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Title: Approach to Outcome Measure Development or Selection: A Regulatory Perspective


1
Approach to Outcome Measure Development or
Selection A Regulatory Perspective
  • Initiative on Methods, Measurement, and Pain
    Assessment in Clinical Trials (IMMPACT)
  • April 17-18, 2014
  • Ashley F. Slagle, MS, PhD
  • Study Endpoints and Labeling Development (SEALD)
  • Office of New Drugs (OND)
  • Center for Drug Evaluation and Research (CDER)

2
Disclaimer
  • The views expressed in this presentation are
    those of the speaker, and do not necessarily
    represent an official FDA position.

3
Treatment Benefit
  • Treatment benefit is demonstrated by evidence
    that the treatment has a positive impact on a
    concept of interest
  • How long a patient lives
  • How a patient feels or functions in daily life
  • Treatment benefit can be demonstrated as either
  • A comparative advantage in how patients survive,
    feel or function
  • A comparative reduction in treatment-related
    toxicity

4
Purpose of Outcome Assessment
  • To determine whether or not a drug has been
    demonstrated to provide treatment benefit
  • A conclusion of treatment benefit is described in
    labeling in terms of the concept of interest
    (COI), the thing measured by the outcome
    assessment

5
Types of Outcome Assessments
  • Survival
  • Biomarkers
  • A physiologic, pathologic, or anatomic
    characteristic that is objectively measured and
    evaluated as an indicator of some normal or
    abnormal biologic function, process or response
    to a therapeutic intervention 
  • Clinical outcome assessments (COAs)
  • Performance outcomes (PerfOs)
  • Clinician-reported outcomes (ClinROs)
  • Observer-reported outcomes (ObsROs)
  • Patient-reported outcomes (PROs)

6
Choice of COA Type
  • Determine the most appropriate reporter for the
    COI in the COU
  • If symptom intensity is the concept of interest
    in a patient population that can respond
    themselves, a PRO is most appropriate.
  • If clinical judgment is required to interpret an
    observation, a ClinRO is chosen.
  • If the COI can only be adequately captured by
    observation in daily life (outside of a
    healthcare setting), and the patient cannot
    report for him or herself, then an ObsRO is
    chosen.
  • When it would be useful to observe an actual
    demonstration of defined tasks demonstrating
    functional performance in the clinical setting, a
    PerfO may be appropriate.

7
Evidence of Treatment Benefit
  • Direct evidence of treatment benefit is derived
    from studies with endpoints that measure
    survival, or how patients feel and function in
    daily life.
  • Indirect evidence of treatment benefit is derived
    from studies with endpoints that measure other
    things that are related to how patients survive,
    feel or function

8
Direct Verses Indirect Evidence of Treatment
Benefit
Survival Pain Breathlessness
Blood Pressure PSA
6MWT

Indirect Evidence
Direct Evidence
Evidence Continuum
9
Treatment Benefit What To Measure?All are
important, but interpretation of trial results
depends on knowing how treatment impacts the core
disease-defining concepts first.
Proximal disease Impact concepts
Distal disease Impact concepts
Disease impact on general life concepts
Disease-defining concepts
General psychologicalfunctioning
Productivity
Core signs,symptomsor decrements in functioning
Related functioning
Additional functioning
Health status
General physical functioning
Health-related quality of life
Additional S/Ss
Related S/Ss
Social functioning
Satisfaction withhealth
10
Adequate and well-controlled efficacy (AWC)
studies
  • Studies that provide
  • Evidence to support drug marketing authorization
  • Substantial evidence of effectiveness
  • Required by law to support a conclusion that a
    drug is effective
  • See 21 CFR 314.126
  • Deemed AWC based on multiple features of a
    clinical study design including
  • Nature of the primary endpoint
  • Well-defined and reliable
  • Rigor of control of the Type I error rate
  • Prospectively planned analyses designed with rigor

11
When is a COA adequate for use in adequate and
well-controlled studies?
  • Regulatory standard measures are well-defined
    and reliable
  • Empiric evidence demonstrates that the score
    quantifies the concept of interest in the
    targeted context of use
  • What does this mean?
  • This means measuring the right thing (concept of
    interest), in the right way in a defined
    population (targeted context of use), and the
    score that quantifies that thing does so
    accurately and reliably, so that the effects seen
    in the outcome assessment can be interpreted as a
    clear treatment benefit.

12
Good Measurement Principles
  • Defines good measurement principles to consider
    for well-defined and reliable (21 CFR 314.126)
    PRO measures intended to provide evidence of
    treatment benefit
  • All COAs can benefit from the good measurement
    principles described within the guidance

http//www.fda.gov/downloads/Drugs/GuidanceComplia
nceRegulatoryInformation/Guidances/UCM205269.pdf
12
13
Well-defined and Reliable
  • The tool adequately measures the concept of
    interest in the context or clinical setting of
    interest
  • To assess this, we review the tools measurement
    properties
  • Content validity
  • Construct validity
  • Reliability
  • Ability to detect change
  • Information to support interpretation of change

13
14
Review of ClinRO, ObsRO, PRO, and PerfO Measures
Any Differences?
  • SAME
  • Instrument
  • Targeted Claims
  • Endpoint Model
  • Conceptual Framework
  • Content Validity
  • Other Measurement Properties
  • Interpretation of Scores
  • Language Translation and Cultural Adaptation
  • Data Collection Method
  • Modifications
  • Clinical Trial Design and Data Analysis Issues
  • Key References
  • DIFFERENT

Nothing?

15
Clinical Outcome Assessment Considerations
  • Not all patient reported, clinical-reported,
    observer-reported, or performance outcome
    assessments are appropriate Clinical Outcome
    Assessments
  • May be useful for other purposes
  • Diagnostic
  • Prognostic
  • Trial eligibility and trial enrichment
  • Epidemiologic or population studies
  • Clinical practice decision-making
  • Measures used successfully for these other
    purposes will not necessarily be appropriate
    outcomes assessments (i.e., they may not be able
    to reliably detect treatment benefit in clinical
    trials or support labeling claims in a
    non-misleading way)

16
Seeking Advice from FDA
  • Discuss plans early!
  • 2 pathways
  • In the context of an Investigational New Drug
    (IND) program
  • Drug Development Tool (DDT) Qualification

17
DDT Guidance (Final January 2014)
  • Describe a process NOT evidentiary standards
  • Qualification process described for Biomarkers,
    Animal Models, and Clinical Outcome Assessments
    (COA)

http//www.fda.gov/downloads/Drugs/GuidanceComplic
anceRegulatoryInformationi/Guidances/UCM230597.pdf
17
18
CDER Qualification of Clinical Outcome
Assessments
  • DDT Qualification Guidance COA qualification is
    a conclusion that within the stated context of
    use (COU), the results of measurement can be
    relied upon to represent a specific concept (COI)
    with a specific interpretation when used in drug
    development and regulatory decision-making
  • Plain language Within a specific clinical
    context, were measuring the right thing, in the
    right way, and we can rely upon the results of
    the qualified assessment across clinical trials
    within that clinical context
  • CDER qualification is currently reserved for
    those COAs that are ultimately intended to
    support primary or secondary endpoints in
    clinical trials
  • Qualified instruments shall be made available
    publically available

19
Roadmap to Patient-Focused Outcome Measurement in
Clinical Trials
  • Intended to illustrate how one might embark upon
    a sound, orderly, instrument selection or
    development pathway, beginning with the clinical
    context in which the instrument is intended to be
    used.

20

Roadmap to PATIENT-FOCUSED OUTCOME MEASUREMENT in
Clinical Trials
  • Identify the meaningful health aspect that is
    the intended benefit to patients in their daily
    lives
  • Survives (e.g., length of survival)
  • Feels (e.g., symptom severity)
  • Functions (e.g., walking ability)

Natural history of the disease or condition
Onset/Duration/Resolution Diagnosis
Pathophysiology Range of manifestations
  • Search for existing clinical outcome assessment
    measuring the concept(s) of interest in the
    context of use
  • Measure exists
  • Measure exists but needs to be modified
  • No measure exists
  • Measure under development
  • B. Identify the measureable concept of interest
    that represents the meaningful health aspect,
    which can be
  • Equivalent to the meaningful health aspect (e.g.,
    patients self-reported ambulatory activities in
    daily life) OR
  • Distinct from, but related to the meaningful
    health aspect (e.g., 6-minute walk test)

Patient subpopulations By severity By
onset By comorbidities By phenotype
B. Begin clinical outcome assessment
development Document content validity
(qualitative or mixed methods research)
Evaluate cross-sectional measurement properties
(reliability and construct validity) Create
user manual Consider submitting to FDA for
qualification for use in exploratory studies
Health care environment Treatment
alternatives Clinical care standards Health
care system perspective
  • C. Define context of use for clinical trials,
    e.g.
  • Disease/Condition entry criteria
  • Clinical trial design
  • Endpoint positioning

C. Complete clinical outcome assessment
development Document longitudinal measurement
properties (construct validity, ability to
detect change) Document guidelines for
interpretation of treatment benefit and
relationship to claim Update user manual
Submit to FDA for qualification as
effectiveness endpoint to support claims
Patient/caregiver perspectives Definition of
treatment benefit Benefit-risk tradeoffs
Impact of disease
  • D. Consider appropriate clinical outcome
    assessment type(s)
  • Patient-Reported Outcome (PRO)
  • Observer-Reported Outcome (ObsRO)
  • Clinician-Reported Outcome (ClinRO)
  • Performance Outcome (motor, sensory, cognition)

U.S. Food and Drug Administration Center for Drug
Evaluation and Research Office of New
Drugs http//www.fda.gov/Drugs
Updated on March 14, 2014
21
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22
Understanding the Disease or Condition
23
Understanding the Disease or Condition
24
Understanding the Disease or Condition
25
Understanding the Disease or Condition
26
FDAs Patient Focused Drug Development Initiative
  • Systematically gather patients perspectives on
    their condition and available therapies to treat
    their condition
  • 20 public meetings over the course of PDUFA V,
    each focused on a specific disease area
  • http//www.fda.gov/ForIndustry/UserFees/Prescripti
    onDrugUserFee/ucm368342.htm

27
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28
Conceptualizing Treatment Benefit
29
Conceptualizing Treatment Benefit
30
Defining Context of Use
  • Each of the following variables can impact the
    adequacy of a COA to support a claim
  • Disease definition including, if appropriate
  • Disease subtype
  • Disease severity
  • History of previous treatment
  • Patient subpopulations
  • Patient demographics
  • Reporting ability
  • Culture and language
  • Clinical trial design and objectives
  • Endpoint positioning
  • Endpoint definitions
  • Analysis plan
  • Methods for interpretation of study results
  • Targeted labeling claim
  • Clinical practice and study setting
  • Inpatient vs. outpatient
  • Geographic location
  • Clinical practice variation

30
31
Endpoint Definition and Positioning
  • Create study objectives based on the COI in the
    COU
  • Position the outcomes as trial endpoints that
    will be interpretable in comparison with a
    control group
  • Define endpoints using COA scores
  • Plan analysis
  • Measurement of change over time in individual
    patients that are combined for a means of
    assessing a group score
  • Analysis of means
  • Analysis of proportions
  • Hierarchy for testing multiple assessments

32
Conceptualizing Treatment Benefit
33
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34
Selecting/Developing the Measure
35
Selecting/Developing the Measure
36
Selecting/Developing the Measure
37
COA Wheel and Spokes
  • This diagram identifies the key components of the
    documentation submitted to CDER to support COA
    qualification
  • The Wheel and Spokes diagram also represents the
    general iterative process used in developing a
    COA for qualification.

38
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39
Spoke I
40
Spoke II
41
What Is Content Validity?
  • Content validity is the extent to which the
    content of an instrument represents important
    aspects of a given concept for an intended use
    and for a defined target population
  • Establishing content for a new instrument may
    involve both qualitative and quantitative
    research methods. Qualitative data are essential
    for establishing content validity of a COA
  • Input from the target population is essential


42
Conceptual Framework
  • An explicit description or diagram of the
    relationships between the questionnaire or items
    in an assessment and the concepts measured
  • Describes how the individual items contribute to
    the total score that will be analyzed and
    ultimately described in labeling

43
Conceptual Framework
Score of Domain A
Item 1 Item 2 Item 3 Item 4 Item 5 Item 6
Domain Concept A
Total Score
Overall Concept
Score of Domain B
Domain Concept B
44
Spoke III
45
Qualification for Use in Exploratory Studies / as
Exploratory Endpoints
  • At this point in time, submitters may consider
    the option of submitting evidence for COA
    qualification. Qualification at this point in
    development will be for use in exploratory
    analyses for purposes of testing other
    measurement properties.

46
Spoke IV
47
COA Qualification for Use as Primary or Secondary
Endpoint
  • When all measurement properties are tested,
    evidence will be reviewed to support COA
    qualification for use in adequate and
    well-controlled studies as a primary or secondary
    endpoint measure of effectiveness.

48
Spoke V
49
Conclusion
  • The roadmap to a well-defined and reliable
    outcome assessment begins with a full
    understanding of the disease or condition to be
    tested
  • An assessment cannot be chosen or developed
    without a well-defined context of use,
    understanding of the meaningful health aspect,
    and targeted concept of interest to be assessed
  • The science of measurement continues to evolve
    with new tools and methods for efficient
    development and modification of assessments
  • There is no one size fits all approach to measure
    development, we all must endeavor to be flexible,
    while applying good measurement principles as
    appropriate for each unique situation
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