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Citing this Article

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Published on 02.08.13 in Vol 15, No 8 (2013): August

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2635):

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

  1. Geoghegan C, Nido V, Bemden AB, Hallinan Z, Jordan L, Kehoe LS, Morin SL, Niskar A, Okubagzi PG, Wood WA. Learning from patient and site perspectives to develop better digital health trials: Recommendations from the Clinical Trials Transformation Initiative. Contemporary Clinical Trials Communications 2020;:100636
    CrossRef
  2. Blackwell TM, Dill LJ, Hoepner LA, Geer LA. 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
    CrossRef
  3. 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
    CrossRef
  4. 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
  5. Xiaofei Z, Guo X, Ho SY, Lai K, Vogel D. Effects of emotional attachment on mobile health-monitoring service usage: An affect transfer perspective. Information & Management 2020;:103312
    CrossRef
  6. 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
    CrossRef
  7. Chagas CMDS, Melo GR, Botelho RBA, 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;:1
    CrossRef
  8. Kaium MA, Bao Y, Alam MZ, Hoque MR. Understanding continuance usage intention of mHealth in a developing country. International Journal of Pharmaceutical and Healthcare Marketing 2020;14(2):251
    CrossRef
  9. 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
    CrossRef
  10. Comte B, Baumbach J, Benis A, Basílio J, Debeljak N, Flobak , Franken C, Harel N, He F, Kuiper M, Méndez Pérez JA, Pujos-Guillot E, Režen T, Rozman D, Schmid JA, Scerri J, Tieri P, Van Steen K, Vasudevan S, Watterson S, Schmidt HH. 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
    CrossRef
  11. 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
    CrossRef
  12. 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
  13. 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
    CrossRef
  14. 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
    CrossRef
  15. Ali EE, Chan SSL, Leow JL, Chew L, Yap KY. User acceptance of an app-based adherence intervention: Perspectives from patients taking oral anticancer medications. Journal of Oncology Pharmacy Practice 2019;25(2):390
    CrossRef
  16. 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
    CrossRef
  17. 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
    CrossRef
  18. Martinez-Millana A, Zettl A, Floch J, Calvo-Lerma J, Sevillano JL, 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
    CrossRef
  19. 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
    CrossRef
  20. Finkenflügel RN, Hoornenborg E, Achterbergh RC, Marra E, Davidovich U, de Vries HJ, Prins M, Schim van der Loeff MF. A Mobile Application to Collect Daily Data on Preexposure Prophylaxis Adherence and Sexual Behavior Among Men Who Have Sex With Men. Sexually Transmitted Diseases 2019;46(6):400
    CrossRef
  21. Hsiao J, Chen R. Understanding Determinants of Health Care Professionals’ Perspectives on Mobile Health Continuance and Performance. JMIR Medical Informatics 2019;7(1):e12350
    CrossRef
  22. 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
    CrossRef
  23. Bhatia R, Taneja U. Factors Affecting Indian Consumers’ Intention to Use eHealth Services. Journal of Health Management 2019;21(2):258
    CrossRef
  24. Pai RR, Alathur S. Determinants of individuals’ intention to use mobile health: insights from India. Transforming Government: People, Process and Policy 2019;13(3/4):306
    CrossRef
  25. Vaghefi I, Tulu B. The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study. JMIR mHealth and uHealth 2019;7(8):e12983
    CrossRef
  26. Perry B, Geoghegan C, Lin L, McGuire FH, Nido V, Grabert B, Morin SL, Hallinan ZP, Corneli A. Patient preferences for using mobile technologies in clinical trials. Contemporary Clinical Trials Communications 2019;15:100399
    CrossRef
  27. Frederix I, Caiani EG, 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
    CrossRef
  28. Rafiullah M, David SK. Health apps usage and preferences among Saudi patients with diabetes: A survey. International Journal of Clinical Practice 2019;73(5):e13345
    CrossRef
  29. Nisha N, Iqbal M, Rifat A. The Changing Paradigm of Health and Mobile Phones. Journal of Global Information Management 2019;27(1):19
    CrossRef
  30. 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
    CrossRef
  31. Verzantvoort NCM, Teunis T, Verheij TJM, van der Velden AW, Lovis C. Self-triage for acute primary care via a smartphone application: Practical, safe and efficient?. PLOS ONE 2018;13(6):e0199284
    CrossRef
  32. Arjadi R, Nauta MH, Bockting CL. Acceptability of internet-based interventions for depression in Indonesia. Internet Interventions 2018;13:8
    CrossRef
  33. Brown-Johnson CG, Boeckman LM, White AH, Burbank AD, Paulson S, Beebe LA. 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
    CrossRef
  34. Fox G, Connolly R. Mobile health technology adoption across generations: Narrowing the digital divide. Information Systems Journal 2018;28(6):995
    CrossRef
  35. 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
    CrossRef
  36. 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
    CrossRef
  37. Chang C, Lee T, Mills ME. Experience of Home Telehealth Technology in Older Patients With Diabetes. CIN: Computers, Informatics, Nursing 2017;35(10):530
    CrossRef
  38. Schuster L, Tossan V, Drennan J. Consumer Acceptance of mHealth Services: A Comparison of Behavioral Intention Models. Services Marketing Quarterly 2017;38(2):115
    CrossRef
  39. Wang SH. Web-Based Medical Service: Technology Attractiveness, Medical Creditability, Information Source, and Behavior Intention. Journal of Medical Internet Research 2017;19(8):e285
    CrossRef
  40. Venkatesh V, Hoehle H, Aljafari R. A usability study of the obamacare website: Evaluation and recommendations. Government Information Quarterly 2017;34(2):199
    CrossRef
  41. Lee C, Lee K, Lee D. Mobile Healthcare Applications and Gamification for Sustained Health Maintenance. Sustainability 2017;9(5):772
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  42. Sage A, Blalock SJ, 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
    CrossRef
  43. Lee HE, 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
    CrossRef
  44. 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
    CrossRef
  45. Blumenthal J, Wilkinson A, Cheuk RTF, Charoenkitkarn P, Charoenkitkarn N, Chignell M. Cognitive capacity and smartphone dual-task gait measurement. Procedia Computer Science 2017;111:87
    CrossRef
  46. Kelley MS, Su D, Britigan DH. Disparities in Health Information Access: Results of a County-Wide Survey and Implications for Health Communication. Health Communication 2016;31(5):575
    CrossRef
  47. 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
  48. Schuster L, Drennan J, Lings I. Understanding consumers’ decisions to adopt technology-enabled transformative services. The Service Industries Journal 2015;35(15-16):846
    CrossRef
  49. Rho MJ, Yoon KH, Kim H, Choi IY. Users’ perception on telemedicine service: a comparative study of public healthcare and private healthcare. Multimedia Tools and Applications 2015;74(7):2483
    CrossRef
  50. Baird A, Nowak S. Why primary care practices should become digital health information hubs for their patients. BMC Family Practice 2014;15(1)
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  51. Diamantidis CJ, Becker S. Health information technology (IT) to improve the care of patients with chronic kidney disease (CKD). BMC Nephrology 2014;15(1)
    CrossRef
  52. Brandt R, Rice R. Building a better PHR paradigm: Lessons from the discontinuation of Google Health™. Health Policy and Technology 2014;3(3):200
    CrossRef
  53. Baird A, Raghu TS, 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
    CrossRef
  54. O’Sullivan D, Fraccaro P, Carson E, Weller P. Decision time for clinical decision support systems. Clinical Medicine 2014;14(4):338
    CrossRef
  55. Becker S, Kribben A, Meister S, Diamantidis CJ, Unger N, Mitchell A, van Ooijen PMA. User Profiles of a Smartphone Application to Support Drug Adherence — Experiences from the iNephro Project. PLoS ONE 2013;8(10):e78547
    CrossRef
  56. Nielsen JA, Mathiassen L. Interpretive Flexibility in Mobile Health: Lessons From a Government-Sponsored Home Care Program. Journal of Medical Internet Research 2013;15(10):e236
    CrossRef
  57. Abebe NA, Capozza KL, Des Jardins TR, Kulick DA, Rein AL, Schachter AA, Turske SA. Considerations for Community-Based mHealth Initiatives: Insights From Three Beacon Communities. Journal of Medical Internet Research 2013;15(10):e221
    CrossRef
  58. 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)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2635)

:
  1. Design and Quality Considerations for Developing Mobile Apps for Medication Management. 2021. chapter 5:114
    CrossRef
  2. Brew-Sam N, Chib A. Technology and Health. 2020. :151
    CrossRef
  3. Trocin C, Croda E. Impacts of Information Technology on Patient Care and Empowerment. 2020. chapter 3:34
    CrossRef
  4. Nisha N, Iqbal M, Rifat A. Optimizing Current Practices in E-Services and Mobile Applications. 2018. chapter 9:181
    CrossRef
  5. Idrish S, Rifat A, Iqbal M, Nisha N. Health Economics and Healthcare Reform. 2018. chapter 2:20
    CrossRef
  6. Woldeyohannes HO, Ngwenyama OK. HCI in Business, Government and Organizations. Interacting with Information Systems. 2017. Chapter 19:239
    CrossRef
  7. Alnsour Y, Hazarika B, Khuntia J. Internetworked World. 2017. Chapter 2:13
    CrossRef
  8. Seçkin G. Emotions, Technology, and Health. 2016. :41
    CrossRef
  9. M-Health: Fundamentals and Applications. 2016. :189
    CrossRef
  10. Seçkin G, Kahana E. Encyclopedia of Mobile Phone Behavior. 2015. chapter 73:898
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