WEEK 6: DESIGN 1 Flashcards
what are the two types of population/clinical health research
descriptive, analytic
what is descriptive population/clinical health research
- identify and count cases of disease in populations according to person, place, and time, and conduct simple studies
Case reports & series
Cross-sectional study & ecological study (can also be analytic)
1. To monitor the public’s health
2. To evaluate the success of intervention programs
3. To generate hypotheses about causes of disease
analytic population/clinical Health Research
Compare group and systematically determine if there is an association
Experimental study
Clinical trial
Community trials
Case-control study
Cohort study
1. To evaluate hypothesis about the causes of disease
2. To evaluate the success of intervention programs
6 components of a study
- population
- exposure
- outcome
- potential cofounders
- analysis
- communication of findings
what is a source population
the population you are interested in knowing more about
study population
the [population you enroll in your study to represent the source population
what is generalizability
assuming the association in a study reflects the truth, to whom does it apply?
what is case definition
description of the event you are interested in studying; can be disease, defect, injury, event, state
ex. a man with cardiovascular disease defined by ICD codes
- ex. an infant with structural abnormality of the heart identified within 1st week of life
target population.
people you want your results to apply to
- ex. everyone living in australia
source population or sampling frame
people from whom the population is selection
- ex. everyone on australian electoral roll
what is a cofounder
- extraneous risk factor for an outcome can be constitutional, environmental, or behavioral
Can lead to distortion of true association b/w exposure and disease
exposure component
determinant of interest upon which an outcome depends can be constitutional, environmental or behavioural
- cigarette smoker, fitness enthusiast, high fiber diet
analysis component
examination of your study data; estimation of measures of disease frequency and association
* Describe your study population (proportion of rates, exposures)
* Crude estimates (if no cofounding)
* Adjusted estimates (if cofounding)
o Standardization
o Stratified analysis
o Multivariate analysis
communication of findings component
tell the appropriate persons or community what you found even if you found no association
*Peer reviewed journals
*Conferences and meetings
*Government reports
*What about popular and social media?
sign vs symptom
Sign: an objective indication of disease that can be clinically observed, such as a rash, cough, fever, or elevated blood pressure
Symptom: a subjective indication of illness that is experienced by an individual but cannot be directly observed by others