Evidence map›Paper›PMID 42392627›Full record

ArticleBMJ open2026

Patterns of unfinished care among nursing assistants in long-term care homes in China: a latent class analysis.

Mengjiao Xu, Xueying Liu, Hongwei Qi, Yutong Pan, Qiuyun Mao, Bin Ji, Yuting Song

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mengjiao XuSchool of Nursing, Qingdao University, Qingdao, China.ORCID http://orcid.org/0009-0006-4079-2155
Xueying LiuSchool of Nursing, Qingdao University, Qingdao, China.ORCID http://orcid.org/0009-0007-6905-7485
Hongwei QiSchool of Nursing, Qingdao University, Qingdao, China.
Yutong PanSchool of Nursing, Qingdao University, Qingdao, China.
Qiuyun MaoDepartment of Nursing, Tai'an Central Hospital, Tai an, Shandong, China songyuting@qdu.edu.cn maoqy723@163.com.
Bin JiOffice of Administration, Qingdao Long-term Care Association, Qingdao, Shandong, China.
Yuting SongSchool of Nursing, Qingdao University, Qingdao, China songyuting@qdu.edu.cn maoqy723@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe present study was designed to identify patterns of unfinished care among nursing assistants in Chinese long-term care homes and to examine how these patterns are associated with sociodemographic and work-related characteristics.

designA cross-sectional study.

settingThe survey was conducted in 11 long-term care homes in China.

participantsBetween September 2024 and May 2025, 251 nursing assistants completed the survey. OUTCOME MEASURES: Unfinished care was assessed using the Chinese version of the Basel Extent of Rationing of Nursing Care for Nursing Homes instrument. Latent class analysis (LCA) was used to identify patterns of unfinished care, and multinomial logistic regression was used to examine associations with sociodemographic and work-related characteristics.

resultsLCA identified three patterns of unfinished care: the multidimensional high-level group (13.55%), the low-level group (51.79%) and the moderate-level group (34.66%). Nursing assistants with junior or senior high school education were less likely to belong to the multidimensional high-level group compared with those with primary school education or below (OR=0.27, 95% CI 0.08 to 0.96, p=0.043). Compared with nursing assistants with 6 months to 1 year of service at the current facility, those with more than 3 years of service were less likely to belong to the multidimensional high-level group (OR=0.21, 95% CI 0.05 to 0.85, p=0.028). Heavier workload was associated with a higher likelihood of belonging to the multidimensional high-level group; nursing assistants caring for 7-9 older adults were more likely to belong to this group than those caring for ≤6 older adults (OR=9.12, 95% CI 1.49 to 55.75, p=0.017). Shift patterns (eg, alternating 24-hour shift with 24-hour rest vs 8-hour day shift) did not show significant associations with unfinished care group membership.

conclusionUnfinished care among nursing assistants in long-term care homes in China was heterogeneous. This population may require more targeted workforce support, differentiated training, better workload organisation and broader organisational and policy support for sustainable care delivery.

Indexed as

Long-Term CareNursing AssistantsNursing HomesAdultChinaCross-Sectional StudiesFemaleHumansLatent Class AnalysisLogistic ModelsMaleMiddle AgedSurveys and QuestionnairesCross-Sectional StudiesHealth Services for the AgedNursing CareNursing Homes

Identifiers

PMID42392627
PMCPMC13331016

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.