The aim of this study was to examine past experiences related to the use of the complementary and alternative medicine (CAM) during the disease process by individuals diagnosed with COVID-19. Content analysis method was used for data analysis. The study consisted of 21 patients diagnosed with COVID-19, who applied to a family health center. The data were collected using an individual information form and a semistructured interview form consisting of open-ended questions. All interviews were recorded with audio recording and transcribed. Three main themes related to the use of CAM by COVID-19 patients and subthemes associated with these main themes were determined (1) while starting to use CAM; (2) experiences of CAM use; and (3) recommending CAM. During using the CAM methods, most of the participants were affected by their circle, they preferred the use of fruit/fruit juice containing vitamin C, they chose affordable and easily accessible methods, they found the methods they used useful, and recommended these methods to others. The CAM use of patients should be questioned in future studies related to COVID-19 by nurses. Nurses should inform patients with COVID-19 accurately about safety, efficacy, indications, and contraindications for CAM methods.
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http://dx.doi.org/10.1097/HNP.0000000000000591 | DOI Listing |
BMC Psychiatry
January 2025
Department of Anesthesiology and Intensive Care, University Hospital of Split, Split, Croatia.
Background: There is mixed evidence on the impact of the Coronavirus disease (COVID-19) pandemic on psychiatric hospital care for people with severe mental diseases, possibly due to regional differences. There is a significant gap in knowledge regarding the specific impact of the COVID-19 pandemic on mental health in Croatia, a country in South-Eastern Europe. Our study aimed to evaluate the number and characteristics of psychiatric hospitalizations in the year before and during the first year of the COVID-19 pandemic in a tertiary hospital in south Croatia.
View Article and Find Full Text PDFVisual attribution in medical imaging seeks to make evident the diagnostically-relevant components of a medical image, in contrast to the more common detection of diseased tissue deployed in standard machine vision pipelines (which are less straightforwardly interpretable/explainable to clinicians). We here present a novel generative visual attribution technique, one that leverages latent diffusion models in combination with domain-specific large language models, in order to generate normal counterparts of abnormal images. The discrepancy between the two hence gives rise to a mapping indicating the diagnostically-relevant image components.
View Article and Find Full Text PDFSci Rep
January 2025
Chemistry Department, Faculty of Science, Cairo University, Giza, 12613, Egypt.
Azithromycin (AM) is one of the prescribed drugs in pandemic medication treatment which has paid great attention. We developed in this study a simply modified carbon paste electrode (CPE) to detect AM using poly-threonine (PT). PT or similar polymers are used as carriers to enhance the delivery and effectiveness of AM.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Mathematical Modelling and Artificial Intelligence, National Aerospace University Kharkiv Aviation Institute, Kharkiv, Ukraine.
Objective: To identify the early predictors of a self-reported persistence of long COVID syndrome (LCS) at 12 months after hospitalisation and to propose the prognostic model of its development.
Design: A combined cross-sectional and prospective observational study.
Setting: A tertiary care hospital.
BMJ Open Qual
January 2025
Rectorate, University of Health Sciences, Phnom Penh, Cambodia.
Rapid antigen diagnostic tests (Ag-RDTs) that quickly and accurately identify SARS-CoV-2 are an essential part of the COVID-19 response, but multiple factors can affect the validity of Ag-RDTs results. In Cambodia, several commercial Ag-RDTs have become available since the COVID-19 outbreak, but quality control (QC) and external quality assurance (EQA) of these rapid tests have yet to be fully and systematically implemented. We collaborated with laboratory experts in Australia and piloted an EQA programme of the commonly used COVID-19 Ag-RDTs at the University of Health Sciences' MERIEUX Laboratory (Tier 1 site-responsible for the in-country receipt and distribution of QA material) and four other participating laboratories (Tier 2-healthcare facility based) between November 2021 and November 2022.
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