Evidence map›Paper›PMID 28148572›Full record

ArticleClinical medicine (London, England)2017

The predictive validity of a situational judgement test, a clinical problem solving test and the core medical training selection methods for performance in specialty training .

Fiona Patterson, Safiatu Lopes, Stephen Harding, Emma Vaux, Liz Berkin, David Black

Abstract read
In one paragraph

Article in Clinical medicine (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Fiona PattersonWork Psychology Group, Derby, UK f.patterson@workpsychologygroup.com.
Safiatu LopesWork Psychology Group, Derby, UK.
Stephen HardingJoint Royal Colleges of Physicians Training Board, London, UK.
Emma VauxRoyal Berkshire NHS Foundation Trust, Reading, UK.
Liz BerkinLeeds Teaching Hospitals Trust, Leeds, UK.
David BlackJoint Royal Colleges of Physicians Training Board, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to follow up a sample of physicians who began core medical training (CMT) in 2009. This paper examines the long-term validity of CMT and GP selection methods in predicting performance in the Membership of Royal College of Physicians (MRCP(UK)) examinations. We performed a longitudinal study, examining the extent to which the GP and CMT selection methods (T1) predict performance in the MRCP(UK) examinations (T2). A total of 2,569 applicants from 2008-09 who completed CMT and GP selection methods were included in the study. Looking at MRCP(UK) part 1, part 2 written and PACES scores, both CMT and GP selection methods show evidence of predictive validity for the outcome variables, and hierarchical regressions show the GP methods add significant value to the CMT selection process. CMT selection methods predict performance in important outcomes and have good evidence of validity; the GP methods may have an additional role alongside the CMT selection methods.

Indexed as

Educational MeasurementStudents, MedicalAdultEducation, MedicalFemaleHumansLongitudinal StudiesMaleMedicineMiddle AgedPhysiciansReproducibility of ResultsUnited KingdomYoung AdultAssessmentCMTcore medical trainingCT1interviewsmachine-marked testsselectionvalidity

Identifiers

PMID28148572
PMCPMC6297587

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.