Quality strategies, interventions, and frameworks have been developed to facilitate a better understanding of healthcare systems. Reporting adverse events is one of these strategies. Gynaecology and obstetrics are one of the specialties with many adverse events. To understand the main causes of medical errors in gynaecology and obstetrics and how they could be prevented, we conducted this systematic review. This systematic review was performed in compliance with the Prisma 2020 guidelines. We searched several databases for relevant studies (Jan 2010-May 2023). Studies were included if they indicated the presence of any potential risk factor at the hospital level for medical errors or adverse events in gynaecology or obstetrics. We included 26 articles in the quantitative analysis of this review. Most of these ( = 12) are cross-sectional studies; eight are case-control studies, and six are cohort studies. One of the most frequently reported contributing factors is delay in healthcare. In addition, the availability of products and trained staff, team training, and communication are often reported to contribute to near-misses/maternal deaths. All risk factors that were found in our review imply several categories of contributing factors regarding: (1) delay of care, (2) coordination and management of care, and (3) scarcity of supply, personnel, and knowledge.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253036 | PMC |
http://dx.doi.org/10.3390/healthcare11111636 | DOI Listing |
BMC Nurs
January 2025
Department of Nursing, Faculty of Nursing and Midwifery, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Background: Compassion Competence and the ability to strive to understand the suffering of patients in psychiatric ward is essential for nurses to establish effective therapeutic communication in the process of their recovery. Patient Safety Competency is of great importance for nurses to prevent adverse events and minimize errors. This study aimed to investigate the relationship between Compassion Competence and Patient Safety Competency in nurses working in psychiatric wards of Shiraz University of Medical Sciences affiliated hospitals in 2024.
View Article and Find Full Text PDFCerebellum
January 2025
Center for Language and Cognition, University of Groningen, PO box 716, 9700 AS, Groningen, the Netherlands.
Pediatric cerebellar tumor survivors may present with spontaneous language impairments following treatment, but the nature of these impairments is still largely unclear. A recent study by Svaldi et al. (Cerebellum.
View Article and Find Full Text PDFBMJ Open Gastroenterol
January 2025
Histopathology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Objective: Artificial intelligence (AI) tools for histological diagnosis offer great potential to healthcare, yet failure to understand their clinical context is delaying adoption. IGUANA (Interpretable Gland-Graphs using a Neural Aggregator) is an AI algorithm that can effectively classify colonic biopsies into normal versus abnormal categories, designed to automatically report normal cases. We performed a retrospective pathological and clinical review of the errors made by IGUANA.
View Article and Find Full Text PDFJ Dermatolog Treat
December 2025
Department of Dermatology, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, P.R. China.
Aim: Verruca vulgaris is a common skin disease among children. Foreign object mimicking a wart is unusual.
Methods: A report of a 6-year-old boy with foreign object misdiagnosed as verruca vulgaris.
BMC Infect Dis
January 2025
University of California, San Francisco, San Francisco, CA, USA.
Background: Point-of-care HIV viral load testing may enhance patient care and improve HIV health services. We aimed to evaluate the feasibility and acceptability of implementing such testing in a high-volume community sexual health clinic in the United States.
Methods: We conducted a cross-sectional, mixed-methods study.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!