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Adherence to professional ethics in nursing is fundamental for high-quality ethical care. However, analysis of the use and impact of nurses' codes of ethics as a part of professional ethics is limited. To fill this gap in knowledge, the aim of our review was to describe the use and impact of the Code of Ethics for Nurses with Interpretive Statements published by the American Nurses Association as an example of one of the earliest and most extensive codes of ethics for nurses with their interpretative statements and constituting a strong basis for the International Council of Nurses' Code of Ethics for Nurses. We based our review on previous literature using a scoping review method. We included both non-scientific and scientific publications to provide an analysis of codes of ethics which can be utilized in development and revision of other nurses' codes of ethics. In the searches, we used CINAHL and PubMed databases limiting publications to texts with a connection to the Code of Ethics for Nurses published from January 2001 to November 2022 and written in English. Searches yielded 1739 references, from which 785 non-scientific and 71 scientific publications were included for analysis of the data. Although non-scientific and scientific publications addressed different number of categories, the results indicated that in the both groups the use and impact focused on professional ethics, nursing practice, and work environment and less on education, research, or social health issues. Nurses' ethical standards were not addressed in non-scientific publications, and clinical issues and leadership were not in focus in scientific publications. To increase evidence-based knowledge of the impact of codes of ethics additional research is needed. Good scientific conduct was followed.
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http://dx.doi.org/10.1177/09697330241230522 | DOI Listing |
Drugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
View Article and Find Full Text PDFInflamm Res
September 2025
Department of General Surgery, Beijing Anzhen Hospital, Capital Medical University, No.2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Background: The roles of long non-coding RNAs (lncRNAs) in the progression of various human tumors have been extensively studied. However, their specific mechanisms and therapeutic potential in Triple-Negative Breast Cancer (TNBC) remain to be fully elucidated.
Materials And Methods: The qRT-PCR assay was utilized to assess the relative mRNA levels of TFAP2A-AS1, PHGDH, and miR-6892.
Cureus
August 2025
Physiology, SGT University, Gurugram, IND.
Introduction Simulation-based training has been a vital part of medical education since Competency-Based Medical Education (CBME) was introduced, and new guidelines since 2023 have expanded to include simulation as a mandatory methodology of teaching. This method enables learners to build and develop both technical and non-technical abilities in a safe and controlled setting, enhancing their preparedness for real-life medical scenarios. Simulation-based training improves skill acquisition and retention and enhances learners' confidence, reduces anxiety, reinforces learning, corrects errors, and promotes reflective practice, in contrast with the traditional method of teaching.
View Article and Find Full Text PDFBMC Glob Public Health
September 2025
Connell School of Nursing, Boston College, Chestnut Hill, MA, USA.
Background: Sierra Leone has the world's third highest incidence of maternal mortality, with 443 deaths per 100,000 live births. Strengthening the country's midwifery workforce is essential to providing adequate maternal healthcare and reducing preventable perinatal mortality. In support of this goal, we developed and implemented a midwifery preceptor program (MPP) to train experienced midwives to effectively mentor new and student midwives.
View Article and Find Full Text PDFBMC Public Health
September 2025
Heidelberg Institute of Global Health, Heidelberg University, Bergheimer Str. 20, Zimmer 317, 69115, Heidelberg, Germany.
Background: People living in prison face exceptionally high prevalence rates of tooth decay, periodontal disease, and poor oral health-related quality of life. Despite its importance, various aspects of oral healthcare in prison settings remain understudied. The present study investigates the barriers and facilitators associated with providing and utilizing oral health services in prison settings, drawing on insights from prison health experts, managerial and custodial staff, healthcare providers, and individuals with lived experience of imprisonment.
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