Abstract:Objective To explore the management of low-value consumables in the secondary ward storage using intelligent ward cabinets.Methods From August 2022 to May 2023,32 kinds of low-value consumables commonly used in clinical departments of Jiangsu Cancer Hospital were selected as the control group,and the same 32 kinds of low-value consumables from June 2023 to March 2024 were selected as the observation group.The hospital and the third party jointly developed a smart cabinet system for low-value consumables,and deployed the smart cabinet in the wards.The management time of consumables,the rate of shortages and surpluses,the problems in consumables management and the satisfaction of medical personnel were measured by nurses who served as mangers of medical consumables.Results After using intelligent cabinet management,the time required for requisition and inventory of medical low-value consumables was significantly reduced.Shortage and surplus rates decreased greatly.The management efficiency was improved,the workload of nurses was reduced,and accuracy of charges increased,with overall satisfactory outcomes(all P<0.05).Conclusions The management effect of consumables was obviously improved,and the satisfaction of nurses in using and managing medical consumables was improved.

Abstract:Objective To explore the influencing factors of fear of falling(FOF)in patients with first-episode cerebral infarction(CI)and to construct a random forest predictive model.Methods One hundred and sixty patients with first-episode CI admitted to the Third Affiliated Hospital of Shandong First Medical University from November 2022 to December 2023 were selected.Based on the presence of FOF,patients were divided into FOF group and non-FOF group.Clinical data of all subjects were collected.Multivariate Logistic regression was used to identify risk factors of FOF,and a random forest model was constructed using R(R4.3.3)software,and the receiver operating characteristic(ROC)curves were plotted to evaluate the model performance.Results Among the 160 patients,68 patients had FOF(42.50%).There were statistically significant differences in age,marital status,walking ability,history of falls,and cognitive impairment between the FOF group and the non-FOF group(P<0.05).Multivariate Logistic regression analysis showed that age 65-80 years old,cognitive impairment,assisted walking,no spouse,and history of falls were risk factors for FOF in patients with first-episode CI(P<0.05).The random forest model showed that the error rate was lowest when the number of trees was 74.The relatively important predictors ranked as follows:Age 65-80 years old,no spouse,cognitive impairment,use of walking aids,and history of falls.Meanwhile,the average reduction in the Gini value was proportional to the importance of each variable in the model.The area under the ROC curve(AUC)for the random forest model was 0.823,compared with 0.788 for the Logistic regression model.The predictive performance of the random forest model was slightly higher than that of the Logistic regression model(Z=2.261,P=0.024).Conclusions Age 65-80 years old,cognitive impairment,use of walking aids,no spouse,and history of falls are risk factors for FOF in patients with first-episode CI.The predictive performance of the random forest model constructed in this study is higher than that of the Logistic regression model.Medical staff could provide patients with more accurate and personalized intervention programs based on the ranking of the genetic importance of the random forest model for FOF in patients with first-episode CI.

Abstract:Automated peritoneal dialysis(APD)is less efficient than other renal replacement therapy(RRT)modalities in terms of ultrafiltration and sodium clearance,which may exacerbate volume problems in patients with acute kidney injury(AKI).Therefore,proper APD volume management is crucial for the recovery of AKI patients.This paper systematically reviews the relevant measures and existing problems of volume management in AKI patients treated with APD.It explores the limitations within the process of volume management in depth and proposes potential improvements,so as to provide a theoretical basis and practical guidance for future volume interventions,with a view to improving the clinical outcomes and prognosis of patients.

Abstract:Objective To construct a risk matrix model for evaluating the fall in hospitalized patients,quantify the risk grade of falls,and provide a reference for fall risk assessment.Additionally,to integrate a smart nursing system to achieve intelligent risk early warning and intervention.Methods Relevant fall risk factors were identified through literature research,conducting an expert analysis using the Delphi method,and constructing an indicator pool.Based on the risk matrix theory,construct a risk matrix model for falls.Retrospective data of hospitalized patients from a tertiary hospital in Jiangsu Province from 2020 to 2022 were collected through a smart nursing system for model validation.Results Form a risk factor indicator pool for inpatient falls,consisting of 4 risk dimensions and 39 risk items.Form a 5×5 matrix with the likelihood of risk occurrence as the horizontal axis and the severity of the consequences of risk occurrence as the vertical axis.Through patient data validation,the weights of four dimensions were further adjusted.The model has high accuracy in predicting the risk of falls in hospitalized patients.The combination of intelligent nursing system has achieved dynamic risk assessment and real-time warning.Conclusions By constructing the fall risk matrix model and integrating the smart nursing system,a more scientific and intuitive basis for fall risk assessment in hospitalized patients is provided and has strong potential for clinical application and broader implementation.

Abstract:Pediatrics is a core professional course for students majoring in clinical medicine at higher vocational colleges.In order to cultivate students'autonomous learning ability,strengthen their clinical thinking,and enhance medical post competency,the combination of"case-based learning"(CBL)and"project-based learning"(PBL)in online and offline Pediatrics teaching practice was carried out under the concept of"outcome-based education"(OBE).Taking Kawasaki disease as the teaching content,this paper introduces the teaching design in detail from six aspects:Teaching analysis,teaching objectives,teaching design,teaching process,teaching evaluation and teaching reflection.The whole process emphasizes student-centeredness guided by teacher,encourages students to"learn by doing and do while learning",and organically integrates the ideological and political concept of"guardian angel",cultivating students'professional values alongside medical knowledge.

Abstract:Objective To evaluate the performance level of point-of-care testing(POCT)blood glucose by Six Sigma quality management and guide quality improvement.Methods External quality assessment(EQA)was conducted according to National Center for Clinical Laboratories(NCCL)POCT blood glucose instrument results,and internal quality control(IQC)data were assessed from surgical departments in June 2022.Bias and coefficient of variation(CV)values were detected with EQA and IQC.According to the total allowable error(TEa=20%)of the POCT blood glucose instrument,Sigma(σ)and QGI were calculated with the standardized σ performance charts and the causes of suboptimal performance were analyzed.A structured quality management system was then implemented to verify the effectiveness of corrective measures in one surgical department.Results The σ values were all less than 6 and the QGI values were all less than 0.8 in seven surgical departments.Fishbone and Pareto analyses indicated that inadequate precision was mainly attributable to deviations from standard operating procedures(SOPs),limited knowledge of quality control among nurses,and repeated use of opened control materials.After implementing corrective measures,the GLU1 bias was reduced to 2.17%,the total CV value was 3.22%,the σ value was 4.23,and the QGI was 0.75,reflecting an improvement compared with baseline.Conclusions The Six Sigma quality management system is an important management tool for the quality of POCT blood glucose,which can effectively analyze the causes of quality issues and guide quality improvement,and has strong potential for broader clinical application.

Abstract:Objective To investigate nurses'knowledge and attitudes toward the application of artificial intelligence(AI)in diabetes management,and to identify factors influencing their attitudes.Methods A cross-sectional survey was conducted from November to December 2024,using snowball sampling.The self-administered questionnaire included 17 items across four sections:demographic characteristics,AI-related participation and training interest,AI knowledge level,and attitudes toward AI.Descriptive statistics,t-tests,ANOVA,and multiple linear regression were used for data analysis.Results A total of 280 nurses participated.Among them,92.86%worked in tertiary hospitals,97.14%held a bachelor's degree or above,and 53.57%were diabetes specialist nurses.Additionally,21.79%had participated in AI-related research in diabetes care,and 50.71%had received AI-related training.Most nurses reported partial knowledge of AI in diabetes management(65.71%),while only 13.57%demonstrated a high level of knowledge.A total of 88.57%expressed moderate to strong interest in AI training.The total attitude score was 30,with an average score of(25.22±3.41),indicating generally positive attitudes.Multiple regression analysis showed that a doctoral degree,higher knowledge levels,prior AI training,and stronger interest in training were significantly associated with more positive attitudes(P<0.05).Conclusions Nurses demonstrate moderate levels of knowledge but positive attitudes toward AI in diabetes management,along with a strong willingness to engage in training.Targeted and personalized training strategies are recommended to improve knowledge level and promote the effective integration of AI into clinical nursing practice for diabetes care.

Abstract:Objective To explore the effectiveness of using teacher standardized patients(TSPs)based on virtual simulation teaching in case-based instruction for a health assessment course.Methods Second-year undergraduate nursing students enrolled in the health assessment course were randomly assigned by student ID to an experimental group(n=29)and a control group(n=28)according to their order.The control group adopted the traditional case teaching method,while the experimental group used the TSP method based on virtual simulation teaching.After the course,their caring ability and communication ability were evaluated.Results After the course,the experimental group accessed the virtual simulation platform more frequently than the control group(t=8.26,P<0.01).Scores of caring ability and communication ability in the experimental group were higher than those in the control group(P<0.05).Conclusions The application of teacher standardized patients based on virtual simulation teaching in case teaching of health assessment course can improve the caring ability and communication ability of undergraduate nursing students,which is worthy of further promotion and application in nursing professional education.

Abstract:Objective To explorethe application effectiveness of a virtual simulation platform in midwifery practice teaching.Methods A total of 101 nursing students who chose the"Midwifery"course in the 2021 grade of our school were selected and assigned to an observation group(n=50)and the control group(n=51).The observation group received blended practice teaching that combined a virtual simulation platform with traditional practice teaching,while the control group adopted traditional teaching methods for practical teaching.Self-directed learning ability,theory knowledge and practice skills were assessed between the two groups after the course.Results The scores of learning awareness,learning behavior,learning strategy,learning evaluation and interpersonal skills in the observation group were higher than those in the control group(P<0.05).The scores of the observation group in the theoretical assessment and practical assessment were higher than those in the control group(P<0.05).Conclusions The blended practice teaching of midwifery based on the virtual simulation platform is conducive to improving students'self-directed learning ability and helps students master theory knowledge and practice skills,and has reference significance for promoting the reform and innovation of practical teaching.

Abstract:Against the backdrop of population aging,the customized home-based elderly care services in Jilin Province integrate multiple entities such as the government,enterprises,and communities through three models:Commissioned operation model,integrated embedding model,and resource sharing model.These models have significantly improved the service coverage rate and quality,and also driven the development of related industries.However,challenges remain,such as insufficient implementation of policies,uneven funding allocation,marked urban-ruraldisparities,low enthusiasm of enterprises to participate,shortage of professional talents,and inadequate needs assessment.This paper analyzes these issues in depth to promote the sustainable development of customized home-based elderly care through further analysis of existing problems and to provide effective solutions for an aging society.

Abstract:Objective To construct thirst nursing intervention scheme for urological patients after general anesthesia using the action research method and to evaluate its effectiveness.Methods From June 2023 to August 2024,urological patients with general anesthesia in Zhongshan People's Hospital were selected by convenient sampling method.Fifty patients admitted from June to October 2023 were assigned to the control group;the thirst nursing intervention plan was constructed based on the action study method.Fifty patients admitted from November 2023 to March 2024 were assigned to the pre-experiment process(first cycle),and 50 patients admitted from April to August 2024 were set as the observation group(second cycle).Numerical Rating Scale(NRS)and perioperative thirst discomfort scale(PTDS)were used to evaluate subjective thirst and discomfort before surgery and 1 h,3 h and 6 h after surgery,respectively.Results Finally,49 cases in the control group and 49 cases in the observation group were included in statistical analysis.The time-point effect(Ftime-point=1 550.048,1 824.203),intergroup effect(Fintergroup=63.325,101.016)and interaction effect(Finteraction=24.194,57.346)of NRS scores,PTDS scores at different time points in the two groups were statistically significant(all P<0.05).NRS scores,PTDS scores in the observation group at 1 h,3 h and 6 h after operation were lower than those in the control group(P<0.05).Conclusions The establishment of thirst nursing intervention scheme after urological general anesthesia using the action research method is beneficial for reducing early postoperative thirst degree.

Abstract:This report summarizes the nursing experience in the rapid recovery for a patient who experienced cardiac arrest following lip cancer surgery.Key nursing interventions included:Activating the cardiac arrest emergency protocol upon admission and implementing targeted temperature management;analyzing the causes of cardiac arrest and formulating a treatment plan;optimizing airway management;developing a personalized oral care plan to promote rapid recovery;adopting an integrated medical-nursing approach to enhance flap management;actively correcting anemia to prevent related complications;strengthening psychological interventions based on a humanistic concept.After 19 days of meticulous treatment and nursing,the patient's condition improved and was discharged.Follow-up at six months showed favorable recovery progress.