PURPOSE: The comprehensive needs assessment tool for cancer caregivers (CNAT-C) is a systematic and comprehensive needs assessment tool for the family caregivers. The purpose of this project was twofold: (1) to adapt the CNAT-C to Mainland China's cultural context and (2) to evaluate the psychometric properties of the newly adapted Chinese CNAT-C. METHODS: Cross-cultural adaptation of the original CNAT-C was performed according to published guidelines. A pilot study was conducted in Mainland China with 30 Chinese family cancer caregivers. A subsequent validation study was conducted with 205 Chinese cancer caregivers from Mainland China. Construct validity was determined through exploratory and confirmatory factor analyses. Reliability was determined using internal consistency and test-retest reliability. RESULTS: The split-half coefficient for the overall Chinese CNAT-C scale was 0.77. Principal component analysis resulted in an eight-factor structure explaining 68.11 % of the total variance. The comparative fit index (CFI) was 0.91 from the modified model confirmatory factor analysis. The Chi-square divided by degrees of freedom was 1.98, and the root mean squared error of approximation (RMSEA) was 0.079. In relation to the known-group validation, significant differences were found in the Chinese CNAT-C scale according to various caregiver characteristics. Internal consistency was high for the Chinese CNAT-C reaching a Cronbach α value of 0.94. Test-retest reliability was 0.85. CONCLUSIONS: The newly adapted Chinese CNAT-C scale possesses adequate validity, test-retest reliability, and internal consistency and therefore may be used to ascertain holistic health and support needs of cancer patients' family caregivers in Mainland China.
PURPOSE: The comprehensive needs assessment tool for cancer caregivers (CNAT-C) is a systematic and comprehensive needs assessment tool for the family caregivers. The purpose of this project was twofold: (1) to adapt the CNAT-C to Mainland China's cultural context and (2) to evaluate the psychometric properties of the newly adapted Chinese CNAT-C. METHODS: Cross-cultural adaptation of the original CNAT-C was performed according to published guidelines. A pilot study was conducted in Mainland China with 30 Chinese family cancer caregivers. A subsequent validation study was conducted with 205 Chinese cancer caregivers from Mainland China. Construct validity was determined through exploratory and confirmatory factor analyses. Reliability was determined using internal consistency and test-retest reliability. RESULTS: The split-half coefficient for the overall Chinese CNAT-C scale was 0.77. Principal component analysis resulted in an eight-factor structure explaining 68.11 % of the total variance. The comparative fit index (CFI) was 0.91 from the modified model confirmatory factor analysis. The Chi-square divided by degrees of freedom was 1.98, and the root mean squared error of approximation (RMSEA) was 0.079. In relation to the known-group validation, significant differences were found in the Chinese CNAT-C scale according to various caregiver characteristics. Internal consistency was high for the Chinese CNAT-C reaching a Cronbach α value of 0.94. Test-retest reliability was 0.85. CONCLUSIONS: The newly adapted Chinese CNAT-C scale possesses adequate validity, test-retest reliability, and internal consistency and therefore may be used to ascertain holistic health and support needs of cancerpatients' family caregivers in Mainland China.
Authors: G M Devins; R Dion; L G Pelletier; C M Shapiro; S Abbey; L R Raiz; Y M Binik; P McGowan; N G Kutner; H Beanlands; S M Edworthy Journal: Med Care Date: 2001-10 Impact factor: 2.983
Authors: Jiamin Wang; Peter C Coyte; Di Shao; Xuemei Zhen; Ni Zhao; Chen Sun; Xiaojie Sun Journal: Int J Environ Res Public Health Date: 2022-08-17 Impact factor: 4.614
Authors: Keun Hye Jeon; In Young Choi; In Young Cho; Dong Wook Shin; Ji Won Lee; Hee Jo Baek; Nack-Gyun Chung; Ki Woong Sung; Yun-Mi Song Journal: J Cancer Surviv Date: 2021-11-06 Impact factor: 4.062
Authors: Tao Wang; Alex Molassiotis; Jing-Yu Tan; Betty Pui Man Chung; Hou-Qiang Huang Journal: Support Care Cancer Date: 2020-08-10 Impact factor: 3.603