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Accepted for/Published in: JMIR Formative Research

Date Submitted: May 29, 2023
Open Peer Review Period: May 29, 2023 - Jul 24, 2023
Date Accepted: Jul 24, 2023
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Demographic Comparison of Information Security Behavior Toward Health Information System Protection: Survey Study

Sari PK, Handayani PW, Hidayanto AN

Demographic Comparison of Information Security Behavior Toward Health Information System Protection: Survey Study

JMIR Form Res 2023;7:e49439

DOI: 10.2196/49439

PMID: 37616025

PMCID: 10485712

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

The information security behavior towards health information systems protection: Demographics comparison

  • Puspita Kencana Sari; 
  • Putu Wuri Handayani; 
  • Achmad Nizar Hidayanto

ABSTRACT

Background:

The Health Information System (HIS) functions are getting wider with more diverse users. Information security in the health industry is crucial because it involves comprehensive and strategic information that might harm human life. Human factor is one of the biggest security threats to HIS.

Objective:

This study attempts to investigate information security behavior of HIS users using a comprehensive assessment scale suited to the information security concerns in healthcare. Patients are increasingly being asked to submit their own data into HIS systems. As a result, this study examines the security behavior of health workers and patients, as well as their demographic variables.

Methods:

We used a quantitative approach using survey to health workers and patients. We created a research instrument from four existing measurement scales to measure pro-security and anti-security behavior. We performed statistical differences analysis to test the hypotheses, and descriptive analysis was utilized to determine whether the group exhibited exemplary behavior when processing the survey results.

Results:

We analyzed 421 responses from the survey. According to demographic factors, the hypotheses testing for full and partial security behavior reveal substantial differences. Education levels is the most significantly affect security behavior differences, followed by user type, gender and age. All demographic characteristics, particularly concerning user type, show discrepancies that are caused mainly by anti-security behavior rather than pro-security behavior.

Conclusions:

Since patients engage in anti-security behavior more frequently than health workers and may pose security risks, healthcare facilities should start to consider information security education for patients. More comprehensive research on information security behavior in health care facilities is required to better understand the patient's perspective, which is currently understudied.


 Citation

Please cite as:

Sari PK, Handayani PW, Hidayanto AN

Demographic Comparison of Information Security Behavior Toward Health Information System Protection: Survey Study

JMIR Form Res 2023;7:e49439

DOI: 10.2196/49439

PMID: 37616025

PMCID: 10485712

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