Cambodia Pharmacy Exit Exam common mistakes
Cambodia Pharmacy Exit Exam · Understand the traps and how to avoid them.
When asked to calculate a compounded preparation (e.g., a percentage strength, an isotonic dilution, or a pediatric dose from a stock solution), the candidate writes only the final number with no unit and no working, and reports a value in the wrong unit (mg instead of g, or mg/mL instead of % w/v).
Under exam time pressure candidates do the arithmetic mentally, skip dimensional analysis, and treat units as decoration. Cambodian pharmacy training often emphasizes dispensing practice over formal calculation drills, so the habit of writing a full equation with cancelled units is not automatic.
What to do instead
Adopt a fixed three-line template for every calculation: (1) write the known values with units, (2) write the equation with units cancelling, (3) write the answer with unit and a sanity check (does the dose fall in a plausible therapeutic range?). Practise 20 conversion-and-dilution problems per week until the template is automatic, and always re-derive percentage strength as g per 100 mL before answering.
The candidate describes a stability or quality-control problem only in general terms ('it degrades', 'the assay failed') without naming the specific degradation pathway, the ICH/climatic zone condition, or the acceptance criterion that was breached.
Stability content is often memorised as a list of factors (heat, light, moisture) rather than as a decision framework. Candidates also do not connect Cambodia's hot, humid tropical climate to the accelerated and long-term storage conditions that actually apply, so they answer with temperate-zone assumptions.
What to do instead
For each product class build a one-page map: likely degradation route (hydrolysis, oxidation, photolysis, microbial), the protective strategy (pH adjustment, antioxidant, amber container, desiccant), and the test that detects it (HPLC assay, related substances, dissolution, sterility). Practise writing answers that state condition + test + limit, e.g. '40 degrees C/75% RH for 6 months, assay 95.0-105.0% of label' rather than 'stored in heat'.
In instrumental analysis questions the candidate names a technique (HPLC, UV-Vis, GC, IR, titration) but cannot justify why that technique suits the analyte, and misstates which detector, wavelength region, or reference standard applies.
Instrumentation is learned as a set of labelled diagrams rather than as a selection problem. Candidates memorise that 'HPLC is for drugs' without learning the decision criteria: volatility, chromophore, polarity, thermal stability, and whether the analyte is a bulk drug or a trace impurity.
What to do instead
Build a selection table with columns: analyte property, suitable technique, detector, and typical limit of detection. Learn the three or four discriminating facts cold (GC needs volatility or derivatisation; UV-Vis needs a chromophore; IR identifies functional groups not quantity; titration suits high-purity bulk drugs). Then answer every instrumentation question by stating the property first and the technique second.
The candidate identifies a medicinal plant by its common English or Khmer name only, and cannot give the scientific binomial, the family, the active phytochemical class, or the standardised extract marker used for quality control.
Traditional medicine is studied through local practice and folklore, where the vernacular name is the working label. Candidates therefore never link the plant to a pharmacopoeial monograph or a marker compound, and confuse plants that share a local name.
What to do instead
Maintain a flashcard set in which every card has five fields: binomial, family, part used, marker or active constituent class (e.g., alkaloid, glycoside, terpenoid), and one evidence-based indication. Add the pharmacopoeial identification test where one exists. Test yourself by binomial only, so the vernacular name cannot be used as a crutch.
When asked to choose therapy for a patient scenario, the candidate selects a drug by memorised first-line status and ignores the patient-specific contraindication embedded in the stem (renal impairment, pregnancy, peptic ulcer history, G6PD deficiency, asthma, or an interacting co-medication).
Pharmacology is revised as drug-class lists with a single 'best drug' per condition. Candidates read the diagnosis and stop, treating the rest of the vignette as background, so the deliberate contraindication is missed.
What to do instead
Before answering any vignette, underline every comorbidity, current medicine, and laboratory value in the stem, then run a three-question check: does this drug accumulate or fail in this organ function, is it absolutely contraindicated in this group, and does it interact with the listed co-medication? Only after that check choose the drug. Practise by writing the reason a tempting distractor is wrong, not just why the answer is right.
The candidate reports an adverse drug reaction or medication error as a bare event ('patient had a reaction') without classifying causality, severity, or preventability, and without stating the required reporting action.
Pharmacovigilance is taught as a definition of 'ADR' rather than as an assessment workflow. Candidates do not practise applying a causality scale (e.g., WHO-UMC or Naranjo) or distinguishing a type A predictable reaction from a type B idiosyncratic one, so the answer stays descriptive.
What to do instead
Memorise one causality algorithm and one severity classification, and answer every ADR question in the sequence: temporal relationship, dechallenge/rechallenge, alternative causes, then causality category, then severity, then action (withdraw, dose-adjust, report to the national pharmacovigilance centre, document). Rehearse with five short cases until the sequence is reflexive.
On a prescription-handling or counselling question the candidate lists what to say but omits the legal and safety checks: legibility and prescriber credentials, completeness of the prescription (date, strength, quantity, directions), the appropriateness review, the label elements required by law, and the specific counselling points for that dosage form (e.g., shake the suspension, complete the antibiotic course, timing relative to food).
Dispensing is learned as a physical routine in the pharmacy, so the underlying legal requirements and the 'show-and-tell' counselling structure are never verbalised. In a written exam the candidate reproduces the social part of the interaction and drops the regulatory and technique parts.
What to do instead
Write a fixed checklist and apply it to every practice prescription: validity, completeness, clinical appropriateness, interaction and allergy check, dispensing accuracy, label content, and counselling (dose, timing, duration, storage, key side effect, what to do if a dose is missed). Answer in checklist order so nothing is silently dropped, and name the legal label requirements explicitly rather than assuming them.
The candidate answers Cambodian regulatory questions using another country's framework, or states a rule confidently without knowing which authority, licence category, or scheduling class it belongs to (e.g., confusing a wholesale licence with a retail licence, or misclassifying a controlled substance).
Study materials are often imported or regionally shared, and Cambodian drug law is revised periodically through sub-decrees and ministerial regulations. Candidates generalise from familiar foreign rules and do not check the current national instrument, so plausible-sounding but wrong specifics appear.
What to do instead
Anchor every regulatory answer to the named authority and instrument (Ministry of Health, Department of Drugs and Food, the national drug law and its implementing sub-decrees) and to the specific licence or schedule category. Where the exact current provision is uncertain, state the principle and flag the uncertainty rather than inventing a number. Keep a dated one-page summary of licence types and controlled-drug schedules and verify it against the current official text before the exam.
For supply-chain or pharmacoeconomics questions the candidate gives a generic management answer ('order more, keep good records') instead of applying a specific tool: ABC/VEN analysis, reorder level and safety stock calculation, lead-time demand, or a cost-effectiveness ratio with the correct numerator and denominator.
Management content feels intuitive, so candidates answer from common sense and never learn the formulas. They also mix up cost-minimisation, cost-effectiveness, cost-utility, and cost-benefit analyses, or compute an ICER with the comparison inverted.
What to do instead
Learn four formulas precisely: reorder level = average demand x lead time + safety stock; ABC by annual consumption value; VEN by clinical criticality; ICER = (cost A - cost B)/(effect A - effect B) with the more effective option as A. For each pharmacoeconomic method write one line stating what the outcome is measured in (natural units, QALYs, or money). Answer management questions by naming the tool first, then applying it to the numbers given.
In public health and biostatistics items the candidate confuses measures of disease frequency and study designs: mixing incidence with prevalence, odds ratio with relative risk, or a case-control design with a cohort, and then draws a causal conclusion the design cannot support.
These concepts are learned as definitions in isolation and never contrasted side by side, so under exam pressure the terms collapse into one another. Candidates also read a result as proof of causation without checking bias, confounding, or whether the design was cross-sectional.
What to do instead
Build a single comparison sheet: incidence (new cases/time, needs follow-up) versus prevalence (all cases at a point, rises with longer survival); cohort gives relative risk, case-control gives odds ratio, and the odds ratio approximates relative risk only when the outcome is rare. For every study appraisal, answer in order: design, selection of participants, measurement of exposure and outcome, confounding and bias, then whether causation is justified. Apply this to two published abstracts per week.