Understanding the impact of social determinants of health (SDOH) on CA, including access to care pre-cardiac arrest (CA) can improve outcomes. Large databases, such as Epic Cosmos, can help identify trends in patient demographics and SDOH that identify gaps in care. The purpose of this study was to determine the incidence of CA and subsequent mortality in a large national database across patient demographics and social determinants and characterize pre-arrest care patterns.

中文翻译：

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与心脏骤停和死亡率相关的社会决定因素和心脏骤停前护理模式


了解健康的社会决定因素 （SDOH） 对 CA 的影响，包括获得心脏骤停前 （CA） 的护理可以改善结果。大型数据库（例如 Epic Cosmos）可以帮助识别患者人口统计和 SDOH 的趋势，从而确定护理差距。本研究的目的是在一个大型国家数据库中确定 CA 的发生率和随后的死亡率，涵盖患者人口统计学和社会决定因素，并描述逮捕前护理模式。