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. 2016 Oct 18;14(1):147.
doi: 10.1186/s12955-016-0552-1.

Patient self-report section of the ASES questionnaire: a Spanish validation study using classical test theory and the Rasch model

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Patient self-report section of the ASES questionnaire: a Spanish validation study using classical test theory and the Rasch model

Kalliopi Vrotsou et al. Health Qual Life Outcomes. .

Abstract

Background: The aim of the current study was to validate the self-report section of the American Shoulder and Elbow Surgeons questionnaire (ASES-p) into Spanish.

Methods: Shoulder pathology patients were recruited and followed up to 6 months post treatment. The ASES-p, Constant, SF-36 and Barthel scales were filled-in pre and post treatment. Reliability was tested with Cronbach's alpha, convergent validity with Spearman's correlations coefficients. Confirmatory factor analysis (CFA) and the Rasch model were implemented for assessing structural validity and unidimensionality of the scale. Models with and without the pain item were considered. Responsiveness to change was explored via standardised effect sizes.

Results: Results were acceptable for both tested models. Cronbach's alpha was 0.91, total scale correlations with Constant and physical SF-36 dimensions were >0.50. Factor loadings for CFA were >0.40. The Rasch model confirmed unidimensionality of the scale, even though item 10 "do usual sport" was suggested as non-informative. Finally, patients with improved post treatment shoulder function and those receiving surgery had higher standardised effect sizes.

Conclusions: The adapted Spanish ASES-p version is a valid and reliable tool for shoulder evaluation and its unidimensionality is supported by the data.

Keywords: ASES-p; Confirmatory factor analysis; Constant Murley Score; Rasch model; Responsiveness; SF-36; Shoulder; Spanish validation; Validity.

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Figures

Fig. 1
Fig. 1
Flowchart of baseline and follow-up ASES-p received replies
Fig. 2
Fig. 2
Standardized response means of the ASES-p total, function and pain scores, according received treatment. SRM: standardized response mean. Values below each treatment group (n = …) indicate number of valid replies for total scale, function and pain subscale scores respectively

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