Module 2: Causality & Causes of Causes & SEP Flashcards
Causality in epidemiological studies
Identify associations between potential exposures with outcomes but not done via human experiments
Lind’s experiment
Proved that cures can be found before finding causes e.g. Cholera and scurry
Bradford Hill framework
Non strict criteria for causal relationship
Temporality - BHF
Key to causality - First cause then disease
Strength of association - BHF
Stronger association means causal association in absence of cofounding
Reveribilty - BHF
If you can show removal of causes removes outcome
Biological gradient - BHF
Change in disease rates has corresponding chnages in outcome
Biological plausability of association - BHF
Does the cause make biological sense
Consistency - BHF
Many similar repeated studies show similar results
Specfitiy - BHF
Cause has a single effect
Specficity - BHF
Cause has a single effect
Rothmans causal pie model
Recognises multiple factors can contirbute to being a cause
Rothmans pie model weakness
Assumes all causes are deterministic always
Sufficient cause - RPM
All factors are the minimum requirement of disease “whole pie”
Component cause - RPM
A factor contributing to a disease but isn’t sufficient to cause it alone “Slice of pie”