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摘要翻译：
目的：评估医院数据泄露与医院质量结果之间的关系材料和方法：将报告给美国卫生与公众服务部泄露门户和隐私权信息交换所数据库的医院数据泄露与医疗保险医院比较数据合并，组成2011年至2015年非联邦acutecare住院医院小组。研究小组包括2619家医院。使用基于差异中差异方法的多元回归模型估计医院数据泄露后30天AMI死亡率的变化。结果：数据违约与违约后一年30天AMI死亡率增加0.338[95%CI,0.101-0.576]个百分点和违约后两年增加0.446[95%CI,0.164-0.729]个百分点有关。相比之下，由于护理方面的进步，自2011年以来，30天AMI死亡率中位数每年下降约0.4个百分点。违约对医院AMI死亡率的影响程度相当于在降低AMI死亡率方面一年的历史进步。结论：医院数据泄露显著增加了AMI的30天死亡率。数据泄露可能会扰乱依赖卫生信息技术的护理过程。修复漏洞的财务成本也可能会转移患者护理的资源。因此，被破坏的医院应该谨慎地将投资集中在安全程序、流程和卫生信息技术上，这些共同导致更好的数据安全和改善患者结果。
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英文标题：
《Do Hospital Data Breaches Reduce Patient Care Quality?》
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作者：
Sung J. Choi, M. Eric Johnson
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最新提交年份：
2019
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分类信息：
一级分类：Economics 经济学
二级分类：General Economics 一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance 数量金融学
二级分类：Economics 经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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一级分类：Statistics 统计学
二级分类：Applications 应用程序
分类描述：Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学，教育学，流行病学，工程学，环境科学，医学，物理科学，质量控制，社会科学
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英文摘要：
Objective: To estimate the relationship between a hospital data breach and hospital quality outcome Materials and Methods: Hospital data breaches reported to the U.S. Department of Health and Human Services breach portal and the Privacy Rights Clearinghouse database were merged with the Medicare Hospital Compare data to assemble a panel of non-federal acutecare inpatient hospitals for years 2011 to 2015. The study panel included 2,619 hospitals. Changes in 30-day AMI mortality rate following a hospital data breach were estimated using a multivariate regression model based on a difference-in-differences approach. Results: A data breach was associated with a 0.338[95% CI, 0.101-0.576] percentage point increase in the 30-day AMI mortality rate in the year following the breach and a 0.446[95% CI, 0.164-0.729] percentage point increase two years after the breach. For comparison, the median 30-day AMI mortality rate has been decreasing about 0.4 percentage points annually since 2011 due to progress in care. The magnitude of the breach impact on hospitals' AMI mortality rates was comparable to a year's worth historical progress in reducing AMI mortality rates. Conclusion: Hospital data breaches significantly increased the 30-day mortality rate for AMI. Data breaches may disrupt the processes of care that rely on health information technology. Financial costs to repair a breach may also divert resources away from patient care. Thus breached hospitals should carefully focus investments in security procedures, processes, and health information technology that jointly lead to better data security and improved patient outcomes.
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PDF链接：
https://arxiv.org/pdf/1904.02058
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