Observational Studies Flashcards
What are the two types of observational study?
Case controls
Cohort studies
What is the difference between the types of observational study?
Case-controls - selected based on OUTCOME
(Retrospective - looks at exposures)
Cohort - selected based on EXPOSURE
(looks at outcomes)
How do we divide epidemiological studies?
Descriptive (ecological, cross-sectional, case reports/series)
Analytic (observational, intervention)
What are descriptive studies?
Used to generate hypotheses
- measure variation of disease
- assist DM
- suggest aetiological factors
What is a cross sectional study?
Point prevalence/looking at a specific point in time (ie - smoking rates after legislation)
What are the advantages & disadvantages of cross-sectional studies?
ADVANTAGES
- cheap
- quick
DISADVANTAGES
All arise from the ‘slice of time’ aspect:
- cannot examine causality (as disease & exposure examined at one time)
- cohort effect (variation in participant characteristics over time)
- incidence impossible (don’t know rate of NEW cases, only number of cases)
What is an ecological study?
Units of observation = groups rather than individuals (ie - ‘white British’ vs ‘Bangladeshi’ in RFs for LC)
What are the advantages & disadvantages of ecological studies
ADVANTAGES
- cheap
- quick (as use secondary data usually - ONS etc)
- useful (hypothesis generation, prevalence, incidence - especially in rare diseases)
DISADVANTAGES
- data from group cannot be accurately applied to individuals within that group
- unclear time between exposure & disease
What is the main benefit of observational studies?
They can accurately determine cause-effect relationships!
What are the advantages of case-control studies?
- quick
- cheap(er than prospective cohort)
- effective for rare diseases (as uses OR as an approximation of RR, which is more accurate in smaller cohorts)
- can study many EXPOSURES
What are the disadvantages of case-control studies?
- no incidence data (start with patients WITH condition already)
- can’t estimate ABSOLUTE risk (approx RR via OR)
- selection bias (difficult to find selection controls ie - never had BrCa)
- recall & recording bias
- poor quality when investigating specific exposures (as may have too small data pools)
What are the advantages of cohort studies?
- produces risk data! Accurate
- multiple OUTCOMES from one exposure
- useful for rare exposures
- causality (good for working out)
- can potentially eliminate some biases (recall bias, recording bias as in controlled environment of study)
What are the disadvantages of cohort studies?
- expensive! can span many years, require a lot of work & funding
- larger sample size required
- not good for rare outcomes
- not good for conditions with long latency periods (study must be longer)
- LOSS TO FOLLOW UP BIAS (attrition)
What sources of bias do you need to account for in case-control studies?
-
recall bias
Extent of recall differs btw cases & controls -
recording bias
Certain pts will have more illness & thus more detailed notes -
interviewer bias
Non-neutral approach (different btw cases & controls) -
response bias
Response rate low/different btw cases & controls -
sampling bias
(Minor) way people selected for comparison group may be skewed = changes OR & size of estimated effect
ALSO: as no incidence data, cannot work out RR, can only use OR as approx (more accurate with rarer diseases)
What is a nested case-control?
Identify cases of a disease in a predefined cohort & equal number of controls from same cohort (who were selected based on exposure & not)
TAKES PLACE IN A COHORT STUDY (selected for exposure) BUT SELECTED within that population based on OUTCOME
E.g. - a group of smokers is the cohort, selected for the case-control based on whether they have lung cancer or not, retrospectively assessed for an occupational exposure to asbestos. (This may be done to remove the effect of confounding from the RF of smoking)
ADVANTAGES
- cheaper, easier than cohort as less effort to collect & analyse data
- minor relative loss in statistical efficiency
- good for biological precursors of disease