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![Page 1: Developed through the APTR Initiative to Enhance Prevention and Population Health Education in collaboration with the Brody School of Medicine at East.](https://reader035.fdocuments.in/reader035/viewer/2022081519/56649ce45503460f949b114f/html5/thumbnails/1.jpg)
Module 2:Fundamentals of Epidemiology
Developed through the APTR Initiative to Enhance Prevention and Population Health Education in collaboration with the Brody School of Medicine at East Carolina University with funding from the Centers for Disease Control and Prevention
Experimental Studies
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Acknowledgments
APTR wishes to acknowledge the following individual that developed this module:
Jeffrey Bethel, PhDDepartment of Public HealthBrody School of Medicine at East Carolina University
This education module is made possible through the Centers for Disease Control and Prevention (CDC) and the Association for Prevention Teaching and Research (APTR) Cooperative Agreement, No. 5U50CD300860. The module represents the opinions of the author(s) and does not necessarily represent the views of the Centers for Disease Control and Prevention or the Association for Prevention Teaching and Research.
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Presentation Objectives
1. Recognize use of experimental studies as an epidemiologic study design
2. Distinguish between types of experimental studies
3. Describe key features of conducting experimental studies
4. Recognize special considerations of experimental studies
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Analytic Study Designs
Experimental studies (experimental) Researcher determines who is exposed
(treatments received)
Cohort studies (observational) Case-control studies (observational) Cross-sectional studies (observational)
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Experimental StudiesBackground
Goal of public health and clinical medicine is to modify natural history of disease and improve morbidity and mortality
How do we select the best preventive and therapeutic measures?
Carry out studies to determine value of various measures
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Smith, AH. The Epidemiologic Research Sequence. 1984
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Experimental Studies
Most closely resemble controlled laboratory experiments
Gold standard of epidemiological research
High status and validity and can pick up small and modest effects
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Experimental StudiesScurvy
James Lind identified symptoms of scurvy among sailors at sea after as little as a month
Conducted early experimental study on treatment of scurvy in mid-1700’s among British sailors
Small sample size (6 groups of 2 ill sailors)
Group eating oranges and lemons were fit for duty in 6 days
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Experimental Studies Potential Uses
Evaluate new drugs and other treatments for diseases
Evaluate new medical and health care technology
Evaluate new screening programs or techniques
Evaluate new ways of organizing or delivering health services (e.g. home v. hospital care following myocardial infarction)
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Experimental Studies Preventive v. Therapeutic
Preventive Does prophylactic agent given to healthy or high-risk
individual to prevent disease?
Therapeutic Does treatment given to diseased individual reduce risk of
recurrence, improve survival, quality of life?
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Experimental Studies Individual- v. Community-Based
Individual Do women with stage I breast cancer given a lumpectomy
alone survive as long without recurrence of disease as women given a lumpectomy plus radiation?
Community Does fluoride in the water supply decrease the frequency
of dental caries in a community compared to a similar community without such water treatment?
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STUDYPOPULATION
CURRENTTREATMENT
NEWTREATMENT
IMPROVEDO NOT IMPROVE
IMPROVE DO NOTIMPROVE
RANDOM ASSIGNMENT
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Experimental Studies Overall Conduct
Hypothesis formed
Participants recruited based on specific criteria and their informed consent is sought
Eligible and willing subjects randomly allocated to receive one of the two or more interventions being compared
Study groups are monitored for outcome under study (recurrence of disease, first occurrence of disease, getting better, side effects)
Rates of the outcome in the various groups are compared
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Experimental StudiesHypothesis
Women with stage I breast cancer given a lumpectomy alone will survive as long without recurrence of disease as women given a lumpectomy plus radiation
Water supply with fluoride will decrease the frequency of dental caries in a community compared to a similar community without water treated with fluoride
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Experimental StudiesInclusion Criteria for Participants
Who will be in the study? Must be defined specifically before study
begins Remove subjectivity Reproducibility
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Experimental StudiesInclusion Criteria for Participants
Women’s Health Study ≥ 45 years No history of coronary heart disease, cerebrovascular
disease, cancer, or other major chronic illness No history of side effects to any of study medications Were not taking any of following meds more than once
per week: aspirin, NSAIDs, supplements of vitamin A, E, or beta-carotene
Were not taking anticoagulants or corticosteroids
NEJM 352;13:1293-1303
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Experimental StudiesSample Size
How many participants do we need to enroll in the study?
Programs and tables exist to calculate sample size based on various parameters
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TRUTH IN THE POPULATION
CONCLUSION FROM SAMPLE
Ho
(no difference)H1
(there is a difference)
Fail to reject Ho
(no difference)Correct decision Type II error
(Probability = b)
False negative
Reject Ho
(there is a difference)
Type I error(Probability = a)
False positive
Correct decision(Probability = 1- b)
Type I and II errors can be reduced by increasing sample size
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Experimental StudiesSample Size Required Parameters
The difference in effect to be detected Estimate of effect in one group Level of significance ( )a
Probability of concluding treatments differ when they do not differ
Level of power desired (1 - β) Probability of concluding treatments differ when
they do differ 1-sided or 2-sided test
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Experimental Studies Participant Allocation
Compare the outcome among “exposed” to what the outcome would have been if unexposed
This comparison is counterfactual
Instead, compare the outcome among “exposed” group to the outcome in a “substitute” population
Validity of inference depends on finding a valid substitute population
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Experimental StudiesParticipant Allocation
Need to randomly assign participants to one of the intervention groups (test or control)
Randomization Next assignment is unpredictable Coin toss to determine group allocation Random number table, opaque envelopes Computer
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Experimental Studies Randomization
Main purpose Reduces selection bias in the allocation of treatment Each participant has an equal chance of being in test or
control group
Secondary purpose If large enough sample size, produce treatment and control
groups with similar baseline characteristics Control for known and unknown factors
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Experimental Studies Randomization
Baseline Characteristics in a study of heart disease patients
CharacteristicTest Group(n = 9,599)
Control Group(n = 9,586)
Male (%) 72 72
White (%) 95 95
Current smoker (%) 29 30
Patients with a history of:
Hypertension (%) 52 51
Stable angina (%) 22 22
High cholesterol (%) 41 41
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Experimental Studies Randomization
Baseline Characteristics in a study Maternal-Infant HIV Transmission
Characteristic Test Group(n = 239)
Control Group(n = 238)
Median age at entry (yrs) 24 25
White (%) 48 38
Gestational age at entry 29 30
Median (weeks) 26 27
14-26 weeks (%) 52 50
> 26 weeks (%) 48 50
Median CD4 county at entry 41 41
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Experimental Studies Data Collection
Treatment Keep track of which treatment group the participant was
assigned Keep track of which therapy received
Baseline data Collect baseline demographic and other risk factor data Compare treatment groups
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Experimental Studies Data Collection
Measuring outcome Must be conducted in same fashion for all treatment
groups
Preventive studies▪ Precursors of disease or first occurrence of disease
Therapeutic studies▪ Symptom improvement▪ Length of survival▪ Disease recurrence
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Women’s Health Study
Myocardial infarction Symptoms met WHO criteria Abnormal levels of cardiac enzymes or diagnostic
electrocardiograms
Stroke New neurologic deficit of sudden onset that persisted for at
least 24 hours
Death from cardiovascular disease Examination of autopsy reports, death certificates, medical
records, and information obtained from the next of kin or other family members
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Experimental Studies Data Collection
Masking (Blinding) Prevents conscious and subconscious bias in research
Use placebo to mask
Single blind: participants do not know which treatment they are receiving
Double blind: participants and observers (data collectors) do not know participant treatment status
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Experimental StudiesParallel v. Crossover
Parallel Participants in each group simultaneously receive one
study treatment Treatment and comparison groups consist of different
participants
Crossover Planned reversal of intervention and control groups Each participant can serve as his/her own control
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STUDYPOPULATION
NEW TREATMENT CURRENT TREATMENT
RANDOMLY ASSIGNED
Group 1
Group 1
Group 2
Group 2
Group 2
Group 2
Group 1
Group 1
Observe and Measure Effects
Observe and Measure Effects
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Experimental StudiesSimple v. Factorial
Simple Each group receives a treatment consisting of one
component (e.g. one drug)
Factorial Use same study population to compare 2 or more
treatments 2 x 2 factorial design Similar to 3 arms (drug A, drug B, and placebo) with fewer
participants
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Experimental StudiesFactorial
Drug A
Drug B Yes No Efficacy of B
YesBoth
A and B(cell a)
B only(cell b) a+b
v.c+d
No A only(cell c)
Neither(cell d)
Efficacyof A a+c v. b+d
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Aspirin
Beta-carotene
Yes NoEfficacy of
Beta-Carotene
YesAspirin and
Beta-carotene(cell a)
Beta-carotene only
(cell b) a+bv.
c+dNo Aspirin only
(cell c)Neither(cell d)
Efficacyof Aspirin a+c v. b+d
Experimental StudiesFactorial
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Experimental StudiesNoncompliance
Overt Notify investigators he/she is dropping out of study Drop outs
Covert Stop taking assigned treatment without telling investigators Need to build compliance checks in to the study (e.g. test
urine, count pills, etc.)
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Experimental StudiesExpressing Results
Efficacy Reduction in risk Calculate risk of death, developing disease,
complications in each group
Vaccine example
= (Rate in placebo group) – (Rate in vaccine group) Rate in placebo group
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Experimental StudiesExpressing Results
Relative risk Kaplan-Meier plot Hazard ratio Number of patients who would need to be treated
(NNT) to prevent 1 adverse event Number needed to harm (NNH) indicates number
patients treated to cause harm in 1 patient who would not otherwise have been harmed
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Experimental StudiesValidity of Results
Internal validity Extent to which the study groups are comparable Comparability Reflected by selection/randomization
External validity Extent to which the results of a study can be applied to
people not in it Generalizability Representativeness
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STUDYPOPULATION
CURRENTTREATMENT
NEWTREATMENT
RANDOMLY ASSIGNED
REFERENCEPOPULATION
ExternalValidity
Internal Validity
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Experimental StudiesValidity of Results
Items affecting internal validity Loss to follow-up Lack of randomization
Items affecting external validity Loss to follow-up Low response rate Narrow inclusion criteria
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Experimental StudiesEthical Considerations
Randomization There must be genuine uncertainty about which treatment
is better
Informed consent Some trials enroll participants immediately after diagnosis
When to stop the study? Harmful or beneficial effects of one treatment arm Outside board monitors study
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Experimental StudiesDisadvantages
Expensive and time-consuming Ethical concerns may arise A large number of participants may be required Participant exclusion may limit generalizability Compliance may be an issue Influence of sponsorship
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Experimental StudiesAdvantages
Randomization tends to balance risk factors across study groups
Blinding of participants can reduce bias in assessment of outcomes
Prospective design Eliminate bias by comparing two otherwise identical
groups Detailed information collected at baseline and
throughout study period
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Summary
Experimental studies top epidemiologic study design hierarchy in terms of validity
Investigators assign treatment to participants (experimental)
Randomization reduces selection bias in treatment allocation
Data collection must be conducted systematically Noncompliance and drop-outs must be minimized to
increase validity of results
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Collaborating Institutions
Center for Public Health Continuing EducationUniversity at Albany School of Public Health
Department of Community & Family MedicineDuke University School of Medicine
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Advisory Committee
Mike Barry, CAELorrie Basnight, MDNancy Bennett, MD, MSRuth Gaare Bernheim, JD, MPHAmber Berrian, MPHJames Cawley, MPH, PA-CJack Dillenberg, DDS, MPHKristine Gebbie, RN, DrPHAsim Jani, MD, MPH, FACP
Denise Koo, MD, MPHSuzanne Lazorick, MD, MPHRika Maeshiro, MD, MPHDan Mareck, MDSteve McCurdy, MD, MPHSusan M. Meyer, PhDSallie Rixey, MD, MEdNawraz Shawir, MBBS
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APTR
Sharon Hull, MD, MPHPresident
Allison L. LewisExecutive Director
O. Kent Nordvig, MEdProject Representative