Hospitalization Duration Following Uncomplicated Cesarean Delivery: Predictors, Facility Variation, and Outcomes

无并发症剖宫产术后住院时间:预测因素、医疗机构差异和结局

阅读:1

Abstract

Objectives  This study was designed to: (1) characterize stay duration following cesarean delivery, (2) ascertain whether facility variation exists, and (3) determine whether shorter stays are associated with rates of readmission or costs. Study Design  The 2017 Nationwide Readmissions Database was used to identify uncomplicated cesarean deliveries. Hierarchical logistic regression was used to assess for facility variation in percentage of patients discharged within 2 days. Similar models were used to assess for associations between probability of readmission within 30 days and facility-level rates of discharge within 2 days. Results  In total, 456,312 patients from 1,535 hospitals were included. The median facility discharged 46.8% of patients within 2 days, with the 25th percentile of hospitals 23.7% and the 75th percentile 71.2%. In adjusted regression, there was significant facility heterogeneity ( p  < 0.0001). The overall readmission rate was 1.7%, and proportion of patients discharged within 2 days of cesarean delivery was not associated with readmission probability (adjusted relative risk: 1.02, confidence interval: 0.90-1.16), but was associated with lower inpatient costs (adjusted incremental cost: $111, confidence interval: -181 to -41). Conclusion  Unexplained facility variation in percentage of patients discharged within 2 days of cesarean delivery was not associated with differences in readmissions. Key Points We find significant facility-level variation in outcomes following uncomplicated cesarean delivery in the United States.High rates of early (postoperative day 2) discharge was not associated with differences in readmission rates in adjusted analyses but was associated with lower inpatient costs.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。