Factors Associated with Information Breach in Healthcare Facilities: A Systematic Literature Review

This systematic review aimed to identify the factors associated with information breaches in healthcare settings. We searched electronic databases, including PubMed, Embase, Scopus, and Wiley, for all publications until March 6, 2022 (no start date restriction) and outlined the eligibility criteria framework using Population, Concept, and Context (PCC). Our search strategies yielded 2,156 results, with nine studies included in the final review. We grouped the factors attributed to data breaches into four categories: organizational, information technology (IT), professionals/employees, and clients/patients. Hospital type, hospital size (more beds), higher operationalexpenses and revenue, higher admissions and discharges, and higher Electronic Medical Record (EMR) use, being at earlier phases of EMR adoption, were associated with higher information breaches. Professional factors such as the type of personnel involved and the hospital area can potentially impact the breaches' frequency and magnitude. Patients' sociodemographic, clinical, and behavioral characteristics, such as gender and educational attainment, appear to influence the perceived breach of confidentiality in healthcare settings. Identifying different factors contributing to health information breaches is crucial to protecting healthcare organizations and patients from the devastating consequences of data breaches.

Information Privacy Behaviors during the COVID-19 Pandemic: Focusing on the Restaurant Context

The acquisition of personal information has been generally accepted in the pandemic situation as an effective measure to prevent infection, while at the same time raising concerns regarding the infringement of personal privacy. The current study aimed to propose and empirically test a research model for restaurant customers on the disclosure of personal information in a pandemic situation. Privacy calculus theory and institutional theory were applied to theoretically explain the drivers/inhibitors and behavioral responses that affect disclosure of personal information. We verified that the most influential factor on intention to disclose was "perceived benefit", followed by "government pressure" as another strong predictor. We present theoretical and practical implications for restaurant managers and policy agencies.