Background: Time-based training models in plastic surgery vary in exposure, resulting in low confidence levels among graduates. The evolution of postgraduate medical education into a competency-based model to address these issues requires an understanding of interventions described in the plastic surgery literature to identify gaps and guide creation of assessments to demonstrate competence.
Methods: A systematic search of the MEDLINE, Embase, Cumulative Index to Nursing and Allied Health Literature, PubMed, and Cochrane databases from inception until December of 2017 was conducted using search terms and synonyms of educational interventions reported in plastic surgery. Full texts were retrieved following filtering and data extracted were related to intervention design and execution, involvement of competency assessment, and educational objectives and alignment to Accreditation Council for Graduate Medical Education competencies and Royal College of Physicians and Surgeons of Canada Canadian Medical Education Directives for Specialists roles. Study quality was assessed using Kirkpatrick's levels of learning evaluation, validity evidence, and the Medical Education Research Study Quality Instrument score.
Results: Of the initial 4307 results, only 36 interventions met the inclusion criteria. Almost all interventions aligned to medical knowledge and patient care Accreditation Council for Graduate Medical Education competencies. One-fifth of the interventions involved no assessment of competency, whereas most displayed assessment at the level of design as opposed to outcomes. Quality assessment revealed low levels of learning evaluation and evidence of validity; the average Medical Education Research Study Quality Instrument score was 10.9 of 18.
Conclusion: A systematic review of educational literature in plastic surgery was conducted to assess the quality of reported educational interventions, and to help guide creating tools that ensure competency acquirement among trainees.
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http://dx.doi.org/10.1097/PRS.0000000000008059 | DOI Listing |
Interact J Med Res
January 2025
Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: Incorporating artificial intelligence (AI) into medical education has gained significant attention for its potential to enhance teaching and learning outcomes. However, it lacks a comprehensive study depicting the academic performance and status of AI in the medical education domain.
Objective: This study aims to analyze the social patterns, productive contributors, knowledge structure, and clusters since the 21st century.
JMIR Med Educ
January 2025
College of Medicine, Alfaisal University, Takhasussi street, Riyadh, 11533, Saudi Arabia, 966 559441589.
Background: There has been a rise in the popularity of ChatGPT and other chat-based artificial intelligence (AI) apps in medical education. Despite data being available from other parts of the world, there is a significant lack of information on this topic in medical education and research, particularly in Saudi Arabia.
Objective: The primary objective of the study was to examine the familiarity, usage patterns, and attitudes of Alfaisal University medical students toward ChatGPT and other chat-based AI apps in medical education.
J Glob Health
January 2025
Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Background: The prevalence of antibiotic prescribing among total prescriptions, the percentage of combined antibiotic prescribing among prescriptions containing at least one antibiotic, and factors influencing hospital antibiotic prescribing are currently unknown. In this systematic review, we aimed to summarise antibiotic prescribing in hospitals worldwide and identify the associated factors.
Methods: We searched PubMed/MEDLINE, Ovid/Embase, and the Web of Science for articles published between 1 January 2000 and 28 February 2023 that reported antibiotic prescribing in hospitals or the associated factors.
J Glob Health
January 2025
Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Background: Psychological distress, such as depression and anxiety, impacts cardiovascular disease (CVD) prognosis and management. Illness comprehension is essential for effective treatment, but biases can lead to suboptimal outcomes. We explored psycho-cardiovascular disease (PCD) patient characteristics, with a specific focus on comprehension biases and treatment choices from patients' perspectives in China, to improve management strategies.
View Article and Find Full Text PDFNurse Educ
January 2025
Author Affiliations: Arizona State University Edson College of Nursing and Health Innovation, Phoenix, Arizona (Dr Heywood); Wichita State University School of Nursing, Wichita, Kansas (Dr Williams); Southern New Hampshire University Nursing and Health Professions Department, Manchester, New Hampshire (Dr Blackwell); Bemidji State University Department of Nursing, Bemidji, Minnesota (Dr Hommes); University of Mississippi Medical Center School of Nursing, Jackson, Mississippi (Professor Franklin); and Boise State University School of Nursing, Boise, Idaho (Dr Nichols).
Background: The recent American Association of Colleges of Nursing (AACN) Essentials revision emphasizes direct clinical experiences across 4 spheres of care in RN-Baccalaureate (RN-B) education, creating challenges for online, asynchronous programs. Differentiating between prelicensure and postlicensure education complicates the integration of these requirements. Understanding RN-B faculty needs is critical for curricular transformation.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!