Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment Request; Disclosures of Descriptive Presentations in Professional Oncology Prescription Drug Promotion, 56845-56852 [2018-24785]
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[FR Doc. 2018–24803 Filed 11–13–18; 8:45 am]
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56845
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Food and Drug Administration
[Docket No. FDA–2017–N–1779]
Agency Information Collection
Activities; Submission for Office of
Management and Budget Review;
Comment Request; Disclosures of
Descriptive Presentations in
Professional Oncology Prescription
Drug Promotion
AGENCY:
Food and Drug Administration,
HHS.
ACTION:
Notice.
The Food and Drug
Administration (FDA or Agency) is
announcing that a proposed collection
of information has been submitted to the
Office of Management and Budget
(OMB) for review and clearance under
the Paperwork Reduction Act of 1995.
DATES: Fax written comments on the
collection of information by December
14, 2018.
ADDRESSES: To ensure that comments on
the information collection are received,
OMB recommends that written
comments be faxed to the Office of
Information and Regulatory Affairs,
OMB, Attn: FDA Desk Officer, Fax: 202–
395–7285, or emailed to oira_
submission@omb.eop.gov. All
comments should be identified with the
OMB control number 0910–NEW and
title ‘‘Disclosures of Descriptive
Presentations in Professional Oncology
Prescription Drug Promotion.’’ Also
include the FDA docket number found
in brackets in the heading of this
document.
FOR FURTHER INFORMATION CONTACT: Ila
S. Mizrachi, Office of Operations, Food
and Drug Administration, Three White
Flint North, 10A–12M, 11601
Landsdown St., North Bethesda, MD
20852, 301–796–7726, PRAStaff@
fda.hhs.gov.
SUPPLEMENTARY INFORMATION: In
compliance with 44 U.S.C. 3507, FDA
has submitted the following proposed
collection of information to OMB for
review and clearance.
SUMMARY:
Disclosures of Descriptive Presentations
in Professional Oncology Prescription
Drug Promotion
OMB Control Number—0910–NEW
I. Background
Section 1701(a)(4) of the Public
Health Service Act (42 U.S.C.
300u(a)(4)) authorizes FDA to conduct
research relating to health information.
Section 1003(d)(2)(C) of the Federal
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Food, Drug, and Cosmetic Act (FD&C
Act) (21 U.S.C. 393(d)(2)(C)) authorizes
FDA to conduct research relating to
drugs and other FDA regulated products
in carrying out the provisions of the
FD&C Act.
Under the FD&C Act and
implementing regulations, promotional
labeling and advertising about
prescription drugs are generally
required to be truthful, non-misleading,
and to reveal facts material to the
presentations made about the product
being promoted (see sections 502(a) and
(n), and 201(n) of the FD&C Act (21
U.S.C. 352(a) and (n), and 321(n)); see
also 21 CFR 202.1). As a part of the
ongoing evaluation of FDA’s regulations
in this area, FDA is proposing to study
the impact of disclosures as they relate
to presentations of preliminary and/or
descriptive scientific and clinical data
in promotional labeling and advertising
for oncology products. The use of
disclosures is one method of
communicating information to
healthcare professionals about scientific
and clinical data, the limitations of that
data, and practical utility of that
information for use in treatment. These
disclosures may influence prescriber
comprehension and decision making
and may affect how and what treatment
they prescribe for their patients.
Pharmaceutical companies market
directly to physicians through means
that include publishing advertisements
in medical journals, exhibit booths at
physician meetings or events, sending
unsolicited promotional materials to
doctors’ offices, and presentations
(‘‘detailing’’) by pharmaceutical
representatives (Ref. 1). Research
suggests that detail aids sometimes
contain carefully extracted data from
clinical studies that, taken out of
context, can exaggerate the benefits of a
drug (Ref. 2) or contribute to physicians
prescribing the drug for an
inappropriate patient population.
Promotional labeling and advertising
for cancer drugs deserve specific
attention. Oncology drugs represented
26 percent of the 649 compounds under
clinical trial investigation from 2006 to
2011 (Ref. 3). The past decade has seen
a dramatic rise in the number of
oncology drugs brought to market. In the
past 18 months, over 22 percent of new
drug approvals at FDA were new cancer
drugs. In that time period, FDA
approved 16 cancer drugs as new
molecular entities or new therapeutic
biologics out of a total of 72 (this does
not include approvals of benign
hematology products or biological
license application approvals of blood
reagents, or assays and anti-globulin
products used in testing kits) (Refs. 4
and 5). Although overall survival
remains the gold standard for
demonstrating clinical benefit of a
cancer drug, several additional
endpoints including progression free
survival, disease-free or recurrence-free
survival, or durable response rate
(including hematologic response
endpoints) are accepted for either
regular or accelerated approval
depending on the magnitude of effect,
safety profile, and disease context (Ref.
6). In addition to the endpoints upon
which FDA approval of these products
may be based, pharmaceutical
companies typically assess many other
endpoints to further explore the effects
of their products. Some trials are
designed to allow for formal statistical
analyses of these additional endpoints;
however, in many cases these endpoints
are strictly exploratory and support only
the reporting of descriptive results. For
clinicians who are not specifically
trained in clinical trial design,
interpreting these endpoints may be
challenging. Pharmaceutical companies
invest heavily in the development and
distribution of promotional materials to
make oncologists aware of favorable
clinical trial results.
When communicating scientific and
clinical data, a specific statement that
modifies or qualifies a claim (referred to
for the purposes of this document as a
disclosure) could be used to convey the
limitations of the data and practical
utility of the information for treatment.
Much of the prior research on
disclosures in this topic area has been
limited to the dietary supplement arena
with consumers (Refs. 7 to 10).
Disclosures in professional pieces could
influence prescriber comprehension as
well as subsequent decision making;
however, no published data exist
regarding how prescribers use and
understand scientific claims in
conjunction with qualifying disclosures.
The proposed study seeks to address
the following research questions:
1. Do disclosures mitigate potentially
misleading presentations of preliminary
and/or descriptive data in oncology
drug product promotion?
2. Does the language (technical, nontechnical) of the disclosure influence
the effectiveness of the disclosure?
3. Does the presence of a general
statement about the clinical utility of
the data in addition to a specific
disclosure influence processing of
claims and disclosures?
4. Do primary care physicians (PCPs)
and oncologists differ in their
processing of claims and disclosures
about preliminary and/or descriptive
data?
5. Which disclosures do physicians
prefer?
To address these questions, FDA has
designed a study that will be conducted
in three independent phases, each phase
examining a data display in a
promotional piece for a unique oncology
or hematology product. Independent
variables will include: (1) Specific
disclosure (technical, non-technical,
none), (2) general statement (present,
absent), and (3) specialty (PCPs,
oncologists). Each phase will have the
following design:
Specific disclosure
Sample
General statement
Oncologists ..................................................
PCPs ...........................................................
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Non-technical
•
•
•
•
•
•
•
•
Present ........................................................
Absent .........................................................
Present ........................................................
Absent .........................................................
Specific disclosures will include
material information specifically related
to the particular data display in
question. As such, each specific
disclosure may include clinical or
statistical information related to the trial
design, the statistical analysis plan of
VerDate Sep<11>2014
Technical
the trial, or any other material statistical
or clinical information necessary for
evaluation or interpretation of the data.
The team developing the disclosures
includes social science analysts,
pharmacists, oncological medical
officers, statisticians, and an oncology
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No disclosure
Control.
Control.
nurse. An example of the general
statement is ‘‘This presentation includes
exploratory information of uncertain
clinical utility and should be
interpreted cautiously when used to
make treatment decisions.’’
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Outcome (dependent) variables will
focus on the assessment of the data
display as a whole as well as attention
to the disclosure, if present.
Specifically, we will examine
recognition of the clinical endpoint in
the data display, comprehension of the
data display, perceptions of the strength
of the data, and the perceived credibility
of the promotional piece. We will also
look at attention to the specific
disclosure and the general statement,
prescriber decisions, and prescriber
preferences. Preferences will be
determined by a secondary task at the
end of the questionnaire that shows
each participant all disclosure options
and asks them to choose their preferred
version.
Oncologists and PCPs will be
recruited to participate via the internet.
We plan to conduct one pretest with 90
participants and one study with 2,115
participants, both of which are expected
to take approximately 20 minutes.
Voluntary participants will view
professionally developed promotional
pieces that mimic currently available
promotion and answer questions.
In the Federal Register of Monday,
June 19, 2017 (82 FR 27845), FDA
published a 60-day notice requesting
public comment on the proposed
collection of information (see above).
Comments received along with our
responses to the comments are provided
below. Comments that are not PRArelevant or do not relate to the proposed
study are not included. For brevity,
some public comments are paraphrased
and therefore may not reflect the exact
language used by the commenter. We
assure commenters that the entirety of
their comments was considered even if
not fully captured by our paraphrasing.
The following acronyms are used here:
FRN = Federal Register Notice; DTC =
direct-to-consumer; HCP = healthcare
professional; PCP = primary care
physicians; FDA = Food and Drug
Administration; OPDP = FDA’s Office of
Prescription Drug Promotion.
The first public comment responder
(regulations.gov tracking number 1k1–
8xz7–mwcd) included eight individual
comments, to which we have
responded.
Comment 1: ‘‘It is unclear why FDA
has chosen to conduct a study focused
on oncology therapeutics and those
medical specialists who prescribe such
products.’’ [verbatim] All prescription
drug products are treated the same
according to regulations; therapeutic
intent and prescriber type do not invoke
alternate regulatory approaches.
Response: As we described in the 60day Federal Register notice,
promotional activities for oncology
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drugs are frequent and pervasive.
Promotional labeling and advertising for
cancer drugs deserve specific attention.
Oncology drugs represented 26 percent
of the 649 compounds under clinicaltrial investigation from 2006 to 2011
(Ref. 3). The past decade has seen a
dramatic rise in the number of oncology
drugs brought to market. In the past 18
months, over 22 percent of new drug
approvals at FDA were new cancer
drugs. In that time period, FDA
approved 16 cancer drugs as new
molecular entities or new therapeutic
biologics out of a total of 72 (this does
not include approvals of benign
hematology products or biological
license application approvals of blood
reagents, or assays and anti-globulin
products used in testing kits) (Refs. 4
and 5). Although overall survival
remains the gold standard for
demonstrating clinical benefit of a
cancer drug, several additional
endpoints including progression free
survival, disease-free or recurrence-free
survival, or response rate (including
hematologic response endpoints) are
accepted for either regular or
accelerated approval depending on the
magnitude of effect, safety profile, and
disease context (Ref. 6). In addition to
the endpoints upon which FDA
approval may be based, pharmaceutical
companies typically assess many other
endpoints to further explore the effects
of their products. Some trials are
designed to allow for formal statistical
analyses of these additional endpoints;
however, in many cases these endpoints
are strictly exploratory and support only
the reporting of descriptive results. For
clinicians who are not specifically
trained in clinical trial design,
interpreting these endpoints can be
challenging. Pharmaceutical companies
invest heavily in the development and
distribution of promotional materials to
educate oncologists about favorable
clinical trial results.
As another public comment responder
(regulations.gov tracking number 1k1–
8y3p–o6qb) notes, ‘‘We agree with the
FDA’s assessment that dedicated
research is necessary regarding oncology
drug promotion, particularly given that
a significant proportion of the drug
development pipeline is comprised of
oncology products . . .’’
Comment 2: FDA should use a more
targeted approach, including a monadic
design with 100 oncologists split into
two experimental conditions.
Response: To clarify the study design,
we are testing two variations of
disclosure (specific disclosure:
Technical, non-technical), two
variations of general statement (general
statement: Present or absent), plus a
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56847
control (control: No specific disclosure).
Participants will be healthcare
professionals who are members of one
of two medical populations and will be
randomly assigned to one condition.
Because we are examining the effects of
multiple variables and their
interactions, the necessary sample sizes
will be larger than those suggested in
this comment based on power analyses.
We have, however, changed the study
design based on multiple comments and
will now examine only oncologists and
primary care physicians.
Comment 3: The length of the survey
looks long—at 17 pages, it appears that
it will take approximately 30–40
minutes to complete.
Response: We have tested the survey
in-house with individuals unfamiliar
with the research project, and it appears
that this survey will take approximately
15 minutes to complete.
Comment 4: Instead of using recall as
a measure, respondents should be
allowed to have access to the materials
while answering questions to better
approximate their actual experiences.
Response: It is an open question as to
whether having the materials in front of
them better approximates actual HCP
experiences. In past discussions with
HCPs, some have reported that they do
refer back to materials that sales
representatives leave, and others report
that they do not receive leave-behind
materials or do not refer to them again.
In any case, we have a mixture of recall
and comprehension questions in our
questionnaire. For the recall questions,
respondents will not be able to access
the materials. They will, however, be
able to review the materials while
answering the comprehension
questions.
Comment 5: Why is FDA examining
non-oncologists at all? Why are you
screening out oncology for specialists in
question SPECIALTY2?
Response: HCPs of all types are
exposed to prescription drug promotion.
Depending on location (e.g., rural areas)
and type of clinical setting, some nononcologists may have a need to consider
oncologic prescription drugs to treat
their patients. We agree that oncologists
are the most relevant population to
study in this research. However, we also
want to know whether specific
education and experience influence the
processing of claims, data, and
disclosures. Upon further review, we
agree that nurse practitioners and
physician assistants without oncology
experience are not a necessary group to
investigate to answer our particular
research questions. We intend to use
PCPs as a control group to understand
whether specific advanced training
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influences the understanding of
preliminary and/or descriptive oncology
data. Some PCPs may have experience
with oncology prescriptions,
particularly in rural areas. We will not
eliminate PCPs without oncology
experience, but we will measure
oncology prescribing experience and
use this variable as a covariate in our
studies.
Comment 6: FDA should screen for
the prescribing of oncologic products.
Response: Although we do not intend
to screen out physicians without
oncology prescribing experience, we
will measure this variable and use this
information to determine whether it
plays a role in the responses of PCPs.
Comment 7: From this point
(ENDPOINT) responses may be based on
the ability of respondents to recall
information vs. the absence/presence of
disclosures. If FDA continues with this
design, the Agency should be prepared
to control for this in the study design.
Response: Because this is an
experimental design with random
assignment to condition, any fatigue
with questions that may affect the recall
of information should fall out evenly
across conditions. Therefore, any
differences would be the result of our
manipulations, in this case, the
presence and form of disclosures. We
have given thought to the ordering of
the questions so that the most important
questions are asked in the beginning of
the survey rather than toward the end.
Comment 8: The answer to this
question (CAUTIOUS) may be
influenced more by personal and
subjective opinion vs. the content of the
disclosure.
Response: Because of the
experimental design with random
assignment to condition, personal and
subjective opinions should be evenly
and randomly spread across
experimental conditions. However,
upon further review, we have
determined that this question has
limited utility and we will delete it.
The second public comment
responder (regulations.gov tracking
number 1k1–8y3p–o6qb) included one
individual comment. They reported that
they support the study specifically and
OPDP’s overall research efforts
generally, and they agree that oncology
deserves special attention. We thank
this commenter for taking the time to
provide this comment to us.
The third public comment responder
(regulations.gov tracking number 1k1–
8y5u–5vp0) included eight individual
comments, to which we have
responded.
Comments 1 and 2: The commenter
supports FDA social science research
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18:29 Nov 13, 2018
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and this specific project, as well as the
Disclosures study (Docket No. FDA–
2017–N–0558). ‘‘FDA’s collective
research indicates a considered,
objective updating of the FDA’s
advertising regulations, including the
use of disclosures to prevent misleading
claims in advertisements for oncology
products, is timely . . . . Enabling
disclaimers would be one way to enable
innovators to advertise new oncology
therapeutics for their approved uses in
ways which would be non-misleading.’’
Response: Thank you for your
support.
Comment 3: The commenter suggests
making sure that primary care
physicians and advanced practitioners
have experience in the oncology field—
otherwise, it seems useless to include
less knowledgeable respondents whose
answers are more speculative. Overall,
they question whether advanced
practitioners are appropriate for this
study at all.
Response: We have removed
advanced practitioners from the design.
We will measure the oncology
prescribing experience of the PCPs in
our sample, but we will not eliminate
those who do not have specific oncology
training. One of our research questions
is whether specific training and
experience in oncology influences the
understanding of preliminary oncology
data. To do that, we need to include a
group of practitioners who may not have
specific training and experience in
oncology, but who are licensed
practitioners permitted by law to
prescribe oncology drugs, and who, in
some cases, may do so.
Comment 4: If the only data being
presented for BENEFICIAL, EVIDENCE1
and EVIDENCE2 are the endpoints for
the disclosure without presenting
overall survival or more clinically
validated data, we suggest removing
these questions.
Response: The pieces include other
clinically validated data as would be
typical in an existing piece for an
oncology indication.
Comment 5: Remove CONFUSING2
because it asks physicians to speculate.
Response: As this item is a perception
measure, as opposed to an accuracy
measure, it is reasonable to consider
some level of speculation. Moreover, in
cognitive testing, HCPs responded
without difficulty.
Comment 6: For SCRIPT4, add an ‘‘I
don’t know’’ option instead of
instructing respondents to ‘‘make your
best guess.’’
Response: This item was cognitively
tested and participants expressed no
difficulty answering it.
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Comment 7: Those who respond ‘‘not
at all familiar’’ to FAMILIAR should
skip BTKNOW1, BTKNOW2, and
ACCEL.
Response: We agree with this
comment. Those who respond ‘‘not at
all familiar’’ to FAMILIAR will skip the
three items mentioned above.
Comment 8: BTDV1 and BTDV2
present incomplete data and therefore it
is unclear how this will be a useful
question. The commenter suggests
either adding an ‘‘I need more
information’’ option or removing the
question.
Response: These items present
incomplete data but we have provided
enough data that HCPs should be able
to make a choice. HCPs in cognitive
testing exhibited no difficulty with the
question. There is no existing data on
perceptions of FDA’s ‘‘breakthrough’’
designation and this item will provide
at least rudimentary information. Please
note that each respondent will see only
one of the items. These items are
carefully crafted to avoid order effects
and alphabetical effects.
The fourth public commenter
(regulations.gov tracking number 1k1–
8y5u–koc0) included 15 individual
comments, to which we have
responded.
Comment 1 (summarized): The
commenter is concerned with the
Agency’s recent approaches to studies
in this area. FDA has proposed to
undertake projects in a variety of
disparate topics without articulating a
clear, overarching research agenda or
adequate rationales on how the
proposed research related to the goal of
further protecting public health. Within
the last year, the Agency has increased
such efforts at an exponential pace. At
times, FDA proposes new studies
seemingly without fully appreciating its
own previous research published on the
Office of Prescription Drug Promotion
(OPDP) website. Proposed studies are
often unnecessary in light of existing
data. The commenter suggests that the
Agency publish a comprehensive list of
its prescription drug advertising and
promotion studies from the past five
years and articulate a clear vision for its
research priorities for the near future.
Going forward, FDA should use such
priorities to explain the necessity and
utility of its proposed research and
should provide a reasonable rationale
for the proposed research.
Response: OPDP’s mission is to
protect the public health by helping to
ensure that prescription drug
information is truthful, balanced, and
accurately communicated, so that
patients and healthcare providers can
make informed decisions about
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treatment options. OPDP’s research
program supports this mission by
providing scientific evidence to help
ensure that our policies related to
prescription drug promotion will have
the greatest benefit to public health.
Toward that end, we have consistently
conducted research to evaluate the
aspects of prescription drug promotion
that we believe are most central to our
mission, focusing in particular on three
main topic areas: Advertising features,
including content and format; target
populations; and research quality.
Through the evaluation of advertising
features we assess how elements such as
graphics, format, and disease and
product characteristics impact the
communication and understanding of
prescription drug risks and benefits;
focusing on target populations allows us
to evaluate how understanding of
prescription drug risks and benefits may
vary as a function of audience; and our
focus on research quality aims at
maximizing the quality of research data
through analytical methodology
development and investigation of
sampling and response issues. Because
we recognize the strength of data and
the confidence in the robust nature of
the findings is improved through the
results of multiple converging studies,
we continue to develop evidence to
inform our thinking. We evaluate the
results from our studies within the
broader context of research and findings
from other sources, and this larger body
of knowledge collectively informs our
policies as well as our research program.
Our research is documented on our
homepage, which can be found at:
https://www.fda.gov/aboutfda/
centersoffices/officeofmedical
productsandtobacco/cder/
ucm090276.htm. The website includes
links to the latest Federal Register
notices and peer-reviewed publications
produced by our office. The website
maintains information on studies we
have conducted, dating back to a survey
of DTC attitudes and behaviors
conducted in 1999.
Comment 2: FDA should provide
more detail about the study to
stakeholders. ‘‘It is not clear from this
description whether the study will yield
useful information to evaluate whether
disclosures provide appropriate
contextual information in certain
communications, whether such
disclosures can be made more effective,
and where the disclosures are necessary
to ensure communications are truthful
and non-misleading.’’
Response: We have described the
purpose of the study, the design, the
population of interest, and have
provided the questionnaire to numerous
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individuals upon request. These
materials have proven sufficient for
others to comment publicly, and for
academic experts to peer-review the
study successfully. Our full stimuli are
under development during the PRA
process. We do not make draft stimuli
public during this time because of
concerns that this may contaminate our
participant pool and compromise the
research.
Comment 3: The Agency should wait
until it has completed its broader study
on disclosures more generally. This
study is duplicative of other studies.
Response: As we discussed in the 60day Federal Register notice, oncological
products deserve specific attention as
they account for nearly a quarter of new
drug approvals and can involve the
assessment of complicated endpoints.
Moreover, they have specific disclosures
that are unique to their products and
deserve particular study. The other
disclosures study (Docket No. FDA–
2017–N–0558) will provide important
information about a variety of
disclosures in different medical
conditions. One research study cannot
answer all questions or study all aspects
of an issue. These two studies will be
complementary but not redundant.
Please also refer to our response to
comment 1 from the first commenter
above.
Comment 4: Given that FDA grants
approval based on certain preliminary
and descriptive data, and that various
limitations as to the underlying data
must already be communicated to
prescribers, there appears to be limited
utility in researching disclosures
regarding such data.
Response: We disagree that FDA
grants approval on preliminary or
descriptive data. The evidentiary
standard is substantial evidence. While
we recognize that no single
development program can answer all
questions about a particular drug in all
populations, it is not accurate to
describe the evidence supporting
approval as descriptive or preliminary.
What is potentially unique about
oncology products is that many are
approved under accelerated approval, in
which the substantial evidence of
benefit is on a surrogate endpoint that
is reasonably likely to predict a clinical
outcome. There remains some residual
uncertainty regarding whether the effect
on a surrogate endpoint will directly
correlate with a clinical benefit;
however, there is a requirement that
confirmatory evidence of clinical benefit
be obtained after approval. This residual
uncertainty about the relationship of the
surrogate endpoint to the clinical
benefit is communicated to prescribers
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56849
through the FDA-required labeling (e.g.,
inclusion of a limitation of use in the
Indications and Usage section of the
FDA-required labeling). In addition,
reliance on a surrogate endpoint under
accelerated approval is only done for
serious diseases when the evidence
indicates that the product provides a
meaningful therapeutic benefit to
patients over existing treatments (21
CFR 314.500).
However, this study does not focus on
endpoints that formed the basis for
approval. This study focuses on
promotional displays of preliminary
and/or descriptive data. It has not been
established whether and how current
disclosure-type additions to promotion
are adequately communicating the
limitations around this type of data, and
that is the purpose of the current study.
Given the importance of these
limitations, it is crucial to make sure
that promotional materials directed at to
prescribers convey limitations
appropriately. Past research has shown
that simply including a statement
somewhere in a promotional piece does
not grant it automatic usefulness (Refs.
7 to 10).
Comment 5: FDA notes that,
‘‘[a]lthough overall survival remains the
gold standard for demonstrating clinical
benefit of a drug, several additional
endpoints are accepted as surrogates
. . . [including] disease-free survival,
objective response rate, complete
response rate, progression-free survival,
and time to progression.’’ The Agency
further states that ‘‘[f]or clinicians who
are not specifically trained in clinical
trial design, interpreting these
endpoints may be challenging.’’ FDA
does not cite any sources for this claim,
and there is no basis for thinking that
clinicians do not have a thorough
understanding of the data limitations
described in presentations of
preliminary or descriptive scientific and
clinical data. This is especially true of
oncologists.
Response: This statement was not
intended to be a claim, but rather a
statement of concern. Studies report that
physicians lack sufficient critical
knowledge and skills to evaluate
evidence based medicine (EBM) and
may be influenced by the way study
results are presented (Refs. 11 to 13).
FDA recently conducted a systematic
review of research related to prescribers’
training and critical appraisal skills
related to clinical trials (Ref. 14). The
study found that extant physician
knowledge and skills regarding certain
statistical concepts and trial designs
were in the middle of the possible
outcome score range, at levels below
those considered mastery, even after
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interventions designed to increase
knowledge and skills. Evidence
suggested that clinical credentials affect
understanding and use of clinical data.
Physicians with formal training in
biostatistics, epidemiology, clinical
research, or EBM demonstrated higher
levels of knowledge and appraisal skills
than those with usual medical
education and training.
Comment 6: The specific disclosures
outlined by FDA include ‘‘clinical or
statistical information related to the trial
design, the statistical analysis plan of
the trial, or any other material statistical
or clinical information necessary for
evaluation or interpretation of the data.’’
The breadth of the proposed specific
disclosures appears burdensome,
unnecessary, and overwhelming for the
purposes of the proposed survey.
Response: These concepts were
provided as examples of the types of
information that may be necessary for
the accurate evaluation or interpretation
of the data. This statement was not
meant to imply that all of these concepts
would be included in disclosures used
in this study.
Comment 7: PCPs and non-oncology
mid-level practitioners will provide
much less utility in their survey
responses regarding such disclosures.
Response: We have changed the
design. See previous comments and
responses.
Comment 8: The Agency proposes to
conduct its survey via electronic media.
FDA should consider testing nonelectronic media, including printed
sales aids, as these forms are often
reviewed by the proposed study
subjects.
Response: To clarify, the stimuli
presented will consist of mock print
materials in .pdf format, administered
via the internet. Conducting the study in
person would require a greater
expenditure of resources without
appreciable benefits.
Comment 9: The Agency should
consider using a consistent sliding scale
format for all survey responses. Just
within pages 7–9 of the survey, FDA
proposes numerous different schemes
for survey responses: (1) ‘‘Not at all
beneficial—Extremely beneficial;’’ (2)
‘‘Completely agree—Completely
disagree;’’ (3) ‘‘No evidence—Strong (or
conclusive) evidence;’’ (4) ‘‘Not at all
complex—Extremely complex;’’ (5) ‘‘Not
at all confusing—Extremely confusing;’’
and (6) additional responses in which
subjects are asked to agree with certain
statements. The variety in response
options is confusing in format and could
potentially introduce error. To the
extent possible, FDA should make the
response format consistent throughout
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the survey. Further, the Agency should
ensure the sliding scale format
consistently provides an odd number of
responses to permit a ‘‘neutral’’
response. Certain questions (e.g., the
IMPROVE question on page 7) provide
six choices, not permitting a neutral
response.
Response: Although one scale
throughout would be easier for
respondents, it will not necessarily
provide better data. When a series of
adjacent questions have the same
response options, respondents may use
a response mechanism known as
anchoring and adjusting when reporting
(Ref. 15). Respondents use their
response to the initial survey question
on a topic as the ‘‘cognitive anchor,’’
and then adjust up or down based on
subsequent questions (Ref. 16).
Anchoring and adjusting is more likely
to occur for questions when respondents
have some level of uncertainty in their
answer (Ref. 17), which would be
expected in this study. Epley and
Gilovich (Ref. 17) found that when
respondents use an anchoring and
adjusting strategy, they often adjust
insufficiently. Respondents start with
the response they used for the first item
and then search for the next value that
is ‘‘close enough.’’ This can result in
responses to adjacent items being more
similar than responses to the same items
if they used an item-specific scale (Not
at all beneficial to Extremely beneficial;
Not at all complex to Extremely
complex). Using the same scale across
all survey questions would artificially
increase the correlations between all
questions making it more difficult to
identify differences based on the stimuli
or respondent characteristics.
Furthermore, use of item-specific scales
compared with agree-disagree scales
reduces primacy effects (tendency of
respondents to select options at the
beginning of the list) (Ref. 18), and
increases reliability and validity (Ref.
19). Careful consideration was made to
use agree-disagree scales only when
item-specific scales would not be
appropriate (e.g., presenting patient
vignettes) or unnecessarily complex
(e.g., asking about ‘‘complex
terminology, statistical terms, or
jargon,’’ inquiring about ‘‘strong’’
evidence).
In terms of neutral points, given the
focus of the questions, we believe that
offering a neutral response option is not
necessary to measure opinions and
attitudes accurately. Consequently, our
objective is to force a selection and have
participants make at least a weak
commitment in either a positive or
negative direction. Of concern is that
offering a neutral midpoint could
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potentially encourage ‘‘satisficing’’—
cuing participants to choose a neutral
response because it is offered (Ref. 20).
Additionally, providing a midpoint
leads to the loss of information
regarding the direction in which people
lean (Ref. 21). Research has found that
neither format (either with or without a
neutral point) is necessarily better or
produces more valid or reliable results
(Ref. 22). Instead, it should be left to the
researcher to determine the goals of the
study. During cognitive testing, a
majority of participants were satisfied
with the response options and all
participants felt comfortable choosing a
response in the absence of a midpoint.
Use of a midpoint is an issue we have
examined in previous studies and we
determined that we achieve valid and
reliable responses without a midpoint.
To increase consistency with measures
used in previous studies, and in support
of the arguments presented above, we
are opting to exclude a midpoint.
Finally, if a participant does not feel
that they can choose a response because
of a lack of a neutral option, they will
be able to skip the question.
Comment 10: In the BENEFICIAL
question on page 7 of the survey, it is
unclear what relevance the subject’s
perception of clinical benefit of a drug
has in studying FDA’s proposed
research purpose.
Response: For prescription drug
products, advertisers must ensure that
both the benefits and limitations are
appropriately conveyed. If limitations
are not appropriately conveyed, viewers
may have an inflated view of the
benefits of the product, relative to its
risks. This question investigates this
issue.
Comment 11: In a study setting,
subjects may be prone to read and pay
attention to more or all of the
information presented. Subjects also are
more aware of the importance of their
responses. The Agency should address
what efforts it will take to avoid
response bias by study subjects.
Response: We initially had this
concern many years ago when OPDP
began conducting research. However,
since that time, we have seen no
evidence of this bias. In fact, we often
deal with the opposite problem—
ensuring that respondents spend a
minimum amount of time looking at
mock materials. Moreover, cognitive
testing participants have told us that
they would not spend extra time on
materials if they were answering
questions without an interviewer in the
room. Individuals, especially HCPs, are
busy, and we believe our experiments
do not overestimate the amount of time
participants spend on actual materials.
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Federal Register / Vol. 83, No. 220 / Wednesday, November 14, 2018 / Notices
Comment 12: Although the draft
survey did not contain Informed
Consent text, the Agency should ensure
that this text does not state or imply that
the survey is being conducted on behalf
of the U.S. Food and Drug
Administration. Such a statement could
potentially influence subjects’ responses
to study questions. Instead, this
information might be provided at the
conclusion of the study.
Response: We will ensure that all
materials reference the U.S. Department
of Health and Human Services rather
than FDA.
Comment 13: The CAUTIOUS
question on page 8 should be rephrased
or omitted. Subjects may be biased to
respond that they interpret all data with
caution, regardless of the underlying
scientific evidence presented in study
stimuli.
Response: We agree with this
comment and will delete this item.
Comment 14: The DECISIONS
question on page 8 should be omitted.
How survey participants ‘‘feel about the
data presented’’ will be highly
dependent on their external experience
in making prescribing decisions. This
question thus may lead to highly
variable results.
Response: Because this is an
experimental design with random
assignment to conditions, external
experiences in making prescribing
decisions should be randomly scattered
across experimental conditions. Thus,
we will be able to infer causation to our
manipulations of disclosures if we find
any differences across experimental
conditions. We believe the presence and
form of the disclosure may influence
this dependent variable and believe it
56851
will reveal important information about
how HCPs process the data.
Comment 15: The PREFERENCE and
PREFERWHY questions on page 16
should be moved to the beginning of the
survey or omitted altogether. Subjects’
responses regarding their preference in
sales aid disclosure statements will be
heavily influenced by earlier portions of
the survey.
Response: We have given careful
thought to the ordering of the questions
in the questionnaire. Because preference
is of secondary interest to us, we have
included it after our primary outcome
variables, so that it does not influence
them. We recognize that prior questions
may influence these measures and will
interpret them with that caveat in mind.
FDA estimates the burden of this
collection of information as follows:
TABLE 1—ESTIMATED ANNUAL REPORTING BURDEN 1
Number of
responses
per
respondent
Number of
respondents
Activity
Total annual
responses
Pretest Study Screener Completes .........................
Main Study Screener Completes .............................
Pretest Study ...........................................................
Main Study ...............................................................
150
3,525
90
2,115
1
1
1
1
150
3,525
90
2,115
Total ..................................................................
........................
........................
........................
Average burden per
response 2
0.03
0.03
0.33
0.33
Total hours
(2 minutes) ........
(2 minutes) ........
(20 minutes) ......
(20 minutes) ......
5
106
30
698
....................................
839
1 No
capital costs or operating and maintenance costs are associated with collection of this information.
2 Burden estimates of less than 1 hour are expressed as a fraction of an hour in decimal format.
II. References
The following references marked with
an asterisk (*) are on display at the
Dockets Management Staff (HFA–305),
Food and Drug Administration, 5630
Fishers Lane, Rm. 1061, Rockville, MD
20852, and are available for viewing by
interested persons between 9 a.m. and 4
p.m., Monday through Friday; they also
are available electronically at https://
www.regulations.gov. References
without asterisks are not on public
display at https://www.regulations.gov
because they have copyright restriction.
Some may be available at the website
address, if listed. References without
asterisks are available for viewing only
at the Dockets Management Staff. FDA
has verified the website addresses, as of
the date this document publishes in the
Federal Register, but websites are
subject to change over time.
*1. Johar, K., ‘‘An Insider’s Perspective:
Defense of the Pharmaceutical Industry’s
Marketing Practices,’’ Albany Law
Review, 76:299–334, 2012–2013.
*2. Wick, C., M. Egger, S. Trelle, et al., ‘‘The
Characteristics of Unsolicited Clinical
Oncology Literature Provided by
Pharmaceutical Industry,’’ Annals of
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Oncology, 18(9):1580–1582, 2007.
* 3. Fisher, J.A., M.D. Cottingham, and C.A.
Kalbaugh, ‘‘Peering Into the
Pharmaceutical ‘Pipeline’:
Investigational Drugs, Clinical Trials,
and Industry Priorities,’’ Social Science
& Medicine, 131:322–330, 2015.
4. Centerwatch, ‘‘FDA Approved Drugs for
Oncology,’’ https://www.centerwatch.
com/drug-information/fda-approveddrugs/therapeutic-area/12/oncology
(accessed on October 5, 2018).
5. https://www.fda.gov/BiologicsBlood
Vaccines/DevelopmentApprovalProcess/
BiologicalApprovalsbyYear/
ucm596371.htm.
* 6. Beaver, J.A., L.J. Howie, L. Pelosof, et al.,
‘‘A 25-Year Experience of U.S. Food and
Drug Administration Accelerated
Approval of Malignant Hematology and
Oncology Drugs and Biologics: A
Review,’’ JAMA Oncology, 4:849–856,
2018.
* 7. Dodge, T. and A. Kaufman, ‘‘What Makes
Consumers Think Dietary Supplements
Are Safe and Effective? The Role of
Disclaimers and FDA Approval,’’ Health
Psychology, 26:513–517, 2007.
* 8. Dodge, T., D. Litt, and A. Kaufman,
‘‘Influence of the Dietary Supplement
Health and Education Act on Consumer
Beliefs About the Safety and
Effectiveness of Dietary Supplements,’’
Journal of Health Communication,
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16(3):230–244, 2011.
* 9. Mason, M.J., D.L. Scammon, and X. Fang,
‘‘The Impact of Warnings, Disclaimers,
and Product Experience on Consumers’
Perceptions of Dietary Supplements,’’
The Journal of Consumer Affairs,
41(1):74–99, 2007.
* 10. France, K.R. and P.F. Bone, ‘‘Policy
Makers’ Paradigms and Evidence From
Consumer Interpretations of Dietary
Supplement Labels,’’ The Journal of
Consumer Affairs, 39(1):27–51, 2005.
* 11. Ghosh, A.K. and K. Ghosh, ‘‘Translating
Evidence-Based Information into
Effective Risk Communication: Current
Challenges and Opportunities,’’ The
Journal of Laboratory and Clinical
Medicine, 145(4):171–180, 2005.
* 12. Harewood, G.C. and L.M. Hendrick,
‘‘Prospective, Controlled Assessment of
the Impact of Formal Evidence-Based
Medicine Teaching Workshop on Ability
to Appraise the Medical Literature,’’
Irish Journal of Medical Science,
179(1):91–94, 2010.
* 13. Fritsche, L., T. Greenhalgh, Y. FalckYtter, et al., ‘‘Do Short Courses in
Evidence Based Medicine Improve
Knowledge and Skills? Validation of
Berlin Questionnaire and Before and
After Study of Courses in Evidence
Based Medicine,’’ British Medical
Journal, 325(7376):1338–1341, 2002.
* 14. Kahwati, L., D. Carmondy, N. Berkman,
E:\FR\FM\14NON1.SGM
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Federal Register / Vol. 83, No. 220 / Wednesday, November 14, 2018 / Notices
et al., ‘‘Prescribers’ Knowledge and Skills
for Interpreting Research Results: A
Systematic Review,’’ Journal of
Continuing Education in the Health
Professions, 37(2):129–136, 2017.
* 15. Tversky, A. and D. Kahneman,’’
Judgment Under Uncertainty: Heuristics
and Biases,’’ Science, 185(4157):1124–
1131, 1974.
* 16. Gehlbach, H. and S. Barge, ‘‘Anchoring
and Adjusting in Questionnaire
Responses,’’ Basic and Applied Social
Psychology, 34(5):417–433, 2012.
* 17. Epley, N. and T. Gilovich, ‘‘The
Anchoring-and-Adjustment Heuristic:
Why the Adjustments are Insufficient,’’
Psychological Science, 17(4):311–318,
2006.
* 18. Ho¨hne, J.K. and D. Krebs, ‘‘Scale
Direction Effects in Agree/Disagree and
Item-Specific Questions: A Comparison
of Question Formats,’’ International
Journal of Social Research Methodology,
21(1):91–103, 2017.
* 19. Saris, W.E., M. Revilla, J.A. Krosnick, et
al., ‘‘Comparing Questions with Agree/
Disagree Response Options to Questions
with Item-Specific Response Options’’
Survey Research Methods, 4:61–79,
2010.
* 20. Krosnick, J.A. and S. Presser, ‘‘Question
and Questionnaire Design,’’ In:
Handbook of Survey Research (pp. 263–
314). Bingley, United Kingdom: Emerald
Group Publishing Limited, 2010.
21. Converse, J.M. and S. Presser, Survey
Questions: Handcrafting the
Standardized Questionnaire, (No. 63).
Thousand Oaks, CA: SAGE Publications,
1986.
22. DeVellis, R.F., Scale Development:
Theory and Applications, (Vol. 26).
Thousand Oaks, CA: SAGE Publications,
2016.
Dated: November 7, 2018.
Leslie Kux,
Associate Commissioner for Policy.
[FR Doc. 2018–24785 Filed 11–13–18; 8:45 am]
BILLING CODE 4164–01–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Food and Drug Administration
[Docket No. FDA–2018–N–4206]
Agency Information Collection
Activities; Proposed Collection;
Comment Request; Medical Device
User Fee Small Business Qualification
and Certification
AGENCY:
Food and Drug Administration,
HHS.
ACTION:
Notice.
The Food and Drug
Administration (FDA or Agency) is
announcing an opportunity for public
comment on the proposed collection of
certain information by the Agency.
Under the Paperwork Reduction Act of
SUMMARY:
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1995 (PRA), Federal Agencies are
required to publish notice in the
Federal Register concerning each
proposed collection of information,
including each proposed extension of an
existing collection of information, and
to allow 60 days for public comment in
response to the notice. This notice
solicits comments on Form FDA 3602
and Form FDA 3602A, which will allow
domestic and foreign applicants to
certify that they qualify as a small
business and pay certain medical device
user fees at reduced rates.
DATES: Submit either electronic or
written comments on the collection of
information by January 14, 2019.
ADDRESSES: You may submit comments
as follows. Please note that late,
untimely filed comments will not be
considered. Electronic comments must
be submitted on or before January 14,
2019. The https://www.regulations.gov
electronic filing system will accept
comments until 11:59 p.m. Eastern Time
at the end of January 14, 2019.
Comments received by mail/hand
delivery/courier (for written/paper
submissions) will be considered timely
if they are postmarked or the delivery
service acceptance receipt is on or
before that date.
Electronic Submissions
Submit electronic comments in the
following way:
• Federal eRulemaking Portal:
https://www.regulations.gov. Follow the
instructions for submitting comments.
Comments submitted electronically,
including attachments, to https://
www.regulations.gov will be posted to
the docket unchanged. Because your
comment will be made public, you are
solely responsible for ensuring that your
comment does not include any
confidential information that you or a
third party may not wish to be posted,
such as medical information, your or
anyone else’s Social Security number, or
confidential business information, such
as a manufacturing process. Please note
that if you include your name, contact
information, or other information that
identifies you in the body of your
comments, that information will be
posted on https://www.regulations.gov.
• If you want to submit a comment
with confidential information that you
do not wish to be made available to the
public, submit the comment as a
written/paper submission and in the
manner detailed (see ‘‘Written/Paper
Submissions’’ and ‘‘Instructions’’).
Written/Paper Submissions
Submit written/paper submissions as
follows:
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• Mail/Hand delivery/Courier (for
written/paper submissions): Dockets
Management Staff (HFA–305), Food and
Drug Administration, 5630 Fishers
Lane, Rm. 1061, Rockville, MD 20852.
• For written/paper comments
submitted to the Dockets Management
Staff, FDA will post your comment, as
well as any attachments, except for
information submitted, marked and
identified, as confidential, if submitted
as detailed in ‘‘Instructions.’’
Instructions: All submissions received
must include the Docket No. FDA–
2018–N–4206 for ‘‘Agency Information
Collection Activities; Proposed
Collection; Comment Request; Medical
Device User Fee Small Business
Qualification and Certification.’’
Received comments, those filed in a
timely manner (see ADDRESSES), will be
placed in the docket and, except for
those submitted as ‘‘Confidential
Submissions,’’ publicly viewable at
https://www.regulations.gov or at the
Dockets Management Staff between 9
a.m. and 4 p.m., Monday through
Friday.
• Confidential Submissions—To
submit a comment with confidential
information that you do not wish to be
made publicly available, submit your
comments only as a written/paper
submission. You should submit two
copies total. One copy will include the
information you claim to be confidential
with a heading or cover note that states
‘‘THIS DOCUMENT CONTAINS
CONFIDENTIAL INFORMATION.’’ The
Agency will review this copy, including
the claimed confidential information, in
its consideration of comments. The
second copy, which will have the
claimed confidential information
redacted/blacked out, will be available
for public viewing and posted on
https://www.regulations.gov. Submit
both copies to the Dockets Management
Staff. If you do not wish your name and
contact information to be made publicly
available, you can provide this
information on the cover sheet and not
in the body of your comments and you
must identify this information as
‘‘confidential.’’ Any information marked
as ‘‘confidential’’ will not be disclosed
except in accordance with 21 CFR 10.20
and other applicable disclosure law. For
more information about FDA’s posting
of comments to public dockets, see 80
FR 56469, September 18, 2015, or access
the information at: https://www.gpo.gov/
fdsys/pkg/FR-2015-09-18/pdf/201523389.pdf.
Docket: For access to the docket to
read background documents or the
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received, go to https://
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E:\FR\FM\14NON1.SGM
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Agencies
[Federal Register Volume 83, Number 220 (Wednesday, November 14, 2018)]
[Notices]
[Pages 56845-56852]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2018-24785]
=======================================================================
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Food and Drug Administration
[Docket No. FDA-2017-N-1779]
Agency Information Collection Activities; Submission for Office
of Management and Budget Review; Comment Request; Disclosures of
Descriptive Presentations in Professional Oncology Prescription Drug
Promotion
AGENCY: Food and Drug Administration, HHS.
ACTION: Notice.
-----------------------------------------------------------------------
SUMMARY: The Food and Drug Administration (FDA or Agency) is announcing
that a proposed collection of information has been submitted to the
Office of Management and Budget (OMB) for review and clearance under
the Paperwork Reduction Act of 1995.
DATES: Fax written comments on the collection of information by
December 14, 2018.
ADDRESSES: To ensure that comments on the information collection are
received, OMB recommends that written comments be faxed to the Office
of Information and Regulatory Affairs, OMB, Attn: FDA Desk Officer,
Fax: 202-395-7285, or emailed to [email protected]. All
comments should be identified with the OMB control number 0910-NEW and
title ``Disclosures of Descriptive Presentations in Professional
Oncology Prescription Drug Promotion.'' Also include the FDA docket
number found in brackets in the heading of this document.
FOR FURTHER INFORMATION CONTACT: Ila S. Mizrachi, Office of Operations,
Food and Drug Administration, Three White Flint North, 10A-12M, 11601
Landsdown St., North Bethesda, MD 20852, 301-796-7726,
[email protected].
SUPPLEMENTARY INFORMATION: In compliance with 44 U.S.C. 3507, FDA has
submitted the following proposed collection of information to OMB for
review and clearance.
Disclosures of Descriptive Presentations in Professional Oncology
Prescription Drug Promotion
OMB Control Number--0910-NEW
I. Background
Section 1701(a)(4) of the Public Health Service Act (42 U.S.C.
300u(a)(4)) authorizes FDA to conduct research relating to health
information. Section 1003(d)(2)(C) of the Federal
[[Page 56846]]
Food, Drug, and Cosmetic Act (FD&C Act) (21 U.S.C. 393(d)(2)(C))
authorizes FDA to conduct research relating to drugs and other FDA
regulated products in carrying out the provisions of the FD&C Act.
Under the FD&C Act and implementing regulations, promotional
labeling and advertising about prescription drugs are generally
required to be truthful, non-misleading, and to reveal facts material
to the presentations made about the product being promoted (see
sections 502(a) and (n), and 201(n) of the FD&C Act (21 U.S.C. 352(a)
and (n), and 321(n)); see also 21 CFR 202.1). As a part of the ongoing
evaluation of FDA's regulations in this area, FDA is proposing to study
the impact of disclosures as they relate to presentations of
preliminary and/or descriptive scientific and clinical data in
promotional labeling and advertising for oncology products. The use of
disclosures is one method of communicating information to healthcare
professionals about scientific and clinical data, the limitations of
that data, and practical utility of that information for use in
treatment. These disclosures may influence prescriber comprehension and
decision making and may affect how and what treatment they prescribe
for their patients.
Pharmaceutical companies market directly to physicians through
means that include publishing advertisements in medical journals,
exhibit booths at physician meetings or events, sending unsolicited
promotional materials to doctors' offices, and presentations
(``detailing'') by pharmaceutical representatives (Ref. 1). Research
suggests that detail aids sometimes contain carefully extracted data
from clinical studies that, taken out of context, can exaggerate the
benefits of a drug (Ref. 2) or contribute to physicians prescribing the
drug for an inappropriate patient population.
Promotional labeling and advertising for cancer drugs deserve
specific attention. Oncology drugs represented 26 percent of the 649
compounds under clinical trial investigation from 2006 to 2011 (Ref.
3). The past decade has seen a dramatic rise in the number of oncology
drugs brought to market. In the past 18 months, over 22 percent of new
drug approvals at FDA were new cancer drugs. In that time period, FDA
approved 16 cancer drugs as new molecular entities or new therapeutic
biologics out of a total of 72 (this does not include approvals of
benign hematology products or biological license application approvals
of blood reagents, or assays and anti-globulin products used in testing
kits) (Refs. 4 and 5). Although overall survival remains the gold
standard for demonstrating clinical benefit of a cancer drug, several
additional endpoints including progression free survival, disease-free
or recurrence-free survival, or durable response rate (including
hematologic response endpoints) are accepted for either regular or
accelerated approval depending on the magnitude of effect, safety
profile, and disease context (Ref. 6). In addition to the endpoints
upon which FDA approval of these products may be based, pharmaceutical
companies typically assess many other endpoints to further explore the
effects of their products. Some trials are designed to allow for formal
statistical analyses of these additional endpoints; however, in many
cases these endpoints are strictly exploratory and support only the
reporting of descriptive results. For clinicians who are not
specifically trained in clinical trial design, interpreting these
endpoints may be challenging. Pharmaceutical companies invest heavily
in the development and distribution of promotional materials to make
oncologists aware of favorable clinical trial results.
When communicating scientific and clinical data, a specific
statement that modifies or qualifies a claim (referred to for the
purposes of this document as a disclosure) could be used to convey the
limitations of the data and practical utility of the information for
treatment. Much of the prior research on disclosures in this topic area
has been limited to the dietary supplement arena with consumers (Refs.
7 to 10). Disclosures in professional pieces could influence prescriber
comprehension as well as subsequent decision making; however, no
published data exist regarding how prescribers use and understand
scientific claims in conjunction with qualifying disclosures.
The proposed study seeks to address the following research
questions:
1. Do disclosures mitigate potentially misleading presentations of
preliminary and/or descriptive data in oncology drug product promotion?
2. Does the language (technical, non-technical) of the disclosure
influence the effectiveness of the disclosure?
3. Does the presence of a general statement about the clinical
utility of the data in addition to a specific disclosure influence
processing of claims and disclosures?
4. Do primary care physicians (PCPs) and oncologists differ in
their processing of claims and disclosures about preliminary and/or
descriptive data?
5. Which disclosures do physicians prefer?
To address these questions, FDA has designed a study that will be
conducted in three independent phases, each phase examining a data
display in a promotional piece for a unique oncology or hematology
product. Independent variables will include: (1) Specific disclosure
(technical, non-technical, none), (2) general statement (present,
absent), and (3) specialty (PCPs, oncologists). Each phase will have
the following design:
----------------------------------------------------------------------------------------------------------------
Specific disclosure
Sample General statement ------------------------------------------------------------
Technical Non-technical No disclosure
----------------------------------------------------------------------------------------------------------------
Oncologists.................... Present........... Control.
Absent............ .......................
PCPs........................... Present........... Control.
Absent............ .......................
----------------------------------------------------------------------------------------------------------------
Specific disclosures will include material information specifically
related to the particular data display in question. As such, each
specific disclosure may include clinical or statistical information
related to the trial design, the statistical analysis plan of the
trial, or any other material statistical or clinical information
necessary for evaluation or interpretation of the data. The team
developing the disclosures includes social science analysts,
pharmacists, oncological medical officers, statisticians, and an
oncology nurse. An example of the general statement is ``This
presentation includes exploratory information of uncertain clinical
utility and should be interpreted cautiously when used to make
treatment decisions.''
[[Page 56847]]
Outcome (dependent) variables will focus on the assessment of the
data display as a whole as well as attention to the disclosure, if
present. Specifically, we will examine recognition of the clinical
endpoint in the data display, comprehension of the data display,
perceptions of the strength of the data, and the perceived credibility
of the promotional piece. We will also look at attention to the
specific disclosure and the general statement, prescriber decisions,
and prescriber preferences. Preferences will be determined by a
secondary task at the end of the questionnaire that shows each
participant all disclosure options and asks them to choose their
preferred version.
Oncologists and PCPs will be recruited to participate via the
internet. We plan to conduct one pretest with 90 participants and one
study with 2,115 participants, both of which are expected to take
approximately 20 minutes. Voluntary participants will view
professionally developed promotional pieces that mimic currently
available promotion and answer questions.
In the Federal Register of Monday, June 19, 2017 (82 FR 27845), FDA
published a 60-day notice requesting public comment on the proposed
collection of information (see above). Comments received along with our
responses to the comments are provided below. Comments that are not
PRA-relevant or do not relate to the proposed study are not included.
For brevity, some public comments are paraphrased and therefore may not
reflect the exact language used by the commenter. We assure commenters
that the entirety of their comments was considered even if not fully
captured by our paraphrasing. The following acronyms are used here: FRN
= Federal Register Notice; DTC = direct-to-consumer; HCP = healthcare
professional; PCP = primary care physicians; FDA = Food and Drug
Administration; OPDP = FDA's Office of Prescription Drug Promotion.
The first public comment responder (regulations.gov tracking number
1k1-8xz7-mwcd) included eight individual comments, to which we have
responded.
Comment 1: ``It is unclear why FDA has chosen to conduct a study
focused on oncology therapeutics and those medical specialists who
prescribe such products.'' [verbatim] All prescription drug products
are treated the same according to regulations; therapeutic intent and
prescriber type do not invoke alternate regulatory approaches.
Response: As we described in the 60-day Federal Register notice,
promotional activities for oncology drugs are frequent and pervasive.
Promotional labeling and advertising for cancer drugs deserve specific
attention. Oncology drugs represented 26 percent of the 649 compounds
under clinical-trial investigation from 2006 to 2011 (Ref. 3). The past
decade has seen a dramatic rise in the number of oncology drugs brought
to market. In the past 18 months, over 22 percent of new drug approvals
at FDA were new cancer drugs. In that time period, FDA approved 16
cancer drugs as new molecular entities or new therapeutic biologics out
of a total of 72 (this does not include approvals of benign hematology
products or biological license application approvals of blood reagents,
or assays and anti-globulin products used in testing kits) (Refs. 4 and
5). Although overall survival remains the gold standard for
demonstrating clinical benefit of a cancer drug, several additional
endpoints including progression free survival, disease-free or
recurrence-free survival, or response rate (including hematologic
response endpoints) are accepted for either regular or accelerated
approval depending on the magnitude of effect, safety profile, and
disease context (Ref. 6). In addition to the endpoints upon which FDA
approval may be based, pharmaceutical companies typically assess many
other endpoints to further explore the effects of their products. Some
trials are designed to allow for formal statistical analyses of these
additional endpoints; however, in many cases these endpoints are
strictly exploratory and support only the reporting of descriptive
results. For clinicians who are not specifically trained in clinical
trial design, interpreting these endpoints can be challenging.
Pharmaceutical companies invest heavily in the development and
distribution of promotional materials to educate oncologists about
favorable clinical trial results.
As another public comment responder (regulations.gov tracking
number 1k1-8y3p-o6qb) notes, ``We agree with the FDA's assessment that
dedicated research is necessary regarding oncology drug promotion,
particularly given that a significant proportion of the drug
development pipeline is comprised of oncology products . . .''
Comment 2: FDA should use a more targeted approach, including a
monadic design with 100 oncologists split into two experimental
conditions.
Response: To clarify the study design, we are testing two
variations of disclosure (specific disclosure: Technical, non-
technical), two variations of general statement (general statement:
Present or absent), plus a control (control: No specific disclosure).
Participants will be healthcare professionals who are members of one of
two medical populations and will be randomly assigned to one condition.
Because we are examining the effects of multiple variables and their
interactions, the necessary sample sizes will be larger than those
suggested in this comment based on power analyses. We have, however,
changed the study design based on multiple comments and will now
examine only oncologists and primary care physicians.
Comment 3: The length of the survey looks long--at 17 pages, it
appears that it will take approximately 30-40 minutes to complete.
Response: We have tested the survey in-house with individuals
unfamiliar with the research project, and it appears that this survey
will take approximately 15 minutes to complete.
Comment 4: Instead of using recall as a measure, respondents should
be allowed to have access to the materials while answering questions to
better approximate their actual experiences.
Response: It is an open question as to whether having the materials
in front of them better approximates actual HCP experiences. In past
discussions with HCPs, some have reported that they do refer back to
materials that sales representatives leave, and others report that they
do not receive leave-behind materials or do not refer to them again. In
any case, we have a mixture of recall and comprehension questions in
our questionnaire. For the recall questions, respondents will not be
able to access the materials. They will, however, be able to review the
materials while answering the comprehension questions.
Comment 5: Why is FDA examining non-oncologists at all? Why are you
screening out oncology for specialists in question SPECIALTY2?
Response: HCPs of all types are exposed to prescription drug
promotion. Depending on location (e.g., rural areas) and type of
clinical setting, some non-oncologists may have a need to consider
oncologic prescription drugs to treat their patients. We agree that
oncologists are the most relevant population to study in this research.
However, we also want to know whether specific education and experience
influence the processing of claims, data, and disclosures. Upon further
review, we agree that nurse practitioners and physician assistants
without oncology experience are not a necessary group to investigate to
answer our particular research questions. We intend to use PCPs as a
control group to understand whether specific advanced training
[[Page 56848]]
influences the understanding of preliminary and/or descriptive oncology
data. Some PCPs may have experience with oncology prescriptions,
particularly in rural areas. We will not eliminate PCPs without
oncology experience, but we will measure oncology prescribing
experience and use this variable as a covariate in our studies.
Comment 6: FDA should screen for the prescribing of oncologic
products.
Response: Although we do not intend to screen out physicians
without oncology prescribing experience, we will measure this variable
and use this information to determine whether it plays a role in the
responses of PCPs.
Comment 7: From this point (ENDPOINT) responses may be based on the
ability of respondents to recall information vs. the absence/presence
of disclosures. If FDA continues with this design, the Agency should be
prepared to control for this in the study design.
Response: Because this is an experimental design with random
assignment to condition, any fatigue with questions that may affect the
recall of information should fall out evenly across conditions.
Therefore, any differences would be the result of our manipulations, in
this case, the presence and form of disclosures. We have given thought
to the ordering of the questions so that the most important questions
are asked in the beginning of the survey rather than toward the end.
Comment 8: The answer to this question (CAUTIOUS) may be influenced
more by personal and subjective opinion vs. the content of the
disclosure.
Response: Because of the experimental design with random assignment
to condition, personal and subjective opinions should be evenly and
randomly spread across experimental conditions. However, upon further
review, we have determined that this question has limited utility and
we will delete it.
The second public comment responder (regulations.gov tracking
number 1k1-8y3p-o6qb) included one individual comment. They reported
that they support the study specifically and OPDP's overall research
efforts generally, and they agree that oncology deserves special
attention. We thank this commenter for taking the time to provide this
comment to us.
The third public comment responder (regulations.gov tracking number
1k1-8y5u-5vp0) included eight individual comments, to which we have
responded.
Comments 1 and 2: The commenter supports FDA social science
research and this specific project, as well as the Disclosures study
(Docket No. FDA-2017-N-0558). ``FDA's collective research indicates a
considered, objective updating of the FDA's advertising regulations,
including the use of disclosures to prevent misleading claims in
advertisements for oncology products, is timely . . . . Enabling
disclaimers would be one way to enable innovators to advertise new
oncology therapeutics for their approved uses in ways which would be
non-misleading.''
Response: Thank you for your support.
Comment 3: The commenter suggests making sure that primary care
physicians and advanced practitioners have experience in the oncology
field--otherwise, it seems useless to include less knowledgeable
respondents whose answers are more speculative. Overall, they question
whether advanced practitioners are appropriate for this study at all.
Response: We have removed advanced practitioners from the design.
We will measure the oncology prescribing experience of the PCPs in our
sample, but we will not eliminate those who do not have specific
oncology training. One of our research questions is whether specific
training and experience in oncology influences the understanding of
preliminary oncology data. To do that, we need to include a group of
practitioners who may not have specific training and experience in
oncology, but who are licensed practitioners permitted by law to
prescribe oncology drugs, and who, in some cases, may do so.
Comment 4: If the only data being presented for BENEFICIAL,
EVIDENCE1 and EVIDENCE2 are the endpoints for the disclosure without
presenting overall survival or more clinically validated data, we
suggest removing these questions.
Response: The pieces include other clinically validated data as
would be typical in an existing piece for an oncology indication.
Comment 5: Remove CONFUSING2 because it asks physicians to
speculate.
Response: As this item is a perception measure, as opposed to an
accuracy measure, it is reasonable to consider some level of
speculation. Moreover, in cognitive testing, HCPs responded without
difficulty.
Comment 6: For SCRIPT4, add an ``I don't know'' option instead of
instructing respondents to ``make your best guess.''
Response: This item was cognitively tested and participants
expressed no difficulty answering it.
Comment 7: Those who respond ``not at all familiar'' to FAMILIAR
should skip BTKNOW1, BTKNOW2, and ACCEL.
Response: We agree with this comment. Those who respond ``not at
all familiar'' to FAMILIAR will skip the three items mentioned above.
Comment 8: BTDV1 and BTDV2 present incomplete data and therefore it
is unclear how this will be a useful question. The commenter suggests
either adding an ``I need more information'' option or removing the
question.
Response: These items present incomplete data but we have provided
enough data that HCPs should be able to make a choice. HCPs in
cognitive testing exhibited no difficulty with the question. There is
no existing data on perceptions of FDA's ``breakthrough'' designation
and this item will provide at least rudimentary information. Please
note that each respondent will see only one of the items. These items
are carefully crafted to avoid order effects and alphabetical effects.
The fourth public commenter (regulations.gov tracking number 1k1-
8y5u-koc0) included 15 individual comments, to which we have responded.
Comment 1 (summarized): The commenter is concerned with the
Agency's recent approaches to studies in this area. FDA has proposed to
undertake projects in a variety of disparate topics without
articulating a clear, overarching research agenda or adequate
rationales on how the proposed research related to the goal of further
protecting public health. Within the last year, the Agency has
increased such efforts at an exponential pace. At times, FDA proposes
new studies seemingly without fully appreciating its own previous
research published on the Office of Prescription Drug Promotion (OPDP)
website. Proposed studies are often unnecessary in light of existing
data. The commenter suggests that the Agency publish a comprehensive
list of its prescription drug advertising and promotion studies from
the past five years and articulate a clear vision for its research
priorities for the near future. Going forward, FDA should use such
priorities to explain the necessity and utility of its proposed
research and should provide a reasonable rationale for the proposed
research.
Response: OPDP's mission is to protect the public health by helping
to ensure that prescription drug information is truthful, balanced, and
accurately communicated, so that patients and healthcare providers can
make informed decisions about
[[Page 56849]]
treatment options. OPDP's research program supports this mission by
providing scientific evidence to help ensure that our policies related
to prescription drug promotion will have the greatest benefit to public
health. Toward that end, we have consistently conducted research to
evaluate the aspects of prescription drug promotion that we believe are
most central to our mission, focusing in particular on three main topic
areas: Advertising features, including content and format; target
populations; and research quality. Through the evaluation of
advertising features we assess how elements such as graphics, format,
and disease and product characteristics impact the communication and
understanding of prescription drug risks and benefits; focusing on
target populations allows us to evaluate how understanding of
prescription drug risks and benefits may vary as a function of
audience; and our focus on research quality aims at maximizing the
quality of research data through analytical methodology development and
investigation of sampling and response issues. Because we recognize the
strength of data and the confidence in the robust nature of the
findings is improved through the results of multiple converging
studies, we continue to develop evidence to inform our thinking. We
evaluate the results from our studies within the broader context of
research and findings from other sources, and this larger body of
knowledge collectively informs our policies as well as our research
program. Our research is documented on our homepage, which can be found
at: https://www.fda.gov/aboutfda/centersoffices/officeofmedicalproductsandtobacco/cder/ucm090276.htm. The website
includes links to the latest Federal Register notices and peer-reviewed
publications produced by our office. The website maintains information
on studies we have conducted, dating back to a survey of DTC attitudes
and behaviors conducted in 1999.
Comment 2: FDA should provide more detail about the study to
stakeholders. ``It is not clear from this description whether the study
will yield useful information to evaluate whether disclosures provide
appropriate contextual information in certain communications, whether
such disclosures can be made more effective, and where the disclosures
are necessary to ensure communications are truthful and non-
misleading.''
Response: We have described the purpose of the study, the design,
the population of interest, and have provided the questionnaire to
numerous individuals upon request. These materials have proven
sufficient for others to comment publicly, and for academic experts to
peer-review the study successfully. Our full stimuli are under
development during the PRA process. We do not make draft stimuli public
during this time because of concerns that this may contaminate our
participant pool and compromise the research.
Comment 3: The Agency should wait until it has completed its
broader study on disclosures more generally. This study is duplicative
of other studies.
Response: As we discussed in the 60-day Federal Register notice,
oncological products deserve specific attention as they account for
nearly a quarter of new drug approvals and can involve the assessment
of complicated endpoints. Moreover, they have specific disclosures that
are unique to their products and deserve particular study. The other
disclosures study (Docket No. FDA-2017-N-0558) will provide important
information about a variety of disclosures in different medical
conditions. One research study cannot answer all questions or study all
aspects of an issue. These two studies will be complementary but not
redundant. Please also refer to our response to comment 1 from the
first commenter above.
Comment 4: Given that FDA grants approval based on certain
preliminary and descriptive data, and that various limitations as to
the underlying data must already be communicated to prescribers, there
appears to be limited utility in researching disclosures regarding such
data.
Response: We disagree that FDA grants approval on preliminary or
descriptive data. The evidentiary standard is substantial evidence.
While we recognize that no single development program can answer all
questions about a particular drug in all populations, it is not
accurate to describe the evidence supporting approval as descriptive or
preliminary. What is potentially unique about oncology products is that
many are approved under accelerated approval, in which the substantial
evidence of benefit is on a surrogate endpoint that is reasonably
likely to predict a clinical outcome. There remains some residual
uncertainty regarding whether the effect on a surrogate endpoint will
directly correlate with a clinical benefit; however, there is a
requirement that confirmatory evidence of clinical benefit be obtained
after approval. This residual uncertainty about the relationship of the
surrogate endpoint to the clinical benefit is communicated to
prescribers through the FDA-required labeling (e.g., inclusion of a
limitation of use in the Indications and Usage section of the FDA-
required labeling). In addition, reliance on a surrogate endpoint under
accelerated approval is only done for serious diseases when the
evidence indicates that the product provides a meaningful therapeutic
benefit to patients over existing treatments (21 CFR 314.500).
However, this study does not focus on endpoints that formed the
basis for approval. This study focuses on promotional displays of
preliminary and/or descriptive data. It has not been established
whether and how current disclosure-type additions to promotion are
adequately communicating the limitations around this type of data, and
that is the purpose of the current study. Given the importance of these
limitations, it is crucial to make sure that promotional materials
directed at to prescribers convey limitations appropriately. Past
research has shown that simply including a statement somewhere in a
promotional piece does not grant it automatic usefulness (Refs. 7 to
10).
Comment 5: FDA notes that, ``[a]lthough overall survival remains
the gold standard for demonstrating clinical benefit of a drug, several
additional endpoints are accepted as surrogates . . . [including]
disease-free survival, objective response rate, complete response rate,
progression-free survival, and time to progression.'' The Agency
further states that ``[f]or clinicians who are not specifically trained
in clinical trial design, interpreting these endpoints may be
challenging.'' FDA does not cite any sources for this claim, and there
is no basis for thinking that clinicians do not have a thorough
understanding of the data limitations described in presentations of
preliminary or descriptive scientific and clinical data. This is
especially true of oncologists.
Response: This statement was not intended to be a claim, but rather
a statement of concern. Studies report that physicians lack sufficient
critical knowledge and skills to evaluate evidence based medicine (EBM)
and may be influenced by the way study results are presented (Refs. 11
to 13). FDA recently conducted a systematic review of research related
to prescribers' training and critical appraisal skills related to
clinical trials (Ref. 14). The study found that extant physician
knowledge and skills regarding certain statistical concepts and trial
designs were in the middle of the possible outcome score range, at
levels below those considered mastery, even after
[[Page 56850]]
interventions designed to increase knowledge and skills. Evidence
suggested that clinical credentials affect understanding and use of
clinical data. Physicians with formal training in biostatistics,
epidemiology, clinical research, or EBM demonstrated higher levels of
knowledge and appraisal skills than those with usual medical education
and training.
Comment 6: The specific disclosures outlined by FDA include
``clinical or statistical information related to the trial design, the
statistical analysis plan of the trial, or any other material
statistical or clinical information necessary for evaluation or
interpretation of the data.'' The breadth of the proposed specific
disclosures appears burdensome, unnecessary, and overwhelming for the
purposes of the proposed survey.
Response: These concepts were provided as examples of the types of
information that may be necessary for the accurate evaluation or
interpretation of the data. This statement was not meant to imply that
all of these concepts would be included in disclosures used in this
study.
Comment 7: PCPs and non-oncology mid-level practitioners will
provide much less utility in their survey responses regarding such
disclosures.
Response: We have changed the design. See previous comments and
responses.
Comment 8: The Agency proposes to conduct its survey via electronic
media. FDA should consider testing non-electronic media, including
printed sales aids, as these forms are often reviewed by the proposed
study subjects.
Response: To clarify, the stimuli presented will consist of mock
print materials in .pdf format, administered via the internet.
Conducting the study in person would require a greater expenditure of
resources without appreciable benefits.
Comment 9: The Agency should consider using a consistent sliding
scale format for all survey responses. Just within pages 7-9 of the
survey, FDA proposes numerous different schemes for survey responses:
(1) ``Not at all beneficial--Extremely beneficial;'' (2) ``Completely
agree--Completely disagree;'' (3) ``No evidence--Strong (or conclusive)
evidence;'' (4) ``Not at all complex--Extremely complex;'' (5) ``Not at
all confusing--Extremely confusing;'' and (6) additional responses in
which subjects are asked to agree with certain statements. The variety
in response options is confusing in format and could potentially
introduce error. To the extent possible, FDA should make the response
format consistent throughout the survey. Further, the Agency should
ensure the sliding scale format consistently provides an odd number of
responses to permit a ``neutral'' response. Certain questions (e.g.,
the IMPROVE question on page 7) provide six choices, not permitting a
neutral response.
Response: Although one scale throughout would be easier for
respondents, it will not necessarily provide better data. When a series
of adjacent questions have the same response options, respondents may
use a response mechanism known as anchoring and adjusting when
reporting (Ref. 15). Respondents use their response to the initial
survey question on a topic as the ``cognitive anchor,'' and then adjust
up or down based on subsequent questions (Ref. 16). Anchoring and
adjusting is more likely to occur for questions when respondents have
some level of uncertainty in their answer (Ref. 17), which would be
expected in this study. Epley and Gilovich (Ref. 17) found that when
respondents use an anchoring and adjusting strategy, they often adjust
insufficiently. Respondents start with the response they used for the
first item and then search for the next value that is ``close enough.''
This can result in responses to adjacent items being more similar than
responses to the same items if they used an item-specific scale (Not at
all beneficial to Extremely beneficial; Not at all complex to Extremely
complex). Using the same scale across all survey questions would
artificially increase the correlations between all questions making it
more difficult to identify differences based on the stimuli or
respondent characteristics. Furthermore, use of item-specific scales
compared with agree-disagree scales reduces primacy effects (tendency
of respondents to select options at the beginning of the list) (Ref.
18), and increases reliability and validity (Ref. 19). Careful
consideration was made to use agree-disagree scales only when item-
specific scales would not be appropriate (e.g., presenting patient
vignettes) or unnecessarily complex (e.g., asking about ``complex
terminology, statistical terms, or jargon,'' inquiring about ``strong''
evidence).
In terms of neutral points, given the focus of the questions, we
believe that offering a neutral response option is not necessary to
measure opinions and attitudes accurately. Consequently, our objective
is to force a selection and have participants make at least a weak
commitment in either a positive or negative direction. Of concern is
that offering a neutral midpoint could potentially encourage
``satisficing''--cuing participants to choose a neutral response
because it is offered (Ref. 20). Additionally, providing a midpoint
leads to the loss of information regarding the direction in which
people lean (Ref. 21). Research has found that neither format (either
with or without a neutral point) is necessarily better or produces more
valid or reliable results (Ref. 22). Instead, it should be left to the
researcher to determine the goals of the study. During cognitive
testing, a majority of participants were satisfied with the response
options and all participants felt comfortable choosing a response in
the absence of a midpoint.
Use of a midpoint is an issue we have examined in previous studies
and we determined that we achieve valid and reliable responses without
a midpoint. To increase consistency with measures used in previous
studies, and in support of the arguments presented above, we are opting
to exclude a midpoint. Finally, if a participant does not feel that
they can choose a response because of a lack of a neutral option, they
will be able to skip the question.
Comment 10: In the BENEFICIAL question on page 7 of the survey, it
is unclear what relevance the subject's perception of clinical benefit
of a drug has in studying FDA's proposed research purpose.
Response: For prescription drug products, advertisers must ensure
that both the benefits and limitations are appropriately conveyed. If
limitations are not appropriately conveyed, viewers may have an
inflated view of the benefits of the product, relative to its risks.
This question investigates this issue.
Comment 11: In a study setting, subjects may be prone to read and
pay attention to more or all of the information presented. Subjects
also are more aware of the importance of their responses. The Agency
should address what efforts it will take to avoid response bias by
study subjects.
Response: We initially had this concern many years ago when OPDP
began conducting research. However, since that time, we have seen no
evidence of this bias. In fact, we often deal with the opposite
problem--ensuring that respondents spend a minimum amount of time
looking at mock materials. Moreover, cognitive testing participants
have told us that they would not spend extra time on materials if they
were answering questions without an interviewer in the room.
Individuals, especially HCPs, are busy, and we believe our experiments
do not overestimate the amount of time participants spend on actual
materials.
[[Page 56851]]
Comment 12: Although the draft survey did not contain Informed
Consent text, the Agency should ensure that this text does not state or
imply that the survey is being conducted on behalf of the U.S. Food and
Drug Administration. Such a statement could potentially influence
subjects' responses to study questions. Instead, this information might
be provided at the conclusion of the study.
Response: We will ensure that all materials reference the U.S.
Department of Health and Human Services rather than FDA.
Comment 13: The CAUTIOUS question on page 8 should be rephrased or
omitted. Subjects may be biased to respond that they interpret all data
with caution, regardless of the underlying scientific evidence
presented in study stimuli.
Response: We agree with this comment and will delete this item.
Comment 14: The DECISIONS question on page 8 should be omitted. How
survey participants ``feel about the data presented'' will be highly
dependent on their external experience in making prescribing decisions.
This question thus may lead to highly variable results.
Response: Because this is an experimental design with random
assignment to conditions, external experiences in making prescribing
decisions should be randomly scattered across experimental conditions.
Thus, we will be able to infer causation to our manipulations of
disclosures if we find any differences across experimental conditions.
We believe the presence and form of the disclosure may influence this
dependent variable and believe it will reveal important information
about how HCPs process the data.
Comment 15: The PREFERENCE and PREFERWHY questions on page 16
should be moved to the beginning of the survey or omitted altogether.
Subjects' responses regarding their preference in sales aid disclosure
statements will be heavily influenced by earlier portions of the
survey.
Response: We have given careful thought to the ordering of the
questions in the questionnaire. Because preference is of secondary
interest to us, we have included it after our primary outcome
variables, so that it does not influence them. We recognize that prior
questions may influence these measures and will interpret them with
that caveat in mind.
FDA estimates the burden of this collection of information as
follows:
Table 1--Estimated Annual Reporting Burden \1\
--------------------------------------------------------------------------------------------------------------------------------------------------------
Number of
Activity Number of responses per Total annual Average burden per response \2\ Total hours
respondents respondent responses
--------------------------------------------------------------------------------------------------------------------------------------------------------
Pretest Study Screener Completes............ 150 1 150 0.03 (2 minutes).......................... 5
Main Study Screener Completes............... 3,525 1 3,525 0.03 (2 minutes).......................... 106
Pretest Study............................... 90 1 90 0.33 (20 minutes)......................... 30
Main Study.................................. 2,115 1 2,115 0.33 (20 minutes)......................... 698
-----------------------------------------------------------------------------------------------------------
Total................................... .............. .............. .............. .......................................... 839
--------------------------------------------------------------------------------------------------------------------------------------------------------
\1\ No capital costs or operating and maintenance costs are associated with collection of this information.
\2\ Burden estimates of less than 1 hour are expressed as a fraction of an hour in decimal format.
II. References
The following references marked with an asterisk (*) are on display
at the Dockets Management Staff (HFA-305), Food and Drug
Administration, 5630 Fishers Lane, Rm. 1061, Rockville, MD 20852, and
are available for viewing by interested persons between 9 a.m. and 4
p.m., Monday through Friday; they also are available electronically at
https://www.regulations.gov. References without asterisks are not on
public display at https://www.regulations.gov because they have
copyright restriction. Some may be available at the website address, if
listed. References without asterisks are available for viewing only at
the Dockets Management Staff. FDA has verified the website addresses,
as of the date this document publishes in the Federal Register, but
websites are subject to change over time.
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Short Courses in Evidence Based Medicine Improve Knowledge and
Skills? Validation of Berlin Questionnaire and Before and After
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* 14. Kahwati, L., D. Carmondy, N. Berkman,
[[Page 56852]]
et al., ``Prescribers' Knowledge and Skills for Interpreting
Research Results: A Systematic Review,'' Journal of Continuing
Education in the Health Professions, 37(2):129-136, 2017.
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21(1):91-103, 2017.
* 19. Saris, W.E., M. Revilla, J.A. Krosnick, et al., ``Comparing
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* 20. Krosnick, J.A. and S. Presser, ``Question and Questionnaire
Design,'' In: Handbook of Survey Research (pp. 263-314). Bingley,
United Kingdom: Emerald Group Publishing Limited, 2010.
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the Standardized Questionnaire, (No. 63). Thousand Oaks, CA: SAGE
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22. DeVellis, R.F., Scale Development: Theory and Applications,
(Vol. 26). Thousand Oaks, CA: SAGE Publications, 2016.
Dated: November 7, 2018.
Leslie Kux,
Associate Commissioner for Policy.
[FR Doc. 2018-24785 Filed 11-13-18; 8:45 am]
BILLING CODE 4164-01-P