Public Health Flashcards
Define primary prevention?
Preventing a disease from occurring in the first place.
What are some examples of primary prevention?
Change4life,
5-a-day,
Vaccines
Define secondary prevention?
Detecting a disease in its early or pre-clinical phase to alter its course + improve health outcomes
What are some examples of secondary prevention?
All screening programmes (breast, bowel, cervical cancer, heel prick)
Define tertiary prevention?
Attempting to slow down disease progression + prevent complications of a disease, helping people manage their illness effectively.
What are some examples of tertiary prevention?
Diabetic foot care,
Attending rehab after a stroke to prevent immobility.
What is the population approach to prevention?
Preventative measure delivered on a population wide basis
Seeks to shift the risk factor distribution curve
What are some examples to the population approach to prevention?
Dietary salt reduction through legislation to reduce BP
Adding iodine to salt to prevent iodine deficiency
What is the high risk approach to prevention?
Identifying individuals above a chosen cut-off + treating them
What are some examples of the high risk approach to prevention?
Screening for HTN + treating them.
What is the prevention paradox?
A preventative measure which brings much benefit to the population often offers little to each participating individual.
it’s about screening a large number of people to help a small number of people.
Define screening?
A process which identifies seemingly well individuals who may be at risk of a disease, in the hope of catching the disease at its early stage
What is screening not?
It’s not a diagnostic process, simply a means of assessing risk + catching diseases in their early stage.
Define sensitivity?
Sensitivity = the proportion of people with the disease who are correctly identified by the screening test
A / A + C
Define specificity?
The proportion of people without the disease who are correctly excluded by the screening test
D / D + B
Define positive predictive value?
The proportion with a positive test result who actually have the disease. Dependent on underlying prevalence
A / A + B
Define negative predictive value?
The proportion with a negative test result who do not have the disease. This is lower if the prevalence is higher
D / D + C
What are some examples of population-based screening programmes?
Cervical and breast cancer
What are some examples of opportunistic screening programmes?
BP measurements in GP surgeries
What are some other types of screening?
Screening for communicable disease.
Pre-employment + occupational medicals.
Commercially provided screening (pay company to send off blood + get tested for a variety of different genetic issues).
Genetic counselling (genetic testing for people with FHx of diseases).
What are some disadvantages of screening programmes?
Exposure of well individuals to distressing or harmful diagnostic tests.
Detection + treatment of sub-clinical disease that may have never caused any problems.
Preventative interventions that may cause harm to the individual or population.
What are the Wilson + Junger criteria for screening?
The condition should be an important health problem.
There should be an accepted treatment available to pts.
Facilities for diagnosis + treatment should be available.
There should be a recognisable latent or early symptomatic stage.
There should be a suitable test or examination.
The test should be acceptable to the population.
The natural history of the condition should be understood.
There should be a policy on whom to treat as patients.
The costs of the screening should be economically balanced.
Screening should be a continuous process, not just a one off.
Define lead time bias?
When screening identifies an outcome earlier than it would otherwise have been identified + results in an apparent increase in survival time, even if screening has no effect on the outcome
What is length time bias?
A type of bias resulting from differences in the length of time taken for a condition to progress to severe effects that may affect the apparent efficacy of a screening method.
What is an example of lead time bias?
Cancers may be slowly or rapidly progressive. Less aggressive cancers with longer presentations are more likely to be detected by screening.
A comparison of survival in screen detected pts + non-screen detected pts may be biased as there’s a tendency to compare less aggressive to more aggressive cancers.
What is an ecological study?
Descriptive/observational study design comprising of case reports or case series studying population or groups rather than individuals.
What is an ecological study used for?
Used routinely collected data to show trends in data – often associations between occurrence of disease + exposure to known or suspected causes.
What are some advantages of an ecological study?
Few ethical issues, useful for generating hypotheses.
Uses routine data so quick + cheap.
Shows prevalence + association.
What are some disadvantages of an ecological study?
Cannot show causation.
Bias – variation in diagnostic criteria.
Inconsistency in data presentation.
What is a cross-sectional study?
Descriptive + analytical study design used to generate hypotheses.
Divides population into those without the disease + those with the disease + collects data on them once at a defined time to find associations at that single point in time.
What are some advantages to a cross sectional study?
Relatively cheap + quick.
Provide data on prevalence at a single point in time.
Good for surveillance + public health planning.
Large sample size.
What are some disadvantages to a cross-sectional study?
Risk of reverse causality (don’t know whether outcome or exposure first).
Cannot measure incidence as no time reference.
Risk of recall bias + non-response.
What is a case-control study?
A type of analytical study - retrospective.
Takes people with a disease + matches them to people without the disease for age/sex/class etc + studies previous exposure to the agent in question.
What are the advantages of a case control study?
Quicker than cohort of intervention studies as it’s retrospective.
Inexpensive.
Good for rare outcome (e.g. cancer).
Can investigate multiple exposures.
What are some disadvantages to a case control study?
Retrospective nature only shows an association (not causation).
Difficulty finding controls to match with cases.
Unreliable due to recall bias.
Prone to selection + information bias.
What is a cohort study?
A prospective study.
Start with a population without the disease in question + study them over time to see if they are exposed to the agent in question + if they develop the disease in question or not.
What are some advantages of a cohort study?
Prospective so can show causation (where retrospective can’t).
Lower chance of selection + recall bias.
Absolute, relative + attributable risks can be determined.
Good for common + multiple outcomes.
What are some disadvantages of a cohort study?
Lots to follow-up, requires a control group to establish causation.
Takes a long time, need a large sample size.
What is a randomised control trial?
Pts are randomised into groups:
One group is given an intervention (interventional group).
One group is given a placebo/control (control group).
Then, the outcome is measured. Often blind or double blind.
What are the advantages of a randomised control trial?
Can infer causality (gold standard).
Randomisation allows confounding factors to be equally distributed + biases minimised (helped by blinding).
What are some disadvantages of a randomised control trial?
Is it ethical to withhold a treatment that is strongly believed to be effective.
Time consuming, expensive.
Volunteer bias – specific inclusion/exclusion criteria may mean the study population is different from typical pts (e.g. excluding very elderly pts).
What is a meta-analysis?
A statistical technique where you pool all the results of the available evidence and look at effect.
Different to systematic review which doesn’t involve statistical procedure.
Define epidemiology?
The study of the frequency, distribution + determinants of disease + health-related states in populations in order to prevent + control disease.
What are the usual factors when measuring epidemiology of a disease?
Time, place, person (age, gender, class, ethnicity).
Define incidence?
The number of new cases of a disease that develop in a population (e.g. per 100,000) in a given time frame (e.g. per year).
Define prevalance?
The total number of people in a population found to have a disease at a point in time.
Number of existing cases/population/points in time.
Define person-time?
Measure of time at risk i.e. time from entry to a study to:
Disease onset.
Loss to follow up.
End of study.
It is the sum of each individual’s time at risk (i.e. length of time they were followed up in the study).
Define independent variable?
A variable that can be altered in a study.
Define dependent variable?
A variable that is dependent on the independent variables or one that cannot be altered.
Define absolute risk?
gives a feel for actual numbers involved i.e. it has units. e.g. deaths/1000 population.
Define relative risk?
Ratio of risk of disease in the exposed to the risk in the unexposed i.e. no units.
How do you calculate relative risk?
Incidence in exposed ÷ incidence in unexposed
What does relative risk tell you?
Tells us about the strength of association between a risk factor + a disease.
Define attributable risk?
The rate of disease in the exposed that may be attributed to the exposure.
How do you calculate attributable risk?
Incidence in exposed – incidence in unexposed.
What is attributable risk an example of?
Attributable risk is a type of absolute risk (absolute excess risk)
Define relative risk reduction?
The reduction in rate of the outcome in the intervention group relative to the control group.
How do you calculate relative risk reduction?
(Incidence in unexposed – Incidence in exposed) ÷ incidence in unexposed.
Define absolute risk reduction?
The absolute difference in the rates of events between the 2 groups. Gives an indication of the baseline risk + the intervention effect.
How do you calculate absolute risk reduction?
Incidence in unexposed – incidence in exposed
Define odds?
The odds of an event is the ratio of the probability of an occurrence compared to the probability of a non-occurrence.
How do you calculate odds?
Odds = probability ÷ (1 – probability).
Define odds ratio?
The ratio of odds for the exposed group to the odds for the non-exposed groups.
How do you calculate odds ratio?
(P exposed ÷ [1 – P exposed]) ÷ (P unexposed ÷ [1 – P unexposed])
What is it not possible to calculate in case control studies?
For case control studies, it’s not possible to calculate the relative risk, so the odds ratio is used.
When would odds ratio be used in a cross-sectional / cohort study?
Odds ratio is used if it’s not clear which is the independent and dependent variable.
Define number needed to treat?
The number of patients that need to be treated in order to prevent one bad outcome.
How do you calculate number needed to treat?
NNT = 1 ÷ absolute risk reduction (risk in non-exposed – risk in exposed).
Define bias?
A systematic deviation from the true estimation of the association between exposure + outcome.
Define selection bias?
A systematic error either in the selection of study participants or the allocation of participants to different study group.
Give some examples of selection bias?
Non-response, loss to follow up.
Those in the intervention group different in some way from the controls other than the exposure in question.
Define information bias?
A systematic error in the measurement or classification of exposure or outcome.
What are some sources of information bias?
Observer (observer bias).
Past events incorrectly remembered (recall bias).
Responder does not tell the truth (reporting bias).
Wrongly calibrated instrument (measurement bias).
Define publication bias?
Where some trials are more likely to be published than others.
Define confounding bias?
Where a factor is associated with the exposure of interest + independently influences the outcome but does not lie on the causal pathway.
May affect the validity of a study.
What are the Brandford-Hill criteria for assessing causality?
Strength of association – the magnitude of the relative risk.
Dose-response – the higher the exposure, the higher the risk of disease.
Consistency – similar results from different researches using various study designs.
Temporality – does exposure precede outcome?
Reversibility (experiment) – removal of exposure reduces risk of disease.
Biological plausibility – biological mechanisms explaining the link.
Coherence – logical consistency with other information.
Analogy – similarly with other established cause-effect relationships.
Specificity – relationship specific to outcome of interest.
If association is not causal, what could it be explained by?
Bias, chance, confounding, reverse causality, a true causal association.
Define reverse causality?
Refers to a situation when an association between an exposure + outcome could be due to the outcome causing exposure rather than other way.
Give an example of reverse causality?
Case study showing stress causes HTN but HTN could cause increased stress.