Suppr超能文献

对普通内科服务中医生出院预测的评估。

An evaluation of physician predictions of discharge on a general medicine service.

作者信息

Sullivan Brian, Ming David, Boggan Joel C, Schulteis Ryan D, Thomas Samantha, Choi Josh, Bae Jonathan

机构信息

Department of Medicine, Duke University Medical Center, Durham, North Carolina.

Hospital Medicine, Department of Medicine, Duke University Medical Center, Durham, North Carolina.

出版信息

J Hosp Med. 2015 Dec;10(12):808-10. doi: 10.1002/jhm.2439. Epub 2015 Oct 5.

Abstract

The goal of this study was to evaluate general medicine physicians' ability to predict hospital discharge. We prospectively asked study subjects to predict whether each patient under their care would be discharged on the next day, on the same day, or neither. Discharge predictions were recorded at 3 time points: mornings (7-9 am), midday (12-2 pm), or afternoons (5-7 pm), for a total of 2641 predictions. For predictions of next-day discharge, the sensitivity (SN) and positive predictive value (PPV) were lowest in the morning (27% and 33%, respectively), but increased by the afternoon (SN 67%, PPV 69%). Similarly, for same-day discharge predictions, SN and PPV were highest at midday (88% and 79%, respectively). We found that although physicians have difficulty predicting next-day discharges in the morning prior to the day of expected discharge, their ability to correctly predict discharges continually improved as the time to actual discharge decreased. Journal of Hospital Medicine 2015;10:808-810. © 2015 Society of Hospital Medicine.

摘要

本研究的目的是评估普通内科医生预测患者出院的能力。我们前瞻性地要求研究对象预测其负责护理的每位患者是否会在次日、当日或均不出院。出院预测记录在三个时间点:上午(上午7点至9点)、中午(中午12点至下午2点)或下午(下午5点至7点),共进行了2641次预测。对于次日出院的预测,敏感性(SN)和阳性预测值(PPV)在上午最低(分别为27%和33%),但到下午有所增加(SN为67%,PPV为69%)。同样,对于当日出院的预测,SN和PPV在中午最高(分别为88%和79%)。我们发现,尽管医生在预期出院日之前的上午很难预测次日出院情况,但随着实际出院时间的临近,他们正确预测出院的能力不断提高。《医院医学杂志》2015年;10:808 - 810。©2015医院医学协会。

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