Literature DB >> 22926088

The Spanish version of the Edmonton Symptom Assessment System-revised (ESAS-r): first psychometric analysis involving patients with advanced cancer.

Ana Carvajal1, Nezka Hribernik, Eva Duarte, Alvaro Sanz-Rubiales, Carlos Centeno.   

Abstract

CONTEXT: The Edmonton Symptom Assessment System (ESAS) is a measure widely used in palliative care for the assessment of symptoms in patients with advanced cancer. The tool has been validated in different languages, including Spanish. A revised version (ESAS-r) was developed by Watanabe et al. in 2010.
OBJECTIVES: To develop the Spanish version of the ESAS-r and examine its psychometric properties.
METHODS: Based on the original English version, a group of experts created a Spanish version of the ESAS-r and administered it to a group of advanced cancer patients. Patients completed the ESAS and ESAS-r and were asked for their perceptions of the tool. The psychometric properties of the ESAS-r that were analyzed were equivalence, internal consistency, and discriminant validity.
RESULTS: Sixty-six patients from Spain and Guatemala participated in the survey. Patients perceived the ESAS-r to be significantly easier to understand and easier to complete than the ESAS. Significantly, patients preferred the ESAS-r (47%) to the ESAS (15%; P<0.0007). As to reliability, we found good internal consistency (Cronbach's alpha 0.86), and the equivalence of the two versions was between 0.71 and 0.94. The ESAS-r discriminates between inpatients and outpatients (Mann-Whitney U test; P=0.02) and among those with different palliative performance status (Spearman's rho for pain, tiredness, drowsiness, lack of appetite, well-being; P<0.01).
CONCLUSION: The ESAS-r is a valid instrument with adequate psychometric characteristics. This version is preferred by patients with advanced cancer. The Spanish version of the ESAS-r can, therefore, replace the use of the ESAS.
Copyright © 2013 U.S. Cancer Pain Relief Committee. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22926088     DOI: 10.1016/j.jpainsymman.2012.01.014

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  7 in total

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Authors:  Emily Beswick; Deborah Forbes; Zack Hassan; Charis Wong; Judith Newton; Alan Carson; Sharon Abrahams; Siddharthan Chandran; Suvankar Pal
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