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常规和结构化的社会需求数据收集在改善美国医院护理方面的作用

Chelsea Richwine¹, Vaishali Patel¹, Jordan Everson¹

¹Office of the Assistant Secretary for Technology Policy, US Department of Health and Human Services, Washington, DC 20201, United States.

Journal of the American Medical Informatics Association : JAMIA

|November 6, 2024

概括

大多数美国医院收集与健康相关的社会需求 (HRSN) 数据,但常规和结构化的收集不太常见. 标准化HRSN数据收集实践对于改善患者护理和社区健康结果至关重要.

科学领域:

医疗保健服务研究医疗服务研究
公共卫生公共卫生
医疗信息学医疗信息学

背景情况:

与健康相关的社会需求 (HRSN) 显著影响患者的健康结果.
了解医院如何收集和利用HRSN数据对于改善护理协调和人口健康倡议至关重要.
目前的数据收集方法各不相同,这可能会限制对这些关键信息的有效使用.

研究的目的:

调查美国医院当前与健康相关的社会需求 (HRSN) 数据收集实践的情况.
检查不同数据收集方法对后续使用HRSN数据的影响.
确定与HRSN数据收集和利用相关的因素.

主要方法:

分析2023年来自美国2775家医院的全国代表性调查数据.
描述HRSN数据的例行和结构化收集和使用.
多变量后勤回归用于识别与数据收集和使用相关的特征,以及收集方法和数据利用之间的关系.

主要成果:

在2023年,88%的医院收集HRSN数据,其中64%以例行方式进行,72%以结构化方式进行.
收集HRSN数据的医院通常采用结构化格式,报告数据用于协调和外部转诊的比率更高 (74%) 与收集结构较差的医院相比 (67%).
常规和结构化数据收集与所有检查的数据使用,特别是二次目的有积极的关联;系统归属是唯一与数据使用一致相关的特征.

结论:

虽然大多数医院对社会需求进行选,但更少的医院采用常规和结构化数据收集方法,这些方法是促进下游数据使用的关键.
常规和结构化查产生了更多可操作的数据,支持患者护理,社区健康和改善人口健康.
标准化HRSN数据收集对于提高数据实用性和实现更好的健康结果至关重要.

关键词:

电子健康记录是电子健康记录.健康信息交换交换健康信息交换与健康相关的社会需求.查检查查检查查检查查检查健康的社会决定因素

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