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Study Design

Study Design. The design of a study is the investigator’s plan of action for answering the research question(s). The objective in selecting a study design is to minimize possible errors by maximizing the reliability and validity of the data. ? Why were warning ignored

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Study Design

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  1. Study Design

  2. The design of a study is the investigator’s plan of action for answering the research question(s). • The objective in selecting a study design is to minimize possible errors by maximizing the reliability and validity of the data.

  3. ? Why were warning ignored • Why this devastation happened Hurricane Katrina • ? What could be the consequences • ? What is happening • ? How many victims

  4. Classification of Study Design • It can be classified into 3 subheadings • Descriptive • Analytical 3. Interventional Cross-sectional Longitudinal Case-control Cohort Experimental Quasi-experimental

  5. What type of study will we do? • It depends on 1.the research question 2. study objective 3. feasibility

  6. If the Research Question is • who is affected/ • What do they know, believe,thinks about the problem And the research objective is • To recognize the problem and to set up a hypothesis We will go for a Descriptive type of study.

  7. Cont..... • R.Q: • Are certain factors indeed associated with the problem? • What is the cause of the problem? • so we want to demonstrate the cause and effects We will go for an Analytical type of study.

  8. Cont...... R.Q: • 1. Will the removal of a particular factor prevent or reduce problem? • 2.What is the effect of a particular intervention/ strategy? To test the effectiveness of control measures in small scale project drug trial. We will go for an Experimental type of study.

  9. Descriptive study: • Merely describe a problem in terms of time,place and person. • It doesn’t have a formal comparison group. • As there is no comparison group there is no scope for analysis. • It can only done for establishing hypothesis.

  10. cont...... • 5. No conclusion can be drawn about the association between exposure and outcome.

  11. Descriptive study has many name, • Cross-sectional • Survey • Prevalence study

  12. Advantages: • 1. Generalizability. • 2. It takes short time. • 3. low cost.

  13. Limitations: • Cause and effect relationship cannot be measured. • Some of the diseases of long duration shows a high prevalence rate. • Chance of missing of acute diseases like asthma. • Patient who are under treatment can be missed.

  14. Longitudinal Studies When observations are repeated on the same population over a period of time. Exp: serveillance. • Case- Studies

  15. Disease Exposure to risk factor • Case control study Yes sample with disease/cases No T I M E Population at risk Research sample without disease/controls Yes No

  16. selection of cases and controls Inclusion criteria for the mother were as follows: 1.Woman who gave birth to live- birth singleton infants. 2. Woman having normal vaginal delivery. Exclusion criteria for the mother were as follows: 1. Non antenatal care card holders. 2.Those who gave birth to premature babies. 3.Subjects who gave birth to still born babies.

  17. Cont.... 4. Pregnant women who had any medical complication (e.g Diabetes Mellitus, Heart Disease , Chronic Lung Disease, Jaundice etc). 5. Eclamptic and pre-eclamptic subjects. 6. Multiple pregnancies. 7. Caesarian section cases. 8. Congenital abnormal babies. 9. Post mature babies.

  18. Advantages: • Short duration • easier • less expensive • suitable to investigate rare diseases about which little is known/ also for common disease. • no risk of subjects • require comparatively few subjects • risk factor can be identified. • Ethical problems are minimal.

  19. Disadvantages: • problem of bias • Selection of control group • we cannot measure incidence rate only odds ratio • representative ness of cases and control

  20. Odds Ratio • The odds that a case is exposed divided by the controls is exposed.

  21. A+B C+D A+C B+D Odds ratio= [{A/(A+C)}/ {C/ (A+C)}]/ [{B/(B+D)}/ {D/ (B+D)}]

  22. Cohort study Exposure to NSAIDS Renal failure Yes Yes No Population T I M E T I ME sample Population at risk sample Yes No No

  23. Advantages: • estimate risk or rate directly because of the availability of population at risk. • Temporal relationship • Reduction of Bias • rare exposure • Multiple outcome

  24. Disadvantages: • large sample size • losses to follow up • multiple exposure • ethical problems • cost • time

  25. type of cohort study • Prospective • Retrospective Exp:Records of exposure of members of the armed services to radio-active fallout at nuclear bomb testing sites are now being used to examine the possible causal role of fall-out in the development of cancer over the past 30 years. • Retro-prospective

  26. Relative Risk • RR= (Incidence rate among the exposed)/ (Incidence rate among the exposed) · If RR = 2, There is twice chance of occurrence of the disease among the exposed then the unexposed. · If RR = 1, There is equal chance of occurrence of the disease among the exposed then the unexposed. · If RR = 1<, The exposure is rather protective.

  27. Intervention studies • When researcher manipulates a situation and measures the effect of manipulations.

  28. types: • Experimental 2. Quasi-Experimental Experimental • only type of study design that can actually prove causation. • individuals are randomly allocated to at least two groups. • Manipulation is there. • Randomization.

  29. 2. Quasi-Experimental • all the three main characteristics are not followed. • Manipulation must be present.

  30. Study group before Study group after Intervention quasi-experimental control group Compare control group before Control group before

  31. quasi-experimental no control group Study group before Study group after Intervention Compare

  32. In drug test, we measure sensitivity and specificity of the test.

  33. sensitivity : The proportion of people with the disease who have a positive test for the disease. Rarely miss people with the disease. • specificity:The proportion of people without the disease who have a negative test for the disease. Rarely misclassify people without the disease as diseased.

  34. Potential Error in Epidemiological Studies • Errors can be • Random Error • Systematic Error Random Error: is the divergence,due to chance alone, of an observation on a sample from the true population value, leading to lack of precision in the measurement of an association.

  35. There are 3 major sources of Random Error 1.Individual Biological variation. 2. Sampling Error. 3. Measurement Error. • Sampling error occurs during the process of selecting study participants who are always a sample of a larger population and best way to reduce it by increasing the sample size.

  36. Matching is the process by which we select controls in such a way that they are similar to cases with regard to certain pertinent selected variables which are known to influence the outcome of disease aetiological factor and which if not matched act as a confounder.

  37. Systematic error(or bias) occurs in Epidemiology when there is a tendency to produce results that differ in a systematic manner from the true value.

  38. •Systematic error is a particular hazard because epidemiologists usually have no control over participants in studies unlike the situation in laboratory experiments. • It is difficult to have representative samples of source population. • Some variables of interest are difficult to measure, like personality type, alcohol consumption habits and past exposures to rapidly changing environmental conditions .

  39. The principal Systematic Error • 1. selection Bias:occurs when there is a systematic difference between the characteristics of the people selected for a study and the characteristics of those who are not. • 2. Measurement bias: occurs when the individual measurements or classifications of disease or exposure are inaccurate. ( they do not measure correctly what they are supposed to measure).

  40. Sources of Measurement bias • Biochemical or physiological measurements are never accurate and different laboratories often produce different results on the specimen. • Recall Bias in case-control study.

  41. Validity is an expression of the degree to which a test is capable of measuring what it is intended to measure. •a study is valid if its results correspond to the truth, • there should be no systematic error and random error should be as small as possible.

  42. Internal validity- is the degree to which the results of an observation are correct for the particular group of people being studied. • Internal validity can be threatened by all sources of systematic error but can be improved by good design and attention to detail.

  43. External validity or generalizability is the extent to which the results of a study apply to people not in it. • External validity is assisted by study designs that examine clearly stated hypothesis in well defined people. Ehical Issue

  44. 1. persons who are having high fat diet are 2.5 times more prone to develope bowl cancer than those of not having high fat diet. • 2. High fat diet in takers are 2.5 times more at risk of developing bowl cancer than the non high fat diet in takers.

  45. cases Diet habit Contains of the food + bowl ca _ cases pop + control _

  46. High fat diet + _ _ Cohort pop Not high fat diet + _ Bowl ca

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