The Confidential Enquiry into Maternal and Child Health report published in 2008 recommended that there should be a standardised monitoring system with embedded early identification systems for children at risk of critical illness or deterioration. Recent studies have demonstrated improvement in patient outcomes following the implementation of paediatric early warning scores and response teams in children's units and hospitals. However, it is not enough to use an early warning score in isolation; it needs to be embedded into a paediatric early warning system, with a rationalised approach to the observation and monitoring of hospitalised children. Lessons can be learnt from the adult experience of implementing early warning systems. A national, multidisciplinary, collaborative approach to the development, implementation and evaluation of paediatric early warning systems is recommended.
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http://dx.doi.org/10.7748/paed2009.02.21.1.14.c6907 | DOI Listing |
J Glob Health
December 2024
Amsterdam UMC, location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, the Netherlands.
Background: Risk prediction tools for acutely ill children have been developed in high- and low-income settings, but few are validated or incorporated into clinical guidelines. We aimed to assess the performance of existing paediatric early warning scores for use in low- and middle-income countries using clinical data from a recent large multi-country study in Africa and South-Asia.
Methods: We used data (children across three nutritional strata) from the Childhood Acute Illness and Nutrition (CHAIN) Network cohort study (n = 3101).
J Vasc Access
January 2025
Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Background: The challenges posed by difficult intravenous access (DIVA) in clinical treatment are not only related to technical difficulties but also have the potential to affect the quality of patient care and overall experience. It is crucial to adopt effective strategies to address difficult intravenous access. Currently, the assessment of difficult veins largely relies on individual perception and experience, which introduces a significant degree of subjectivity.
View Article and Find Full Text PDFMalar J
January 2025
MIVEGEC, Univ. Montpellier, CNRS, IRD, Montpellier, France.
Background: The increasing availability of electronic health system data and remotely-sensed environmental variables has led to the emergence of statistical models capable of producing malaria forecasts. Many of these models have been operationalized into malaria early warning systems (MEWSs), which provide predictions of malaria dynamics several months in advance at national and regional levels. However, MEWSs rarely produce predictions at the village-level, the operational scale of community health systems and the first point of contact for the majority of rural populations in malaria-endemic countries.
View Article and Find Full Text PDFSci Rep
January 2025
College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, China.
Brucellosis is a significant global challenge, but there has been a lack of epidemiological studies on brucellosis in Xinjiang from a change point perspective. This study aims to bridge this gap by employing sequence decomposition and identifying significant change points, with datasets sourced from the Xinjiang Disease Prevention and Control Information System. This study employed the BEAST algorithm to decompose the brucellosis time series in Xinjiang from 2010 to 2023, while simultaneously identifying change points in the decomposed seasonal and trend components.
View Article and Find Full Text PDFSci Rep
January 2025
School of Mathematics and Statistics, Central South University, Changsha, 410083, China.
The coronavirus disease 2019 (COVID-19) interventions in interrupting transmission have paid heavy losses politically and economically. The Chinese government has replaced scaling up testing with monitoring focus groups and randomly supervising sampling, encouraging scientific research on the COVID-19 transmission curve to be confirmed by constructing epidemiological models, which include statistical models, computer simulations, mathematical illustrations of the pathogen and its effects, and several other methodologies. Although predicting and forecasting the propagation of COVID-19 are valuable, they nevertheless present an enormous challenge.
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