Aims: To develop and evaluate the psychometric properties of a Chinese Feeding Difficulty Index (Ch-FDI) which assesses feeding difficulties in people with dementia (PwD). Research Design and Method: Scale items were developed using literature review based on Model of Feeding Difficulty. Content validity was evaluated and items were modified by expert panel. Following translation and back-translation, the Ch-FDI was piloted on residents with dementia. The reliability was tested by inter-rater reliability and test-retest reliability. Internal reliability was established by calculating Cronbach's α coefficient. The concurrent validity was evaluated by correlating with similar scale, the Edinburgh Feeding Evaluation in Dementia (EdFED). The exploratory factor analysis (EFA) with varimax rotation and parallel analysis (PA) was performed to test construct validity. Method: Participants were recruited from long-term care facilities in Taiwan. A total of 213 residents with dementia participated in this study during May, 2010 to February, 2011. Results: Content validation, translation and psychometric testing were completed on the 19 items of the Ch-FDI. The translated scale was piloted on 213 residents with dementia of feeding difficulty who were recruited from eight long-term care facilities in Taiwan. The reliability was supported by the internal consistency of Cronbach's α of 0.68 and a test-retest coefficient of 0.85. The content validity, face validity, concurrent validity, and construct validity were used. Conclusions: The Ch-FDI is a newly developed scale with fair psychometric properties aimed to measure feeding difficulties among residents with dementia in long-term care facilities in Taiwan. Using this reliable and valid tool can help healthcare providers to assess feeding problems of PwD and provide feeding assistance in order to promote quality of care during mealtime in long-term care facilities.
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Biochemistry, Genetics and Molecular Biology(all)