South African Family Practice
ISSN: (Online) 2078-6204, (Print) 2078-6190
Page 1 of 10
Registrars
Mastering your fellowship: Part 1, 2022
Authors:
Klaus B. von Pressentin1
Mergan Naidoo2
Gert Marincowitz3
Tasleem Ras1
The series, ‘Mastering your Fellowship’, provides examples of the different question formats
encountered in the written and clinical examinations, that is, Part A of the Fellowship of the
College of Family Physicians South Africa (FCFP SA) examination. The series is aimed at
helping family medicine registrars (and their supervisors) prepare for this examination.
Affiliations:
1
Division of Family Medicine,
School of Public Health and
Family Medicine, Faculty of
Health Sciences, University of
Cape Town, Cape Town,
South Africa
Keywords: family physicians; FCFP (SA) examination; family medicine registrars; postgraduate
training; national exit examination; infectious diseases.
Department of Family
Medicine, University of
KwaZulu-Natal, Durban,
South Africa
2
Department of Family
Medicine and Primary Health
Care, University of Limpopo,
Polokwane, South Africa
3
Corresponding author:
Klaus von Pressentin,
[email protected]
Dates:
Received: 21 Dec. 2021
Accepted: 21 Dec. 2021
Published: 28 Feb. 2022
How to cite this article:
Von Pressentin K, Naidoo M,
Marincowitz G, Ras T.
Mastering your fellowship:
Part 1, 2022. S Afr Fam Pract.
2022;64(1), a5481.
https://doi.org/10.4102/safp.
v64i1.5481
Copyright:
© 2022. The Authors.
Licensee: AOSIS. This work
is licensed under the
Creative Commons
Attribution License.
This section in the South African Family Practice Journal is aimed at helping registrars prepare for
the Fellowship of the College of Family Physicians South Africa (FCFP SA) Final Part A
examination and will provide examples of the question formats encountered in the written
examination: multiple-choice question (MCQ) in the form of single best answer (SBA – Type A)
and/or extended matching question (EMQ – Type R); short answer question (SAQ), questions
based on the critical reading of a journal (evidence-based medicine) and an example of an
objectively structured clinical examination (OSCE) question. Each of these question types is
presented based on the College of Family Physicians blueprint and the key learning outcomes of
the FCFP (SA) programme. The MCQs are based on the 10 clinical domains of family medicine,
the SAQs are aligned with the five national unit standards and the critical reading section will
include evidence-based medicine and primary care research methods.
This edition is based on unit standard one (critically reviewing new evidence and applying the
evidence in practice, principles of self-care and leading a clinical governance team) and unit
standard two (evaluate and manage a patient according to the bio-psycho-social approach). The
domain covered in this edition is infectious diseases. We suggest that you attempt answering the
questions (by yourself or with peers and/or supervisors) before finding the model answers
online: http://www.safpj.co.za/.
Please visit the Colleges of Medicine website for guidelines on the Fellowship examination:
https://www.cmsa.co.za/view_exam.aspx?QualificationID=9.
We are keen to hear about how this series is assisting registrars and their supervisors in preparing
for the FCFP (SA) examination. Please email us (
[email protected]) your feedback and suggestions.
Multiple-choice question: Single best answer
A 44-year-old patient, on a second-line antiretroviral treatment (ART) regimen for 2 years with a
history of treated multi-drug resistant tuberculosis (TB) (2 years ago) and Hepatitis B immune
from previous infection, presents with the following blood results (Table 1 and Table 2). She is on
Tenofovir (TDF), Emtricitabine (FTC) and Atazanavir/ritonavir (ATV/r):
• Two months ago: human immunodeficiency viruses (HIV) viral load 21 600 copies/mL; Log
conversion 4.33 Log (copies/mL)
• Now: HIV viral load 4713 copies/mL; Log conversion 3.67 Log (copies/mL)
Based on these blood results (Tables 1 and 2), what is the most appropriate treatment option for
her now?:
Read
Read online:
online:
Scan
Scan this
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QR
code
code with
with your
your
smart
smart phone
phone or
or
mobile
mobile device
device
to
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read online.
online.
a.
b.
c.
d.
e.
ATV/r; TDF; DTG
DRV/r; TDF; DTG
DRV/r; TDF; FTC
TDF, FTC, DTG
TDF; FTC; RPV
Short answer: c)
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TABLE 1: Resistance patterns for the patient (multiple-choice question scenario).
Protease inhibitors (PI)
Major resistance mutations I54V V82A
Minor resistance mutations L24I, L10V,
K20R, T74S
NRTI resistance mutations
D67N K219E K70R M184V
Atazanavir/r (ATV/r)
Intermediate resistance
Abacavir (ABC)
High-level resistance
Darunavir/r (DRV/r)
Susceptible
Zidovudine (AZT)
Intermediate resistance
Fosamprenavir/r (FPV/r)
Intermediate resistance
Stavudine (D4T)
Intermediate resistance
Indinavir/r (IDV/r)
High-level resistance
Didanosine (DDI)
Intermediate resistance
Lopinavir/r (LPV/r)
High-level resistance
Emtricitabine (FTC)
High-level resistance
Nelfinavir/r (NFV)
High-level resistance
Lamivudine (3TC)
High-level resistance
-
Tenofovir (TDF)
Low-level resistance
Saquinavir/r (SQV/r)
Intermediate resistance
-
-
Tipranavir/r (TPV/r)
Low-level resistance
-
-
Integrase inhibitors
Not tested
NNRTI resistance mutations
K103N
Dolutegravir (DTG)
-
Efavirenz (EFV)
High-level resistance
Elvitegravir (EVG)
-
Nevirapine (NVP)
High-level resistance
Raltegravir (RAL)
-
Etravirine (ETR)
Susceptible
-
Rilpivirine (RPV)
Susceptible
NRTI, nucleoside reverse transcriptase inhibitor.
TABLE 2: Stanford score based on the observed resistance profile.
ART drug
Stanford score
ATV
DRV
LPV
ABC
AZT
FTC
3TC
TDF
DTG
ETR
50
0
65
60
55
70
70
15
n/a
0
ART, antiretroviral therapy; ATV, Atazanavir; DRV, Darunavir; LPV, Lopinavir; ABC, Abacavir; AZT, Zidovudine; FTC, Emtricitabine; 3TC, Lamivudine; TDF, Tenofovir; DTG, Dolutegravir; ETR, Etravirine;
n/a, not applicable.
Expanded answer
More persons live with HIV today, and clinicians see more
patients failing second-line treatment. Persons living with
HIV (PLHIV) on ART have their viral loads (VLs) monitored
six months after commencing treatment and then yearly
once the VL is suppressed. When patients fail first-line
treatment, usually confirmed after enhanced adherence
counselling and re-testing of the VL, one usually switches to
a second-line regimen without doing resistance testing. The
situation becomes much more complicated when patients
fail the second-line regimen, especially if this is a PI-based
regimen. Treatment failure is confirmed when the VL is
greater than 50 copies/mL on two consecutive measurements
taken two to three months apart. Detectable VLs less than
1000 copies/mL, followed by an undetectable VL, are termed
‘viral blips’ and do not require an ART regimen change. The
reasons for detectable VLs include poor patient adherence,
resistance, and inadequate ART drug levels because of
altered pharmacokinetics, such as absorption difficulties or
drug-drug interactions. The ABCDE approach represents a
useful acronym for the busy clinician: adherence, bugs
(infections), correct dose, drug interactions, resistance.
Transcription errors and recombination result in replicating
HIV developing mutations resulting in drug resistance.
Prevention of drug resistance requires robust viral
suppression by ART. Resistance testing is conducted when
the PLHIV develops treatment failure of a second-line
regimen allowing the clinician to decide on third-line
treatment options. In the public sector, this is usually
co-managed with the third-line provincial committee.
Protease inhibitors-based regimens are generally more
durable and require resistance mutations to develop to result
in treatment failure. Treatment failure occurs typically after
2 years of treatment. Therefore, most experts recommend
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that resistance testing be conducted after the patient has been
on a PI-based regimen for at least two years. We currently do
genotype drug-resistant testing in the public sector. It is
important to do resistance testing while the patient is on a
drug regimen for at least four weeks. Wild-type virus tends
to predominate when PLHIV stop taking treatment obscuring
the resistance test results. Another important concept is that
of archived resistance (Nel et al. 2020):
[A]fter reverse transcription from its RNA template, HIV inserts
a DNA copy into the host genome. Some of the cells that HIV
infects are extremely long-lived and essentially provide an
‘archive’ of HIV variants over time. Thus, mutations known to
have been present at one point in time can be assumed to be
present for the patient’s lifetime, even if they are not visible on
the patient’s latest resistance test. (p. 15)
For the patient mentioned above, the resistant patterns are
discussed as follow:
I54V: a non-polymorphic PI-selected mutation that contributes
to reduced susceptibility to each of the PIs except DRV.
V82A: a non-polymorphic mutation selected primarily by IDV
and LPV. It reduces susceptibility to these PIs and contributes
cross-resistance to each of the remaining PIs except DRV and
TPV.
L24I: a non-polymorphic mutation selected by IDV and LPV.
It contributes reduced susceptibility to each PI except DRV
and TPV.
D67N: a non-polymorphic thymidine analogue mutations
(TAM) associated with low-level resistance to Zidovudine (AZT)
and Stavudine (D4T). When present with other TAMs, it
contributes to reduced susceptibility to ABC, Didanosine (DDI),
and TDF.
K219Q/E: are accessory TAMS associated with reduced
susceptibility to AZT and possibly D4T.
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K70R: causes intermediate resistance to AZT and possibly lowlevel resistance to D4T, DDI, ABC and TDF.
M184V/I: cause high-level in vitro resistance to Lamivudine
(3TC) and FTC and low-level resistance to DDI and ABC.
However, M184V/I are not contraindications to continued
treatment with 3TC or FTC because they increase susceptibility
to AZT, TDF and D4T and are associated with clinically
significant reductions in HIV-1 replication.
K103N: a non-polymorphic mutation that causes high-level
resistance to NVP and EFV.
The resistant mutations are also inputted into a Stanford
University online database to generate a Stanford total
penalty score (PI score in Figure 1). Each drug resistance
mutation is assigned a drug penalty score. The total penalty
score for each drug from the treatment history is derived by
adding the scores for each mutation (and combination of
mutations) associated with resistance to that drug. One of
five inferred drug resistance or sensitivity levels is then
assigned based on the total penalty score.
A penalty score of less than 10 is considered susceptible, 10 to
less than 15 is potential low-level resistance, 15–30 is lowlevel resistance, 30 to less than 60 is intermediate-level
resistance, and a score equal to or greater than 60 is highlevel resistance. This is a pragmatic approach adopted by
clinicians based on available evidence and protects future
options for the patient.
Darunavir has the highest barrier to resistance of any PI. For
patients with mutations that confer any degree of resistance
to DRV (e.g. I50V, L76V and I84V), the dose should be DRV/r
600 mg/100 mg twice daily. For patients without any DRV
mutations, the dose is 800 mg/100 mg once daily. Once-daily
dosing offers the benefits of reduced pill burden and better
side effect profile. Darunavir cannot be co-prescribed with
RIF-based TB treatment.
Pl score ≥ 15
DRV/r
+ 3TC or FTC
+ AZT or TDF
TDF/AZT ≥ 30
or
DRV/r ≥ 15
Add DTG
TDF/AZT ≥ 30
or
DRV/r ≥ 15
and
ETR < 30
So, if we have to relate the information provided to the
case above the following Stanford penalty score can be
inferred. In this scenario there is a major PI resistance
mutation and the score for LPV/r is > 15 (PI = 65). So, the
patient would get DRV/r (PI = O) + 3TC or FTC + AZT (PI
= 55) or TDF (PI = 15). In this instance, TDF has a lower
penalty score, so the regimen would be TDF/FTC/DRV/r.
Because the TDF penalty score is not > 30 and the DRV/r
(DRV) penalty score is not > 15, there is no need to add an
integrase stand transfer inhibitor (InSTI) Dolutegravir
(DTG).
Further reading
• Heller T, Ganesh P, Gumulira J, et al. Successful
establishment of third-line antiretroviral therapy in
Malawi: Lessons learned. Public Health Action.
2019;9(4):169–173. https://doi.org/10.5588/pha.19.0043
• Nel J, Dlamini S, Meintjes G, et al. Southern African HIV
clinicians society guidelines for antiretroviral therapy in
adults: 2020 update. S Afr J HIV Med. 2020;21(1):1–39.
https://doi.org/10.4102/sajhivmed.v21i1.1115
Short answer question: The family
physician’s role as a care provider
and consultant within the domain
of infectious diseases
You are working as a family physician in Limpopo. A newly
appointed community service doctor (CSD) working at a
local clinic, phones you for advice. He asks you about a
45-year-old married man who presented with a headache
and fever. At the clinic, he tested positive for malaria. He is
also known to be HIV-positive but defaulted treatment. He
came to the clinic with his current girlfriend. Your junior
colleague asks you for some advice on the management of
malaria as he did his internship in Cape Town:
1. What are the important issues that need to be considered
to make a clinical assessment? (8 marks)
2. What are the important aspects to consider in the
management plan? (3 marks)
3. What are the important contextual issues that you would
like to know about for the future care of this patient at the
clinic? (5 marks)
4. What ethical dilemmas can potentially be a problem in
the ongoing management of this patient? (4 marks)
Thired-line ART algorithm
X
Registrars
DRV/r
FTC
TDF
Total: 20 marks
Model answers
Add ETR
1. What are the important issues that need to be considered
to make a clinical assessment? (8 marks)
Source: Heller T, Ganesh P, Gumulira J, et al. Successful establishment of third-line
antiretroviral therapy in Malawi: Lessons learned. Public Health Action. 2019;9(4):169–173.
https://doi.org/10.5588/pha.19.0043
PI, protease inhibitors; ART, antiretroviral treatment; DTG, Dolutegravir; TDF, Tenofovir; AZT,
Zidovudine; DRV/r, Darunavir/r; ETR, Etravirine; FTC, Emtricitabine; 3TC, Lamivudine.
FIGURE 1: Algorithm for choosing a third-line regimen.
https://www.safpj.co.za
• Complicated malaria – as he is HIV-positive and defaulted
with an unknown CD4, he should be assessed as
complicated malaria. (1 mark)
• Is he local or a traveller? Has he taken prophylaxis?
(0.5 marks)
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• Other features of complicated malaria (not able to walk,
persistent
vomiting,
jaundice,
confused/altered
consciousness, respiratory distress, dehydrated, pale,
hypoglycaemia/ capillary blood glucose) (4 marks)
• HIV – what is his current status? World Health
Organization (WHO) stage? CD4 count/VL? (0.5 marks)
• Previous treatment, adherence history (intermittent or
stopped abruptly), reasons for defaulting? (1.5 marks)
• Symptoms of TB? (0.5 marks)
2. What are the important aspects to consider in the
management plan? (3 marks)
• Needs to be referred to hospital.
• Monitor and stabilise in clinic.
• Start oral dose of artemether-lumefantrine (Co-artem):
4 tablets. These need to be taken with a fatty meal to
enhance absorption. Consider the patient’s weight and
dose adjustments as required. The first dose should be
taken in the clinic and the patient needs to be observed
for vomiting. Warn the patient of important side effects
(safety netting).
3. What are the important contextual issues that you
would like to know about for the future care of this
patient at the clinic? (5 marks)
• Location and ease of access to the clinic?
• Household members – wife, children, infants who could
be HIV exposed. Risk of exposure to HIV or possibly TB
and potential adherence support/care?
• Extended family and other social support.
• Sexual partners – girlfriends?
• Employment/income/food security?
• Consider malaria prevention education/measures at the
clinic, especially in an endemic area, as there are several
non-drug measures which may be considered, for
example, light coloured long sleeve clothing at dusk and
dawn, use of 50% diethyltoluamide (DEET) products,
DEET impregnated sleeping nets, fans, and so on.
Important to educate patients who although may be
semi-immune in an endemic area, this protective factor is
lost as soon as they move out of that area, which may
result in more complicated malaria.
• Consider long-term prophylaxis in high-risk groups such
as persons living with HIV.
4. What ethical dilemmas can potentially be a problem in
the ongoing management of this patient? (4 marks)
• Disclosure of HIV status to his wife and girlfriends is the
key issue. (1 mark)
• Respect for patient’s autonomy (right to confidentiality)
versus justice (rights of third parties to information
regarding their health). Beneficence (doing good) and
non-maleficence (avoiding harm) should only be
discussed in relation to the index patient. Ability to
identify the ethical principles. (1 mark)
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• If he refuses to discuss his HIV status with either girlfriend
or wife, it endangers their lives. They also have the right
to the truth and their own health and wellness as well as
associated children. The doctor should discuss disclosure
with the patient to his girlfriend that is known and
present, and if he refuses and it poses no risk to the safety
of the girlfriend, tell the patient that you as the doctor is
obliged to disclose to the girlfriend (and wife if she is
known), especially as they may also be patients known to
you or the clinic. Understanding this recommendation.
(1 mark)
• The ability of the patient to discuss disclosure should be
considered as he is acutely ill and may even be confused.
Perceiving this issue. (1 mark)
Further reading
• National Department of Health. National guidelines for
the treatment of malaria, South Africa [homepage on the
Internet]. 2019 [cited 2021 Dec 09]. Available from:
h t t p s : / / w w w . h e a l t h . g o v. z a / w p - c o n t e n t /
uploads/2020/11/national-guidelines-for-the-treatmentof-malaria-south-africa-2019.pdf
• Brits H. Approach to fever. In: Chapter 5: An approach to
common symptoms. In: Mash B, editor. Handbook of
family medicine. 4th ed. Cape Town: Oxford University
Press, 2017; p. 205–208.
• Adeniyi O, Sogbanmu O, Yogeswaran P. Management of
HIV and AIDS. In: Chapter 6: Managing common
conditions. In: Mash B, editor. Handbook of family
medicine. 4th ed. Cape Town: Oxford University Press,
2017; p. 263–272.
• Moodley K. Chapter 10: Family medicine ethics. In Mash
B, editor. Handbook of family medicine. 4th ed. Cape
Town: Oxford University Press, 2017; p. 406–429.
Critical appraisal of quantitative
research
Read the accompanying article carefully and then answer the
following questions (total 30 marks). As far as possible use
your own words. Do not copy out chunks from the article. Be
guided by the allocation of marks concerning the length of
your responses.
• Said RM, Salem GM. Effect of telephone counselling on
the knowledge, attitude and practices of contacts of
confirmed coronavirus disease 2019 (COVID-19) cases in
Egypt. African Journal of Primary Health Care & Family
Medicine. 2021;13(1):a2852. https://doi.org/10.4102/
phcfm.v13i1.2852
1. Critically appraise the strength of the argument for the
scientific value of the study – how did they justify doing
the study? (6 marks)
2. Critically appraise the authors’ choice of study design, by
comparing a randomised vs non-randomised approach
to designing a trial to study a public health intervention
in terms of benefits and limitations. (6 marks)
3. Critically appraise the piloting of the study instrument in
terms of validity and reliability. (6 marks)
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4. Critically appraise the sample size and sampling method
employed by the researchers. (4 marks)
5. What is the importance of ensuring complete follow-up
between the compared groups across the study period?
(2 marks)
6. Use a structured approach (e.g. READER) to illustrate
what issues arise from this paper when you consider
deciding if this study is likely to change your practice.
(6 marks)
Model answers
1. Critically appraise the strength of the argument for the
scientific value of the study – how did they justify doing
the study? (6 marks)
• In this paper, the authors argued for the role of contact
tracing as an effective public health intervention to
control sporadic and clusters of cases before they can
spread the infection in pandemic such as COVID-19. The
authors mention the presence of ‘numerous studies’
which have shown how health education can play a role
in affecting the knowledge, attitudes and practices (KAP
theory) of target audiences. The studies cited in the
references were conducted in other public health
emergencies, such as Ebola and severe acute respiratory
syndrome (SARS) outbreaks, in pre-COVID-19 times.
• The authors then make the case for the role of e-health
(electronic means of providing health services) and
telephone calls as a simple e-health technique, to enhance
the reach of health education among people who are
experiencing barriers to reach care or receive face-to-face
health education.
• The authors argue for telephone calls but admit to the
varied effect of this modality and the ambivalence in the
literature, when considering its role in telephonic
counselling (such as in smoking cessation, a selfmanagement programme for elderly people with
osteoarthritis and psychosocial adjustment in women
following a cardiac event).
• While there is merit to consider the value of telephonic
counselling in health promotion based on the KAP theory
in pandemic conditions, it is not clear how the ambivalence
cited in the literature supports the argument for telephonic
counselling, especially in the examples cited, which
represent a range of health promotion scenarios with
different levels of complexity and chronicity (from selfmanagement to psychosocial adjustment).
• It may be an oversimplified approach to look at health
promotion as an umbrella term without considering the
complexities of the condition of interest. Nevertheless,
the condition of interest here has social value (COVID-19
pandemic), and the need to find an efficient way to
provide health promotion to contacts is justified.
• The scientific argument for the use of telephonic
counselling is described to some degree, but a more
granular approach to differentiating and comparing
health promotion modalities for different conditions
would have been better. Understandably, the word count
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available for a published paper limits the extent of the
argument; however, the scope and focus of the engagement
with the available literature appears to be limited.
Additional information (not part of model answer): The argument
for the scientific value of a study is found in the literature
review section of a scientific paper which is often integrated
in the introduction or background section of the paper. This
literature review should address two main issues, namely,
what is already known about the topic, and highlighting the
gaps in the knowledge field which the research will be
addressing. The approaches taken by other researchers
should be considered and the information presented with a
critical lens (with the goal of evaluating and arguing the
value of the contributions cited).
2. Critically appraise the authors’ choice of study design, by
comparing a randomised vs non-randomised approach to
designing a trial to study a public health intervention in
terms of benefits and limitations. (6 marks)
• The authors chose to use a non-randomised controlled
trial.
• When critically appraising a study design choice, it is
important to consider their question and aspects of
internal and external scientific validity. While the authors
did not clarify the rationale behind their choice of the
study design, one may view the study objective of
assessing the effect of telephonic counselling on KAP of
contacts of COVID-19 confirmed cases as a healthcare
intervention.
• Non-randomised studies of the effects of interventions
(NRSI) are critical to many areas of healthcare evaluation
of public health interventions, but their results may be
biased. It is therefore important to understand and
appraise their benefits and limitations. Designs of NRSI
that can be used to evaluate the effects of interventions
include observational studies such as cohort studies and
case-control studies in which intervention groups are
allocated during usual treatment decisions, and nonrandomised studies in which the method of allocation is
not randomised. Non-randomised studies can provide
evidence additional to that available from randomised
control trials about long-term outcomes, rare events,
adverse effects, and populations that are typical of realworld practice. For many types of organisational or
public health interventions, NRSI are the main source of
evidence about the likely impact of the intervention
because randomised trials are difficult or impossible to
conduct on an area-wide basis. Table 3 compares some of
the benefits and limitations of randomised and nonrandomised trials.
• For this study, it made sense to select a non-randomised
controlled trial design, given the low prevalence of the
condition of interest (the study was conducted during the
early phase of the pandemic with low communitytransmission numbers: March 2020 – April 2020). The
researchers wished to study the effect of a telephonedelivered public health intervention consisting of
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TABLE 3: Benefits and limitations between randomised vs non-randomised
trials.
Study design
Benefits
Limitations
Randomised trials The study groups are
comparable and balanced
with respect to known or
unknown risk factors.
The intervention is
allocated at random or
using a quasi-random
method of systematic
allocation. This allocation
counteracts possible biases
of the researchers.
Ethical concerns: randomisation is
not possible when depriving a
participant from a treatment
option which may improve his or
her condition.
Another disadvantage based on
ethical reasons is that participants
may need to be told that they are
part of a trial, which may affect
their behaviour and response to
questions (this is especially
problematic in trials that are not
blinded nor use an objective
outcome measure).
It is not possible to conduct this
type of study design when the
prevalence of the targeted
population is low.
Non-randomised
trials
Study groups may not be
comparable.
The assignment of participants to
study groups may be biased.
Baseline characteristics are used to
adjust for imbalances. These
variables may include demographic
and socio-economic characteristics
and other covariates potentially
associated with outcome and
intervention. It is therefore
important to measure the
outcome of interest at baseline to
counteract possible confounders.
The method of allocation
of participants to study
groups is not randomised
(the assignment to groups
is not dependent on
chance). Allocation is done
by the investigator or the
implementer, for example,
based on logistics or needs.
It may be easier to create
study groups with
matching characteristics
using a non-randomised
design.
Source: Colombo D, Cipresso P, Pedroli E, Riva G. Setting-up a clinical trial: Some methodological
recommendations. Anuario de Psicología. 2017;47(3):130-139. https://doi.org/10.1016/j.
anpsic.2017.12.001; Schmidt WP. Randomised and non-randomised studies to estimate the
effect of community-level public health interventions: Definitions and methodological
considerations. Emerg Themes Epidemiol. 2017;14(9). https://doi.org/10.1186/s12982-0170063-5
Note: The model answer is meant to include one advantage and disadvantage for each design.
intensive telephone counselling (direct telephone
conversations on scheduled alternative days and during
any emergency, and continuous WhatsApp contact
through text messages or voice calls for any non-urgent
questions).
Total: 6 marks – The four bullet points (4 marks) and one advantage
and disadvantage for each design in Table 3 (2 marks).
3. Critically appraise the piloting of the study instrument
in terms of validity and reliability. (6 marks)
•
Validity (3 marks):
� The authors chose to modify an existing questionnaire
(study instrument) used previously among Chinese
residents during the ‘rapid rise’ period of the
COVID-19 outbreak (see title of reference 12). The
instrument is available in Appendix 1 of the paper.
The questionnaire was modified by adding new
questions in the attitudes and practices sections to
ensure enhanced suitability or validity (the accuracy
of measuring the outcome of interest: the effect of
the telephonic counselling on the KAP of participants
in the intervention or experimental group).
� The authors used three Egyptian experts to assist with
ensuring content validity (the extent to which the
question content of the survey is relevant to the study
aim). Relevance was gauged using a four-points
rating score.
� However, it is not clear if they ensured face validity
(ensuring that the respondents will understand the
questions) and construct validity (the extent to which
different sections of the survey are closely associated
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and allow for an in-depth and comprehensive
exploration of the topic).
• Reliability (3 marks):
� For reliability, the authors piloted the study
instrument with the contacts of COVID-19 cases in the
first two areas where COVID-19 began to appear.
These results were excluded from the main dataset.
The authors employed the same methods they
planned to use in the main study.
� The statistical test, Cronbach’s alpha, was used to
measure internal consistency (reliability), which
examines the similarity of answers to different
questions about the same concept. This test is
especially applicable to Likert-scale or multiplechoice questions. The Cronbach’s alpha result was
0.75, which indicated an acceptable internal
consistency. (More information, not necessarily part
of the model answer: A general accepted rule is that a
Cronbach’s alpha of 0.6–0.7 indicates an acceptable
level of reliability, and 0.8 or greater a very good level.
However, values higher than 0.95 are not necessarily
good, because they might be an indication of
redundance).
� The authors did not test inter-rater reliability (to
ensure that the questions are delivered in the same
way by different researchers), presumably because
only the researchers phoned the participants for the
telephonic survey (it is not stated explicitly, but one
assumes that only the two named authors were
conducting the phone calls). It is essential that the
outcomes are measured in a reliable way by the study
instrument, as unreliability of outcome measurements
(here the KAP theory) is one threat that weakens the
validity of inferences about the statistical relationship
between the ‘cause’ and the ‘effect’ estimated in a
study exploring causal effects.
4. Critically appraise the sample size and sampling
method employed by the researchers. (4 marks)
• Sample size (2 marks):
� The authors calculated a sample size of 182
participants by using the improved KAP scores from
the small pilot study (16 contacts in the control group
and 22 contacts in the experimental group). The
authors considered a dropout of 20% to increase the
total calculated sample size to 218 participants to be
divided equally between the study groups. During
the study period (26 March 2020 – 12 April 2020), all
COVID-19 contacts appearing in consecutive clusters
were assigned to the two study groups (104
participants in each group, 208 in total – see sociodemographic characteristics of the groups in Table
2-A1 of the paper Said & Salem 2021: the first six
clusters were the control group, and the next four
clusters were the experimental group. The response
rate was 100% at baseline.
� This means that the authors were able to recruit more
participants than the calculated sample size, which
represents a sound result to ensure that the study is
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adequately powered to answer the research question
and detect the difference in measurement between the
two groups (the magnitude of the difference between
groups is also called the effect size).
•
Sampling method (2 marks):
� The consecutive approach made sense, especially by
assigning the first clusters to the control group to
ensure that these participants were not exposed to the
public health intervention.
� The baseline socio-demographic characteristics
(such as age, gender, rural vs urban residence,
education/literacy level and employment status) of
the groups were not statistically different. This is
important, as the differences between participants
included in compared groups constitute a threat to
the internal validity of a study exploring causal
relationships. If there are differences between
participants included in compared groups, there is a
risk of selection bias. If there are differences between
participants included in the compared groups, it
may mean that the ‘effect’ cannot be attributed to the
potential ‘cause’, as it may be plausible that the
‘effect’ may be explained by the differences between
participants, that is, by selection bias.
5. What is the importance of ensuring complete follow-up
between the compared groups across the study period?
(2 marks)
• In this study, follow-up appeared to be complete with no
reported loss to follow-up. Any differences with regard
to the loss to follow up between the compared groups
may represent a threat to the internal validity of a study
exploring causal effects as these differences may provide
a plausible alternative explanation for the observed
‘effect’ even in the absence of the ‘cause’ (the treatment or
exposure of interest).
• In the situation of loss to follow-up, it would be essential
to describe the reasons for loss to follow-up accurately, as
well as to analyse the patterns of loss to follow-up, as this
may impact on the results.
6. Use a structured approach (e.g. READER) to illustrate
what issues arise from this paper when you consider
deciding if this study is likely to change your practice.
(6 marks)
The READER format may be used to answer this question:
• Relevance to family medicine and primary care?
• Education – does it challenge existing knowledge or
thinking?
• Applicability – are the results applicable to my practice?
• Discrimination – is the study scientifically valid enough?
• Evaluation – given the above, how would I score or
evaluate the usefulness of this study to my practice?
• Reaction – what will I do with the study findings?
The answer may be a subjective response, but should be one that
demonstrates a reflection on the change or possible changes within
the student’s practice in the South African public healthcare
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system. It is acceptable for the student to suggest how his or her
practice might change, within other scenarios after graduation
(e.g. private general practice). The reflection on whether all
important outcomes were considered is therefore dependent on the
reader’s own perspective (is there other information you would
have liked to see?).
A model answer could be written from the perspective of the family
physician employed in the South African district health system:
• R: This study is relevant to the African primary care
context, as the COVID-19 pandemic has affected all
regions of the world and there is a need to look at lowcost public health interventions to influence the KAP of
community members, especially regarding the education
of COVID-19 contacts on how best to practise infection
and control measures.
• E: The authors motivated for the effectiveness of telephonic
counselling but acknowledged that the lack of long-term
follow-up precluded them from demonstrating maintenance
of preventative behaviour over a longer period. The authors
recommended that health authorities should be more aware
of the potential of telephone counselling during the
surveillance of COVID-19 contacts as an accessible, safe and
reliable method to improve their KAP. However, this
recommendation appeared true during the emerging phase
of the pandemic, and it is not known if these recommendations
will hold true over time.
• A: In this study, an array of public health interventions has
been implemented and health promotion communication
has been delivered via a wide range of modalities. It would
therefore be difficult to replicate the study in our setting,
given the likelihood of confounding covariates. The study
setting (Sharkia Governorate, Egypt) is also different from
the typical Southern African setting – however, the study
setting description is limited with only references to a rural
and urban distribution. It would therefore not be possible
to generalise the study findings to the wider South African
setting.
• D: In terms of discrimination, the study method of a
non-randomised controlled trial appears to be
appropriate to measure the effects of public health
interventions, especially if the condition of interest has a
low prevalence, which was the case at the start of the
pandemic in the Egyptian study setting (March/April
2020). However, the pandemic has since expanded
dramatically with different variants of the virus
transmitted at community level and the roll-out of
vaccination programmes.
• E: It is unlikely that this study will affect a change in
policy direction, largely because of its limitations, but it
could help make the case for further research of a more
robust design.
• R: The study may be discussed with the local clinical
team and used as a basis for reviewing the available
options of health promotion interventions. It may also be
good to explore the feasibility, acceptability and costOpen Access
Page 8 of 10
effectiveness of locally relevant health promotion
communication interventions.
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• As this is a chronic mental health consultation, a physical
examination is not required.
Instructions to the examiner
Further reading
• Mash B, Ogunbanjo GA. African primary care research:
Quantitative analysis and presentation of results. Afr J Prim
Health Care Fam Med. 2014;6(1):1–5. https://doi.org/
10.4102/phcfm.v6i1.646
• Pather M. Evidence-based family medicine. In: Mash B,
editor. Handbook of family medicine. 4th ed. Cape Town:
Oxford University Press, 2017; p. 430–453.
• Ball L, Barnes K. How to conduct a survey in primary
care. In: Goodyear-Smith F, Mash B, editors. How to do
primary care research. 1st ed. Boca Raton, FL: CRC Press,
2019; p. 167–175.
• Joannabriggs.org. Critical appraisal tools – JBI [homepage
on the Internet]. 2021 [cited 2021 Nov 22]. Available from:
https://jbi.global/critical-appraisal-tools
• MacAuley D. READER: An acronym to aid critical reading
by general practitioners. Br J Gen Pract. 1994;44(379):83–85.
• Des Jarlais DC, Lyles C, Crepaz N, Trend Group. Improving
the reporting quality of nonrandomized evaluations of
behavioral and public health interventions: The TREND
statement. Am J Publ Health. 2004;94(3):361–366.
https://doi.org/10.2105/AJPH.94.3.361
• Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I: A
tool for assessing risk of bias in non-randomised studies
of interventions. BMJ. 2016;355:i4919. https://doi.
org/10.1136/bmj.i4919
• Schmidt WP. Randomised and non-randomised studies to
estimate the effect of community-level public health
interventions: Definitions and methodological considerations.
Emerg Themes Epidemiol. 2017;14(1):1–1. https://doi.
org/10.1186/s12982-017-0063-5
Objectively structured clinical
examination station scenario
Objective
This station tests the candidate’s ability to care for a
patient with long COVID-19 symptoms and persistent
tachycardia.
Type of station
Objectives
This station tests the candidate’s ability to care for a patient
with long COVID-19 symptoms:
• This is an integrated consultation station in which the
candidate has 15 min.
• Familiarise yourself with the assessor guidelines which
details the required responses expected from the candidate.
• No marks are allocated. In the marks sheet (Figure 2), tick
off one of the three responses for each of the competencies
listed. Make sure you are clear on what the criteria are for
judging a candidate’s competence in each area.
• Provide the following information to the candidate when
requested: see examination findings and investigations
below.
• Please switch off your cell phone.
• Please do not prompt the student.
• Please ensure that the station remains tidy and is reset
between candidates.
Guidelines to examiner
Working definition of competent performance
The candidate effectively completes the task within the
allotted time, in a manner that maintains patient safety,
even though the execution may not be efficient and wellstructured.
Establishes a good doctor-patient relationship
The competent candidate acts within the ethical framework
(respects autonomy, justice, non-maleficence, beneficence).
In addition, the good candidate displays empathy and
compassion, acknowledging the patient’s discomfort and the
anxiety related to ongoing physical symptoms.
Gathering information: History-taking,
examination and investigations
The competent candidate gathers sufficient information to
identify current medical issues (severe functional impairment
Integrated consultation.
Observable Professional Activity
(OPA)
Role player
1. Establishes and maintains a good
doctor-patient relationship
Comment:
Young man or woman.
2. Gathering information:
history-taking, examination and
investigations
Comment:
Instructions to the candidate
3. Clinical reasoning:
Comment:
• You are the family physician overseeing the primary care
clinic. The following patient comes to see you, having
been seen by the medical officer a week ago, and having
had some blood tests.
• Please consult with the patient and manage accordingly.
4. Explaining and planning
Comment:
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Candidate’s rating
Not competent Competent
5. Management: including rational
prescription
Comment:
FIGURE 2: Marking sheet for consultation station.
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Good
Page 9 of 10
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because of tiredness; fear of COVID-19-related heart condition) and
identify any ongoing biopsychosocial risks. In addition, the
good candidate explores the patient’s experience, fears (fear of
permanent disability because of persistent drowsiness and lack of
motivation; employment prospects) and expectations, healthseeking behaviour and identifies opportunities for health
promotion (optimising healthy lifestyle choices; explores vaccination
attitude).
•
•
•
•
•
•
Clinical judgement
Role player instructions
The competent candidate uses available evidence to make the
correct working diagnosis (long COVID-19, with persistent
tachycardia and emotional component). The good candidate is able
to make a comprehensive three-stage assessment (as for
‘competent’ + fear of disability; impact on occupational function;
potential influence of contextual factors).
Explaining and planning
Blood results:
Haemaglobin: 13.4 g/dL
White cell count: 8.7 (4.0–11.0 × 10E9/L)
Lymphocytes 1.58 (1.00–4.00 × 10E9/L)
C-reactive protein: 25
Creatinine 75
Thyroid stimulating hormone: 1.2
Appearance and behaviour
A young man and woman
Opening statement
‘Dr, I was here last week, and your colleague did some blood
tests’.
History
The competent candidate clearly explains the working diagnosis
[no jargon; comprehensive; simple language] and possible
interventions. In addition, the good candidate provides a
platform for the patient to engage as an equal partner in
sharing information, and decision-making.
Management
The competent candidate uses current evidence-based
guidelines to develop a management plan (symptomatic
therapy, avoids over-medicating, information-sharing, provides
safety netting and ECG to exclude dysrhythmia; plans for
vaccination). In addition, the good candidate develops a
comprehensive plan using the biopsychosocial approach (as
for ‘competent’ + counsels the patient on the loss of function and
offers assistance with occupational health referral, mentions/refers
to the multidisciplinary team; identifies the need for structured
follow-up plan).
Examination findings and investigations
Vital signs:
• Blood pressure: 125/75; heart rate: 116/min; respiratory
rate: 14/min; body mass index: 24; temperature: 36.4 °C
• No jaundice, pallor, lymphadenopathy, clucking,
cyanosis, or oedema
Systemic exam:
• Ear nose and throat system: no abnormalities of note.
• Respiratory system: equal air entry bilaterally, normal
work of breathing, no abnormalities on auscultation, tidal
volume seems normal.
• Cardiovascular system: all pulses present and easily
palpable, no bruits over major arteries, heart sounds
normal, no murmurs.
• Abdominal system: soft, non-tender.
• Central nervous system: normal gross and fine motor
control, sensation intact globally, cognitively normal
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Open responses: Freely tell the doctor
• You are 29 years old and recovered from COVID-19
five weeks ago. Had positive nasal swab. Not sure where
you got it from. Not vaccinated, but willing to go.
• You have persistent palpitations and feel weak and tired
all the time since you had COVID-19.
• You were sick with COVID-19, symptoms lasted 2 weeks,
but there was no need for hospitalisation. Your oxygen
levels remained more than 95%. The main symptoms
were high fever, cough, extreme tiredness, body pains
and loss of smell/taste.
• You have been taking Zinc, Vitamin C and Vitamin D
every day since you found out you had COVID-19.
Closed responses: Only tell the doctor if asked
• Fears:
� You are a trainee manager at a clothing store, and
your productivity has taken a massive hit because of
your very low energy levels.
� You worry that this is a permanent post-COVID-19
condition and that you may feel like this forever.
� Very worried that COVID-19 damaged your heart.
Social history
• Single, living alone, and not in a romantic relationship at
the moment.
• You used to play soccer with friends twice a week but
cannot any longer.
• Friends are supportive on social media but hardly visit –
they have their own lives.
If the doctor asks specific questions
• Mood:
� Feel worried about this tiredness but want to get back
to normal to start enjoying life again. Hopeful that
there will be a solution.
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• You enjoy soccer – played about 3–4 h per week preCOVID, now no energy for this.
• Habits: weekends are usually about partying and
lots of alcohol, occasionally cocaine. Smokes about
10 cigarettes/day since age 20 years.
Authors’ contributions
Further reading
Ethical considerations
• Mendelson M, Nel J, Blumberg L, et al. Long Covid: An
evolving problem with an extensive impact. S Afr Med J.
2021;111(1):10–12. https://doi.org/10.7196%2FSAMJ.2020.
v111i11.15433
This article followed all ethical standards for research without
direct contact with human or animal subjects.
Acknowledgements
This research received no specific grant from any
funding agency in the public, commercial or not-for-profit
sectors.
The authors would like to thank Dr Michele Torlutter
(University of Witwatersrand) for her help with providing
access to the questions used in past papers, as well as peerreviewing of the model answers. The authors also thank Prof.
Andrew Ross (University of KwaZulu-Natal) and Dr John
Mbaya for their help with peer reviewing the model answers.
K.B.v.P., M.N., G.M. and T.R. contributed equally to the
design and implementation of the research, analysis of the
results and writing of the manuscript.
Funding information
Data availability
Data sharing is not applicable to this article as no new data
were created or analysed in this study.
Competing interests
Disclaimer
The authors declare that they have no financial or personal
relationships that may have inappropriately influenced them
in writing this article.
The views and opinions expressed in this article are those of
the authors and do not necessarily reflect the official policy or
position of any affiliated agency of the authors.
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