Literature DB >> 12048662

The use of Rasch measurement to improve the Oswestry classification scheme.

Louise J White1, Craig A Velozo.   

Abstract

OBJECTIVES: To use Rasch measurement to assess and modify the original classification categories of the Oswestry Low Back Pain Disability Questionnaire (Oswestry), to examine the hypothesis that the items from the Oswestry form a unidimensional construct and a hierarchical representation of low back pain (LBP) disability, and to compare ordinal Likert resultant scores to interval Rasch scaled scores with disability categories serving as a framework.
DESIGN: Rasch analysis model. Existing Oswestry admission data generated by FOTO were analyzed.
SETTING: Statistical analysis of sample database. PARTICIPANTS: A sample of 942 patients with LBP referred for physical therapy between 1993 and 1994.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Construct validity; disability categories (as assessed by Likert and Rasch models); and fit statistics (infit, outfit as mean squares).
RESULTS: All items from the Oswestry except the pain item fit the Rasch model. Construct validity of the scale using the Rasch model required the structure of the rating scale to be modified from 6 response levels to 4. A hierarchical representation of LBP disability was supported. A comparison of the disability categories based on Likert and Rasch scaling revealed them to be nonequivalent. The new scaling changed the disability categories for 44% of patients.
CONCLUSION: Rasch analysis produced disability categories in the Oswestry that are linear and, therefore, useful for quantitatively assessing self-reported disability levels. Copyright 2002 by the American Congress of Rehabilitation Medicine and the American Academy of Physical Medicine and Rehabilitation

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Mesh:

Year:  2002        PMID: 12048662     DOI: 10.1053/apmr.2002.32685

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  5 in total

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Journal:  Disabil Rehabil       Date:  2017-11-09       Impact factor: 3.033

4.  Understanding how individualised physiotherapy or advice altered different elements of disability for people with low back pain using network analysis.

Authors:  Bernard X W Liew; Jon J Ford; Giovanni Briganti; Andrew J Hahne
Journal:  PLoS One       Date:  2022-02-10       Impact factor: 3.240

5.  Measurement precision of the disability for back pain scale-by applying Rasch analysis.

Authors:  Yen-Mou Lu; Yuh-Yih Wu; Ching-Lin Hsieh; Chih-Lung Lin; Shiuh-Lin Hwang; Kuang-I Cheng; Yi-Jing Lue
Journal:  Health Qual Life Outcomes       Date:  2013-07-16       Impact factor: 3.186

  5 in total

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