WACP Primary common mistakes
WACP Primary · Understand the traps and how to avoid them.
In community health questions, jumping straight to the intervention (e.g., 'start a health education campaign') without first stating the diagnosis of the community problem and the data that supports it.
Candidates trained in clinical medicine want to act on the individual patient in front of them and skip the population-level step of defining the problem, quantifying it, and identifying its determinants. Community health questions are structured around the epidemiological sequence, and marks are awarded for demonstrating that sequence.
What to do instead
Before answering any community health scenario, write out four lines in your rough work: (1) what is the problem, (2) in whom and how often (incidence/prevalence, numerator and denominator), (3) what are the determinants, (4) what intervention addresses those determinants. Only then select the option that matches step 4. If an option describes an intervention without a preceding assessment, it is usually the distractor.
Confusing the levels of prevention: labelling screening of asymptomatic people as primary prevention, or labelling treatment of established disease as secondary prevention.
The terms are taught early and then used loosely in clinical conversation, so candidates carry a fuzzy working definition into the exam. The examiner uses the strict definition (primary = before disease occurs; secondary = detect and treat early asymptomatic disease; tertiary = limit disability from established disease).
What to do instead
Memorise the anchor examples: immunisation, condom promotion, and smoking prevention are primary; cervical cytology, mammography, and blood pressure screening in asymptomatic adults are secondary; rehabilitation after stroke and diabetic foot care are tertiary. When an option mentions a test on a person with no symptoms, ask 'does this detect disease already present?' If yes, it is secondary, not primary.
Misreading study-design questions by choosing the design that can answer the question in principle rather than the one that can answer it within the stated constraint (time, rarity of outcome, ethical limits).
Candidates recall that a randomised controlled trial is the strongest design and default to it, ignoring that the stem specified a rare outcome or a 6-month data collection window. The question tests whether the candidate can match design to constraint, not whether they know the hierarchy of evidence.
What to do instead
For every study-design item, underline the constraint words first (rare, common, short follow-up, ethical concern, exposure already assigned). Then apply the mapping: rare outcome or long latency means case-control or historical cohort; common outcome with short follow-up means cohort or RCT; exposure not assignable means observational design. Eliminate any option that cannot deliver the outcome within the stated timeframe before considering strength of evidence.
In family medicine items, giving a disease-centred answer (investigate exhaustively, refer to specialist) when the stem is testing a patient-centred or continuity-of-care approach.
Hospital-based training rewards thoroughness and escalation, and candidates transfer that reflex. Family medicine questions often reward watchful waiting, safety-netting, shared decision-making, and use of the ongoing doctor-patient relationship, which feel less 'active' and are therefore under-selected.
What to do instead
When a family medicine stem describes an undifferentiated, low-risk presentation, scan the options for one that combines a clear safety-net plan with continuity (review in a defined time, specific red flags to return with, same clinician follow-up). Prefer that option over immediate referral or a battery of tests unless the stem gives a red flag. Practise by writing the safety-net sentence yourself before reading the options.
Failing to apply the pretest probability and instead ordering the most sensitive test available, or interpreting a positive result as diagnostic without considering prevalence.
Candidates conflate sensitivity with diagnostic value and have not internalised how much a positive predictive value falls when prevalence is low. Exam items deliberately set a low-prevalence population (screening) to see whether the candidate recognises the false-positive burden.
What to do instead
Before choosing a test, state the pretest probability out loud in rough notes. Then apply the rule: in a low-prevalence setting, a positive result on a highly sensitive test needs confirmation by a more specific test. Choose the option that sequences a sensitive test followed by a specific confirmatory test, and reject options that treat a single positive screen as a diagnosis.
In internal medicine items, treating a single abnormal value as a diagnosis without confirming it (e.g., diagnosing hypertension or diabetes from one reading) or failing to look for the secondary cause when the stem gives a clue.
Exam stems present a single number because of space, and candidates take it at face value. Real diagnostic criteria require repeat or confirmatory measurement, and the examiner often builds the correct option around confirmation while offering the immediate-diagnosis option as a trap.
What to do instead
For any metabolic or blood pressure item, first check whether the stem already states confirmation. If it does not, choose the option that confirms (repeat measurement, HbA1c, ambulatory monitoring) before treatment. Separately, when the stem adds an atypical feature (young age, resistant disease, electrolyte disturbance, weight change), add 'screen for secondary cause' to your answer before selecting the treatment option.
In laboratory medicine, interpreting a test result in isolation without reference to the specimen type, collection timing, or pre-analytical factors that could explain it.
Candidates focus on the number and the reference range and overlook that haemolysis, delayed processing, fasting status, posture, or diurnal variation can produce an abnormal result that is not pathological. Items are written to reward recognition of pre-analytical error.
What to do instead
Before accepting any abnormal laboratory value in a stem, run a three-question check: was the specimen collected correctly, was it processed in time, and does the pattern fit the clinical picture? If the stem mentions a difficult venepuncture, a delay in transport, or a non-fasting sample, consider the pre-analytical explanation as the answer and choose 'repeat the test correctly' over 'investigate for disease'.
In paediatrics, applying adult normal ranges and adult dosing to children, or missing that the child's age changes the differential entirely (e.g., treating a febrile neonate as low risk).
Most clinical exposure is adult medicine, and adult values are over-learned. Paediatric items exploit the age-dependent thresholds: a febrile infant under 28 days is a different risk category from a febrile 3-year-old, and weight-based dosing is not a simple fraction of the adult dose.
What to do instead
For every paediatric stem, write the age and weight at the top of your notes before reading the options. Then apply age-specific rules: any febrile neonate under 28 days needs full sepsis evaluation and admission regardless of appearance; weight-based dosing must be calculated explicitly rather than estimated. Reject any option that quotes an adult threshold without adjusting for age.
In psychiatry, missing organic causes or failing to screen for risk (suicide, self-harm, harm to others) before committing to a functional diagnosis or a treatment plan.
Candidates are drawn to the psychiatric label that fits the described mood or behaviour and stop there. Examiners build stems with subtle organic clues (new onset in older age, fluctuating consciousness, physical symptoms, medication started recently) and expect risk assessment to be addressed in every case.
What to do instead
Adopt a fixed two-step routine for every psychiatry item: first, list what would exclude an organic cause (age of onset, level of consciousness, focal neurology, recent drug or medication change, thyroid or B12 status) and check the stem against that list; second, confirm that risk has been assessed. If an option commits to a diagnosis or discharges the patient without addressing risk, eliminate it.
In psychiatry, over-relying on a single feature to distinguish between closely related disorders (e.g., using low mood alone to separate depressive disorder from bipolar disorder or adjustment disorder) instead of checking duration, functional impairment, and history of elevated mood.
Candidates memorise one hallmark symptom per disorder and match on that symptom, but classification depends on a cluster, a duration threshold, and the presence or absence of a manic or hypomanic history. The stem is usually written so that the single symptom fits two options.
What to do instead
For any diagnostic psychiatry item, build a four-row grid before reading the options: duration, functional impairment, presence of psychotic features, and past history of elevated mood or energy. Fill it from the stem, then eliminate options that conflict with any row. In particular, always ask whether a manic or hypomanic episode has ever occurred before selecting a unipolar depressive diagnosis.