Scale Refinement and Initial Evaluation of a Behavioral Health Function Measurement Tool for Work Disability Evaluation.
Abstract: Objective: To use item response theory (IRT) data simulations to construct and perform initial psychometric testing of a newly developed instrument, the Social Security Administration Behavioral Health Function (SSA-BH) instrument, that aims to assess behavioral health functioning relevant...
| Publicado en: | Archives of Physical Medicine & Rehabilitation Vol. 94; no. 9; pp. 1679 - 1687 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
W B Saunders
Sep2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104216411&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104216411 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00039993 1XL jtl: Archives of Physical Medicine & Rehabilitation issn: 00039993 maglogo: N pubinfo: dt: Sep2013 vid: 94 iid: 9 pid: 1351 pub: W B Saunders place: Philadelphia, Pennsylvania artinfo: ui: 104216411 89976873 10.1016/j.apmr.2013.03.012 NLM23542404 104216411 ppf: 1679 ppct: 8 formats: tig: atl: Scale Refinement and Initial Evaluation of a Behavioral Health Function Measurement Tool for Work Disability Evaluation. aug: au: Marfeo, Elizabeth E. Ni, Pengsheng Haley, Stephen M. Bogusz, Kara Meterko, Mark McDonough, Christine M. Chan, Leighton Rasch, Elizabeth K. Brandt, Diane E. Jette, Alan M. affil: Health and Disability Research Institute, Boston University School of Public Health, Boston, MA sug: subj: Clinical Assessment Tools Evaluation Instrument Validation Mental Health Evaluation Disability Evaluation Insurance, Disability Computerized Adaptive Testing United States Social Security Administration Behavior Rating Scales Psychometrics Behavior Computer Simulation Outcome Assessment Human Funding Source Clinical Assessment Tools Psychological Tests Validation Studies Matched Case Control ab: Abstract: Objective: To use item response theory (IRT) data simulations to construct and perform initial psychometric testing of a newly developed instrument, the Social Security Administration Behavioral Health Function (SSA-BH) instrument, that aims to assess behavioral health functioning relevant to the context of work. Design: Cross-sectional survey followed by IRT calibration data simulations. Setting: Community. Participants: Sample of individuals applying for Social Security Administration disability benefits: claimants (n=1015) and a normative comparative sample of U.S. adults (n=1000). Interventions: None. Main Outcome Measure: SSA-BH measurement instrument. Results: IRT analyses supported the unidimensionality of 4 SSA-BH scales: mood and emotions (35 items), self-efficacy (23 items), social interactions (6 items), and behavioral control (15 items). All SSA-BH scales demonstrated strong psychometric properties including reliability, accuracy, and breadth of coverage. High correlations of the simulated 5- or 10-item computer adaptive tests with the full item bank indicated robust ability of the computer adaptive testing approach to comprehensively characterize behavioral health function along 4 distinct dimensions. Conclusions: Initial testing and evaluation of the SSA-BH instrument demonstrated good accuracy, reliability, and content coverage along all 4 scales. Behavioral function profiles of Social Security Administration claimants were generated and compared with age- and sex-matched norms along 4 scales: mood and emotions, behavioral control, social interactions, and self-efficacy. Using the computer adaptive test-based approach offers the ability to collect standardized, comprehensive functional information about claimants in an efficient way, which may prove useful in the context of the Social Security Administration's work disability programs. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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