The study aimed at analyzing socio-demographic and working characteristics of nurses from public hospitals. It was carried out a cross-sectional study, involving 3.229 nurses from the eighteen largest public hospitals of the city of Rio de Janeiro. It was observed a feminine predominance (87.3%), with mean age of 39.9 ± 10 years. Around 7% referred having master or doctorate degree, 58.5% got their degree from public institutions and 24.5% used to work at the health sector before becoming nurses. Half the group has thought of abandoning their career, and almost a quarter is unsatisfied with their profession. Around 10% searched for a job outside nursing area in the previous month and 30% searched for a job in the same working area. Night work, engagement in more than one job and long professional work hours were more frequently found among men. The study has pointed challengeable aspects of nurses' profession. Results can subsidize support strategies to improve the working conditions in public hospitals due to their comprehensiveness.
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http://dx.doi.org/10.1590/s0034-71672013000700019 | DOI Listing |
BMC Health Serv Res
January 2025
Department of Biological Sciences, Faculty of Science, Kyambogo University, Kampala, Uganda.
Background: A key concern for global public health is nosocomial infections. Essential to the fight against nosocomial infection, is healthcare professionals' knowledge and attitudes. Therefore, this study investigated healthcare professionals' knowledge and attitudes toward nosocomial infection at the Kiruddu Referral Hospital, Kampala, Uganda.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Department of Nursing Management, Florence Nightingale Faculty of Nursing, Istanbul University-Cerrahpaşa, Istanbul, Türkiye.
Purpose: This research aimed to determine the relationship between work intensification and occupational fatigue in nurses using a cross-sectional and correlational design.
Methods: The sample included 597 nurses from public, private, and university hospitals in Istanbul, selected through convenience sampling. Data were collected using the "Nurse Information Form," the "Intensification of Job Demands Scale," and the "Occupational Fatigue Exhaustion/Recovery Scale.
One Health Outlook
January 2025
Medical Virology Unit, Faculty of Basic Medical and Applied Sciences, Lead City University and Primary Health Care Board, Ibadan, Oyo State, Nigeria.
Background: Dengue fever (DF) poses a growing global threat, necessitating a comprehensive one-health approach to address its complex interplay between human, animal, and environmental factors. In Oyo State, Nigeria, the true burden of DF remains unknown due to underdiagnosis and misdiagnosis as malaria, exacerbated by poor health-seeking behavior, weak surveillance systems, and inadequate health infrastructure. Adopting a one-health approach is crucial to understanding the dynamics of DF transmission.
View Article and Find Full Text PDFOrphanet J Rare Dis
January 2025
Laboratory of Neurogenetics and Molecular Medicine, Center for Genomic Sciences in Medicine, Institut de Recerca Sant Joan de Déu, Únicas SJD Center, Hospital Sant Joan de Déu, Barcelona, Spain.
Background: Rare diseases (RDs) are a heterogeneous group of complex and low-prevalence conditions in which the time to establish a definitive diagnosis is often too long. In addition, for most RDs, few to no treatments are available and it is often difficult to find a specialized care team.
Objectives: The project "acERca las enfermedades raras" (in English: "bringing RDs closer") is an initiative primary designed to generate a consensus by a multidisciplinary group of experts to detect the strengths and weaknesses in the public healthcare system concerning the comprehensive care of persons living with a RD (PLWRD) in the region of Catalonia, Spain, where a Network of Clinical Expert Units (Xarxa d'Unitats de Expertesa Clínica or XUEC) was created and is being implemented since 2015.
Background: Drivers of COVID-19 severity are multifactorial and include multidimensional and potentially interacting factors encompassing viral determinants and host-related factors (i.e., demographics, pre-existing conditions and/or genetics), thus complicating the prediction of clinical outcomes for different severe acute respiratory syndrome coronavirus (SARS-CoV-2) variants.
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