» Articles » PMID: 29792300

What is the Effect of Secondary (high) Schooling on Subsequent Medical School Performance? A National, UK-based, Cohort Study

Overview
Journal BMJ Open
Specialty General Medicine
Date 2018 May 25
PMID 29792300
Citations 15
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: University academic achievement may be inversely related to the performance of the secondary (high) school an entrant attended. Indeed, some medical schools already offer 'grade discounts' to applicants from less well-performing schools. However, evidence to guide such policies is lacking. In this study, we analyse a national dataset in order to understand the relationship between the two main predictors of medical school admission in the UK (prior educational attainment (PEA) and performance on the United Kingdom Clinical Aptitude Test (UKCAT)) and subsequent undergraduate knowledge and skills-related outcomes analysed separately.

Methods: The study was based on national selection data and linked medical school outcomes for knowledge and skills-based tests during the first five years of medical school. UKCAT scores and PEA grades were available for 2107 students enrolled at 18 medical schools. Models were developed to investigate the potential mediating role played by a student's previous secondary school's performance. Multilevel models were created to explore the influence of students' secondary schools on undergraduate achievement in medical school.

Results: The ability of the UKCAT scores to predict undergraduate academic performance was significantly mediated by PEA in all five years of medical school. Undergraduate achievement was inversely related to secondary school-level performance. This effect waned over time and was less marked for skills, compared with undergraduate knowledge-based outcomes. Thus, the predictive value of secondary school grades was generally dependent on the secondary school in which they were obtained.

Conclusions: The UKCAT scores added some value, above and beyond secondary school achievement, in predicting undergraduate performance, especially in the later years of study. Importantly, the findings suggest that the academic entry criteria should be relaxed for candidates applying from the least well performing secondary schools. In the UK, this would translate into a decrease of approximately one to two A-level grades.

Citing Articles

Predicting Success: A Comprehensive Analysis of High School and Admission Test Scores on Future Academic Performance of Dental Students.

Iqbal S, Kiyani A, Niazi M, Malik F, Saeed M, Bashir U Cureus. 2024; 16(3):e56279.

PMID: 38623127 PMC: 11018006. DOI: 10.7759/cureus.56279.


Socio-demographic profile of medical students in Aotearoa, New Zealand (2016-2020): a nationwide cross-sectional study.

Bagg W, Curtis E, Eggleton K, Nixon G, Bristowe Z, Brunton P BMJ Open. 2023; 13(12):e073996.

PMID: 38149418 PMC: 10711838. DOI: 10.1136/bmjopen-2023-073996.


Artificial or intelligent? Machine learning and medical selection: possibilities and risks.

Tiffin P, Paton L MedEdPublish (2016). 2023; 7:256.

PMID: 38089244 PMC: 10712013. DOI: 10.15694/mep.2018.0000256.1.


Admission criteria and academic performance in medical school.

Tamimi A, Hassuneh M, Tamimi I, Juweid M, Shibli D, Almasri B BMC Med Educ. 2023; 23(1):273.

PMID: 37085824 PMC: 10122404. DOI: 10.1186/s12909-023-04251-y.


Choice of medicine program: A single-institution study.

Ikram N, Mousa A, Alshanberi A, Mohammad S, Radwan H, Awais M Ann Med Surg (Lond). 2022; 81:104410.

PMID: 36147114 PMC: 9486612. DOI: 10.1016/j.amsu.2022.104410.


References
1.
Hissbach J, Klusmann D, Hampe W . Dimensionality and predictive validity of the HAM-Nat, a test of natural sciences for medical school admission. BMC Med Educ. 2011; 11:83. PMC: 3261109. DOI: 10.1186/1472-6920-11-83. View

2.
Hissbach J, Klusmann D, Hampe W . Reliability of a science admission test (HAM-Nat) at Hamburg medical school. GMS Z Med Ausbild. 2011; 28(3):Doc44. PMC: 3159206. DOI: 10.3205/zma000756. View

3.
Tiffin P, Mwandigha L, Paton L, Hesselgreaves H, McLachlan J, Finn G . Predictive validity of the UKCAT for medical school undergraduate performance: a national prospective cohort study. BMC Med. 2016; 14(1):140. PMC: 5026770. DOI: 10.1186/s12916-016-0682-7. View

4.
Steven K, Dowell J, Jackson C, Guthrie B . Fair access to medicine? Retrospective analysis of UK medical schools application data 2009-2012 using three measures of socioeconomic status. BMC Med Educ. 2016; 16:11. PMC: 4711010. DOI: 10.1186/s12909-016-0536-1. View

5.
Ray R, Woolley T, Sen Gupta T . James Cook University's rurally orientated medical school selection process: quality graduates and positive workforce outcomes. Rural Remote Health. 2015; 15(4):3424. View