Cohort studies Flashcards
person years
1 person is followed up for 10 years = 1x10 = 10 person-years
3 people are followed up for 2 years = 2x3 = 6 person-years
by adding all multiplications = number of person years
allows for a dynamic population to be studied
describe the logical basis of cohort studies
observe a study population over time and compare the development of disease outcomes across categories of determinants.
record any non-identical features and adjust for them
may be a dynamic population
the outcomes are measured without relationship to the determinant - otherwised = biased
allows absolute and relative measures of disease risk to be measured
Give characterisitics of cohort
recruit people who are outcome free
over time follow up and observe how many develop disease
compare risk according to exposure/personal characteristics
comparative - compare exposed group with unexposed
calculate risk of each group and compare using relative risk (IRR or SMR)
define cohort
a defined group of people with known exposure or personal characteristics
give the different types of cohort study
prospective/ concurrent
retrospective
describe how you would make internal comparison and its problems
collect data of outcomes and calculate the incidence rate of both exposed and unexposed groups - could be influenced by RANDOM variation so….
calculate error factor
calculate CI - (observed/e.f.) and (observed x e.f.)
sub-cohorts may be of different sizes
internal comparisons may need large studies
sub cohorts may not be comparable due to other factors - confounding
describe how you would do an external comparison and its problems
use SMR
o/e x 100 - may be subject ot random variation
calculate error factor and the confidence intervals
for most serious diseases large cohorts need to be obsreved over a long period of time - during the time cohort membrers age and age - specific morbidity and mortality rates in ref population will change and cacluating the expected cases is more complicated
give the relationship between sample size and error factor
the greater the number of events, the smaller the error factor
give the difference between internal and external comparison e.f.
internal comparison e.f. are larger than external
as observed casesa are being subdivided whereas with external comparisons e.g. just uses observations
Give the postives and negatives of external and internal cohort studies
external have less random variation than internal
external may have less information on the reference pop - confounders
there may be selection bias between study and referenc epopulations - healthy worker effect
may only be able to use binary comparisons with external comparison
but you have more control over the data with internal comparisons and more detailed information can be collected allowing for studies such as dose-response effects
give general positives and negatives of cohort studies
cohort studies measure absolute risks and relative risks
good for internal or external comparisons
need large number of participants extended follow up periods expensive need many years to follow up not good for rare diseases
and retrospective cohort studies may be quicker and easier but historical data may be incomplete or not available
suitable for rare exposures but not for rare disease
can look at many different harmful effects form a single exposure