MFPHMI Part I study materials
MFPHMI Part I study resources

MFPHMI Part I cheat sheet

MFPHMI Part I · Keep the key ideas within reach.

Quick reference

Epidemiology

  • Incidence rate = new cases / person-time at risk; attack rate = new cases / population at risk over a defined period.

  • Prevalence ≈ incidence × mean duration of disease (steady-state assumption); prevalence rises with longer survival or lower mortality.

  • Relative risk = incidence in exposed / incidence in unexposed; attributable risk = incidence in exposed − incidence in unexposed.

  • Population attributable fraction = Pe(RR−1) / [1 + Pe(RR−1)], where Pe is the prevalence of exposure.

  • Sensitivity = TP/(TP+FN); specificity = TN/(TN+FP); PPV depends on prevalence: PPV = sens·p / [sens·p + (1−spec)(1−p)].

  • Crude mortality comparison across populations requires age standardisation (direct or indirect) to remove confounding by age structure.

  • Herd immunity threshold = 1 − 1/R0; for R0 = 5 the threshold is 0.8 (80%).

  • Screening test criteria: important condition, accepted treatment, recognisable latent stage, suitable test, cost-effective, continuous case-finding.

  • Bradford Hill considerations include strength, consistency, temporality, biological gradient, plausibility; temporality is essential.

Quick reference

Biostatistics

  • Standard error of the mean = s/√n; 95% CI for a mean ≈ mean ± 1.96·SE (large samples).

  • Type I error (α) = false positive rate; type II error (β) = false negative rate; power = 1 − β.

  • Sample size for a mean scales with (zα + zβ)²σ²/d²; halving the detectable difference d requires roughly 4× the sample.

  • Chi-square tests compare observed and expected frequencies in contingency tables; expected cell counts <5 require Fisher's exact test.

  • t-test compares two means; ANOVA compares three or more means; Mann-Whitney and Kruskal-Wallis are non-parametric analogues.

  • Pearson correlation r measures linear association (−1 to +1); r² is the proportion of variance explained.

  • Number needed to treat = 1/absolute risk reduction; NNT = 1/ARR where ARR = control event rate − treatment event rate.

  • Linear regression slope is change in outcome per unit change in predictor; logistic regression reports odds ratios.

  • p-value is the probability of data at least as extreme as observed given the null hypothesis is true; it is not the probability the null is true.

Quick reference

Health Protection and Communicable Disease Control

  • Basic reproduction number R0 = mean secondary cases per index case in a fully susceptible population; effective R = R0 × susceptible fraction.

  • Outbreak investigation steps: verify diagnosis, confirm outbreak, define cases, describe by person/place/time, generate hypothesis, control, communicate.

  • Incubation periods: measles 10–14 days, chickenpox 10–21 days, mumps 14–25 days, rubella 14–21 days, influenza 1–4 days.

  • Notifiable disease notification in the UK is a statutory duty on registered medical practitioners to the local proper officer (usually via UKHSA).

  • Case definitions in outbreaks use clinical, epidemiological and laboratory criteria; confirmed cases require laboratory evidence.

  • Contact tracing window for most respiratory viruses is from 48 hours before symptom onset until symptoms resolve.

  • Standard infection control precautions apply to all patients; transmission-based precautions (contact, droplet, airborne) are added for specific pathogens.

  • Vaccine efficacy = (ARU − ARV)/ARU × 100%, where ARU and ARV are attack rates in unvaccinated and vaccinated groups.

  • Post-exposure prophylaxis examples: hepatitis B immunoglobulin plus vaccine, varicella-zoster immunoglobulin, rabies vaccine plus immunoglobulin.

Quick reference

Health Promotion

  • Ottawa Charter (1986) five action areas: build healthy public policy, create supportive environments, strengthen community action, develop personal skills, reorient health services.

  • Three health promotion approaches: educational (information), behavioural (lifestyle change), socio-environmental (structural change).

  • Precede-Proceed model phases: social assessment, epidemiological assessment, educational/ecological assessment, administrative/policy assessment, implementation, evaluation.

  • Stages of change (Prochaska & DiClemente): pre-contemplation, contemplation, preparation, action, maintenance, relapse.

  • Health Belief Model constructs: perceived susceptibility, severity, benefits, barriers, cues to action, self-efficacy.

  • Upstream interventions target social determinants; downstream interventions target individual behaviour; upstream generally has greater population impact.

  • Health literacy is the capacity to obtain, process and understand basic health information to make appropriate health decisions.

  • Social marketing uses commercial marketing principles (product, price, place, promotion) to promote health behaviour change.

Quick reference

Health Improvement and Health Service Delivery

  • Levels of prevention: primordial (prevent risk factor emergence), primary (prevent disease), secondary (early detection), tertiary (limit disability), quaternary (avoid overmedicalisation).

  • Screening programmes require a validated test, agreed recall interval, quality assurance and adequate follow-up and treatment pathways.

  • Equity vs equality: equity allocates resources according to need; equality allocates identical resources to all.

  • Health needs assessment covers epidemiological (need), comparative (utilisation) and corporate (perceived) approaches.

  • Quality in healthcare is often framed by the six dimensions: safe, effective, patient-centred, timely, efficient, equitable.

  • Donabedian model of quality: structure (resources), process (what is done), outcome (results).

  • NHS constitution principles include comprehensive care free at the point of use, access based on clinical need, and patient involvement.

  • Public health outcome frameworks track indicators across domains such as improving wider determinants, health improvement and health protection.

  • Allocative efficiency means distributing resources between programmes to maximise total health gain; technical efficiency means producing a given output at minimum cost.

Quick reference

Epidemiology

  • Incidence rate = new cases / person-time at risk; attack rate = new cases / population at risk over a defined period.

  • Prevalence ≈ incidence × mean duration of disease (steady-state assumption); prevalence rises with longer survival or lower mortality.

  • Relative risk = incidence in exposed / incidence in unexposed; attributable risk = incidence in exposed − incidence in unexposed.

  • Population attributable fraction = Pe(RR−1) / [1 + Pe(RR−1)], where Pe is the prevalence of exposure.

  • Sensitivity = TP/(TP+FN); specificity = TN/(TN+FP); PPV depends on prevalence: PPV = sens·p / [sens·p + (1−spec)(1−p)].

  • Crude mortality comparison across populations requires age standardisation (direct or indirect) to remove confounding by age structure.

  • Herd immunity threshold = 1 − 1/R0; for R0 = 5 the threshold is 0.8 (80%).

  • Screening test criteria: important condition, accepted treatment, recognisable latent stage, suitable test, cost-effective, continuous case-finding.

  • Bradford Hill considerations include strength, consistency, temporality, biological gradient, plausibility; temporality is essential.

Quick reference

Biostatistics

  • Standard error of the mean = s/√n; 95% CI for a mean ≈ mean ± 1.96·SE (large samples).

  • Type I error (α) = false positive rate; type II error (β) = false negative rate; power = 1 − β.

  • Sample size for a mean scales with (zα + zβ)²σ²/d²; halving the detectable difference d requires roughly 4× the sample.

  • Chi-square tests compare observed and expected frequencies in contingency tables; expected cell counts <5 require Fisher's exact test.

  • t-test compares two means; ANOVA compares three or more means; Mann-Whitney and Kruskal-Wallis are non-parametric analogues.

  • Pearson correlation r measures linear association (−1 to +1); r² is the proportion of variance explained.

  • Number needed to treat = 1/absolute risk reduction; NNT = 1/ARR where ARR = control event rate − treatment event rate.

  • Linear regression slope is change in outcome per unit change in predictor; logistic regression reports odds ratios.

  • p-value is the probability of data at least as extreme as observed given the null hypothesis is true; it is not the probability the null is true.

Quick reference

Health Protection and Communicable Disease Control

  • Basic reproduction number R0 = mean secondary cases per index case in a fully susceptible population; effective R = R0 × susceptible fraction.

  • Outbreak investigation steps: verify diagnosis, confirm outbreak, define cases, describe by person/place/time, generate hypothesis, control, communicate.

  • Incubation periods: measles 10–14 days, chickenpox 10–21 days, mumps 14–25 days, rubella 14–21 days, influenza 1–4 days.

  • Notifiable disease notification in the UK is a statutory duty on registered medical practitioners to the local proper officer (usually via UKHSA).

  • Case definitions in outbreaks use clinical, epidemiological and laboratory criteria; confirmed cases require laboratory evidence.

  • Contact tracing window for most respiratory viruses is from 48 hours before symptom onset until symptoms resolve.

  • Standard infection control precautions apply to all patients; transmission-based precautions (contact, droplet, airborne) are added for specific pathogens.

  • Vaccine efficacy = (ARU − ARV)/ARU × 100%, where ARU and ARV are attack rates in unvaccinated and vaccinated groups.

  • Post-exposure prophylaxis examples: hepatitis B immunoglobulin plus vaccine, varicella-zoster immunoglobulin, rabies vaccine plus immunoglobulin.

Quick reference

Health Promotion

  • Ottawa Charter (1986) five action areas: build healthy public policy, create supportive environments, strengthen community action, develop personal skills, reorient health services.

  • Three health promotion approaches: educational (information), behavioural (lifestyle change), socio-environmental (structural change).

  • Precede-Proceed model phases: social assessment, epidemiological assessment, educational/ecological assessment, administrative/policy assessment, implementation, evaluation.

  • Stages of change (Prochaska & DiClemente): pre-contemplation, contemplation, preparation, action, maintenance, relapse.

  • Health Belief Model constructs: perceived susceptibility, severity, benefits, barriers, cues to action, self-efficacy.

  • Upstream interventions target social determinants; downstream interventions target individual behaviour; upstream generally has greater population impact.

  • Health literacy is the capacity to obtain, process and understand basic health information to make appropriate health decisions.

  • Social marketing uses commercial marketing principles (product, price, place, promotion) to promote health behaviour change.

Quick reference

Health Improvement and Health Service Delivery

  • Levels of prevention: primordial (prevent risk factor emergence), primary (prevent disease), secondary (early detection), tertiary (limit disability), quaternary (avoid overmedicalisation).

  • Screening programmes require a validated test, agreed recall interval, quality assurance and adequate follow-up and treatment pathways.

  • Equity vs equality: equity allocates resources according to need; equality allocates identical resources to all.

  • Health needs assessment covers epidemiological (need), comparative (utilisation) and corporate (perceived) approaches.

  • Quality in healthcare is often framed by the six dimensions: safe, effective, patient-centred, timely, efficient, equitable.

  • Donabedian model of quality: structure (resources), process (what is done), outcome (results).

  • NHS constitution principles include comprehensive care free at the point of use, access based on clinical need, and patient involvement.

  • Public health outcome frameworks track indicators across domains such as improving wider determinants, health improvement and health protection.

  • Allocative efficiency means distributing resources between programmes to maximise total health gain; technical efficiency means producing a given output at minimum cost.