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We report the development and assessment of a novel coding framework in the context of research into neonatal end-of-life decision making conversations. Data comprised 27 formal conversations between doctors and parents of critically ill babies, recorded in two neonatal intensive care units. The coding framework was developed from a qualitative analysis of the recordings using the method of conversation analysis (CA). Codes underpinned by our qualitative analysis had in the main moderate to strong agreement (inter-rater reliability) between coders; three codes had lower agreement reflecting the use of euphemisms for death and disability. Coding these interactions confirmed the significance of the doctors' talk in terms of parental involvement in decision-making, whilst highlighting areas warranting further qualitative analysis. This quantifiable representation provides a novel outcome based on evidence that is internal to the conversation rather than influenced by other factors related to the baby's care or outcome.
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http://dx.doi.org/10.1080/10410236.2022.2059800 | DOI Listing |
J Med Internet Res
September 2025
Department of Community Medicine, Faculty of Health, UiT The Arctic University of Norway, Tromsø, Norway.
Background: The ability to access and evaluate online health information is essential for young adults to manage their physical and mental well-being. With the growing integration of the internet, mobile technology, and social media, young adults (aged 18-30 years) are increasingly turning to digital platforms for health-related content. Despite this trend, there remains a lack of systematic insights into their specific behaviors, preferences, and needs when seeking health information online.
View Article and Find Full Text PDFPLOS Glob Public Health
September 2025
Department of Child, Family, and Population Health Nursing, School of Nursing, University of Washington, Seattle, Washington, United States of America.
Cervical cancer continues to be a major global threat to women's health, with approximately 660,000 women diagnosed annually, 94% of whom are in low- and middle-income countries (LMICs). The high disease burden in LMICs is partly due to suboptimal adoption and widespread implementation of effective preventive interventions. This study explored drivers of implementation success and failure for a future single-visit, screen, and treat approach with thermal ablation (SV-SAT + TA), referred to as TIBA in Kenya.
View Article and Find Full Text PDFPLoS One
September 2025
Wake Forest University School of Medicine, Department of Implementation Science, Winston-Salem, North Carolina, United States of America.
Background: Hepatitis C virus (HCV) and injection drug use among young women are dramatically rising in the rural United States. From 2004 to 2017, heroin use among non-pregnant women increased 22.4% biennially, mirroring increases in HCV cases, especially among younger populations.
View Article and Find Full Text PDFAnn Biomed Eng
September 2025
Department of Midwifery, Faculty of Health Sciences, Sakarya University, 54100, Sakarya, Turkey.
The incorporation of AI-supported language models into the healthcare sector holds significant potential to revolutionize nursing education, research, and clinical practice. Within this framework, ChatGPT has emerged as a valuable tool for personalizing educational materials, enhancing academic productivity, expediting clinical decision-making processes, and optimizing research efficiency. In the realm of nursing education, ChatGPT offers numerous advantages, including the preparation of course content, facilitation of student assessments, and the development of simulation-based learning environments.
View Article and Find Full Text PDFNeurosurgery
September 2025
Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Background And Objectives: Social determinants of health (SDOH) are key drivers of health inequities, shaping disparities in patient outcomes that must be addressed. This study examines the association between SDOH and suspected child abuse (SCA) in pediatric patients sustaining traumatic brain injury (TBI), leveraging newly proposed Centers for Disease Control and Prevention (CDC)/PLACES measures to identify the most contributing measure to SCA.
Methods: A retrospective review of our institutional database (2016-2023) identified pediatric TBI cases (18 years and younger) using International Classification of Diseases, 10th Revision codes based on a modified CDC framework.