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基于价值的分诊方法在评估 2014 年至 2019 年髋部骨折住院患者护理价值改善方面的应用:一项试点研究。

Usage of a Value-based Triaging Methodology for Assessing Improvements in Value for Hip Fracture Inpatient Episodes of Care From 2014 to 2019: A Pilot Study.

机构信息

From the NYU Langone Orthopedic Hospital, New York, NY, Jamaica Hospital Medical Center, Queens, NY.

出版信息

J Am Acad Orthop Surg Glob Res Rev. 2022 Oct 18;6(10). doi: 10.5435/JAAOSGlobal-D-22-00096. eCollection 2022 Oct 1.

Abstract

INTRODUCTION

The purpose of this study was to demonstrate a novel technology used to measure improvements in quality and value of care for treatment of hip fracture patients.

METHODS

A novel value-based triaging methodology uses a risk prediction (risk M) and inpatient cost prediction (risk C) algorithm and has been demonstrated to accurately predict high-risk:high-cost episodes of care. Two hundred twenty-nine hip fracture patients from 2014 to 2016 were used to establish baseline length of stay (LOS) and total inpatient cost for each (16) risk:cost quadrants. Two hundred sixty-five patients between 2017 and 2019 with hip fractures were input into the algorithm, and historical LOS and cost for each patient were calculated. Historical values were compared with actual values to determine whether the value of the inpatient episode of care differed from the 2014 to 16 cohort.

RESULTS

When evaluated without risk or cost stratification, the mean actual LOS and cost of the baseline cohort compared with the 2017 to 2019 cohort were 8.0 vs 7.5 days (P = 0.43) and $25,446 vs $29,849 (P = 0.15), respectively. This analysis demonstrates that there was only a small change in value of care provided to patients based on LOS/cost over the studied period; however, risk:cost analysis using the novel methodology demonstrated that for select risk:cost quadrants, value of care measured by LOS/cost improved, whereas for others it decreased and for others there was no change.

CONCLUSION

Risk-cost-adjusted analysis of inpatient episodes of care rendered by a value-based triaging methodology provides a robust method of assessing improvements and/or decreases in value-based care when compared with a historical cohort. This methodology provides the tools to both track hospital interventions designed to improve quality and decrease cost as well as determine whether these interventions are effective in improving value.

摘要

简介

本研究的目的是展示一种用于测量髋部骨折患者治疗质量和价值改进的新技术。

方法

一种新的基于价值的分诊方法使用风险预测(风险 M)和住院成本预测(风险 C)算法,已被证明能够准确预测高风险:高成本的护理发作。2014 年至 2016 年的 229 髋部骨折患者用于建立每个(16)风险:成本象限的基线住院时间(LOS)和总住院费用。2017 年至 2019 年期间,265 髋部骨折患者输入算法,计算每位患者的历史住院时间和成本。将历史值与实际值进行比较,以确定住院期间护理的价值是否与 2014 年至 16 年的队列不同。

结果

在没有风险或成本分层的情况下,基线队列的平均实际 LOS 和成本与 2017 年至 2019 年的队列相比分别为 8.0 天对 7.5 天(P=0.43)和 25446 美元对 29849 美元(P=0.15)。这项分析表明,在研究期间,根据 LOS/成本,为患者提供的护理价值仅略有变化;然而,使用新方法的风险:成本分析表明,对于某些风险:成本象限,衡量的护理价值通过 LOS/成本得到改善,而对于其他象限则降低,对于其他象限则没有变化。

结论

基于基于价值的分诊方法的住院发作的风险成本调整分析提供了一种强大的方法,用于评估与历史队列相比的基于价值的护理的改进和/或降低。这种方法提供了工具,既可以跟踪旨在提高质量和降低成本的医院干预措施,也可以确定这些干预措施是否有效地提高了价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2be/9584192/c14806b5aa52/jagrr-6-e22.00096-g001.jpg

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