Suppr超能文献

人口统计学、财务和医院因素对早产儿住院时间的影响:一项美国国家数据库研究。

The effect of demographic, financial and hospital factors on the length of stay of preterm infants: a US national database study.

机构信息

Cleveland Clinic Children's, Cleveland, OH, USA.

Nassau University Medical Center, New York, NY, USA.

出版信息

J Perinatol. 2024 Feb;44(2):173-178. doi: 10.1038/s41372-023-01836-9. Epub 2023 Nov 25.

Abstract

INTRODUCTION

Preterm birth is a leading cause for prolonged length of stay (LOS) in the hospital. In the USA, the rate of preterm birth is around 10.5%, thereby contributing substantially to the burden of hospitalization. The interaction of demographic, financial, and hospital factors with LOS of preterm infants has not been studied.

OBJECTIVE

To assess the effect of demographic, financial, and hospital factors on LOS of surviving preterm infants born at 23 0/7-36 6/7 weeks of gestational age (GA).

METHODS

We utilized de-identified patient information from the Healthcare Cost and Utilization Project (HCUP) from 2016-2020. All infants with GA between 23 0/7 and 36 6/7 weeks were identified. ANOVA test was used to assess LOS differences at different GA. Cochran-Armitage test was used for trend analyses.

RESULTS

A total of 1,359,280 surviving premature infants were included in the study. LOS was significantly (p < 0.001) impacted by GA, ethnic group, hospital size and type, and US geographic region. LOS was not affected by sex or type of health insurance.

CONCLUSION

LOS of preterm infants is significantly affected by multiple demographic factors that are potentially modifiable. These findings can remarkably help policymakers and stakeholders optimize interventions and resource allocations for preterm infants.

摘要

引言

早产是导致住院时间延长(LOS)的主要原因。在美国,早产率约为 10.5%,因此对住院负担有重大影响。人口统计学、财务和医院因素与早产儿 LOS 的相互作用尚未得到研究。

目的

评估人口统计学、财务和医院因素对存活的 23 0/7-36 6/7 周胎龄(GA)早产儿 LOS 的影响。

方法

我们利用了 2016-2020 年医疗保健成本和利用项目(HCUP)的去识别患者信息。确定了 GA 在 23 0/7 和 36 6/7 周之间的所有婴儿。使用 ANOVA 检验评估不同 GA 下 LOS 的差异。使用 Cochran-Armitage 检验进行趋势分析。

结果

共有 1,359,280 名存活的早产儿纳入研究。GA、种族群体、医院规模和类型以及美国地理位置显著影响 LOS(p<0.001)。性别或健康保险类型对 LOS 没有影响。

结论

早产儿 LOS 受到多种潜在可改变的人口统计学因素的显著影响。这些发现可以帮助政策制定者和利益相关者显著优化早产儿的干预措施和资源分配。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验