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http://dx.doi.org/10.1177/1542305018784542 | DOI Listing |
BMC Nurs
January 2025
Department of Healthcare Management Research Center, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8677, Japan.
Aim: This study aimed to explore the emotions of operating room nurses in Japan towards perioperative nursing using generative AI and human analysis, and to identify factors contributing to burnout and turnover.
Methods: A single-center cross-sectional study was conducted from February 2023 to February 2024, involving semi-structured interviews with 10 operating room nurses from a national hospital in Japan. Interview transcripts were analyzed using generative AI (ChatGPT-4o) and human researchers for thematic, emotional, and subjectivity analysis.
BMC Public Health
January 2025
Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, Taiwan.
Background: Hepatitis B virus (HBV) surface antigen (HBsAg) seroprevalence was high before the national vaccine policy was introduced in Taiwan, indicating significant HBV infection rates. The success of the HBV immunization program and other preventive measures likely led to decreased HBsAg prevalence among pregnant women. This study reports on the HBV seroprevalence among pregnant women in Taiwan from 2016 to 2021, including those potentially affected by the universal hepatitis B vaccination at birth.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Dean RARE/ORIC, Islamic International Medical College, RIPHAH university, Rawalpindi, Pakistan.
Background: The professional development of faculty members is essential for improving the quality of education. Faculty development programs play a very vital role in continued professional development of faculty. Reflective Critique writing is an important tool for evaluation of faculty development programs, as it provides opportunities for self-reflection, self-critique and self-awareness.
View Article and Find Full Text PDFAnn Surg Oncol
January 2025
Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Quantifying cognitive potential relies on psychometric measures that do not directly reflect cortical activity. While the relationship between cognitive ability and resting state EEG signal dynamics has been extensively studied in children with below-average cognitive performances, there remains a paucity of research focusing on individuals with normal to above-average cognitive functioning. This study aimed to elucidate the resting EEG dynamics in children aged four to 12 years across normal to above-average cognitive potential.
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