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76 January 2016, Vol. 106, No. 1
Selection procedures in most medical schools are
necessary because substantially more applications
are received than the number of places available.
Medical schools have a duty to ensure that students
admitted to their programmes have the potential
to successfully complete their studies and display competent and
ethical behaviour in practice.
[1]
In South Africa (SA), there is also an
imperative to ensure that adequate numbers of quality candidates are
attracted and selected, not only to ensure their academic success, but
also to provide future healthcare practitioners who are fit to practise
in the local society, including rural and currently under-served areas
in the country. Selection instruments must therefore be aligned with
social accountability objectives, so that widening access is granted to
those from a disadvantaged background and to ensure access across
the entire demographic profile of SA. At a meeting of representatives
of the South African Committee of Medical Deans, a decision was
made to employ collective learning from current practices across
medical schools in SA to point the way forward.
A variety of indicators, tests, procedures and methods are used to
select candidates for places in medical school, which include both
academic proficiency and non-academic characteristics. Although it
has been argued that certain core competencies important for future
doctors should be considered in the selection process, this does not
necessarily predict academic success,
[2]
nor does it assure that socially
accountable practitioners are produced. At the same time, there is
uncertainty as to whether the widely accepted view that academic
success at high school is the best predictor of academic success at
medical studies holds true.
[3]
Selection procedures at SA medical schools currently employ pooled
data from academic performance tests indicating cognitive ability,
comprising a combination of the National Senior Certificate (NSC)
results in compulsory subjects and the National Benchmark Tests
(NBT), and non-academic performance indicators. The latter include
performance in extracurricular activities (leadership, sport, cultural,
community engagement and service), measures of dis advantage such as
family income, schooling and rural origin, personal reports (biographical
South African medical schools: Current state of selection
criteria and medical students demographic prole
L J van der Merwe,
1
MB ChB, MMedSc, PhD; G J van Zyl,
1
MB ChB, MFamMed, MBA, Dipl Community Health, Dipl Health
Administration, PhD; A St Clair Gibson,
1
MB ChB, PhD, MD; M Viljoen,
1
BComm, MBA; J E Iputo,
2
MB ChB, PhD; M Mammen,
2
MSc,
PhD, FAIMER; W Chitha,
2
MB ChB, MPH Health Economics, AMDP; A M Perez,
3
DBS, DHSM, MDent; N Hartman,
3
BA, BSocSc Hons,
MSocSc, PhD; S Fonn,
4
MB BCh, FFCH, PhD; L Green-ompson,
4
MB BCh, FCA (SA); O A Ayo-Ysuf,
5
BDS, MSc (Odont), DHSM, MPH,
PhD; G C Botha,
5
MA; D Manning,
6
BSc Hons, MEd, PhD; S J Botha,
7
BSc Hons, MSc, PhD; R Hi,
7
MB ChB, MMed, PhD;
P Retief,
8
BA Hons, MA, DLitt; B B van Heerden,
8
MB ChB, MSc, MMed; J Volmink,
8
MB ChB, DCH, FRCP (Edin), MPH, DPhil
1
Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa
2
Faculty of Health Sciences, Walter Sisulu University, Mthatha, Eastern Cape, South Africa
3
Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
4
Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
5
Sefako Makgatho Health Sciences University, Ga-Rankuwa, Gauteng, South Africa
6
Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
7
College of Health Sciences, University of KwaZulu-Natal, Howard College, Durban, South Africa
8
Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
Corresponding author: L van der Merwe (merwelj@ufs.ac.za)
Background. Selection of medical students at South African (SA) medical schools must promote equitable and fair access to students from
all population groups, while ensuring optimal student throughput and success, and training future healthcare practitioners who will fulfil
the needs of the local society. In keeping with international practices, a variety of academic and non-academic measures are used to select
applicants for medical training programmes in SA medical schools.
Objectives. To provide an overview of the selection procedures used by all eight medical schools in SA, and the student demographics
(race and gender) at these medical schools, and to determine to what extent collective practices are achieving the goals of student diversity
and inclusivity.
Methods. A retrospective, quantitative, descriptive study design was used. All eight medical schools in SA provided information regarding
selection criteria, selection procedures, and student demographics (race and gender). Descriptive analysis of data was done by calculating
frequencies and percentages of the variables measured.
Results. Medical schools in SA make use of academic and non-academic criteria in their selection processes. The latter include indices of
socioeconomic disadvantage. Most undergraduate medical students in SA are black (38.7%), followed by white (33.0%), coloured (13.4%)
and Indian/Asian (13.6%). The majority of students are female (62.2%). The number of black students is still proportionately lower than in
the general population, while other groups are overrepresented.
Conclusion. Selection policies for undergraduate medical programmes aimed at redress should be continued and further refined, along
with the provision of support to ensure student success.
S Afr Med J 2016;106(1):76-81. DOI:10.7196/SAMJ.2016.v106i1.9913
RESEARCH
77 January 2016, Vol. 106, No. 1
questionnaires) and interviews. Each medical school employs a particular
combination of these admission criteria, but currently there is no
uniformity in how they are applied across the medical schools.
A positive correlation between past academic achievement
and future academic success has been demonstrated by previous
research.
[4]
However, in a group of applicants with exceptional aca-
demic achievement in certain compulsory subjects at NSC level, it is
not possible to predict among top achievers who is more or less likely
to succeed. The NBT provides an additional method of differentiating
cognitive ability by testing language, mathematical and reasoning
ability. Internationally, tests such as the General Cognitive Ability
test have been shown to have a significant relationship with future
academic and career success.
[1]
In SA, data are lacking regarding the
relationship between the NBT and success at medical school.
Non-academic tests are often used as additional measures to
differentiate between applicants with exemplary cognitive ability, to
ensure that candidates with desirable traits for future medical practice
are not excluded by focusing solely on academic performance.
However, the reliability and validity of non-academic performance as
selection criteria are debatable.
[5]
Scientific evidence of the predictive
value of various selection criteria and processes is needed to guide
future practice.
In SA, in an attempt to address historical inequalities with regard
to access, medical schools attempt to select candidates reflecting the
demographic profile of the country, and therefore aim to increase
the number of black African and coloured students selected for
medical training.
[6]
However, the demographic data regarding racial
composition of student cohorts at individual medical schools may
still not reflect that of the country at large. There are different
demographic distributions in the geographical areas and provinces
of SA, and the number of applicants who comply with minimum
selection criteria in each of these areas may be insufficient to meet the
required targets for transformation. All medical schools, however, are
committed to transformation in their selection practices. The number
of applicants who decline an offer of a place at a particular medical
school because they have been accepted at another institution, poses
difficulties for medical schools to increase the number of students
in specific target groups. In addition to optimal selection processes,
the throughput of selected candidates from first year to graduation
needs to be monitored in order to reduce challenges experienced by
students to complete their studies in the minimum time.
With 2014 marking the 20-year anniversary of democracy in SA,
selection procedures continue moving towards methods of providing
improved access to students from disadvantaged backgrounds.
However, defining disadvantage by race has become complicated by
the fact that there is an emerging black middle class. Factors such as
schooling and educational background (for example, quintile 1 and 2
schools
[7]
), rurality and socioeconomic circumstances have therefore
been included as indicators of disadvantage. Further complexities
exist, such as the emerging middle class and the fact that children
of domestic workers, for example, often attend good schools in the
area where their parents are employed. Students’ financial need,
[8]
the variable quality of primary and secondary schooling
[9]
and
the importance of taking into account cultural differences in the
selection process, are additional issues pointing to the need for a
comprehensive re-evaluation of selection criteria.
Objectives
To provide information regarding the current selection criteria and
medical student demographics at the eight SA medical schools, and
to determine to what extent collective practices are achieving the
goals of student diversity and inclusivity.
Methods
A retrospective, quantitative, descriptive study design was followed.
All eight medical schools in SA, as listed in Table 1, participated in
the study in 2014. Representatives from the South African Committee
of Medical Deans at each institution provided information regarding
selection criteria, selection procedures, and student demographics
regarding race and gender.
Information on selection policies, criteria and procedures for 2014
included both academic and non-academic performance indicators
used to select candidates for medical studies at SA medical schools.
Demographic variables included gender and race (black, coloured,
Indian/Asian, white and ‘other’, where ‘other’ mainly referred to
students from Southern African Development Community (SADC)
countries) of students who were offered places at the respective
medical schools, students who accepted these places, and the
registered students’ demographic characteristics in 2014. Descriptive
analysis of data was done by calculating frequencies and percentages
of the variables measured.
Results
As shown in Table 1, all eight medical schools in SA participated in
the study. All the medical schools offer a 6-year curriculum for the
undergraduate medical degree, with the exception of the UFS, where
a 5-year curriculum is followed. Extended programmes are available
at UCT, UFS, SMU, SUN and UP, and a graduate entry programme
at WITS. UCT has not yet introduced a graduate entry programme,
although one or two students with degrees are offered places in
second year. All the universities offer structured student support
programmes.
In 2014, a total of approximately 1 900 places were available at
these institutions for first-year medical students (UCT 220, UFS 140,
UKZN 250, SMU 250, UP 300, SUN 290, WITS 250, WSU 120). These
places included positions offered to students who have completed the
NSC (matriculants/school leavers), as well as senior students, foreign
students, deans/rector’s places, and students transferring from other
medical schools, health sciences professions or degree programmes.
Each university, however, has its own rules regarding the admission
of medical students.
Table 2 provides an overview of the NSC and NBT academic
requirements and the weighting applied at each of the institutions
for admission to their undergraduate medical programmes in 2014.
The demographic composition of selected applicants with regard
to race and gender varies at different medical schools. All medical
schools aim to include students from all races and both genders
in their admissions, and make use of different criteria to achieve
Table 1. SA medical schools and abbreviations (in alphabetical
order)
University Abbreviation
Sefako Makgatho Health Sciences University* SMU
Stellenbosch University SUN
University of Cape Town UCT
University of the Free State UFS
University of KwaZulu-Natal UKZN
University of Pretoria UP
University of the Witwatersrand WITS
Walter Sisulu University WSU
*Formerly University of Limpopo Medunsa Campus.
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78 January 2016, Vol. 106, No. 1
inclusivity in terms of black and coloured students, as well as those
from disadvantaged backgrounds. At UCT, the Senate approves
targets by population group for school leavers annually. No targets
are set for gender, and students from rural areas may enter through
special consideration with slightly lower cut-off points. At the UFS,
which follows a parallel-medium language policy, the selection
committee aims to select English and Afrikaans students in a ratio
of 60:40, while the female/male ratio is 60:40 in order to ensure
that minorities are represented. The ratio with regard to gender is
maintained so that, for example, female students cannot be more than
60% of the selected applicants. A definite attempt is made to include
candidates from disadvantaged backgrounds who demonstrate
academic potential, while two points are allocated for rural origin.
At UKZN, 28% of students are selected from quintile 1 and 2
schools
[7]
without racial quotas, while 52% are selected on merit,
with 69% of these places reserved for black students, 19% for Indian,
9% for coloured, 2% for white and 1% for other (Chinese) students.
The remaining 20% of the total number of students admitted are
selected from students with prior tertiary education. At SMU,
20% of the 250 spaces available for first-year medical students are
reserved for students from the foundation programme (i.e. the
extended curriculum programme). The remaining students are
selected from matriculants and senior students transferring from
other programmes. Of these, 78% of places are offered to black
students, 11% to white, 8% to coloured and 3% to Indian students.
No allowance is made for gender or disadvantage.
At UP, targets are set for historically disadvantaged students,
namely black and coloured, while at SUN male and female students
are selected in the same ratio as the pool of qualifying applicants,
and selection based on race is in accordance with enrolment
planning of the university and its commitment to inclusivity and
diversity. At WITS, selection is made in two racially defined groups,
namely coloured/black and white/Indian, to achieve a representative
demographic distribution.
Academic requirements include NSC results and compulsory
subjects at specified levels of achievement (level 5 (>60%)). These
subjects include Mathematics, Physical Science, Life Science and
Language (English). NBTs are required by UCT (70:30), UFS (60:40),
UP (60:40), SUN (45:30) and WITS (50:50), with varying weight
attributed to these results (NSC:NBT ratios indicated in parentheses).
UKZN, SMU and WSU do not require students to write NBTs in their
selection process.
Table 2. Academic (NSC and NBT) requirements for selection for undergraduate medical training at eight SA medical schools
University Academic (weight)
APS (minimum required
based on NSC)
NCS compulsory subjects + minimum
achievement level NBT requirements NSC:NBT
SMU 100% 30 Level 5 (60 - 69%)
Maths, Physical Science, Life Science
Not required NA
SUN 45% of selection
factor (grade 11/
matric average)
Not applicable Level 6 (70 - 79%) or higher
Level 4 (50 - 59%) or higher
Maths, Physical Science, Life Science
Intermediate or
proficient
Minimum 38% per
component
Weight: 30% of
selection factor
45:30
UCT NSC score out
of 600 and NBT
score out of 300 +
(for Medicine) an
optional personal
report out of 100
450 (APS = NSC) Level 5 (60 - 69%)
Compulsory: English, Maths, Physical
Science, plus next 3 best subjects
excluding LO
Intermediate or
proficient.
70:30
UFS 100 points (84.76%) 36 Level 5 (60 - 69%)
Language, Maths, Physical Science,
Life Science
Must pass each
component and
average 50% overall
60:40
UKZN Aggregate of 4
compulsory subjects
+ 2 best subjects,
excluding Maths 3
and LO
Not applicable Level 5 (60 - 69%)
English, Maths, Physical Science,
Life Science
Average 65%
Not required NA
UP 100% 35 (excluding LO) Level 5 (60 - 69%)
Language, Maths, Physical Science or
Life Science
AL 20%, QL 20%,
Maths 60%
60:40
WITS Composite index:
NSC 40%, NBT 40%,
BQ20%
Not applicable Level 5 (60 - 69%)
English, Maths, Physical Science or
Life Science, plus next 2 best subjects
incl. LO
Required 50:50
WSU Academic 50%;
interview 50%
20 (4 subjects) Level 5 (60 - 69%)
English, Maths, Physical Science,
Life Science
Not required NA
APS = admission point score; LO = life orientation; AL = academic literacy; QL = quantitative literacy; Maths = mathematics; BQ = biographical questionnaire.
RESEARCH
79 January 2016, Vol. 106, No. 1
The non-academic requirements for selec tion
for medical training carry between 10% and
25% of the total weight during the selection
process, and comprise the following:
Extracurricular activities. These include
leadership, community service, cultural
and sporting achievements, of which UCT,
UFS, UP, SUN and WITS include different
components in the selection process.
Region of origin. Although UCT does
not allocate extra points for region of
origin, rural students may be admitted with
lower cut-off points than the general pool
of applicants. UFS offers an additional 2
points and SUN an additional 4 points for
applicants of rural origin, while WSU tends
to admit more of its students from rural
Eastern Cape areas.
Advantage based on parents being
alumni or staff members of the institution
is given in the form of 2 additional points at
UFS and SUN.
Indices of disadvantage are specified
at UCT to include redress for groups 1
and 2 (black and coloured students) who
enter with lower points, redress for group 3
(Indian students) who enter with the same
cut-off point as ‘Open’ students (who must
meet requirements without dropping cut-off
points), and redress for group 4 (Chinese)
who may enter with points slightly lower
than the Open group. At UP disadvantage
is seen as historically based on race, while
at SUN no disadvantage index is used as
it is implicit in the selection process. At
UKZN and SUN (for selection of students
to the extended programme), schooling
background (e.g. quintile 1 and 2 schools
[7]
)
is taken into consideration. At SMU
applicants from quin tile 1 and 2 schools
are considered for the extended curriculum
programme if they have not been selected
directly into the medical programme on
competitive basis.
Biographical questionnaires, personal
reports or interviews. At UCT a personal
report will be required from 2016 if
students achieve at a high level with their
NSC and NBT results. WITS has made
use of a biographical questionnaire prior
to admission for 2015. UFS conducted
interviews in the past, while WSU currently
uses interviews for selected students based
on academic merit. The interview aims to
assess students’ personal attributes.
Fig. 1 shows the student demographic
profile with regard to race and gender of
all undergraduate students in the medical
training programmes offered at SA medical
schools during 2014. Among 9293 students,
male students constitute 37.8% of the total
group, with 62.2% female students. The
majority of students are black (38.7%),
followed by white (33.0%), coloured (13.4%),
Indian/Asian (13.6%) and other (1.3%).
Fig. 2 compares the racial distribution
of undergraduate medical students in SA
in 2014 with demographic findings of the
National Census of 2011.
[10]
Although the majority of medical students
at SA universities are black (approximately
39%), this group is still under-represented in
relation to the national population, of which
80% of individuals are black.
[10]
Medical
students from the other racial groups are
over-represented in comparison with the
national demographic profile. Slightly more
than 33% of medical students in 2014 were
white, while whites represent less than 10%
of the total population. In 2014, nearly 15%
of medical students were coloured, while
the coloured population comprises less
than 10% of the total population in the
2011 census. More than 10% of medical
students were Indian/Asian, while Indians/
Asians represent less than 5% of the total
population.
[10]
At all eight medical schools, large
differences are prevalent in the number of
offers made compared with offers accepted.
Students may receive more than one
admission offer as they may have applied
to more than one university. Therefore, the
large cumulative number of offers made
by the eight medical schools may be due
to duplication. Large numbers of students
4 000
3 500
2 500
3 000
2 000
1 500
500
1 000
0
Black Coloured Indian/Asian Other White
1 310
2 289
3 599
426
818
1 244
577
687
1 264
64 59
123
1 133
1 930
3 063
Male Female Total
Students, n
Fig. 1. Race and gender of undergraduate students at SA medical schools in 2014.
Black Coloured Asian White
%
100
80
60
20
40
0
79.6
39.2
8.9
13.6
2.5
13.8
8.9
33.4
Census 2011 (N=51.5 m*) UG medical students (N= 9 170
)
Fig. 2. Comparison of the racial distribution of the general SA population and undergraduate medical
students attending SA medical schools in 2014. (UG = undergraduate; *51.5 million;
UG students
enrolled at eight South African medical schools in 2014.)
RESEARCH
80 January 2016, Vol. 106, No. 1
who are selected and do not take up the
positions offered may therefore skew the
representation of the different population
groups eventually admitted at these
institutions.
For 2014 admissions, only 67% of students
accepted the offers made by medical schools.
Black students made up 49.4% of the total
offers made to students, and 46.9% of those
who accepted these offers. Only 62.4% of
black students accepted the offers made.
White students comprised 27.3% of the offers
made and 27.9% of the offers accepted. In
this group, 61.8% accepted the offers made.
Coloured students comprised 11.6% of the
offers made, and made up 9.5% of those
who accepted offers at medical school. In
this group, 49.3% accepted the offers made.
Of the offers made, 11.4% were to Indian/
Asian students, and of the offers accepted,
11.5% had been made to Asians. In this
group, 61.2% accepted the offers made. Very
low numbers of students in the group ‘other’
(including students from SADC countries)
were offered places, and of these students
only 40.0% (6/15) accepted the offers. There
are no available data showing reasons for the
difference between offers made and eventual
admissions.
Fig. 3 represents the total number of offers
made and accepted in 2013 for admission in
2014 at all eight medical schools.
At all institutions, with the exception of
WSU, the number of students who take up
positions offered to them was lower than the
number of offers made. The largest number
of offers made was to black and coloured
students (53.3%), redressing previous
disadvantage, followed by white (31.3%)
and Indian/Asian (14.8%) students. When
looking at the number of students who
accepted these offers, the majority (56.3%)
were black and coloured students, followed
by white (29.9%) and Asian/Indian students
(13.4%).
Discussion
All eight medical schools in SA use
academic and non-academic requirements
in their selection processes, conforming to
international practice.
[1,5]
In addition, these
institutions aim to improve inclusivity
among the students selected in order to meet
the needs of the diverse socioeconomic and
cultural populations that qualifying doctors
will serve in future. For example, based
on existing evidence,
[11]
targeting students
from rural areas may enhance the number
of rural practitioners. This approach is in
line with the World Health Organization
(WHO) guidelines stating that admission
policies should be targeted to reflect student
diversity in terms of socioeconomic, ethnic
and geographic background.
[12]
We found that overall the demographic
profile of selected students is beginning
to reflect the diversity of the population
groups in SA. Although the proportion
of students in each population group
varies between medical schools (probably
reflecting the demographics of the province
and region where the institution is situated),
the percentage of students from historically
disadvantaged racial groups (black and
coloured students) has improved to a large
degree when compared with pre-1994,
[13]
although less so since 1999.
[6]
The largest
number of students enrolled for training as
doctors at SA medical schools are the black
and coloured groups (52.1%), followed by
white (33.0%) and Indian/Asian students
(13.6%). Black students remain under-
represented in medical schools compared
with the national demographics in 2011,
[10]
while the minority groups are over-
represented.
In an attempt to address past inequality, at
least 60% of offers made by medical schools
are to black and coloured students. Of the
students who accept offers, at least 60% are
black and coloured.
The percentage of female students is
higher than that of male students. Only the
UFS sets a gender ratio of 60:40 female/male
in order to ensure that the minority male
gender among the applicants is represented.
Various indices of disadvantage (such as
quintile 1 and 2 schools,
[7]
rural origin,
disadvantaged population groups) have
been suggested for inclusion, in order to
address disadvantage effectively and to move
beyond race as an indicator of disadvantage,
especially when taking the emerging black
middle class into account. However, more
precise indicators of disadvantage may have
to be developed for use in selection, or for
deciding on students who may not fulfil
the minimum academic requirements set in
selection policies. Furthermore, culturally
sensitive selection tools need to be explored
in order to address issues related to cultural,
socioeconomic and language diversity, which
may affect students’ possible selection. For
example, students from lower socioeconomic
backgrounds may not have access to the
wide array of cultural and sporting activities
or leadership development compared with
those from privileged backgrounds, placing
them at a further disadvantage when these
items are included in non-academic selection
criteria. The erratic quality of secondary
school education in SA
[9]
also leads to
disadvantage, particularly for students
whose schooling is affected by sociopolitical
upheaval, poor teaching proficiency or lack
of adequate learning resources. This is not
limited to schools in rural areas or even
historically black residential areas such as
urban informal settlements.
In order to address socioeconomic dis-
advantage effectively, students from poor
backgrounds must have greater access to
bursaries and financial support for the
duration of their studies. As stated by the
WHO
[12]
in 2013: ‘It is clear that admission
procedures by themselves will not overcome
inequalities in healthcare systems. Where
targeted admission policies are used, support
mechanisms must be in place to ensure
conditions in which students are able to
complete programmes. … Currently many
students who do not complete their courses
Black Coloured Indian/Asian White
Oers, n
1 200
1 000
800
400
600
200
304
1 062
761
154
217
15 6
804
486
378
Oers made in 2013 Oers accepted in 2013
Other/SADC
0
Fig. 3. Number of oers made and oers accepted in 2013 for admission for medical training in 2014 at
all eight South African medical schools.
RESEARCH
81 January 2016, Vol. 106, No. 1
do so for financial reasons, so disadvantaged students would need
financial support.
[12]
Conclusion
The demographic profile of medical students selected at SA
universities is moving closer to the population distribution of SA.
However, the percentage of black students is still lower than that
in the general population, while white, Indian/Asian and coloured
students are overrepresented in relation to the general population.
Current policies target black and coloured students for selection
into undergraduate medical programmes across all medical schools
in SA. However, race-based selection policies may be inadequate
for addressing historical inequalities. Indices of disadvantage such
as origin in rural or underserved communities (possibly linked to
poorer educational opportunities) and socioeconomic status should
be considered to improve access. In compliance with international
trends, both academic and non-academic indicators are used in
the selection process. Stronger evidence is now needed to link
throughput, academic success and possibly even future career paths
to selection processes.
It is worth noting, however, that the quality and values of these
graduates – irrespective of where they come from – are influenced by
the training curriculum, quality of teaching and role models they are
exposed to once they are enrolled in medical school.
Acknowledgements. We thank Dr Daleen Struwig, Faculty of Health
Sciences, UFS, for technical and editorial preparation of the manuscript.
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