Cohort study - basics

Post on 10-Jul-2015

808 views 0 download

Transcript of Cohort study - basics

Cohort study

Dr. Rizwan S A, M.D.,Assistant Professor,

Department of Community Medicine,VMCH&RI, Madurai.

10.11.2014

II MBBS, Epidemiology series 1

Classification of research methods

Research methods

Observational

Descriptive

Case series, case reports,

CS, cohort

Analytical

Ecological Cross-sectional

Cohort Case control

Experimental

Controlled Uncontrolled

II MBBS, Epidemiology series 2

Procedures in descriptive epidemiology

1. Define the population

2. Define and describe the disease

3. Measure the disease

4. Compare

5. Formulate hypothesis

II MBBS, Epidemiology series 3

Association

• Defined as the co-occurrence of two or morevariables at a frequency which is more thanthat expected by chance

• Association does not mean causation

II MBBS, Epidemiology series 4

Hills criteria

1. Temporality

2. Strength

3. Specificity

4. Consistency

5. Biological plausibility

6. Coherence

II MBBS, Epidemiology series 5

Introduction

• Synonyms – prospective, forward looking,longitudinal, incidence

• Features – healthy people, follow up, cause toeffect

• Cohort – a group of people with commoncharacteristics

• E.g., birth cohort, marriage cohort

II MBBS, Epidemiology series 6

Dogma of cohort study

Healthy people Exposure occurs Exposed & unexposed

Disease occurs

Diseased & non-diseased

II MBBS, Epidemiology series 7

A 2 by 2 table

Diseased Non-diseased Total

Exposed A B A+B

Non-exposed C D C+D

Total A+C B+D A+B+C+D

II MBBS, Epidemiology series 8

Indications for cohort

• Good evidence of association

• Exposure is rare but incidence amongexposure is common

• When loss to follow up can be minimised

• Funds are ample

II MBBS, Epidemiology series 9

General considerations

• Cohort must be free from disease underconsideration

• Both exposed and non-exposed groups shouldbe equally susceptible to disease

• Both exposed and non-exposed groups shouldbe comparable

• Eligibility criteria should be definedbeforehand

II MBBS, Epidemiology series 10

Types of cohort study

Nov 2013 Nov 2014 Nov 2015

Past Present Future

1. Prospective

2. Retrospective

3. Combined - Amphi

II MBBS, Epidemiology series 11

Elements of a cohort study

1. Selection of subjects

2. Obtain data on exposure

3. Selection of comparison

4. Follow up and measure outcome

5. Analysis

II MBBS, Epidemiology series 12

1. Selection of subjects

• General population

• Special groups

II MBBS, Epidemiology series 13

2. Obtain data on exposure

• Clearly define exposure

• How?

– Direct interview

– Medical examination

– Record review

– Environmental survey

• Classify into exposed and non-exposed

• Among exposed degree of exposure

II MBBS, Epidemiology series 14

3. Selection of comparison

• Internal comparison

• External comparison

• General population

II MBBS, Epidemiology series 15

4. Follow up and measure outcome

• Clearly define outcome

• Periodic interview or examination

• Loss to follow up

– Denial of consent

– Death

– Migration

• Ideal follow up is >95%

II MBBS, Epidemiology series 16

5. Analysis

• Incidence of disease in exposed =

• Incidence of disease in non-exposed =

• Relative risk (RR) =

II MBBS, Epidemiology series 17

Measures of association

• Relative risk (RR) = I (e) / I (ue)

• Risk difference = I (e) - I (ue)

• Attributable risk = [I (e) – I (ue)]/ I (e)

• Population attributable risk= Pe (RR-1) / Pe (RR-1) + 1

II MBBS, Epidemiology series 18

Attributable risk

II MBBS, Epidemiology series 19

Fraction, proportion & percentage

Fraction Proportion Percentage

1/3 0.33 33%

2/3 0.66 66%

3/4 0.75 75%

1/4 0.25 25%

2/4 0.50 50%

2/5 0.40 40%

II MBBS, Epidemiology series 20

Example of calculations

• Incidence of disease in exposed = 0.01 or 1%• Incidence of disease in non-exposed = 0.001 or 0.1%• Relative risk = 10• Risk difference = 0.009 or 0.9%• Attributable risk = 0.9 or 90%

Lung cancer Normal Total

Smoker 70 6930

Non-smoker 3 2997

Total

II MBBS, Epidemiology series 21

Example of calculations

• Population attributable risk (PAR) = Pe (RR-1) / Pe (RR-1) + 1

• Pe = Prevalence of exposure in the population = 20% of the population smoke

• PAR = 0.20 (10) / 0.20 (10) + 1

= 2/2+1

= 2/3

= 0.66 or 66%

II MBBS, Epidemiology series 22

Advantages

• Incidence and RR can be calculated

• One exposure and multiple outcomes

• Dose response ratios

• Recall bias reduced

II MBBS, Epidemiology series 23

Disadvantages

• Unsuitable for rare outcomes• Long duration• Administrative problems• Loss to follow up• Selection of representative groups• Diagnostic criteria may change over time• Expensive• People may alter their behaviour• Ethical problems

II MBBS, Epidemiology series 24

Examples of famous cohort studies

• British doctors study on smoking and lung cancer

• The Framingham heart study

• Oral contraceptives study

II MBBS, Epidemiology series 25

THANKS FOR LISTENING

Email your doubts to: sarizwan1986@outlook.com

You can download these slides at http://www.slideshare.net/RizwanSa

II MBBS, Epidemiology series 26