Public Health + PPS Flashcards
differentiate between a suspected, probable and confirmed case of an infectious disease (e.g. a measles outbreak)
this will be defined by the case definition.
suspected - clinical features (e.g. fever and rash)
probable - clinical features + contact with confirmed case
confirmed case - clinical features and positive microbiology, serology etc.
what is a case definition?
set of standard criteria for deciding whether or not a person has a particular disease or health related event
define prevalence
a measure of the proportion of the population that has a given disease, condition or characteristic at a given time (or time period)
define point prevalence
no. cases at a point in time, compared with the total population
define period prevalence
no. cases identified over a period of time, compared with no. people in the population over this time period.
NB - not NEW cases (that’s incidence!), just existing cases
define incidence
frequency of NEW cases in a defined population in a specified time period
define cumulative incidence (risk)
no. NEW cases occurring over a given period of time in the population at risk at the BEGINNING of the time period
what 4 different relative measures come under the term “relative risk”?
prevalence ratio
risk ratio
rate ratio
odds ratio
what does relative risk measure?
measures the strength of association between exposure and disease
what are the 4 different measures of impact of a risk factor?
- attributable risk (aka excess risk)
- attributable risk fraction (or %)
- population attributable risk
- population attributable risk fraction (or %)
what is attributable risk?
the excess incidence of our outcome that can be attributed to the exposure
what does using an attributable risk fraction adjust for?
the fact that the exposed group would have had some disease anyway - AR fails to take into account the underlying, background rate.
i.e. - not all illness, even in the exposed group, will be due to the exposure
what does the attributable risk fraction tell us?
what proportion of disease IN THE EXPOSED GROUP is attributable to the exposure
what does population attributable fraction tell us?
what proportion of disease in the POPULATION that is attributable to the exposure
e.g. interpret PAF of 0.96 as “96% of (outcome) in the population are attributable to (exposure)
what is a cross-sectional study?
a study in which data are collected on each study participant at a single point in time
a SNAPSHOT
aka prevalence study
what are the two types of cross-sectional study?
descriptive and analytical
what do descriptive cross-sectional studies do?
what do they measure?
collect info on frequency and distribution of health-related exposures or outcomes, in a defined population.
measure point or period prevalence of the outcome OR exposure
how are data typically collected for a cross-sectional study?
surveys
what do analytical cross sectional studies do?
investigate the association between exposure to risk factors and the outcome of interest
(NB - the info is collected simultaneously on each individual - no temporality)
what are the differences between an analytical and a descriptive cross-sectional study?
descriptive cross-sectional studies basically just find the prevalence of an exposure or outcome, whereas analytical cross-sectional studies look at both exposures and outcomes to investigate the association between the two
what types of bias are cross-sectional studies particularly susceptible to?
recall bias - if asked about exposures that occurred a long time ago
non-response bias - always an issue with surveys - look at what the response rate is in the study
what measures are used in analysis of a cross-sectional study?
prevalence (of disease OR exposure)
prevalence ratio and prevalence odds ratios - for outcomes or exposures
list some advantages of a cross-sectional study
- quick, cheap and easy (ish!)
- provides prevalence of risk factors and disease in a defined population
- useful for health service planning
- repeated studies can monitor changes over time
list some disadvantages of a cross-sectional study
- exposure and disease info collected simultaneously = problems with temporal sequence - disease may modify exposure etc
- studying prevalent cases = can miss out cases with quick recovery, or short survival
- bias - recall, non-response
- not useful for rare conditions