Psychometric properties of the WHODAS 2.0 in patients with orthopedic injuries from road traffic crashes in Bangladesh

Authors

Mohammad K. Khalaf, Department of Global Health, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia, USA.
Heather E. Rosen, Department of Global Health, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia, USA.
Nino Paichadze, Department of Global Health, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia, USA.
Samid Siddiqi, Centre for Injury Prevention and Research - Bangladesh, Dhaka, Bangladesh.
Kazuyuki Neki, Global Road Safety Facility, World Bank, Washington, District of Columbia, USA.
Jennifer Seager, Department of Global Health, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia, USA.
Sudeshna Mitra, Global Road Safety Facility, World Bank, Washington, District of Columbia, USA.
Yan Wang, Department of Global Health, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia, USA.
A K. Rahman, Centre for Injury Prevention and Research - Bangladesh, Dhaka, Bangladesh.
Adnan A. Hyder, Department of Global Health, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia, USA.

Document Type

Journal Article

Publication Date

11-18-2024

Journal

Disability and rehabilitation

DOI

10.1080/09638288.2024.2425755

Keywords

Bangladesh; Road traffic injuries; WHODAS 2.0; disability assessment; measurement invariance; orthopedic injuries; psychometric properties

Abstract

PURPOSE: Road traffic injuries (RTIs) are a leading cause of disability in low- and middle-income countries. This study assesses the psychometric properties of 12-item World Health Organization Disability Assessment Schedule (WHODAS) 2.0 among patients with orthopedic injuries from road traffic crashes in Bangladesh across two timepoints after hospital discharge. MATERIALS AND METHODS: Confirmatory factor analysis (CFA) assessed WHODAS 2.0 construct validity and investigated measurement invariance among a sample of RTI patients at an orthopedic hospital one month and three months post-discharge. Cronbach's alpha measured reliability. RESULTS: A single-factor structure was identified in CFA for the one-month sample (χ2(53)=894.337, p < 0.001; CFI = 0.989, TLI = 0.986; SRMR = 0.052, RMSEA = 0.151) and the three-month sample (χ2(53)=630.119, p < 0.001; CFI = 1.000, TLI = 1.000; SRMR = 0.022, RMSEA = 0.130). Measurement invariance was supported, and internal consistency was excellent (α > 0.9) at each timepoint. Mean disability score decreased from 37.89 (out of 48, SD = 10.44) one-month post-discharge to 27.19 (SD = 18.10, p < 0.001) three months post-discharge indicating improvement in functional status over time. CONCLUSIONS: WHODAS 2.0 is valid and reliable for measuring disability among patients with RTIs in Bangladesh and has validity for making meaningful comparisons in disability level over time. Future research should include samples with different types of RTIs to strengthen the evidence supporting the use of the instrument.

APA Citation

Khalaf, Mohammad K.; Rosen, Heather E.; Paichadze, Nino; Siddiqi, Samid; Neki, Kazuyuki; Seager, Jennifer; Mitra, Sudeshna; Wang, Yan; Rahman, A K.; and Hyder, Adnan A., "Psychometric properties of the WHODAS 2.0 in patients with orthopedic injuries from road traffic crashes in Bangladesh" (2024). GW Authored Works. Paper 5996.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/5996

Department

Global Health