Aim: This study describes and explores the influences in registered nurses' use of early warning scores to support clinical decisions in a hospital setting.
Design: A focussed ethnography allowed for the investigation of registered nurses' clinical practices in two wards in a Danish University Hospital. The study adhered to the 'Standards for Reporting Qualitative Research'.
Methods: Participant observation and ethnographic interviews were conducted from March 2019 to August 2019. Ten registered nurses were observed and interviewed, and four physicians were interviewed. Data were analysed using LeCompte and Schensul's ethnographic analysis.
Findings: The findings show the registered nurses' ambivalence towards the early warning score as a decision support system. Early warning score monitoring created a space for registered nurses to identify and initiate optimized care. However, when early warning scores contradicted registered nurses' clinical judgments, the latter were given priority in decisions even though elevated scores were not always accounted for in the situation. Moreover, we found unspoken expectations in the collaboration between physicians and registered nurses, which influenced the registered nurses' workloads and decisions regarding early warning scores.
Conclusion: Registered nurses' clinical judgment is essential to clinical decisions on the care and safety of patients if used combined with the early warning score. Interprofessional collaboration between registered nurses and physicians about the early warning score is challenged. Future research may address this challenge to explore how it should be operated as a collaboration tool.
Impact: The study adds knowledge to the evidence base of registered nurses' use of early warning score and the advantages and challenges associated with the use of these scoring systems. The study may provide valuable knowledge for the future development of policies or implementation strategies.
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http://dx.doi.org/10.1111/jan.15118 | DOI Listing |
Paediatr Perinat Epidemiol
January 2025
Department of Paediatrics: Child and Youth Health, School of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Cad Saude Publica
December 2024
Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brasil.
Syndromic surveillance using primary health care (PHC) data is a valuable tool for early outbreak detection, as demonstrated by the potential to identify COVID-19 outbreaks. However, the potential of such an early warning system in the post-COVID-19 era remains largely unexplored. We analyzed PHC encounter counter of respiratory complaints registered in the database of the Brazilian Unified National Health System from October 2022 to July 2023.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, South Korea.
Background: This study aimed to evaluate the predictive ability of two widely used early warning scoring systems, the Modified Early Warning Score (MEWS) and the National Early Warning Score (NEWS), for predicting stroke occurrence in hospitalized patients.
Methods: The study enrolled 5,474 patients admitted to the intensive care unit from the general ward using data from the Smart Clinical Data Warehouse (CDW). MEWS and NEWS were calculated based on vital signs and clinical parameters within four hours of stroke onset.
PLoS One
January 2025
Department of Clinical Laboratory Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Bacterial vaginosis (BV) is a prevalent cause of vaginal symptoms in women of reproductive age. With the widespread of heavy metal pollutants and their harmful function on women's immune and hormonal systems, it is necessary to explore the association between heavy metal exposure and BV. This study investigates the potential relationship between serum heavy metals and bacterial vaginosis in a cohort of American women.
View Article and Find Full Text PDFPLoS One
January 2025
China Energy Dadu River Hydropower Development Co., Ltd., Chengdu, China.
Early warning of geological hazards requires monitoring extreme weather conditions, such as heavy rainfall. Atmospheric circulation models are used for weather forecasting and climate simulation. As a critical physical process in atmospheric circulation models, the Zhang-McFarlane (ZM) deep convective physical parameterization scheme involves computationally intensive calculations that significantly impact the overall operational efficiency of the model.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!