Korea Journal of Hospital Management (한국병원경영학회지)

Korean Society of Hospital Management (한국병원경영학회)
권호 표지

Factors affecting intent to use of Respiratory management mobile application

호흡기질환 관리 모바일 애플리케이션 사용의향에 미치는 요인

  • Jang, Sae-Kyun (Department of Medical Science, Graduate School of Ajou University) ;
  • Lee, Sol (Healthcare Convergence R&D Center, HealthConnect co., Ltd.) ;
  • Hwang, Ga-Young (Healthcare Convergence R&D Center, HealthConnect co., Ltd.) ;
  • Kim, Jae-Hyun (Department of Health Administration, College of Health Science, Dankook University)
  • 장세균 (아주대학교 대학원 의학과) ;
  • 이솔 (헬스커넥트 헬스케어융합연구소) ;
  • 황가영 (헬스커넥트 헬스케어융합연구소) ;
  • 김재현 (단국대학교 보건과학대학 보건행정학과)
  • Received : 2018.11.16
  • Accepted : 2019.02.18
  • Published : 2019.03.30
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose: To analyze the results of an online survey conducted to develop a user-friendly respiratory disease management mobile application. Methodology: The questionnaires were conducted from July 26, 2018 to October 23, 2018 for 90 days. A total of 267 respondents were used for the analysis. Chi-square test, t-test, and multivariate logistic regression were used for statistical analysis. Findings: As a result of the analysis, preference for functions related to medical services was high in all ages and the odds of positive intention to use respiratory disease management application was 4.76 times higher than 40 years old compared with less than 40 years old. The group with more than one effort was found to be significantly higher than those who did not. Practical Implication: It is expected that the functions derived from the main results in this study will be helpful for the effective health management of patients with chronic respiratory disease.

Keywords

References

  1. Kim, S.H. Trends and Prospects of Medical-IT Convergence Technology (Focused on U Health). The Magazine of the IEIE 2010. pp.49-59.
  2. Iwaya LH, Gomes MA, Simplicio MA, Carvalho TC, Dominicini CK, Sakuragui RR, et al. Mobile health in emerging countries: a survey of research initiatives in Brazil. Int J Med Inform, 2013;82(5): 283-98. https://doi.org/10.1016/j.ijmedinf.2013.01.003
  3. Brian, R.M, D. Ben-Zeev, Mobile health (mHealth) for mental health in Asia: objectives, strategies, and limitations. Asian J Psychiatr, 2014;10:96-100. https://doi.org/10.1016/j.ajp.2014.04.006
  4. Kay M, S.J, Takane M. mHealth: New horizons for health through mobile technologies. World Health Organization, 2011; 64(7):66-71.
  5. IMS Institute for Healthcare Informatics. Patient Apps for Improved Healthcare[Internet]. New Jersey: IMS Institute for Healthcare Informatics; 2013. [cited 2013 Oct 1]. Available from http://http://moodle.univ-lille2.fr/pluginfile.php/215345/mod_resource/content/0/IIHI_Patient_Apps_Report.pdf
  6. Silva BM, Rodrigues JJ, de la Torre Diez I, Lopez-Coronado M, Saleem K. Mobile-health: A review of current state in 2015. J Biomed Inform, 2015; 56: 265-272. https://doi.org/10.1016/j.jbi.2015.06.003
  7. Kim EK, Kwak SH, Jung HS, Koo BK, Moon MK, Lim S, et al. The Effect of a Smartphone-Based, Patient-Centered Diabetes Care System in Patients With Type 2 Diabetes: A Randomized, Controlled Trial for 24 Weeks. Diabetes Care, 2018; 42(1):3-9. https://doi.org/10.2337/dc17-2197
  8. Johnston N, Bodegard J, Jerstrom S, Akesson J, Brorsson H, Alfredsson J, et al. Effects of interactive patient smartphone support app on drug adherence and lifestyle changes in myocardial infarction patients: A randomized study. Am Heart J, 2016;178:85-94. https://doi.org/10.1016/j.ahj.2016.05.005
  9. Kaelber DC, Jha AK, Johnston D, Middleton B, Bates DW. A research agenda for personal health records (PHRs). J Am Med Inform Assoc, 2008;15(6):729-36. https://doi.org/10.1197/jamia.M2547
  10. Murray CJ, Lopez AD. Alternative projections of mortality and disability by cause 1990-2020: Global Burden of Disease Study. Lancet. 1997;349(9064):1498-504. https://doi.org/10.1016/S0140-6736(96)07492-2
  11. Korea Center for Disease Control and Prevention. Korea Health Statistics 2012: Korea NationalHealth and Nutrition Examination Survey (KNHANESV3). 2012.
  12. Seo JY, Hwang YI, Mun SY, Kim JH, Kim JH, Park SH, et al. Awareness of COPD in a high risk Korean population. Yonsei Med J, 2015; 56(2): 362-367. https://doi.org/10.3349/ymj.2015.56.2.362
  13. Seo JY, Hwang YI, Mun SY, Kim JH, Kim JH, Park SH, et al. Long-term exposure to fine particulate matter air pollution and the risk of lung cancer among participants of the Canadian National Breast Screening Study. Int J Cancer, 2016; 139(9):1958-1966. https://doi.org/10.1002/ijc.30255
  14. Karottki DG, Beko G, Clausen G, Madsen AM, Andersen ZJ, Massling A, et al. Cardiovascular and lung function in relation to outdoor and indoor exposure to fine and ultrafine particulate matter in middle-aged subjects. Environ Int, 2014; 73: 372-81. https://doi.org/10.1016/j.envint.2014.08.019
  15. Liang WM, Liu WP, Kuo HW. Diurnal temperature range and emergency room admissions for chronic obstructive pulmonary disease in Taiwan. Int J Biometeorol, 2009;53(1):17-23. https://doi.org/10.1007/s00484-008-0187-y
  16. Yongmin Gwon, Seunghwan Myeong. Possibility and Issues of Research Methodology Using SNS. Korean Association of Public Administration, 2011: 1-20.
  17. Deng Z, Hong Z, Ren C, Zhang W, Xiang F. What Predicts Patients' Adoption Intention Toward mHealth Services in China: Empirical Study. JMIR Mhealth Uhealth, 2018; 6(8):172. https://doi.org/10.2196/mhealth.9316
  18. Scupin, R. The KJ Method: A Technique for Analyzing Data Derived from Japanese Ethnology. Human Organization: Summer 1997, 1997; 56: 233-237. https://doi.org/10.17730/humo.56.2.x335923511444655
  19. You-Jin Kim. Exploratory Study on Acceptance Intention of Mobile Devices and Applications for Healthcare Services, Journal of the Korea contents association. 2012; 12(9): 369-379. https://doi.org/10.5392/JKCA.2012.12.09.369
  20. Mi-Hwa Lee. The Association between Blood Pressure, Cholesterol and Health Concern. Korean Journal of Medical Technologists 1990,22:105-109.
  21. Zekun Zheng. User Acceptance of Mobile Healthcare Applications: An Integrated Model of UTAUT and HBM Theory, Korean policy sciences review 2015;19(3): 203-236.
  22. Hyojung Suh, Hyeonseok Hong, Minjeong Kim, Wonjung Yoon, Taehoon Lee, Jiyun Jung, et al. mHealth apps : The current status of usage and the factors of continuous use. Journal of the HCI Society of Korea 2015; 10(1): 19-27. https://doi.org/10.17210/jhsk.2015.05.10.1.19