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Decoding privacy concerns: the role of perceived risk and benefits in personal health data disclosure. | LitMetric

Decoding privacy concerns: the role of perceived risk and benefits in personal health data disclosure.

Arch Public Health

Faculty of Health Sciences, Department of Health Management, Selçuk University, Konya, Turkey.

Published: October 2024

AI Article Synopsis

  • Personal health data is essential for quality medical care and must be protected to ensure patient privacy and trust in healthcare systems.
  • The study focused on individuals from Izmir, Konya, and Adana, using various scales to analyze privacy concerns, perceived control, perceived risk, and information disclosure behavior.
  • Results indicated that higher privacy concerns lead to decreased willingness to share personal health data, but perceived risk and benefits only mediated the relationship between perceived control and data disclosure, not between privacy concerns and data sharing.

Article Abstract

Background: Personal health data is crucial for effective medical care, personalized treatment, and health monitoring. It enables accurate diagnosis, efficient treatment plans, and informed healthcare decisions. Personal health data should be protected to ensure patient privacy, prevent misuse or unauthorized access, and maintain trust in healthcare systems, thereby safeguarding individuals' sensitive information from potential harm or exploitation. Therefore, this study aimed to investigate whether perceived risk and perceived benefits have mediating roles in the relationships among individuals' personal health information disclosure behaviour, perceived control, and privacy concerns.

Method: The population of the study consisted of individuals living in the provinces of Izmir, Konya and Adana. The sample of the study consisted of individuals who were reached through a convenience sampling method. The scales for privacy concerns, perceived control, perceived risk, perceived benefits and information disclosure behaviour were used in the study. Cronbach's alpha and the AVE were calculated, and a confirmatory factor analysis was performed. A path analysis was performed using the structural equation model to test the hypotheses.

Results: The analysis revealed a significant negative relationship between individuals' personal health data disclosure behaviour and their privacy concerns. However, perceived risk and perceived benefit did not mediate this relationship. Additionally, a significant positive relationship was found between individuals' behaviour of disclosing their perceived control and personal health data, with perceived risk and benefits playing a mediating role in this relationship.

Conclusion: The study concluded that as individuals' concerns about sharing personal health data increase, they are less likely to share these data. It was also found that perceived risk and perceived benefit mediate this relationship. Additionally, higher perceived risk intensifies privacy concerns, further discouraging data sharing, while perceived benefits can mitigate these concerns, promoting greater willingness to disclose health information.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11468474PMC
http://dx.doi.org/10.1186/s13690-024-01416-zDOI Listing

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