Heterogeneity and associated factors of palliative care core competency among oncology nurses: a latent profile analysis

Background Global cancer incidence is expected to rise by 60% by 2040, intensifying the burden experienced by patients and their families. Palliative care improves quality of life in advanced disease and depends on oncology nurses’ competencies in ethical decision-making, symptom management, and psychological resilience. Despite moderate overall proficiency, psychosocial shortcomings and heterogeneity in competency remain insufficiently characterized. This study utilized latent profile analysis (LPA), guided by shared decision-making and symptom management theories, to identify competency subgroups and associated factors among Chinese oncology nurses, aiming to guide targeted training interventions. Methods A cross-sectional survey was conducted among 241 oncology nurses from five hospitals in Shenzhen, China, between April and September 2025, using cluster sampling. Data were collected using a general information questionnaire, the 32-item Core Competency Questionnaire, and the Nurses’ Professional Identity Scale. LPA models (1–4 classes) were fitted using R software (version 4.4.0). Univariate analyses, Analysis of Variance or Kruskal–Wallis H tests, and multivariate logistic regression were performed with SPSS 29.0 to evaluate demographic and occupational factors associated with profile membership. Results The mean core competency score was 76.02 ± 23.85 (59.3% of maximum). LPA revealed three distinct profiles: low-competency (27%), moderate -competency (45%), and high-competency (28%). The three-profile solution was selected by considering model fit indices, entropy, class proportions, and substantive interpretability (entropy = 0.931; Lo-Mendell-Rubin and bootstrap likelihood ratio tests P < 0.001). High-competency nurses scored 1.8-fold higher in ethical care, 2.4-fold higher in clinical practice, and 2.0-fold higher in psychological self-adjustment compared with the low-competency group (all P < 0.001). Systematic palliative care training was associated with higher odds of membership in the high-competency profile rather than the moderate-competency profile ( OR = 3.210, 95% CI [1.298–7.940], P = 0.012). Higher average monthly night-shift frequency was associated with lower odds of membership in the low-competency profile rather than the moderate-competency profile ( OR = 0.887, 95% CI [0.788–0.998], P = 0.046). Profiles diverged significantly in professional identity (F = 24.11, P < 0.001, η 2 = 0.17). Conclusion Oncology nurses exhibit heterogeneous palliative care competencies characterized by strong ethical, moderate clinical, and weak psychological capacities. Systematic training was associated with high-competency profile membership, and targeted programs focusing on psychological self-adjustment may be explored in future longitudinal or interventional studies.

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Journal
PeerJ
Published
2026-08-26
DOI
https://doi.org/10.7717/peerj.21645
Primary Topic
Palliative Care and End-of-Life Issues
Type
article
Field-Weighted Citation Impact
0.00

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article

Heterogeneity and associated factors of palliative care core competency among oncology nurses: a latent profile analysis

Danhui You, Yuping Liu, Wu Li, Yanting Ning et al.
PeerJ
Palliative Care and End-of-Life Issues
article

Heterogeneity and associated factors of palliative care core competency among oncology nurses: a latent profile analysis

Danhui You, Yuping Liu, Wu Li, Yanting Ning, Qian Deng, Yang Yu, Liqiong Liu, Zhenhong Xu, Fangxin Luoye
article en

Abstract

Background Global cancer incidence is expected to rise by 60% by 2040, intensifying the burden experienced by patients and their families. Palliative care improves quality of life in advanced disease and depends on oncology nurses’ competencies in ethical decision-making, symptom management, and psychological resilience. Despite moderate overall proficiency, psychosocial shortcomings and heterogeneity in competency remain insufficiently characterized. This study utilized latent profile analysis (LPA), guided by shared decision-making and symptom management theories, to identify competency subgroups and associated factors among Chinese oncology nurses, aiming to guide targeted training interventions. Methods A cross-sectional survey was conducted among 241 oncology nurses from five hospitals in Shenzhen, China, between April and September 2025, using cluster sampling. Data were collected using a general information questionnaire, the 32-item Core Competency Questionnaire, and the Nurses’ Professional Identity Scale. LPA models (1–4 classes) were fitted using R software (version 4.4.0). Univariate analyses, Analysis of Variance or Kruskal–Wallis H tests, and multivariate logistic regression were performed with SPSS 29.0 to evaluate demographic and occupational factors associated with profile membership. Results The mean core competency score was 76.02 ± 23.85 (59.3% of maximum). LPA revealed three distinct profiles: low-competency (27%), moderate -competency (45%), and high-competency (28%). The three-profile solution was selected by considering model fit indices, entropy, class proportions, and substantive interpretability (entropy = 0.931; Lo-Mendell-Rubin and bootstrap likelihood ratio tests P < 0.001). High-competency nurses scored 1.8-fold higher in ethical care, 2.4-fold higher in clinical practice, and 2.0-fold higher in psychological self-adjustment compared with the low-competency group (all P < 0.001). Systematic palliative care training was associated with higher odds of membership in the high-competency profile rather than the moderate-competency profile ( OR = 3.210, 95% CI [1.298–7.940], P = 0.012). Higher average monthly night-shift frequency was associated with lower odds of membership in the low-competency profile rather than the moderate-competency profile ( OR = 0.887, 95% CI [0.788–0.998], P = 0.046). Profiles diverged significantly in professional identity (F = 24.11, P < 0.001, η 2 = 0.17). Conclusion Oncology nurses exhibit heterogeneous palliative care competencies characterized by strong ethical, moderate clinical, and weak psychological capacities. Systematic training was associated with high-competency profile membership, and targeted programs focusing on psychological self-adjustment may be explored in future longitudinal or interventional studies.

PeerJVol. 14
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Cancer Center (US)
Chinese Academy of Medical Sciences, Peking Union Medical College, Sanming Project of Medicine in Shenzhen
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Palliative Care and End-of-Life Issues
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