POPLHLTH 111 Population Health
The Complete Exam Bible · 2026POPLHLTH 111 Overview
- University of Auckland
- 2026
- First-year undergraduate
- Coursework 60% + final exam 40%
POPLHLTH 111 studies the health of populations by measuring distributions, investigating determinants and evaluating ways to control the impact of dis-ease. This guide follows the concepts evidenced across the available syllabus, workshops, assignments and practice papers.
- Assessed by 25% Mid-Term · 29% Workshops · 6% Online Tests · 40% final exam
- Core toolkit GATE · PECOT · RAMBOMAN · direct age-standardisation
- Project focus Four Public Health Model steps with published report and presentation rubrics
- Evidence rule Confirm unstated mechanics and live conflicts on Canvas
What POPLHLTH 111 covers
This reconstructed study sequence moves from the epidemiological lens and effect measures through design, uncertainty, non-random error and age-standardisation, then connects causation and social determinants to inequity, ethnicity data in Aotearoa, access, population data, injury prevention and the Population Health Project. It is not an official lecture schedule.
Population Health and the Epidemiological Lens
dis-ease vs disease · distributions, determinants and control · microscope vs telescope · numerator, denominator and time · what makes a study epidemiological · the four course strands02Hanging a Study on the GATE Frame
triangle · circle · square · arrow direction · EGO and CGO · PECOT · multi-arm frames03Measuring Occurrence and Measuring Effect
incidence and prevalence · categorical and numerical outcomes · RR, RD and relative risk reduction · absolute and relative benefit04Study Designs from Trials to Ecological Studies
randomised controlled trial · cohort · cross-sectional · ecological · observational versus experimental · design ethics05Random Error and Confidence Intervals
sampling error and precision · 95% confidence intervals · no-effect line · interval width · regression to the mean06Non-Random Error and the RAMBOMAN Checklist
Recruitment · Allocation and Adjustment in Analyses · Maintenance · Blind Objective Measurement · confounding07Age-Standardisation, Step by Step
crude and age-specific rates · direct method · standard population · expected deaths · units · comparison reversal08Causal Pies and the Bradford Hill Aspects
necessary, sufficient and component causes · causal pie diagrams · temporality, strength, biological gradient, consistency, plausibility, specificity and reversibility09Determinants and the Causes of the Causes
Dahlgren and Whitehead arches · upstream and downstream determinants · structure and agency · levels of intervention · victim blaming10Inequality, Inequity and SEP
socio-economic position · measurable difference versus unfair difference · social gradient · absolute and relative inequality · ecological fallacy · income, education, NZDep, Lorenz curve and Gini11Ethnicity Data and Te Tiriti in Aotearoa
Crown–Māori relationship · ethnicity versus race · self-identification · recording at level 4 · levels 0–4 · prioritised, total response and sole/combination output12Access, Health Systems and Population Data
five dimensions of access · health-target use without naming a list · Census, IDI, APC and NZ Health Survey · population pyramids · demographic transition · dependency ratios13Injury Prevention and the Haddon Matrix
host, agent or vehicle, social and physical environment or health-system columns · pre-event, event and post-event rows · third-dimension criteria · equity14The Population Health Project, End to End
four-step Public Health Model · evidence search · problem definition · risk and protective factors · intervention · GATE and PECOT · RAMBOMAN · report and presentationIt begins with numerator, denominator and time, then develops occurrence, effect, study design, confidence intervals, non-random error and direct age-standardisation. Later chapters connect causal reasoning with the causes of the causes, socio-economic position, ethnicity data in Aotearoa, access, population data, injury prevention and the Population Health Project.
The chapter order is a study reconstruction, not an official lecture schedule. The final exam is worth 40%, the Mid-Term Test 25%, Online Tests 6% and Population Health Workshops 29%. The available materials do not state the exam date, duration, format, coverage or materials rule, nor the mechanics of the Mid-Term or Online Tests. Confirm operational details on Canvas.
The three practice papers contain 31, 40 and 45 questions, but their extracted “Model Answers” files preserve no retrievable official answer key. Every solution here is independently derived and every lecturer-authored scenario is replaced with a new setting.
The Population Health Project is covered as a connected workflow: define a problem, identify risk and protective factors, appraise intervention evidence and plan widespread adoption. The guide preserves the official report and presentation rubrics while keeping raw marks distinct from course weights.
It also preserves source conflicts: the oral presentation is described as 7% in the Project Introduction and Workshop 4 material but 6% on the Workshop 5 page; duration appears as 10 minutes, 11 minutes and 11–12 minutes for a seven-person team. All readings are printed with attribution and students are directed to Canvas.
How POPLHLTH 111 is assessed
| Component | Weight | Format |
|---|---|---|
| Mid-Term Test | 25% | Mechanics, date, duration, format and component hurdle status are not stated in the materials available here; confirm on Canvas. |
| Population Health Workshops | 29% | Umbrella block for five workshop sessions and the Population Health Project. Workshop session duration is not stated. Published task rules and the 6%/7% presentation conflict are detailed in Chapter 14; confirm current details on Canvas. |
| Online Tests | 6% | The syllabus table is the only occurrence; count, schedule, duration, attempts, coverage and component hurdle status are not stated; confirm on Canvas. |
| Final exam | 40% | Beyond the weight and the words final examination, date, duration, format, question count, coverage, permitted materials and component hurdle status are not stated; confirm on Canvas. |
Compare absolute and relative effect
- +1Define EG and CG risks over the same period.
- +2RD = 0.06 − 0.10 = −0.04, or 40 fewer events per 1,000.
- +3RR = 0.06/0.10 = 0.60, a 40% relative reduction.
- +4Qualify causality, confidence, bias and applicability.
Key terms
- Incidence
- New outcome occurrence among a population at risk during a stated period or person-time.
- Prevalence
- Existing outcome status in a defined population at a stated point or period.
- Risk difference
- The absolute difference EGO − CGO, with occurrence units.
- Relative risk
- The unitless ratio EGO/CGO, with no effect at one.
- GATE
- The course-used frame for setting, population, groups, outcomes and time; the materials here do not expand the acronym.
- RAMBOMAN
- A non-random-error checklist partly expanded in the available materials.
- Inequity
- A health inequality judged unfair, avoidable or unjust with supporting normative reasoning.
POPLHLTH 111 FAQ
How is POPLHLTH 111 assessed?
The syllabus publishes Mid-Term Test 25%, Population Health Workshops 29%, Online Tests 6% and final exam 40%, totalling 100%. The syllabus states an overall passing grade of 50%. Operational mechanics for the mid-term, online tests and final exam are not stated in the materials available here; confirm on Canvas.
Is there a hurdle to pass POPLHLTH 111?
The syllabus states that students need an overall passing grade of 50%. A component hurdle is not stated in the materials available here; confirm on Canvas.
How do I age-standardise a rate?
Calculate age-specific rates, apply each group’s rates to the same standard population, sum expected outcomes, divide by the standard total and retain units.
How long is the group presentation?
The Project Introduction says 10 minutes; the presentation page says 11 minutes; Workshop 4 materials say 11 minutes or 12 for a seven-person team. Confirm the current instruction on Canvas.
Are the practice-paper answers official?
No retrievable official answer key survives in the extracted files. This guide uses new questions and independently derived solutions.
How to study for the exam
Use a weekly retrieval loop organised by decision type. First draw GATE and write PECOT for a new scenario. Calculate occurrence, RD and RR with units, then interpret a confidence interval and complete a RAMBOMAN appraisal. Rebuild a direct age-standardisation table from counts and verify every row.
Rotate through causal pies, determinants, inequality and inequity, ethnicity-output methods, access, population pyramids and Haddon placement. For the project, practise linking the four Public Health Model steps to the published report rubric and the separately published presentation rubric. Keep a direction-error log and revisit errors after delay.
Because the available materials do not publish a lecture schedule, final-exam mechanics, Mid-Term mechanics, Online-Test mechanics or official practice answers, use Canvas for operational rules and use this guide for concept retrieval and independently solved practice.
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