Psychometric Validation of the Edmonton Symptom Assessment System in Chinese Patients

Yixue Dong, Heng Chen, Yuanyu Zheng, Ying Guo, Jung Hye Kwon, En Liu, Hong Guo, Eduardo Bruera

    Research output: Contribution to journalArticlepeer-review

    29 Scopus citations

    Abstract

    Context The Edmonton Symptom Assessment System is a simple and widely used questionnaire to assess patient symptoms. Objectives We aimed to develop and verify a Chinese version of the Edmonton Symptom Assessment System (C-ESAS) for use with Chinese patients. Methods Two hundred ten patients were surveyed in the Department of Gastroenterology of Xinqiao hospital in southwest China. Patients completed the C-ESAS and the Chinese version of the M. D. Anderson Symptom Inventory to assess internal consistency, test-retest reliability, and concurrent validity of the C-ESAS. The questionnaires were completed again two hours later. Results The C-ESAS demonstrated acceptable internal consistency (Cronbach α = 0.72). This indicated that no question had an inappropriate effect on the score. Pearson correlation coefficients for the C-ESAS symptom scores between baseline and after two hours ranged from 0.47 (95% CI, 0.35-0.89) to 0.92 (95% CI, 0.57-0.94), indicating strong test-retest reliability. The corresponding Chinese version of the M. D. Anderson Symptom Inventory symptom scores ranged from 0.66 (95% CI, 0.58-0.95) to 0.96 (95% CI, 0.73-0.97), indicating good concurrent validity. The average time to complete the C-ESAS differed according to patient education level. Conclusion The C-ESAS is a good tool for measuring multidimensional symptoms in Chinese patients.

    Original languageEnglish (US)
    Pages (from-to)712-717.e2
    JournalJournal of pain and symptom management
    Volume50
    Issue number5
    DOIs
    StatePublished - Nov 2015

    Keywords

    • Chinese
    • ESAS
    • concurrent validity
    • internal consistency
    • test-retest reliability

    ASJC Scopus subject areas

    • General Nursing
    • Clinical Neurology
    • Anesthesiology and Pain Medicine

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