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Design Issues In Nitty Gritty Epidemiology

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Title: Design Issues In Nitty Gritty Epidemiology


1
Design Issues In Nitty Gritty Epidemiology
  • Outcomes and Exposures
  • Person, Place, and Time

2
Web Site
  • http//www.sph.uth.tmc.edu
  • /courses
  • choose epidemiology
  • choose PH2610

3
Nitty Gritty
  • the actual state of things
  • what is ultimately essential and true
  • From Websters New Collegiate Dictionary, 1977.
    GC Merriam Co

4
Epidemiology
  • Epidemiology involves a way of thinking
  • Training the mind to think critically
  • Epidemiology is a systematic way of reasoning to
    solve a problem

5
Epidemiology
  • Assumption
  • Disease does not occur randomly
  • Disease has identifiable causes
  • which can be altered
  • and therefore prevent or delay the onset of
    disease
  • Source Hennekens CH and Buring JE. Epidemiology
    in Medicine.
  • Boston Little Brown Co. 1987

6
Definition of Epidemiology
  • The study of the distribution and determinants of
    health-related states or events in specified
    population, and the application of this study to
    control of health problems.
  • source Last (ed.) Dictionary of Epidemiology,
    1995

7
Specified populations
  • any group, with identifiable characteristics
  • adult men
  • adolescent women
  • children with cystic fibrosis
  • neonates admitted to the NICU
  • patients on dialysis
  • individuals with hypertension

8
Key components
  • encompass all epidemiologic principles
  • and methods
  • Frequency
  • Distribution
  • Determinants

9
Frequency
  • Quantification of the presence of disease
    (health-related state)
  • How to define disease?
  • Careful definition and systematic counting is the
    prerequisite for any investigation of the
    patterns of occurrence

10
What is a case
  • Health-related states or events
  • diseases, causes of death, behaviors, reactions
    to preventive regimens, and provision and use of
    health services
  • Specifically defined outcomes
  • Death (mortality) and Disease (morbidity)
  • Disability, Discomfort
  • Dissatisfaction (health related quality of life)
  • Also good things

11
Defining case
  • Definition may be restrictive or broad depending
    on the scope of the study
  • Detection and diagnosis
  • may be difficult in latent or subclinical
    disease, so diagnostic criteria may be included
    in case definition criteria

12
Case Definitions
  • Chronic fatigue syndrome
  • Toxic shock syndrome
  • West Nile VirusWest Nile Virus Brochure - CDC
    Division of Vector-Borne Infectious Diseases
    (DVBID).htm
  • Human Immunodeficiency Virus
  • Pregnancy

13
Cystic Fibrosis case definition
  • Am. J. Epidemiol. 2002 156 397-401

14
Alzheimers Disease definition
  • Am. J. Epidemiol 2002 156445-453

15
Distribution
  • Distribution of cases in a defined population by
    person, place, and time
  • define cases
  • count
  • proportions, rates, ratios, differences
  • prevalence, incidence

16
Prevalence
  • the number of affected persons present in the
    population at a specific time, divided by the
    number of persons in the population at that time.

17
Incidence
  • the number of new cases of a disease that occur
    during a specified period of time in a population
    at risk for developing the disease.

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19
Determinants
  • Determinants
  • Causes of disease or health related states
  • risk factors (smoking, alcohol use, obesity)
  • preventive factors (seat-belt use, anger-control
    intervention)
  • prognostic factors (spirituality, physical
    therapy)

20
Determinants
  • physical, biological, social, cultural, and
    behavioral factors that influence health
  • Risk factors for disease include
  • age, gender, SES, HTN, smoking, exercise
  • genetic predisposition
  • religious beliefs
  • However for each of these there are potential
    errors in measurement

21
  • Questions designed to assess specific information
    on beverage consumption included the following
  • caffeine-containing and decaffeinated beverages,
  • weekday and weekend day consumption,
  • the size of the container (accounting for ice),
  • the method of brewing coffee or tea, and the
    portion of the container consumed.
  • The following sources of caffeine were included
    coffee, tea, sodas, hot chocolate, chocolate
    snacks, and medications.
  • To blind subjects to the purpose of the study,
    data were also collected on the consumption of
    other beverages that commonly changes during
    pregnancy, such as milk and alcohol. At the
    initial interview, examples of container sizes
    and pictorial representations of brewing methods
    were displayed. Am J Epidemiol 2002
    156428-437

22
Steps of epidemiologic research
  • To describe and measure the distribution of
    disease in the population
  • Define a case / count cases (outcome)
  • Describe who has the disease (person)
  • Describe when and where the disease occurred
    (place and time)
  • Finally, compare outcomes among groups

23
Descriptive Epidemiology
  • evaluate trends in health/disease
  • compare across populations
  • provide a basis for planning and evaluation of
    health services
  • suggest areas for investigation
  • identify problems by analytic methods

24
Basic Tenets of Epidemiology
  • The distribution of disease occurs in patterns in
    a community
  • The pattern of disease in communities is
    predictable
  • Characteristics of the pattern may suggest or
    lead to measures to control or prevent the disease

25
Steps of epidemiologic research
  • The research question - specific to
  • Outcome definition
  • Exposures definition
  • Person
  • Place
  • Time

26
Person
  • Disease is often reported by three
    characteristics of person
  • age
  • sex
  • race/ethnicity

27
Person - AGE
  • Age is the most important determinant among
    person variables
  • age-specific death rates are J shaped
  • higher death rates at very young ages
  • lower death rates from about 5-24
  • steadily increasing rates from 25

28
Mortality by Age
29
Incidence of disease by age
30
Infection rate by age
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Person - Sex
  • Sex
  • physiologic
  • Gender
  • sociologic

33
Person - Sex
34
Person - Race/Ethnicity
  • African American
  • higher mortality
  • American Indian
  • Diabetes Mellitus, obesity
  • Asian
  • Lower mortality
  • Hispanic/Latino
  • Diabetes Mellitus in Mexican Americans
  • Migration - Foreign born vs. American born

35
Death by race/ethnicity
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37
Person - Socioeconomic Status
  • Low income/social class have excess mortality,
    morbidity and disability rate
  • negative health effects
  • Factors include poor housing/crowding, racial
    disadvantage, poor education/ unemployment,
    environmental hazards exposure, negative
    lifestyle, lack of access to health care

38
Person - Socioeconomic Status
  • Measurement of social class
  • occupation
  • social position
  • education
  • income

39
Sever illness by social class
Source. J Clin Pathol 21(S2)31, 1968
40
Person
  • Married individuals have lower rates of disease
  • A protective factor in health, due to a
    beneficial environment, lifestyle factors, social
    support
  • Religion
  • Important influence on lifestyle behavioral
    factors, social support

41
Place geographic area
  • natural boundaries
  • city blocks
  • neighborhoods
  • cities
  • counties
  • regions
  • countries
  • urban / rural
  • resident or nonresident
  • legal or undocumented
  • place of occupation
  • place of residence

42
Time
  • Cyclic fluctuation
  • Epidemic
  • Change over time
  • Cohort effect
  • a group of persons who share something in common
  • particular or general exposure

43
Time
  • time after certain exposure
  • time of day
  • day of week
  • time of year
  • over time (secular trends)

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53
Outbreak Investigation
54
Outbreak Investigation
  • Verify that there is a problem
  • Define the numerator (cases)
  • Develop a case definition and verify cases
  • Clinical features
  • Serologic markers
  • Cultural aspects
  • Develop hypotheses

55
Outbreak investigation
  • Collect and analyze data
  • Define the denominator
  • What is the population at risk?
  • Calculate the attack rates
  • Refine hypotheses
  • Implement control measures
  • Evaluate effectiveness of control
  • Develop prevention strategies

56
Example
  • Outbreak investigation
  • Food-borne disease associated with church picnic
  • Illness 6 to 24 hours after a church picnic
  • vomiting diarrhea
  • chills nausea
  • fever

57
Example
  • Case definition
  • vomiting (more than 2 times in 24 hours) 6 or
    more hours after picnic
  • nausea, chills and
  • diarrhea (more than 3 bowel movements in 24
    hours) 6 or more hours after picnic

58
Example
  • Who, When, Where
  • How many attended picnic
  • How many got sick
  • When and what the people ate and drank

59
Example
This can help us determine what the sick
individuals ate, but can it help us identify the
probable cause of the illness? What is missing?
  • 80 attended
  • 55 got sick within 6 to 10 hours
  • ate/ill
  • potato salad 55/55
  • ham sandwiches 10/55
  • hamburgers 4/55
  • chicken salad 2/55

60
Example
Would percentages or rates be easier to compare?
  • 80 attended
  • 55 got sick within 6 to 10 hours
  • Ill Not Ill
  • potato salad 55/55 25/25
  • ham sandwiches 47/55 8/25
  • hamburgers 4/55 13/25
  • chicken salad 2/55 2/25

61
Example
  • 80 attended
  • 55 got sick within 6 to 10
  • Ill Not
    Ill
  • potato salad 55/55 100 25/25 100
  • ham sandwiches 47/55 85 8/25 32
  • hamburgers 4/55 7 13/25 52
  • chicken salad 2/55 4 2/25 8

62
Methods
  • 35 people in a small rural community became ill
    with diarrhea, abdominal cramps, nausea, and
    vomiting during a period of 36 hours.
  • Investigation has indicated that all cases
    attended a picnic on Sunday, and had eaten at
    approximately 4 p.m.

63
Investigate
  • 35 people were affected and 50 ate at the church
    dinner.

64
Epidemic
  • A bar-graph was made showing the number of cases
    vs. the time after which the meal was eaten.
  • To investigate the effect of each food on
    outbreak of disease, food-specific attack rates
    were calculated.

65
Attack Curve
66
Food-Specific Attack Rates
AR Attack Rate RD risk difference RR
Relative Risk
67
Food-Specific Attack Rates
68
Food-Specific Attack Rates
69
Food-Specific Attack Rates
70
Investigating food borne illness
71
Critical Reasoning
  • These all started with outbreak investigation
    reports and simple non-experimental
    epidemiologic studies
  • Lyme Disease (1975)
  • Legionellosis (1976)
  • AIDS (1981)
  • Hantavirus (1993)
  • DES exposure (1989)
  • EMS/ tryptophan (1970)
  • TSS (1980)

72
Defining case
  • Natural history
  • the course (stages) of disease from exposure to
    ultimate resolution without intervention
  • critical in detection, diagnosis, establishment
    of causality, and prevention/control

73
Defining case
  • Natural course of disease
  • Exposure ? onset ? symptoms ? dx ? outcome

Incubation period
Recovery Death Chronic disease
Clinical Stage
Subclinical Stage
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