基于值的老年髋部骨折住院患者分诊算法的发展。

S. Konda, Ariana Lott, K. Egol
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引用次数: 23

摘要

本研究的目的是将一种有效的中老年创伤风险评估工具(STTGMA)与一种新颖的成本预测工具相结合,为老年髋部骨折创建一个客观的分诊工具,以指导基于价值的护理计划。方法:2014年10月至2018年1月,所有年龄≥55岁、初步诊断为髋部骨折的患者进入单一一级创伤中心。在急诊科评估后,记录人口统计、损伤严重程度和功能状态,以计算创伤分诊评分(STTGMARisk)。使用类似的变量(sttgmaccost)创建了一个预测高成本髋部骨折患者的模型。结果共纳入361例连续手术髋部骨折患者。住院死亡率向STTGMARisk3倾斜,该高危组中21.4%的患者最终在住院期间死亡。高成本患者被正确地偏向于STTGMACost2和STTGMACost3组,88.9%的高成本手术治疗髋部骨折被正确地分类到这些队列。在每个STTGMARisk组中发现了统计学上显著的差异。结论入院时计算的简单风险评分(STTGMARisk和STTGMACost)不仅可以作为区分髋部骨折患者死亡风险增加的分诊工具,而且可以根据资源利用情况预测高成本患者。证据等级:预后,II级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Value-based Algorithm for Inpatient Triage of Elderly Hip Fracture Patients.
INTRODUCTION The purpose of this study was to combine a validated middle-age and geriatric trauma risk assessment tool (STTGMA) with a novel cost-prediction tool to create an objective triage tool for elderly hip fractures that would guide value-based care initiatives. METHODS From October 2014 to January 2018, all patients aged ≥55 years who were admitted with a primary diagnosis of hip fracture to a single level 1 trauma center were enrolled. Upon evaluation in the emergency department, demographics, injury severity, and functional status were recorded to calculate the trauma triage score (STTGMARisk). A model to predict high-cost hip fracture patients was created using similar variables (STTGMACost). RESULTS Three hundred sixty-one consecutive operative hip fracture patients were enrolled. Inpatient mortalities were skewed toward STTGMARisk3 with 21.4% of patients in this high-risk group ultimately expiring during their hospitalization. High-cost patients were correctly skewed to the STTGMACost2 and STTGMACost3 groups with 88.9% of all high-cost operatively treated hip fracture correctly triaged to these cohorts. Statistically significant variations were found in cost within each STTGMARisk group. CONCLUSIONS A simple risk score calculated upon admission (STTGMARisk and STTGMACost) was able to be used as a triage tool not only to differentiate increased mortality risk but also to predict high-cost patients based on resource utilization in hip fracture patients. LEVEL OF EVIDENCE Prognostic, level II.
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