Estimating differentials in return to work after injury from two surveys

根据两项调查估算受伤后重返工作岗位的差异

• 批准号: 7362672
• 负责人: MICHAEL S. RENDALL
• 金额: $ 28.29万
• 依托单位: RAND CORPORATION
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7362672
• 关键词: Estimating; differentials; return; work; after; Estimating; differentials; return; work; after

DESCRIPTION (provided by applicant): Evaluating the full economic costs to workers of recovery from workplace injury and illness is crucial for the effective formulation and targeting of policy and programs for reducing workplace accidents and exposure to workplace hazards, for successfully bringing back injured workers into the workplace and the workforce, and for evaluating the adequacy and equity of workers' compensation. Administrative data, such as those found in workers' compensation claim databases, are frequently used to study the consequences and contexts of workplace injuries. Compared with administrative data, multi-purpose, nationally representative household survey data offer a far broader coverage of workplace injuries, and a broader range of information on their context and consequences. Longitudinal surveys are especially useful for investigating the roles of factors that influence a process such as recovery from a workplace injury or illness that occurs over a potentially extended time period. In particular, longitudinal survey data are more likely to accurately capture circumstances where return to work does not coincide with the end of disability benefits, or where an injury leads to multiple spells of time out of work. Any single longitudinal survey, however, has disadvantages that may include small samples of injured workers, limited frequency or duration of observation, a limited range of ages in the survey, and respondent attrition and error in their self-reports. The present study addresses these limitations by comparative evaluation of injuries and their consequences between surveys, and by developing and testing methods for pooling observations of injured workers across surveys. The study applies hazard modeling and multiple imputation methods to the combining of data from two nationally representative panel surveys, each including self-reports of work injury and resulting health condition and work limitation. Differentials in duration and sustainability of return to work are analyzed by occupation, industry, health condition, and the socio- economic characteristics of injured workers. The two panel studies' designs are overlapping but non-identical with respect to their population coverage, duration of observation, and mode of data capture (panel and retrospective observation). Using the two surveys together is expected to increase the power of the statistical inference about the differentials in return to work on key variables including type of injury of illness; and to strengthen our understanding of the return-to-work process by including the widest possible range of potentially important variables in the analysis of returning to work after a workplace injury. Differentials in duration and sustainability of return to work are analyzed by occupation, industry, health condition, and the socio-economic characteristics of injured workers. Hazard modeling and multiple imputation methods are applied to the combining of data from two nationally representative panel surveys, each including self-reports of work injury and resulting health condition and work limitation. Using the two surveys together is expected to increase the power of the statistical inference and to strengthen our understanding of the return-to- work process by including a broad range of variables and worker ages in the analysis.

描述（由申请人提供）：评估从工作场所伤害和疾病中恢复的工人的全部经济成本对于有效制定和针对减少工作场所事故的政策和计划至关重要，以成功地将受伤的工人带回工作场所和劳动力，以及对工人的赔偿和赔偿的福祉。行政数据，例如在工人赔偿索赔数据库中发现的数据，经常用于研究工作场所伤害的后果和环境。与行政数据相比，多用途，全国代表性的家庭调查数据提供了更广泛的工作场所伤害的覆盖范围，以及有关其背景和后果的广泛信息。纵向调查对于调查影响诸如从工作场所受伤或可能延长的时间内发生的疾病等过程的因素的作用特别有用。特别是，纵向调查数据更有可能准确地捕获重返工作岗位与残疾福利的终结或伤害导致多种时间段落的情况。然而，任何单一的纵向调查都有缺点，其中可能包括受伤工人的小样本，有限的观察频率或持续时间，调查中的年龄范围有限，以及受访者的自我报告中的受访者的流失和错误。本研究通过对伤害的比较评估及其在调查之间的后果以及开发和测试方法来汇总调查中受伤工人的观察结果来解决这些局限性。该研究将危险建模和多种归档方法应用于两项国家代表性小组调查的数据，每项调查包括工作伤害的自我报告以及导致的健康状况和工作限制。通过职业，工业，健康状况以及受伤工人的社会经济特征来分析持续时间和可持续性的差异和可持续性。这两个小组研究的设计是重叠的，但就其人口覆盖率，观察持续时间和数据捕获方式（面板和回顾性观察）而言是不相同的。预计将两项调查一起使用，将增加对差分的统计推断的能力，以换取关键变量，包括疾病的损伤类型；并通过在工作场所受伤后重返工作岗位的分析中包括最广泛的潜在重要变量范围来加强我们对返回过程的理解。通过职业，工业，健康状况以及受伤工人的社会经济特征来分析持续时间和可持续性的差异和可持续性的差异。危害建模和多种归纳方法应用于两个国家代表性小组调查的数据组合，每种调查包括工人伤害的自我报告以及导致的健康状况和工作限制。预计将两项调查一起使用将增加统计推断的能力，并通过在分析中包括各种变量和工人年龄来加强我们对重返工作过程的理解。