Reassessing the July Effect: 30 Years of Evidence Show No Difference in Outcomes

重新评估“七月效应”:30 年的证据表明结果并无差异

阅读:1

Abstract

OBJECTIVE: The aim of this study was to critically evaluate whether admission at the beginning versus end of the academic year is associated with increased risk of major adverse outcomes. SUMMARY BACKGROUND DATA: The hypothesis that the arrival of new residents and fellows is associated with increases in adverse patient outcomes has been the subject of numerous research studies since 1989. Methods: We conducted a systematic review and random-effects meta-analysis of July Effect studies published before December 20, 2019, looking for differences in mortality, major morbidity, and readmission. Given a paucity of studies reporting readmission, we further analyzed 7 years of data from the Nationwide Readmissions Database to assess for differences in 30-day readmission for US patients admitted to urban teaching versus nonteach-ing hospitals with 3 common medical (acute myocardial infarction, acute ischemic stroke, and pneumonia) and 4 surgical (elective coronary artery bypass graft surgery, elective colectomy, craniotomy, and hip fracture) conditions using risk-adjusted logistic difference-in-difference regression. RESULTS: A total of 113 studies met inclusion criteria; 92 (81.4%) reported no evidence of a July Effect. Among the remaining studies, results were mixed and commonly pointed toward system-level discrepancies in efficiency. Metaanalyses of mortality [odds ratio (95% confidence interval): 1.01 (0.98-1.05)] and major morbidity [1.01 (0.99-1.04)] demonstrated no evidence of a July Effect, no differences between specialties or countries, and no change in the effect over time. A total of 5.98 million patient encounters were assessed for readmission. No evidence of a July Effect on readmission was found for any of the 7 conditions. CONCLUSION: The preponderance of negative results over the past 30 years suggests that it might be time to reconsider the need for similarly-themed studies and instead focus on system-level factors to improve hospital efficiency and optimize patient outcomes.

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。