Objective To investigate the current nursing practice of nurses specializing in nutritional support in ICUs and analyze their influencing factors in order to improve the training program and promote the development of standardized and precise nursing practice.Methods Convenience sampling method was used to select nutritional support nurses in ICUs in 29 provinces(autonomous regions and municipalities)from October 2023 to March 2025,and the self-developed questionnaire on nursing practice behaviors of nutritional support nurses in ICUs was used to conduct the survey.SPSS 21.0 software was used for descriptive analysis and multiple linear regression analysis.Results A total of 774 questionnaires were distributed,and 766 valid questionnaires were collected,with a recovery rate of 98.97％,and the score of the questionnaire on nursing practice behaviors of nurses specializing in nutritional support in ICU was(90.41±1 1.82).The results of multiple linear regression analysis showed that gender,presence of a nutritional support nursing team in the hospital,a standardized process of nutritional support nursing in the department,clear positional responsibilities of the nutritional support nursing team members,and inclusion of the nutritional support status of the patients in the quality management of the department were the factors influencing the nursing practice behavior scores of the nurses specializing in nutritional support in ICUs(P＜0.05).Conclusion Nurses in the ICUs have a high level of nursing practice behavior,but there is a need for further standardization in parenteral nutrition infusion and monitoring of complications.ICU nursing managers should formulate improvement strategies to address the weaknesses of clinical practice,strengthen nutritional support training,and improve the quality management program,and further improve the practical ability of nurses specializing in nutritional support.

Objective:To describe the current status and research methods of external validation studies of risk prediction models conducted by nursing scholars in China.Methods:Using the search terms "predictive model, external validation, nursing, risk prediction, external validation, nursing" this study searched eight databases (China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang Data, VIP, Embase, PubMed, CINAHL, and Web of Science) for studies published up to June 2023. Literature was imported into EndNote software for organization and deduplication. Two researchers independently conducted initial and secondary screenings by reading the titles, abstracts, and full texts of studies according to inclusion and exclusion criteria. Descriptive analysis was conducted on the included studies under the framework of the Joanna Briggs Institute (JBI) scoping review methodology.Results:A total of 70 studies (15 dissertations and 55 journal articles), primarily published from 2021 to 2023, were included. Among 246 risk prediction models constructed by nurses, 28.5% (70/246) underwent external validation. The models focused on issues such as infection, cognitive impairment, skin injury, thrombosis, and malnutrition. Most studies were conducted in single-center settings (71.4%, 50/70), with temporal validation being the most common type (67.1%, 47/70). The majority of models were presented as nomograms, though some studies had methodological issues in validation.Conclusions:In recent years, new prediction models for specific diseases or endpoints have continued to emerge from nursing research in China, yet few have undergone external validation for clinical application, and the quality and methods of validation require improvement. Future researchers should standardize and strengthen the external validation and optimization of risk prediction models, focusing on clinical applicability to enhance the practical value of these models.

Objective To investigate the current nursing practice of nurses specializing in nutritional support in ICUs and analyze their influencing factors in order to improve the training program and promote the development of standardized and precise nursing practice.Methods Convenience sampling method was used to select nutritional support nurses in ICUs in 29 provinces(autonomous regions and municipalities)from October 2023 to March 2025,and the self-developed questionnaire on nursing practice behaviors of nutritional support nurses in ICUs was used to conduct the survey.SPSS 21.0 software was used for descriptive analysis and multiple linear regression analysis.Results A total of 774 questionnaires were distributed,and 766 valid questionnaires were collected,with a recovery rate of 98.97％,and the score of the questionnaire on nursing practice behaviors of nurses specializing in nutritional support in ICU was(90.41±1 1.82).The results of multiple linear regression analysis showed that gender,presence of a nutritional support nursing team in the hospital,a standardized process of nutritional support nursing in the department,clear positional responsibilities of the nutritional support nursing team members,and inclusion of the nutritional support status of the patients in the quality management of the department were the factors influencing the nursing practice behavior scores of the nurses specializing in nutritional support in ICUs(P＜0.05).Conclusion Nurses in the ICUs have a high level of nursing practice behavior,but there is a need for further standardization in parenteral nutrition infusion and monitoring of complications.ICU nursing managers should formulate improvement strategies to address the weaknesses of clinical practice,strengthen nutritional support training,and improve the quality management program,and further improve the practical ability of nurses specializing in nutritional support.

Objective:To describe the current status and research methods of external validation studies of risk prediction models conducted by nursing scholars in China.Methods:Using the search terms "predictive model, external validation, nursing, risk prediction, external validation, nursing" this study searched eight databases (China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang Data, VIP, Embase, PubMed, CINAHL, and Web of Science) for studies published up to June 2023. Literature was imported into EndNote software for organization and deduplication. Two researchers independently conducted initial and secondary screenings by reading the titles, abstracts, and full texts of studies according to inclusion and exclusion criteria. Descriptive analysis was conducted on the included studies under the framework of the Joanna Briggs Institute (JBI) scoping review methodology.Results:A total of 70 studies (15 dissertations and 55 journal articles), primarily published from 2021 to 2023, were included. Among 246 risk prediction models constructed by nurses, 28.5% (70/246) underwent external validation. The models focused on issues such as infection, cognitive impairment, skin injury, thrombosis, and malnutrition. Most studies were conducted in single-center settings (71.4%, 50/70), with temporal validation being the most common type (67.1%, 47/70). The majority of models were presented as nomograms, though some studies had methodological issues in validation.Conclusions:In recent years, new prediction models for specific diseases or endpoints have continued to emerge from nursing research in China, yet few have undergone external validation for clinical application, and the quality and methods of validation require improvement. Future researchers should standardize and strengthen the external validation and optimization of risk prediction models, focusing on clinical applicability to enhance the practical value of these models.