Development and validation of a machine learning-based predictive model for compassion fatigue in Chinese nursing interns: a cross-sectional study utilizing latent profile analysis DOI Creative Commons

Lijuan Yi,

Ting Shuai,

Jingjing Zhou

и другие.

BMC Medical Education, Год журнала: 2024, Номер 24(1)

Опубликована: Дек. 19, 2024

Язык: Английский

How perceived risk of recurrence strengthens health management awareness in stroke patients: the chain mediating role of risk fear and health literacy DOI Creative Commons
Rong Lei, Ming Zhang,

Gui Gui

и другие.

Frontiers in Public Health, Год журнала: 2025, Номер 13

Опубликована: Фев. 20, 2025

Prior research has found that perceived risk in stroke patients motivates health behaviors visitors. However, the role of recurrence plays reinforcing management awareness during motivation phase is unclear. This study explores this issue by examining effects fear and literacy on due to patients. We validated effect its internal mechanism constructing a structural equation model including 763 patients, extending relevant literature application Healthy Behavior Procedural Approach (HAPA) model. The results suggest can effectively reinforce improve awareness, with having chain-mediated group relationship. reveals differential recurrence, fear, at individual level, providing valuable guidance for healthcare practitioners families patients' outcomes well-being.

Язык: Английский

Процитировано

0

Influence of family social capital on career calling: moderated mediation effect of family socioeconomic status DOI Creative Commons
Wenjie Yang,

SU Xiao-min

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Апрель 15, 2025

Язык: Английский

Процитировано

0

The relationship between hope level and self-management behaviors in Chinese patients with type 2 diabetes mellitus: a chain-mediated role of social support and disease perception DOI Creative Commons
Qian Zhang,

Jixia Sun,

Honglin Bian

и другие.

BMC Psychology, Год журнала: 2024, Номер 12(1)

Опубликована: Авг. 19, 2024

Type 2 diabetes mellitus is a chronic disease and one of the fastest- growing global health emergencies 21st century. The relationships between hope level, social support, perception, self-management behaviors are still unclear. Therefore, this study aimed to create structural equation model investigate underlying mechanisms in patients with type provide theoretical basis for future interventions.

Язык: Английский

Процитировано

2

Development and validation of a machine learning-based predictive model for compassion fatigue in nursing interns: A cross-sectional study with latent profile analysis DOI Creative Commons

Lijuan Yi,

Ting Shuai, Yi Liu

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Авг. 8, 2024

Abstract Background Exposure to compassion fatigue during internships can significantly impact on nursing students’ future career trajectories and their intention stay in the profession. Accurately identifying students at high risk of is vital for timely interventions. However, existing assessment tools often fail account within-group variability lack predictive capabilities. To develop validate a model detecting among placement. Design: A cross-sectional study design. Methods Data from 2256 China between December 2021 June 2022 were collected fatigue, professional identity, self-efficacy, social support, psychological resilience, coping styles, demographic characteristics. The latent profile analysis was performed classify levels students. Univariate analysis, least absolute shrinkage selection operator regression conducted identify potential predictors fatigue. Eight machine learning algorithms selected predict performance these models evaluated using calibration discrimination metrics. Additionally, best-performing this evaluation further independent assessment. Results three-profile best fit data, low (55.73%), moderate (32.17%), severe (12.10%) profiles area under curve values eight ranged 0.644 0.826 training set 0.651 0.757 test set. eXtreme Gradient Boosting best, with receiver operating characteristic 0.840, 0.768, 0.731 training, validation, sets, respectively. SHAP clarified model’s explanatory variables, support being most significant contributors user-friendly, web-based prediction tool calculating developed. Conclusions classifier demonstrates exceptional performance, clinical implementation online provide managers an effective means manage

Язык: Английский

Процитировано

0

Changes in the Professional Identity and Self-Efficacy of Nursing Students Engaged in the Objective Structured Clinical Examination Using Simulation Learning DOI Open Access
Keisuke Nojima,

Miki Morimoto

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Сен. 3, 2024

The Objective Structured Clinical Examination (OSCE) is widely adopted in nursing education to enhance clinical skills and professionalism. With OSCE, the learning process important, students who underwent OSCE felt more confident better prepared for their next training.

Язык: Английский

Процитировано

0

Development and validation of a machine learning-based predictive model for compassion fatigue in Chinese nursing interns: a cross-sectional study utilizing latent profile analysis DOI Creative Commons

Lijuan Yi,

Ting Shuai,

Jingjing Zhou

и другие.

BMC Medical Education, Год журнала: 2024, Номер 24(1)

Опубликована: Дек. 19, 2024

Язык: Английский

Процитировано

0