Search

Abstract Background The shortage of nurses has been a global human resources problem. A good professional growth environment is essential to developing potential nursing students and attracting nurses to join, and it has great significance in reducing nurse turnover. However, nurses’ comprehensive perceptions of professional growth have not yet been examined. Methods A cluster sampling method was used to conduct a professional growth questionnaire survey on young nursing talents from a large Chinese public tertiary A hospital in March 2022. Results The score of professional growth among 243 young nursing talents was 57.92 ± 9.607, with a scoring rate of 77.23%. The scores for dimensions of professional growth, from lowest to highest, were rehabilitation growth, promotion speed, professional goal progress, and professional ability development. Attitudes towards participating in training, service as the quality manager or clinical teacher, self-efficacy, professional title, work-family support, education, and organizational commitment of young nursing talents were significantly associated with professional growth. Conclusion The professional growth of young nursing talents was at a moderate level and needed to be strengthened. Nursing leaders and managers are expected to develop management practices to enhance young nursing talents’ professional growth in combination with the related factors.

Objective: This study aimed to investigate the level and influencing factors of nurses’ antimicrobial stewardship (AMS) engagement in China based on the capability, opportunity, motivation, and behavior (COM-B) theory, providing valuable insights for developing effective strategies to improve nursing quality in AMS. Methods: This cross-sectional study was conducted in 17 tertiary hospitals in Hunan, China, from November 2021 to January 2022. A total of 4,514 nurses were selected. The Nurse AMS Engagement Questionnaire (NAEQ), developed using the COM-B theory, was used for evaluation. The questionnaire included capability (14 items), opportunity (7 items), motivation (6 items), and behavior (12 items) four dimensions, 39 items. Results: The total NAEQ score was 155.08 ± 27.12, indicating a moderate level. The score of the capability, opportunity, motivation, and behavior dimensions were 52.33 ± 13.48, 28.64 ± 5.76, 24.57 ± 4.57 and 49.53 ± 8.83, respectively. Significant differences in nurses’ AMS engagement were based on professional titles, whether working as a part-time infection control nurse, whether knowing the AMS teams and the defined daily doses of antibiotics, department type, the deployment of clinical pharmacists, and frequency of antimicrobial training and physician-nurse joint rounds (P

Objective: In intensive care units (ICU), frequent false alarms from medical equipment can cause alarm fatigue among nurses, which might lead to delayed or missed responses and increased risk of adverse patient events. This review was conducted to evaluate the effectiveness of intelligent management interventions to reduce false alarms in ICU. Method: Following the framework of Whitmore and Knafl, the reviewers systematically searched six databases: PubMed, EMBASE, CINAHL, OVID, Cochrane Library, and Scopus, and studies included intelligent management of clinical alarms published in the English or Chinese language from the inception of each database to December 2022 were retrieved. The researchers used the PICOS framework to formulate the search strategy, developed keywords, screened literature, and assessed the studies’ quality using the Joanna Briggs Institute-Meta-Analysis of Statistics, Assessment, and Review Instrument (JBI-MAStARI). The review was preregistered on PROSPERO (CRD42023411552). Results: Seven studies met the inclusion criteria. The results showed that different interventions for intelligent management of alarms were beneficial in reducing the number of false alarms, the duration of alarms, the response time to important alarms for nurses, and the alarm fatigue levels among nurses. Positive results were found in practice after the application of the novel alarm management approaches. Conclusion: Intelligent management intervention may be an effective way to reduce false alarms. The application of systems or tools for the intelligent management of clinical alarms is urgent in hospitals. To ensure more effective patient monitoring and less distress for nurses, more alarm management approaches combined with artificial intelligence will be needed in the future to enable accurate identification of critical alarms, ensure nurses are responding accurately to alarms, and make a real difference to alarm-ridden healthcare environments.