Health and Disability Research Institute, Department of Health Policy and Management, School of Public Health, Boston University Medical Campus, Boston, MA, USA.
Arch Phys Med Rehabil. 2013 Sep;94(9):1653-60. doi: 10.1016/j.apmr.2013.03.011. Epub 2013 Mar 29.
To build a comprehensive item pool representing work-relevant physical functioning and to test the factor structure of the item pool. These developmental steps represent initial outcomes of a broader project to develop instruments for the assessment of function within the context of Social Security Administration (SSA) disability programs.
Comprehensive literature review; gap analysis; item generation with expert panel input; stakeholder interviews; cognitive interviews; cross-sectional survey administration; and exploratory and confirmatory factor analyses to assess item pool structure.
In-person and semistructured interviews and Internet and telephone surveys.
Sample of SSA claimants (n=1017) and a normative sample of adults from the U.S. general population (n=999).
Not applicable.
Model fit statistics.
The final item pool consisted of 139 items. Within the claimant sample, 58.7% were white; 31.8% were black; 46.6% were women; and the mean age was 49.7 years. Initial factor analyses revealed a 4-factor solution, which included more items and allowed separate characterization of: (1) changing and maintaining body position, (2) whole body mobility, (3) upper body function, and (4) upper extremity fine motor. The final 4-factor model included 91 items. Confirmatory factor analyses for the 4-factor models for the claimant and the normative samples demonstrated very good fit. Fit statistics for claimant and normative samples, respectively, were: Comparative Fit Index=.93 and .98; Tucker-Lewis Index=.92 and .98; and root mean square error approximation=.05 and .04.
The factor structure of the physical function item pool closely resembled the hypothesized content model. The 4 scales relevant to work activities offer promise for providing reliable information about claimant physical functioning relevant to work disability.
构建一个全面的项目库，代表与工作相关的身体功能，并测试项目库的因素结构。这些发展步骤是一个更广泛项目的初步成果，该项目旨在为社会保障管理局 (SSA) 残疾计划中的功能评估开发工具。
全面文献回顾；差距分析；有专家小组参与的项目生成；利益相关者访谈；认知访谈；横断面调查管理；以及探索性和验证性因素分析，以评估项目库结构。
面对面和半结构化访谈以及互联网和电话调查。
SSA 索赔人样本（n=1017）和美国普通人群的规范样本成人（n=999）。
不适用。
模型拟合统计数据。
最终的项目库由 139 个项目组成。在索赔人样本中，58.7%是白人；31.8%是黑人；46.6%是女性；平均年龄为 49.7 岁。初步的因素分析显示出 4 因素解决方案，其中包括更多的项目，并允许分别描述：（1）改变和保持身体姿势，（2）全身移动，（3）上半身功能，和（4）上肢精细运动。最终的 4 因素模型包括 91 个项目。对索赔人和规范样本的 4 因素模型的验证性因素分析显示出非常好的拟合度。索赔人和规范样本的拟合度统计数据分别为：比较拟合指数=0.93 和 0.98；塔克-刘易斯指数=0.92 和 0.98；以及均方根误差逼近=0.05 和 0.04。
物理功能项目库的因素结构与假设的内容模型非常相似。与工作活动相关的 4 个量表有望提供有关与工作残疾相关的索赔人身体功能的可靠信息。
