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Related Experiment Video

Updated: Jun 6, 2026

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators

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Selecting general practice specialty trainees: where next?

Bill Irish¹, Fiona Patterson

¹GP National Recruitment Office, Severn Deanery, Bristol.bill.irish@southwest.nhs.uk

The British Journal of General Practice : the Journal of the Royal College of General Practitioners

|November 11, 2010

Summary

This summary is machine-generated.

General practice (GP) speciality training selection uses a multi-method approach assessing key competencies. Current methods show predictive validity, but require review due to evolving UK general practice and concerns about international medical graduates.

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Area of Science:

Medical Education
General Practice Training
Assessment Methods

Background:

Selection for GP speciality training relies on a multi-method job analysis.
Six core competencies (empathy, communication, integrity, clinical expertise, problem-solving, resilience) are assessed.
Current national selection involves machine-marked tests and high-fidelity exercises.

Purpose of the Study:

To evaluate the current GP speciality training selection process.
To identify areas for streamlining and re-engineering for efficiency and robustness.
To address concerns regarding differential performance between UK and international medical graduates.

Main Methods:

Multi-method job analysis study.
Machine-marked clinical problem-solving and situational judgement tests.
High-fidelity exercises (e.g., simulated patient consultations).

Main Results:

Current selection methods demonstrate good internal reliability and predictive validity.
High correlations observed between selection outcomes and subsequent job performance/MRCGP examinations.
Candidates perceive high-fidelity assessments as most job-relevant and fair.

Conclusions:

The GP selection process is generally effective but requires urgent review.
Emerging data suggests opportunities for process optimization and re-engineering.
Addressing differential performance and adapting to changes in UK general practice are critical.