Classical test theory and item response theory produced differences on estimation of reliable clinical index in World Health Organization Disability Assessment Schedule 2.0

J Clin Epidemiol. 2018 Nov:103:51-59. doi: 10.1016/j.jclinepi.2018.07.002. Epub 2018 Aug 6.

Abstract

Objective: World Health Organization Disability Assessment Schedule (WHODAS) 2.0 is currently one of the most used instruments in disability assessment. The objective of this study was to analyze the clinically reliable change of WHODAS 2.0 by applying both Classical Test Theory (CTT) and the Item Response Theory (IRT).

Study design and setting: The sample consisted of 179 patients with dual pathology. The standard error of measurement (SEM) was estimated using the CTT and the rating testlet model.

Results: Reliability estimated by Cronbach's alpha provided acceptable values for all domains. The Rasch analysis revealed an adequate capacity to discriminate between people with high and low disability in terms of total scores but not in terms of domains. The SEM varies according to the baseline scores, failing to detect clinically reliable change in patients with lower scores. Kappa coefficients are low for the most of dimensions (except participation) and adequate for total scores.

Conclusion: The use of total WHODAS 2.0 scores may be useful from a clinical perspective; however, more evidence is required for domain scores to support its usefulness. The decision to use the CTT or the IRT impacts in terms of calculating clinically reliable change.

Keywords: Classical test theory; Disability; Item response theory; Patient-reported outcome measures; Reliable clinical change; WHODAS.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Activities of Daily Living*
  • Adult
  • Disability Evaluation*
  • Female
  • Humans
  • International Classification of Functioning, Disability and Health
  • Longitudinal Studies
  • Male
  • Mental Disorders* / diagnosis
  • Mental Disorders* / psychology
  • Mental Disorders* / rehabilitation
  • Mental Health*
  • Quality Improvement
  • Reproducibility of Results
  • Research Design / standards
  • Research Design / statistics & numerical data
  • Treatment Outcome
  • World Health Organization