Objective: This study assesses the attitudes (willingness) and preparedness of non-frontline physicians across different specialties in the Kingdom of Saudi Arabia (KSA) toward the management of hospitalized coronavirus disease (COVID-19) patients.
Methods: This cross-sectional study conducted between April 15, 2020, and May 5, 2020, included 6209 physicians working in KSA. An electronic questionnaire was designed and validated for the assessment of 3 categorical outcome variables, namely, attitudes, confidence, and knowledge levels. Pearson's chi-square test was used for comparing the distribution of the proportions of these 3 categorical variables.
Results: Most participants (63.2%) were willing and prepared to treat COVID-19 patients. A significantly large proportion of participants specializing in anesthesiology (78.2%) had higher knowledge levels, followed by those from plastic surgery (71.1%), pediatrics (69.7%), and obstetrics and gynecology (69.1%) ( < 0.0001). Lower confidence levels were found for airway management skills (38.1%), particularly among dermatologists and radiologists.
Conclusion: Higher knowledge levels about personal protective equipment (PPE) use and confidence in airway management skills were proportionally related to the level of willingness to participate in COVID-19 patient management. There is an urgent need to train doctors from certain specialties on PPE use and airway management to enable their frontline support of severely ill COVID-19 patients.
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http://dx.doi.org/10.1017/dmp.2021.10 | DOI Listing |
BMC Res Notes
January 2025
Department of Epidemiology and Disease Control, School of Public Health, University of Ghana, Accra, Ghana.
Background: This study evaluated Health Care Workers' (HCWs) knowledge, attitude, perceived compliance, and potential influencing factors related to Infection Prevention and Control (IPC) standards in the North Bank East region of The Gambia.
Method: The study was an analytic cross-sectional study, conducted in 2021 using a multistage sampling technique. Thirteen health facilities were sampled from the North Bank East Region of The Gambia.
BMC Psychol
January 2025
Department of Education Leadership and Management, Faculty of Education, University of Johannesburg, Johannesburg, South Africa.
Background: Concerns about leadership style and job achievement are global priorities. Most previous investigations have concentrated on one or two of the variables rather than on the sociodemographic characteristics. To properly understand the impact of leadership styles on teacher performance, it is critical to grasp the sociodemographic characteristicsvia a holistic approach to rethinking and improving the existing level.
View Article and Find Full Text PDFEnviron Evid
January 2025
Modelling, Evidence and Policy RG, SNES, Newcastle University, Newcastle, NE1 7RU, UK.
Background: Riparian zones are vital transitional habitats that bridge the gap between terrestrial and aquatic ecosystems. They support elevated levels of biodiversity and provide an array of important regulatory and provisioning ecosystem services, of which, many are fundamentally important to human well-being, such as the maintenance of water quality and the mitigation of flood risk along waterways. Increasing anthropogenic pressures resulting from agricultural intensification, industry development and the expansion of infrastructure in tropical regions have led to the widespread degradation of riparian habitats resulting in biodiversity loss and decreased resilience to flooding and erosion.
View Article and Find Full Text PDFBMC Geriatr
January 2025
IRCCS - INRCA National Institute of Health & Science on Aging, Centre for Socio-Economic Research on Aging, Ancona, Italy.
Background: Loneliness and social isolation can occur at any stage of life, but some predictors may be more common among older adults. Due to growing population ageing, loneliness and social isolation are relevant social issues. Many studies apply the main definitions of loneliness and social isolation offered by the literature without considering how individual representations, socio-cultural context and the culture of care may influence their perception.
View Article and Find Full Text PDFNat Cancer
January 2025
Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany.
Despite advances in precision oncology, clinical decision-making still relies on limited variables and expert knowledge. To address this limitation, we combined multimodal real-world data and explainable artificial intelligence (xAI) to introduce AI-derived (AID) markers for clinical decision support. We used xAI to decode the outcome of 15,726 patients across 38 solid cancer entities based on 350 markers, including clinical records, image-derived body compositions, and mutational tumor profiles.
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