Chen Dapeng, Chou Shin-Yi, Peng Xiaosong David
Department of Economics, Lehigh University, Bethlehem, Pennsylvania, USA.
College of Business, Lehigh University, Bethlehem, Pennsylvania, USA.
Health Serv Res. 2025 Jun;60(3):e14439. doi: 10.1111/1475-6773.14439. Epub 2025 Jan 9.
To examine the effects of data breach incidents on healthcare quality and to explore potential mechanisms.
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.
We 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 METHODS: Our primary analysis covers 1,295,537 records of inpatients admitted through the EDs of 12 hospitals.
Data 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.
Hospital data breach incidents are associated with improved healthcare quality. This improvement may be attributed to hospitals' enhanced functionality of HIT.
研究数据泄露事件对医疗质量的影响,并探索潜在机制。
美国卫生与公众服务部的医院层面数据泄露报告,以及2013 - 2017年佛罗里达州住院患者数据库中的患者层面住院记录。
我们采用倾向得分匹配的双重差分模型,来估计数据泄露后患者的急诊科(ED)门到入院时间、入院后进行主要手术的天数、住院天数以及院内死亡率的变化。我们比较了数据泄露前后受影响医院和未受影响医院的健康信息技术(HIT)功能。
数据收集/提取方法:我们的主要分析涵盖了12家医院急诊科收治的1,295,537例住院患者记录。
数据泄露与医疗质量的长期改善相关,尤其是在患者护理及时性和急性心肌梗死(AMI)死亡率方面。随着时间推移,患者的急诊科门到入院时间减少了0.56小时(95%置信区间[CI]:-1.04至-0.06小时),入院后进行主要手术的时间减少了0.18天(95% CI:-0.23至-0.13天)。此外,AMI患者的院内死亡率降低了1个百分点(95% CI:-2至-0.06个百分点),而其他患者组的死亡率保持不变。受数据泄露影响的医院在其HIT功能方面显示出长期进步。
医院数据泄露事件与医疗质量的提高相关。这种改善可能归因于医院HIT功能的增强。