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Retrospective cohort study shows formative assessments predict exam performance in general practice trainees, suggesting need for remediation.
Fellowship examinations in Australian vocational general practice training assess competency for unsupervised practice. Early identification of trainees at risk of failing these summative examinations facilitates pro-active remediation. This study aimed to explore the utility of formative pre-general practice assessments (PGAs), undertaken at the commencement of training, for predicting final summative examination performance. This was a retrospective cohort study. The PGAs included a written, short-answer, five-case Key Feature Problems test (‘PGA-KFP’) and an Objective Structured Clinical Examination (‘PGA-OSCE’). Multivariable regression was used to examine the relationship between these PGAs and standardized scores on first-attempts at three summative fellowship examinations (an Applied Knowledge Test (‘Fellowship-AKT’), a KFP (‘Fellowship-KFP’) and an OSCE (‘Fellowship-OSCE’); and passing all three (versus failing at least one) examination on first attempt. Registrar demographics and training-related factors were included as covariates. Higher PGA-KFP and PGA-OSCE scores were univariably associated with higher Fellowship-AKT, Fellowship-KFP, and Fellowship-OSCE scores (all p-values ≤ 0.002) and with passing all three examinations on first attempt (p < 0.006). On multivariable analyses, higher PGA-KFP and PGA-OSCE scores were significantly associated with higher Fellowship-AKT, Fellowship-KFP (p values ≤ 0.016) but not Fellowship-OSCE scores. Higher PGA-KFP scores were also predictive of passing all three Fellowship exams on first attempt (p < 0.001). This study found intensive formative assessments conducted at the commencement of training to be predictive of final fellowship examination performance in an apprenticeship-based model of general practice training. This suggests utility of these assessments for early-identification of trainees in need of proactive remediation both in Australia and internationally. Further research is required to explore predictive utility of less resource-intensive PGAs.
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Fielding et al. (2026) studied this question.
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