Objective: To explore the relationship between life skills, psychological resilience and subjective well-being among primary and secondary school students, so as to provide evidence for targeted adolescent mental health education. Methods: From September to November, 2025, a total of 5 831 primary and secondary school students from five cities (Beijing, Guangzhou, Shenzhen, Chongqing, Urumqi) were selected by convenience sampling. The Adolescent Subjective Well being Scale, School based Adolescents Life Skills Scale, and Adolescent Psychological Resilience Scale were used for investigation. Data were analyzed using t-tests, one way ANOVA, and linear regression. Results: The total mean score of students subjective well being was (5.46± 0.91) ; the total mean score of life skills was (3.69±0.64); the total mean score of psychological resilience was (3.66±0.69). Statistically significant differences in subjective well being scores were found among students grouped by gender, grade, school stage, residential city, living with parents or living with siblings ( t/F =4.14, 53.92, 14.53, 49.99, 13.49, 2.18, all P <0.01). Stratified regression analyses were performed by gender (adjusting for school stage, residential city and living arrangement) and by school stage (adjusting for gender, residential city and living arrangement), the regression results indicated that life skills of boys, girls, primary school students and junior high school students( β =0.54, 0.53, 0.50, 0.57) and their psychological resilience ( β = 0.56 , 0.60, 0.56, 0.60) were positively associated with subjective well being (all P <0.01). Conclusions Life skills and psychological resilience may be important protective factors for subjective well being among primary and secondary school students. School based mental health education should emphasize life skills training and resilience building to promote students subjective well being.

Objective Based on the intervention map to develop a comprehensive nutrition education program for pancreaticoduodenectomy patients and to explore the effect of its clinical application,aiming at providing references for clinical nursing practice.Methods A convenience sampling method was used to select 76 patients who were to undergo pancreaticoduodenectomy in the department of hepatobiliary and pancreatic surgery of a tertiary hospital in Anhui Province as the study subjects.The 38 patients admitted from October 2021 to September 2022 were in a control group,and the 38 patients admitted from October 2022 to July 2023 were in an experimental group.The experimental group received the comprehensive nutritional education programme constructed in this study,and the control group used conventional nutrition health education measures,and the length of intervention for both groups was from pre-hospitalization to discharge for 6 months.Nutrition-related indicators,postoperative complications,hospitalisation time,hospitalisation costs and satisfaction were compared between the 2 groups.Results A total of 64 patients completed this study,with 33 in the experimental group and 31 in the control group.Repeated measurement analysis of variance showed that the interaction effects of BMI,total serum protein and serum preprotein were statistically significant(P＜0.05).The incidence of complications,hospitalization days and hospitalization costs of the experimental group were lower than those of the control group(P＜0.05).The scores of nutrition education-related satisfaction in the experimental group were higher than those in the control group(P＜0.001).Conclusion A comprehensive nutritional education program based on intervention map can improve the nutritional status of pancreaticoduodenectomy patients to a certain extent,reduce the occurrence of complications,and promote patients'recovery.

OBJECTIVE T o assess the in vitro antimicrobial activity of aztreonam-avibactam against metallo-β—lacta-mase(MBL)-producing carbapenem-resistant Enterobacteriaceae(CRE)using different antimicrobial susceptibility testing methods,evaluate the consistency of results based on the latest breakpoints recommended by European Committee on Antimicrobial Susceptibility Testing(EUCAST),and analyze the clinical applicability.METHODS The imipenem-or meropenem-resistant Enterobacteriaceae strains were isolated from the clinical specimens of Bei-jing Chaoyang Hospital from Jan.2019 to Mar.2023,MBL-producing CRE were selected after they were con-firmed by colloidal gold immunoassay and Sanger sequencing as the study subjects.The minimum inhibitory con-centrations(MICs)of single aztreonam and aztreonam-avibactam compounds were determined by using broth mi-crodilution method.In addition,the disk diffusion method and the gradient diffusion method were employed to further detect the in vitro susceptibility to aztreonam-avibactam.RESULTS Among the 87 strains of MBL-producing CRE that were included in the study,Escherichia coli was the most common species,accounting for 44.83％.NDM-5 was the predominant carbapenemase type,detected in 48.28％of the isolates.According to the latest EUCAST break-points,6 isolates were aztreonam-avibactam-resistant strains based on broth microdilution method,all of which were E.coli,and the resistance rate was 6.90％(6/87).However,the resistance rate that was determined by the disk diffu-sion method was significantly higher(22.99％,20/87).Among these,14 strains was within the area of technical uncer-tainty/resistant,making result interpretation difficult.In addition,the categorical agreement between the gradient diffu-sion method and the broth microdilution method reached up to 98.85％.CONCLUSIONS Aztreonam-avibactam has high antimicrobial activity against MBL-producing CRE.However,based on the latest EUCAST breakpoints,the antimicrobial susceptibility testing by the disk diffusion method results of some strains are hard to interpret.It is necessary to integrate with other methods for further validation.

Objective To construct a dynamic prediction model for the risk of developing Alzheimer's disease(AD)based on baseline clinical data and longitudinal neuropsychological scores in patients with mild cognitive impairment(MCI).Methods A total of 380 MCI patients from the Alzheimer's Disease Neuroimaging Initiative 1 study from 2005 to 2011 were selected and were randomly divided into a training set and a test set in a 7∶3 randomization.The Alzheimer's disease assessment scale-cognitive 13 items(ADAS-Cog13),Rey auditory verbal learning test immediate score(RAVLT Immediate),functional activities questionnaire(FAQ),and mini-mental state examination(MMSE)were used as longitudinal neuropsychological score metrics.Random survival forests with multivariate longitudinal endogenous covariates were used to construct a dynamic prediction model of the risk of developing AD in patients with MCI in the training set.The predictive performance of the model was evaluated in the test set using time-dependent areas under the receiver operator characteristic curve(AUC)and Brier score(BS).Results For the prediction of the risk of developing AD in patients with MCI,longitudinal neuropsychological scores were more important predictors than baseline clinical data,with FAQ being the strongest predictor.The dynamic prediction model had high predictive performance in the test set,with AUC ranging from 0.7695 to 0.8987 and BS ranging from 0.1369 to 0.2184.Conclusion Random survival forests with multivariate longitudinal endogenous covariates can be used to combine multivariate longitudinal neuropsychological scores to construct a prediction model for the risk of developing AD in patients with MCI,with high predictive performance and the ability to achieve individual dynamic prediction.

OBJECTIVES: This study aimed to investigate the perception of dental outpatient care quality from multiple perspectives of administrators, physicians, nurses, and patients and propose nursing care quality evaluation indices that are consistent with the clinical reality to provide reference for the construction of a scientific, systematic, and comprehensive dental outpatient care quality evaluation system. METHODS: A total of 39 interviewees, including 7 administrators, 11 doctors, 11 nurses, and 10 patients, were selected for semi-structured in-depth interviews in five regionally representative tertiary-level A stomatological specialty hospitals nationwide during January-April 2024 by using a multistage sampling method. Colaizzi 7-step analysis was used to analyze and summarize the interview data. Themes were extracted on the basis of the Structure-Process-Outcome (SPO) three-dimensional quality assessment model. RESULTS: Five main themes and 15 secondary themes were extracted from three quality dimensions: structure, process, and result. The related topics of structural quality were as follows: disinfection and isolation norms, equipment and consumable management, nursing manpower ratio and nurse education structure, and emergency capability. The related topics of process quality were as follows: pre-diagnosis risk assessment, patient triage and guidance, communication and attitude, health education, humanistic care, continuous care, specialty operation, and four-hand operation. The related topics of result quality were as follows: satisfaction, adverse event management and analysis, effective complaints and disputes. CONCLUSIONS Structure quality is the foundation, process quality is the core, and result quality is the key in the evaluation of the quality of oral outpatient care. The standardization of disinfection and isolation, equipment and consumable management, allocation of reasonable nursing manpower and post capacity, implementation of high-quality nursing services, and improvement of the quality and satisfaction of medical cooperation are necessary guarantees to ensure the quality of oral outpatient care.
Humans ; Quality of Health Care ; Ambulatory Care/standards* ; Dental Care/standards* ; Outpatients

OBJECTIVES: This study aimed to construct an evaluation index system for nursing quality management in outpatient dental clinics based on the structure-process-outcome model and provide an objective standard for the evaluation of nursing quality in outpatient dental clinics. METHODS: Through literature review, multi-subject interviews, and expert meetings, the first draft of the evaluation index for nursing quality management in outpatient dental clinics was formulated. The Delphi method was adopted to select and invite 15 experts in the fields of hospital infection management, nursing management, and specialized oral care from across the country to modify the first draft. RESULTS: The positive coefficients of the experts in the two rounds of consultation were 86.7% and 92.3%, respectively. The total authority coefficients of the experts were 0.791 and 0.717, respectively. The mean scores of the importance and feasibility of the third-level indices in the two rounds of consultation were all ≥4.333; the coefficients of variation were all ≤0.150; and the Kendall's coordination coefficients were 0.308 and 0.184 respectively, with P<0.05 for all. These results indicated that the experts were motivated to participate in this study. They recognized the importance and feasibility of the overall items in this index system, and their opinions were relatively consistent. Finally, an evaluation index system, which included 3 first-level indices, 7 second-level indices, 22 third-level indices, and 69 index connotations, for nursing quality management in outpatient dental clinics was determined. The weights of the three first-level indicators were all 0.333. Patient satisfaction (0.076, outcome dimension), hand hygiene (0.061, outcome dimension), chair care ratio (0.057, structural dimension), and turnover rate (0.057, structural dimension) were the top tertiary indicators in terms of portfolio weight. CONCLUSIONS The construction method of the evaluation index system for nursing quality management in outpatient dental clinics is scientific and reliable. It can provide a reference for the evaluation of the management level of nursing quality in outpatient dental clinics and promote the continuous improvement of nursing quality in outpatient dental clinics.
Humans ; Dental Clinics ; Delphi Technique

Objective:To explore the effectiveness of nursing based on the Roy model in patients with Guillain-Barre syndrome (GBS) .Methods:Convenience sampling was used to select 55 patients with GBS at the First People's Hospital of Shangqiu between January 2020 and May 2024 as study subjects. Patients were divided into an intervention group ( n=28) and a control group ( n=27). Control group received conventional nursing, while intervention group received nursing based on Roy adaptation model. The recovery time, psychological state, and social support of the two groups of patients were compared. Results:Intervention group demonstrated shorter recovery times, lower anxiety and depression scores, and higher Social Support Rating Scale scores compared to control group, with all differences being statistically significant ( P<0.05) . Conclusions:The Roy model nursing in this study of GBS patients, effectively improves recovery outcomes, psychological state, and social support among GBS patients through comprehensive assessment, personalized nursing intervention, and ongoing evaluation.

Objective:To explore the risk factors of blood pressure fluctuations during the dialysis period in maintenance hemodialysis (MHD) patients and their impact on long-term survival.Methods:A total of 100 cases of MHD patients admitted to Anhui Linquan People′s Hospital from September 2020 to May 2022 were selected and divided into high fluctuation group (coefficient of variation in systolic blood pressure>8.64%) and non-high fluctuation group (coefficient of variation in systolic blood pressure ≤ 8.64%). The clinical data of the two groups were compared, and the LASSO model was used to conduct the preliminary screening for each risk factor. The nomogram prediction model of blood pressure fluctuation during the dialysis period was drawn, and the receiver operating characteristic (ROC) curve and calibration curve was drawn to obtain the prediction efficiency and calibration degree of the nomograph model. Kaplan-Meier survival curve was drawn to compare the 1-year survival status of the two groups.Results:The results of single factor analysis showed that body mass index, dialysis age, urea clearance index, ultrafiltration volume, serum calcium, serum albumin, serum phosphorus, serum sodium, total parathyroid hormone (iPTH), serum uric acid, serum creatinine, C-reactive protein, alkaline phosphatase, early diastolic maximum blood flow in the left ventricle (peak E)/atrial systolic maximum blood flow of mitral valve (peak A), and left ventricular ejection fraction (LVEF) were risk factors for blood pressure fluctuation during dialysis ( P<0.05). The prediction model of nomograph was drawn, and the consistency index (C-index) was 0.941, the prediction sensitivity was 88.40%, and the specificity was 91.20%. Kaplan-Meier survival curve analysis showed that the 1-year survival rate in the high fluctuation group was lower than that in the non-high fluctuation group ( P<0.05). Conclusions:Blood pressure fluctuation during dialysis in MHD patients is related to blood sodium, calcium and phosphorus, iPTH, blood uric acid, albumin, peak E/peak A, and LVEF, and can affect the prognosis of patients, and attention should be paid to the monitoring and control of above indexes of the patients in order to improve the prognosis.

Objective:To explore the effectiveness of nursing based on the Roy model in patients with Guillain-Barre syndrome (GBS) .Methods:Convenience sampling was used to select 55 patients with GBS at the First People's Hospital of Shangqiu between January 2020 and May 2024 as study subjects. Patients were divided into an intervention group ( n=28) and a control group ( n=27). Control group received conventional nursing, while intervention group received nursing based on Roy adaptation model. The recovery time, psychological state, and social support of the two groups of patients were compared. Results:Intervention group demonstrated shorter recovery times, lower anxiety and depression scores, and higher Social Support Rating Scale scores compared to control group, with all differences being statistically significant ( P<0.05) . Conclusions:The Roy model nursing in this study of GBS patients, effectively improves recovery outcomes, psychological state, and social support among GBS patients through comprehensive assessment, personalized nursing intervention, and ongoing evaluation.

Objective To construct a dynamic prediction model for the risk of developing Alzheimer's disease(AD)based on baseline clinical data and longitudinal neuropsychological scores in patients with mild cognitive impairment(MCI).Methods A total of 380 MCI patients from the Alzheimer's Disease Neuroimaging Initiative 1 study from 2005 to 2011 were selected and were randomly divided into a training set and a test set in a 7∶3 randomization.The Alzheimer's disease assessment scale-cognitive 13 items(ADAS-Cog13),Rey auditory verbal learning test immediate score(RAVLT Immediate),functional activities questionnaire(FAQ),and mini-mental state examination(MMSE)were used as longitudinal neuropsychological score metrics.Random survival forests with multivariate longitudinal endogenous covariates were used to construct a dynamic prediction model of the risk of developing AD in patients with MCI in the training set.The predictive performance of the model was evaluated in the test set using time-dependent areas under the receiver operator characteristic curve(AUC)and Brier score(BS).Results For the prediction of the risk of developing AD in patients with MCI,longitudinal neuropsychological scores were more important predictors than baseline clinical data,with FAQ being the strongest predictor.The dynamic prediction model had high predictive performance in the test set,with AUC ranging from 0.7695 to 0.8987 and BS ranging from 0.1369 to 0.2184.Conclusion Random survival forests with multivariate longitudinal endogenous covariates can be used to combine multivariate longitudinal neuropsychological scores to construct a prediction model for the risk of developing AD in patients with MCI,with high predictive performance and the ability to achieve individual dynamic prediction.