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Related Experiment Videos

The five item Barthel index.

J C Hobart1, A J Thompson

  • 1Department of Clinical Neurology and Neurorehabilitation, Neurological Outcome Measures Unit, Institute of Neurology, Queen Square, London WC1N 3BG, UK. J.Hobart@ion.ucl.ac.uk

Journal of Neurology, Neurosurgery, and Psychiatry
|July 19, 2001
PubMed
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A new five-item Barthel Index (BI) offers a shorter, psychometrically equivalent alternative to the 10-item version for clinical trials and audits. This validated short form maintains rigorous measurement properties for efficient data collection.

Area of Science:

  • Rehabilitation Medicine
  • Clinical Measurement
  • Psychometrics

Background:

  • Routine data collection in healthcare necessitates efficient clinical scales.
  • Existing multi-item scales require optimization for rigorous measurement with minimal items.
  • The Barthel Index (BI) is a widely used measure in neurological rehabilitation.

Purpose of the Study:

  • To develop and validate a short form of the Barthel Index (BI).
  • The short form aims to be psychometrically equivalent to the 10-item BI.
  • The goal is suitability for clinical trials, epidemiological studies, and audits.

Main Methods:

  • Analysis of data from 844 neurological rehabilitation admissions.
  • Development of short forms using item-total correlations and effect sizes in a training sample (n=419).

Related Experiment Videos

  • Validation of three short forms (5, 4, and 3 items) in a testing sample (n=418), comparing them to the 10-item BI using ICC and Bland-Altman methods.

    • Main Results:

    • The five best items identified were transfers, bathing, toilet use, stairs, and mobility.
    • The five-item BI demonstrated the best measurement properties and was psychometrically equivalent to the 10-item BI.
    • Excellent agreement (ICC=0.90) was found between the five-item BI and the 10-item BI scores.

    Conclusions:

    • The five-item Barthel Index (BI) is a potentially suitable outcome measure for group comparison studies.
    • Further evaluations are recommended for broader applicability.
    • The study highlights the importance of psychometric methods in developing and evaluating health measures.