Translation, reliability, and validity of the chinese face-to-face cooperation evaluation scale short version (FACES) in community health and long-term care providers

With China’s rapidly aging population, there is an urgent need to improve collaboration between community health and long-term care providers. However, no validated tool exists to assess the cooperation between these groups in the Chinese context. This study aimed to translate and culturally adapt the FAce-to-face Cooperation Evaluation scale Short version (FACES) into Chinese and assess its psychometric properties among community health and long-term care providers. From July to September 2024, FACES was translated, back-translated, culturally adapted, and reviewed by experts. A total of 680 participants were surveyed to assess the reliability and validity of the Chinese version. Validity was assessed using the content validity index (CVI) to determine content validity, exploratory factor analysis (EFA) (n = 342), and confirmatory factor analysis (CFA) (n = 338) to assess structural validity, and criterion-related validity to determine the ability to correlate with an external criterion. Reliability was assessed using Cronbach’s α coefficient to evaluate internal consistency, split-half reliability to determine scale consistency, and the intraclass correlation coefficient (ICC) to assess test-retest reliability. The Chinese FACES consists of seven items. The I-CVI ranged from 0.875 to 1.000, with an S-CVI of 0.857. EFA revealed a single factor with a cumulative variance contribution of 65.125%. The factor loading range across all items varied from 0.640 to 0.812. CFA showed a satisfactory final model fit: chi-square (χ²) = 26.539, Goodness of Fit Index (GFI) = 0.978, Root Mean Squared Error of Approximation (RMSEA) = 0.052, Comparative Fit Index (CFI) = 0.989, and Normed Fit Index (NFI) = 0.978. The Cronbach’s α coefficient was 0.907, indicating strong internal consistency. Split-half reliability analysis yielded Cronbach’s $$\:\alpha\:$$ values of 0.905 and 0.777 for the first four items and last three items, respectively, suggesting acceptable internal consistency. The ICC was 0.982, demonstrating excellent test-retest reliability. The Chinese version of the FACES demonstrates good reliability and validity, making it suitable for assessing the level of collaboration between community health and long-term care providers in China.

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Publication Details

Journal
BMC Geriatrics
Published
2026-04-15
DOI
https://doi.org/10.1186/s12877-026-07483-x
Primary Topic
Interprofessional Education and Collaboration
Type
article
Field-Weighted Citation Impact
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article

Translation, reliability, and validity of the chinese face-to-face cooperation evaluation scale short version (FACES) in community health and long-term care providers

LIU Huiqin, Yuanzhi Fu, Xi Zuyang, Li Zifeng et al.
BMC Geriatrics
Interprofessional Education and Collaboration
article

Translation, reliability, and validity of the chinese face-to-face cooperation evaluation scale short version (FACES) in community health and long-term care providers

LIU Huiqin, Yuanzhi Fu, Xi Zuyang, Li Zifeng, Liu Jinglan, Bai Hualin, Yang Luhuan, Jiang Jiawei
article en

Abstract

With China’s rapidly aging population, there is an urgent need to improve collaboration between community health and long-term care providers. However, no validated tool exists to assess the cooperation between these groups in the Chinese context. This study aimed to translate and culturally adapt the FAce-to-face Cooperation Evaluation scale Short version (FACES) into Chinese and assess its psychometric properties among community health and long-term care providers. From July to September 2024, FACES was translated, back-translated, culturally adapted, and reviewed by experts. A total of 680 participants were surveyed to assess the reliability and validity of the Chinese version. Validity was assessed using the content validity index (CVI) to determine content validity, exploratory factor analysis (EFA) (n = 342), and confirmatory factor analysis (CFA) (n = 338) to assess structural validity, and criterion-related validity to determine the ability to correlate with an external criterion. Reliability was assessed using Cronbach’s α coefficient to evaluate internal consistency, split-half reliability to determine scale consistency, and the intraclass correlation coefficient (ICC) to assess test-retest reliability. The Chinese FACES consists of seven items. The I-CVI ranged from 0.875 to 1.000, with an S-CVI of 0.857. EFA revealed a single factor with a cumulative variance contribution of 65.125%. The factor loading range across all items varied from 0.640 to 0.812. CFA showed a satisfactory final model fit: chi-square (χ²) = 26.539, Goodness of Fit Index (GFI) = 0.978, Root Mean Squared Error of Approximation (RMSEA) = 0.052, Comparative Fit Index (CFI) = 0.989, and Normed Fit Index (NFI) = 0.978. The Cronbach’s α coefficient was 0.907, indicating strong internal consistency. Split-half reliability analysis yielded Cronbach’s $$\:\alpha\:$$ values of 0.905 and 0.777 for the first four items and last three items, respectively, suggesting acceptable internal consistency. The ICC was 0.982, demonstrating excellent test-retest reliability. The Chinese version of the FACES demonstrates good reliability and validity, making it suitable for assessing the level of collaboration between community health and long-term care providers in China.

BMC Geriatrics
Universiti Putra Malaysia (MY), Second Hospital of Yichang (CN), Yichang Central People's Hospital (CN)
Partnerships for the goals
Openalex Percentile: Top 20%
Interprofessional Education and Collaboration
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