Impacts of Hospital Data Breach on Healthcare Quality.

IF 3.1 2区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Dapeng Chen, Shin-Yi Chou, Xiaosong David Peng
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Abstract

Objective: To 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 design: 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.

Principal findings: 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.

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

医院数据泄露对医疗质量的影响。
目的:研究数据泄露事件对医疗保健质量的影响,并探讨可能的机制。数据来源:美国卫生与公众服务部的医院级数据泄露报告,以及2013-2017年佛罗里达州住院患者数据库的患者级住院记录。研究设计:我们采用倾向评分匹配差中之差模型来估计患者在急诊科(ED)门口到医院的入院时间、入院后接受主要程序的天数、住院天数和数据泄露后的住院死亡率的变化。我们比较卫生信息技术(HIT)功能的违反和非违反医院在前后期间。数据收集/提取方法:我们的主要分析涵盖了12家医院急诊室收治的1,295,537例住院患者的记录。主要发现:数据泄露与医疗保健质量的长期改善有关,特别是在患者护理的及时性和急性心肌梗死(AMI)死亡率方面。随着时间的推移,患者从急诊科门口到医院的入院时间减少了0.56小时(95%置信区间[CI]: -1.04至-0.06小时),入院后接受主要手术的时间减少了0.18天(95% CI: -0.23至-0.13天)。此外,AMI患者的住院死亡率降低了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功能方面取得了长期进展。结论:医院数据泄露事件与医疗质量的提高有关。这种改善可能归因于医院增强了HIT的功能。
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来源期刊
Health Services Research
Health Services Research 医学-卫生保健
CiteScore
4.80
自引率
5.90%
发文量
193
审稿时长
4-8 weeks
期刊介绍: Health Services Research (HSR) is a peer-reviewed scholarly journal that provides researchers and public and private policymakers with the latest research findings, methods, and concepts related to the financing, organization, delivery, evaluation, and outcomes of health services. Rated as one of the top journals in the fields of health policy and services and health care administration, HSR publishes outstanding articles reporting the findings of original investigations that expand knowledge and understanding of the wide-ranging field of health care and that will help to improve the health of individuals and communities.
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