Evidence map›Paper›PMID 39789912›Full record

ArticleHealth services research2025

Impacts of Hospital Data Breach on Healthcare Quality.

Dapeng Chen, Shin-Yi Chou, Xiaosong David Peng

Abstract read
In one paragraph

Article in Health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Dapeng ChenDepartment of Economics, Lehigh University, Bethlehem, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-0631-7776
Shin-Yi ChouDepartment of Economics, Lehigh University, Bethlehem, Pennsylvania, USA.
Xiaosong David PengCollege of Business, Lehigh University, Bethlehem, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the effects of data breach incidents on healthcare quality and to explore potential mechanisms. DATA SOURCE: Hospital-level data breach reports from the U.S. Department of Health and Human Services and patient-level hospitalization records from Florida State Inpatient Database during 2013-2017. STUDY

designWe employ a propensity score matching difference-in-difference model to estimate changes in a patient's emergency department (ED) door-to-hospital admission hours, days to undergo principal procedure after admission, length of stay days, and in-hospital mortality rates following data breaches. We compare the health information technology (HIT) functionalities of breached and non-breached hospitals during both pre and post periods. DATA COLLECTION/EXTRACTION

methodsOur primary analysis covers 1,295,537 records of inpatients admitted through the EDs of 12 hospitals. PRINCIPAL

findingsData breaches are associated with long-term improvements in healthcare quality, particularly in the timeliness of patient care and acute myocardial infarction (AMI) mortality. Over time, patients experience a reduction of 0.56 h in ED door-to-hospital admission time (95% confidence interval [CI]: -1.04 to -0.06 h) and a decrease of 0.18 days in time to undergo the principal procedure after hospital admission (95% CI: -0.23 to -0.13 days). Additionally, AMI patients experience a one percentage point reduction in in-hospital mortality (95% CI: -2 to -0.06 percentage points), while mortality rates for other patient groups remain unchanged. Hospitals affected by data breaches show long-term advancements in their HIT functionalities.

conclusionsHospital data breach incidents are associated with improved healthcare quality. This improvement may be attributed to hospitals' enhanced functionality of HIT.

Indexed as

Computer SecurityEmergency Service, HospitalHospitalsQuality of Health CareAgedFemaleFloridaHospitalizationHospital MortalityHumansLength of StayMaleMiddle AgedMyocardial InfarctionPropensity Scoredata breachhealthcare qualityhealth information exchangehealth information technologyin‐hospital mortality

Identifiers

PMID39789912
PMCPMC12120520

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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.