1. Haas S, Wohlgemuth S, Echizen I, Sonehara N, Muller G. Aspects of privacy for electronic health records. Int J Med Inform. 2011; 80(2):e26–e31.
Article
2. Agrawal R, Johnson C. Securing electronic health records without impeding the flow of information. Int J Med Inform. 2007; 76(5-6):471–479.
Article
3. Lee MY, Park YI. A study on the nurse's perception and performance of protecting patient privacy. Clin Nurs Res. 2005; 11(1):7–20.
4. Kim CH, Jeong SY, Song YS. Recognition and performance of patient private information protection (PPIP) in nursing students. J Digit Policy Manag. 2013; 11(11):479–490.
Article
5. Lee IH, Shin AM, Son CS, Park SY, Park HJ, Yoon KI, et al. Understanding the behavior of physical therapists and occupational therapists in protecting patient's medical information: an application of the theory of planned behavior. J Korean Soc Phys Ther. 2010; 22(2):55–60.
6. Lee KH, Chung YC, Han KS, Song TM. Development and validation of privacy concern measurement tool in personal medical information. KIPS Trans Comput Commun Syst. 2014; 3(6):197–208.
Article
7. Riordan F, Papoutsi C, Reed JE, Marston C, Bell D, Majeed A. Patient and public attitudes towards informed consent models and levels of awareness of Electronic Health Records in the UK. Int J Med Inform. 2015; 84(4):237–247.
Article
8. Yang CM, Lin HC, Chang P, Jian WS. Taiwan's perspective on electronic medical records' security and privacy protection: lessons learned from HIPAA. Comput Methods Programs Biomed. 2006; 82(3):277–282.
Article
9. Jung KI, Jung HY. A study on the student nurse's perception and performance protecting behavior for the patient medical information. Korean J Health Serv Manag. 2011; 5(4):65–79.
Article
10. Buppert C. Safeguarding patient privacy. Establish department compliance with new federal regulations on individually identifiable health information. Nurs Manage. 2002; 33(12):31–35.
11. Waltz CF, Strickland O, Lenz ER. Measurement in nursing and health research. 4th ed. New York (NY): Springer;2010.
12. Polit DF, Beck CT, Owen SV. Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Res Nurs Health. 2007; 30(4):459–467.
Article
13. Costello AB, Osborne JW. Best practice in exploratory factor analysis: four recommendations for getting the most from your analysis. Pract Assess Res Eval. 2005; 10(7):1–9.
14. Thompson B, Daniel LG. Factor analytic evidence for the construct validity of scores: a historical overview and some guidelines. Educ Psychol Meas. 1996; 56(2):197–208.
Article
15. Bentler PM. Comparative fit indexes in structural models. Psychol Bull. 1990; 107(2):238–246.
Article
16. Schaufeli WB, Salanova M, Gonzalez-roma V, Bakker AB. The measurement of engagement and burnout: a two sample confirmatory factor analytic approach. J Happiness Stud. 2002; 3(1):71–92.
17. Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Modeling. 1999; 6(1):1–55.
Article
18. Fornell C, Larcker DF. Evaluating structural equation models with observable variables and measurement error. J Mark Res. 1981; 18(1):39–50.
Article
19. Nunnally JC, Bernstein IH. Psychometric theory. 3rd ed. New York (NY): McGraw-Hill;1994.
20. O'Leary-Kelly SW, Vokurka RJ. The empirical assessment of construct validity. J Oper Manag. 1998; 16(4):387–405.
21. Birch LL, Fisher JO, Grimm-Thomas K, Markey CN, Sawyer R, Johnson SL. Confirmatory factor analysis of the Child Feeding Questionnaire: a measure of parental attitudes, beliefs and practices about child feeding and obesity proneness. Appetite. 2001; 36(3):201–210.
Article
22. The Office of the National Coordinator for Health Information Technology. Guide to privacy and security of health information (version 1.2). Washington (DC): US Department of Health and Human Services;2005.
23. Harman LB, Flite CA, Bond K. Electronic health records: privacy, confidentiality, and security. Virtual Mentor. 2012; 14(9):712–719.
Article
24. Kim SY, Shim JY, Won WJ, Sun WS, Park HK, Lee JK. The development of the Korean Health Related Quality of Life Scale (KQUOLS): testing reliability and validity. J Korean Acad Fam Med. 2000; 21(3):382–394.