Objective To analyze the influencing factors of hypoglycemia in patients undergoing colonoscopy and to construct a risk prediction model and evaluate the model. Methods A total of 528 patients who underwent colonoscopy were selected by the convenience sampling method from the gastroenterology department of a tertiary A hospital in Qingdao from March 2022 to August 2022. Their general information，laboratory indicators and operation-related data were collected. Multivariate Logistic regression was used to analyze the risk factors of hypoglycemia in patients with colonoscopy for risk prediction model construction，and its prediction effect was evaluated by drawing a nomogram. Results Hypoglycemia occurred in 66 of 528 patients，with an incidence of 12.50%. The risk factors finally in the risk prediction model in Logistic regression were drinking history，long fasting time after operation，polyethylene glycol（PEG）-electrolyte solutions>3 L，low quality of bowel preparation. The model passed Hosmer-Lemeshow goodness of fit test χ2=10.158（P=0.200）. The area under the ROC curve was 0.829，while the cut-off was 0.575，with sensitivity of 92.90% and specificity of 64.60%. Conclusion Patients undergoing colonoscopy have a higher risk of hypoglycemia. Patients with a history of drinking，longer fasting after surgery，more than 3 L of PEG-electrolyte solutions，and low quality of bowel preparation were more likely to develop hypoglycemia. The established risk prediction model has a good effect，providing the reference for screening high-risk group of hypoglycemia and taking preventive and protective measures.
Objective To construct a scientific and systematic core competence evaluation index system for nurses participating in ECMO technology,in order to provide references for the training,assessment and competence evaluation of nurses. Methods Through literature review and semi-structured interviews,the preliminary draft of the core competence evaluation index system for nurses participating in ECMO technology was formed in this study. From February to April 2021,25 experts from 6 provinces in China were consulted by Delphi method,and the weight of indexes at all levels was determined by analytic hierarchy process. Results The effective recovery rates of the 2 rounds of expert consultations were 90.00% and 92.59%,respectively;the expert authority coefficient was 0.886,and the Kendall harmony coefficient was 0.205（P<0.001） in the second round. The final core competence evaluation index system for nurses participating in ECMO technology includes 7 first-level indexes,19 second-level indexes and 70 third-level indexes. The first-level indexes include professional knowledge,clinical practice ability,critical thinking ability,professional development ability,communication and coordination ability,management ability,and personal traits. Conclusion The core competence evaluation index system for nurses participating in ECMO technology in this study was scientific and reliable,which can provide valuable references for the training,assessment and competence evaluation of nurses.
Objective To explore the core competence of ECMO specialist nurses in China and to provide standards for training ECMO specialist nurses. Methods With qualitative research methods,semi-structured interviews were conducted among 10 nurses who managed ECMO independently,3 ICU physicians,2 perfusionists and 3 head nurses. Content analysis was used to summarize and extract the theme. Results 7 themes were extracted,including professional knowledge,clinical practice ability,critical thinking ability,professional development ability,communication and coordination ability,management ability,and personal traits. Conclusion The core competences of ECMO specialist nurses are comprehensive. It is necessary to pay attention to and strengthen these 7 core competences of ECMO specialist nurses,so as to meet the needs of ECMO specialized nursing development.
Objective To build a scientific and systematic evaluation index system of hospital-community continuous nursing quality after percutaneous coronary intervention（PCI） to provide a reference for nursing managers and clinical nurses to objectively evaluate the quality of hospital-community continuous nursing after PCI. Methods This study was conducted from November 2019 to April 2020 based on the three-dimensional quality structure model of“structure-process-result”,using literature review,semi-structured interviews,expert consultations and analytic hierarchy process to determine the content of the hospital-community linkage continuous nursing quality after PCI evaluation index system and the weight of each index. Results The effective recovery rates of the 2 rounds of expert consultations were 95% and 100% respectively;the expert authority coefficients were 0.933 and 0.937 res-pectively;the Kendall harmony coefficients were 0.201 and 0.226 respectively（P<0.001）. The final evaluation index system includes 3 first-level indicators,14 second-level indicators and 62 third-level indicators,among which the structural quality includes 4 second-level indicators and 16 third-level indicators;the process quality includes 3 second-level indicators and 18 third-level indicators;the result quality includes 7 second-level indicators and 28 third-level indicators. Conclusion The hospital-community continuous nursing quality evaluation index system constructed after PCI is scientific and reliable,which can provide a basis for continuous nursing quality evaluation and continuous improvement.
