Utilization of Tennessee Workers' Compensation Data for Injury Surveillance and Prevention

 描述（由申请人提供）：项目摘要[通过PAR-14-227的申请，田纳西大学诺克斯维尔（UTK）的建筑业研究和政策中心（CIRPC）寻求开展一个项目，利用现有的工人赔偿（WC）数据改善职业伤害监测。我们已经组建了一个来自医学，公共卫生和学术界的多学科咨询团队，并补充了我们自己的资源，并配备了一名在WC首次伤害报告（FROI）索赔和分母就业数据方面经验丰富的顾问。通过这种合作，我们希望在公共卫生和职业卫生的交叉点获得健康改善的见解。田纳西州劳工和劳动力发展部（TDLWD）工人赔偿局（BWC）维护着一个包含68个变量的数据库（见附录A），这些变量来自120，000份年度医疗和赔偿索赔，作为首次伤害报告（FROI）信息。该数据具有很大的潜力，以补充现有的数据来源，在职业健康监测。在剔除可辨识个人身份的数据及其他非必要变数后，我们会收集三年的数据，以点算受伤个案，然后根据私营机构的行业和机构规模计算受伤率。通过联邦雇主识别号码（FEIN）将这些数据与该州的失业保险（UI）数据库联系起来，就可以获得NAICS行业和企业规模阶层的受伤人数的可靠数据。更进一步，我们可以通过使用QCEW、CPS和ACS等数据库，使用NAICS链接来确定行业就业情况。我们将联合收割机结合国家统计数据和就业决定因素，计算受伤率，并创建优先级指数，作为最终报告文件的一部分。这份报告可以通过确定关键行业（例如， 建筑中的坠落保护）或跨行业常见疾病的伤害预防（例如肌肉骨骼伤害）。包含关键行业、事件和疾病/损伤信息的数据库预计将带来更长期的受益。该数据库将使随后的研究和通知行业教育工作。最重要的是，我们希望这个项目将成为摧毁目前存在于州内各国家机构和学术界之间的筒仓的动力。]

 DESCRIPTION (provided by applicant):Project Summary [With this application for PAR-14-227, the Construction Industry Research and Policy Center (CIRPC) at the University of Tennessee Knoxville (UTK) seeks to undertake a project to improve occupational injury surveillance using existing workers' compensation (WC) data. We have assembled a multidisciplinary advisory team from medicine, public health, and the academic community and supplement our own resources with a consultant experienced with WC First Report of Injury (FROI) claims, and denominator employment data. With this collaboration we expect to gain insight for health improvements at the intersections of public and occupational health. The Tennessee Department of Labor and Workforce Development (TDLWD) Bureau of Workers' Compensation (BWC) maintains a database of 68 variables (see Appendix A) from 120,000 annual medical and indemnity claims as First Report of Injury (FROI) information. This data is has great potential to supplement existing data sources in occupational health surveillance. After eliminating personally identifiable information and other non-essential variables, we will collect three years of data for the enumeration of injury counts and subsequent calculation of injury rates based on industry and establishment size for the private sector. By linking this data with the state's Unemployment Insurance (UI) database through the Federal Employer Identification Number (FEIN), reliable data can be obtained on injury counts for NAICS industries and establishment size strata. Going further, we can use the NAICS linkage to determine industry employment through the use of databases such as the QCEW, CPS, and ACS. We will combine the state count data and publically accessible employment determinants to calculate injury rates and create prioritization indices as part of a final report document. This report can provide immediate returns by identifying focus areas for targeted intervention in critical industries (e.g. fall protection in construction) or injury prevention for common maladies across industries (e.g. musculoskeletal injuries). Longer term benefits are expected to result from a database containing the key industry, event, and illness/injury information. The database will enable subsequent research and inform industry educational efforts. Most importantly, we expect this project to be the impetus for destroying the silos currently existing between the various state agencies and the academic community within the state. ]