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Defining the contribution of human error to adverse events in a surgical service.
S Afr J Surg
December 2024
Department of Surgery, University of KwaZulu-Natal, South Africa.
Background: This study aimed to assess the contribution of human error to adverse events over 10 years in a single surgical department in South Africa.
Methods: A retrospective database analysis was undertaken to identify all adverse events, which were further assessed to identify which were error-associated.
Results: A total of 14 237 adverse events occurred between December 2012 and January 2023, of which 7 504 (52.
[Factors associated with the acceptability of mobile digital payments among health workers in the Koumpentoum Health District Senegal in 2023].
Pan Afr Med J
January 2025
Institut de la Santé et du Développement, Université Cheikh Anta DIOP de Dakar, Dakar, Sénégal.
Introduction: digitising health worker payments could improve their well-being, that of users of health service points and the performance of the health system. The purpose of this study was to identify factors associated with the acceptability of mobile payments among health workers in the Koumpentoum health district.
Methods: we conducted a cross-sectional, descriptive and analytical study in the Koumpentoum health district, in eastern Senegal, in January 2023.
Performance and validation of a digital memory test across the Alzheimer's disease continuum.
Brain Commun
January 2025
Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Digital cognitive testing using online platforms has emerged as a potentially transformative tool in clinical neuroscience. In theory, it could provide a powerful means of screening for and tracking cognitive performance in people at risk of developing conditions such as Alzheimer's disease. Here we investigate whether digital metrics derived from an in-person administered, tablet-based short-term memory task-the 'What was where?' Oxford Memory Task-were able to clinically stratify patients at different points within the Alzheimer's disease continuum and to track disease progression over time.
View Article and Find Full Text PDFThe Association Between Occupational Smoke Exposures and the Prevalence of Eye and Respiratory Health Conditions Among Commercial Fish Smokers in Abuesi, Ghana: A Cross-Sectional Self-Reported Study.
Environ Health Insights
January 2025
Department of Chemistry, School of Physical Sciences, University of Cape Coast, Cape Coast, Ghana.
Biomass smoke exposure represents a critical health concern, especially for those in occupational settings such as fish smoking. While substantial research has addressed indoor air pollution from domestic cooking, the specific risks faced by fish smokers have received insufficient attention. This study sheds light on the alarming relationship between smoke exposure and health issues among commercial fish smokers in Abuesi, Ghana.
View Article and Find Full Text PDFInsights into the specific capacitance of CNT-based supercapacitor electrodes using artificial intelligence.
RSC Adv
January 2025
Department of Chemistry, College of Science, King Saud University P.O. Box 2455 Riyadh 11451 Saudi Arabia.
In this study, the specific capacitance characteristics of a carbon nanotube (CNT) supercapacitor was predicted using different machine learning algorithms, such as artificial neural network (ANN), random forest regression (RFR), -nearest neighbors regression (KNN), and decision tree regression (DTR), based on experimental studies. The results of the simulation verified the accuracy of the ANN algorithm with respect to the data derived from the specific capacitance of the supercapacitor module. It was observed that there was a strong correlation between the experimental results and the predictions made by the ANN algorithm.
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