Unexpected death after medical encounters: Measurement, reporting, and analysis

医疗事故后的意外死亡：测量、报告和分析

• 批准号: 8550845
• 负责人: Ziad Obermeyer
• 金额: $ 31.74万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-25 至 2017-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8550845
• 关键词: Accident and Emergency department; Arrhythmia; Cardiac; Caring; Case-Control Studies; Cessation of life; Chest Pain; Clinic; Clinical; Clinical Data; Comorbidity; Consensus; Country; Data; Data Analyses; Databases; Diagnostic tests; EFRAC; Economic Factors; Elderly; Emergency Situation; Event; Frequencies; Goals; Health Information System; Health Services; Health care facility; Health system; Healthcare; Home environment; Hospitals; Implantable Defibrillators; Income; Individual; International; Judgment; Linguistics; Link; Location; Measurement; Measures; Medical; Medicare; Medicare claim; Methods; Outpatients; Patients; Performance; Pharmaceutical Preparations; Phase; Physicians; Policy Maker; Population; Provider; Quality of Care; Recording of previous events; Records; Reporting; Research Project Grants; Risk Assessment; Series; Sudden Death; Symptoms; Syncope; System; Test Result; Testing; Training; Unconscious State; United States Social Security Administration; Variant; Visit; Work; administrative database; base; beneficiary; clinical care; cost; design; experience; health care service organization; high risk; improved; novel; social

DESCRIPTION (provided by applicant): Of the 120 million patients seen annually in US Emergency Departments, 85% are discharged home, as are the vast majority of the one billion patients seen in ambulatory clinics. While rates of in-hospital deaths are routinely measured and reported, deaths outside of health facilities are far more challenging to capture because of fragmented health information systems both within and among health care organizations. As a result, providers have no systematic way of knowing when a patient dies unexpectedly after being sent home, and policy makers cannot readily measure how frequently these catastrophic events occur. I propose a series of linked research projects to track and analyze unexpected deaths after medical encounters, using data from a large academic hospital system as well as Medicare claims, in order to identify factors related to individual patients, providers, and system that increase the likelihood of such events. I will subsequently adapt the methods to an international setting, where clinical and administrative data are less complete than in the US. This work would have important implications for improving both clinical care and health services design. In addition, a systematic method for tracking and reporting rates of unexpected early deaths would be a useful way to measure health services performance, and assess trade-offs between quality and cost.

描述（由申请人提供）：在美国急诊科每年就诊的1.2亿患者中，85%出院回家，在门诊就诊的10亿患者中绝大多数也是如此。虽然医院内的死亡率是常规测量和报告的，但由于医疗保健组织内部和之间的医疗信息系统支离破碎，因此在医疗机构外的死亡率更难以捕捉。因此，医疗服务提供者没有系统的方法来了解病人在被送回家后何时意外死亡，政策制定者也无法轻易衡量这些灾难性事件发生的频率。我提出了一系列相关的研究项目来跟踪和分析医疗事故后的意外死亡，使用来自大型学术医院系统以及医疗保险索赔的数据，以确定与个体患者，提供者和系统相关的因素，这些因素增加了此类事件的可能性。随后，我将调整方法，以适应国际环境，其中临床和管理数据不如美国完整。这项工作将有重要的意义，改善临床护理和卫生服务的设计。此外，采用系统的方法跟踪和报告意外早死率，将是衡量保健服务业绩和评估质量与成本之间权衡的一个有用方法。