Rasch analysis of the Oxford shoulder score in a non-surgical occupational population.

BACKGROUND: The Oxford shoulder score (OSS) questionnaire for measuring patient perception of shoulder disability, has not tested specifically in a non-surgical population and no study has assessed the OSS with modern psychometrics based on Rasch model (RM). OBJECTIVE: To assess the psychometric pro...

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Publicado en:Work Vol. 72; no. 4; pp. 1239 - 1249
Autores principales: Henrotin, Jean-Bernard, Petit-Gelin, Véronique
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. 2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2022
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      pub: Sage Publications Inc.
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        atl: Rasch analysis of the Oxford shoulder score in a non-surgical occupational population.
      aug:
        au:
          Henrotin, Jean-Bernard
          Petit-Gelin, Véronique
        affil: Occupational Health Department, Hospital Center, Chalon sur Saône, France
      sug:
        subj:
          Questionnaires Utilization
          Shoulder Physiopathology
          Disability Evaluation
          Psychometrics Evaluation
          Rasch Analysis
          Human
          Retrospective Design
          Medical Records
          Reliability
          Coefficient alpha
          Questionnaires
          Sociodemographic Factors
          Self Assessment
          Summated Rating Scaling
          Data Analysis Software
          Logistic Regression
          Chi Square Test
          Post Hoc Analysis
          Comparative Studies
          Internal Consistency
      ab: BACKGROUND: The Oxford shoulder score (OSS) questionnaire for measuring patient perception of shoulder disability, has not tested specifically in a non-surgical population and no study has assessed the OSS with modern psychometrics based on Rasch model (RM). OBJECTIVE: To assess the psychometric properties of the OSS using RM among health-care workers with shoulder disorders and to verify its interest in a non-surgical population. METHODS: In an occupational health department of a French hospital center, a retrospective review was performed of the medical records from June 2019 to October 2020. Responses to 110 questionnaires were examined from 55 subjects (97% of women). A polytomous Rasch model based on the Partial Credit Model was used. RESULTS: Overall fit was satisfactory, the reliability coefficient was high and an ascending order was observed with the 5 categories of the scale. Analysis of the residuals supports unidimensionality and the local independence assumption. Item performance remained stable across the subgroup examined (DIF measures). Scale to-sample targeting indicated a substantial floor effect, and the mildest impairments were not well discriminated. CONCLUSIONS: OSS presents good psychometric qualities. However, it does not clearly discriminate subjects presenting the lowest levels of impairment. Its use in a non-surgical population is questionable.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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