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

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 productivit...

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Detalles Bibliográficos
Autores principales: Lee, Jinhyung, Choi, Sung J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293158/
https://www.ncbi.nlm.nih.gov/pubmed/34255672
http://dx.doi.org/10.2196/26157
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author Lee, Jinhyung
Choi, Sung J
author_facet Lee, Jinhyung
Choi, Sung J
author_sort Lee, Jinhyung
collection PubMed
description 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.
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spelling pubmed-82931582021-08-03 Hospital Productivity After Data Breaches: Difference-in-Differences Analysis Lee, Jinhyung Choi, Sung J J Med Internet Res Original Paper 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. JMIR Publications 2021-07-06 /pmc/articles/PMC8293158/ /pubmed/34255672 http://dx.doi.org/10.2196/26157 Text en ©Jinhyung Lee, Sung J Choi. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 06.07.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Lee, Jinhyung
Choi, Sung J
Hospital Productivity After Data Breaches: Difference-in-Differences Analysis
title Hospital Productivity After Data Breaches: Difference-in-Differences Analysis
title_full Hospital Productivity After Data Breaches: Difference-in-Differences Analysis
title_fullStr Hospital Productivity After Data Breaches: Difference-in-Differences Analysis
title_full_unstemmed Hospital Productivity After Data Breaches: Difference-in-Differences Analysis
title_short Hospital Productivity After Data Breaches: Difference-in-Differences Analysis
title_sort hospital productivity after data breaches: difference-in-differences analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293158/
https://www.ncbi.nlm.nih.gov/pubmed/34255672
http://dx.doi.org/10.2196/26157
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