Incidence of workers compensation indemnity claims across socio-demographic and job characteristics.
Incidence of workers compensation indemnity claims across socio-demographic and job characteristics.
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不同社会人口和工作特征的工人赔偿索赔发生率。
DOI：
10.1002/ajim.20985
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发表时间：
2011
影响因子：
3.5
通讯作者：
Leigh,JPaul
中科院分区：
文献类型：
--
作者：
Du,Juan;Leigh,JPaul
我们假设，低社会经济地位，雇主提供的医疗保险，低工资和加班是报告工人赔偿索赔的预测因素。我们还测试了性别和种族的差异。MethodsResponses从17,190（人-年）的美国人参与的面板研究的收入动态，1997年至2005年，进行了分析与逻辑回归。因变量表明是否受试者收集的好处从一个claims.ResultsOdds比男性和非洲裔美国人是相对较大的，强烈显着的预测索赔;西班牙裔的意义是温和的，混杂的教育。测量教育的变量的优势比是所有统计学显著协变量中最大的。低工资和雇主提供的医疗保险都不是一致的预测因素。由于混杂的“不领薪水”的变量，加班是不是一个一贯的显着predictor.Conclusionfew研究使用全国代表性的纵向数据，考虑人口和工作特点预测报告工人的赔偿案件。这项研究做了一些常见的假设和测试的预测。Am. J. Ind. Med. 54：758-770，2011.© 2011 Wiley利斯公司
BackgroundWe hypothesized that low socioeconomic status, employer‐provided health insurance, low wages, and overtime were predictors of reporting workers compensation indemnity claims. We also tested for gender and race disparities.MethodsResponses from 17,190 (person‐years) Americans participating in the Panel Study of Income Dynamics, 1997–2005, were analyzed with logistic regressions. The dependent variable indicated whether the subject collected benefits from a claim.ResultsOdds ratios for men and African‐Americans were relatively large and strongly significant predictors of claims; significance for Hispanics was moderate and confounded by education. Odds ratios for variables measuring education were the largest for all statistically significant covariates. Neither low wages nor employer‐provided health insurance was a consistent predictor. Due to confounding from the “not salaried” variable, overtime was not a consistently significant predictor.ConclusionFew studies use nationally representative longitudinal data to consider which demographic and job characteristics predict reporting workers compensation indemnity cases. This study did and tested some common hypotheses about predictors. Am. J. Ind. Med. 54:758–770, 2011. © 2011 Wiley‐Liss, Inc.
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