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

 描述(由申请人提供)：项目摘要[通过这份PAR-14-227申请，田纳西诺克斯维尔大学(UTK)建筑业研究和政策中心(CIRPC)寻求开展一个项目，利用现有的工人补偿(WC)数据来改善职业伤害监测。我们组建了一支来自医学、公共卫生和学术界的多学科咨询团队，并由一名经验丰富的顾问补充我们自己的资源，该顾问精通WC First Report of Damage(FROI)索赔和分母就业数据。通过这一合作，我们希望在公共健康和职业健康的交叉点上获得对健康改善的洞察。田纳西州劳动和劳动力发展部(TDLWD)工人补偿局(BWC)维护着一个数据库，其中包含作为第一次伤害报告(FROI)信息的12万份年度医疗和赔偿索赔中的68个变量(见附录A)。这些数据对补充现有的职业健康监测数据来源具有很大的潜力。在剔除个人身份信息和其他非必要变量后，我们将收集三年的数据，用于统计私营部门的工伤计数，并随后根据行业和机构规模计算工伤率。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，可以获得NAICS行业和机构规模阶层的可靠数据。更进一步，我们可以通过使用QCEW、CPS和ACS等数据库，使用NAICS联系来确定行业就业情况。我们将结合州统计数据和公众可访问的就业决定因素来计算伤害率，并创建优先排序指数，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有针对性干预的重点领域(例如 建筑中的跌倒保护)或跨行业常见疾病的伤害预防(例如肌肉骨骼损伤)。较长期的福利预计将来自一个包含关键行业、事件和疾病/伤害信息的数据库。该数据库将使后续研究成为可能，并为行业教育工作提供信息。最重要的是，我们预计这个项目将成为摧毁目前存在于各个州机构和该州内学术界之间的孤岛的动力。]

 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. ]