Development and psychometric properties evaluation of caregiver burden questionnaire in family caregivers of hemodialysis patients

Author:

Hejazi Sima Sadat,Hosseini Meimanat,Ebadi Abbas,Alavi Majd Hamid

Abstract

Abstract Backgorund This study aimed to design and psychometrically evaluate the caregiver burden questionnaire for family caregivers of hemodialysis patients. Methods This study was conducted using an exploratory sequential mixed method on family caregivers of hemodialysis patients in Iran. In the first phase, the generation of the items was done based on results of directed qualitative content analysis according to the Structural model of the caregiver burden and review of the literature. After developing the item pool, face and content validity, item analysis, structural, convergent and discriminant validity, internal consistency, reliability, interpretability, and feasibility were evaluated. Results The primary tool entered the psychometric evaluation phase with 64 items. After performing face and content validity and item analysis, the number of items was reduced to 28. Exploratory factor analysis was performed with 28 items and 300 caregivers, and finally, four subscales with 21 items were developed. The results of confirmatory factor analysis indicated a good fit of the model. Cronbach's alpha and the Intraclass Correlation Coefficient of all subscales were higher than 0.7 and 0.9, respectively. The standard error of measurement was 1.39. All subscales had acceptable values in convergent validity criteria and the HTMT index less than the threshold value. The total score of the questionnaire had no ceiling and floor effect; the percentage of unanswered items was within the acceptable range. Conclusion The results show that the caregiver burden questionnaire for caregivers of patients undergoing hemodialysis has good psychometric properties and can measure the caregiver burden in these caregivers.

Funder

Shahid Beheshti University of Medical Sciences

Publisher

Springer Science and Business Media LLC

Subject

General Nursing

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