descriptive and cross sectional studies

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    Epidemiological study designs

    1

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    The life cycle of epidemiological investigations:

    The never ending story

    Identifying

    data needs

    Spelling out the

    research question

    Formulating the

    study objectives

    Planning the

    analysis

    Preparing data

    collection instruments

    Analysing data

    Drawing conclusions

    Formulating

    recommendations

    Involving the

    programme

    Collecting data

    Here we

    go again

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    Descriptive Studies

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    Epidemiologic Study Designs

    Grimes & Schulz, 2002 (www)4Descriptive studies

    http://dx.doi.org/10.1016/S0140-6736(02)07283-5http://dx.doi.org/10.1016/S0140-6736(02)07283-5
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    Epidemiologic Study Designs

    Grimes & Schulz, 2002 (www)5Descriptive studies

    Descriptive

    study

    http://dx.doi.org/10.1016/S0140-6736(02)07283-5http://dx.doi.org/10.1016/S0140-6736(02)07283-5
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    Hierarchy of Epidemiologic Study Designs

    Tower & Spector, 2007 (www)

    http://taylorandfrancis.metapress.com/content/n708745v34251883/http://taylorandfrancis.metapress.com/content/n708745v34251883/
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    Descriptive studies 7

    Start ofHIV/AIDSResearch

    New outbreak of

    oral tumors,

    malignancies and

    infectious diseases

    strikes young male

    homosexuals

    CDAJ, 1982Squamous cell

    carcinoma in sexualpartner of Kaposi

    sarcoma patient

    Lancet,1982

    AIDS in the "gay"

    areas of SanFrancisco

    Lancet, 1983

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    Meticulous observations by

    Burkitt

    Epstein Barr Virus

    BurkittsLymphomaDescriptive studies 8

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    Descriptive study - Definition

    A study concerned with and

    designed only to describetheexisting distribution ofvariables without regard to

    causal or other hypotheses(John M. Last).

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    escriptive Studies

    Are often the first step inepidemiological investigation

    Allow natureto take its course

    The simplestof epidemiologicalstudies

    Often stimulate the initiationfor moredetailed studies

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    Descriptive Study VsAnalytical Study

    Descriptive Study Analytical Study

    Concerned with characteristicsthe amount and distributionof disease within a population

    Concerned with determinants ofdisease, reasons for relatively

    high or low frequency ofdisease in specific population

    subgroups

    Used to identify any healthproblem that may exist

    Proceed to identify the causesof the problem

    Generateshypothesis Testshypothesis

    Precedesanalytical study Followsdescriptive study

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    Prevalence of smoking in adultmen in South India

    Country

    Percentage of smokers

    Urban Rural

    Tamilnadu 66 88

    Kerala 88 84

    Karnataka 76 41

    Andhrapradesh 57 75

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    Prevalence of Flourosis, India

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    Procedures in Descriptive studies

    1. Defining the populationto bestudied

    2. Defining the diseaseunder study

    3. Describing the diseaseby person,place & time

    4. Measurementof disease

    5. Comparingwith known indices6. Formulation of an etiological

    hypothesis

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    1 Defining the population to be studied

    Investigations of populations notindividuals

    Total number, age, sex, occupation, etc.,

    Whole population or a representativesample or a selected group

    The chosen community should be stable

    A close health facility

    Defined population is the Denominator

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    2. Defining the disease under study More investigators / interviewers may be involved

    Epidemiologist Operational definition

    Precise Clearly indicates who is a case

    Valid The identified case should actually have the disease

    Acceptable to the population Too many decline consent Applicable to large numbers

    Eg. Malaria

    Epidemiologist frames his own definition if necessary

    Adherence

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    3. Describing the disease byperson, place & time

    Person Place Time

    Age, Sex, Height,Weight

    Country, Region Year, Season

    Birth order, Familysize

    Urban, Rural, Localcommunity

    Month, Week

    Occupation,

    Education, socialstatus

    Towns, Cities Day, Hour of onset

    Blood pressure,Blood cholesterol

    Institutions Duration

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    4. Measurement of disease

    Mandatory to know the Burden ofillness.

    Morbidity, mortality, disability etc.,

    Mortality straightforward

    Morbidity two aspects

    Incidence from longitudinal studies

    Prevalencefrom cross sectionalstudies

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    5. Comparing with known indices

    Essence of epidemiology

    Between different populations,

    subgroups of same population

    Provides clues to etiology

    Also identifies groups which are atincreased risk for certain diseases

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    6. Formulation of anetiological hypothesis

    Hypothesis- supposition arrived at fromobservation or reflection that can be tested bycollecting facts that lead to their acceptance

    or rejection. It is a refutable prediction. Hypothesis should be complete and specific

    a. Population

    b. Specific cause considered

    c. Expected outcome

    d. Dose response relationship

    e. Time response relationship

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    For Example:

    Cigarette smoking causes lung

    cancer

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    Smokingof30 40cigarettes per daycauses

    lung cancer in 10% ofsmokers after20 years of

    exposure

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    Smokingof30 40cigarettes per daycauses

    lung cancer in 10% ofsmokers after20 years of

    exposure

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    POPULATION

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    Smokingof30 40cigarettes per daycauses

    lung cancer in 10% ofsmokers after20 years of

    exposure

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    SPECIFIC

    CAUSE

    POPULATION

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    Smokingof30 40cigarettes per daycauses

    lung cancer in 10% ofsmokers after20 years of

    exposure

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    OUTCOME

    SPECIFIC

    CAUSE

    POPULATION

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    Smokingof30 40cigarettes per daycauses

    lung cancer in 10% ofsmokers after20 years of

    exposure

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    OUTCOME

    DOSESPECIFIC

    CAUSE

    POPULATION

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    Smokingof30 40cigarettes per daycauses

    lung cancer in 10% ofsmokers after20 years of

    exposure

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    OUTCOME

    DOSESPECIFIC

    CAUSE

    POPULATION

    TIME-RESPONSE

    RELATIONSHIP

    f

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    Types of Descriptive Studies

    Case Report & Case Series

    Descriptive Cross-sectional

    Studies (Community Surveys)

    Ecological Descriptive Studies

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    Case Report & Case Series

    A case study (case report) is a methodof descriptive research thatdocuments a practitioners

    experiences, thoughts, orobservations related to the care of a

    singleclient of a specific condition.

    A case series combines theobservations from a group of similarclients

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    Benefits of case studies

    Convey detailed information that mightbe lost in a clinical trial throughdocumentation of actual events andinterventions in clinical practice

    Are faster and less expensive tocomplete than clinical trials

    Provide a rationale for furtherinvestigation

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    Descriptive Cross-sectional Studies(Community Surveys)

    Simplest of descriptive studies

    Based on a single examination of across-section of population at one point

    of time. Also known as Prevalence survey.

    A survey with questions used to describea population

    Do you take vitamins?

    What vitamins do you take?

    When do you take them?32Descriptive studies

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    Ecological Descriptive Studies

    When the unit of observation is anaggregate (e.g. family or school) of anecological unit (a village, town or

    country) the study becomes anecological descriptive study.

    Eg:Esophageal cancer rates in Japan

    Eg: Occurrence of higher number ofrespiratory illness in different citieswith different levels of pollution.

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    Uses of Descriptive studies

    Provide data regarding the magnitude ofthe disease load and types of diseaseproblem in the community in terms ofmorbidity and mortality rates

    Provide clues to etiology Provide background data for planning,

    organizing and evaluating preventive andcurative services

    Contribute to research by describingvariations in disease occurrence byPerson, Place & Time

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    Cross-Sectional Studies

    Begin with Cross-sectional sample

    Determine Exposureand Diseaseat same

    time

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    Cross-sectional study

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    Cross-sectional studies

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    Cross-sectional No direction

    Exposure

    (Risk Factor)

    Disease(Outcome)+

    +

    _

    _

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    Ill Non-ill Total

    Exposed a b a+b

    Non-exposed c d c+d

    Total a+c b+d a+b+c+d

    Presentation of the data of a cross-sectional

    study in a 2 x 2 table

    Known simultaneously when the study is completed

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    Risk measurement from a

    cross-sectional study

    Prevalence of illness among exposed and

    compare it with that of non-exposed

    a/a+b /c/c+d Prevalence of exposure among ill and

    compare it with that of non-ill

    a/a+c /b/b+d

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    Thank you!

    D i i di 41