Top Banner

of 45

Observational Study Design

Apr 03, 2018

Download

Documents

Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
  • 7/28/2019 Observational Study Design

    1/45

    OBSERVATIONAL STUDY

    DESIGN

    Oleh :

    Dr. Nurjannah, MPH

  • 7/28/2019 Observational Study Design

    2/45

    Objectives

    1. Describe each study design

    2. State the advantages and disadvantagesof each study design

    3. Understand the difference betweendescriptive and analytic studies

    4. To be able to aply different study design

    to the same research question5. Recognize each study design in medical

    literature

  • 7/28/2019 Observational Study Design

    3/45

    Type of Study

    Epidemiological

    Study

    Observational

    Study

    Interventional

    Study

    Grup Individual

    Descriptive or

    Analitycal Descriptive Analytical

    Ecological

    Study

    Cross

    Sectional study

    Cohort

    Study

    Case Control

    Study

  • 7/28/2019 Observational Study Design

    4/45

    Type of Studies

    Observational Analytic Studies

    Cross Sectional studies

    Case Control studies

    Cohrt Studies

  • 7/28/2019 Observational Study Design

    5/45

    Cross Sectional

    The simple form an observational

    Both exposures and outcome are

    measured at the same time

    A snapshot of the health (or other)

    experiences of the population at that

    particular point in time

  • 7/28/2019 Observational Study Design

    6/45

    Cross Sectional

    Also called a survey (collection ofopinions) or pool (a questionnaireadministered to a sample of a people,

    often about a single issue) Designed to determine what is

    happening ? right now

    Examines a characteristic or set ofcharacteristic in a set of subjects at onepoint in time ( prevalence)

  • 7/28/2019 Observational Study Design

    7/45

    Advantages

    Quick and inexpensiveFirst step for a cohort study

    Able to yield prevalence estimates

    Researcher has control over selection ofsubjects

    Researcher a control over the mesurmentsused

    Can study several factors or outcomes at theone time

    Often provides early clues for hypothesis

    generation & later more definitive study

  • 7/28/2019 Observational Study Design

    8/45

    Disadvantages

    Do not establish the true temporal sequence ofevents

    They can only ascertain whether exposure is

    associated with a given outcome; they cannotdetermine whether the exposure caused the

    outcome

    Potenstial bias in measuring exposurePotential sampling bias and/or survivor bias

    They are not feasible for rare condition

    Does not yield incidence or true relative risk

  • 7/28/2019 Observational Study Design

    9/45

    Example Breast Feeding and

    Obesity cross sectional study

    Abstract :

    Objective : to assess the impact of breastfeeding on the risk of obesity and risk of

    being overweight in children attendingschool in Calima. In a sample of 80childen, early feeding, diet andlifestylefactors were assessedusingresponse to a questionnaire completed byparents

    40

  • 7/28/2019 Observational Study Design

    10/45

    Sample : 80 children aged 9 & 10, all Filipinos

    Main Outcome Measure

    Height and weight measurementBMI calculation : kg / height (m)2

    Being overweight was defined as having a

    body mass index above :male : 18.86 for 9 y/o

    19.61 for 10 y/o

  • 7/28/2019 Observational Study Design

    11/45

    Female : 19.2 for 9 y/o

    20.2 for 10 y/o (NCHS) BMI for age

    Questionnaire: Was your children breast

    fed?, How long was your child exclusively

    breast fed?

    Other question : number of sibling, parents

    ages and education, child health (LBW),

    early feeding, frequency of eating selected

    food

  • 7/28/2019 Observational Study Design

    12/45

    Statistical Analyses

    The prevalence of overweight and obese

    children were calculated according to the

    duration of breast feeding

    X2 test (chi square) were used to compare

    breastfed and nonbreastfed children and

    their association to an obese / overweight

    child.

  • 7/28/2019 Observational Study Design

    13/45

    Result

    The prevalences of obesity in children who

    had never been breastfed was 4.5 % as

    compared with 2.8% in breast fed children.

    A clear dose response effect was identifiedfor the duration of breast feeding on the

    prevalence of obesity

  • 7/28/2019 Observational Study Design

    14/45

    The prevalence was 3,8 % for 2 month of

    exclusive breast feeding, 2.3 % for 3-5 month,1.7 % for 6-12 month, and 0.8% for more than12 month

    Breast feeding as a significant protective factor

    against obesity development Similar relations were found with the prevalence

    of being overweight

    The protective effect of breast feeding was notattributable to differences in social class orlifestyle

  • 7/28/2019 Observational Study Design

    15/45

    Conclusion

    Prolonged breast feeding may helpdecrease the prevalence of obesity inchildhood

    Since obese children have a high risk ofbecoming obese adults, such preventive

    measures may eventually result in areductin in the prevalence ofcardiovascular diseases related to obesity

  • 7/28/2019 Observational Study Design

    16/45

    Case Control Study

    A case-control study is distinguished bythe fact that subject are selected on thebasis of whether or not they have the

    disease (or other outcom) of interestCase (person/group with a given disease)are then compared to control (person/group without the given disease) in termsof their history of exposure to ahypothesized causal factor

  • 7/28/2019 Observational Study Design

    17/45

    Case Control Study

    Ascertain of exposure of background of

    the two group and compare the proportion

    Best suited for study of diseases where

    medical care usually sought (hip fracture,

    cancer) bacauses it make to easier to

    identify cases

  • 7/28/2019 Observational Study Design

    18/45

    Stucture

    Exposure Outcome Design

    Exposed a

    Not exposed b

    Exposed c

    Not exposed d

    Population

    Case (peoplewith desease)

    Control (people

    without desease)

    41

  • 7/28/2019 Observational Study Design

    19/45

    Selection of cases

    Ideally, investigator identifies & enrolls allincident cases in a defined population in aspcified time period

    Selected cases from registries or hospital,clinics

    Whenn all incident cases in population are

    included, the study is a representative;otherwise there is potential for bias (e.g.referal bias

  • 7/28/2019 Observational Study Design

    20/45

    Selection of Controls

    Critical that exposure in the control is

    representative of the exposure in the

    population

    Ideal controls would have same/similar

    characteristics as the cases

    Matching case control

  • 7/28/2019 Observational Study Design

    21/45

    Population-Based Controls

    The best control group is a random

    sample of individuals from same source

    population (as the cases) who have not

    the developed the disease

    Population-based controls are the best

    way ensure that the distribution of

    exposure among the controls isrepresentative

  • 7/28/2019 Observational Study Design

    22/45

    Hospitals Control

    Hospital control are the most frequently usedsource

    Hospital control may not be representative of

    exposure rates in the target populationThe use of other ill as person control will

    provide a valid result only if their illness is

    unralated the exposure in question

  • 7/28/2019 Observational Study Design

    23/45

    Benefit of Using Hospital Controls

    Convenient

    Cheap

    NumerusAvoids non-response

    When a population-based case registry is

    not available, hospital control betterrepresent the subpopulation from wich the

    cases arose

  • 7/28/2019 Observational Study Design

    24/45

    Other Controls

    Neighborhood controls are somewhat

    matched on SES & environmental

    exposure but may overmatch & be

    expensive

    Friends & relatives also cause problems

    with overmatching with habits,

    environment and ccupation & aregenerally a poor choice for controls

  • 7/28/2019 Observational Study Design

    25/45

    Use of Multiple Controls

    Case to control ratio used is usually 1:1; if

    large number and cost is the same for

    both group

    If a study has a small number of cases,

    increasing the number of controls increass

    power of study

  • 7/28/2019 Observational Study Design

    26/45

    Advantages

    Relatively shorter time and inexpensiveGood for desease with long latency

    Valuable for studying rare or uncommon

    conditions

    Multiple etiologic factors evaluated for single

    deseases

    Well suited for studying disease with longinduction period

    A relatively small number of subjects are

    required

  • 7/28/2019 Observational Study Design

    27/45

    Disadvantages

    Inefficient if the exposure is very rare

    They are limited to one outcome variable

    Incidence rates or absolute risk estimatescannot be directly derived from them

    Do not establish the temporal sequence of

    event; in some situations the temporal

    relationship between exposure and

    desease may thus be difficult to establish

    42

  • 7/28/2019 Observational Study Design

    28/45

    Disadvantages

    Prone to bias (selection of cases andcontrols recall, misclassification)

    Difficult to determine representativeness of

    case and controlsUnless study is population based cantmeasure incidence of desease

    Bad for rare exposure (despite a largenumber of case, may still end up with fewexpossed cases)

  • 7/28/2019 Observational Study Design

    29/45

    Cohort Studies

    An observational research design which

    begin when a groupof people (a cohort)

    initially free of desease, are classified

    according to a given exposure, and thenfollowed up over time

  • 7/28/2019 Observational Study Design

    30/45

    Cohort Stucture

    Exposure Outcome Design

    Disease a

    No disease b

    Disease c

    Not disease d

    Population

    (People withoutdisease)

    Exposed

    Not

    exposed

  • 7/28/2019 Observational Study Design

    31/45

    Type of Cohort

    1. Prospective

    Fixed

    Open or Dynamic

    2. Retrospective

  • 7/28/2019 Observational Study Design

    32/45

    Prospective Cohort

    Fixed Cohort Study

    When the exposure groups in a cohort

    study are defined at the onset of the study

    without movement of individuals between

    exposure groups, the exposure group are

    reffered to as fixed cohorts (occupational.

    War)

  • 7/28/2019 Observational Study Design

    33/45

    Structure

    Prospective fixed cohort study

    Exposure Disease

    ?

    ?

  • 7/28/2019 Observational Study Design

    34/45

    Prospective Cohort

    Open or Dynamic Cohort Study

    The other type of prospective cohort study

    is the open or dynamic cohort study where

    in individuals can be unexpose at one time

    and unexposed at another time. The

    person time analysis can take this into

    account in calculating incidence densities

  • 7/28/2019 Observational Study Design

    35/45

    Structure

    Prospective dynamic (open) cohort study

    Exposure Disease

    ?

    ?

  • 7/28/2019 Observational Study Design

    36/45

    Retrospective Cohort

    The point of initial exposure occurred

    some time in the past and the experience

    of the population is followed up to the

    present time

    43

    R t ti C h t St t

  • 7/28/2019 Observational Study Design

    37/45

    Retrospective Cohort Structure

    Prospective fixed cohort study

    Exposure Disease

    ?

    ?= Present Basic on which group are selected at

    = Absent beginning of study

    ? = To detemined

  • 7/28/2019 Observational Study Design

    38/45

    Advantages

    Provide strong information about thecausation of disease

    Provide the measurement of the risk of

    developing diseaseExposure can be measured without bias,because at the same time the outcomes

    sre known; known confounder can bemeasured (especially in a prospectivestudy)

  • 7/28/2019 Observational Study Design

    39/45

    Advantages

    Can be used to examine multipleoutcomes

    A range of factor that may influence the

    outcome (e.g. smoking) can be measuredSuitable for examining the effect of rareexposures because this group can be

    preferentially recruited at the baselineAllows the incidence of the disease to beestablished

    Di d

  • 7/28/2019 Observational Study Design

    40/45

    Disadvantages

    Costly and time consumingMay be difficult to accurately define andmeasure exposure in some circumstances

    Losses the follow up are not uncommon andmay introduce serious bias

    Information bias may very in its effect over thecourse of data collection due to sometime

    subtle drifting of the quality of data collectionUse of the retrospective design is only possibleif historical data of adequate quality are

    available

    Rancangan Penelitian

  • 7/28/2019 Observational Study Design

    41/45

    Rancangan Penelitian

    Retrospective

    p

    o

    p

    u

    l

    a

    s

    i

    Efek (+)Retrospektif

    Efek (-)Retrospektif

    F. Resiko (+)

    F. Resiko (-)

    F. Resiko (-)

    F. Resiko (+)

  • 7/28/2019 Observational Study Design

    42/45

    Rancangan Penelitian Cross Sectional

    Populasi /Sampel

    Faktor Resiko (-)Faktor Resiko (+)

    Efek (-)Efek (+)Efek (-)Efek (+)

  • 7/28/2019 Observational Study Design

    43/45

    TERIMA KASIH

  • 7/28/2019 Observational Study Design

    44/45

  • 7/28/2019 Observational Study Design

    45/45