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Hospital Productivity After Data Breaches: Difference-in-Differences Analysis

Authors :
Sung J. Choi
Jinhyung Lee
Source :
Journal of Medical Internet Research
Publication Year :
2021
Publisher :
JMIR Publications Inc., 2021.

Abstract

Background Data breaches are an inevitable risk to hospitals operating with information technology. The financial costs associated with data breaches are also growing. The costs associated with a data breach may divert resources away from patient care, thus negatively affecting hospital productivity. Objective After a data breach, the resulting regulatory enforcement and remediation are a shock to a hospital’s patient care delivery. Exploiting this shock, this study aimed to investigate the association between hospital data breaches and productivity by using a generalized difference-in-differences model with multiple prebreach and postbreach periods. Methods The study analyzed the hospital financial data of the California Office of Statewide Health Planning and Development from 2012 to 2016. The study sample was an unbalanced panel of hospitals with 2610 unique hospital-year observations, including general acute care hospitals. California hospital data were merged with breach data published by the US Department of Health and Human Services. The dependent variable was hospital productivity measured as value added. The difference-in-differences model was estimated using fixed effects regression. Results Hospital productivity did not significantly differ from the baseline for 3 years after a breach. Data breaches were not significantly associated with a reduction in hospital productivity. Before a breach, the productivity of hospitals that experienced a data breach maintained a parallel trend with control hospitals. Conclusions Hospital productivity was resilient against the shocks from a data breach. Nonetheless, data breaches continue to threaten hospitals; therefore, health care workers should be trained in cybersecurity to mitigate disruptions.

Details

ISSN :
14388871
Volume :
23
Database :
OpenAIRE
Journal :
Journal of Medical Internet Research
Accession number :
edsair.doi.dedup.....ecacb74980e3c16da93abd60433f1267