Epidemiology Module 2 Flashcards
(32 cards)
How to define population?
a group of individuals, population experience (individuals thru time) or population cross-section (individuals at a point in time)
What are odds?
Pevent/Pnonevent
2 measures of frequency:
prevalence (cases in a pop. at a given time) and incidence (new occurring cases/pop during specified time frame)
Prevalence definition
new and existing outcomes of interest. can be measured on different time scales. 2 types: point (# cases/total specified pop. at time of outcome ascertainment) and period (# cases/total specified pop at mid-point of time period)
What is prevalence affected by?
number of new cases, duration, rate of recover/death
Incidence definition
new events. excludes prevalent cases. 2 measures: CI (incidence proportion) and incidence density (incidence rate)
What is cumulative incidence and its assumptions?
fixed population experiencing a new event during a specified time period. Assumes follow up for entire period and static population.
Cumulative Incidence (Risk) proportion
occurred in a specified time period/number of total people in population. Can be enumerated like 30-day mortality, monthly risk, or annual incidence (proportion). dimensionless.
What are the difficulties with CI?
competing risks, multiple events, dynamic populations, loss to follow-up
What is attack rate?
incidence proportion of becoming afflicted during an epidemic (usually infectious)
What is case fatality rate?
proportion of people who then proceed to die (often no time period, infectious diseases, i.e. rabies)
What is incidence density (IR)?
new events/accumulated person-time of observation. accounts for variable time to event and loss to follow-up, but not potential bias due to loss. i.e. deaths/person-days of patients at risk. count number of injuries instead of number of people. if repeated events, don’t consider independent and subsequent aren’t counted? provides ave. prognosis
What are the technical difficulties with ID?
difficult to explain, waiting time. if steady-state conditions, the waiting time is the reciprocal of ID (i.e. 3.57 cases/person-year. 3.57^-1=.28 years, so you would wait about three months to see one case of the outcome
CI interpretation vs ID interpretation
time mortality vs mortality; time risk vs outcome per person-time; time incidence (proportion) vs incidence (density). CI goes from 0-1 while ID is 0-infinity.
Choosing CI vs ID
cumulative over duration of follow-up vs does not assume a particular time frame; difficulty with differing length of follow-up vs variable length of follow-up ok; difficulty with loss to follow-up vs handles loss to follow-up; difficulty with repeated events vs handles multiple occurrences; assumes fixed cohort vs handles dynamic population
Issues with Prevalence and Incidence
Numerator: definition of a case and multiple episodes of a disease? Denominator: who is at risk? competing risks? treat previously occurring disease in the same individual? P = understand burden of disease; I = etiologic associations
What is crude rate?
events in a stated time period/population at risk
What are problems with crude comparisons?
age associations and issues. other factors may alter death and disease as well
What is a specific rate (stratum-specific)?
events among members in a stated time period/total members of category
What is an adjusted/standardized rate?
hypothetical event rate that would have occurred if the observed rates happened in a population that is distributed like the standard population. can mask important differences
What is age standardization?
removes effect of age. fictional. direct and indirect methods.
What is a direct adjustment?
identify study and standard population. e.g. summary age-adjusted rate (disease/death rate in study pop. if study pop. had same age distribution as standard pop.).
What is an indirect adjustment?
used b/c limited info on study pop or its small so age-specific rates are unstable. Final measure is a ratio: standardized mortality ratio or standardized morbidity ratio. cannot be compared. only between study and standard.
What is SMR?
observed deaths/#expected deaths