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Exploring barriers to accessing health care services by young women in rural settings: a qualitative study in Australia, Canada, and Sweden.
BMC Public Health
January 2025
Department of Health Sciences, Carleton University, 2305 Health Sciences Building, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada.
Background: The aim of this study is to explore young rural women's perceived barriers in accessing healthcare services with a focus on the interrelation between three marginalization criteria: age (youth), gender (female), and place of residence (rural areas) in Australia, Canada, and Sweden.
Methods: Using a qualitative interpretive approach, we conducted semi-structured in-depth interviews with 31 young women aged 18 to 24 in selected rural communities. Data collection took place from May 2019 to January 2021, and the qualitative data were analyzed using NVivo software.
Experiences and perceptions of respectful maternity care among mothers during childbirth in health facilities of Eastern province of Rwanda: An appreciative inquiry.
PLoS One
January 2025
School of Nursing and Midwifery, University of Rwanda, Kigali, Rwanda.
Introduction: The World Health Organization (WHO) has emphasized the importance of ensuring respectful and dignified childbirth experiences. However, many countries, including Rwanda, have documented negative experiences during childbirth. Identifying best practices can help uncover sustainable solutions for resource-limited settings rather than focusing solely on the challenges and negative aspects.
View Article and Find Full Text PDFExploring the Ethical Implications of ChatGPT in Medical Education: Privacy, Accuracy, and Professional Integrity in a Cross-Sectional Survey.
Cureus
December 2024
Medical Education, ABWA Medical College, Faisalabad, PAK.
Background: The inclusion of artificial intelligence in medical education, specifically through the use of ChatGPT (OpenAI, San Francisco, CA), has transformed learning and generated many ethical questions. This study aims to analyze the medical students' ethical concerns about using ChatGPT in medical education, focusing on privacy, accuracy, and professional integrity.
Methods: The study format was a cross-sectional survey distributed to 219 medical students at ABWA Medical College, Pakistan.
Empowering nurse leaders: readiness for AI integration and the perceived benefits of predictive analytics.
BMC Nurs
January 2025
Nursing Administration, Faculty of Nursing, Helwan University, Cairo, Egypt.
Introduction: Artificial Intelligence (AI) is increasingly being integrated into healthcare, particularly through predictive analytics that can enhance patient care and operational efficiency. Nursing leaders play a crucial role in the successful adoption of these technologies.
Aim: This study aims to assess the readiness of nursing leaders for AI integration and evaluate their perceptions of the benefits of AI-driven predictive analytics in healthcare.
Prevalence and determinants of restrictive lung disorder among quarry workers at the Umuoghara quarry site, Ebonyi State, Nigeria: a cross-sectional study.
BMC Pulm Med
January 2025
Institute of Public Health, University of Nigeria, Enugu, Nigeria.
Introduction: Respiratory disorders pose a serious health risk for quarry workers exposed to dust, as they are a leading source of morbidity and mortality globally, often resulting in irreversible lung conditions. This study assessed the prevalence and determinants of restrictive disorder among quarry workers in Umuoghara quarry site, Ebonyi State.
Methods: This study was done on quarry workers at the Umuoghara quarry site, Ebonyi State.
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