Translation, cultural adaptation, and psychometric testing of the measure for unfinished care among nursing assistants in long-term care homes in China
Objective: To translate and culturally adapt the Basel Extent of Rationing of Nursing Care for Nursing Homes (BERNCA-NH) into Chinese and to examine its preliminary psychometric properties among nursing assistants working in Chinese long-term care (LTC) homes for older adults. Methods: After obtaining permission from the original developers, the BERNCA-NH was translated and culturally adapted through forward translation, back-translation, synthesis, cognitive interviews, and expert review. A cross-sectional survey was conducted among 251 nursing assistants recruited by convenience sampling from long-term care facilities in China. Descriptive statistics, item analysis, exploratory factor analysis, and internal consistency testing were performed. Results: coefficients of the five subscales ranged from 0.622 to 0.764. Conclusion: The Chinese version of the BERNCA-NH showed acceptable preliminary psychometric properties and may serve as a preliminary tool for assessing unfinished care among nursing assistants in Chinese LTC homes, although further validation is needed. It may help identify priority areas for care improvement and provide support for quality assessment, management, and improvement in LTC homes.
Authors
- Qiuyun Mao
- Yinfei Duan (ORCID: https://orcid.org/0000-0003-2720-5359)
- Mengjiao Xu
- Hongwei Qi
- Yuting Song
- Franziska Zúñiga
Institutions
- Qingdao University (CN)
- University of Alberta (CA)
- University of Basel (CH)
- Taian City Central Hospital (CN)
- Qingdao Municipal Center for Disease Control and Prevention (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2026-04-16
- DOI
- https://doi.org/10.3389/fpubh.2026.1829774
- Primary Topic
- Geriatric Care and Nursing Homes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Department of Education of Shandong Province
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province