Objective: To ascertain the awareness level and demographic differences of the consequences of medical errors on patients' health, safety, resources and survival by healthcare professionals.
Methods: The descriptive study was conducted at five different public hospitals in Nigeria from August to October 2017, and comprised healthcare professionals who were permanent staff members. Awareness of medical errors questionnaire was used for data collection. Dimensions assessed were safety, health, resources and survival. A mean score of >2.50 was taken as a cut-off value for acceptable level of awareness. SPSS 20 was used for data analysis..
Results: Of the 200 participants initially enrolled, 186(93%) completed the questionnaire completely. Of them, 98(53%) were females, 92(49%) were aged 30 49 years, 98(53%) were staff nurses, 24(13%) were doctors and 64(34%) were healthcare assistants. Overall mean questionnaire score was 2.60±0.05, indicating that the participants were aware of the consequences of medical error on patients. In terms of individual dimensions, the scores were acceptable for safety, health and resources (>2.50) but the mean score on patients' survival was 2.34±0.08.
Conclusions: There appeared to be a need for the government to raise the awareness level for healthcare professionals regarding consequences of medical errors on patients in public hospitals.
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BMC Psychiatry
January 2025
Division of Epidemiology and Social Sciences, Institute for Health and Equity, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.
Background: During adolescence, a critical developmental phase, cognitive, psychological, and social states interact with the environment to influence behaviors like decision-making and social interactions. Depressive symptoms are more prevalent in adolescents than in other age groups which may affect socio-emotional and behavioral development including academic achievement. Here, we determined the association between depression symptom severity and behavioral impairment among adolescents enrolled in secondary schools of Eastern and Central Uganda.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Department of Health Policy and Management, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Family physician program is one of the effective reforms of the health system in Iran, but despite the implementation of this program in rural areas and the passage of ten years since its implementation in two provinces of Fars and Mazandaran, its implementation has faced problems. The aim of this study is to identify and prioritize implementation solutions related to the challenges of the family physician program in Iran.
Methods: This is a qualitative study using semi-structured interviews with 22 snowball-sampled experts and managers of basic health insurers to extract problems and executive solutions through coding and data analysis using Atlas Ti software and content analysis in the first stage.
Metabolomics
January 2025
Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Introduction: Preeclampsia (PE) is a common vascular pregnancy disorder affecting maternal and fetal metabolism with severe immediate and long-term consequences in mothers and infants. During pregnancy, metabolites in the maternal circulation pass through the placenta to the fetus. Meconium, a first stool of the neonate, offers a view to maternal and fetoplacental unit metabolism and could add to knowledge on the effects of PE on the fetus and newborn.
View Article and Find Full Text PDFSci Rep
January 2025
La Trobe Sport & Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, Australia.
Few studies have explored hip morphology and cartilage composition in female athletes or the impact of asymmetric repetitive loading, such as occurs during softball pitching. The current cross-sectional study assessed bilateral bony hip morphology on computed tomography imaging in collegiate-level softball pitchers ('Pitch1', n = 25) and cross-country runners ('Run', n = 13). Magnetic resonance imaging was used to assess cartilage relaxation times in a second cohort of pitchers ('Pitch2', n = 10) and non-athletic controls ('Con', n = 4).
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Engineering, Université de Moncton, Moncton, NB, E1A3E9, Canada.
Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification accuracies due to overfitting, underfitting, and data noise. This research employs parallel and sequential ensemble ML approaches paired with feature selection techniques to boost classification accuracy.
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