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预测与工作相关的残疾和医疗费用结果:损伤严重程度评分方法的比较。

Predicting work-related disability and medical cost outcomes: a comparison of injury severity scoring methods.

作者信息

Sears Jeanne M, Blanar Laura, Bowman Stephen M

机构信息

Department of Health Services, School of Public Health, University of Washington, Seattle, WA, USA.

出版信息

Injury. 2014 Jan;45(1):16-22. doi: 10.1016/j.injury.2012.12.024. Epub 2013 Jan 21.

Abstract

INTRODUCTION

Acute work-related trauma is a leading cause of death and disability among U.S. workers. Occupational health services researchers have described the pressing need to identify valid injury severity measures for purposes such as case-mix adjustment and the construction of appropriate comparison groups in programme evaluation, intervention, quality improvement, and outcome studies. The objective of this study was to compare the performance of several injury severity scores and scoring methods in the context of predicting work-related disability and medical cost outcomes.

METHODS

Washington State Trauma Registry (WTR) records for injuries treated from 1998 to 2008 were linked with workers' compensation claims. Several Abbreviated Injury Scale (AIS)-based injury severity measures (ISS, New ISS, maximum AIS) were estimated directly from ICD-9-CM codes using two software packages: (1) ICDMAP-90, and (2) Stata's user-written ICDPIC programme (ICDPIC). ICDMAP-90 and ICDPIC scores were compared with existing WTR scores using the Akaike Information Criterion, amount of variance explained, and estimated effects on outcomes. Competing risks survival analysis was used to evaluate work disability outcomes. Adjusted total medical costs were modelled using linear regression.

RESULTS

The linked sample contained 6052 work-related injury events. There was substantial agreement between WTR scores and those estimated by ICDMAP-90 (kappa=0.73), and between WTR scores and those estimated by ICDPIC (kappa=0.68). Work disability and medical costs increased monotonically with injury severity, and injury severity was a significant predictor of work disability and medical cost outcomes in all models. WTR and ICDMAP-90 scores performed better with regard to predicting outcomes than did ICDPIC scores, but effect estimates were similar. Of the three severity measures, maxAIS was usually weakest, except when predicting total permanent disability.

CONCLUSIONS

Injury severity was significantly associated with work disability and medical cost outcomes for work-related injuries. Injury severity can be estimated using either ICDMAP-90 or ICDPIC when ICD-9-CM codes are available. We observed little practical difference between severity measures or scoring methods. This study demonstrated that using existing software to estimate injury severity may be useful to enhance occupational injury surveillance and research.

摘要

引言

急性工作相关创伤是美国工人死亡和残疾的主要原因。职业健康服务研究人员指出,迫切需要确定有效的损伤严重程度衡量指标,以用于病例组合调整以及在项目评估、干预、质量改进和结果研究中构建合适的对照组等目的。本研究的目的是比较几种损伤严重程度评分和评分方法在预测工作相关残疾和医疗费用结果方面的表现。

方法

将1998年至2008年治疗的损伤的华盛顿州创伤登记处(WTR)记录与工伤赔偿申请相链接。使用两个软件包直接从ICD - 9 - CM编码估计几种基于简略损伤量表(AIS)的损伤严重程度衡量指标(损伤严重程度评分(ISS)、新ISS、最大AIS):(1)ICDMAP - 90,以及(2)Stata的用户编写的ICDPIC程序(ICDPIC)。使用赤池信息准则、解释的方差量以及对结果的估计影响,将ICDMAP - 90和ICDPIC评分与现有的WTR评分进行比较。使用竞争风险生存分析来评估工作残疾结果。使用线性回归对调整后的总医疗费用进行建模。

结果

关联样本包含6052起工作相关损伤事件。WTR评分与ICDMAP - 90估计的评分之间存在高度一致性(kappa = 0.73),WTR评分与ICDPIC估计的评分之间也存在高度一致性(kappa = 0.68)。工作残疾和医疗费用随损伤严重程度单调增加,并且在所有模型中损伤严重程度都是工作残疾和医疗费用结果的显著预测因素。在预测结果方面,WTR和ICDMAP - 90评分比ICDPIC评分表现更好,但效应估计相似。在这三种严重程度衡量指标中,除了预测完全永久性残疾时,最大AIS通常是最弱的。

结论

损伤严重程度与工作相关损伤的工作残疾和医疗费用结果显著相关。当有ICD - 9 - CM编码时,可以使用ICDMAP - 90或ICDPIC估计损伤严重程度。我们观察到严重程度衡量指标或评分方法之间几乎没有实际差异。本研究表明,使用现有软件估计损伤严重程度可能有助于加强职业伤害监测和研究。

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