10. ECM 2 - Understanding Causation Flashcards
what does PICO stand for
P - POPULATION, PATIENTS
I - INTERVENTION
C - CONTROL INTERVENTION, non-exposed or no risk factor
O - OUTCOME
how would you change this bad question ‘Does smoking cause heart attacks?’ into a GOOD QUESTION using PICO
In adults aged 35+ (POPULATION), Smoking 1+ Cigarettes per day (INTERVENTION/EXPOSURE) compared to no smoking (CONTROL) increase the incidence of fatal and non-fatal acute myocardial infarction? (OUTCOME)
CONFOUNDING occurs when the association between an EXPOSURE and OUTCOME becomes DISTORTED by a THIRD VARIABLE
what are the 3 CRITERIA for a CONFOUNDER
- ASSOCIATED WITH EXPOSURE
- ASSOCIATED WITH DISEASE/OUTCOME (risk factor)
- NOT PART OF THE CAUSAL CHAIN FROM EXPOSURE TO OUTCOME (not caused by the exposure and thus causing the outcome)
eg.
exposure - consumption of ice-cream
outcome - timing of riots
possible confounder: good weather
eg2.
exposure - Baldness
outcome - Coronary Heart Disease
Confounder: Age
if RISK RATIO (RR) GREATER THAN 1 what does it mean
there is an ASSOCIATION between the variables
Higher above 1 means stronger association
risk ratio = 1 means no difference / no association
what are 2 ways researchers can use to adjust for CONFOUNDING in DATA ANALYSIS
- REGRESSION ANALYSIS
- STRATIFICATION (separating the data i.e data for association between baldness and CHD separately by age group, young and old men)
can HYPERTENSION be a CONFOUNDER for the ASSOCIATION between OBESITY and CVD
NO, as it is on the CAUSAL CHAIN
Obesity -> Hypertension -> CVD
to understand if the EXPOSURE is ASSOCIATED with the OUTCOME what do we need
STUDY DESIGNS
2 Main aspects to understands different STUDY DESIGNS
- is the OUTCOME MEASURED BEFORE or AFTER measuring the EXPOSURE?
- How are you dealing with CONFOUNDING?
STUDY DESIGN type that OBSERVES both EXPOSURE and OUTCOME AT THE SAME TIME
CROSS-SECTIONAL
STUDY DESIGN type that OBSERVES OUTCOME FIRST (selects people with the outcome ie heart disease) and then looks back at if they have EXPOSURE (ie then look at their shoe size)
CASE-CONTROL DESIGN
STUDY DESIGN type that 1ST OBSERVES EXPOSURE and then FOLLOWS them over time until there is an OUTCOME (future)
COHORT DESIGN
STUDY DESIGN TYPE that SETS THE EXPOSURE (not observes) ie selects people who don’t already have the outcome (ie heart disease) and put them into RANDOM groups, some are GIVEN EXPOSURE (ie drug) and some are given PLACEBO. then FOLLOW them over time
RANDOMISED TRIAL Design
what is the BEST STUDY DESIGN for ensuring CAUSAL EFFECT and NOT CONFOUNDED
RANDOMISED TRIAL
for which STUDY DESIGNS use
OBSERVATIONAL DESIGN (observe the exposure not cause)
and the METHOD used to account for CONFOUNDERS is STRATIFICATION, MATCHING OR ADJUSTMENT
CROSS-SECTIONAL
CASE-CONTROL
COHORT
for RANDOMISED TRIAL DESIGN
- do you observe or cause the exposure?
- what method is used to account for confounders?
- EXPERIMENTAL DESIGN - cause the exposure
- RANDOMIZATION