公民新闻
集体主义
转化式学习
卫生公平
医疗保健
医学教育
健康的社会决定因素
心理学
社会学
个人主义
医学
公共关系
知识管理
教育学
护理部
政治学
公共卫生
计算机科学
法学
出处
期刊:Academic Medicine
[Ovid Technologies (Wolters Kluwer)]
日期:2016-09-07
卷期号:92 (4): 468-474
被引量:33
标识
DOI:10.1097/acm.0000000000001382
摘要
Many health professions education programs in high-income countries (HICs) have adopted a competency-based approach to learning. Although global health programs have followed this trend, defining and assessing competencies has proven problematic, particularly in resource-constrained settings of low- and middle-income countries (LMICs) where HIC students and trainees perform elective work. In part, this is due to programs failing to take sufficient account of local learning, cultural, and health contexts. A major divide between HIC and LMIC settings is that the learning contexts of HICs are predominantly individualist, whereas those of LMICs are generally collectivist. Individualist cultures view learning as something that the individual acquires independent of context and can possess; collectivist cultures view learning as arising dynamically from specific contexts through group participation. To bridge the individualist–collectivist learning divide, the author proposes that competencies be classified as either acquired or participatory . Acquired competencies can be transferred across contexts and assessed using traditional psychometric approaches; participatory competencies are linked to contexts and require alternative assessment approaches. The author proposes assessing participatory competencies through the approach of self-directed assessment seeking, which includes multiple members of the health care team as assessors. The proposed classification of competencies as acquired or participatory may apply across health professions. The author suggests advancing participatory competencies through mental models of sharing. In global health education, the author recommends developing three new competency domains rooted in participatory learning, collectivism, and sharing: resourceful learning; transprofessionalism and transformative learning; and social justice and health equity.
科研通智能强力驱动
Strongly Powered by AbleSci AI