choose design
TRANSCRIPT
Research Design:Choosing the Study Design
Kimberly R. Barber
Director of Research
McLaren Regional Medical Center
Yes No
Yes No Yes No
Exposure Outcome Exposure & Outcome Simulteneous
Exposure Outcome
Assign Exposure?
Experimental Observational
Random allocation Comparison group
RCT Non-RCT
Analyticstudy
Descripstudy
Direction?
Cohort Case-Control
Cross-Section
Design to Employ
Dependent on the hypothesis posed.– Is your intent to observe, associate factors, or
show cause and effect?– Are exposure or outcome factors common or
rare?– Are your resources many or constrained?
Types of Study Designs
Observational Designs– Descriptive– Analytic
Cross-sectional, Case-control, Cohort
Experimental Designs– Quasi experimental
Non randomized or non control trial
– True experimental Randomized Controlled Trial
Descriptive Studies
No assignment of exposure or risk factor. Intent is to observe and record.
Record events or activities.– Single event or case = Case Report.– Several events or cases = Case Series.
Cross-Sectional Studies
Measurement of risk and outcome at the same time.
Outcome
Risk factor
Cross-Sectional Design
The only study capable of calculating prevalence.
– Proportion of the population with the outcome at any point in time.
Cross-Sectional Studies (cont)
Most useful if exposure continues right up to time that outcome is recognized.
Often conducted as screening and classification preamble to prospective studies.
Application Exercise: Cross-Sectional Study
Design a cross-sectional study that examines the relationship between dietary sodium and hypertension in middle-aged men.
What research question can we answer?
Cross-Sectional StudiesAdvantages
Cheap and quick studies. Data is frequently available through current
records or statistics. Ideal for generating new hypothesis.
Cross-Sectional StudiesDisadvantages
The importance of the relationship between the cause and the effect cannot be determined.
Temporal weakness:– Cannot determine if cause preceded the effect or
the effect was responsible for the cause.– The rules of contributory cause cannot be fulfilled.
Case-Control Studies (Retrospective)
Case/Control Studies.– Group subjects according to the presence or
absence of the outcome.
– Review past histories of the subjects for the occurrence of suspected risk factors.
?
?
DiseaseRisk
Case / Control Studies (cont)
Case / Control studies have two main purposes:
Descriptive – Describe the risk factor profile for an outcome.
Analytic – Analyze associations between outcome and risk
factors.
Application Exercise:Case / Control Study
Describe a case/control study on the relationship between childhood obesity, smoking history, and occurrence of hypertension in middle-aged men.
What research question can we answer?
Case / Control StudiesAdvantages
Are good initial explanatory studies.– Investigators can explore multiple risk factors
simultaneously for one outcome.
Are efficient, relatively cheap, and quick.– Data available through
chart review.
Case / Control Studies Advantages (cont)
Well suited for rare diseases.– Since the study begins with subjects who already
have the outcome, it is easier to accumulate enough subjects for significant results.
Case / Control StudiesDisadvantages
Data Quality– Data with inadequate detail, questionable
reliability, or use a different standard to judge disease severity.
Recall bias– Subjects who have unpleasant experiences may
recall past differently than control subjects.
Retrospective StudiesDisadvantages (cont)
Sampling bias– Sample usually not representative of all subjects
who could be included.
Other– Capable of studying only one outcome at a time– Cannot calculate prevalence or incidence.– Subject to confounding factors. – Cannot prove contributory cause.
Cohort Studies(Prospective)
Subjects identified according to the presence or absence of the risk factor.
Followed over time until the outcome occurs or becomes evident.
Cohort Studies (cont) Subjects with and without the suspected risk
factor are followed for the development of the outcome.
– The frequency of the outcome is compared between the two groups.
Disease
?
?
Risk
Cohort Studies (cont)
Cohort studies have two main purposes: Descriptive
– Describe the incidence of outcome over time.
Analytic – Analyze associations between risk factors and
outcome.
Historical Cohort Studies(Non concurrent)
The following all happen in the past:– Assembly of the cohort according to the presence
of absence of risk factors.– Baseline measurements– Follow-up and outcomes
Exposure
?
?
Disease
Historical Cohort (cont)
Are not retrospective studies.– Subjects are grouped according to the presence
or absence of risk factors (past or present).
– Subjects in retrospective studies are grouped according to the presence or absence of the outcome.
Cohort StudiesAdvantages
More powerful design for defining incidence. Powerful design for associating the cause
with the effect.– Can suggest that the cause precedes the effect.– Data can be collected in a comprehensible and
uniform fashion. Exception: historical cohort with same measurement
weaknesses as the case/control.
Cohort StudiesAdvantages (cont)
No recall bias. Cohort designs can examine many outcomes
for potential risk factors under investigation.
Cohort StudiesDisadvantages
Expensive in time, money, and number of patients necessary to demonstrate significant differences between groups.
Less likely than retrospective studies to uncover new risk factors.
Also subject to confounding.
Cohort StudiesDisadvantages (cont)
Loss of valuable information due to patient attrition.
Patients may change their behaviors or risk factors after the initial grouping of subjects resulting in misclassification and study error.
Clinical Trial
Experimental study– Unique features: – Intervention in the subject’s care for the
purposes of the study.– Randomization of subjects. – Control group comparison.
Placebo or treatment
Clinical Trial Design
Randomized
Intervention/
Effect
Outcome
X
X
Clinical Trial (cont)
Randomization– Subjects are randomly assigned to control or
experimental group.
– Groups are similar in every way except for the intervention under study.
– Each subject has equal probability of being placed in either group.
Clinical TrialsAdvantages
Subject to the fewest methodological biases of all study designs.
Most powerful study designed to show contributory cause.
Clinical TrialsDisadvantages
Is the most expensive study design in terms of money, time, and number of patients.– Issues of patient attrition and compliance may
invalidate the results.– Can be problematic for ethical reasons.
Use of placebo Harm outweighing benefits Zero tolerance for some exposures
Choosing the Specific Design
Study design is highly dependent on the type of analysis. (3)
Type of analysis is dependent on the hypothesis posed. (2)
The hypothesis is dependent on the intent of your research. (1)
1. Research Study Intent
Know the problem.
Determine what you want to conclude.
Formulate the question.
Examples of Intent
I intend to show that aspirin resistance is associated with the severity of heart disease. – I will compare levels of aspirin resistance among
patients with differing severity of heart disease. I intend to show that breast feeding is
protective against allergies developing in infants. – I will compare rates of allergies among women
who breast feed and those who do not.
2. Research Hypothesis Know the question you
want answered.
Restate the question into terms of Ho and Ha.
Think about corresponding analysis.
Examples of Hypotheses
Is aspirin resistance associated with heart disease?– Aspirin resistance increases the risk of heart
attack.
Is breast feeding associated with allergies?– Breast feeding decreases the risk of allergies in
babies.
3. Statistical Plan of Analysis
Correlation?
Comparison?
Association?
Difference?
Examples of Analysis
The level of aspirin resistance is compared between those with heart attack and those without.– Differences in resistance scores between two
groups (Student T-test)
The rate of infant allergies is compared among women who breast feed and those who do not.– Relative risk association (Chi square analysis)
Choose Appropriate Design
Cross-sectional.
Case-control.
Cohort.
Clinical Trial.
Apply the Best Design
Think about the measures to be used.
Know the analysis required.
Rethink desired conclusions.
Summary
Study Design key to determining cause or just association.
Each design has unique strengths & weaknesses.
The design drives the conclusions.