Privacy and confidentiality are considered a cornerstone in the practice of medical ethics. However, these notions may play out differently in the cultural context of Pakistan. In order to understand the perceptions and expectations of privacy and confidentiality, a cross-sectional mixed method study was undertaken in a tertiary care hospital in Karachi, Pakistan. While the subjects demonstrated unfamiliarity with the Western terms, majority of them also exhibited a high expectation for privacy (both informational and physical) and confidentiality. Patients appeared most comfortable with sharing private medical information with the primary physician, indicating the level of trust placed in the physician. Participants also showed high expectations for confidentiality, thus, even in a collectivist society, patients may not want their private information shared across the medical team and also among family members. The onus is, therefore, on healthcare professionals to assess patients' preferences and choices.
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http://dx.doi.org/10.47391/JPMA.888 | DOI Listing |
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.
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 PDFCureus
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.
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.
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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