Evidence map›Paper›PMID 40229749›Full record

ArticleBMC nursing2025

Latent profile analysis of missed nursing care and their predictors among neuro-oncology nurses: a multicenter cross-sectional study.

Li Ying, Duan Yuyu, Zou Daili, Su Yangmei, Xiang Qing, Zhou Zhihuan

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Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Li Ying *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, P. R. China.
Duan Yuyu *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, P. R. China.
Zou Daili *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, P. R. China.
Su YangmeiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, P. R. China. suym1@sysucc.org.cn.
Xiang QingState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, P. R. China. xiangqing@sysucc.org.cn.
Zhou ZhihuanState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, P. R. China. zhouzhh@sysucc.org.cn.

Funding

Guangdong Medical Science and Technology Research Foundation, China N2021346Young Talents Training Foundation in Nursing of Sun Yat-sen University, China N2022Y05
6 · The paper itself

Abstract

purposeTo explore potential profile characteristics associated with neuro-oncology nurses' missed nursing care (MNC) and analyze differences in characteristics of neuro-oncology nurses across these profiles.

methodsA cross-sectional study design using convenience sampling involved 446 neuro-oncology nurses from ten Grade A oncology hospitals across six provinces in China, conducted from April to June 2024. The General Information Questionnaire, the Oncology Missed Nursing Care Self-Rating Scale, the Practice Environment Scale, and the Psychological Capital Scale were employed for data collection. Latent profile analysis was performed to identify MNC profiles, followed by multinomial logistic regression analysis to examine predictors of MNC.

resultsThe incidence of MNC among neuro-oncology nurses was found to be 36.4%. Three latent profiles were identified: "severe missed nursing care profile" (20.6%), "medium-risk missed nursing care profile" (51.3%), and 'low-risk missed nursing care profile' (28.1%). Compared with the "severe missed nursing care profile," neuro-oncology nurses with a technical secondary school or junior college education, who expressed job satisfaction, good self-confidence, and mental resilience were more likely to fall into the "medium-risk missed nursing care profile." Additionally, those aged 18-35 years were more likely to be categorized in the "low-risk missed nursing care profile," and nurses working in a positive nursing work environment were also more likely to belong to the "medium-risk" or "low-risk missed nursing care profiles."

conclusionThere is notable heterogeneity in the levels of missed nursing care among neuro-oncology nurses. Nursing managers should prioritize addressing middle-risk missed nursing care and enhancing both the working environment and psychological support for neuro-oncology nurses. Tailored interventions based on the distribution of different profiles can improve nursing quality, increase job satisfaction, and enhance patient outcomes.

Indexed as

Latent profile analysis, nursing work environment, psychological capitalMissed nursing careNeuro-oncology nurses

Identifiers

PMID40229749
PMCPMC11998220

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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.