Title: Design Issues In Nitty Gritty Epidemiology
1Design Issues In Nitty Gritty Epidemiology
- Outcomes and Exposures
- Person, Place, and Time
2Web Site
- http//www.sph.uth.tmc.edu
- /courses
- choose epidemiology
- choose PH2610
3Nitty Gritty
- the actual state of things
- what is ultimately essential and true
- From Websters New Collegiate Dictionary, 1977.
GC Merriam Co
4Epidemiology
- Epidemiology involves a way of thinking
- Training the mind to think critically
- Epidemiology is a systematic way of reasoning to
solve a problem
5Epidemiology
- 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
6Definition 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
7Specified 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
8Key components
- encompass all epidemiologic principles
- and methods
- Frequency
- Distribution
- Determinants
9Frequency
- 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
10What 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
11Defining 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
12Case 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
13Cystic Fibrosis case definition
- Am. J. Epidemiol. 2002 156 397-401
14Alzheimers Disease definition
- Am. J. Epidemiol 2002 156445-453
15Distribution
- Distribution of cases in a defined population by
person, place, and time - define cases
- count
- proportions, rates, ratios, differences
- prevalence, incidence
16Prevalence
- 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.
17Incidence
- 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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19Determinants
- 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)
20Determinants
- 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
22Steps 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
23Descriptive 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
24Basic 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
25Steps of epidemiologic research
- The research question - specific to
- Outcome definition
- Exposures definition
- Person
- Place
- Time
26Person
- Disease is often reported by three
characteristics of person - age
- sex
- race/ethnicity
27Person - 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
28Mortality by Age
29Incidence of disease by age
30Infection rate by age
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32Person - Sex
- Sex
- physiologic
- Gender
- sociologic
33Person - Sex
34Person - 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
35Death by race/ethnicity
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37Person - 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
38Person - Socioeconomic Status
- Measurement of social class
- occupation
- social position
- education
- income
39Sever illness by social class
Source. J Clin Pathol 21(S2)31, 1968
40Person
- 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
41Place 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
42Time
- Cyclic fluctuation
- Epidemic
- Change over time
- Cohort effect
- a group of persons who share something in common
- particular or general exposure
43Time
- time after certain exposure
- time of day
- day of week
- time of year
- over time (secular trends)
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53Outbreak Investigation
54Outbreak 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
55Outbreak 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
56Example
- Outbreak investigation
- Food-borne disease associated with church picnic
- Illness 6 to 24 hours after a church picnic
- vomiting diarrhea
- chills nausea
- fever
57Example
- 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
58Example
- Who, When, Where
- How many attended picnic
- How many got sick
- When and what the people ate and drank
59Example
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
60Example
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
61Example
- 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
62Methods
- 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.
63Investigate
- 35 people were affected and 50 ate at the church
dinner.
64Epidemic
- 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.
65Attack Curve
66Food-Specific Attack Rates
AR Attack Rate RD risk difference RR
Relative Risk
67Food-Specific Attack Rates
68Food-Specific Attack Rates
69Food-Specific Attack Rates
70Investigating food borne illness
71Critical 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)
72Defining 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
73Defining case
- Natural course of disease
- Exposure ? onset ? symptoms ? dx ? outcome
Incubation period
Recovery Death Chronic disease
Clinical Stage
Subclinical Stage