Objective To develop a decision support system for clinical nursing plans based on nursing diagno-sis and explore its application effects,in order to provide references for optimizing the clinical nursing process and improving the quality of nursing.Methods A multidisciplinary research team was established to construct a clini-cal nursing plan decision support system framework from 3 aspects,namely nursing diagnosis,nursing interventions,and outcome tracking.The system built a clinical nursing diagnosis decision knowledge base through 3 dimensions,namely basic nursing diagnoses,specialty disease nursing diagnoses,and nursing-related technical diagnoses.Deep learning-based artificial intelligence capture technology was developed to achieve intelligent matching and generate clinical nursing plan forms.Implemented in a tertiary hospital in Yichang City,Hubei Province,a control group(June to August 2024)and an experimental group(October to December 2024)were compared regarding nursing diagnosis implementation rate,nursing plan documentation accuracy,and clinical nursing quality scores.Results This research showed a significant improvements for nursing diagnosis implementation rate increased from 94.88％to 97.25％,and nursing plan documentation accuracy improved from 90.38％to 95.33％.Compared with the control group,the experimental group demonstrated statistically significant enhancements in deep vein thrombosis preven-tion,fall prevention,pressure injury management,unplanned extubation control,bloodstream infection control,catheter-related infection prevention,and key specialty nursing quality indicators(all P＜0.05).Conclusion The nursing di-agnosis-based clinical decision support system effectively improves nurses'diagnostic implementation rates,enhances documentation accuracy of nursing plans,and elevates overall clinical nursing quality.

Objective To translate Evidence-Informed Decision-Making Competence Measure for Chinese nurses and test its validity and reliability.Methods A research group was set up to use the Brislin translation model to translate the original scale into Chinese,and the back translation,cross-cultural adaptation,pre-experiment and cognitive interview were conducted to finally form the Chinese version of the Evidence-Informed Decision-Making Competence Measure for nurses.A total of 1 247 nurses from 7 tertiary A hospitals in Beijing,Hubei,Hunan and Xinjiang were selected by convenience sampling method in April 2024 to test its reliability and validity.Results 1 026 effective question-naires were collected,with an effective recovery rate of 82.28％.The Chinese version of the Evidence-Informed Decision-Making Competence Measure included 25 items,including knowledge/skill,attitude and behavior.A total of 3 common factors were extracted from exploratory factor analysis,and the cumulative variance contribution rate was 91.725％.The content validity index at the item level was 0.83-1.00;the content validity index at the scale level was 0.988;the calibration association validity was 0.496.The Cronbach's α coefficient of the whole scale was 0.992;the half-point reliability was 0.930;the retest reliability was 0.927.Conclusion The Chinese version of Evidence-Informed Decision-Making Competence Measure for nurses has good reliability and validity,and it can be used to evaluate the evidence-informed decision-making competence of Chinese nurses,provide references for promoting evidence-based nursing practice and evidence-informed decision-making.

Objective:To systematically evaluate the incidence and influencing factors of postoperative stroke in patients with acute type A aortic dissection (ATAAD).Methods:Nine Chinese and English databases, including PubMed, Embase, CINAHL, JAMA, The Cochrane Library, CNKI, Wanfang, Vip and Chinese Biomedicine, were searched by computer to include literatures evaluating the incidence of postoperative stroke and its influencing factors in ATAAD patients. The search period was from the establishment of the database to September 2024. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias in the included studies. Stata 14.0 software was used to combine the prevalence rate, and descriptive analysis of influencing factors was performed.Results:A total of 22 articles were included, including 16 734 ATAAD patients, published from 2018 to 2024. Meta-analysis results showed that the incidence of postoperative stroke in ATAAD patients was 16% (14%-18%). Subgroup analyses showed a higher incidence of postoperative stroke in patients with ATAAD in Europe (19%, 95% CI: 15%-23%), with a sample size of 1 to 300 patients (18%, 95% CI: 14%-22%), and in 2024 (20%, 95% CI: 14%-28%). Descriptive analysis shows that the factors influencing the occurrence of postoperative stroke in ATAAD patients include preoperative history (preoperative hypotension, preoperative history of stroke, history of carotid artery disease, history of cardiac arrest), intraoperative measures (total arch replacement, femoral artery intubation, anterograde cerebral perfusion, intraoperative oxygen satiation), and various types of time (cryopreservation time, extracorporeal circulation time, operation time). Conclusion:The incidence of postoperative stroke is higher in ATAAD patients. Preoperative hypotension, history of stroke before surgery, history of carotid artery disease, history of cardiac arrest, total arch replacement, femoral artery intubation, anterograde cerebral perfusion, decrease of cerebral oxygen saturation during operation, and longer hypothermia stop time, cardiopulmonary bypass time and operation time may increase the risk of postoperative stroke in ATAAD patients.

Objective:To systematically evaluate the incidence and influencing factors of postoperative stroke in patients with acute type A aortic dissection (ATAAD).Methods:Nine Chinese and English databases, including PubMed, Embase, CINAHL, JAMA, The Cochrane Library, CNKI, Wanfang, Vip and Chinese Biomedicine, were searched by computer to include literatures evaluating the incidence of postoperative stroke and its influencing factors in ATAAD patients. The search period was from the establishment of the database to September 2024. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias in the included studies. Stata 14.0 software was used to combine the prevalence rate, and descriptive analysis of influencing factors was performed.Results:A total of 22 articles were included, including 16 734 ATAAD patients, published from 2018 to 2024. Meta-analysis results showed that the incidence of postoperative stroke in ATAAD patients was 16% (14%-18%). Subgroup analyses showed a higher incidence of postoperative stroke in patients with ATAAD in Europe (19%, 95% CI: 15%-23%), with a sample size of 1 to 300 patients (18%, 95% CI: 14%-22%), and in 2024 (20%, 95% CI: 14%-28%). Descriptive analysis shows that the factors influencing the occurrence of postoperative stroke in ATAAD patients include preoperative history (preoperative hypotension, preoperative history of stroke, history of carotid artery disease, history of cardiac arrest), intraoperative measures (total arch replacement, femoral artery intubation, anterograde cerebral perfusion, intraoperative oxygen satiation), and various types of time (cryopreservation time, extracorporeal circulation time, operation time). Conclusion:The incidence of postoperative stroke is higher in ATAAD patients. Preoperative hypotension, history of stroke before surgery, history of carotid artery disease, history of cardiac arrest, total arch replacement, femoral artery intubation, anterograde cerebral perfusion, decrease of cerebral oxygen saturation during operation, and longer hypothermia stop time, cardiopulmonary bypass time and operation time may increase the risk of postoperative stroke in ATAAD patients.

Objective To translate Evidence-Informed Decision-Making Competence Measure for Chinese nurses and test its validity and reliability.Methods A research group was set up to use the Brislin translation model to translate the original scale into Chinese,and the back translation,cross-cultural adaptation,pre-experiment and cognitive interview were conducted to finally form the Chinese version of the Evidence-Informed Decision-Making Competence Measure for nurses.A total of 1 247 nurses from 7 tertiary A hospitals in Beijing,Hubei,Hunan and Xinjiang were selected by convenience sampling method in April 2024 to test its reliability and validity.Results 1 026 effective question-naires were collected,with an effective recovery rate of 82.28％.The Chinese version of the Evidence-Informed Decision-Making Competence Measure included 25 items,including knowledge/skill,attitude and behavior.A total of 3 common factors were extracted from exploratory factor analysis,and the cumulative variance contribution rate was 91.725％.The content validity index at the item level was 0.83-1.00;the content validity index at the scale level was 0.988;the calibration association validity was 0.496.The Cronbach's α coefficient of the whole scale was 0.992;the half-point reliability was 0.930;the retest reliability was 0.927.Conclusion The Chinese version of Evidence-Informed Decision-Making Competence Measure for nurses has good reliability and validity,and it can be used to evaluate the evidence-informed decision-making competence of Chinese nurses,provide references for promoting evidence-based nursing practice and evidence-informed decision-making.

Objective To develop a decision support system for clinical nursing plans based on nursing diagno-sis and explore its application effects,in order to provide references for optimizing the clinical nursing process and improving the quality of nursing.Methods A multidisciplinary research team was established to construct a clini-cal nursing plan decision support system framework from 3 aspects,namely nursing diagnosis,nursing interventions,and outcome tracking.The system built a clinical nursing diagnosis decision knowledge base through 3 dimensions,namely basic nursing diagnoses,specialty disease nursing diagnoses,and nursing-related technical diagnoses.Deep learning-based artificial intelligence capture technology was developed to achieve intelligent matching and generate clinical nursing plan forms.Implemented in a tertiary hospital in Yichang City,Hubei Province,a control group(June to August 2024)and an experimental group(October to December 2024)were compared regarding nursing diagnosis implementation rate,nursing plan documentation accuracy,and clinical nursing quality scores.Results This research showed a significant improvements for nursing diagnosis implementation rate increased from 94.88％to 97.25％,and nursing plan documentation accuracy improved from 90.38％to 95.33％.Compared with the control group,the experimental group demonstrated statistically significant enhancements in deep vein thrombosis preven-tion,fall prevention,pressure injury management,unplanned extubation control,bloodstream infection control,catheter-related infection prevention,and key specialty nursing quality indicators(all P＜0.05).Conclusion The nursing di-agnosis-based clinical decision support system effectively improves nurses'diagnostic implementation rates,enhances documentation accuracy of nursing plans,and elevates overall clinical nursing quality.

Objective Based on the technology acceptance model,to explore the influence mechanism of technical support,perceived interactivity,perceived usefulness,perceived ease of use and perceived risk on medical staff's report intention on adverse events,and to provide path suggestions for improving medical staff's report intention adverse events.Methods The multi-stage sampling method was used to select 637 medical staffs of tertiary public hospitals in Hangzhou who used the information-based platform to report adverse events as the research respondents,and the self-developed scale of report intention on adverse events was used as the research tool,monofactor analysis were conducted by Wilcoxon rank-sum test,and the structural equation model was used to analyze the influence path of their report intention on adverse events.Results Perceived ease of use and perceived usefulness have positive effects on medical staff's report intention on adverse events(β=0.264,0.658;P＜0.001);Perceived risk negatively affected the medical staff's report intention on adverse events(β=-0.143,P＜0.001).The indirect effects of perceived usefulness and perceived ease of use on medical staff's report intention on adverse events are 0.538 and 0.205,respectively.Conclusion Perceived usefulness and perceived ease of use plays a mediating role in perceived interactivity and medical staff's report intention on adverse events.

Objective Based on the technology acceptance model,to explore the influence mechanism of technical support,perceived interactivity,perceived usefulness,perceived ease of use and perceived risk on medical staff's report intention on adverse events,and to provide path suggestions for improving medical staff's report intention adverse events.Methods The multi-stage sampling method was used to select 637 medical staffs of tertiary public hospitals in Hangzhou who used the information-based platform to report adverse events as the research respondents,and the self-developed scale of report intention on adverse events was used as the research tool,monofactor analysis were conducted by Wilcoxon rank-sum test,and the structural equation model was used to analyze the influence path of their report intention on adverse events.Results Perceived ease of use and perceived usefulness have positive effects on medical staff's report intention on adverse events(β=0.264,0.658;P＜0.001);Perceived risk negatively affected the medical staff's report intention on adverse events(β=-0.143,P＜0.001).The indirect effects of perceived usefulness and perceived ease of use on medical staff's report intention on adverse events are 0.538 and 0.205,respectively.Conclusion Perceived usefulness and perceived ease of use plays a mediating role in perceived interactivity and medical staff's report intention on adverse events.

Objective Based on the technology acceptance model,to explore the influence mechanism of technical support,perceived interactivity,perceived usefulness,perceived ease of use and perceived risk on medical staff's report intention on adverse events,and to provide path suggestions for improving medical staff's report intention adverse events.Methods The multi-stage sampling method was used to select 637 medical staffs of tertiary public hospitals in Hangzhou who used the information-based platform to report adverse events as the research respondents,and the self-developed scale of report intention on adverse events was used as the research tool,monofactor analysis were conducted by Wilcoxon rank-sum test,and the structural equation model was used to analyze the influence path of their report intention on adverse events.Results Perceived ease of use and perceived usefulness have positive effects on medical staff's report intention on adverse events(β=0.264,0.658;P＜0.001);Perceived risk negatively affected the medical staff's report intention on adverse events(β=-0.143,P＜0.001).The indirect effects of perceived usefulness and perceived ease of use on medical staff's report intention on adverse events are 0.538 and 0.205,respectively.Conclusion Perceived usefulness and perceived ease of use plays a mediating role in perceived interactivity and medical staff's report intention on adverse events.

Objective Based on the technology acceptance model,to explore the influence mechanism of technical support,perceived interactivity,perceived usefulness,perceived ease of use and perceived risk on medical staff's report intention on adverse events,and to provide path suggestions for improving medical staff's report intention adverse events.Methods The multi-stage sampling method was used to select 637 medical staffs of tertiary public hospitals in Hangzhou who used the information-based platform to report adverse events as the research respondents,and the self-developed scale of report intention on adverse events was used as the research tool,monofactor analysis were conducted by Wilcoxon rank-sum test,and the structural equation model was used to analyze the influence path of their report intention on adverse events.Results Perceived ease of use and perceived usefulness have positive effects on medical staff's report intention on adverse events(β=0.264,0.658;P＜0.001);Perceived risk negatively affected the medical staff's report intention on adverse events(β=-0.143,P＜0.001).The indirect effects of perceived usefulness and perceived ease of use on medical staff's report intention on adverse events are 0.538 and 0.205,respectively.Conclusion Perceived usefulness and perceived ease of use plays a mediating role in perceived interactivity and medical staff's report intention on adverse events.