University of Auckland · FACULTY OF HEALTH & MEDICINE

POPLHLTH 111 Population Health

- one subject, every graph, every model, every mark

14 Chapters115-page Bible

Our own words - no uploaded lecturer files

Updated for this semester

The Complete Exam Bible · 2026

POPLHLTH 111 Overview

Population Health

— POPLHLTH 111 study guide for epidemiology, GATE, age-standardisation, RAMBOMAN, inequity, ethnicity data and the Population Health Project.

University of Auckland
2026
First-year undergraduate

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

Why read this guide

What you get in the full POPLHLTH 111 Exam Bible

14 chapters, 115 pages — every examinable topic
58 original practice questions, each with a model answer in the Final exam format
14 worked examples, solved the way POPLHLTH 111 marks
28 computed figures, redrawn from the course’s own numbers
Exam-morning plan for the Final exam (40%) — what to revise last, where marks are lost

Free on this page: assessment table, chapter map, one worked example, key terms, FAQ. The rest is in the full exam bible.

POPLHLTH 111 · University of Auckland

An independent, AskSia-authored study guide. AskSia is not affiliated with, endorsed by, or sponsored by University of Auckland; the course code and name are used for identification only.

Assessment

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.

Other students are asking · POPLHLTH 111

What other students are asking about POPLHLTH 111

Where can I find lecture notes or study guides for POPLHLTH 111 at Auckland?: The POPLHLTH 111 study guide in AskSia Library covers Population Health in 14 chapters, with the assessment table, a chapter-by-chapter topic map, key terms and a worked example, free to read on this page.
Is there a final exam in POPLHLTH 111, and how much is it worth?: Yes. In the offering this AskSia Library guide is built from, Final exam carries 40% of the POPLHLTH 111 mark; the full split is Mid-Term Test 25%, Population Health Workshops 29%, Online Tests 6%, Final exam 40%.
What does POPLHLTH 111 cover on hanging a study on the gate frame?: In AskSia Library's POPLHLTH 111 guide, the Hanging a Study on the GATE Frame chapter explains triangle · circle · square · arrow direction · EGO and CGO · PECOT · multi-arm frames.
What does POPLHLTH 111 cover on measuring occurrence and measuring effect?: In AskSia Library's POPLHLTH 111 guide, the Measuring Occurrence and Measuring Effect chapter explains incidence and prevalence · categorical and numerical outcomes · RR, RD and relative risk reduction · absolute and relative benefit.
What does POPLHLTH 111 cover on study designs from trials to ecological studies?: In AskSia Library's POPLHLTH 111 guide, the Study Designs from Trials to Ecological Studies chapter explains randomised controlled trial · cohort · cross-sectional · ecological · observational versus experimental · design ethics.

Weights, dates and every chapter are set out with their sources further down this page.

Contents · every chapter, one map

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 strands

Population Health and the Epidemiological Lens develops a population-health decision sequence around dis-ease vs disease · distributions, determinants and control · microscope vs telescope · numerator, denominator and time · what makes a study epidemiological · the four course strands.

Dis-ease vs disease: define the concept, apply it to a new setting, audit direction and state one limitation.
Distributions, determinants and control: define the concept, apply it to a new setting, audit direction and state one limitation.
Microscope vs telescope: define the concept, apply it to a new setting, audit direction and state one limitation.
Numerator, denominator and time: define the concept, apply it to a new setting, audit direction and state one limitation.
What makes a study epidemiological: define the concept, apply it to a new setting, audit direction and state one limitation.
The four course strands: define the concept, apply it to a new setting, audit direction and state one limitation.

In the full guide: 9 pages · 4 practice questions · 2 figures 02

Hanging a Study on the GATE Frame

triangle · circle · square · arrow direction · EGO and CGO · PECOT · multi-arm frames

Hanging a Study on the GATE Frame develops a population-health decision sequence around triangle · circle · square · arrow direction · EGO and CGO · PECOT · multi-arm frames.

Triangle: define the concept, apply it to a new setting, audit direction and state one limitation.
Circle: define the concept, apply it to a new setting, audit direction and state one limitation.
Square: define the concept, apply it to a new setting, audit direction and state one limitation.
Arrow direction: define the concept, apply it to a new setting, audit direction and state one limitation.
Ego and cgo: define the concept, apply it to a new setting, audit direction and state one limitation.
Pecot: define the concept, apply it to a new setting, audit direction and state one limitation.

In the full guide: 9 pages · 4 practice questions · 2 figures 03

Measuring Occurrence and Measuring Effect

incidence and prevalence · categorical and numerical outcomes · RR, RD and relative risk reduction · absolute and relative benefit

Measuring Occurrence and Measuring Effect develops a population-health decision sequence around incidence and prevalence · categorical and numerical outcomes · RR, RD and relative risk reduction · absolute and relative benefit.

Incidence and prevalence: define the concept, apply it to a new setting, audit direction and state one limitation.
Categorical and numerical outcomes: define the concept, apply it to a new setting, audit direction and state one limitation.
Rr, rd and relative risk reduction: define the concept, apply it to a new setting, audit direction and state one limitation.
Absolute and relative benefit: define the concept, apply it to a new setting, audit direction and state one limitation.
Integration: connect population, design, measure, bias, equity and decision without changing the level of analysis.
Integration: connect population, design, measure, bias, equity and decision without changing the level of analysis.

In the full guide: 7 pages · 5 practice questions · 2 figures 04

Study Designs from Trials to Ecological Studies

randomised controlled trial · cohort · cross-sectional · ecological · observational versus experimental · design ethics

Study Designs from Trials to Ecological Studies develops a population-health decision sequence around randomised controlled trial · cohort · cross-sectional · ecological · observational versus experimental · design ethics.

Randomised controlled trial: define the concept, apply it to a new setting, audit direction and state one limitation.
Cohort: define the concept, apply it to a new setting, audit direction and state one limitation.
Cross-sectional: define the concept, apply it to a new setting, audit direction and state one limitation.
Ecological: define the concept, apply it to a new setting, audit direction and state one limitation.
Observational versus experimental: define the concept, apply it to a new setting, audit direction and state one limitation.
Design ethics: define the concept, apply it to a new setting, audit direction and state one limitation.

In the full guide: 8 pages · 7 practice questions · 2 figures 05

Random Error and Confidence Intervals

sampling error and precision · 95% confidence intervals · no-effect line · interval width · regression to the mean

Random Error and Confidence Intervals develops a population-health decision sequence around sampling error and precision · 95% confidence intervals · no-effect line · interval width · regression to the mean.

Sampling error and precision: define the concept, apply it to a new setting, audit direction and state one limitation.
95% confidence intervals: define the concept, apply it to a new setting, audit direction and state one limitation.
No-effect line: define the concept, apply it to a new setting, audit direction and state one limitation.
Interval width: define the concept, apply it to a new setting, audit direction and state one limitation.
Regression to the mean: define the concept, apply it to a new setting, audit direction and state one limitation.
Integration: connect population, design, measure, bias, equity and decision without changing the level of analysis.

In the full guide: 7 pages · 5 practice questions · 2 figures 06

Non-Random Error and the RAMBOMAN Checklist

Recruitment · Allocation and Adjustment in Analyses · Maintenance · Blind Objective Measurement · confounding

Non-Random Error and the RAMBOMAN Checklist develops a population-health decision sequence around Recruitment · Allocation and Adjustment in Analyses · Maintenance · Blind Objective Measurement · confounding.

Recruitment: define the concept, apply it to a new setting, audit direction and state one limitation.
Allocation and adjustment in analyses: define the concept, apply it to a new setting, audit direction and state one limitation.
Maintenance: define the concept, apply it to a new setting, audit direction and state one limitation.
Blind objective measurement: define the concept, apply it to a new setting, audit direction and state one limitation.
Confounding: define the concept, apply it to a new setting, audit direction and state one limitation.
Integration: connect population, design, measure, bias, equity and decision without changing the level of analysis.

In the full guide: 8 pages · 6 practice questions · 2 figures 07

Age-Standardisation, Step by Step

crude and age-specific rates · direct method · standard population · expected deaths · units · comparison reversal

Age-Standardisation, Step by Step develops a population-health decision sequence around crude and age-specific rates · direct method · standard population · expected deaths · units · comparison reversal.

Crude and age-specific rates: define the concept, apply it to a new setting, audit direction and state one limitation.
Direct method: define the concept, apply it to a new setting, audit direction and state one limitation.
Standard population: define the concept, apply it to a new setting, audit direction and state one limitation.
Expected deaths: define the concept, apply it to a new setting, audit direction and state one limitation.
Units: define the concept, apply it to a new setting, audit direction and state one limitation.
Comparison reversal: define the concept, apply it to a new setting, audit direction and state one limitation.

In the full guide: 8 pages · 6 practice questions · 2 figures 08

Causal Pies and the Bradford Hill Aspects

necessary, sufficient and component causes · causal pie diagrams · temporality, strength, biological gradient, consistency, plausibility, specificity and reversibility

Causal Pies and the Bradford Hill Aspects develops a population-health decision sequence around necessary, sufficient and component causes · causal pie diagrams · temporality, strength, biological gradient, consistency, plausibility, specificity and reversibility.

Necessary, sufficient and component causes: define the concept, apply it to a new setting, audit direction and state one limitation.
Causal pie diagrams: define the concept, apply it to a new setting, audit direction and state one limitation.
Temporality, strength, biological gradient, consistency, plausibility, specificity and reversibility: define the concept, apply it to a new setting, audit direction and state one limitation.
Integration: connect population, design, measure, bias, equity and decision without changing the level of analysis.
Integration: connect population, design, measure, bias, equity and decision without changing the level of analysis.
Integration: connect population, design, measure, bias, equity and decision without changing the level of analysis.

In the full guide: 7 pages · 2 practice questions · 2 figures 09

Determinants and the Causes of the Causes

Dahlgren and Whitehead arches · upstream and downstream determinants · structure and agency · levels of intervention · victim blaming

Determinants and the Causes of the Causes develops a population-health decision sequence around Dahlgren and Whitehead arches · upstream and downstream determinants · structure and agency · levels of intervention · victim blaming.

Dahlgren and whitehead arches: define the concept, apply it to a new setting, audit direction and state one limitation.
Upstream and downstream determinants: define the concept, apply it to a new setting, audit direction and state one limitation.
Structure and agency: define the concept, apply it to a new setting, audit direction and state one limitation.
Levels of intervention: define the concept, apply it to a new setting, audit direction and state one limitation.
Victim blaming: define the concept, apply it to a new setting, audit direction and state one limitation.
Integration: connect population, design, measure, bias, equity and decision without changing the level of analysis.

In the full guide: 7 pages · 2 practice questions · 2 figures 10

Inequality, 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 Gini

Inequality, Inequity and SEP develops a population-health decision sequence around socio-economic position · measurable difference versus unfair difference · social gradient · absolute and relative inequality · ecological fallacy · income, education, NZDep, Lorenz curve and Gini.

Socio-economic position: define the concept, apply it to a new setting, audit direction and state one limitation.
Measurable difference versus unfair difference: define the concept, apply it to a new setting, audit direction and state one limitation.
Social gradient: define the concept, apply it to a new setting, audit direction and state one limitation.
Absolute and relative inequality: define the concept, apply it to a new setting, audit direction and state one limitation.
Ecological fallacy: define the concept, apply it to a new setting, audit direction and state one limitation.
Income, education, nzdep, lorenz curve and gini: define the concept, apply it to a new setting, audit direction and state one limitation.

In the full guide: 7 pages · 2 practice questions · 2 figures 11

Ethnicity 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 output

Ethnicity Data and Te Tiriti in Aotearoa develops a population-health decision sequence around Crown–Māori relationship · ethnicity versus race · self-identification · recording at level 4 · levels 0–4 · prioritised, total response and sole/combination output.

Crown–māori relationship: define the concept, apply it to a new setting, audit direction and state one limitation.
Ethnicity versus race: define the concept, apply it to a new setting, audit direction and state one limitation.
Self-identification: define the concept, apply it to a new setting, audit direction and state one limitation.
Recording at level 4: define the concept, apply it to a new setting, audit direction and state one limitation.
Levels 0–4: define the concept, apply it to a new setting, audit direction and state one limitation.
Prioritised, total response and sole/combination output: define the concept, apply it to a new setting, audit direction and state one limitation.

In the full guide: 9 pages · 2 practice questions · 2 figures 12

Access, 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 ratios

Access, Health Systems and Population Data develops a population-health decision sequence around five dimensions of access · health-target use without naming a list · Census, IDI, APC and NZ Health Survey · population pyramids · demographic transition · dependency ratios.

Five dimensions of access: define the concept, apply it to a new setting, audit direction and state one limitation.
Health-target use without naming a list: define the concept, apply it to a new setting, audit direction and state one limitation.
Census, idi, apc and nz health survey: define the concept, apply it to a new setting, audit direction and state one limitation.
Population pyramids: define the concept, apply it to a new setting, audit direction and state one limitation.
Demographic transition: define the concept, apply it to a new setting, audit direction and state one limitation.
Dependency ratios: define the concept, apply it to a new setting, audit direction and state one limitation.

In the full guide: 7 pages · 2 practice questions · 2 figures 13

Injury 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 · equity

Injury Prevention and the Haddon Matrix develops a population-health decision sequence around host, agent or vehicle, social and physical environment or health-system columns · pre-event, event and post-event rows · third-dimension criteria · equity.

Host, agent or vehicle, social and physical environment or health-system columns: define the concept, apply it to a new setting, audit direction and state one limitation.
Pre-event, event and post-event rows: define the concept, apply it to a new setting, audit direction and state one limitation.
Third-dimension criteria: define the concept, apply it to a new setting, audit direction and state one limitation.
Equity: define the concept, apply it to a new setting, audit direction and state one limitation.
Integration: connect population, design, measure, bias, equity and decision without changing the level of analysis.
Integration: connect population, design, measure, bias, equity and decision without changing the level of analysis.

In the full guide: 7 pages · 2 practice questions · 2 figures 14

The 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 presentation

The Population Health Project, End to End develops a population-health decision sequence around four-step Public Health Model · evidence search · problem definition · risk and protective factors · intervention · GATE and PECOT · RAMBOMAN · report and presentation.

Four-step public health model: define the concept, apply it to a new setting, audit direction and state one limitation.
Evidence search: define the concept, apply it to a new setting, audit direction and state one limitation.
Problem definition: define the concept, apply it to a new setting, audit direction and state one limitation.
Risk and protective factors: define the concept, apply it to a new setting, audit direction and state one limitation.
Intervention: define the concept, apply it to a new setting, audit direction and state one limitation.
Gate and pecot: define the concept, apply it to a new setting, audit direction and state one limitation.

In the full guide: 9 pages · 2 practice questions · 2 figures

It 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.

Worked example · free

Compare absolute and relative effect

Q [4 marks]. A newly authored intervention example has harmful-outcome risks of 6% in EG and 10% in CG. Calculate RD and RR. (AskSia-authored learning sequence)

Population-health chain

The three questions form a reasoning chain. Feedback also runs backwards: intervention results refine the description of the problem and the proposed causal explanation.

+1Define EG and CG risks over the same period.
+1RD = 0.06 − 0.10 = −0.04, or 40 fewer events per 1,000.
+1RR = 0.06/0.10 = 0.60, a 40% relative reduction.
+1Qualify causality, confidence, bias and applicability.

RD is −4 percentage points and RR is 0.60. Because the outcome is harmful, both directions favour EG, subject to design validity and uncertainty.

Sia tip — Name the outcome before calling a direction favourable.

Glossary

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.

FAQ

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.

Chapter questions

Questions students ask in each POPLHLTH 111 chapter

How should I use Population Health and the Epidemiological Lens in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from dis-ease vs disease · distributions, determinants and control · microscope vs telescope · numerator, denominator and time · what makes a study epidemiological · the four course strands, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 01 · Population Health and the Epidemiological Lens
How should I use Hanging a Study on the GATE Frame in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from triangle · circle · square · arrow direction · EGO and CGO · PECOT · multi-arm frames, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 02 · Hanging a Study on the GATE Frame
How should I use Measuring Occurrence and Measuring Effect in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from incidence and prevalence · categorical and numerical outcomes · RR, RD and relative risk reduction · absolute and relative benefit, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 03 · Measuring Occurrence and Measuring Effect
How should I use Study Designs from Trials to Ecological Studies in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from randomised controlled trial · cohort · cross-sectional · ecological · observational versus experimental · design ethics, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 04 · Study Designs from Trials to Ecological Studies
How should I use Random Error and Confidence Intervals in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from sampling error and precision · 95% confidence intervals · no-effect line · interval width · regression to the mean, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 05 · Random Error and Confidence Intervals
How should I use Non-Random Error and the RAMBOMAN Checklist in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from Recruitment · Allocation and Adjustment in Analyses · Maintenance · Blind Objective Measurement · confounding, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 06 · Non-Random Error and the RAMBOMAN Checklist
How should I use Age-Standardisation, Step by Step in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from crude and age-specific rates · direct method · standard population · expected deaths · units · comparison reversal, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 07 · Age-Standardisation, Step by Step
How should I use Causal Pies and the Bradford Hill Aspects in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from necessary, sufficient and component causes · causal pie diagrams · temporality, strength, biological gradient, consistency, plausibility, specificity and reversibility, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 08 · Causal Pies and the Bradford Hill Aspects
How should I use Determinants and the Causes of the Causes in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from Dahlgren and Whitehead arches · upstream and downstream determinants · structure and agency · levels of intervention · victim blaming, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 09 · Determinants and the Causes of the Causes
How should I use Inequality, Inequity and SEP in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from socio-economic position · measurable difference versus unfair difference · social gradient · absolute and relative inequality · ecological fallacy · income, education, NZDep, Lorenz curve and Gini, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 10 · Inequality, Inequity and SEP
How should I use Ethnicity Data and Te Tiriti in Aotearoa in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from Crown–Māori relationship · ethnicity versus race · self-identification · recording at level 4 · levels 0–4 · prioritised, total response and sole/combination output, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 11 · Ethnicity Data and Te Tiriti in Aotearoa
How should I use Access, Health Systems and Population Data in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from five dimensions of access · health-target use without naming a list · Census, IDI, APC and NZ Health Survey · population pyramids · demographic transition · dependency ratios, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 12 · Access, Health Systems and Population Data
How should I use Injury Prevention and the Haddon Matrix in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from host, agent or vehicle, social and physical environment or health-system columns · pre-event, event and post-event rows · third-dimension criteria · equity, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 13 · Injury Prevention and the Haddon Matrix
How should I use The Population Health Project, End to End in a new scenario?: Start by defining the population, comparison, outcome and time. Select the relevant idea from four-step Public Health Model · evidence search · problem definition · risk and protective factors · intervention · GATE and PECOT · RAMBOMAN · report and presentation, show the reasoning or calculation, and interpret it in plain language. Then check uncertainty, non-random error, applicability and equity. Do not rely on a remembered option letter or an unstated assessment rule. Chapter 14 · The Population Health Project, End to End

Study strategy

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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