Literature DB >> 23542402

Development of a self-report physical function instrument for disability assessment: item pool construction and factor analysis.

Christine M McDonough1, Alan M Jette, Pengsheng Ni, Kara Bogusz, Elizabeth E Marfeo, Diane E Brandt, Leighton Chan, Mark Meterko, Stephen M Haley, Elizabeth K Rasch.   

Abstract

OBJECTIVES: 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.
DESIGN: 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.
SETTING: In-person and semistructured interviews and Internet and telephone surveys. PARTICIPANTS: Sample of SSA claimants (n=1017) and a normative sample of adults from the U.S. general population (n=999).
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Model fit statistics.
RESULTS: 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.
CONCLUSIONS: 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.
Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CAT; CFA; CFI; Disability evaluation; Disabled persons; EFA; Factor analysis, statistical; ICF; IRT; Insurance; International Classification of Functioning, Disability and Health; PROMIS; Patient-Reported Outcomes Measurement Information System; Questionnaires; RMSEA; Rehabilitation; SCI-FI; SSA; Social Security Administration; Spinal Cord Injury-Functional Index; TLI; Tucker-Lewis Index; comparative fit index; computer-adaptive testing; confirmatory factor analysis; exploratory factor analysis; item response theory; root mean square error of approximation

Mesh:

Year:  2013        PMID: 23542402      PMCID: PMC4046327          DOI: 10.1016/j.apmr.2013.03.011

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  17 in total

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9.  Development of a computer-adaptive physical function instrument for Social Security Administration disability determination.

Authors:  Pengsheng Ni; Christine M McDonough; Alan M Jette; Kara Bogusz; Elizabeth E Marfeo; Elizabeth K Rasch; Diane E Brandt; Mark Meterko; Stephen M Haley; Leighton Chan
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1.  Interpreting physical and behavioral health scores from new work disability instruments.

Authors:  Elizabeth E Marfeo; Pengsheng Ni; Leighton Chan; Elizabeth K Rasch; Christine M McDonough; Diane E Brandt; Kara Bogusz; Alan M Jette
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2.  Work-related measures of physical and behavioral health function: Test-retest reliability.

Authors:  Molly Elizabeth Marino; Mark Meterko; Elizabeth E Marfeo; Christine M McDonough; Alan M Jette; Pengsheng Ni; Kara Bogusz; Elizabeth K Rasch; Diane E Brandt; Leighton Chan
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3.  Improving measures of work-related physical functioning.

Authors:  Christine M McDonough; Pengsheng Ni; Kara Peterik; Elizabeth E Marfeo; Molly E Marino; Mark Meterko; Elizabeth K Rasch; Diane E Brandt; Alan M Jette; Leighton Chan
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4.  Conceptual foundation for measures of physical function and behavioral health function for Social Security work disability evaluation.

Authors:  Elizabeth E Marfeo; Stephen M Haley; Alan M Jette; Susan V Eisen; Pengsheng Ni; Kara Bogusz; Mark Meterko; Christine M McDonough; Leighton Chan; Diane E Brandt; Elizabeth K Rasch
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5.  Work disability functional assessment battery: feasibility and psychometric properties.

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Journal:  Arch Phys Med Rehabil       Date:  2014-12-18       Impact factor: 3.966

6.  Development of a computer-adaptive physical function instrument for Social Security Administration disability determination.

Authors:  Pengsheng Ni; Christine M McDonough; Alan M Jette; Kara Bogusz; Elizabeth E Marfeo; Elizabeth K Rasch; Diane E Brandt; Mark Meterko; Stephen M Haley; Leighton Chan
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7.  Psychometric Evaluation of the Improved Work-Disability Functional Assessment Battery.

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Journal:  Arch Phys Med Rehabil       Date:  2018-12-19       Impact factor: 3.966

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