16-19 Interventional Study Designs Flashcards
List the other terms used for interventional studies.
- Clinical trial
- Clinical study
- Experimental study
- Human study
- Investigational study
What is the key difference between observational and interventional studies?
• Investigator selects “interventions” and allocates study subjects to forced-intervention groups
• More “rigorous” in ability to show cause-and-effect
o Can demonstrate causation
List and describe the phases of interventional studies.
PRE-CLINICAL (prior to human investigation)
o Bench and animal research
PHASE 1 (new drug/device/procedure)
o Small N (~20-80), healthy volunteers tor used for the first time in humans to assess safety/toxicity, dosing and even pharmacokinetics in population of interest (diseased)
- Short duration (e.g., usually just a few days or weeks or a couple of months)
PHASE 2 (new drug/device/procedure, indication or study population)
o Larger N, (~100-300), commonly utilize patients with condition of interest, used to expand on purpose of Phase 1 study (safety) but also to begin assessing efficacy in diseased population
Short-to-medium duration (a few to several months)
Likely to have a narrower inclusion criteria
PHASE 3 (new drug/device/procedure, indication or study population)
o Even larger N (~1000-3000), used in patients with condition of interest to continue determination of safety, with primary purpose to assess efficacy
Longer duration (many month to a year (or a few years))
Superiority vs. Noninferiority vs. Equivalency formats
PHASE 4 (post-marketing)
o Long-term effects (risks and benefits) in a large population of diseased patients (expanded use population (age, ethnic))
Registries, Survey’s (e.g., FDA’s MedWatch/FAERS/VAERS programs)
What are the advantages and disadvantages of interventional studies?
Advantages
• Cause precedes effect (shows Causation)
• Only design used by FDA for “approval” process (on-label)
Disadvantages
• Cost
• Complexity/Time (development/approval/conductance)
• Ethical considerations (Risk vs. Benefit evaluation)
• Generalizability (a.k.a.; External Validity)
o Is study population similar to general population and will methodology and findings be applicable to them?
Compare pragmatic versus explanatory studies.
• Explanatory has presubscribed playbook that you must abide by. It is not flexible for real clinical practice. They are so restrictive in who can participate. Typically seen in phases 2 and 3.
• Pragmatic studies are still in the family of interventional studies. Clinically applicable. Less restrictive on inclusion criteria.
o Never use placebo - common sense medicine
o Let in regular people - multiple comorbidities, on multiple meds
o Allow physicians to use own clinical judgement to treat patients
o Lose researcher’s control how physician prescribes medication
o Lose lack of other confounding variables - introduced again
• Many researchers will have an explanatory interventional study from phase 1-3, but may (don’t have to) switch to a pragmatic study in phase 4 for more long term benefits/harm, but also for an increase in external validity for medical application purposes - can more patients use it?; incorporate multiple conditions;
What are the 4 types of design?
Simple
Fractional
Cross-over
Parallel
Define a simple study.
o Divides (randomizes) subjects exclusively into > 2 groups A single randomization process; no subsequent randomized divisions o Commonly used to test a single hypothesis (question) at a time
Define a fractional study.
o Divides subjects into > 2 groups and then further additionally sub-divides (randomizes) each of the groups in to > 2 sub-groups
Numerical representation of number of groups and number of divisions (e.g., 2x2 or 3x3x2)
o Used to test multiple hypotheses at the same time (increases sample size requirement)
Improves efficiency for answering clinical questions
Increases study population sample size (due to increase group #)
Increases complexity (which may be a barrier to recruitment)
Increases risk of drop outs (due to complexity), and
May restrict generalizability of results
Define a parallel study.
o Groups simultaneously and exclusively managed
o No switching of intervention groups after initial randomization
All simple and factorial designs are also parallel
Define a cross-over study.
o Groups serve as their own control by crossing over from one intervention to another during the study
Allows for small total “N” (sample size)
• Each patient contributes additional data
o Between and within group comparison possible
What are the disadvantages of a cross-over study?
Only suitable for long-term conditions which are not curable or which treatment provides short-terms relief
Duration of study for each subject is longer
Carry-over effects during cross-over (wash-out required; which prolongs study duration)
Treatment-by-Period interaction
• Differences in effects of treatments during different time periods
Smaller N requirement only applicable if within-subjects variation less than between-subjects variation
Complexity in data analysis
What is a run in or lead in phase?
o All study subjects blindly given one or more placebos for initial therapy (defined time period) to determine a new base-line of disease (standardization)
Can assess study protocol compliance
Can “wash-out” existing medication
• Reduces at least 1 possible common exclusion criteria
Can determine amount of placebo-effect (new-baseline)
What are the different types of outcomes?
Primary Secondary/Tertiary Composite Patient-Oriented Endpoints Surrogate markers
What a composite outcome?
Combines multiple endpoints into a single outcome
Could be considered the Primary outcome, and if so, then secondary outcomes may be the individual outcome elements from Composite
What is a primary outcome?
Most important, key outcome(s)
Main research question (hypothesis) used for developing/conducting study
What is a secondary or tertiary outcome?
o Lesser importance yet still valuable
o Possible for future hypothesis generation
List some examples of Patient-Oriented Endpoints.
o Death
o Stroke or myocardial infarction
o Hospitalization
o Preventing need for dialysis
List some examples of surrogate markers.
o Blood pressure (for risk of stroke) o Cholesterol (for risk of heart attack) o Change in SCr (for worsening renal function)
What are the types of Sample Selection & Group Allocation?
Non-Random
Random
Masking
What is non-random group allocation?
Subjects don’t have an equal probability of being selected or assigned to each intervention group (e.g., Convenience Sampling/Non-probabilistic allocation)
• Patients attending morning clinic assigned to group 1, patients attending afternoon clinic assigned to group 2
• Patients attending clinic on odd days of the month assigned to group 1, patients attending clinic on even days assigned to group 2
• The first 100 patients admitted to the hospital
What is random group allocation?
Subjects do have an equal probability of being assigned to each intervention group
• Random-number generating programs
Why do researchers use randomization?
• Purpose to make groups as equal as possible; based on known and unknown important factors (confounders)
o Attempts to reduce systematic differences (bias) between groups which could impact results/outcomes
o Equality of groups not guaranteed
What are the types of randomization?
Simple
Blocked
Stratitfied
What is simple randomization?
Equal probability for allocation within one of the study groups
What is blocked randomization?
Ensures balance within each intervention group
When researchers want to assure that all groups are equal in size
What is stratified randomization?
Ensures balance with known confounding variable
Examples: gender, age, disease severity/duration, comorbidities
Can also pre-select levels to be balance within each interfering factor (confounder)
List and define the types of masking.
Single
Double
Open Label
Placebo
Explain the placebo effect.
o Improvement in condition; by power of suggestion and due to the care being provided
Explain the Hawthorne effect.
o Desire of study subject to “please” investigators by reporting positive results (improvement), regardless of treatment allocation
List your options in managing drop outs/lost to follow ups and explain their differences.
Include them
Last known assessment (observation) used for (carried forward) all subsequent, yet missed assessments (LOCF)
Convert all subsequent yet missed assessment for a subject to a null-effect (no benefit)
Ignore them
(include only compliant or completing subjects
Treat them as treated
Ignores group assignments
Allows subjects to switch groups and be evaluated in group they moved to, end in, or stay in most
List some ways of assessing adherence (compliance).
o Drug levels (multiple useful sites)
o Pill counts at each visit
o Bottle counter-tops
List some ways to improve compliance.
o Frequent follow-up visits/communications
o Treatment alarms/notifications
o Medication blister packs or dosage containers