Ying Li, Yuyu Duan, Daili Zou, Yangmei Su, Qing Xiang, Zhihuan Zhou
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.
Department of Neurosurgery, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, P. R. China.
BMC Nurs. 2025 Apr 14;24(1):419. doi: 10.1186/s12912-025-03094-w.
To 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.
A 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.
The 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."
There 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.
探讨与神经肿瘤专科护士护理缺失（MNC）相关的潜在特征，并分析不同特征的神经肿瘤专科护士之间的差异。
采用便利抽样的横断面研究设计，于2024年4月至6月对中国六个省份十家甲级肿瘤医院的446名神经肿瘤专科护士进行了调查。采用一般信息问卷、肿瘤护理缺失自评量表、执业环境量表和心理资本量表进行数据收集。进行潜在类别分析以识别护理缺失类别，随后进行多项逻辑回归分析以检验护理缺失的预测因素。
发现神经肿瘤专科护士中护理缺失的发生率为36.4%。识别出三个潜在类别：“严重护理缺失类别”（20.6%）、“中度风险护理缺失类别”（51.3%）和“低风险护理缺失类别”（28.1%）。与“严重护理缺失类别”相比，具有中专或大专学历、表示工作满意度高、自信心强和心理韧性好的神经肿瘤专科护士更有可能属于“中度风险护理缺失类别”。此外，18 - 35岁的护士更有可能被归类为“低风险护理缺失类别”，在积极的护理工作环境中工作的护士也更有可能属于“中度风险”或“低风险护理缺失类别”。
神经肿瘤专科护士的护理缺失水平存在显著异质性。护理管理者应优先解决中度风险的护理缺失问题，并加强对神经肿瘤专科护士的工作环境和心理支持。根据不同类别的分布进行针对性干预可以提高护理质量、增加工作满意度并改善患者结局。
