Early Detection and Intervention: A Framework for Preventing Academic Failure in Medical Students
Azhar Rashid, Rahila Yasmeen, Rehan Ahmed Khan

TL;DR
This study proposes a framework to identify and support medical students at risk of academic failure through early observation and reflection.
Contribution
A predictive framework for early identification of at-risk medical students using behavioral and academic indicators.
Findings
Key predictors of academic failure include poor self-regulation, procrastination, and emotional imbalance.
The framework suggests documenting prior academic results and behavioral traits at admission and monitoring formative assessments.
Reflective practices and feedback sessions can uncover hidden learning gaps and support at-risk students.
Abstract
Academic failure is multifactorial with personal, institutional, and societal factors. Identification after high stake assessments comes too late for meaningful interventions. There is limited data to predict academic failure at an early stage. This qualitative exploratory study aimed to identify such students using a predictive framework. Using purposive sampling, twenty-seven participants (8 academic failures, 8 high achievers, and 7 medical teachers) were enrolled after informed consent and ethical approval. One-to-one interviews with eight academic failures and two focused group discussions (FGDs), one with the high achievers and the teachers were conducted online using a validated questionnaire. Thematic analysis and blended coding was done manually with member checking and triangulation. Key predictors included poor self-regulation, procrastination, emotional imbalance, low…
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Taxonomy
TopicsInnovations in Medical Education · Childhood Cancer Survivors' Quality of Life · Healthcare professionals’ stress and burnout
