Psychometric properties of the Functional Assessment of Chronic Illness Therapy--Spiritual Well-being (FACIT-Sp) in an Arabic-speaking, predominantly Muslim population

Psychooncology. 2013 Jan;22(1):220-7. doi: 10.1002/pon.2062. Epub 2011 Sep 29.

Abstract

Objective: This study determined the psychometric properties of the Arabic Functional Assessment of Chronic Illness Therapy-Spiritual Well-being (FACIT-Sp) Version 4 and explored associations between its three factors (Peace, Meaning, and Faith) and health-related quality of life (HrQoL) among Arab patients with cancer.

Methods: A total of 205 Arabic-speaking, study-eligible cancer patients who were in treatment at the King Hussein Cancer Center, Amman, Jordan, completed the FACIT-Sp scale.

Results: Cronbach's alpha reliability coefficients suggest that the Arabic FACIT-Sp is reliable and that moderate to strong correlations among subscales suggest validity. Correlation analyses showed that the 12-item Spiritual Well-being scale was associated with Social (r = 0.45, p = 0.01) and Functional Well-being (r = 0.48, p = 0.01). Hierarchical multiple regressions revealed that the Peace factor added 7.5% and the Meaning factor 3.8% to the prediction of HrQoL (p < 0.001). Faith did not significantly contribute to the unique prediction of HrQoL. Correlation analyses revealed that Peace was most prominently associated with the HrQoL subscale of Functional Well-being (r = 0.53, p = 0.01).

Conclusions: This first study of Arabic-speaking, predominantly Muslim Jordanian cancer patients using the FACIT-Sp indicates that it is a psychometrically sound instrument for detailed assessment of the spiritual well-being of Arabic-speaking cancer patients. The three-factor model appears to allow for discrimination among factors that are most highly associated with different aspects of HrQoL.

MeSH terms

  • Adult
  • Aged
  • Arabs / psychology
  • Chronic Disease
  • Female
  • Health Status*
  • Humans
  • Islam*
  • Jordan
  • Male
  • Middle Aged
  • Neoplasms / psychology*
  • Population Surveillance
  • Psychometrics / statistics & numerical data*
  • Quality of Life / psychology*
  • Regression Analysis
  • Reproducibility of Results
  • Socioeconomic Factors
  • Spirituality*
  • Surveys and Questionnaires*
  • Young Adult