2. ā¢ To describe the design of case-control studies.
ā¢ To discuss potential biases in case-control studies
ā¢ To differentiate between cohort and case-control studies
ā¢ To analyze case-control studies
ā¢ Discuss strength and weakness od case-control studies
5. ā¢ History of medicine has always been fascinated
in discovering the causes of the disease and the
ways in which these could be modified.
6. ā¢ Investigator does not assign the exposure
ā¢ Makes careful measurement of patterns of
exposure and disease in populations
ā¢ Comparison group
ā¢ Make inferences about exposure and disease
7. ā¢ The observational epidemiologic study of
persons with the disease (or other outcome
variable) of interest and a suitable control
(comparison/ reference) group of persons
without the disease.
8. It involves two populations ā cases and controls and has three
distinct features :
ā¢ Both exposure and outcome have occurred before the start of the
study.
ā¢ The study proceeds backwards from effect to cause.
ā¢ It uses a control or comparison group to support or refute an
inference.
10. 1. Selection of cases
2. Selection of control
3. Information on exposure
4. Analysis
11. ā¢ All people in source population who develop the
disease of interest
āSample of cases
āIndependent of the exposure under study
ā¢ Clear definition of outcome studied
ā¢ Prevalent . incident cases
āPrevalent cases may be related more to survival with
disease than to development of disease.
12. ā¢ Hospital/clinic based cases
āEasier to find
āMay represent severe cases
ā¢ Population based (cancer registry)
ā Not biased by factors drawing a patient
to a particular hospital
13. ā¢Represent the distribution of exposure in the
source population of cases
āSelected from the same source population
that gives rise to the cases
ā¢ Selected independently of their exposure
status.
14. Population based
Sampling of the general population
Health care facility based
Patients with other diseases
Caseābased
Friends, Neighbourhood
15. Matching
Defined as :
ā the process we select controls in such
a way that they are similar to cases with regard
to certain pertinent selected variable which are
known to influence the outcome of disease and
which if not adequately for comparability could
distort or confound the result ā.
16. Types of Matching
Type 1
assigning cases to subcategories based on their
characteristics like age occupation, etc. and then
establishing appropriate controls.
Type 2
It is finding a control for particular case as closely
resembling as possible except for disease under
17. Selecting good data on exposure
1.Objectively
ā¢ Reproducibility of exposure measurement
2. Accurately
ā¢ Information reflecting as closely as possible the
effect of exposure
3.Precisely
ā¢ Quality management in exposure measurement
18. Selecting good data on exposure
1.Objectively
ā¢ Reproducibility of exposure measurement
2. Accurately
ā¢ Information reflecting as closely as possible the
effect of exposure
3.Precisely
ā¢ Quality management in exposure measurement
19. 3. Information on exposure
āPersonal interviews / mailed questionnaire
āReviews of records
e.g., Dose of drug, radiation, type of surgery etc.
āMedical examination or special test
e.g.,Blood pressure, serum cholesterol
āEnvironmental survey
e.g.,Water, Air, Sanitation status etc.
22. Interpreting Odds Ratio
ā¢ ā¢ OR = 1
-Odds of exposure among cases and controls are same -
Exposure is not associated with disease
ā¢ ā¢ OR > 1
-Odds of exposure among cases are higher than controls -
Exposure is positively associated with disease
ā¢ ā¢ OR < 1
- Odds of exposure among cases are lower than controls -
Exposure is negatively associated with disease
25. Answer
Odds ratio = (100 Ć 7,920) ā ( 80 x 1,900) = 5.2
ā¢Interpretation
ā¢ ā¢ OR > 1
-Odds of exposure among cases are higher than controls
-Exposure is positively associated with disease
26. Types of Bias in Case Control Studies
ā¢ Bias ā is a systematic error in design, conduct or analysis of
a study which an erroneous conclusion.
ā¢ 1.Bias in selection of cases - selection bias or diagnostic
bias
ā¢ 2.Bias in investigating controls
ā¢ - , the controls are less likely to recall exposure
variables than the cases.
ā¢ - that may lack depth in
controls whereas the cases are thoroughly worked up
27. Types of Bias in Case Control Studies
ā¢ 3. Confounding Bias
ā¢ Distortion of study effect with another effect because of variables
to the exposure affecting the prediction of the disease)
ā¢ When the disease has multiple risk factors which are related to each other
ā¢ ā MATCHING BETWEEN CASES AND CONTROLS
ā¢ 4.Bias in analysis
ā¢ - the presence of a confounder is mostly identified at the time of analysis.
ā¢ - It is due to non- uniform distribution of confounders.
ā¢ ā Stratification ( limit the size of study and no of confounding
factors)
28. Strengths in Case Control Studies
ā¢ Good for examining rare outcomes or
outcomes with long latency,
ā¢ Relatively quick to conduct,
ā¢ Inexpensive.
ā¢ Requires comparatively few subjects
ā¢Multiple exposures or risk factors can be
examined.
29. Weakness in Case Control Studies
ā¢ Susceptible to recall bias
ā¢ Selection of an appropriate comparison
group may be difficult
ā¢Rates of disease in exposed & unexposed
individuals cannot be determined