Background: Use of social networking services (SNS) is on the rise. While many users sign in for personal purposes, it is not uncommon for professionals to connect over SNSs with clients, students, and patients.
Methods: The present study used an experimental approach to examine how medical doctors' SNS profiles impacted potential patients' impressions of professionalism. Participants (N=250 students) were randomly assigned to view one of six Facebook profiles. Profiles were populated with 1) solely professional material, 2) personal material that was strictly healthy, or 3) personal material that included unhealthy behavior. Profiles portrayed a male or female physician resulting in a total of six experimental conditions. Medical professionalism was measured with the First Impressions of Medical Professionalism (FIMP) scale, specifically developed for this study.
Results: There was a large and statistically significant main effect for profile type, F(2, 250)=54.77, p<0.001, ηp(2)=0.31. Post hoc tests indicated that personal profiles that contained healthy behavior were rated as most professional followed by profiles with strictly professional content. Personal unhealthy profiles were rated as least professional. Additionally, female profiles consistently received higher professionalism ratings across all three profile types [F(1, 250)=5.04, p=0.026, ηp(2)=0.02].
Conclusion: Our results suggest that a physician's SNS profile affects a patient's perception of that physician's medical professionalism. A personal, healthy profile may augment a patient's perception of that physician's character virtues if the profile content upholds the decorum of the medical field.
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http://dx.doi.org/10.3402/meo.v19.23149 | DOI Listing |
SAGE Open Med
January 2025
Department of Population Medicine, University of Guelph, Guelph, ON, Canada.
Background: Studies across the extant literature suggest that less-experienced healthcare workers are more likely to experience adverse outcomes such as burnout, sick leaves, or intend to leave the profession. Thus, one's readiness to practice is an important element that requires more attention. While extensive research exists on the readiness of certain professions like nurses, a notable gap remains concerning other healthcare workers.
View Article and Find Full Text PDFClin Teach
February 2025
Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, California, USA.
Background: The learning environment (LE) refers to the social interactions, organisational culture and physical spaces that shape learners' perceptions and learning. With numerous efforts to measure and improve it, there is still a lack of clearly identified, evidence-based interventions that impact the LE. Our aims were to design LE interventions and measure their effectiveness using a comparison of student responses on the Association of American Medical Colleges Graduation Questionnaire (AAMC GQ).
View Article and Find Full Text PDFPhysiol Meas
January 2025
Academy of Military Science of the People's Liberation Army, Beijing, 100073, CHINA.
Objective: Humanity faces many health challenges, among which respiratory diseases are one of the leading causes of human death. Existing AI-driven pre-diagnosis approaches can enhance the efficiency of diagnosis but still face challenges. For example, single-modal data suffer from information redundancy or loss, difficulty in learning relationships between features, and revealing the obscure characteristics of complex diseases.
View Article and Find Full Text PDFJ Racial Ethn Health Disparities
January 2025
Adam Smith Business, School University of Glasgow, 2 Discovery Place, G11 6EY, Glasgow, Scotland.
This study highlights how the intersection of multiple factors shapes the experiences of Scotland's Black, African, and Caribbean communities in their access and uptake of COVID-19 vaccines in the vaccination programme's first, second, and booster stages. There was particular interest in understanding the vaccination journey, from scheduling an appointment to attending the appointment. Data in this study was collected between the 1 and 30 April 2022 using a triangulated approach, including a survey (with 408 responses), interviews (26), and focus group discussions (5 groups involving 30 participants).
View Article and Find Full Text PDFMed Teach
January 2025
Department of Education, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Introduction: Medical professionalism education is of paramount importance to the development of medical careers and medical students. Currently, there is a need for more research in China on the integration of artificial intelligence (AI) and medical professionalism education.
Methods: For this study, we collected 44 written reflections from first-year postgraduate students of clinical medicine in China during the spring semester of 2024 on the prospect of applying AI in conjunction with medical professionalism education.
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