Mark Meterko1, Molly Marino2, Pengsheng Ni2, Elizabeth Marfeo3, Christine M McDonough2, Alan Jette2, Kara Peterik2, Elizabeth Rasch4, Diane E Brandt4, Leighton Chan4. 1. VHA Office of Reporting, Analytics, Performance, Improvement and Deployment (RAPID), Washington, DC; Boston University School of Public Health, Department of Health Law Policy and Management, Boston, MA. Electronic address: Mark.meterko@va.gov. 2. Boston University School of Public Health, Department of Health Law Policy and Management, Boston, MA. 3. Tufts University, Medford, MA. 4. National Institutes of Health Rehabilitation Medicine Department, Bethesda, MD.
Abstract
OBJECTIVE: To assess psychometric properties of the improved Work Disability Functional Assessment Battery (WD-FAB 2.0). DESIGN: Longitudinal study. SETTING: Community. PARTICIPANTS: Three samples of working-age (21-66) adults (N=1006): (1) unable to work because of a physical condition (n=375); (2) unable to work because of a mental health condition (n=296); (3) general United States working age sample (n=335). INTERVENTION: NA. MAIN OUTCOME MEASURES: All samples completed the WD-FAB 2.0; the second administration came 5 days after the first. Construct validity was examined by convergent and divergent correlational analysis using legacy measures. Test-retest reliability was assessed by intraclass correlation coefficients (ICC3,1). Standard error of the mean (SEM) and minimal detectable change (MDC90) were calculated to measure scale precision and sensitivity. RESULTS: Physical function ICCs ranged from 0.69 to 0.77 in the general sample, and 0.66 to 0.86 in the disability sample. Mental health function scales ICCs ranged from 0.62 to 0.73 in the general sample, and 0.74 to 0.76 in the disability sample. SEMs for all scales indicated good discrimination; those for the physical function scales were generally lower than those for the mental health scales. MDC90 values ranged from 3.41 to 10.55. Correlations between all WD-FAB 2.0 scales and legacy measures were in the expected direction. CONCLUSIONS: The study provides substantial support for the reliability and construct validity of the WD-FAB 2.0 among 3 diverse samples. Although initially developed for use within the Social Security Administration (SSA), these results suggest that the WD-FAB 2.0 could be used for assessment and measurement of work-related physical and mental health function in other contexts as well.
OBJECTIVE: To assess psychometric properties of the improved Work Disability Functional Assessment Battery (WD-FAB 2.0). DESIGN: Longitudinal study. SETTING: Community. PARTICIPANTS: Three samples of working-age (21-66) adults (N=1006): (1) unable to work because of a physical condition (n=375); (2) unable to work because of a mental health condition (n=296); (3) general United States working age sample (n=335). INTERVENTION: NA. MAIN OUTCOME MEASURES: All samples completed the WD-FAB 2.0; the second administration came 5 days after the first. Construct validity was examined by convergent and divergent correlational analysis using legacy measures. Test-retest reliability was assessed by intraclass correlation coefficients (ICC3,1). Standard error of the mean (SEM) and minimal detectable change (MDC90) were calculated to measure scale precision and sensitivity. RESULTS: Physical function ICCs ranged from 0.69 to 0.77 in the general sample, and 0.66 to 0.86 in the disability sample. Mental health function scales ICCs ranged from 0.62 to 0.73 in the general sample, and 0.74 to 0.76 in the disability sample. SEMs for all scales indicated good discrimination; those for the physical function scales were generally lower than those for the mental health scales. MDC90 values ranged from 3.41 to 10.55. Correlations between all WD-FAB 2.0 scales and legacy measures were in the expected direction. CONCLUSIONS: The study provides substantial support for the reliability and construct validity of the WD-FAB 2.0 among 3 diverse samples. Although initially developed for use within the Social Security Administration (SSA), these results suggest that the WD-FAB 2.0 could be used for assessment and measurement of work-related physical and mental health function in other contexts as well.
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 Journal: Disabil Health J Date: 2015-04-15 Impact factor: 2.554
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 Journal: Qual Life Res Date: 2016-12-22 Impact factor: 4.147
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 Journal: Arch Phys Med Rehabil Date: 2013-03-30 Impact factor: 3.966
Authors: Elizabeth E Marfeo; Pengsheng Ni; Stephen M Haley; Alan M Jette; Kara Bogusz; Mark Meterko; Christine M McDonough; Leighton Chan; Diane E Brandt; Elizabeth K Rasch Journal: Arch Phys Med Rehabil Date: 2013-03-30 Impact factor: 3.966
Authors: Christine M McDonough; Alan M Jette; Pengsheng Ni; Kara Bogusz; Elizabeth E Marfeo; Diane E Brandt; Leighton Chan; Mark Meterko; Stephen M Haley; Elizabeth K Rasch Journal: Arch Phys Med Rehabil Date: 2013-03-29 Impact factor: 3.966
Authors: Stephen M Haley; Pengsheng Ni; Alan M Jette; Wei Tao; Richard Moed; Doug Meyers; Larry H Ludlow Journal: Qual Life Res Date: 2009-03-14 Impact factor: 4.147
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 Journal: Arch Phys Med Rehabil Date: 2013-04-08 Impact factor: 3.966
Authors: Regina Kunz; David Y von Allmen; Renato Marelli; Ulrike Hoffmann-Richter; Joerg Jeger; Ralph Mager; Etienne Colomb; Heinz J Schaad; Monica Bachmann; Nicole Vogel; Jason W Busse; Martin Eichhorn; Oskar Bänziger; Thomas Zumbrunn; Wout E L de Boer; Katrin Fischer Journal: BMC Psychiatry Date: 2019-07-03 Impact factor: 3.630