Differences on Satisfaction of Healthcare Applications by Smartphone Users' Characteristics

스마트폰 사용자 특성에 따른 헬스케어 애플리케이션 만족도 차이

  • Shim, Hun (Department of Planning, Wonju Medical Industry Technovalley) ;
  • Kim, Yu-Jeong (Department of Nursing.The Research Institute for Basic Science, Hoseo University) ;
  • Park, Mijeong (Department of Nursing.The Research Institute for Basic Science, Hoseo University)
  • 심훈 ((재)원주의료기기케크노밸리 전략기획실) ;
  • 김유정 (호서대학교 간호학과.기초과학연구소) ;
  • 박미정 (호서대학교 간호학과.기초과학연구소)
  • Received : 2016.05.09
  • Accepted : 2016.07.07
  • Published : 2016.07.31


This study examined the satisfaction difference in the aspects of awareness, information quality, and availability in healthcare applications according to smartphone user's characteristics. Data collection was conducted between September 17th and September 21st 2014 on the 193 people who had used healthcare applications, and the data collected were analyzed with descriptive statistics, t-test, One-way ANOVA, and Kruskal-Wallis test using SPSS WIN 20.0. Differences in satisfaction of healthcare application were observed according to the general characteristics, and according to age, education level, and income, as well as for healthcare application use characteristics, according to operation system, total use period, the number of installed healthcare applications, the sources of main information, use frequency, and reasons of no use. To establish strategies for the effective spread of mobile healthcare and development and distribution of healthcare applications, it will be necessary to confirm smartphone users' characteristics and it is important to reflect them in the strategies. In addition, it is necessary to develop and implement a range of strategies to ceaselessly induce the users' motives of use and to improve their degree of satisfaction to secure the constant use of developed health care applications.


  1. Y. Kim,"Exploratory study on acceptance intention of mobile devices and applications for healthcare service", Journal of Contents Association, Vol.12, No.9, pp. 369-379, 2012. DOI:
  2. Y. H. Choi, H. R. Jung,"Future smart mobile world attention to health care views", e-KIET Industrial Economic Information, Vol.609, pp. 1-12, 2015.
  3. S. H. Lee, S. S. Yoo,"The status and outlook of mobile healthcare application", ICT & Media Policy, Vol.26, No.7, pp. 1-23, 2014.
  4. H. Shim, J. H. Lee, S. O. Hwang, H. R. Yoon, Y. R. Yoon,"Development of heart rate monitoring for mobile telemedicine using smartphone", 13th International Conference on Biomedical Engineering, pp. 1116-1119, 2009. DOI:
  5. H. Shim, H. M. Kim, S. H. Song, J. H. Lee, H. R. Yoon, Y. R. Yoon,"Personalized healthcare comment service for hypertension patients using mobile device", 30th Annual International IEEE EMBS Conference, pp. 1521-1524, 2008. DOI:
  6. S. Khalaf. Flurry Insights [Internet]. Health and fitness apps finally take off, fueled by fitness fanatics [cited 2014 June 19], Available From: (accessed Feb., 2, 2015)
  7. D. Ledger, D. McCaffrey. Inside wearables: How the science of human behavior change offers the secret to long-term engagement. pp. 1-17, Endeavour Partners, 2014.
  8. Y. S. Yang, C. H. Shin,"Effects of mobile phone user interface technology and social factors on new UI acceptance in consumer use pattern: from the TAM perspectives", Korean Corporation Management Review, Vol.18, No.2, pp. 1-20, 2011.
  9. T. Y. Kim, D. H. Shin,"The usage and the gratifications about smartphone models and applications", Korean Telecommunications Policy Review, Vol.20, No.4, pp. 105-130, 2013.
  10. J. H. Cho,"The investigation of factors of determining continuous use of health apps on smartphones application of extended technology acceptance model", Journal of Public Relations Research, Vol.18, No.1, pp. 212-241, 2014.
  11. M. Y. Kim, Y. H. Kang, D. Y. Jung, G. J. Lee,"Older adults' smart phone use and access to health information", Journal of Qualitative Research, Vol.14, No.1, pp. 13-22, 2013.
  12. L. Dennison, L. Morrison, G. Conway, L. Yardley, "Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study", Journal of Medical Internet Research, Vol.15, No.4, e86, 2013. DOI:
  13. D. Mann, L. Riddell, K. Lim, L. K. Byrne, C. Nowson, et al.,"Mobile phone app aimed at improving iron intake and bioavailability in premenopausal women: A qualitative evaluation", JMIR mHealth uHealth, Vol.3, No.3, e92, 2015. DOI:
  14. K. H. Ly, E. Janni, R. Wrede, M. Sedem, T. Donker et al.,"Experiences of a guided smartphone-based behavioral activation therapy for depression: A qualitative study", Internet Interventions, Vol.2, No.1, pp. 60-98, 2015. DOI:
  15. J. Torous, R. Friedman, M. Keshavan,"Smartphone ownership and interest in mobile applications to monitor symptoms of mental health conditions", JMIR mHealth uHealth, Vol.2, No.1, e2, 2015 DOI:
  16. N. Farooqui, G. Phillips, C. Barrett, D. Stukus, "Acceptability of an interactive asthma management mobile health application for children and adolescents", Annals of Allergy, Asthma & Immunology, Vol.114, No.6, pp. 527-529, 2015. DOI:
  17. E. Arsand, D. H. Froisland, S. O. Skrovseth, T. Chomutare, N. Tatara et al.,"Mobile health applications to assist patients with diabetes: Lessons learned and design implications", Journal of Diabetes Science and Technology, Vol.6, No.5, pp. 1197-1206, 2015. DOI:
  18. Y. Wang,"A study on the influencing factors of intention to use of smart phone applications", Unpublished master's thesis, Chungbuk University, Cheongju, Korea, 2013.
  19. H. S. Chung. Domestic and international mobile healthcare trends and implications. pp. 14-25, Institute for Information and Communications Technology Promotion, 2015.
  20. J. Proudfoot, G. Parker, D. H. Pavlovic, V. Manicavasagar, E. Adler et al.,"Community attitudes to the appropriation of mobile phones for monitoring and managing depression, anxiety, and stress", Journal of Medical Internet Research, Vol.12, No.5, e64, 2010. DOI:
  21. Y. Fukuoka, E. Kamitani, K. Bonnet, T. Lindgren, "Real-time social support through a mobile virtual community to improve healthy behavior in overweight and sedentary adults: A focus group analysis", Journal of Medical Internet Research, Vol.13, No.3, e49, 2011. DOI:
  22. P. Klasnja, S. Consolvo, D. W. McDonald, J. A. Landay, W. Pratt, et al.,"Using mobile & personal sensing technologies to support health behavior change in everyday life: lessons learned", AMIA Annual Symposium Proceeding, Vol.14, pp. 338-342, 2009.
  23. H. Yoo, H. Han, H. M. Oh, M. Park."The effects of famaily communication and family cohesion on elderly women's depression and quality of life", Journal of the Korean Data Analysis Society, Vol.17, No.1, pp. 469-483, 2015.