SSDI Benefit Impacts Of Occupational Injuries/Illnesses

本项目将探索使用几个大型数据库， 对职业伤害的影响进行国家估计， 社会保障残疾保险（Social Security Disability Insurance，SSDI）。的 在过去的十年里，SSDI计划的成本迅速增加， 很可能这些福利的很大一部分是由于职业 受伤和疾病。需要从工资中为这些SSDI福利提供资金 税收是国家努力稳定社会保障的一个主要问题。 估计SSDI效益节省，导致控制职业 伤害和疾病将是联邦卫生政策和优先事项的重要组成部分 设置. 衡量SSDI的效益影响需要关于个别工人的数据 覆盖足够长的时间段，以捕捉他们从发病到死亡的过程， 职业伤害或疾病，以获得SSDI福利。两 数据源，在足够长的时间内为大量工作人员捕获数据， 长时间段是1）私人长期残疾（LTD）索赔数据和2） 大规模的小组调查，如收入和计划调查 参与（SIPP）。在这个项目中，我们将开发和测试方法， 产生职业伤害和疾病的国家SSDI福利影响 这两种数据。LTD索赔数据代表了 一家大型保险公司的保单覆盖约50万工人， 1992-1997年期间，有1，400多名雇主。将分析SIPP数据 从1996年SIPP（一项为期四年的小组调查）和1992年和1993年的数据 SIPP调查（包括对2010年调查的答复者的长期后续行动） Program Dynamics）。LTD索赔数据将用于制定国家估计数 SSDI对所有美国人的职业伤害和疾病的影响 受私人有限公司保险保障的工人。我们还将研究 这些估计数按受伤或疾病的诊断类别、按地区和 行业基于SIPP的SSDI效益影响估计将涵盖 所有工人的职业伤害和疾病 已收到补偿金。我们还将研究这些变化 按地区、行业、工人人口统计和健康问题进行的估计 类别.我们将研究SIPP的基准估计战略， 和LTD数据与其他国家数据集进行比较。探索性统计模型 还将开发以探索工人赔偿的相互作用 项目特点和SSDI效益影响。

This project will explore the use of several large databases for developing national estimates of the impact of occupational injuries and illnesses on Social Security Disability Insurance (SSDI) benefit payments. The cost of the SSDI program has increased rapidly in the past decade and it is likely that a large portion of these benefits are attributable to occupational injuries and illnesses. The need to fund these SSDI benefits out of payroll taxes is a major concern in the national efforts to stabilize Social Security. Estimates of SSDI benefit savings that result from controlling occupational injuries and illnesses will be important for Federal health policy and priority setting. Measurement of SSDI benefit impacts requires data on individual workers covering a long enough time period to capture their progression from the onset of an occupational injury or illness to their receipt of SSDI benefits. Two data sources that capture data for large numbers of workers over a sufficiently long time period are 1) private long-term disability (LTD) claims data and 2) large-scale panel surveys such as the Survey of Income and Program Participation (SIPP). In this project, we will develop and test methods for generating national SSDI benefit impacts of occupational injuries and illnesses from both types of data. LTD claims data represent the claims experience for one large insurer of policies covering approximately 500,000 workers of more than 1,400 employers during the period 1992-1997. SIPP data will be analyzed from the 1996 SIPP (a four-year panel survey) and data from the 1992 and 1993 SIPP surveys (including an extended follow-up for respondents to the Survey of Program Dynamics). LTD claims data will be used to develop national estimates of SSDI benefit impacts of occupational injuries and illnesses for all U.S. workers covered by private LTD insurance. We will also examine variations in these estimates by diagnostic category of injury or illness, by region, and by industry. SSDI benefit impact estimates based on the SIPP will cover occupational injuries and illnesses to all workers for which Workers' Compensation benefits were received. We will also examine variations in these estimates by region, industry, worker demographics, and health problem category. We will examine strategies for benchmarking estimates from both SIPP and LTD data against other national data sets. Exploratory statistical models will also be developed to explore the interaction of Workers' Compensation program characteristics and SSDI benefit impacts.