Validation of the Arabic Version of the Memorial Symptom Assessment Scale Among Lebanese Cancer Patients

J Pain Symptom Manage. 2015 Oct;50(4):559-65. doi: 10.1016/j.jpainsymman.2014.08.014. Epub 2014 Sep 19.

Abstract

Context: To our knowledge, there have been no previous attempts to translate the Memorial Symptom Assessment Scale (MSAS) into the Arabic language and validate it among the Arab cancer population.

Objectives: The purpose of this study was to validate the MSAS in Arabic (MSAS-Leb) among 190 Lebanese oncology outpatients.

Methods: The questionnaires were the MSAS-Leb and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30). Data were collected between 2009 and 2010 at a major teaching hospital in Lebanon. The psychometric indices used were reliability, convergent validity, principle component analysis, and confirmatory factor analysis (CFA).

Results: The Cronbach's alpha coefficients for the MSAS and its subscales ranged from 0.71 to 0.83. On convergent validity testing, the psychological and global distress index subscales were moderately correlated (r > -0.50; P < 0.01) with the emotional functioning subscale of the EORTC QLQ-C30. Correlation coefficients between the MSAS items and selected subscales from the EORTC QLQ-C30 met the standards of convergent validity (r = -0.55 to 0.81; P < 0.01) except for the nausea/vomiting subscale. On principal component analysis (N = 95), four meaningful clusters were recovered. The clusters represented the psychological and physical components. CFA (N = 95) showed an acceptable model and a good fit (goodness-of-fit index = 0.59, adjusted goodness-of-fit index = 0.51, root mean square residual = 0.05, root mean square error of approximation = 0.2) with our data set.

Conclusion: The MSAS-Leb has acceptable psychometric properties of reliability and validity. We recommend its use in clinical practice and outpatient settings among health care professionals to assess and follow-up on symptom burden among patients diagnosed with cancer.

Keywords: Cancer; MSAS; lebanon; psychometrics; scale; symptoms.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Factor Analysis, Statistical
  • Female
  • Hospitals, Teaching
  • Humans
  • Lebanon
  • Male
  • Middle Aged
  • Neoplasms / diagnosis*
  • Outpatients
  • Principal Component Analysis
  • Psychometrics
  • Reproducibility of Results
  • Symptom Assessment*
  • Translating
  • Translations