Epidemiology and ACS - McFarland Flashcards
Descriptive epidemiology describes what?
Distribution of disease
person
place
time
Analytic epidemiology describes what?
Determinants of disease
risk
protection
What topics are important in a critical review of the medical literature for a specific question or condition?
- what is the question of the study
- what is the study design
- what is the exposure used
- what are the outcomes and how are they measured
- what are the inclusion and exclusion requirements
- analysis of results
- what are the biases and limitations of the study
- what is the validity/generalizability of the study results
Which types of epidemiological studies are descriptive?
- Surveillance
- case studies
- cross-sectional
- ecologic
Which types of epidemiological studies are analytic?
- Experimental - both clinical trials and community
2. Observational studies including cohort (both prospective and retrospective) and case-control studies
What is prevalence?
of existing cases of a disease/ # in total population at a point in time
What is cumulative incidence?
of new cases of a disease/ # in candidate population over a specified period of time
What is incidence rate?
of new cases of a disease/ person during a time of observation in a candidate population
Incidence and prevalence are measures of what?
Disease frequency.
Absolute measures and relative measures are what?
Measures of comparison. Relative measures include prevalence ratio, risk ratio, rate ratio and odds ratio. Absolute measures include prevalence difference, risk difference and rate difference.
What are the guidelines for causality?
- strength of association - strong associations are more likely to be causal
- temporality - is there evidence that exposure preceded disease
- biological gradient/dose response - does disease risk increase as exposure level increases
- plausibility - does the association make sense
- consistency - do different studies using different designs yield similar results
What is bias?
a systematic error that results in an incorrect or invalid estimate of the measure of association
Internal validity asks what question?
Are the results free of bias?
External validity asks what question?
Are the results generalizable?
Which is more important - internal or external validity?
Internal.