Research: Basics of Research Study Design...Interviewed Chinese, Japanese, and Filipino women in Los...
Transcript of Research: Basics of Research Study Design...Interviewed Chinese, Japanese, and Filipino women in Los...
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Basics of Research Study Design
Karen H. Hagglund, M.S.
Medical Education
Ascension St. John Hospital
Email: [email protected]
Research:
How Do I Begin???
Take It “Bird by Bird”Anne Lamott
Let’s Take it Step by Step...
Identify topic
Literature review
Variables of interest
Research hypothesis
Design study
Power analysis
Write proposal
Design data tools
Committees
Collect data
Set up spreadsheet
Enter data
Statistical analysis
Graphs
Slides / poster
Write paper /
manuscript
Preliminary Steps to Research
Design: Identify Topic
Can be a difficult first step
Your interest & attitude
Observation
Discussion
Hot topics
Faculty research
Preliminary Steps to Research
Design: Research Hypothesis
Topic research question
Research question hypothesis
– Null hypothesis (H0)
• Predicts no effect or difference
– Alternative hypothesis (H1)
• Predicts an effect or difference
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Hypothesis Testing
What Question are you trying to answer?
Will routine use of procedure checklists
improve patient safety?
Hypothesis (H1): Procedures consistently aided
by checklist use will cause
fewer patient complications.
Hypothesis (H0): Consistent checklist use
does not alter procedural
complications
Null
Hypothesis Testing
Goal of any Research Study
and of
the Statistical Analysis:
Disprove the Null Hypothesis
(H0)
Hypothesis Testing
TRUTH
Difference Exists No Difference(H1) (H0)
Difference Exists True Type I or
(Reject H0) Conclusion error
Power (1-)
No Difference Type II or True(Do not reject H0) errorConclusion
(1-)
Preliminary Steps to Research
Design: Variables of Interest
• Independent variables
• groups
• cause
• Dependent variables• end points
• effect or outcome
• These should be defined operationally
Operational Definitions
Define a hypothetical construct in
terms of the operations used to
measure it
Operational definitions are precise,
measurable & concrete
First used by Harvard physicist
Percy Bridgman in the 1920’s
Some are easily defined...
Height
Weight
Temperature
Blood Pressure
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Some are NOT so easily
defined...
Pain
Patient satisfaction
Professional competency
?
How to approach difficult-to-
define variables of interest
Operational definitions are the best we can do
Look to the experts for their operational
definitions
Use standardized tests that measure the
construct of interest
– reliability measurements
– validity measurements
Example
Topic: Cancer & Smoking
Research Question: Is there a
relationship between smoking &
cancer?
H0: Smokers are not more likely to
develop cancer compared to non-
smokers.
H1: Smokers are more likely to
develop cancer than are non-smokers.
Let’s Design the Study!
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Who are the patients that may
participate?
Subject Selection
Subject inclusion criteria
– conditions which must be met to enroll patients
Subject exclusion criteria
– conditions which preclude enrollment even if
inclusion criteria are met
– may interfere with measurements
– unsafe to enroll in study
Example
Subject Criteria
Inclusion Criteria
– Adults (>18 years)
– Smoke >1 pack
cigarettes/day
– Smoker for >1 year
Exclusion Criteria
– History of cancer
– Other co-morbid
conditions
Subject Selection
Include a wide range of patients if possible
(gender, race, socioeconomic groups) to be
representative of larger population
(generalizability, external validity)
Random selection from population
How Many Subjects Do I Need ?
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Power Analysis
Make your best guess about results
– Base estimate on published studies
The smaller the effect you think you will
observe, the more subjects necessary
What is the Time Frame?
Estimate how long it will take to:
– Enroll patients
– Collect data
– Enter data into spreadsheet
– Analyze data
– Interpret data & prepare for presentation
Seasonal variation in outcome
Allow plenty of time!
Who will conduct the study?
Yourself
Fellow residents
Attending physicians
Nurses
In-service
Incentive
Role of Investigators
Clarify the role & duties of each
investigator & assistant
Do this early on to avoid later conflicts
Role of Investigators
Authorship (from Uniform Requirements)
– substantial contributions to:
• conception & design,
• or acquisition of data,
• or analysis & interpretation of data
– drafting the article or revising it critically for
important intellectual content
– final approval of the version to be published
Will the patients want to
participate?
Clear explanation of study
Personal benefit
– Likely benefit outweighs risk to patient
Contribution to advancement of medical
knowledge
Reimbursement for time & expenses
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Hawthorne Effect
Studies conducted at Western Electric Plant, Illinois in 1927 by Elton Mayo
Workers assembling telephone relays
What increases worker productivity?
Working conditions manipulated in separate room
– Breaks
– Hours
– Lighting
– Type of work
So what happened?
Productivity increased
Employees felt special when part of study
Underscores need for control group
Methodological Issues
Strive to eliminate bias in study
– Subject selection bias
– Procedural bias
Must insure patient anonymity & confidentiality of records
Determine what information you are collecting & how you will collect it
– Demographics
– Risk factors, outcomes
– Don’t collect everything!
Let’s Poll the Audience !
What type of analysis should be
conducted to determine the number of
subjects needed for a research study?
Pow
er analy
sis
Analys
is of v
ariance
Estim
ation o
f the a
moun...
t-te
st
0% 0%0%0%
1. Power analysis
2. Analysis of variance
3. Estimation of the amount
of time you have before
your project is due
4. t-test
Types of Research Design
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Research Design Terms
Prospective – Retrospective
Controlled – Uncontrolled
Randomized – Nonrandomized
Blinded - Unblinded
Considerations
Hypothesis should dictate your design
But often the time remaining in your
training program does!
– Prospective vs. retrospective
Should choose the best design your
hypothesis & time will allow
Study Goal
Descriptive
Explanatory
Descriptive Designs
Case report
– Presentation of one case
Case series
– Group of related consecutive cases
Population
– Describe characteristics of a large population
Program or course evaluation
– Evaluate success of program or course
Explanatory Designs
Observational
Experimental
Observational Designs
Case-control
Cohort
Cross-sectional
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Case-Control Design
Retrospective data collection
Starting point is the adverse event
Group according to presence or absence of outcome or disease
Investigator attempts to find risk factors that predict disease status
Example
Smoking & Cancer
Researcher goes through charts of
patients who were diagnosed with
breast cancer (cases) over a 10 year
period
Examines smoking history
Compares to patients in system without
breast cancer (controls)
Example: Green Tea
Question: What is the association between green
tea and breast cancer risk in Asian Americans?
Interviewed Chinese, Japanese, and Filipino women
in Los Angeles
– 501 with breast cancer (cases)
– 594 with NO breast cancer (controls)
Asked to recall dietary habits, including intake of
black and green tea
Found that green tea drinkers had a decreased risk
of breast cancer
Wu AH, Yu MC, Tseng CC, Hankin J, Pike MC. Green tea and risk of breast cancer in Asian Americans. Int J
Cancer. 2003 Sep 10;106(4):574-9.
Resident Example: Bacteremia
Objective: To evaluate the efficacy of tigecycline in
patients with Gram-negative bacteremia
Chart review:
– 29 cases received tigecycline for bacteremia
– 87 controls matched for bacterial isolate
Cases were more likely to have been admitted from
an ECF, have a higher Charlson Weighted Index of
Comorbidity score, and a longer time to effective
antibiotic administration
Those receiving tigecycline had a poorer immediate
outcome and higher mortality
Assessment of Case-Control
Designs
Advantages
– good initial exploratory study
– can explore multiple risk factors
simultaneously
– efficient, relatively inexpensive & quick
– data may be available through record
review
– well suited for rare diseases
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Assessment of Case-Control
Designs
Disadvantages
– questionable data quality
– recall bias (if interview patients)
– sampling bias
– can study only one outcome at a time
– cannot determine prevalence or incidence
– cannot demonstrate cause & effect
Cohort Design
Follow patients over period of time
Grouping according to risk factor
Later, compare incidence of the
outcome between those with risk factor
& those without
Example
Smoking & Cancer
Researcher chooses a group of people
including smokers & nonsmokers
Records smoking data
10 years later, determines incidence of
cancer
Example: Breakfast Cereal
What is the association between breakfast cereals
and risk of heart failure?
Asked 721,000 male physicians to report their
consumption of whole grain cereal at baseline, 18
wks., 24, 48, 72, 96, and 120 mos.
Surveyed every year for new medical diagnoses
Found that eating whole grain cereal was associated
with a decreased risk of heart failure
Djoussé L, Gaziano JM. Breakfast cereals and risk of heart failure in the physicians' health study I. Arch Intern
Med. 2007 Oct 22;167(19):2080-5.
Assessment of Cohort Designs
Advantages
– powerful study design to define incidence
– recall bias not a problem
– good choice when randomization not possible
Disadvantages
– expensive in time, money & number of subjects
– confounding variables
– attrition
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Cross-sectional Design
Data are collected at one point in time
(“snapshot” of study population)
Includes record reviews & patient
surveys
Risk factors & outcome are determined
simultaneously
Example
Smoking & Cancer
Researcher distributes a survey to a randomly selected group of patients in a primary care clinic’s waiting room
Asks questions about smoking status & history of cancer
Determines if there is a relationship between smoking & cancer
Resident Example: Burnout
Objective was to assess burnout among resident
physicians in the Detroit area
Sent the Maslach Burnout Inventory to 71 family
medicine residents in 8 programs
Found that 51% reported burnout
– Attributed to heavy workload
– Affected patient care
Assessment of Cross-sectional
Designs
Advantages
– relatively inexpensive & quick
– data may be available through existing records
Disadvantages
– cannot determine cause & effect
– ineffective for rare conditions
– can determine prevalence, not incidence
– may not be generalizable
Experimental Designs
Clinical Trial
Educational Intervention
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Clinical Trial Design
Patients receive an intervention or treatment
(independent variable)
Effect (outcome, dependent variable) is
measured & attributed to intervention or
treatment
Can be single site or multi-center
Can be between-subjects or within-subjects
Parallel & Crossover Designs
Treatment A
Treatment B
Treatment C
Treatment A
Treatment B
Baseline Baseline
Hallmarks of the Randomized
Controlled Trial (RCT)
Gold standard of study design
Random assignment to experimental or
control group
Excluding the intervention, the two
groups are treated equally
Placebo controlled
Hallmarks of the Randomized
Controlled Trial (RCT)- Blinding
Single: only patient is blind to group assignment
Double: both patient & researcher are blind to group assignment
Double dummy:
– used when two drugs cannot be made to look alike (brown pill, red capsule)
– a placebo is made to look like each of the active drugs
– each patient then takes both one of the active drugs & the placebo form of the other drug
Example
Smoking & Cancer
Researcher randomly assigns
nonsmokers to smoking or nonsmoking
groups
10 years later, determines which group
had greater incidence of cancer
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Resident Example: Jelly Bean Study
Question: Can 18 Brach’s jelly beans substitute for
glucola in gestational diabetes testing?
Enrolled 157 pregnant women
– Took 1 hour glucola test (50 gms. glucola)
– Repeated 1 hour test (jelly beans) 2 wks. later
– Took 3 hour glucose tolerance test 2 wks. later
Found that the jelly beans could substitute for the
glucola and were better tolerated
– Similar sensitivity, specificity, positive/negative predictive
values compared to gold standard test
Assessment of Clinical Trial
Designs
Advantages
– can manipulate dose & treatments
– groups have comparable confounding
variables
– knowledge of temporality is assured
– fewest methodological biases
– permits causal inferences
Assessment of Clinical Trial
Designs
Disadvantages
– ethical issues may limit ability to randomly
assign groups
– risk of sample selection bias
– attrition
– noncompliance
– expensive
Educational Intervention Design
Researcher tests effect of an educational
intervention on the outcome of interest
– Lecture
– Handout
– Video
Pre- post-test design (within subjects)
Education group compared to control group
(between subjects)
Example
Smoking & Cancer
Researcher gives a pre-test to a group of
smokers which measures their knowledge of
the evidence linking smoking to cancer
The smokers watch a video & receive
educational materials
Researcher gives a post-test to see if
knowledge has improved
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Assessment of Educational
Intervention Designs
Advantages– relatively inexpensive & quick
– can manipulate intervention
– groups have comparable confounding variables
– knowledge of temporality is assured
Disadvantages– risk of sample selection bias
– attrition
– noncompliance
– may not be generalizable to “real world”
– an increase in knowledge may not mean behavior change
Let’s Poll the Audience !
Experimental research
designs include:
Cro
ss-se
ctio
na...
Clin
ical t
rial..
.
Case
reports
Educa
tional in
...
0% 0%0%0%
1. Cross-sectional studies
2. Clinical trials
3. Case reports
4. Educational interventions
Which type of research seeks
to make a cause-and-effect
statement?
Experim
ental
Desc
riptiv
e
Corre
latio
nal
All
of the a
bo...
0% 0%0%0%
1. Experimental
2. Descriptive
3. Correlational
4. All of the above
A journalist reports a study that
shows smoking to be correlated with
poor grades in college. What can
you conclude?
Smokin
g tends .
..
Smokin
g and po...
Incr
eased sm
ok...
Students
with
...
0% 0%0%0%
1. Smoking tends to cause
poor grades in many
students.
2. Smoking and poor grades
tend to be found together.
3. Increased smoking will
cause your grades to fall.
4. Students with poor grades
are anxious, causing them
to smoke more.
What is the best research
design if you want to study
patients with a rare disease?
Longit
udinal s
...
Pro
spect
ive st
...
Experim
ental s
...
Cro
ss-se
ctio
na...
Retro
spect
ive ..
.
0% 0% 0%0%0%
1. Longitudinal study
2. Prospective study
3. Experimental study
4. Cross-sectional study
5. Retrospective study
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So I have designed my study,
where do I go from here?!
Post- Research Design
Write proposal
Design data tools
Committees
Write a Research Proposal
Include:
– Introduction
– Research question / hypothesis
– Methods
– Plan for statistical analysis
• Don’t forget power analysis & predicted results
– Budget
– References
Design Data Tools
Develop data collection tools– Pilot test
– Keep ease of data entry in mind
Use standardized tools
– Examples: pain scale, depression scale
– Reliability
– Validity
Sample QuestionnaireDate of Birth ___/___/___ Age today: _____
Height: ___ft ___in Weight: ____lbs
Marital status: Single Married Gender: Male Female
Race: Highest Level of Education:
African-American Some High School
Am. Indian/Alaskan Native High School Graduate/GED
Asian Some College
White College Graduate
Hawaiian/Pacific Islander Postgraduate
Other____________
Household Income: Occupation:
<$10,000 Student
$10,000-$24,999 Work outside the home
$25,000-$49,999 Unemployed currently
>$50,000
Committees
GME Research Committee
– funding
– assessment of importance of study
– assessment of appropriate study design
Institutional Review Board (IRB)
– protects the rights & welfare of human subjects
– all studies need review
– need approval before data collection begins
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Remember...
Allow plenty of time- Plan early
Find a mentor & support staff
Have fun with your project
Communicate your results
– “Correlation does not imply causation”
– Change in policy or clinical practice
– Direction for further studies
Strive for publication
Purpose of Resident Research
The goal is to understand & appreciate the research process– Fellowship
– Clinician
Patients are informed “research consumers”
– Internet
– Media reports of research
Continuing medical education
– Life-long habit of reading & evaluating research studies