Improving ABSITE scores - A meta-analysis of reported remediation models.

Autor: Cheun TJ; Division of Vascular and Endovascular Surgery, Department of Surgery, Long School of Medicine, University of Texas Health at San Antonio, San Antonio, TX, USA; South Texas Center for Vascular Care, South Texas Medical Center, San Antonio, TX, USA., Davies MG; Division of Vascular and Endovascular Surgery, Department of Surgery, Long School of Medicine, University of Texas Health at San Antonio, San Antonio, TX, USA; South Texas Center for Vascular Care, South Texas Medical Center, San Antonio, TX, USA. Electronic address: daviesm@uthscsa.edu.
Jazyk: angličtina
Zdroj: American journal of surgery [Am J Surg] 2020 Dec; Vol. 220 (6), pp. 1557-1565. Date of Electronic Publication: 2020 May 16.
DOI: 10.1016/j.amjsurg.2020.04.028
Abstrakt: Background: The ABSITE is an annual formative assessment of residents' knowledge. This study examines the effects of remediation models on performance in the ABSITE.
Methods: A systemic literature review, qualitative content analysis and a quantitative meta-analysis were performed on studies from 1980 to 2018. Study quality and bias was also assessed. Main outcome measures were extracted to calculate effect sizes using a random effect model.
Results: Seventy-one percent of the studies considered to have acceptable quality and 79% were considered to have a low risk of bias. On qualitative content analysis, the interventions grouped into the following themes: mandatory multimodality remediation program, structured reading program, establishing a passing benchmark, problem-based learning, mandatory didactic conference attendance, learning management system and/or social media, and self-directed learning. Remediation models with the most positive effects were mandatory multimodality remediation programs (SMD 0.78, 95% confidence interval [0.27-1.28] p = 0.003) and the use of learning management systems/social media (0.74, [0.32-1.16] p = 0.001).
Conclusion: Establishment of mandatory multimodality remediation programs and the use of a learning management systems/social media appear to be the most effective measures.
Competing Interests: Declaration of competing interest None.
(Copyright © 2020 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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