Study Design Flashcards
Hierarchy of Evidence (Best - Worst)
- Systematic Reviews and Meta Analysis
- Randomised control trials
- Cohort studies
- Case-Control studies
- Cross-Sectional Studies
- Case Series and Case Reports
- Editorials and Expert Opinions
Case-Control Study Definition, Advantages and Disadvantages
Retrospective, observational study looking at cause of disease. Compares similar participants with disease to controls without
Advantages:
- Good for rare outcomes
- Quicker than cohort or intervention studies (outcome already happened)
- Can investigate multiple exposures
Disadvantages:
- Difficulties finding controls to math with case
- Prone to selection and information bias
Cross-sectional Study Definition, Advantages and Disadvantages
Retrospective observational study collects data from a population at a specific point in time ‘snapshot’
Advantages:
- Relatively quick and cheap
- Provide data on prevalence at single point in time
- Good for surveillance and PH planning
Disadvantages:
- Risk of reverse causality (did outcome or exposure come first)
- Cannot measure incidence
- Recall and response bias risk (may miss quick recoveries)
Cohort Study Definition, Advantages and Disadvantages
Prospective longitudinal study looking at separate cohorts with different treatments or exposures. Wait to see if diseases occurs.
Advantages:
- Can follow-up group with rare exposure
- Good for common and multiple outcomes -> establish disease risk and cofounders
- Less risk of selection and recall bias
Disadvantages:
- Takes a long time
- People drop out
- Need large sample size, expensive and time consuming
Randomised control trials Definition, Advantages and Disadvantages
Prospective study, all participants randomly assigned exposure or control intervention
Advantages:
- Low risk of bias and confounding
- Can infer causality
Disadvantages:
- Time consuming and expensive
- Drop outs
- Inclusion criteria may exclude some populations
Ecological study definition
Looks at the prevalence of the disease over time (population data rather than individual)
Can show prevalence and association but not causation