TRUCKING FIRM CHARACTERISTICS, DRIVER INJURY AND OUTCOME

产品说明： 卡车司机的职业伤害和疾病数量最多 导致1992-97年期间的缺勤率和第三高的比率。 除了背部受伤，几乎没有关于危险因素的信息 对于这样的伤害。 无论是个人因素的作用还是运动的作用 承运人（货运公司）的经营特点和车辆特点是 明白 这项研究汇集了来自卡车运输的专家， 工业关系、职业医学/流行病学和生物统计学， 链接和分析以前未合并的数据集， 调查与卡车司机受伤和结果相关的因素。 本研究将：1）计算机动车运营的发病率 特征、车队规模和卡车配置; 2）估计医疗服务 按社会人口统计学、卡车公司和 特定医学诊断和建模，例如与逻辑或泊松一起使用 回归; 3）使用逻辑的通过损失的工作时间测量的模型结果， Poisson和考克斯模型;以及4）计算所得结果的预测值 以适当的方法建立模型。 薪酬信息将从一个主要的工业化 州劳工赔偿局 数据覆盖了大约60-65%的 国家工作人员，包括2-500名工人的公司的所有工人， 由自我保险的雇主承保的劳动力的平衡。 的数据 工人赔偿机构包括社会人口、事故 特点、医疗保健使用和误工补偿。 的 研究人群包括约12，000名与工作有关的工人 1996- 1998年发生的伤害或疾病。 将提供随访 到2001年年中。汽车运输车的运行特性和车辆特征 将从联邦或州监管机构获得。 卡车冲撞人群事件 还将从联邦或州来源获得信息。 发病率是通过将薪酬和卡车公司数据联系起来计算的。 Logistic、Poisson和考克斯模型用于检验假设和识别 发病率、医疗保健使用和结局的重要因素。 预测 值通过ROC曲线、贝叶斯信息标准或其他方法进行评估。 推荐的方法。

DESCRIPTION: Truck drivers had the highest number of occupational injuries and illnesses causing time away from work during 1992-97 and the third highest rates. Except for back injuries, almost no information is available on risk factors for such injuries. Neither the role of personal factors nor that of motor carrier (trucking firm) operating characteristics and vehicle features is understood. This study brings together experts from truck transportation, industrial relations, occupational medicine/epidemiology and biostatistics to link and analyze data sets that have not been combined previously to investigate factors associated with truck driver injury and outcome. The study will: 1) calculate incidence rates by motor carrier operating characteristics, fleet size and truck configuration; 2) estimate medical care use in different medical care settings by social-demographic, truck firm and specific medical diagnosis and model such use with logistic or Poisson regression; 3) model outcome measured by lost work-time using logistic, Poisson and Cox models; and 4) calculate the predictive value of the resulting models by appropriate methodology. The compensation information will be obtained from a major industrialized State's workers' compensation bureau. The data covers about 60-65% of the state workers, including all workers in firms with 2-500 workers, with the balance of the workforce covered by self-insured employers. Data from the workers' compensation agency include social-demographic, accident characteristics, medical care use and compensation for lost work-time. The study population consists of about 12,000 workers who had work-related injuries or illnesses occurring in 1996-98. Follow-up will be available through mid-2001. Motor carrier operating characteristics and vehicle features will be obtained from federal or state regulatory agencies. Truck crash information will also be obtained from federal or state sources. Incidence rates are calculated by linking compensation and truck firm data. Logistic, Poisson and Cox models are used to test hypotheses and identify significant factors in incidence, medical care use and outcome. Predictive value is evaluated by ROC curves, the Bayes Information Criteria or other recommended approaches.