TRUCKING FIRM CHARACTERISTICS, DRIVER INJURY AND OUTCOME

卡车运输公司的特点、驾驶员受伤和结果

• 批准号: 6199410
• 负责人: ARTHUR OLEINICK
• 金额: $ 30.2万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-01 至 2004-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6199410
• 关键词: clinical research; disease /disorder proneness /risk; human data; injury; occupational health /safety; occupations

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.

描述： 卡车司机的职业伤害和疾病数量最多 1992-97 年期间造成的缺勤率位居第三。 除了背部受伤之外，几乎没有关于危险因素的信息 对于这样的伤害。 既不是个人因素的作用，也不是运动因素的作用 承运人（货运公司）的运营特点和车辆特点是 明白了。 这项研究汇集了来自卡车运输、 劳资关系、职业医学/流行病学和生物统计学 链接和分析之前未合并的数据集 调查与卡车司机受伤和结果相关的因素。 该研究将： 1) 计算按机动车运营商划分的发病率 特点、车队规模和卡车配置； 2) 估计医疗护理 社会人口、卡车公司和医疗机构在不同医疗保健环境中的使用 特定的医疗诊断和模型，例如使用逻辑或泊松 回归； 3）使用逻辑通过损失的工作时间来衡量模型结果， 泊松和考克斯模型； 4) 计算结果的预测值 通过适当的方法建立模型。 补偿信息将从主要工业化企业获得 州工人赔偿局。 数据覆盖约60-65% 国家工作人员，包括拥有 2 至 500 名员工的公司中的所有工作人员， 自我保险雇主覆盖的劳动力平衡。 数据来自 工人赔偿机构包括社会人口、事故 特征、医疗保健使用和误工补偿。 这 研究对象包括大约 12,000 名有工作相关经历的工人 1996-98 年发生的伤害或疾病。 后续将可提供 到 2001 年中期。汽车承运人运营特点和车辆特点 将从联邦或州监管机构获得。 卡车相撞 信息也将从联邦或州来源获得。 发生率是通过将薪酬和卡车公司数据联系起来计算的。 Logistic、Poisson 和 Cox 模型用于检验假设并识别 发病率、医疗护理使用和结果的重要因素。 预测性 值通过 ROC 曲线、贝叶斯信息标准或其他方法评估 推荐的方法。