Department of Occupational Therapy, Tufts University, 574 Boston Ave. Suite 216G, Medford, MA, 02155, USA.
Health & Disability Research Institute, Boston University School of Public Health, 715 Albany St. T5W, Boston, MA, 02118, USA.
J Occup Rehabil. 2018 Mar;28(1):190-199. doi: 10.1007/s10926-017-9710-5.
Purpose To improve the mental health component of the Work Disability Functional Assessment Battery (WD-FAB), developed for the US Social Security Administration's (SSA) disability determination process. Specifically our goal was to expand the WD-FAB scales of mood & emotions, resilience, social interactions, and behavioral control to improve the depth and breadth of the current scales and expand the content coverage to include aspects of cognition & communication function. Methods Data were collected from a random, stratified sample of 1695 claimants applying for the SSA work disability benefits, and a general population sample of 2025 working age adults. 169 new items were developed to replenish the WD-FAB scales and analyzed using factor analysis and item response theory (IRT) analysis to construct unidimensional scales. We conducted computer adaptive test (CAT) simulations to examine the psychometric properties of the WD-FAB. Results Analyses supported the inclusion of four mental health subdomains: Cognition & Communication (68 items), Self-Regulation (34 items), Resilience & Sociability (29 items) and Mood & Emotions (34 items). All scales yielded acceptable psychometric properties. Conclusions IRT methods were effective in expanding the WD-FAB to assess mental health function. The WD-FAB has the potential to enhance work disability assessment both within the context of the SSA disability programs as well as other clinical and vocational rehabilitation settings.
改进为美国社会保障管理局(SSA)残疾鉴定程序开发的工作残疾功能评估电池(WD-FAB)中的心理健康部分。具体而言,我们的目标是扩展 WD-FAB 的情绪和情感、韧性、社会互动和行为控制量表,以提高当前量表的深度和广度,并扩大内容涵盖范围,纳入认知和沟通功能的各个方面。
数据来自于随机分层的 1695 名申请 SSA 工作残疾福利的申请人和 2025 名处于工作年龄的普通人群样本。开发了 169 个新的项目来补充 WD-FAB 量表,并使用因素分析和项目反应理论(IRT)分析进行分析,以构建单一维度量表。我们进行了计算机自适应测试(CAT)模拟,以检查 WD-FAB 的心理测量特性。
分析支持纳入四个心理健康子领域:认知和沟通(68 项)、自我调节(34 项)、韧性和社交性(29 项)和情绪和情感(34 项)。所有量表都具有可接受的心理测量特性。
IRT 方法在扩展 WD-FAB 以评估心理健康功能方面非常有效。WD-FAB 有可能增强 SSA 残疾计划以及其他临床和职业康复环境中的工作残疾评估。