1. Patrick K, Griswold WG, Raab F, Intille SS. Health and the mobile phone. Am J Prev Med 2008;35(2):177-181. PMID:
18550322.
2. Haux R. Health information systems - past, present, future. Int J Med Inform 2006;75(3-4):268-281. PMID:
16169771.
3. Berg M. Patient care information systems and health care work: a sociotechnical approach. Int J Med Inform 1999;55(2):87-101. PMID:
10530825.
4. Short D, Frischer M, Bashford J. Barriers to the adoption of computerised decision support systems in general practice consultations: a qualitative study of GPs perspectives. Int J Med Inform 2004;73(4):357-362. PMID:
15135754.
5. Johnson JD, Meyer M, Woodworth M, Ethington C, Stengle W. Information technologies within the cancer information service: factors related to innovation adoption. Prev Med 1998;27(5 Pt 2):S71-S83. PMID:
9808826.
6. Wu JH, Wang SC, Lin LM. Mobile computing acceptance factors in the healthcare industry: a structural equation model. Int J Med Inform 2007;76(1):66-77. PMID:
16901749.
7. Zhang H, Cocosila M, Archer N. Factors of adoption of mobile information technology by homecare nurses: a technology acceptance model 2 approach. Comput Inform Nurs 2010;28(1):49-56. PMID:
19940621.
8. Lee J, Rho MJ. Perception of influencing factors on acceptance of mobile health monitoring service: a comparison between users and non-users. Healthc Inform Res 2013;19(3):167-176. PMID:
24175115.
9. Korea Ministry of Health and Welfare. Korea National Health and Nutrition Examination. Seoul: Korea Ministry of Health and Welfare; 2011.
10. Goessens BM, Visseren FL, de Nooijer J, van den Borne HW, Algra A, Wierdsma J, et al. A pilot-study to identify the feasibility of an Internet-based coaching programme for changing the vascular risk profile of high-risk patients. Patient Educ Couns 2008;73(1):67-72. PMID:
18639410.
11. Jeon HO, Kim O. The effects of an internet based coaching program for obesity management in hypertensive patients. Korean J Adult Nurs 2011;23(2):146-159.
12. Breton ER, Fuemmeler BF, Abroms LC. Weight loss-there is an app for that! But does it adhere to evidenceinformed practices? Transl Behav Med 2011;1(4):523-529. PMID:
24073074.
13. Jeon E, Park HA, Min YH, Kim HY. Analysis of the information quality of Korean obesity-management smartphone applications. Healthc Inform Res 2014;20(1):23-29. PMID:
24627815.
14. Research2guidance. Mobile health market report 2011-2016. Berlin: Research2guidance; 2012.
15. Jeon E, Park HA. Development of a smartphone application for clinical-guideline-based obesity management. Healthc Inform Res 2015;21(1):10-20. PMID:
25705553.
16. Venkatesh V, Davis FD. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag Sci 2000;46(2):186-204.
17. Rogers EM. Diffusion of innovations. 5th ed. New York(NY): Simon & Schuster Inc; 2003.
18. Compeau DR, Higgins CA. Computer self-efficacy: development of a measure and initial test. MIS Q 1995;19(2):189-211.
19. Igbaria M, Zinatelli N, Cragg P, Cavaye AL. Personal computing acceptance factors in small firms: a structural equation model. MIS Q 1997;21(3):279-305.
20. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 1989;13(3):319-340.
21. Van Slyke C, Lou H, Day J. The impact of perceived innovation characteristics on intention to use groupware. Inf Resour Manag J 2002;15(1):1-12.
22. Jelekäinen P. GSM-PKI solution enabling secure mobile communications. Int J Med Inform 2004;73(3):317-320. PMID:
15066565.
23. Kim K. AMOS 18.0 structural equation modeling analysis. Korean edition. Seoul, Korea: Hannarae Publishing; 2010.
24. Chau PY, Hu PJ. Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories. Inf Manag 2002;39(4):297-311.
25. Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Q 2003;27(3):425-478.
26. Chapman DW, Carter JF. Translation procedures for the cross cultural use of measurement instruments. Educ Eval Policy Anal 1979;1(3):71-76.
27. Hair JF Jr, Anderson RE, Tatham RL. Multivariate data analysis with readings. 2nd ed. New York (NY): Macmillan Publishing; 1986.
28. Ruder Finn Inc. mHealth report. New York (NY): Ruder Finn Inc.; 2012.
29. Hasan B. Delineating the effects of general and system-specific computer self-efficacy beliefs on IS acceptance. Inf Manag 2006;43(5):565-571.
30. Kim J, Park HA. Development of a health information technology acceptance model using consumers' health behavior intention. J Med Internet Res 2012;14(5):e133PMID:
23026508.