Objective To retrieve，evaluate and summarize the best evidence on the management of ocular complications in intensive care patients ventilated in prone position，and to provide references for clinical practice. Methods Evidence on management of ocular complications in intensive care patients ventilated in prone position was systemically retrieved in the guideline websites，professional association websites and databases，such as the BMJ Best Practice，UpToDate，Cochrane Library，Joanna Briggs Institute，PubMed，Web of Science，Science Direct，Embase，CNKI，Wanfang and other databases，including guidelines，clinical decisions，evidence summaries，expert consensuses，group standards，systematic reviews and scoping reviews，published from January 2013 to June 2023. The guidelines were individually evaluated by 4 researchers，and the remaining literature was individually evaluated by 2 researchers. The literature that met the criteria was extracted and graded. Results A total of 15 articles were involved，including 6 guidelines，2 clinical decisions，2 evidence summaries，3 systematic reviews，1 scoping review and 1 group standard. Finally，6 evidence topics and 16 pieces of best evidence were formed，including organization and training，risk identification，eye assessment，eye protection，position management and regular observation. Conclusion This study summarized the best evidence on the management of ocular complications in intensive care patients ventilated in prone position. In the application，the best evidence should be selected according to the clinical situation，so as to reduce the incidence of ocular complications and improve the quality of life of patients.

Objective To construct a clinical decision support system for delirium risk in ICU patients，and to provide a reference for its application in ICU patients. Methods A clinical decision support system for delirium management in ICU was constructed，including risk assessment and identification，intelligent decision making，effect evaluation，and other functions，which will be officially used in the ICU ward of a tertiary A hospital in Jiangsu Province from June 2022 to August 2022. The incidence of delirium，the first time for patients to receive delirium prevention measures，the time for writing nursing records，and the defect rate of nursing records before and after the system application were compared，and the satisfaction rate of nurses to the system was collected. Results After the application of the clinical decision support system for delirium management in ICU patients，the incidence of delirium，the first time to receive delirium prevention measures，the time to write nursing record sheets，and the nursing record defect rate of patients were all reduced，with statistical significance（P<0.05）. The overall satisfaction score of nursing staff with the system was（100.88±4.06）. Conclusion The clinical decision support system for delirium management in ICU patients can provide a scientific decision basis for nurses and improve the quality of delirium prevention and management in ICU patients.

Objective To develop and evaluate a risk predictive model for high level of self-reported symptom cluster distress in breast cancer patients undergoing chemotherapy. Methods 647 patients who received chemotherapy and met the inclusion and exclusion criteria were selected at 4 tertiary hospitals in Shanghai，Shandong，Jiangsu，and Zhejiang from October 2019 to May 2021. Cases were randomly assigned to a modeling group and a validation group based on 5-fold cross-validation method at a ratio of 8：2. The random forest algorithm was used to develop the risk predictive model in the modeling group. The receiver operating characteristic curve，Hosmer-Lemeshow goodness-of-fit test，calibration curve，and decision curve were used to comprehensively evaluate the prediction performance of the model in the validation group. Risk factors were identified based on the order of the importance of each influencing factors. Results The incidence of high symptom cluster distress was 33.27% in the modeling group and 29.23% in the validation group. The area under the receiver operating characteristic curve of the prediction model was 0.91；the sensitivity was 65.8%；the specificity was 93.5%；Hosmer-Lemeshow goodness-of-fit test was insignificant（P=0.1365）；the decision curve was above the reference line. Body image，self-efficacy，and financial burden were the most important predictors. Conclusion The risk predictive model based on random forest algorithm has good predictive performance，which is of great significance to help identify breast cancer subgroups at high risk of symptom cluster distress，and will potentially promote symptom management.

Objective To retrieve，evaluate and integrate evidence related to prevention and management of lifestyle-related dry eye patients. Methods The clinical decisions，recommended practices，evidence summaries，technical reports，guidelines，expert consensuses and systematic evaluations on the prevention and management of lifestyle-related dry eye patients in domestic and foreign databases were retrieved by the computer. The evidence was extracted and summarized according to the subject after the independent literature quality evaluation by 2 researchers. The literature retrieval time limit was from the establishment of the databases to September 2022. Results According to the inclusion criteria，13 pieces of the literature were screened，including 1 guideline，5 systematic reviews，3 expert consensuses，2 technical reports and 2 evidence summaries. Through literature reading，evidence extraction and classification，a total of 25 pieces of evidence were summarized，including assessment，symptom identification，identification of risk factors，artificial tear management，eye care，diet management，health guidance，follow-up education. Conclusion This study summarized the best evidence of prevention and management of lifestyle-related dry eye patients，so as to provide references for nurses to carry out clinical practice. In the process of evidence transformation，the actual situation should be combined to improve the quality of nursing.

Objective To develop a data table system for monitoring the quality of pediatric intravenous infusion process and to evaluate its clinical effectiveness. Methods The data table system was designed to monitor the whole process of intravenous infusion by automatically capturing data from administration,inspection to completion,followed by the generation of personal digital assistant（PDA） scan identification data table and infusion inspection data table. The data table system was put into use since December,2020 in a tertiary children’s hospital in Shanghai. Data collected from October to November,2020 were compared with that from March to April,2021 in terms of PDA scanning rates at the beginning and end of intravenous administration,qualified rate of the number of intravenous infusion inspection,and accuracy rate of intravenous infusion inspection timing. The Effectiveness Evaluation Scale of Clinical Nursing Information System was used to evaluate nursing managers’ satisfaction. Results The PDA scanning rate at the beginning of intravenous administration was improved from 96.76% to 99.96%（P<0.001）;the PDA scanning rate at the end of intravenous administration was improved from 97.88% to 98.82%（P<0.001）;the qualified rate of the number of intravenous infusion inspection was improved from 57.96% to 66.85%（P<0.001）;the accuracy of intravenous infusion inspection time was improved from 95.68% to 96.79%（P<0.001）. The satisfaction score of nursing managers with the data table system was（95.25±0.08）. Conclusion The development of the data table system could help nursing management departments facilitate the use of the clinical data in order to continuously improve the nursing quality and nurses’ behavior. With the help of information service,the data table system for monitoring nursing quality provided a better user experience.

Objective To construct a fall risk assessment scale for inpatients in ophthalmology department,so as to provide ophthalmology medical staff with an effective fall risk assessment tool for ophthalmology inpatients. Methods We determined the index items of the fall risk assessment scale for inpatients in ophthalmology department through literature review,Delphi method and analytic hierarchy process. The convenience sampling method was used to select 41 ophthalmic medical staff members from a tertiary A hospital in Guangzhou as the research subjects in July to August 2021,and the application effect of the constructed scale was preliminarily verified by "Ophthalmic Medical Staff Satisfaction Questionnaire". Results 2 rounds of expert consultations resulted in the effective response rates of 100%,with the authority coefficients of 0.830 and 0.855,and the kendall harmony coefficients of 0.154 and 0.225,which were statistically significant (P<0.001). Finally,the assessment scale was formed,including 4 first-level indicators,18 second-level indicators and 31 third-level indicators. The ophthal-mologists were satisfied with the fall risk assessment scale for inpatients in the ophthalmology department,and their satisfaction score was (22.02±3.47) points,which was higher than the satisfaction score of Morse Fall Scale (P<0.001). Conclusion The assessment scale constructed in this study is scientific and practical,which can provide a reference and basis for clinical ophthalmologists to accurately and effectively assess the fall risk of inpatient ophthalmology inpatients.

Objective A closed-loop management system for ICU medical device-related pressure injuries（MDRPI）was developed,so as to explore the effects of its application in clinical management. Methods The closed-loop management system of ICU MDRPI was constructed and it was composed of risk assessment,clinical nursing decision-making,quality and safety management. It is convenient to extract critically ill patients from ICU wards of a tertiary hospital in Guangdong province. The data before and after the implementation of the closed-loop management system for 6 months was compared,including the assessment rate of MDRPI in ICU,the assessment rate of MDRPI hospitalization,the screening rate of high-risk patients,the implementation rate of clinical nursing decision-making,and the incidence rate of MDRPI in ICU. Results Before and after the implementation of the closed-loop management system,the evaluation rate of MDRPI of ICU patients increased from 64.3% to 96.8%;the evaluation rate of MDRPI hospitalization increased from 44.9% to 98.2%;the screening rate of high-risk MDRPI patients increased from 51.3% to 98.9%;the implementation rate of clinical nursing decision increased from 39.6% to 95.8%;the incidence rate of MDRPI in ICU decreased from 15.9% to 7.3%. The differences were statistically significant（P<0.001）. Conclusion The construction and application of ICU MDRPI closed-loop management system can help ICU nurses scientifically and objectively evaluate and make decisions on MDRPI nursing programs,standardize ICU MDRPI management process,and effectively reduce the incidence of ICU MDRPI.

Objective To identify distinct subgroups of breast cancer patients who were experiencing differential symptom burdens, and to analyze the risk indicators for patients with high symptom burdens. Methods A cross-sectional study design was used, and fatigue, anxiety, depression and sleep disturbance were reported by patients of a tertiary hospital in Shanghai from January 2016 to January 2017. Latent Class Model（LCM） was used to identify the characteristics of potential patient subgroups who were experiencing differential symptom burdens, and Multinominal logistic regression was conducted to identify risk indicators for patients with high-risk symptom burdens. Results 3 latent classes of symptoms were identified, which were named as “high symptom burden class”, “high psychological-related symptom burden class” and “low symptom burden class” according to the symptom characteristics of patients in different classes, accounting for 25. 0%, 19. 7% and 55. 3%, respectively. Compared to patients in the low symptom burden class, patients in the high symptom burden class reported significantly lower quality of life scores（F=55. 499, P<0. 001）. Patients in the “high symptom burden class” were characterized by significantly lower level of exercise self-efficacy（OR=0. 949, P=0. 019）, while patients in the “high psychological-related symptom burden class” were characterized by personality traits of intermediate type（OR=6. 189, P=0. 007）, no breast cancer resection（OR=4. 718, P=0. 020）, and low exercise self-efficacy level（OR=0. 926, P=0. 002）. Conclusion Distinct subgroups of patients with different symptom characters were identified, and quality of life for patients with high-risk symptom burdens were significantly poorer, while exercise self-efficacy can be used as one of the important risk indicators for recognition of high-risk patient groups. For symptom management of breast cancer patients in the future, patients should be assigned into different class memberships, so that subgroups with high symptom burden can be located and person-centered intervention tailored to an individual’s symptom cluster can be offered.

Objective To systematically evaluate the effectiveness of whole-body vibration（WBV） training on balance ability of the elderly. Methods We searched databases including PubMed,Embase,Web of Science,CINAHL,PEDro,Cochrane Library,CBM,CNKI,Wanfang,and VIP and selected all randomized controlled trials（RCTs） that reported the effects of WBV in the elderly. Meta-analysis was performed by RevMan 5.3. The retrieval time is from the establishment of the database to March 2019. Results A total of 25 RCTs involving 1 763 old people were finally included. Meta-analysis results showed that WBV improved dynamic balance,static balance and functional balance of the elderly,and reduced the rate of falls（P<0.05）,but there was no statistically significant difference in improving the physical health and mental health of the elderly（P>0.05）. Conclusion WBV was effective in improving dynamic balance,static balance and functional balance of the elderly,as well as reducing the incidence of falls,but the effect is not significant in improving physical health and mental health.

Objective To investigate the effect of stimulation intervention in elderly patients with traumatic brain injury and coma. Methods A total of 92 elderly patients with traumatic brain injury and coma admitted to a Grade III Level I hospital in Nantong city from February 2017 to February 2019 were enrolled by convenient sampling. They were allocated into the experimental group and the control group with 46 cases in each group based on the time of admission and the random number table. The control group received routine intervention,while the experimental group received stimulatory intervention. The awake situation,neurological recovery before and after intervention,changes in activities of daily living and complication rate were compared between the two groups. Results The awake rates of the experimental group within 15 and 30 days were higher than those of the control group,and the GCS score and ADL score of the experimental group after intervention were higher than those of the control group. The differences were statistically significant（P<0.05）. The coma time of the experimental group was shorter than that of the control group,and the total complication rate of the experimental group was lower than that of the control group,with a statistical difference（P<0.05）. Conclusion Stimulation intervention can be used to accelerate wakefulness,improve neurological function,improve activities of daily living and reduce the incidence of complications in elderly patients with traumatic brain injury and coma.

Objective To construct the nursing monitoring data collection model of pediatric intensive care units and carry out clinical application,so as to improve the recording quality of medical and nursing data of critically ill children in ICU and the working efficiency of medical staff. Methods On the basis of the clinical information system（CIS）,a modern,informationalized and integrated mobile nursing system was established for the process construction of rescue mode,resuscitation mode,blood transfusion mode and special mode. Data collection patterns and nurses’ satisfaction were investigated from January 1,2019 to January 1,2020 in the ICU in different clinical scenarios. Results The rescue mode was started for 328 times;blood transfusion mode was started for 8 014 times;recovery mode was started for 1 622 times. A total of 4 323 cases were recorded by electronic medical records,including 1 793 cases of PICU,1 600 cases of NICU and 930 cases of CICU. The overall satisfaction score of nurses to the nursing monitoring data acquisition mode system was 92.47±1.62 scores. Conclusion The construction of different data collection modes of the PICU effectively integrates the document writing workflow for handling first aid,resuscitation and blood transfusion. The manual and informatic double-checking process ensures the scientific and effective bedside data collection in the ICU. The work procedures of nurses were simplified;the quality of nursing documents was improved;the nurse’s satisfaction with the working environment was improved.