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Simulation-based training program effect on pediatric nurses' knowledge and performance regarding heel-prick during newborn blood screening test.
BMC Nurs
January 2025
Faculty of Applied Medical Sciences in Alnamas, University of Bisha, 255, Al Nakhil, Al-Namas, 67714, Saudi Arabia.
Background: One of the best ways to impart important skills to trainees is through simulation-based training, which is more reliable than the conventional clinical examination method. It is used in pediatric nursing training to allow nurses to practice and improve their clinical and conversational skills during an actual child encounter. A heel-prick is a complex psychomotor task that requires skill and knowledge from the pediatric nurse performing the procedure while applying for the National Newborn Screening Program.
View Article and Find Full Text PDFInvestigating impact of consulting midwives on maternal rights charter on perception of respectful maternity care and postpartum blues among postpartum women: a quasi-experimental study.
BMC Med Ethics
January 2025
Department of Midwifery, Nursing and Midwifery Faculty, Bushehr University of Medical Sciences, Bushehr, Iran.
Introduction: Despite the existing reports on mistreatment and disrespectful maternal care, few studies have investigated interventions to mitigate this issue. The present study aims to assess the impact of consulting midwives on maternal rights charter on perception of respectful maternity care and postpartum blues among postpartum women in two hospitals in southern Iran.
Methodology: This quasi-experimental study was conducted on 437 postpartum women (217 mothers before the intervention and 220 mothers after the intervention) and 44 midwives working in the maternity ward of two hospitals affiliated to Bushehr University of Medical Sciences in 2023-2024.
Game-thinking; utilizing serious games and gamification in nursing education - a systematic review and meta-analysis.
BMC Med Educ
January 2025
Institute of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway.
Background: The digital shift in higher education is moving from teacher-focused models to active learning with digital technologies, including the integration of game-based learning strategies. We aim to identify, assess, and summarize the findings of evidence and determine the effectiveness of game-thinking on learning outcomes in nursing education.
Methods: A comprehensive search for relevant literature was conducted between April and May 2022 Seven databases ERIC, Scopus, ProQuest Education Source, MEDLINE, CINAHL, Web of Science, and Embase were utilized to locate original, peer-reviewed papers published in English.
From dual nucleic acid co-extraction to co-sequencing: A highly integrated next-generation forensic DNA and RNA sequencing experimental workflow.
Forensic Sci Int Genet
January 2025
Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China; School of Forensic Medicine, Kunming Medical University, Kunming 650500, China. Electronic address:
DNA and RNA markers are significant in forensic practices, such as individual and body fluid identification. However, forensic DNA and RNA markers were separately analyzed in most forensic experiments, which resulted in large amounts of sample consumption, complex procedures, and weak inter-evidence correlation. While several integrated methods based on capillary electrophoresis and next-generation sequencing technologies were reported, integrated procedures were mostly on nucleic acid co-extraction, co-electrophoresis, or co-sequencing, and the number and type of markers co-tested were limited.
View Article and Find Full Text PDFCompositIA: an open-source automated quantification tool for body composition scores from thoraco-abdominal CT scans.
Eur Radiol Exp
January 2025
Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Background: Body composition scores allow for quantifying the volume and physical properties of specific tissues. However, their manual calculation is time-consuming and prone to human error. This study aims to develop and validate CompositIA, an automated, open-source pipeline for quantifying body composition scores from thoraco-abdominal computed tomography (CT) scans.
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