Patient Privacy Attitude Scale: A Scale Development Study

Yıl 2023, Cilt: 4 Sayı: 3, 232 - 239, 30.09.2023

Gülgün Sevimligül , Funda Evcili

https://doi.org/10.51972/tfsd.1337827

Öz

Purpose: The aim of this study was to develop a measurement tool to determine the attitudes of health professionals towards patient privacy.
Material and Methods: First, an item pool of 42 items was created by the researchers and expert opinion was presented. The scale form, whose language and content validity was ensured, was applied to the sample group, and the data obtained were analyzed through LISREL 8.54 and SPSS 22.0 package programs. The validity of the scale was evaluated using exploratory and confirmatory factor analyses and reliability was evaluated using Cronbach's Alpha reliability coefficient, test-retest method and item analysis.
Results: Exploratory factor analysis yielded a 27-item structure with 5 factors explaining 57.483% of the variance, eigenvalues above 1, and factor loadings above 0.53. Confirmatory factor analysis revealed that the scale showed a theoretically and statistically acceptable level of fit. The reliability of the scale was examined by test-retest method and internal consistency analysis. The total Cronbach's alpha coefficient of the scale was 0.91. There was no statistical difference between the test-retest means of the total and five sub-dimensions of the scale (p>0.05).
Conclusion: The analysis shows that the scale is a reliable and valid measurement tool that can be used to determine the attitudes of health professionals towards patient privacy.

Anahtar Kelimeler

Patient, Privacy, Attitude, Scale Development

Kaynakça

• Akgül, A. Statistical analysis techniques in medical research: SPSS applications. 2005; Ankara, Emek Ofset. p. 64-8.
• Aksayan, S., Gözüm, S. (2002). Guide for intercultural scale adaptation: Psychometric features and intercultural comparison. Journal of Research and Development in Nursing, 4(2): 9-20.
• Akyurek, G. Crime of violation of privacy, 2nd Edition, Seçkin Publishing, Ankara, November 2013, p.65. Atalay, H.N. (2021). Protection and storage of personal health data in the scope of privacy. Journal of Academic Perspective on Social Studies, (1): 1-20. doi: 10.35344/japss.786353
• Aydın, N. (2013). Illegal revealing and illegal reaching of datas in criminal health law. Journal of Selçuk University Law Faculty, 21(2):7-30. https://doi.org/10.15337/SUH.2017.40
• Badur, E. Patient's right to request respect for private life, Ed. Emel Badur, Ankara Bar Association, 2012, p.103.
• Blightman, K., Griffiths, S.E., Danbury, C. (2014). Patient confidentiality: when can a breach be justified? Continuing Education in Anaesthesia, Critical Care and Pain, 14(2): 52-56.
• Büyüköztürk, S. Handbook of data analysis for social sciences. Improved 7th Edition, Pegem Publishing 2013, Ankara. p.179-94.
• Çakır, A. Factor analysis. Istanbul Commerce University Institute of Social Sciences, Department of Business Administration, Business Administration Program, Doctoral Thesis, 2014; Istanbul
• Eskici, V., Yayla A., Karaman Özlü, Z. (2022). A scale development study: Patient Prıvacy Scale. Karya Journal of Health Science, 3(3): 193-198.
• İzgi, M.C. (2014). The concept of privacy in the context of personal health data. Turkey Bioethics Journal, 1(1): 25-37.
• Karagöz, Y., Ekici, S. (2004). Statistical techniques and scales used in applied research in social sciences. C.U. Journal of Economics and Administrative Sciences, 5(1): 25-35.
• Karagöz, Y. SPSS and AMOS applied scientific research methods and publication Ethics. 2017, First Edition, Nobel Academic Publishing. p. 488-6. Karagöz, Y. SPSS and AMOS applied statistical analysis. 2016, First Edition, Nobel Academic Publishing. pp. 940-1075.
• Kartal, M., Bardakçı, S. Reliability and reliability analyzes with spss and amos applied examples. 2018, 1st Edition. Ankara: Akademisyen Publishing House.
• Kline, P. (2014). An easy guide to factor analysis. Routledge Meydan, C.H., & Şeşen, H. (2011). Yapısal eşitlik modellemesi AMOS uygulamaları. Detay Yayıncılık.
• Öztürk, D., Eyüboğlu, G., Göçmen Baykara, Z. (2019). The Privacy Consciousness Scale: Turkish validity and reliability study. Turkiye Klinikleri Journal of Medical Ethics-Law and History, 27(1):57-64. doi:10.5336/mdethic.2018-63473
• Ozturk, H., Bahcecik, N., Ozcelik, K.S. (2014). The development of the patient privacy scale in nursing. Nursing Ethics, 21(7):812-828.
• Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: tests of significance and descriptive goodnessof-fit measures. Methods of Psychological Research, 8(2), 23–74.
• Sert, G. (2018). Patient Rights, Responsibility and Human Rights in Health and Medical Law, Eds: Özge Yücel/Gürkan Sert, Seçkin Publishing, Ankara, p.143
• Shen, N., Bernier, T., Sequeira, L. et al. (2019). Understanding the patient privacy perspective on health information exchange: A systematic review. Int J Med Inform, 125:1-12. doi: 10.1016/j.ijmedinf.2019.01.014.
• Tavşancıl, E. Measurement of attitudes and data analysis with spss. 2002, 1st Edition. Ankara: No- bel Basım Yayın.
• Tezbaşaran, A.A. Likert type scale development guide. 1996, Ankara: Psychologists Association Publications.
• Wilen Berg, J. (2011) Patient confidentiality: privacy and public health. http://www.thedoctorwillseeyounow.com/ content/bioethics/art3401.html, Access date: 03.12.2015.
• Xu, J., Lu, L., Xing, K., et al. (2022). Theoretical approach and scale construction of patient privacy protection behavior of doctors in public medical institutions in China: Pilot Development Study JMIR Form Res, 6(12):e39947. doi: 10.2196/39947