Background: Congenital abnormalities and pregnancy losses due to the teratogenic effects of warfarin are prevalent among the South African population. These are potentially preventable if the challenges and barriers faced by at-risk women are understood and addressed effectively.
Objectives: To determine the practice, knowledge and attitudes regarding the teratogenic risks experienced by women administered warfarin.
Methods: A descriptive study was performed. Quantitative data were collected through a researcher-administered questionnaire. The target population comprised 101 women of reproductive age who received warfarin treatment and attended a single tertiary-level anticoagulation clinic.
Results: Patient-related challenges identified in this study are: language barriers, poor understanding of basic terminology and mathematics, poor contraceptive and family planning practices, lack of knowledge regarding the risks of warfarin in pregnancy and passive attitudes towards information attainment.
Conclusions: Interventions are necessary to address the challenges in such settings. These include increased awareness of the teratogenic potential of specific chronic medications among healthcare providers, patients and the public. Standardised management protocols for women of reproductive age initiated on teratogenic medications should be implemented, including contraceptive and family planning discussions at follow-up visits. Improvement of the counselling skills of healthcare providers and the availability of translators or healthcare providers fluent in local languages could assist in risk reduction.
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http://dx.doi.org/10.7196/SAMJ.2019.v109i6.13294 | DOI Listing |
JMIR Form Res
January 2025
Center for Management, University of Münster, Münster, Germany.
Background: Telemedicine is transforming health care by enabling remote diagnosis, consultation, and treatment. Despite rapid adoption during the COVID-19 pandemic, telemedicine uptake among health care professionals (HCPs) remains inconsistent due to perceived risks and lack of tailored policies. Existing studies focus on patient perspectives or general adoption factors, neglecting the complex interplay of contextual variables and trust constructs influencing HCPs' telemedicine adoption.
View Article and Find Full Text PDFPLoS One
January 2025
Nursing Department, Shanxi Mental Health Centre, Taiyuan, China.
Aim: To review the existing literature relating to nurse competence in safe medication management practices for biologics, identify evidence, and develop a competency framework to clarify the role of nurses in these practices.
Background: With the widespread use of biological agents in disease treatment, ensuring the safe and economical use of high-cost medicines is particularly important. Even though nurses are essential in patient care, detailed knowledge regarding their competence and role in the safe administration of biologics is lacking.
PLoS One
January 2025
Department of Oncology, Vejle Hospital, University Hospital of Southern Denmark, Odense, Denmark.
Background: Patients with severe mental illness experience serious inequity when facing cancer treatment. They are less likely to be referred for cancer treatment following recommended guidelines and have poorer cancer survival than patients without mental illness. Relevant specialties such as psychiatry and general practice are rarely involved, and the patient perspective is rarely represented in research in the field.
View Article and Find Full Text PDFPLoS One
January 2025
Maternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Australia.
Perinatal mental health disorders are a significant contributor to morbidity and mortality in childbearing women. The World Health Organization recommends all women be screened for mental health disorders postnatally and have diagnostic and management services available. There are, however, currently no global indicators in use which measure the status and progress of perinatal mental health.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Introduction: Benign and malignant myxoid soft tissue tumors have shared clinical, imaging, and histologic features that can make diagnosis challenging. The purpose of this study is comparison of the diagnostic performance of a radiomic based machine learning (ML) model to musculoskeletal radiologists.
Methods: Manual segmentation of 90 myxoid soft tissue tumors (45 myxomas and 45 myxofibrosarcomas) was performed on axial T1, and T2FS or STIR magnetic resonance imaging sequences.
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