1.Latent profile analysis and influencing factors of voice behavior among head nurses
Liyan ZHANG ; Shuangying HUANG ; Xiaoqin MA ; Xiaohuan ZHAO ; Zhihao HAN ; Xianming WENG
Chinese Journal of Modern Nursing 2025;31(24):3299-3306
Objective:To analyze the latent profiles of voice behavior among head nurses and to explore the influencing factors associated with different voice behavior categories.Methods:A convenience sampling method was used to recruit 527 head nurses from 104 medical institutions across 17 provinces in East, South, Central, North, Northwest, Southwest, and Northeast China between November 2023 and January 2024. Data were collected using a General Information Questionnaire, Voice Behavior Scale, Organizational Justice Scale, General Self-Efficacy Scale, and a Brief Personality Inventory. Latent profile analysis was conducted to identify subgroups of voice behavior, and multinomial Logistic regression was performed to explore influencing factors.Results:The score of head nurses' voice behavior was (45.84±6.88). Three latent profiles were identified: low-capacity fluctuating type, medium-capacity stable type, and high-capacity promoting type. Logistic regression analysis showed that openness personality trait, organizational justice, self-efficacy, and hospital grade were significant predictors of voice behavior profiles (all P<0.05) . Conclusions:The overall level of voice behavior among head nurses is above average, with evident heterogeneity. Nursing administrators should actively encourage voice behavior, provide timely feedback, and foster a fair organizational environment to promote a positive and constructive voice culture.
2.Latent profile analysis and influencing factors of voice behavior among head nurses
Liyan ZHANG ; Shuangying HUANG ; Xiaoqin MA ; Xiaohuan ZHAO ; Zhihao HAN ; Xianming WENG
Chinese Journal of Modern Nursing 2025;31(24):3299-3306
Objective:To analyze the latent profiles of voice behavior among head nurses and to explore the influencing factors associated with different voice behavior categories.Methods:A convenience sampling method was used to recruit 527 head nurses from 104 medical institutions across 17 provinces in East, South, Central, North, Northwest, Southwest, and Northeast China between November 2023 and January 2024. Data were collected using a General Information Questionnaire, Voice Behavior Scale, Organizational Justice Scale, General Self-Efficacy Scale, and a Brief Personality Inventory. Latent profile analysis was conducted to identify subgroups of voice behavior, and multinomial Logistic regression was performed to explore influencing factors.Results:The score of head nurses' voice behavior was (45.84±6.88). Three latent profiles were identified: low-capacity fluctuating type, medium-capacity stable type, and high-capacity promoting type. Logistic regression analysis showed that openness personality trait, organizational justice, self-efficacy, and hospital grade were significant predictors of voice behavior profiles (all P<0.05) . Conclusions:The overall level of voice behavior among head nurses is above average, with evident heterogeneity. Nursing administrators should actively encourage voice behavior, provide timely feedback, and foster a fair organizational environment to promote a positive and constructive voice culture.
3.Clinical Analysis of Seven Cases with Hemolysis,Elevated Liver Enzymes and Low Platelets Syndrome.
Jianrong WENG ; Jiashen SHAO ; Jiarong ZHANG ; Xianming XU
Journal of Medical Research 2006;0(02):-
Objective To investigate the diagnosis and treatment of HELLP syndrome through analyzing the clinical data of seven patients of HELLP syndrome.Methods We reviewed the study.There were three patients in the absolute HELLP group,four patients in the partial HELLP group.The laboratory data,clinical symptom,delivery method and the outcome of the pregnant women and infants of the two groups were analyzed.Results All the seven patients had clinical presentations of PIH.Total bilirubin(TB) value in absolute HELLP group was significantly higher than that in partial HELLP group(P

Result Analysis
Print
Save
E-mail