健康和ER利用的社会决定因素:新冠肺炎期间信息整合的作用

IF 2.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Management Information Systems Pub Date : 2023-02-07 DOI:10.1145/3583077
Tian-Ze Guo, I. Bardhan, Anjum Khurshid
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引用次数: 0

摘要

急诊室(ER)入院是利用社区卫生资源的前门,也是社区卫生系统能力的宝贵代表。尽管最近的研究表明,健康的社会决定因素(SDOH)是患者健康结果的重要预测因素,但在新冠肺炎大流行期间,它们对ER利用的影响尚不清楚。此外,医院信息整合在调节SDOH对ER利用的影响方面的作用还没有得到足够的重视。利用包括新冠肺炎期间在内的六年区域健康信息交换的纵向索赔数据,我们研究了SDOH如何影响ER的利用,以及医院间患者健康信息的有效整合是否可以缓和其影响。我们的研究结果表明,患者的经济状况显著降低了未来ER的利用率。当患者在信息集成度高的医院接受治疗时,这种关系的重要性是显著的,但当患者在信息化程度较低的医院接受护理时,这种联系就较弱了。相反,当患者在信息集成度低的医院接受治疗时,患者的家庭和社会支持会降低ER的利用率。换句话说,SDOH的不同维度在低信息集成条件与高信息集成条件下是重要的。此外,预测模型显示,患者就诊类型和既往就诊史可以显著提高ER利用率的预测准确性。我们的研究意义支持制定SDOH数据收集和共享的国家标准,以及医疗保健提供者和政策制定者对其临床决策的使用和解释。
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Social Determinants of Health and ER Utilization: Role of Information Integration during COVID-19
Emergency room (ER) admissions are the front door for the utilization of a community's health resources and serve as a valuable proxy for a community health system's capacity. While recent research suggests that social determinants of health (SDOH) are important predictors of patient health outcomes, their impact on ER utilization during the COVID-19 pandemic is not well understood. Further, the role of hospital information integration in moderating the impact of SDOH on ER utilization has not received adequate attention. Utilizing longitudinal claims data from a regional health information exchange spanning six years including the COVID-19 period, we study how SDOH affects ER utilization and whether effective integration of patient health information across hospitals can moderate its impact. Our results suggest that a patient's economic well-being significantly reduces future ER utilization. The magnitude of this relationship is significant when patients are treated at hospitals with high information integration but is weaker when patients receive care at hospitals with lower levels of information integration. Instead, patients' family and social support can reduce ER utilization when they are treated at hospitals with low information integration. In other words, different dimensions of SDOH are important in low versus high information integration conditions. Furthermore, predictive modeling shows that patient visit type and prior visit history can significantly improve the predictive accuracy of ER utilization. Our research implications support efforts to develop national standards for the collection and sharing of SDOH data, and their use and interpretation for clinical decision making by healthcare providers and policy makers.
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来源期刊
ACM Transactions on Management Information Systems
ACM Transactions on Management Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.30
自引率
20.00%
发文量
60
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