解决住院病人能力短缺:质量改进倡议,以增加预期出院日期文件。

IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES
Elizabeth C. Kuhn MD (is Fellow, Hospital Medicine, Children’s Hospital of Philadelphia, and Instructor, Perelman School of Medicine, University of Pennsylvania.) , Katherine Pumphrey MD, MHA, MSHP (is Associate Director of Quality and Safety for Hospital Medicine, Department of Pediatrics, Boston Children’s Hospital.) , Tyler Bruinsma MD (is Resident, Department of Pediatrics, Children’s Hospital of Philadelphia.), Christopher Oskins MBA (is Enterprise Improvement Advisor, Children’s Hospital of Philadelphia.), Max Hans (is Lead Data Analyst, Children’s Hospital of Philadelphia.), Jessica Nguyen (is Care Team Assistant, Children’s Hospital of Philadelphia.), Fredrick Chang (is Care Team Assistant, Children’s Hospital of Philadelphia.), Brock Hoehn (is Care Team Assistant, Children’s Hospital of Philadelphia), Emily Kane MD, MS (is Pediatrician, Children’s Hospital of Philadelphia, and Clinical Associate Professor of Pediatrics, Perelman School of Medicine, University of Pennsylvania. Please address correspondence to Elizabeth C. Kuhn)
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引用次数: 0

摘要

导言:全国儿科医院的能力下降,使医院容易受到能力限制。大约四分之一的儿科患者因计划不周和沟通不周而延迟出院。作为通过改善沟通减少住院时间(LOS)的全医院质量改进工作的一部分,一个跨学科团队试图在2023年2月之前将六个低绩效团队的预期出院日期(EDD)文件从14.2%增加到50%,其中包括儿童机会指数(COI)。方法:团队确定了EDD文档的三个主要驱动因素:知识、物流和竞争优先级。通过八个计划-执行-研究-行动周期实施了解决这些驱动因素的干预措施,并通过统计过程控制图分析了影响。测量包括EDD记录(主要结果测量)、LOS(次要结果测量)、每位患者EDD的讨论(过程测量)、住院时间、中午前出院和EDD准确性(平衡测量)。结果:基线期(2021年7月至2022年8月)和干预期(2022年9月至2024年8月)共纳入18889例出院患者。EDD文件显示了特殊的原因变化,从14.2%增加到55.7%,并持续了20个月。改善在整个COI中一致,准确率为93.94%。LOS和舍入时间不变。每位患者对EDD的讨论从38.9%下降到29.4%。结论:虽然这项工作没有降低LOS,但EDD文件增加了。在干预期间,该系统提供了超过12,000次的实时数据。EDD文档可以作为机构领导者告知能力管理策略的有价值的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Addressing the Inpatient Capacity Crunch: A Quality Improvement Initiative to Increase Expected Discharge Date Documentation

Introduction

Pediatric hospital capacity has decreased nationally, leaving hospitals vulnerable to capacity constraints. Approximately one fourth of pediatric patients experience discharge delays secondary to poor planning and miscommunication. As part of a hospitalwide quality improvement effort to decrease length of stay (LOS) through improved communication, an interdisciplinary team sought to increase expected discharge date (EDD) documentation for discharges on six low-performing teams from 14.2% to 50% by February 2023, inclusive of Child Opportunity Index (COI).

Methods

The team identified three primary drivers of EDD documentation: knowledge, logistics, and competing priorities. Interventions to address these drivers were implemented through eight Plan-Do-Study-Act cycles and the impact analyzed via statistical process control charts. Measures included EDD documentation (primary outcome measure), LOS (secondary outcome measure), discussion of the EDD per patient (process measure), rounding time, discharge by noon, and EDD accuracy (balancing measures).

Results

A total of 18,889 discharges were included during the baseline (July 2021 to August 2022) and intervention (September 2022 to August 2024) periods. EDD documentation demonstrated special cause variation, increasing from 14.2% to 55.7%, and was sustained for 20 months. Improvement was consistent across COI with 93.94% accuracy. LOS and rounding time were unchanged. Discussion of the EDD per patient decreased from 38.9% to 29.4%.

Conclusion

Although this effort did not decrease LOS, EDD documentation increased. This provided real-time data for more than 12,000 discharges during the intervention period. EDD documentation may serve as a valuable tool for institutional leaders to inform capacity management strategy.
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来源期刊
CiteScore
3.80
自引率
4.30%
发文量
116
审稿时长
49 days
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