Population health, epidemiology and prevention in paediatrics — formative SAQs

SAQ 1 (10 marks)

Your district reports rising toddler scald admissions. A journalist asks whether “more parenting classes” alone will fix it. Practice immunisation coverage is 91% overall but 55% in temporary housing. [1] [3] [5]

1. Define population health for the children attached to your service. (2) [1]
2. Construct a brief Haddon matrix for kettle scalds and list one pre-event environmental lever. (4) [3] [4]
3. Explain why unstratified 91% coverage can still be a population-health failure. (2) [1] [5] [7]
4. State one clinic action and one system action you would take next. (2) [5] [7]

Model answer — SAQ 1

Definition (2): Population health is the health outcomes of a defined group of children (here, the service panel or district cohort), including the distribution of those outcomes within the group—not only average clinic attenders. [1]

Haddon (4): Host (toddler motor skills, supervision supports), agent (hot liquid energy), environment (kettle cord, kitchen layout, product design). Phases: pre-event, event, post-event. Pre-event environmental lever example: cordless kettle design, cord restraints, or barrier to stove/kettle zone. [3] [4]

Coverage equity (2): Outcomes include distribution. A high average can hide severe under-coverage in temporary housing, so preventable disease concentrates in that subgroup. [1] [5] [7]

Actions (2): Clinic—active outreach catch-up immunisation and social needs linkage for temporary-housing families. System—advocate product standards/housing safety and equitable recall design. [5] [7]

SAQ 2 (10 marks)

A parent reads that an exposure “doubles risk” of a rare outcome (baseline 1 in 5,000). Separately, a company offers free multi-disease blood panels for all well preschoolers; confirmatory pathways are unclear. [2] [6] [8]

1. Translate the relative risk into approximate absolute risks for counselling. (3) [2]
2. Define Rose’s prevention paradox in one sentence with a paediatric example. (3) [2]
3. List four programme criteria you would require before endorsing the multi-disease panel as population testing. (4) [8]

Model answer — SAQ 2

Absolute risk (3): Baseline ~1/5,000; doubled risk ~2/5,000. State both numbers and the small absolute difference; do not counsel on relative risk alone. [2]

Prevention paradox (3): A population measure that prevents many cases may offer little obvious benefit to each individual participant—e.g. universal immunisation or mild population nutrition shifts versus only treating extreme high-risk tails. [2]

Programme criteria (4): Important target conditions; acceptable accurate test; effective early action that improves outcomes; ready confirmatory and treatment pathway; informed choice; equity of access; quality assurance; net benefit after false positives/overdiagnosis/harms (any four well-stated). Detection alone is insufficient. [8]