Literature DB >> 23548542

Development of an instrument to measure behavioral health function for work disability: item pool construction and factor analysis.

Elizabeth E Marfeo1, Pengsheng Ni, Stephen M Haley, Alan M Jette, Kara Bogusz, Mark Meterko, Christine M McDonough, Leighton Chan, Diane E Brandt, Elizabeth K Rasch.   

Abstract

OBJECTIVES: To develop a broad set of claimant-reported items to assess behavioral health functioning relevant to the Social Security disability determination processes, and to evaluate the underlying structure of behavioral health functioning for use in development of a new functional assessment instrument.
DESIGN: Cross-sectional.
SETTING: Community. PARTICIPANTS: Item pools of behavioral health functioning were developed, refined, and field tested in a sample of persons applying for Social Security disability benefits (N=1015) who reported difficulties working because of mental or both mental and physical conditions.
INTERVENTIONS: None. MAIN OUTCOME MEASURE: Social Security Administration Behavioral Health (SSA-BH) measurement instrument.
RESULTS: Confirmatory factor analysis (CFA) specified that a 4-factor model (self-efficacy, mood and emotions, behavioral control, social interactions) had the optimal fit with the data and was also consistent with our hypothesized conceptual framework for characterizing behavioral health functioning. When the items within each of the 4 scales were tested in CFA, the fit statistics indicated adequate support for characterizing behavioral health as a unidimensional construct along these 4 distinct scales of function.
CONCLUSIONS: This work represents a significant advance both conceptually and psychometrically in assessment methodologies for work-related behavioral health. The measurement of behavioral health functioning relevant to the context of work requires the assessment of multiple dimensions of behavioral health functioning. Specifically, we identified a 4-factor model solution that represented key domains of work-related behavioral health functioning. These results guided the development and scale formation of a new SSA-BH instrument.
Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CAT; CFA; CFI; Disability evaluation; EFA; IRT; Mental health; Neuro-QOL; Outcome assessment (health care); PROMIS; Patient-Reported Outcomes Measurement Instrument System; Psychometrics; Quality of Life Outcomes in Neurological Disorders; RMSEA; Rehabilitation; SSA; SSA-BH; SSDI; Social Security Administration; Social Security Administration Behavioral Health measurement instrument; Social Security Disability Insurance; 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: 23548542      PMCID: PMC4010089          DOI: 10.1016/j.apmr.2013.03.013

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


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