SSDI Benefit Impacts Of Occupational Injuries/Illnesses

职业伤害/疾病对 SSDI 福利的影响

• 批准号: 6314798
• 负责人: David Salkever
• 金额: $ 12.29万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-30 至 2002-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6314798
• 关键词: disability insurance; health care policy; health insurance; health science research analysis /evaluation; health services research tag; human data; longitudinal human study; occupational disease /disorder

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.

该项目将探索几个大数据库的使用 制定国家对职业伤害影响的估计和 关于社会保障残疾保险（SSDI）福利支付的疾病。这 SSDI计划的成本在过去十年中迅速增加，这是 这些收益的很大一部分可能归因于职业 伤害和疾病。需要从工资单中资助这些SSDI福利 税收是全国稳定社会保障努力的主要关注点。 控制职业所产生的SSDI福利节省的估计值 伤害和疾病对于联邦卫生政策和优先事项至关重要 环境。 SSDI收益影响的测量需要对个人工人的数据 涵盖了足够长的时间来捕捉他们从发作的进展 获得SSDI福利的职业伤害或疾病。二 通过充分捕获大量工人的数据的数据源 长时间是1）私人长期残疾（LTD）索赔数据和2） 大规模面板调查，例如收入和计划调查 参与（SIPP）。在这个项目中，我们将开发和测试 产生国家SSDI的利益对职业伤害和疾病的影响 从两种类型的数据中。 Ltd索赔数据代表索赔经验 一家大型保单保险公司，约有50万名工人 1992 - 1997年期间，超过1,400名雇主。 SIPP数据将进行分析 从1996年的SIPP（四年小组调查）和1992年和1993年的数据 SIPP调查（包括对调查的受访者的扩展随访 程序动力学）。 Ltd索赔数据将用于制定国家估计 美国所有美国职业伤害和疾病的福利影响 由私人有限公司保险覆盖的工人。我们还将研究 通过诊断类别的伤害或疾病，按地区以及 行业。基于SIPP的SSDI福利影响估计值将涵盖 所有工人的职业伤害和疾病 收到了赔偿福利。我们还将研究这些变化 按地区，工业，工人人口统计和健康问题估计 类别。我们将研究对两个SIPP的基准测试估算的策略 和LTD数据与其他国家数据集有关。探索性统计模型 还将开发以探索工人赔偿的相互作用 程序特征和SSDI益处的影响。