Team-based learning in health professions education: an umbrella review.

backgroundTeam-Based Learning (TBL) has garnered considerable attention in education research. To consolidate the existing evidence, we conducted an umbrella review with four objectives:

methodsThe Joanna Briggs Institute (JBI) methodology was followed: [1] Search strategy and literature search [2] Screening and Study Selection [3] Assessment of methodological quality [4] Data collection, and [5] Data summary. We utilized Endnote, Excel, and MAXQDA for efficient project management and analyzing data.

resultsAnalyzing twenty-three reviews spanning from 2013 to 2024, we found a peak in TBL research in 2022 including more than 312 unique primary studies involving more than 63,987 participants. Notably, the United States and China accounted for over 61% of the total primary articles focused on students from medicine, nursing, pharmacy, and dentistry. Evidence supports the superiority of TBL in enhancing cognitive outcomes. However, findings related to retention are mixed. Insufficient evidence exists to draw robust conclusions when comparing TBL with other active learning methods. TBL demonstrates favorable outcomes in terms of clinical performance and engagement. Non-technical skills show mixed results. Notably, TBL positively impacts self-study, learning ability, decision-making, and emotional intelligence. Faculty experiences reveal an initial increase in workload, but generally hold positive attitude. Faculty development remain limited in duration and scope. Freshmen, academically weaker students, undergraduates, Chinese female students, and nursing students appear to benefit most from TBL. Team formation and size are the most frequently studied elements.

conclusionTBL holds promise for improving learning outcomes, but ongoing investigation is essential to maximize its impact in diverse educational contexts. This umbrella review underscores the need for further research in specific areas i.e. effective pre-class learning methods and faculty workload.