Yunting Liu, Yanlin Jiang, Andrew D Dallas, Mirela Bruza-Augatis
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To quantify the level of active usage, knowledge subdomains were classified into three categories for each medical specialty: dominant, relevant and distant, ranging from the most frequently used to the least used knowledge, which was verified by four independent board-certified PAs with clinical and educational experience. To test the hypothesis, Latent transition analysis (LTA) is used to measure the probability of transitions among behavioral patterns over time, in particular how various levels of transition probabilities (e.g., probability from proficient switching to non-proficient) are related to the frequency of use. We found that the trends of knowledge decline are influenced by practice profile (medical specialty), mainly, knowledge active in daily use (i.e., dominant knowledge) over time- the less frequent the knowledge is used, the more likely the knowledge decline will take place. In particular, compared to dominant knowledge (i.e., most frequently used knowledge), relevant knowledge (i.e., mediumly frequent used knowledge) and distant knowledge (i.e., rarely used knowledge) are more likely to decline (OR = 2.31, CI = [1.82, 2.94], p < 0.001; OR = 2.26, CI = [1.84, 2.78], p < 0.001). Moreover, dominant system knowledge has a better chance to improve over the years as compared to relevant and distant system knowledge (OR = 2.19, CI = [1.71, 2.81], p < 0.001; OR = 2.12, CI = [1.72, 2.65], p < 0.001). Instead of a uniform knowledge decay, medical practitioners suffer from a differential likelihood of knowledge decay over different systems knowledge. 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If so, the likelihood of a decline in knowledge is mediated by the closeness of the test content to the practitioners' daily practice. Data from Physician Assistants (PA) initial certification (PANCE) and re-certification (PANRE-LA, after 6 years) were used for the current study. To quantify the level of active usage, knowledge subdomains were classified into three categories for each medical specialty: dominant, relevant and distant, ranging from the most frequently used to the least used knowledge, which was verified by four independent board-certified PAs with clinical and educational experience. To test the hypothesis, Latent transition analysis (LTA) is used to measure the probability of transitions among behavioral patterns over time, in particular how various levels of transition probabilities (e.g., probability from proficient switching to non-proficient) are related to the frequency of use. 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引用次数: 0
摘要
本文详细分析了医师助理/助理医师初次认证后医学知识下降的原因,并提出了初步认证后能力评估的改进建议。我们假设下降是由于使用频率降低引起的;换句话说,知识的保留受到积极使用知识的影响。如果是这样,知识下降的可能性是由测试内容接近实践者的日常实践来调节的。本研究使用医师助理(PA)初始认证(PANCE)和6年后重新认证(PANRE-LA)的数据。为了量化积极使用的水平,每个医学专业将知识子域分为三类:主要的、相关的和遥远的,从最常用的到最少使用的知识,由四个具有临床和教育经验的独立委员会认证的PAs进行验证。为了验证这一假设,使用潜在转换分析(LTA)来测量行为模式之间随时间的转换概率,特别是不同级别的转换概率(例如,从精通转换为非精通的概率)与使用频率的关系。我们发现,知识衰退的趋势受实践概况(医学专业)的影响,主要是受日常使用中活跃的知识(即主导知识)的影响,知识的使用频率越低,知识衰退的可能性越大。特别是,与主导知识(即最常用的知识)相比,相关知识(即中常用的知识)和远距知识(即很少使用的知识)更容易下降(OR = 2.31, CI = [1.82, 2.94], p
Medical knowledge decline: the role of active usage.
This paper details the reason for the decline in medical knowledge after initial certification of physician assistants/associates (PAs) and suggests improvement in competency assessment after initial certification. We hypothesized that the decline was caused by less frequency of use; in other words, knowledge retention was impacted by the active use of knowledge. If so, the likelihood of a decline in knowledge is mediated by the closeness of the test content to the practitioners' daily practice. Data from Physician Assistants (PA) initial certification (PANCE) and re-certification (PANRE-LA, after 6 years) were used for the current study. To quantify the level of active usage, knowledge subdomains were classified into three categories for each medical specialty: dominant, relevant and distant, ranging from the most frequently used to the least used knowledge, which was verified by four independent board-certified PAs with clinical and educational experience. To test the hypothesis, Latent transition analysis (LTA) is used to measure the probability of transitions among behavioral patterns over time, in particular how various levels of transition probabilities (e.g., probability from proficient switching to non-proficient) are related to the frequency of use. We found that the trends of knowledge decline are influenced by practice profile (medical specialty), mainly, knowledge active in daily use (i.e., dominant knowledge) over time- the less frequent the knowledge is used, the more likely the knowledge decline will take place. In particular, compared to dominant knowledge (i.e., most frequently used knowledge), relevant knowledge (i.e., mediumly frequent used knowledge) and distant knowledge (i.e., rarely used knowledge) are more likely to decline (OR = 2.31, CI = [1.82, 2.94], p < 0.001; OR = 2.26, CI = [1.84, 2.78], p < 0.001). Moreover, dominant system knowledge has a better chance to improve over the years as compared to relevant and distant system knowledge (OR = 2.19, CI = [1.71, 2.81], p < 0.001; OR = 2.12, CI = [1.72, 2.65], p < 0.001). Instead of a uniform knowledge decay, medical practitioners suffer from a differential likelihood of knowledge decay over different systems knowledge. Implications for re-certification exams are discussed.
期刊介绍:
Advances in Health Sciences Education is a forum for scholarly and state-of-the art research into all aspects of health sciences education. It will publish empirical studies as well as discussions of theoretical issues and practical implications. The primary focus of the Journal is linking theory to practice, thus priority will be given to papers that have a sound theoretical basis and strong methodology.