Baird 3


  1. Verzantvoort N, Teunis T, Verheij T, van der Velden A, Lovis C. Self-triage for acute primary care via a smartphone application: Practical, safe and efficient?. PLOS ONE 2018;13(6):e0199284 View
  2. Arjadi R, Nauta M, Bockting C. Acceptability of internet-based interventions for depression in Indonesia. Internet Interventions 2018;13:8 View
  3. Kelley M, Su D, Britigan D. Disparities in Health Information Access: Results of a County-Wide Survey and Implications for Health Communication. Health Communication 2016;31(5):575 View
  4. Nielsen J, Mathiassen L. Interpretive Flexibility in Mobile Health: Lessons From a Government-Sponsored Home Care Program. Journal of Medical Internet Research 2013;15(10):e236 View
  5. Meng F, Guo X, Peng Z, Zhang X, Vogel D. The routine use of mobile health services in the presence of health consciousness. Electronic Commerce Research and Applications 2019;35:100847 View
  6. Baird A, Raghu T, North F, Edwards F. When traditionally inseparable services are separated by technology: the case of patient portal features offered by primary care providers. Health Systems 2014;3(2):143 View
  7. Ye Q, Deng Z, Chen Y, Liao J, Li G, Lu Y. How Resource Scarcity and Accessibility Affect Patients’ Usage of Mobile Health in China: Resource Competition Perspective. JMIR mHealth and uHealth 2019;7(8):e13491 View
  8. Rho M, Yoon K, Kim H, Choi I. Users’ perception on telemedicine service: a comparative study of public healthcare and private healthcare. Multimedia Tools and Applications 2015;74(7):2483 View
  9. Blumenthal J, Wilkinson A, Cheuk R, Charoenkitkarn P, Charoenkitkarn N, Chignell M. Cognitive capacity and smartphone dual-task gait measurement. Procedia Computer Science 2017;111:87 View
  10. Kaium M, Bao Y, Alam M, Hoque M. Understanding continuance usage intention of mHealth in a developing country. International Journal of Pharmaceutical and Healthcare Marketing 2020;14(2):251 View
  11. Venkatesh V, Hoehle H, Aljafari R. A usability study of the obamacare website: Evaluation and recommendations. Government Information Quarterly 2017;34(2):199 View
  12. Samoggia A, Riedel B. Assessment of nutrition-focused mobile apps' influence on consumers' healthy food behaviour and nutrition knowledge. Food Research International 2020;128:108766 View
  13. Sezgin E, Özkan-Yildirim S, Yildirim S. Investigation of physicians' awareness and use of mHealth apps: A mixed method study. Health Policy and Technology 2017;6(3):251 View
  14. Frederix I, Caiani E, Dendale P, Anker S, Bax J, Böhm A, Cowie M, Crawford J, de Groot N, Dilaveris P, Hansen T, Koehler F, Krstačić G, Lambrinou E, Lancellotti P, Meier P, Neubeck L, Parati G, Piotrowicz E, Tubaro M, van der Velde E. ESC e-Cardiology Working Group Position Paper: Overcoming challenges in digital health implementation in cardiovascular medicine. European Journal of Preventive Cardiology 2019;26(11):1166 View
  15. Perry B, Geoghegan C, Lin L, McGuire F, Nido V, Grabert B, Morin S, Hallinan Z, Corneli A. Patient preferences for using mobile technologies in clinical trials. Contemporary Clinical Trials Communications 2019;15:100399 View
  16. Wang S, Wang J, Wang Y, Yan J, Li J. Environmental knowledge and consumers’ intentions to visit green hotels: the mediating role of consumption values. Journal of Travel & Tourism Marketing 2018;35(9):1261 View
  17. Pai R, Alathur S. Determinants of individuals’ intention to use mobile health: insights from India. Transforming Government: People, Process and Policy 2019;13(3/4):306 View
  18. Samoggia A, Bordoni A, Monticone F. Data on the potential of nutrition-information apps from a consumer behaviour perspective. Data in Brief 2020;30:105558 View
  19. Ali E, Chan S, Leow J, Chew L, Yap K. User acceptance of an app-based adherence intervention: Perspectives from patients taking oral anticancer medications. Journal of Oncology Pharmacy Practice 2019;25(2):390 View
  20. Xiaofei Z, Guo X, Ho S, Lai K, Vogel D. Effects of emotional attachment on mobile health-monitoring service usage: An affect transfer perspective. Information & Management 2021;58(2):103312 View
  21. Becker S, Kribben A, Meister S, Diamantidis C, Unger N, Mitchell A, van Ooijen P. User Profiles of a Smartphone Application to Support Drug Adherence — Experiences from the iNephro Project. PLoS ONE 2013;8(10):e78547 View
  22. Zapata B, Fernández-Alemán J, Idri A, Toval A. Empirical Studies on Usability of mHealth Apps: A Systematic Literature Review. Journal of Medical Systems 2015;39(2) View
  23. Lee H, Cho J. What Motivates Users to Continue Using Diet and Fitness Apps? Application of the Uses and Gratifications Approach. Health Communication 2017;32(12):1445 View
  24. Brown-Johnson C, Boeckman L, White A, Burbank A, Paulson S, Beebe L. Trust in Health Information Sources: Survey Analysis of Variation by Sociodemographic and Tobacco Use Status in Oklahoma. JMIR Public Health and Surveillance 2018;4(1):e8 View
  25. Sage A, Blalock S, Carpenter D. Extending FDA guidance to include consumer medication information (CMI) delivery on mobile devices. Research in Social and Administrative Pharmacy 2017;13(1):209 View
  26. Wang S. Web-Based Medical Service: Technology Attractiveness, Medical Creditability, Information Source, and Behavior Intention. Journal of Medical Internet Research 2017;19(8):e285 View
  27. Rafiullah M, David S. Health apps usage and preferences among Saudi patients with diabetes: A survey. International Journal of Clinical Practice 2019;73(5):e13345 View
  28. Hah H. Health Consumers’ Daily Habit of Internet Banking Use as a Proxy for Understanding Health Information Sharing Behavior: Quasi-Experimental Approach. Journal of Medical Internet Research 2020;22(1):e15585 View
  29. Rossmann C, Riesmeyer C, Brew-Sam N, Karnowski V, Joeckel S, Chib A, Ling R. Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies. JMIR Diabetes 2019;4(1):e10271 View
  30. Lee C, Lee K, Lee D. Mobile Healthcare Applications and Gamification for Sustained Health Maintenance. Sustainability 2017;9(5):772 View
  31. Blumenthal J, Wilkinson A, Chignell M. Physiotherapists' and Physiotherapy Students' Perspectives on the Use of Mobile or Wearable Technology in Their Practice. Physiotherapy Canada 2018;70(3):251 View
  32. Martínez-Pérez B, de la Torre-Díez I, Candelas-Plasencia S, López-Coronado M. Development and Evaluation of Tools for Measuring the Quality of Experience (QoE) in mHealth Applications. Journal of Medical Systems 2013;37(5) View
  33. Schuster L, Drennan J, Lings I. Understanding consumers’ decisions to adopt technology-enabled transformative services. The Service Industries Journal 2015;35(15-16):846 View
  34. Brandt R, Rice R. Building a better PHR paradigm: Lessons from the discontinuation of Google Health™. Health Policy and Technology 2014;3(3):200 View
  35. Chang C, Lee T, Mills M. Experience of Home Telehealth Technology in Older Patients With Diabetes. CIN: Computers, Informatics, Nursing 2017;35(10):530 View
  36. Vaghefi I, Tulu B. The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study. JMIR mHealth and uHealth 2019;7(8):e12983 View
  37. Nisha N, Iqbal M, Rifat A. The Changing Paradigm of Health and Mobile Phones. Journal of Global Information Management 2019;27(1):19 View
  38. Ramdani B, Duan B, Berrou I. Exploring the Determinants of Mobile Health Adoption by Hospitals in China: Empirical Study. JMIR Medical Informatics 2020;8(7):e14795 View
  39. Martinez-Millana A, Zettl A, Floch J, Calvo-Lerma J, Sevillano J, Ribes-Koninckx C, Traver V. The Potential of Self-Management mHealth for Pediatric Cystic Fibrosis: Mixed-Methods Study for Health Care and App Assessment. JMIR mHealth and uHealth 2019;7(4):e13362 View
  40. Meng F, Guo X, Peng Z, Lai K, Zhao X. Investigating the Adoption of Mobile Health Services by Elderly Users: Trust Transfer Model and Survey Study. JMIR mHealth and uHealth 2019;7(1):e12269 View
  41. Fox G, Connolly R. Mobile health technology adoption across generations: Narrowing the digital divide. Information Systems Journal 2018;28(6):995 View
  42. Schuster L, Tossan V, Drennan J. Consumer Acceptance of mHealth Services: A Comparison of Behavioral Intention Models. Services Marketing Quarterly 2017;38(2):115 View
  43. Bhatia R, Taneja U. Factors Affecting Indian Consumers’ Intention to Use eHealth Services. Journal of Health Management 2019;21(2):258 View
  44. Blackwell T, Dill L, Hoepner L, Geer L. Using Text Messaging to Improve Access to Prenatal Health Information in Urban African American and Afro-Caribbean Immigrant Pregnant Women: Mixed Methods Analysis of Text4baby Usage. JMIR mHealth and uHealth 2020;8(2):e14737 View
  45. Benis A, Harel N, Barak Barkan R, Srulovici E, Key C. Patterns of Patients’ Interactions With a Health Care Organization and Their Impacts on Health Quality Measurements: Protocol for a Retrospective Cohort Study. JMIR Research Protocols 2018;7(11):e10734 View
  46. Finkenflügel R, Hoornenborg E, Achterbergh R, Marra E, Davidovich U, de Vries H, Prins M, Schim van der Loeff M. A Mobile Application to Collect Daily Data on Preexposure Prophylaxis Adherence and Sexual Behavior Among Men Who Have Sex With Men: Use Over Time and Comparability With Conventional Data Collection. Sexually Transmitted Diseases 2019;46(6):400 View
  47. Baird A, Nowak S. Why primary care practices should become digital health information hubs for their patients. BMC Family Practice 2014;15(1) View
  48. Diamantidis C, Becker S. Health information technology (IT) to improve the care of patients with chronic kidney disease (CKD). BMC Nephrology 2014;15(1) View
  49. Kim K, Kim K, Lee D, Kim M. Identification of critical quality dimensions for continuance intention in mHealth services: Case study of onecare service. International Journal of Information Management 2019;46:187 View
  50. Abebe N, Capozza K, Des Jardins T, Kulick D, Rein A, Schachter A, Turske S. Considerations for Community-Based mHealth Initiatives: Insights From Three Beacon Communities. Journal of Medical Internet Research 2013;15(10):e221 View
  51. Hsiao J, Chen R. Understanding Determinants of Health Care Professionals’ Perspectives on Mobile Health Continuance and Performance. JMIR Medical Informatics 2019;7(1):e12350 View
  52. O'Sullivan D, Fraccaro P, Carson E, Weller P. Decision time for clinical decision support systems. Clinical Medicine 2014;14(4):338 View
  53. 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 View
  54. Crafoord M, Fjell M, Sundberg K, Nilsson M, Langius-Eklöf A. Engagement in an Interactive App for Symptom Self-Management during Treatment in Patients With Breast or Prostate Cancer: Mixed Methods Study. Journal of Medical Internet Research 2020;22(8):e17058 View
  55. Comte B, Baumbach J, Benis A, Basílio J, Debeljak N, Flobak Å, Franken C, Harel N, He F, Kuiper M, Méndez Pérez J, Pujos-Guillot E, Režen T, Rozman D, Schmid J, Scerri J, Tieri P, Van Steen K, Vasudevan S, Watterson S, Schmidt H. Network and Systems Medicine: Position Paper of the European Collaboration on Science and Technology Action on Open Multiscale Systems Medicine. Network and Systems Medicine 2020;3(1):67 View
  56. Chagas C, Melo G, Botelho R, Toral N. Effects of the Rango Cards game intervention on food consumption, nutritional knowledge and self-efficacy in the adoption of healthy eating practices of high school students: a cluster randomised controlled trial. Public Health Nutrition 2020;23(13):2424 View
  57. 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 View
  58. Geoghegan C, Nido V, Bemden A, Hallinan Z, Jordan L, Kehoe L, Morin S, Niskar A, Okubagzi P, Wood W. Learning from patient and site perspectives to develop better digital health trials: Recommendations from the Clinical Trials Transformation Initiative. Contemporary Clinical Trials Communications 2020;19:100636 View
  59. Meng F, Guo X, Peng Z, Ye Q, Lai K. Trust and elderly users' continuance intention regarding mobile health services: the contingent role of health and technology anxieties. Information Technology & People 2022;35(1):259 View
  60. Hussein W, Bennett P, Pace S, Chen S, Legg V, Atwal J, Sun S, Schiller B. The Mobile Health Readiness of People Receiving In-Center Hemodialysis and Home Dialysis. Clinical Journal of the American Society of Nephrology 2021;16(1):98 View
  61. Schrauben S, Appel L, Rivera E, Lora C, Lash J, Chen J, Hamm L, Fink J, Go A, Townsend R, Deo R, Dember L, Feldman H, Diamantidis C, He J, Nelson R, Rao P, Rahman M, Shah V, Unruh M. Mobile Health (mHealth) Technology: Assessment of Availability, Acceptability, and Use in CKD. American Journal of Kidney Diseases 2021;77(6):941 View
  62. Bhatia R. Telehealth and COVID-19: Using technology to accelerate the curve on access and quality healthcare for citizens in India. Technology in Society 2021;64:101465 View
  63. Pai R, Alathur S. Mobile health intervention and COVID-19 pandemic outbreak: insights from Indian context. International Journal of Health Governance 2020;26(1):42 View
  64. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429 View
  65. Cunha B, Rodrigues K, Zaine I, da Silva E, Viel C, Pimentel M. Experience Sampling and Programmed Intervention Method and System for Planning, Authoring, and Deploying Mobile Health Interventions: Design and Case Reports. Journal of Medical Internet Research 2021;23(7):e24278 View
  66. Lenferink L, de Keijser J, Eisma M, Smid G, Boelen P. Treatment gap in bereavement care: (Online) bereavement support needs and use after traumatic loss. Clinical Psychology & Psychotherapy 2021;28(4):907 View
  67. Touzani R, Schultz E, Holmes S, Vandentorren S, Arwidson P, Guillemin F, Rey D, Rouquette A, Bouhnik A, Mancini J. Early Acceptability of a Mobile App for Contact Tracing During the COVID-19 Pandemic in France: National Web-Based Survey. JMIR mHealth and uHealth 2021;9(7):e27768 View
  68. Wang X, Shi J, Lee K. The Digital Divide and Seeking Health Information on Smartphones in Asia: Survey Study of Ten Countries. Journal of Medical Internet Research 2022;24(1):e24086 View
  69. 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 View
  70. Dharanikota S, LeRouge C, Lyon V, Durneva P, Thompson M. Identifying Enablers of Participant Engagement in Clinical Trials of Consumer Health Technologies: A Qualitative Study of flu@home (Preprint). Journal of Medical Internet Research 2020 View
  71. Tobias G, Spanier A. Using an mHealth App (iGAM) to Reduce Gingivitis Remotely (Part 2): Prospective Observational Study. JMIR mHealth and uHealth 2021;9(9):e24955 View
  72. Branquinho M, Canavarro M, Fonseca A. A blended psychological intervention for postpartum depression: acceptability and preferences in women presenting depressive symptoms. Journal of Reproductive and Infant Psychology 2023;41(1):78 View
  73. Meng F, Guo X, Peng Z, Zhang X, Lai K. Understanding the Antecedents of the Routine Use of Mobile Health Services: A Person–Technology–Health Framework. Frontiers in Psychology 2022;13 View
  74. Scanferla W, Oliveira C, Lousada M, Teixeira L. The Usability and Acceptability of the mHealth “Health and Voice” for Promoting Teachers' Vocal Health. Journal of Voice 2023 View
  75. Chen R, Hsiao J. Health Professionals’ Perspectives on Electronic Medical Record Infusion and Individual Performance: Model Development and Questionnaire Survey Study. JMIR Medical Informatics 2021;9(11):e32180 View
  76. Liang L. The Influence of Hospital Online Healthcare Information Services on Information Adoption Intention. International Journal of Reliable and Quality E-Healthcare 2022;11(4):1 View
  77. Jansen-Kosterink S, Hurmuz M, den Ouden M, van Velsen L. Predictors to Use Mobile Apps for Monitoring COVID-19 Symptoms and Contact Tracing: Survey Among Dutch Citizens. JMIR Formative Research 2021;5(12):e28416 View
  78. Sowon K, Chigona W. How the information system utilization context may lead to unintended technology use: A case of a maternal mHealth intervention in Kenya. THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES 2022;88(4) View
  79. Kaium M, Bao Y, Alam M, Hasan N, Hoque M. Understanding the insight of factors affecting mHealth adoption. International Journal of Research in Business and Social Science (2147- 4478) 2019;8(6):181 View
  80. Ali Z, Dang H. Factors impacting the use of the NZ COVID Tracer application in New Zealand". Smart Health 2022;24:100278 View
  81. Mai F, Ko D, Shan Z, Zhang D. The Impact of Accelerated Digitization on Patient Portal Use by Underprivileged Racial Minority Groups During COVID-19: Longitudinal Study. Journal of Medical Internet Research 2023;25:e44981 View
  82. Khokhlov A, Andreenkova A, Dmitrieva E, Ilyin M, Lileeva E, Chizhov P, Miroshnikov A, Pozdnyakov N. Socio-Psychological Aspects of Introducing Mobile Technologies into Clinical Trials. Annals of the Russian academy of medical sciences 2023;78(3):194 View
  83. Ipsen J, Sandal L, Chang N, Schiøttz-Christensen B, Søgaard K, Hansen A. Interest in mHealth Among Patients With Low Back Pain: Cross-Sectional Study. JMIR Human Factors 2024;11:e48729 View
  84. Zhang X, Yin C, Guo X, Lai K. The Role of Previous Affective Responses in the Continuance of mHealth Monitoring Services: A Longitudinal Investigation. IEEE Transactions on Engineering Management 2024;71:6982 View

Books/Policy Documents

  1. Seçkin G. Emotions, Technology, and Health. View
  2. . M‐Health: Fundamentals and Applications. View
  3. Seçkin G, Kahana E. Encyclopedia of Mobile Phone Behavior. View
  4. Nisha N, Iqbal M, Rifat A. Optimizing Current Practices in E-Services and Mobile Applications. View
  5. Brew-Sam N, Chib A. Technology and Health. View
  6. Woldeyohannes H, Ngwenyama O. HCI in Business, Government and Organizations. Interacting with Information Systems. View
  7. Trocin C, Croda E. Impacts of Information Technology on Patient Care and Empowerment. View
  8. Alnsour Y, Hazarika B, Khuntia J. Internetworked World. View
  9. Idrish S, Rifat A, Iqbal M, Nisha N. Health Economics and Healthcare Reform. View
  10. . Design and Quality Considerations for Developing Mobile Apps for Medication Management. View
  11. Mertz R, Richie A, Dulin P. Comprehensive Clinical Psychology. View
  12. Trocin C, Croda E. Research Anthology on Improving Health Literacy Through Patient Communication and Mass Media. View
  13. Premarathne U, Han F, Liu H, Khalil I. Mobile Health. View
  14. Oladapo H, Chakraborty J. Universal Access in Human-Computer Interaction. Novel Design Approaches and Technologies. View
  15. Badro D. Handbook of Medical and Health Sciences in Developing Countries. View