Background: Relatively little is known about prescribing errors in general practice, or the factors associated with error.
Aim: To determine the prevalence and nature of prescribing and monitoring errors in general practices in England.
Design And Setting: Retrospective case-note review of unique medication items prescribed over a 12-month period to a 2% random sample of patients. Fifteen general practices across three primary care trusts in England.
Method: A total of 6048 unique prescription items prescribed over the previous 12 months for 1777 patients were examined. The data were analysed by mixed effects logistic regression. The main outcome measures were prevalence of prescribing and monitoring errors, and severity of errors, using validated definitions.
Results: Prescribing and/or monitoring errors were detected in 4.9% (296/6048) of all prescription items (95% confidence interval [CI] = 4.4% to 5.5%). The vast majority of errors were of mild to moderate severity, with 0.2% (11/6048) of items having a severe error. After adjusting for covariates, patient-related factors associated with an increased risk of prescribing and/or monitoring errors were: age <15 years (odds ratio [OR] = 1.87, 95% CI = 1.19 to 2.94, P = 0.006) or >64 years (OR = 1.68, 95% CI = 1.04 to 2.73, P = 0.035), and higher numbers of unique medication items prescribed (OR = 1.16, 95% CI = 1.12 to 1.19, P<0.001).
Conclusion: Prescribing and monitoring errors are common in English general practice, although severe errors are unusual. Many factors increase the risk of error. Having identified the most common and important errors, and the factors associated with these, strategies to prevent future errors should be developed, based on the study findings.
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http://dx.doi.org/10.3399/bjgp13X670679 | DOI Listing |
Sci Rep
January 2025
College of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang, 524088, China.
To address the problems of complex cloud features in satellite cloud maps, inaccurate typhoon localization, and poor target detection accuracy, this paper proposes a new typhoon localization algorithm, named TGE-YOLO. It is based on the YOLOv8n model with excellent high-low feature fusion capability and innovatively achieves the organic combination of feature fusion, computational efficiency, and localization accuracy. Firstly, the TFAM_Concat module is creatively designed in the neck network, which comprehensively utilizes the detailed information of shallow features and the semantic information of deeper features, enhancing the fusion ability of features at each layer.
View Article and Find Full Text PDFBMJ Open Qual
January 2025
Trauma & Orthopaedics, Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK.
Never events in the operating room are a surgeon's nightmare, with an incidence rate of 54%. These events are highly stressful for theatre staff and significantly compromise patient safety. The aim of this project is to avoid never events in trauma and orthopaedic theatres by ensuring that theatre staff adhere to the surgical pause and imaging pause protocols through regular audits.
View Article and Find Full Text PDFInt J Sports Physiol Perform
January 2025
Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada.
Purpose: Maximal muscle strength is often assessed with single-joint or repetition-maximum testing. The purpose of this study was to evaluate the reliability of countermovement-jump (CMJ) velocity-load testing and assess the relationship between CMJ velocity-load kinetics and concentric-isometric-eccentric multijoint leg-extension strength tested on a robotic servomotor leg press in trained athletes.
Methods: University athletes (N = 203; 52% female) completed 3 concentric, isometric, and eccentric maximum voluntary leg-extension contractions on the robotic leg press, followed by CMJ velocity-load testing with an additional external load of 0% (CMJBW), 30% (CMJ30), and 60% (CMJ60) of body mass.
PLoS One
January 2025
Science and Technology Innovation Team of Shandong Provincial Department of Natural Resources, Shandong Institute of Land Spatial Data and Remote Sensing Technology, Jinan, China.
The increasing population density and impervious surface area have exacerbated the urban heat island effect, posing significant challenges to urban environments and sustainable development. Urban spatial morphology is crucial in mitigating the urban heat island effect. This study investigated the impact of urban spatial morphology on land surface temperature (LST) at the township scale.
View Article and Find Full Text PDFFront Sports Act Living
January 2025
Graduate School of Health and Sports Science, Juntendo University, Inzai, Japan.
Introduction: Marathon running has become increasingly popular among amateur athletes, many of whom maintain speeds of 8-9 km/h. However, existing methods for estimating oxygen consumption (VO) during running and walking-such as the American College of Sports Medicine (ACSM) equations and commercial activity monitors-often lack accuracy and transparency. This study introduces the Hata-Yanagiya Physical Activity Calculation (HYPAC) system, a novel approach for estimating VO using Global Positioning System (GPS) and map data.
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