Evidence map›Paper›PMID 40918075›Full record

ArticleDigital health

The impact of data breach on IT investment at neighboring hospitals: Evidence from California Hospitals.

Taewon Hwang, Sung J Choi, Jinhyung Lee

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Taewon HwangDepartment of Economics, Texas A&M University, College Station, TX, USA.
Sung J ChoiSchool of Global of Health Management and Informatics, University of Central Florida, Orlando, FL, USA.ORCID https://orcid.org/0000-0003-0299-5382
Jinhyung LeeDepartment of Economics, Sungkyunkwan University, Seoul, Korea.ORCID https://orcid.org/0000-0002-7020-109X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigates the effect of data breach incidents on IT investment at neighboring hospitals. Methods: Hospital data are collected from the California Department of Health Care Access and Information and matched with the breach archive provided by the U.S. Department of Health and Human Services Office for Civil Rights to construct a set of breached hospitals. Using a community detection algorithm, neighborhoods of hospitals are constructed to serve as the treatment group of breached hospitals against unaffected hospitals. To control for potential differences between affected and unaffected communities, hospitals are matched using propensity score matching. Subsequently, the effect of data breach incidents on IT investment at neighboring hospitals is estimated using a difference-in-differences model. Results: Analysis of hospital financial data from 2011 to 2017 revealed that neighboring hospitals responded to hacking/IT data breaches with a statistically significant 51% increase ( Conclusion: Data breaches involving hacking/IT incidents at a neighboring hospital could nudge a hospital toward increased IT capital investment. This may result from neighboring hospitals acknowledging the need to take preventive measures. Hospitals should be strategically encouraged to reinforce cybersecurity capacity to minimize loss from future attacks.

Indexed as

Data breachdifference-in-differenceshealthcare cybersecurityhospital IT investmentneighborhood effectpropensity score matchingrisk management

Identifiers

PMID40918075
PMCPMC12411718

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.