Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment Request; Utilization of Adequate Provision Among Low to Non-Internet Users, 10855-10862 [2018-04996]
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Federal Register / Vol. 83, No. 49 / Tuesday, March 13, 2018 / Notices
Leroy A. Richardson,
Chief, Information Collection Review Office,
Office of Scientific Integrity, Office of the
Associate Director for Science, Office of the
Director, Centers for Disease Control and
Prevention.
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
[FR Doc. 2018–05000 Filed 3–12–18; 8:45 am]
Agency Information Collection
Activities; Submission for Office of
Management and Budget Review;
Comment Request; Utilization of
Adequate Provision Among Low to
Non-Internet Users
BILLING CODE 4163–18–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Disease Control and
Prevention
Food and Drug Administration
[Docket No. FDA–2017–N–0493]
AGENCY:
ACTION:
[CDC–2017–0114; Docket Number NIOSH–
305]
Final National Occupational Research
Agenda for Transportation,
Warehousing and Utilities
National Institute for
Occupational Safety and Health
(NIOSH) of the Centers for Disease
Control and Prevention (CDC),
Department of Health and Human
Services (HHS).
AGENCY:
ACTION:
Notice of availability.
NIOSH announces the
availability of the final National
Occupational Research Agenda for
Transportation, Warehousing and
Utilities
SUMMARY:
The final document was
published on March 7, 2018.
DATES:
The document may be
obtained at the following link: https://
www.cdc.gov/niosh/nora/sectors/twu/
agenda.html
ADDRESSES:
FOR FURTHER INFORMATION CONTACT:
Emily Novicki, M.A., M.P.H,
(NORACoordinator@cdc.gov), National
Institute for Occupational Safety and
Health, Centers for Disease Control and
Prevention, Mailstop E–20, 1600 Clifton
Road NE, Atlanta, GA 30329, phone
(404) 498–2581 (not a toll free number).
On
December 1, 2017, NIOSH published a
request for public review in the Federal
Register [82 FR 56973] of the draft
version of the National Occupational
Research Agenda for Transportation,
Warehousing and Utilities. No
comments were received.
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SUPPLEMENTARY INFORMATION:
Dated: March 8, 2018.
Frank Hearl,
Chief of Staff, National Institute for
Occupational Safety and Health, Centers for
Disease Control and Prevention.
[FR Doc. 2018–04988 Filed 3–12–18; 8:45 am]
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Food and Drug Administration,
HHS.
Notice.
The Food and Drug
Administration (FDA) 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: Submit either electronic or
written comments on the collection of
information by April 12, 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 ‘‘Utilization of Adequate Provision
Among Low to Non-internet Users.’’
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:
SUMMARY:
I. Background
In compliance with 44 U.S.C. 3507,
FDA has submitted the following
proposed collection of information to
OMB for review and clearance.
Utilization of Adequate Provision
Among Low to Non-Internet Users
OMB Control Number 0910–NEW
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
Food, Drug, and Cosmetic Act (FD&C
Act) (21 U.S.C. 393(d)(2)(C)) authorizes
FDA to conduct research relating to
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drugs and other FDA regulated products
in carrying out the provisions of the
FD&C Act.
Prescription drug advertising
regulations require that broadcast
advertisements containing product
claims present the product’s major side
effects and contraindications in either
audio or audio and visual parts of the
advertisement (21 CFR 202.1(e)(1)); this
is often called the major statement. The
regulations also require that broadcast
advertisements contain a brief summary
of all necessary information related to
side effects and contraindications or
that ‘‘adequate provision’’ be made for
dissemination of the approved package
labeling in connection with the
broadcast (§ 202.1(e)(1)). The
requirement for adequate provision is
generally fulfilled when a firm gives
consumers the option of obtaining FDArequired labeling or other information
via a toll-free telephone number,
through print advertisements or product
brochures, through information
disseminated at health care provider
offices or pharmacies, and through the
internet (Ref. 1). The purpose of
including all four elements is to ensure
that most of a potentially diverse
audience can access the information.
Internet accessibility is increasing, but
many members of certain demographic
groups (e.g., older adults, low
socioeconomic status individuals)
nonetheless report that the internet is
inaccessible to them either as a resource
or due to limited knowledge, and so a
website alone may not adequately serve
all potential audiences (Refs. 2 and 3).
Similarly, some consumers may prefer
to consult sources other than a health
care provider to conduct initial
research, for privacy reasons or
otherwise (Refs. 1, 4, and 5). In light of
these considerations, the toll-free
number and print ad may provide
special value to consumers who are low
to non-internet users and/or those who
value privacy when conducting initial
research on a medication, though not
necessarily unique value relative to one
another. As such, a primary purpose of
this research is to examine the value of
including both the toll-free number and
print ad as part of adequate provision in
direct-to-consumer (DTC) prescription
drug broadcast ads. We will also
investigate the ability and willingness of
low to non-internet users to make use of
internet resources if other options were
unavailable. These questions will be
assessed using a survey methodology
administered via telephone.
In addition, building on concurrent
FDA research regarding drug risk
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information,1 we will assess risk
perceptions as influenced by opening
statements that could be used to
introduce risks in DTC prescription
drug broadcast ads. Opening statements
may be used to frame risk information
that follows. As such, consumers may
interpret the likelihood, magnitude, and
duration of risks differently depending
on how those risks are introduced (Refs.
6–9). The intended outcome of this
component of the research is to evaluate
the influence of these opening
statements within a sample of low to
non-internet users. This research
question will be addressed using a 1 ×
3 between-subjects experimental design
embedded in the previously mentioned
survey. This particular component of
the research will serve as an exploratory
test intended to inform FDA’s future
research efforts.
Sampling Frame. Given that older
adults (i.e., those aged 65 and older) are
among the largest consumers of
prescription drugs (Ref. 10) and that
approximately 41 percent of older
adults do not use the internet (Ref. 2),
investigating use of adequate provision
in this population is especially
important. Also of concern, 34 percent
of those with less than a high school
education do not use the internet, 23
percent of individuals with household
incomes lower than $30,000 per year do
not use the internet, and 22 percent of
individuals living in rural areas do not
use the internet (Ref. 2). These estimates
capture non-internet users, and so
consideration of low-internet users
warrants additional concern. Consistent
with these citations, the present
research will utilize a nationally
representative sample of low to noninternet users from these and other
relevant demographic groups.
Data collection will utilize a random
digit dialing (RDD) sample that has been
pre-identified as being a non-internet
household, or having at least one noninternet using member. This sample
solution is ideal because it relies on a
dual-frame (landline and cell phone)
probability sample, yet has the
advantage of prior knowledge of those
who are likely to be low to non-internet
users (re-screening will verify this). The
Social Science Research Solutions
(SSRS) Omnibus, within which this
survey will be embedded, utilizes a
sample designed to represent the entire
adult U.S. population, including Hawaii
and Alaska, and including bilingual
(Spanish-speaking) respondents. As
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reflected in the overall population of
low to non-internet users, we intend to
collect a small sample of Spanishspeaking individuals, which comprise a
subsample of the regular landline and
cell phone RDD sampling frames. We
will also screen for past and present
prescription drug use in order to ensure
a motivated sample.
Survey Protocol. This survey will be
conducted by telephone on landline and
cell phones, with an expected 50 to 60
percent of interviews conducted on cell
phones. Interviewing for the pretest and
main study will be conducted via
SSRS’s computer-assisted telephone
interviewing system. We expect to
achieve a roughly 40 percent survey
completion rate from the pre-identified
respondents to be sampled in this study,
given an 8-week field period and a
maximum of 10 attempts to reach
respondents. The original SSRS
Omnibus from which this sample is
derived receives an approximately 8 to
12 percent response rate. These are not
uncommon response rates for highquality surveys and have been found to
yield accurate estimates (Refs. 11 and
12).
As communicated earlier, the primary
focus of interview questions concern the
ability and willingness of low to noninternet users to utilize the various
components of adequate provision,
particularly the toll-free number and
print ad components. In addition to
these questions, experimental
manipulations will be embedded in the
survey as an exploratory test to assess
the impact of opening statements that
could be used to introduce risks in DTC
prescription drug broadcast ads, which
is a related concept. To form the
experimental manipulations,
participants will be presented with a
statement of major risks and side effects
(‘‘the major statement’’) drawn from a
real prescription drug product, but
modified to include only serious and
actionable risks. Preceding this
description of major risks will be one of
three opening statements: (1) ‘‘[Drug]
can cause severe, life threatening
reactions. These include . . .’’; (2)
‘‘[Drug] can cause serious reactions.
These include . . .’’; or (3) ‘‘[Drug] can
cause reactions. These include . . .’’ All
risk statements will conclude with the
following language: ‘‘This is not a full
list of risks and side effects. Talk to your
doctor and read the patient labeling for
more information.’’ Participants will be
randomly assigned to experimental
condition, and all manipulations will be
pre-recorded to allow for consistent
administration. Following exposure to
these manipulations, participants will
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respond to several questions designed to
assess risk perceptions.
Before the main study, we will
execute a pretest with a sample of 25
participants from the same sampling
frame as outlined. The pretest
questionnaire will take approximately
15 minutes to complete. The goal of the
pretest will be to assess the
questionnaire’s format and the general
protocol to ensure that the main study
is ready for execution. To test the
protocol among the target groups, we
will seek to recruit a mix of participants
based on demographic and other
characteristics of interest. We do not
plan to use incentives for the pretest or
main study portions of this survey.
However, upon request, cell phone
respondents may be offered $5 to cover
the cost of their cell phone minutes.
Questionnaire development is an
iterative process and so the main study
questionnaire will include any changes
from pretesting, as well as other
outcomes, such as OMB and public
comments. Like pretesting, the main
study questionnaire should take
approximately 15 minutes to complete.
Based on a power analyses, the main
study sample will include
approximately 1,996 participants. This
sample size will allow us to draw
statistical comparisons between the
various demographic groups in the
sample.
Measurement and Planned Analyses.
Consistent with the larger purpose of
the study, survey questions will
examine access, technical ability, and
willingness to use adequate provision
options; preference for and experience
using adequate provision options;
privacy concerns; and potentially other
secondary questions of interest. In
addition, to assess the impact of the
experimental manipulations, survey
questions will assess perceived risk
likelihood, perceived risk magnitude,
and perceived risk duration.
Demographic information will also be
collected. To examine differences
between experimental conditions, we
will conduct inferential statistical tests
such as analysis of variance. A copy of
the draft questionnaire is available upon
request.
In the Federal Register of June 12,
2017 (82 FR 26934), FDA published a
60-day notice requesting public
comment on the proposed collection of
information. Comments received along
with our responses to the comments are
provided below. 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
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not fully captured by our paraphrasing.
The following acronyms are used here:
FRN = Federal Register Notice; DTC =
direct-to-consumer; FDA and ‘‘The
Agency’’ = Food and Drug
Administration; OPDP = FDA’s Office of
Prescription Drug Promotion.
Comment 1a, regulations.gov tracking
number 1k1–8y16–3nqx (summarized):
The commenter expresses support for
FDA’s collective research and welcomes
the Agency’s current proposed survey
examining adequate provision.
Response to Comment 1a: We
appreciate and thank the commenter for
their support.
Comment 1b (verbatim): Throughout
the main survey questionnaire, some
questions ask about ability to obtain
information on prescription drugs after
seeing an advertisement on television.
These questions presume access to a
television. If understanding this process
of first seeing an ad on TV then
searching for information is the key
objective, we suggest in the screening
criteria ensuring all respondents have
access to a TV and/or watch television
on a regular basis.
Response to Comment 1b: We have
added a screening question to confirm
that participants watch television at
least occasionally.
Comment 1c (verbatim): As currently
outlined, the sample frame is relatively
broad in that it includes those who
possibly do not have experience with
prescription medications or experience
searching for prescription medication
information. Respondents without
experience in this area could provide
speculative responses to many
questions, and thus, [the commenter]
suggests that they are outside of the
scope. To address this, we recommend
adding a screening question or
questions to include only those who
have had at least one medical condition
which has required prescription
medication within the last 12 months.
Response to Comment 1c: To ensure
a motivated sample, we included a
question to screen for past or present
prescription drug use.
Comment 1d (verbatim): The purpose
of the secondary objective of the study
pertaining to risk statements is not
entirely clear. Since the sample frame is
not restricted to those who suffer from
a condition which could be helped by
the mock drug, responses have the
possibility to be speculative and reflect
bias of people coming in to the study
rather than what is intended. For
instance, respondents who happen to be
within a population targeted by the
major statements are reasonably more
likely to report a higher likelihood of
experiencing a stated side effect and
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reporting a higher seriousness of them,
biasing experiment responses.
Response to Comment 1d: The
secondary objective of the study is
designed to assess the impact of opening
statements that could be used to
introduce risks in DTC prescription
drug broadcast ads. This objective
complements previously published
research and adds value by newly
investigating the impact of framing
statements among a sample of low to
non-internet users. Our approach
involves random assignment to
experimental conditions which should
lead to approximately equal numbers of
diagnosed versus undiagnosed
individuals in each of the conditions,
lessening any concern about bias.
Nonetheless, please understand that this
secondary objective is intended to
provide a preliminary assessment of the
stated research questions for
development purposes. Procedurally,
this objective will involve only a brief
presentation of a short audio broadcast
followed by three questions, allowing us
to gather this valuable information with
very low burden to participants who are
already engaged in our larger survey
regarding adequate provision.
Comment 1e (verbatim): Additionally,
information gained from the
experimental manipulations (E–1
through E–3) will only be applicable to
hearing the opening and major
statement presented over the phone,
rather than versus being read through
print or online. Interpretations and
understanding of this info could differ
between the media. While this could
possibly be a useful supplement to
current knowledge, the learnings will
likely not be directly applicable to the
other media. If comparison of
interpretation between the media is the
goal of this section, [the commenter]
suggests a stand-alone study would
better address that goal rather than an
addendum to this one.
Response to Comment 1e: We
appreciate this limitation of our
preliminary assessment and intend to
take it into consideration when
interpreting results.
Comment 1f (verbatim): Screener: The
current screener terminates cell phone
users who have not browsed the internet
in the past month (S I). It is not readily
apparent why this group should not
participate in the survey. We would
suggest that the termination criteria be
removed from this question as it may
make incremental improvement to
response rates.
Response to Comment 1f: The
screener only excludes cell phone users
(T1 = 2) who choose ‘‘don’t know’’
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(¥ 98) or refuse the question
(¥ 99) (S1 < 0).
Comment 1g (verbatim): As is, it is
unclear what an independent variable
for the questionnaire is intended to be.
One possibility [the commenter]
suggests is including a question aimed
at understanding the overall preference
for source of information, which would
serve as the independent variable in the
study or could be combined with the
ability and access questions to make a
composite variable. (e.g., ‘‘What is your
preferred medium in which to receive
prescription drug information: Print ads
for the drug; the manufacturer’s phone
number or website; or asking your
healthcare provider?’’)
Response to Comment 1g: Please refer
to the instruction set preceding question
3. Our questionnaire attempts to learn
about patient preferences through
questions about participant likelihood
to seek information via the various
available sources, as well as past use,
ability, and willingness, among other
constructs. We believe these constructs
to provide adequate assessment of
consumer preference to obtain
additional information via the various
available sources. Moreover, we note
that another commenter (see Comment
3n) takes the position that we should
not inquire about patient preferences.
We have considered both of the
perspectives when deciding upon
potential revisions.
Comment 1h (verbatim): Throughout
the survey, [the commenter] suggests
defining each point on the 5 point scales
used to avoid confusion by respondents.
In our consumer research efforts, we
customarily use 5 point scales that are
defined at each point, such as
‘Excellent, Very Good, Good, Poor, and
Very Poor’.
Response to Comment 1h: We concur
that defining each point on 5 point
scales helps mitigate confusion and
have revised the questionnaire to define
each point of scales.
Comment 1i (verbatim): It seems
inappropriate to use a Likert scale to
answer ‘‘Q1: Access to sources of
information’’, as it would seem access
could be defined more narrowly—No
access, some access, or complete access.
We suggest using the pre-test to examine
this question in particular to ensure
either that the current scale is
interpreted correctly or determine an
appropriate re-wording. Additionally, it
could be helpful to include the more
specific options as distinct answer
choices (e.g. an option for internet at a
public library and a separate option for
internet at a coffee shop) in order to
provide more granular information
which could be useful to the FDA as
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well as industry as a whole. We suggest
using the pre-test to produce a full list
of options as well as any appropriate rewordings.
Response to Comment 1i: We agree
that defining access more narrowly may
be sufficient for this question and so we
have adopted this approach in our
revised survey. We will also evaluate
responses to this narrowed scale in our
analysis of pretest data. We also
appreciate the value of assessing
locations of access; however, we
consider such questions to be of lesser
relevance to our key objectives, and we
have sought to limit the duration of the
survey to less than 15 minutes.
Consequently, we do not adopt this
recommendation.
Comment 1j (verbatim): Throughout
the survey, we suggest adding in
‘‘Talked with your doctor’’ as an answer
choice among the options for sources of
information. Physicians are a major
source of product information and
‘‘talking with a doctor’’ are what drug
advertisements generally suggest to
consumers, so inclusion of this option is
appropriate.
Response to Comment 1j: We agree
that health care providers are one
important source for adequate
provision. Nonetheless, the current
investigation is designed to assess the
utility of the various options for
disseminating additional product risk
information, and speaking with a health
care provider is not under reevaluation.
Consequently, we ask participants to
respond under the premise that they are
seeking information prior to
approaching a health care professional.
Comment 1k (verbatim): As currently
worded, question 13 has the possibility
to lead the respondent by stating that
‘‘Some people change their approach
. . .’’ The current wording could bias
respondents to be overly critical. [The
commenter] would suggest either
changing the question or adding in a
new question prior to the current Q 13
to ascertain a rating of the level of
privacy offered by each information
source. This new question would
provide the respondents current
perceptions of privacy, something
which the survey omits. For example, a
newly worded question could be as
follows: ‘‘On a 5-point scale, in which
1 is Very Low Privacy and 5 is Very
High Privacy, what is the level of
privacy offered by each of the following
information sources when getting full
prescription-drug product information?’’
The current question 13 could then
follow this question.
Response to Comment 1k: Our
intention with this question (and its
wording) is to facilitate comparisons
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between baseline likelihood to use the
various sources of adequate provision
(see Q3) and likelihood to use the
various options in cases where privacy
is a concern. By stating ‘‘Some people
change their approach . . . ’’ we hoped
to give participants permission to
respond differently than they had in the
earlier question, if they felt a change in
their response was appropriate.
Nonetheless, we recognize that this
language could be leading and so we
have eliminated it from our revised
questionnaire. We are hopeful that the
revised question will still allow us to
draw the intended comparisons.
Comment 1l (verbatim): In addition to
our concerns regarding the goal of the
experiment questions (E 1–E2), the
purpose in the variations of the major
statements is unclear. The objectives
state that varying opening statements (E
I) are the secondary focus of this
research, not major statements. We
suggest choosing an appropriate major
statement in the pre-tests and then using
that in the broader fielding of the study.
Response to Comment 1l: The
purpose of varying the major statements
was to add to the generalizability of our
findings. The revised version of our
survey adopts this commenter’s
recommendation and includes only one
version of the major statement.
Comment 1m (verbatim): We suggest
adding a ‘‘Don’t know’’ option for EI–E3
as respondents might not be able to
assess how long lasting, serious, or
likely the side effects would be. The
current range of answer choices may
force inaccurate or speculative
responses; a ‘‘Don’t Know’’ answer
would be a legitimate choice and
informative for the study. Our standard
practice is to provide a ‘‘Don’t Know’’
option whenever it could be a valid
answer.
Response to Comment 1m: The items
used in this section were developed
through scale validation research and
thus we prefer to retain them in their
original form. Nonetheless, we have
added labels to each point on the scales
in response to Comment 1h, and the
midpoint (‘‘neutral’’) of these scales may
be treated similarly to a ‘‘Don’t Know’’
option.
Comment 2a, regulations.gov tracking
number 1k1–8xz6–t7bj (verbatim): The
practical utility of this study is unclear.
Currently, industry is broadly executing
on making labeling available via both IN
[internet] and non-IN based options to a
diverse audience. Historically, there
were many options available to enable
patients to locate drug-related labeling,
even before the IN became available.
When added to the three options
mentioned above, the IN provides
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patients with a fourth option, one that
is increasingly at a patient’s fingertip via
tablet, cell phone, or laptop. Hence, it is
unclear how results from this study will
enhance consumer access to information
or be applied to modify current
practices.
Response to Comment 2a: As stated in
the 60-day FRN (82 FR 26934), our
intention is to assess the utility of the
various sources of adequate provision
among a sample of low to non-internet
users. For example, it may not be
necessary to include both a print ad
reference and toll free number reference.
We have received inquiries along these
lines from stakeholders. Additionally,
we may find that low to non-internet
users would be willing to use the
internet themselves or with the help of
a friend or family member if noninternet options were unavailable. This
research will provide insights to inform
our approach to the adequate provision
requirement.
Comment 2b (verbatim): The sampling
frame focuses on those ‘‘not likely to
have IN access’’ as defined by FDA and
includes older adults, with less than a
high school education, who make less
than $30,000/year, and live in rural
areas; it also includes bilingual Spanish
speakers. Yet it is not clear how persons
not likely to have IN access would be
able to inform FDA about how they
would behave if they had access to the
IN and other options were not available.
Rather than speculate about how their
behavior might change if faced with IN
access and no other options, it would be
better to design a study that focuses on
understanding the effectiveness of nonIN options to provide information in
general.
Response to Comment 2b: To be clear,
we intend to sample from the above
referenced populations separately, as
opposed to sampling from one
population with all these attributes.
As indicated in the 60-day FRN (82
FR 26934), we do intend to assess the
effectiveness of non-internet options.
However, as a secondary objective, it
seems to us worthwhile to also consider
how low to non-internet users may
respond if non-internet options were
unavailable. As another commenter
indicates (see Comment 3b), internet use
is widespread and technological sources
of adequate provision may suffice (when
combined with recommendation to
speak to a health care professional). We
hope to shed light on this question
through our research.
Comment 2c (verbatim): Questions 1–
5 and 13: The current choices do not
assess the respondent’s willingness or
ability to visit their healthcare provider
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to obtain the approved package labeling.
This option should be added.
Response to Comment 2c: Please refer
to Comment 1j and our associated
response.
Comment 2d (verbatim): Question 15:
Given the length of the package labeling
making it impractical to receive the
information verbally, it would be likely
that callers would prefer an option, Mail
the prescription drug product
information to me, even when faced
with privacy concerns.
Response to Comment 2d: This
response option has been added to our
revised questionnaire.
Comment 2e (verbatim): Instructions
for Experimental Manipulations, E1/E2:
E2 includes three different versions of
the major statements. If the intended
outcome of this component of the
research is to evaluate the influence of
these opening statements within a
sample of low to non-IN users, and risk
perceptions will be assessed as
influenced by opening statements that
could be used to introduce risks, it is
unclear why the major statements (E2:
A, B, C) differ when assessing whether
or not opening statements (E1: 1, 2, 3)
influence risk perceptions.
Response to Comment 2e: Please refer
to Comment 1l and our associated
response.
Comment 3a, regulations.gov tracking
number 1k1–8y13–m7td: FDA is
conducting too much research without
‘‘articulating a clear, overarching
research agenda or adequate rationales
on how the proposed research related to
the goal of further protecting public
health.’’ ‘‘The Agency should 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.’’
Response to Comment 3a: 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 health care providers can
make informed decisions about
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
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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 FRNs and peerreviewed publications produced by our
office. The website maintains
information on all studies we have
conducted, dating back to a DTC survey
conducted in 1999.
Comment 3b; the commenter provided
a summary of their comments followed
by a more detailed description of the
same comments. For brevity, only the
summary of comments (verbatim) is
provided below. Full comments may be
accessed at regulations.gov via tracking
number 1k1–8y13–m7td.
First, FDA’s proposed research
appears to offer limited practical utility
in several ways:
• The Agency proposes research
based on an outdated, 18-year-old
guidance document that fails to
recognize adequately the societal and
technological changes of the last two
decades, including the many options
now available to satisfy the adequate
provision requirement.
• FDA regulations require adequate,
not complete, provision. Given the
prevalence of the internet and
smartphones across all U.S.
demographic groups, we believe that
biopharmaceutical manufacturers can
satisfy adequate provision simply
through information dissemination at
health care provider offices or
pharmacies, a 1–800 number, and/or the
internet.
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• FDA fails to recognize existing
research that demonstrates the
pervasiveness of the internet and
smartphones in the United States. This
research limits any potential utility of
the proposed study. The Agency’s
proposal mainly relies on data from six
to 16 years ago. The smartphone is
dramatically increasing internet
connectivity for traditionally low to
non-internet use demographic groups.
Further, FDA does not acknowledge that
older adults (with or without internet
access) tend to rely on others, including
family and health care personnel, for
drug information.
Response to Comment 3b: FDA
recognizes that a large proportion of the
U.S. population utilizes the internet. It
is specifically for this reason that we are
conducting research to inform our
current guidance recommendations.
Nonetheless, as indicated in the 60-day
FRN (82 FR 26934), certain segments of
the U.S. population are unlikely to use
the internet. For example, 41 percent of
individuals aged 65 and older do not
use the internet, yet are the largest
consumers of prescription drugs. As the
commenter states, some individuals
from this demographic rely on others to
obtain drug information, but this
perspective does not take into account
the desire for privacy in obtaining such
information, or the availability of these
other individuals. The proposed
research will provide empirical
assessment of how vulnerable
populations such as older adults may be
impacted by changes to regulatory
policy.
The assertion that the requirement for
‘‘adequate’’ provision can be fulfilled by
disseminating information through
‘‘health care provider offices or
pharmacies, a 1–800 number, and/or the
internet’’ may be correct, and FDA
invites the commenter to submit data
supportive of this perspective. FDA
maintains a science-based approach to
its regulatory decisionmaking, and as
such, the current research is designed to
inform our thinking in this area.
We disagree with the assertion that
our proposal relied mainly on data from
6 to 16 years ago. A more careful review
of the FRN will show that our key
citations range from 2013 to the present.
By necessity, we also cite the relevant
1999 guidance, as well as a few other
references which speak to general
patterns of human behavior.
Comment 3c (summarized): The
commenter recommends removal of the
second proposed study concerning
opening statements to frame risk
information on the grounds that (a)
questions regarding adequate provision
may impact responding in the second
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proposed study and (b) a low to noninternet user sample is not sufficiently
diverse.
Response to Comment 3c: Please refer
to Comment 1d and our associated
response.
Comment 3d (summarized): The
commenter provides several
recommendations pertaining to subject
enrollment. The first comment on this
topic ‘‘recommends that FDA ensure
that the subject sample includes
representative portions of alleged
subpopulations of low to non-internet
users, including older adults, low
socioeconomic status individuals,
people with less than a high school
education, and individuals living in
rural areas.’’
Response to Comment 3d: To obtain
a nationally representative sample of the
target population of adult low to noninternet users who are also prescription
drug users, the research team will use a
sample sourced from a dual frame. This
approach involves using a random digit
dialing sample that has been preidentified as being a non-internet
household (or having at least one noninternet using member). The
demographics within this frame of low
to non-internet users fall within the
expected range of subpopulations with
respect to older adults, low
socioeconomic status, and people with
less than a high school education or
some college. The sample is designed to
represent the adult U.S. population
(including Hawaii and Alaska) and will
include rural areas. This sample
solution is ideal because it relies on a
dual-frame probability-sample, yet has
the advantage of already knowing who
are likely to be low to non-internet
users.
Comment 3e (summarized): In the
second comment pertaining to subject
enrollment, the commenter recommends
that participants reached via
smartphone not be included in the
sample.
Response to Comment 3e: We agree
that smartphone use is increasing
internet access for traditionally low to
non-internet use demographics and
appreciate the importance of confirming
our sample are low to non-internet
users. Notwithstanding, we are
screening based on self-reported
internet browsing, such that individuals
who report browsing the internet three
or more times in the past month—
regardless of medium—will not be
asked to participate in the survey.
Further, the current approach supports
that only households which have been
pre-identified as having at least one
non-internet using member will be
screened for participation, adding an
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additional layer of assurance that only
low to non-internet users will be asked
to participate in the questionnaire.
Comment 3f (summarized): In the
third comment pertaining to subject
enrollment, the commenter recommends
collecting data in-person because data
collection via phone may impact
responses regarding the 1–800 number.
Response to Comment 3f: We
acknowledge that in-person data
collection would add value to the
proposed research but cost implications
bar us from pursuing it. We will
consider implications of our protocol for
survey administration when interpreting
results.
Comment 3g (summarized): In the
final comment pertaining to subject
enrollment, the commenter indicates
agreement with the proposed approach
to screen for past and present
prescription drug use in order to ensure
a motivated sample.
Response to Comment 3g: We
appreciate the support for this planned
approach.
Comment 3h: Remaining comments
pertain to the draft study questionnaire.
The first comment on this topic suggests
that certain items may lead participants
to respond in certain ways. Examples
(abbreviated for brevity) include:
• The instructions for Q3 of the Main
Study Survey state: ‘‘Prescription drugs
advertised on television provide only
limited product information. For
example, not all of the product’s risks
and side effects are described. Imagine
you wanted to obtain additional product
information before seeing your health
care provider.’’ As previously
mentioned, while research ‘‘reveal[s]
consumers engage in some prescription
drug information seeking . . . most
takes place after visiting a doctor, not
before’’ (emphasis added [by
commenter]). The question prompt does
not reflect common practice and may
lead to a misleading answer. Both the
prompt and question itself should be
revised to reflect that subjects may look
specifically to their healthcare provider
for this information.
• Further, the Main Study Survey
introduces questions about privacy by
stating: ‘‘Next, I will ask about privacy
concerns you might have when getting
full prescription-drug product
information.’’ Such phrasing suggests
that a subject should have ‘‘concerns’’ in
this context. Q12 asks subjects to ‘‘rate
the extent to which you value privacy
. . . ’’ (emphasis added [by
commenter]). Such language suggests
subjects should indeed ‘‘value’’ privacy.
• The prompt for Q13 is also leading
by introducing the question with:
‘‘Some people change their approach to
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getting information about prescription
drugs when privacy is a concern.’’
Response to Comment 3h: As the
commenter indicates in the first
comment, there is evidence to suggest
that consumers seek information both
before and after visiting with a health
care professional. Moreover, the
ubiquity of DTC prescription drug
advertising suggests that pharmaceutical
companies are well aware of the
advantages of introducing products to
consumers prior to the consumer-health
care provider interaction. The proposed
research is concerned with how low to
non-internet users access full product
information prior to approaching a
health care professional. As such, we
need to provide this context to
participants before they can respond
regarding their interest and experiences
within this context. We disagree that
our presentation here is leading as the
commenter describes, and consequently,
we retain our current approach with
these questions.
Likewise, in response to the second
comment, we cannot inquire about
privacy concerns without referencing
privacy concerns. Nonetheless, we have
revised Q12 to read ‘‘How much value
do you place on privacy . . .’’
In response to the third comment,
please see Comment 1k and our
associated response.
Comment 3i (summarized): The
second comment pertaining to the study
questionnaire concerned definitions and
terms. The commenter states, ‘‘The
questionnaires do not define certain key
terms (e.g., side effect, risk, serious,
reference, full product information,
partial information). Subjects may
interpret these terms based on different
standards. For example, for Q16 of the
Main Study Survey, FDA may wish to
provide context for what could
constitute ‘‘complete prescription-drug
product information. FDA should
consider providing user-friendly
definitions or terms throughout the
questionnaires.’’
Response to Comment 3i: We
appreciate the importance of ensuring
uniform interpretation of terms. In
cognitive interviews preceding this
work, we assessed whether individuals
interpret key terms similarly and made
revisions where necessary. We have also
considered the additional time (burden)
that would be required to complete the
survey if every term were defined in the
pretest and main study. We have
targeted to keep the current information
collection to under 15 minutes per
respondent. With these factors in mind,
we have chosen not to provide
additional definitions.
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Comment 3j (summarized): The third
comment pertaining to the study
questionnaire concerned the sliding
scale format of certain questions: ‘‘FDA
should consider replacing the sliding
scale format (especially for Q1–Q3 of
the Main Study Survey) with a binary or
‘‘Yes-No-Neutral’’ scheme. The slidingscale format is at times confusing in
form, inappropriately frames certain
questions, and could potentially
introduce error.’’
Response to Comment 3j: Please see
Comment 1i and our associated
response.
Comment 3k: The final comments
pertaining to the questionnaire were
characterized by the commenter as
miscellany. The first comment read, ‘‘As
previously mentioned in Section II.A,
E1–E3 of the Main Study Survey should
be eliminated. (reference omitted)
Similarly, we would also recommend
that elimination of ‘‘Other Questions of
Interest’’ (Q16–Q20) of the Main Study
Survey, which appear to have limited
applicability to the study of adequate
provision.’’
Response to Comment 3k: In regards
to E1–E3, please see Comment 1d and
our associated response. In regards to
Q16–Q20, all these items provide
potentially valuable information
relevant to the topic of interest, and
therefore we prefer to retain them.
Comment 3l: The next comment
characterized as miscellany read: ‘‘The
Study Screener introduction should not
state that the survey is being conducted
‘‘on behalf of the Food and Drug
Administration’’ and that study results
‘‘will be used in the consideration of
important policy decisions.’’ These
statements could potentially influence
subjects’ responses to study questions.
Instead, this information might be
provided at the conclusion of the
study.’’
Response to Comment 3l: Such
statements are intended to communicate
the legitimacy of the study to potential
participants, and thus validate
participation. Upon further
consideration, we concur that these
statements may potentially influence
responses, and we have removed them.
Comment 3m: The next comment
characterized as miscellany read: ‘‘The
Main Study Survey should include a
similar question to Q5, inquiring about
if a toll-free number was not available.’’
Response to Comment 3m: We
acknowledge the potential value of this
question, but given the key objectives of
the research, and concerns about
participant burden, we decline to adopt
this recommendation. We have targeted
to keep the current information
collection to under 15 minutes per
respondent.
Comment 3n: Continuing under the
miscellany category: ‘‘There are several
questions of the Main Study Survey
(e.g., questions associated with
Instructions_2) that inquire about a
subject’s preferences regarding the
provision of product labeling. We do not
understand the utility of these
questions. Again, FDA’s regulation
concerns adequate, not preferred,
provision.’’
Response to Comment 3n: In deciding
upon potential revisions, we have
considered both this commenter’s views
and those of another commenter (see
Comment 1g) which recommend
10861
utilizing consumer preferences as an
independent variable. We agree with the
first commenter that consumer
preferences are crucial for
understanding the issues at hand as
articulated in the 60-day FRN (82 FR
26934). Consequently, we have retained
these questions.
Comment 3o: The next miscellany
comment read: ‘‘Certain questions, like
Q4 and Q5 of the Main Study Survey,
should include the option of asking a
health care provider. Such a choice is
part of FDA’s adequate provision
recommendation in the Guidance
Document.’’
Response to Comment 3o: Please see
Comment 1j and our associated
response.
Comment 3p: The next miscellany
comment read: ‘‘The ordering of the
questions (web page, toll-free number,
print ad) of the Main Study Survey
could potentially introduce bias. FDA
may want to randomize the ordering of
questions (e.g., Q6–Q11) to eliminate
such bias.’’
Response to Comment 3p: We accept
this recommendation and will
randomize the ordering of questions Q6
to Q11 pertaining to web page, toll-free
number, and print ad.
Comment 3q: The final comment
characterized as miscellany read: ‘‘Q15
of the Main Study Survey should
include an option of mailing
information to the customer.’’
Response to Comment 3q: Please see
Comment 2d and our associated
response.
FDA estimates the burden of this
collection of information as follows:
TABLE 1—ESTIMATED REPORTING BURDEN 1
Number of
respondents
Activity
Number of
responses per
respondent
Pretest Screener ..........................................................
Pretest Survey ..............................................................
Main Study Screener ....................................................
Main Study Survey .......................................................
63
25
4,990
1,996
1
1
1
1
63
25
4,990
1,996
Total Hours ............................................................
........................
........................
........................
1 There
.05
.25
.05
.25
Total hours
(3 minutes) ......
(15 minutes) ....
(3 minutes) ......
(15 minutes) ....
3.15
6.25
249.5
499
...............................
757.9
are no capital costs or operating and maintenance costs associated with this collection of information.
II. References
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Average
burden per
response
Total annual
responses
The following references are on
display in the Dockets Management
Staff (see ADDRESSES) and are available
for viewing by interested persons
between 9 a.m. and 4 p.m., Monday
through Friday; they are also available
electronically at https://
www.regulations.gov. FDA has verified
the website addresses, as of the date this
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17:47 Mar 12, 2018
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document publishes in the Federal
Register, but websites are subject to
change over time.
1. U.S. Department of Health and Human
Services, Food and Drug Administration
(1999). ‘‘Guidance for Industry:
Consumer-Directed Broadcast
Advertisements.’’ Available at https://
www.fda.gov/RegulatoryInformation/
Guidances/ucm125039.htm.
2. Anderson, M. and A. Perrin (2016). ‘‘13%
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Frm 00039
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Sfmt 4703
of Americans Don’t Use the internet:
Who Are They?’’ Pew Research Center.
Available at https://
www.pewresearch.org/fact-tank/2016/
09/07/some-americans-dont-use-theinternet-who-are-they/.
3. U.S. Department of Commerce, U.S.
Census Bureau (2013). ‘‘Computer and
internet Use in the United States:
Population Characteristics.’’ Available at
https://www.census.gov/prod/2013pubs/
p20-569.pdf.
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Federal Register / Vol. 83, No. 49 / Tuesday, March 13, 2018 / Notices
4. Fox, S. and L. Rainie (2002). ‘‘Vital
Decisions: How internet Users Decide
What Information to Trust When They or
Their Loved Ones Are Sick. Pew internet
& American Life Project.’’ Available at
https://www.pewinternet.org/2002/05/22/
main-report-the-search-for-onlinemedical-help/.
5. DeLorme, D.E., J. Huh, and L.N. Reid
(2011). ‘‘Source Selection in Prescription
Drug Information Seeking and
Influencing Factors: Applying the
Comprehensive Model of Information
Seeking in an American Context.’’
Journal of Health Communication, 16:
pp. 766–787.
6. O’Donoghue, A.C., H.W. Sullivan, K.J.
Aikin, et al. (2014). ‘‘Important Safety
Information or Important Risk
Information? A Question of Framing in
Prescription Drug Advertisements.’’
Therapeutic Innovation and Regulatory
Science, 48: pp. 305–307. doi: 10.1177/
2168479013510306
7. Kahneman, D. (2011). Thinking, Fast and
Slow. New York, NY: Farrar, Straus, and
Giroux.
8. Rothman, A.J. and P. Salovey (1997).
‘‘Shaping Perceptions To Motivate
Healthy Behavior: The Role of Message
Framing.’’ Psychological Bulletin, 121:
pp. 3–19.
9. Armstrong, K., J.S. Schwartz, G. Fitzgerald,
et al. (2002). ‘‘Effect of Framing as Gain
Versus Loss on Understanding and
Hypothetical Treatment Choices:
Survival and Mortality Curves.’’ Medical
Decision Making, 22: pp. 76–83.
10. National Center for Health Statistics
(2016). ‘‘Health, United States, 2015:
With Special Feature on Racial and
Ethnic Health Disparities.’’ Hyattsville,
MD.
11. Brick, J.M. and D. Williams (2013).
‘‘Explaining Rising Nonresponse Rates in
Cross-Sectional Surveys.’’ The Annals of
the American Academy of Political and
Social Science, 645: pp. 36–59.
12. Groves, R.M. (2006). ‘‘Nonresponse Rates
and Nonresponse Bias in Household
Surveys.’’ Public Opinion Quarterly, 70:
pp. 646–675.
13. Betts, K.R., V. Boudewyns, K.J. Aikin, C.
Squire, et al. (2017). ‘‘Serious and
Actionable Risks, Plus Disclosure:
Investigating an Alternative Approach
for Presenting Risk Information in
Prescription Drug Television
Advertisements.’’ Research in Social &
Administrative Pharmacy. doi: 10.1016/
j.sapharm.2017.07.015.
title ‘‘Transfer of a Premarket
Notification.’’ Also include the FDA
docket number found in brackets in the
heading of this document.
FOR FURTHER INFORMATION CONTACT:
Amber Sanford, Office of Operations,
Food and Drug Administration, Three
White Flint North, 10A–12M, 11601
Landsdown St., North Bethesda, MD
20852, 301–796–8867, PRAStaff@
fda.hhs.gov.
Dated: March 7, 2018.
Leslie Kux,
Associate Commissioner for Policy.
[FR Doc. 2018–04996 Filed 3–12–18; 8:45 am]
BILLING CODE 4164–01–P
Food and Drug Administration
In
compliance with 44 U.S.C. 3507, FDA
has submitted the following proposed
collection of information to OMB for
review and clearance.
[Docket No. FDA–2014–D–1837]
Transfer of a Premarket Notification
Agency Information Collection
Activities; Submission for Office of
Management and Budget Review;
Comment Request; Transfer of a
Premarket Notification
OMB Control Number 0910-New
SUPPLEMENTARY INFORMATION:
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
AGENCY:
Food and Drug Administration,
HHS.
ACTION:
Notice.
The Food and Drug
Administration (FDA) 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 April 12,
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
SUMMARY:
The draft guidance ‘‘Transfer of a
Premarket Notification (510(k))
Clearance—Questions and Answers’’ is
intended to provide information on how
to notify FDA of the transfer of a 510(k)
clearance from one person to another,
and the procedures FDA and industry
should use to ensure public information
in FDA’s databases about the current
510(k) holder for a specific device(s) is
accurate and up-to-date. The proposed
information collection seeks to provide
information to notify FDA of the transfer
of a premarket notification (510(k))
clearance.
The respondents to this collection of
information are 510(k) holders and
parties claiming to be 510(k) holders.
In the Federal Register of December
22, 2014 (79 FR 76331), FDA published
a 60-day notice requesting public
comment on the proposed collection of
information. While FDA received
comments on the draft guidance
document, none were related to the
information collection.
FDA estimates the burden of this
collection of information as follows:
TABLE 1—ESTIMATED ANNUAL REPORTING BURDEN 1
Number of
respondents
Activity
Number of
responses per
respondent
Average
burden per
response
Total annual
responses
Total hours
4,080
1
4,080
0.25
1,020
2,033
1
2,033
4
8,132
Total ..............................................................................
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Voluntary reporting of transfer of 510(k) clearance on
FDA’s Unified Registration and Listing System (FURLS)
(outside of annual listing reporting requirement) .............
Submission of 510(k) transfer documentation when more
than one party lists the same 510(k) ...............................
........................
........................
........................
........................
9,152
1 There
are no capital costs or operating and maintenance costs associated with this collection of information.
FDA estimates that 78 percent of
510(k)s are listed outside of the annual
registration cycle based on numbers in
the FURLS database from fiscal year
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2009 through fiscal year 2014. Fiscal
year 2008 was left out of this cohort as
it was the first year that registrants were
required to report the 510(k) number on
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their listings and, therefore, an
unusually high number of listings were
created. An average of 5,231 510(k)s
have been listed each year since 2008.
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Agencies
[Federal Register Volume 83, Number 49 (Tuesday, March 13, 2018)]
[Notices]
[Pages 10855-10862]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2018-04996]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Food and Drug Administration
[Docket No. FDA-2017-N-0493]
Agency Information Collection Activities; Submission for Office
of Management and Budget Review; Comment Request; Utilization of
Adequate Provision Among Low to Non-Internet Users
AGENCY: Food and Drug Administration, HHS.
ACTION: Notice.
-----------------------------------------------------------------------
SUMMARY: The Food and Drug Administration (FDA) 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: Submit either electronic or written comments on the collection
of information by April 12, 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 ``Utilization of Adequate Provision Among Low to Non-internet
Users.'' 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:
I. Background
In compliance with 44 U.S.C. 3507, FDA has submitted the following
proposed collection of information to OMB for review and clearance.
Utilization of Adequate Provision Among Low to Non-Internet Users
OMB Control Number 0910-NEW
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 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.
Prescription drug advertising regulations require that broadcast
advertisements containing product claims present the product's major
side effects and contraindications in either audio or audio and visual
parts of the advertisement (21 CFR 202.1(e)(1)); this is often called
the major statement. The regulations also require that broadcast
advertisements contain a brief summary of all necessary information
related to side effects and contraindications or that ``adequate
provision'' be made for dissemination of the approved package labeling
in connection with the broadcast (Sec. 202.1(e)(1)). The requirement
for adequate provision is generally fulfilled when a firm gives
consumers the option of obtaining FDA-required labeling or other
information via a toll-free telephone number, through print
advertisements or product brochures, through information disseminated
at health care provider offices or pharmacies, and through the internet
(Ref. 1). The purpose of including all four elements is to ensure that
most of a potentially diverse audience can access the information.
Internet accessibility is increasing, but many members of certain
demographic groups (e.g., older adults, low socioeconomic status
individuals) nonetheless report that the internet is inaccessible to
them either as a resource or due to limited knowledge, and so a website
alone may not adequately serve all potential audiences (Refs. 2 and 3).
Similarly, some consumers may prefer to consult sources other than a
health care provider to conduct initial research, for privacy reasons
or otherwise (Refs. 1, 4, and 5). In light of these considerations, the
toll-free number and print ad may provide special value to consumers
who are low to non-internet users and/or those who value privacy when
conducting initial research on a medication, though not necessarily
unique value relative to one another. As such, a primary purpose of
this research is to examine the value of including both the toll-free
number and print ad as part of adequate provision in direct-to-consumer
(DTC) prescription drug broadcast ads. We will also investigate the
ability and willingness of low to non-internet users to make use of
internet resources if other options were unavailable. These questions
will be assessed using a survey methodology administered via telephone.
In addition, building on concurrent FDA research regarding drug
risk
[[Page 10856]]
information,\1\ we will assess risk perceptions as influenced by
opening statements that could be used to introduce risks in DTC
prescription drug broadcast ads. Opening statements may be used to
frame risk information that follows. As such, consumers may interpret
the likelihood, magnitude, and duration of risks differently depending
on how those risks are introduced (Refs. 6-9). The intended outcome of
this component of the research is to evaluate the influence of these
opening statements within a sample of low to non-internet users. This
research question will be addressed using a 1 x 3 between-subjects
experimental design embedded in the previously mentioned survey. This
particular component of the research will serve as an exploratory test
intended to inform FDA's future research efforts.
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\1\ https://www.federalregister.gov/documents/2015/01/13/2015-00269/agency-information-collection-activities-submission-for-office-of-management-and-budget-review.
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Sampling Frame. Given that older adults (i.e., those aged 65 and
older) are among the largest consumers of prescription drugs (Ref. 10)
and that approximately 41 percent of older adults do not use the
internet (Ref. 2), investigating use of adequate provision in this
population is especially important. Also of concern, 34 percent of
those with less than a high school education do not use the internet,
23 percent of individuals with household incomes lower than $30,000 per
year do not use the internet, and 22 percent of individuals living in
rural areas do not use the internet (Ref. 2). These estimates capture
non-internet users, and so consideration of low-internet users warrants
additional concern. Consistent with these citations, the present
research will utilize a nationally representative sample of low to non-
internet users from these and other relevant demographic groups.
Data collection will utilize a random digit dialing (RDD) sample
that has been pre-identified as being a non-internet household, or
having at least one non-internet using member. This sample solution is
ideal because it relies on a dual-frame (landline and cell phone)
probability sample, yet has the advantage of prior knowledge of those
who are likely to be low to non-internet users (re-screening will
verify this). The Social Science Research Solutions (SSRS) Omnibus,
within which this survey will be embedded, utilizes a sample designed
to represent the entire adult U.S. population, including Hawaii and
Alaska, and including bilingual (Spanish-speaking) respondents. As
reflected in the overall population of low to non-internet users, we
intend to collect a small sample of Spanish-speaking individuals, which
comprise a subsample of the regular landline and cell phone RDD
sampling frames. We will also screen for past and present prescription
drug use in order to ensure a motivated sample.
Survey Protocol. This survey will be conducted by telephone on
landline and cell phones, with an expected 50 to 60 percent of
interviews conducted on cell phones. Interviewing for the pretest and
main study will be conducted via SSRS's computer-assisted telephone
interviewing system. We expect to achieve a roughly 40 percent survey
completion rate from the pre-identified respondents to be sampled in
this study, given an 8-week field period and a maximum of 10 attempts
to reach respondents. The original SSRS Omnibus from which this sample
is derived receives an approximately 8 to 12 percent response rate.
These are not uncommon response rates for high-quality surveys and have
been found to yield accurate estimates (Refs. 11 and 12).
As communicated earlier, the primary focus of interview questions
concern the ability and willingness of low to non-internet users to
utilize the various components of adequate provision, particularly the
toll-free number and print ad components. In addition to these
questions, experimental manipulations will be embedded in the survey as
an exploratory test to assess the impact of opening statements that
could be used to introduce risks in DTC prescription drug broadcast
ads, which is a related concept. To form the experimental
manipulations, participants will be presented with a statement of major
risks and side effects (``the major statement'') drawn from a real
prescription drug product, but modified to include only serious and
actionable risks. Preceding this description of major risks will be one
of three opening statements: (1) ``[Drug] can cause severe, life
threatening reactions. These include . . .''; (2) ``[Drug] can cause
serious reactions. These include . . .''; or (3) ``[Drug] can cause
reactions. These include . . .'' All risk statements will conclude with
the following language: ``This is not a full list of risks and side
effects. Talk to your doctor and read the patient labeling for more
information.'' Participants will be randomly assigned to experimental
condition, and all manipulations will be pre-recorded to allow for
consistent administration. Following exposure to these manipulations,
participants will respond to several questions designed to assess risk
perceptions.
Before the main study, we will execute a pretest with a sample of
25 participants from the same sampling frame as outlined. The pretest
questionnaire will take approximately 15 minutes to complete. The goal
of the pretest will be to assess the questionnaire's format and the
general protocol to ensure that the main study is ready for execution.
To test the protocol among the target groups, we will seek to recruit a
mix of participants based on demographic and other characteristics of
interest. We do not plan to use incentives for the pretest or main
study portions of this survey. However, upon request, cell phone
respondents may be offered $5 to cover the cost of their cell phone
minutes.
Questionnaire development is an iterative process and so the main
study questionnaire will include any changes from pretesting, as well
as other outcomes, such as OMB and public comments. Like pretesting,
the main study questionnaire should take approximately 15 minutes to
complete. Based on a power analyses, the main study sample will include
approximately 1,996 participants. This sample size will allow us to
draw statistical comparisons between the various demographic groups in
the sample.
Measurement and Planned Analyses. Consistent with the larger
purpose of the study, survey questions will examine access, technical
ability, and willingness to use adequate provision options; preference
for and experience using adequate provision options; privacy concerns;
and potentially other secondary questions of interest. In addition, to
assess the impact of the experimental manipulations, survey questions
will assess perceived risk likelihood, perceived risk magnitude, and
perceived risk duration. Demographic information will also be
collected. To examine differences between experimental conditions, we
will conduct inferential statistical tests such as analysis of
variance. A copy of the draft questionnaire is available upon request.
In the Federal Register of June 12, 2017 (82 FR 26934), FDA
published a 60-day notice requesting public comment on the proposed
collection of information. Comments received along with our responses
to the comments are provided below. 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
[[Page 10857]]
not fully captured by our paraphrasing. The following acronyms are used
here: FRN = Federal Register Notice; DTC = direct-to-consumer; FDA and
``The Agency'' = Food and Drug Administration; OPDP = FDA's Office of
Prescription Drug Promotion.
Comment 1a, regulations.gov tracking number 1k1-8y16-3nqx
(summarized): The commenter expresses support for FDA's collective
research and welcomes the Agency's current proposed survey examining
adequate provision.
Response to Comment 1a: We appreciate and thank the commenter for
their support.
Comment 1b (verbatim): Throughout the main survey questionnaire,
some questions ask about ability to obtain information on prescription
drugs after seeing an advertisement on television. These questions
presume access to a television. If understanding this process of first
seeing an ad on TV then searching for information is the key objective,
we suggest in the screening criteria ensuring all respondents have
access to a TV and/or watch television on a regular basis.
Response to Comment 1b: We have added a screening question to
confirm that participants watch television at least occasionally.
Comment 1c (verbatim): As currently outlined, the sample frame is
relatively broad in that it includes those who possibly do not have
experience with prescription medications or experience searching for
prescription medication information. Respondents without experience in
this area could provide speculative responses to many questions, and
thus, [the commenter] suggests that they are outside of the scope. To
address this, we recommend adding a screening question or questions to
include only those who have had at least one medical condition which
has required prescription medication within the last 12 months.
Response to Comment 1c: To ensure a motivated sample, we included a
question to screen for past or present prescription drug use.
Comment 1d (verbatim): The purpose of the secondary objective of
the study pertaining to risk statements is not entirely clear. Since
the sample frame is not restricted to those who suffer from a condition
which could be helped by the mock drug, responses have the possibility
to be speculative and reflect bias of people coming in to the study
rather than what is intended. For instance, respondents who happen to
be within a population targeted by the major statements are reasonably
more likely to report a higher likelihood of experiencing a stated side
effect and reporting a higher seriousness of them, biasing experiment
responses.
Response to Comment 1d: The secondary objective of the study is
designed to assess the impact of opening statements that could be used
to introduce risks in DTC prescription drug broadcast ads. This
objective complements previously published research and adds value by
newly investigating the impact of framing statements among a sample of
low to non-internet users. Our approach involves random assignment to
experimental conditions which should lead to approximately equal
numbers of diagnosed versus undiagnosed individuals in each of the
conditions, lessening any concern about bias. Nonetheless, please
understand that this secondary objective is intended to provide a
preliminary assessment of the stated research questions for development
purposes. Procedurally, this objective will involve only a brief
presentation of a short audio broadcast followed by three questions,
allowing us to gather this valuable information with very low burden to
participants who are already engaged in our larger survey regarding
adequate provision.
Comment 1e (verbatim): Additionally, information gained from the
experimental manipulations (E-1 through E-3) will only be applicable to
hearing the opening and major statement presented over the phone,
rather than versus being read through print or online. Interpretations
and understanding of this info could differ between the media. While
this could possibly be a useful supplement to current knowledge, the
learnings will likely not be directly applicable to the other media. If
comparison of interpretation between the media is the goal of this
section, [the commenter] suggests a stand-alone study would better
address that goal rather than an addendum to this one.
Response to Comment 1e: We appreciate this limitation of our
preliminary assessment and intend to take it into consideration when
interpreting results.
Comment 1f (verbatim): Screener: The current screener terminates
cell phone users who have not browsed the internet in the past month (S
I). It is not readily apparent why this group should not participate in
the survey. We would suggest that the termination criteria be removed
from this question as it may make incremental improvement to response
rates.
Response to Comment 1f: The screener only excludes cell phone users
(T1 = 2) who choose ``don't know'' (- 98) or refuse the question (- 99)
(S1 < 0).
Comment 1g (verbatim): As is, it is unclear what an independent
variable for the questionnaire is intended to be. One possibility [the
commenter] suggests is including a question aimed at understanding the
overall preference for source of information, which would serve as the
independent variable in the study or could be combined with the ability
and access questions to make a composite variable. (e.g., ``What is
your preferred medium in which to receive prescription drug
information: Print ads for the drug; the manufacturer's phone number or
website; or asking your healthcare provider?'')
Response to Comment 1g: Please refer to the instruction set
preceding question 3. Our questionnaire attempts to learn about patient
preferences through questions about participant likelihood to seek
information via the various available sources, as well as past use,
ability, and willingness, among other constructs. We believe these
constructs to provide adequate assessment of consumer preference to
obtain additional information via the various available sources.
Moreover, we note that another commenter (see Comment 3n) takes the
position that we should not inquire about patient preferences. We have
considered both of the perspectives when deciding upon potential
revisions.
Comment 1h (verbatim): Throughout the survey, [the commenter]
suggests defining each point on the 5 point scales used to avoid
confusion by respondents. In our consumer research efforts, we
customarily use 5 point scales that are defined at each point, such as
`Excellent, Very Good, Good, Poor, and Very Poor'.
Response to Comment 1h: We concur that defining each point on 5
point scales helps mitigate confusion and have revised the
questionnaire to define each point of scales.
Comment 1i (verbatim): It seems inappropriate to use a Likert scale
to answer ``Q1: Access to sources of information'', as it would seem
access could be defined more narrowly--No access, some access, or
complete access. We suggest using the pre-test to examine this question
in particular to ensure either that the current scale is interpreted
correctly or determine an appropriate re-wording. Additionally, it
could be helpful to include the more specific options as distinct
answer choices (e.g. an option for internet at a public library and a
separate option for internet at a coffee shop) in order to provide more
granular information which could be useful to the FDA as
[[Page 10858]]
well as industry as a whole. We suggest using the pre-test to produce a
full list of options as well as any appropriate re-wordings.
Response to Comment 1i: We agree that defining access more narrowly
may be sufficient for this question and so we have adopted this
approach in our revised survey. We will also evaluate responses to this
narrowed scale in our analysis of pretest data. We also appreciate the
value of assessing locations of access; however, we consider such
questions to be of lesser relevance to our key objectives, and we have
sought to limit the duration of the survey to less than 15 minutes.
Consequently, we do not adopt this recommendation.
Comment 1j (verbatim): Throughout the survey, we suggest adding in
``Talked with your doctor'' as an answer choice among the options for
sources of information. Physicians are a major source of product
information and ``talking with a doctor'' are what drug advertisements
generally suggest to consumers, so inclusion of this option is
appropriate.
Response to Comment 1j: We agree that health care providers are one
important source for adequate provision. Nonetheless, the current
investigation is designed to assess the utility of the various options
for disseminating additional product risk information, and speaking
with a health care provider is not under reevaluation. Consequently, we
ask participants to respond under the premise that they are seeking
information prior to approaching a health care professional.
Comment 1k (verbatim): As currently worded, question 13 has the
possibility to lead the respondent by stating that ``Some people change
their approach . . .'' The current wording could bias respondents to be
overly critical. [The commenter] would suggest either changing the
question or adding in a new question prior to the current Q 13 to
ascertain a rating of the level of privacy offered by each information
source. This new question would provide the respondents current
perceptions of privacy, something which the survey omits. For example,
a newly worded question could be as follows: ``On a 5-point scale, in
which 1 is Very Low Privacy and 5 is Very High Privacy, what is the
level of privacy offered by each of the following information sources
when getting full prescription-drug product information?'' The current
question 13 could then follow this question.
Response to Comment 1k: Our intention with this question (and its
wording) is to facilitate comparisons between baseline likelihood to
use the various sources of adequate provision (see Q3) and likelihood
to use the various options in cases where privacy is a concern. By
stating ``Some people change their approach . . . '' we hoped to give
participants permission to respond differently than they had in the
earlier question, if they felt a change in their response was
appropriate. Nonetheless, we recognize that this language could be
leading and so we have eliminated it from our revised questionnaire. We
are hopeful that the revised question will still allow us to draw the
intended comparisons.
Comment 1l (verbatim): In addition to our concerns regarding the
goal of the experiment questions (E 1-E2), the purpose in the
variations of the major statements is unclear. The objectives state
that varying opening statements (E I) are the secondary focus of this
research, not major statements. We suggest choosing an appropriate
major statement in the pre-tests and then using that in the broader
fielding of the study.
Response to Comment 1l: The purpose of varying the major statements
was to add to the generalizability of our findings. The revised version
of our survey adopts this commenter's recommendation and includes only
one version of the major statement.
Comment 1m (verbatim): We suggest adding a ``Don't know'' option
for EI-E3 as respondents might not be able to assess how long lasting,
serious, or likely the side effects would be. The current range of
answer choices may force inaccurate or speculative responses; a ``Don't
Know'' answer would be a legitimate choice and informative for the
study. Our standard practice is to provide a ``Don't Know'' option
whenever it could be a valid answer.
Response to Comment 1m: The items used in this section were
developed through scale validation research and thus we prefer to
retain them in their original form. Nonetheless, we have added labels
to each point on the scales in response to Comment 1h, and the midpoint
(``neutral'') of these scales may be treated similarly to a ``Don't
Know'' option.
Comment 2a, regulations.gov tracking number 1k1-8xz6-t7bj
(verbatim): The practical utility of this study is unclear. Currently,
industry is broadly executing on making labeling available via both IN
[internet] and non-IN based options to a diverse audience.
Historically, there were many options available to enable patients to
locate drug-related labeling, even before the IN became available. When
added to the three options mentioned above, the IN provides patients
with a fourth option, one that is increasingly at a patient's fingertip
via tablet, cell phone, or laptop. Hence, it is unclear how results
from this study will enhance consumer access to information or be
applied to modify current practices.
Response to Comment 2a: As stated in the 60-day FRN (82 FR 26934),
our intention is to assess the utility of the various sources of
adequate provision among a sample of low to non-internet users. For
example, it may not be necessary to include both a print ad reference
and toll free number reference. We have received inquiries along these
lines from stakeholders. Additionally, we may find that low to non-
internet users would be willing to use the internet themselves or with
the help of a friend or family member if non-internet options were
unavailable. This research will provide insights to inform our approach
to the adequate provision requirement.
Comment 2b (verbatim): The sampling frame focuses on those ``not
likely to have IN access'' as defined by FDA and includes older adults,
with less than a high school education, who make less than $30,000/
year, and live in rural areas; it also includes bilingual Spanish
speakers. Yet it is not clear how persons not likely to have IN access
would be able to inform FDA about how they would behave if they had
access to the IN and other options were not available. Rather than
speculate about how their behavior might change if faced with IN access
and no other options, it would be better to design a study that focuses
on understanding the effectiveness of non-IN options to provide
information in general.
Response to Comment 2b: To be clear, we intend to sample from the
above referenced populations separately, as opposed to sampling from
one population with all these attributes.
As indicated in the 60-day FRN (82 FR 26934), we do intend to
assess the effectiveness of non-internet options. However, as a
secondary objective, it seems to us worthwhile to also consider how low
to non-internet users may respond if non-internet options were
unavailable. As another commenter indicates (see Comment 3b), internet
use is widespread and technological sources of adequate provision may
suffice (when combined with recommendation to speak to a health care
professional). We hope to shed light on this question through our
research.
Comment 2c (verbatim): Questions 1-5 and 13: The current choices do
not assess the respondent's willingness or ability to visit their
healthcare provider
[[Page 10859]]
to obtain the approved package labeling. This option should be added.
Response to Comment 2c: Please refer to Comment 1j and our
associated response.
Comment 2d (verbatim): Question 15: Given the length of the package
labeling making it impractical to receive the information verbally, it
would be likely that callers would prefer an option, Mail the
prescription drug product information to me, even when faced with
privacy concerns.
Response to Comment 2d: This response option has been added to our
revised questionnaire.
Comment 2e (verbatim): Instructions for Experimental Manipulations,
E1/E2: E2 includes three different versions of the major statements. If
the intended outcome of this component of the research is to evaluate
the influence of these opening statements within a sample of low to
non-IN users, and risk perceptions will be assessed as influenced by
opening statements that could be used to introduce risks, it is unclear
why the major statements (E2: A, B, C) differ when assessing whether or
not opening statements (E1: 1, 2, 3) influence risk perceptions.
Response to Comment 2e: Please refer to Comment 1l and our
associated response.
Comment 3a, regulations.gov tracking number 1k1-8y13-m7td: FDA is
conducting too much research without ``articulating a clear,
overarching research agenda or adequate rationales on how the proposed
research related to the goal of further protecting public health.''
``The Agency should 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.''
Response to Comment 3a: 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
health care providers can make informed decisions about 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 FRNs and peer-reviewed publications
produced by our office. The website maintains information on all
studies we have conducted, dating back to a DTC survey conducted in
1999.
Comment 3b; the commenter provided a summary of their comments
followed by a more detailed description of the same comments. For
brevity, only the summary of comments (verbatim) is provided below.
Full comments may be accessed at regulations.gov via tracking number
1k1-8y13-m7td.
First, FDA's proposed research appears to offer limited practical
utility in several ways:
The Agency proposes research based on an outdated, 18-
year-old guidance document that fails to recognize adequately the
societal and technological changes of the last two decades, including
the many options now available to satisfy the adequate provision
requirement.
FDA regulations require adequate, not complete, provision.
Given the prevalence of the internet and smartphones across all U.S.
demographic groups, we believe that biopharmaceutical manufacturers can
satisfy adequate provision simply through information dissemination at
health care provider offices or pharmacies, a 1-800 number, and/or the
internet.
FDA fails to recognize existing research that demonstrates
the pervasiveness of the internet and smartphones in the United States.
This research limits any potential utility of the proposed study. The
Agency's proposal mainly relies on data from six to 16 years ago. The
smartphone is dramatically increasing internet connectivity for
traditionally low to non-internet use demographic groups. Further, FDA
does not acknowledge that older adults (with or without internet
access) tend to rely on others, including family and health care
personnel, for drug information.
Response to Comment 3b: FDA recognizes that a large proportion of
the U.S. population utilizes the internet. It is specifically for this
reason that we are conducting research to inform our current guidance
recommendations. Nonetheless, as indicated in the 60-day FRN (82 FR
26934), certain segments of the U.S. population are unlikely to use the
internet. For example, 41 percent of individuals aged 65 and older do
not use the internet, yet are the largest consumers of prescription
drugs. As the commenter states, some individuals from this demographic
rely on others to obtain drug information, but this perspective does
not take into account the desire for privacy in obtaining such
information, or the availability of these other individuals. The
proposed research will provide empirical assessment of how vulnerable
populations such as older adults may be impacted by changes to
regulatory policy.
The assertion that the requirement for ``adequate'' provision can
be fulfilled by disseminating information through ``health care
provider offices or pharmacies, a 1-800 number, and/or the internet''
may be correct, and FDA invites the commenter to submit data supportive
of this perspective. FDA maintains a science-based approach to its
regulatory decisionmaking, and as such, the current research is
designed to inform our thinking in this area.
We disagree with the assertion that our proposal relied mainly on
data from 6 to 16 years ago. A more careful review of the FRN will show
that our key citations range from 2013 to the present. By necessity, we
also cite the relevant 1999 guidance, as well as a few other references
which speak to general patterns of human behavior.
Comment 3c (summarized): The commenter recommends removal of the
second proposed study concerning opening statements to frame risk
information on the grounds that (a) questions regarding adequate
provision may impact responding in the second
[[Page 10860]]
proposed study and (b) a low to non-internet user sample is not
sufficiently diverse.
Response to Comment 3c: Please refer to Comment 1d and our
associated response.
Comment 3d (summarized): The commenter provides several
recommendations pertaining to subject enrollment. The first comment on
this topic ``recommends that FDA ensure that the subject sample
includes representative portions of alleged subpopulations of low to
non-internet users, including older adults, low socioeconomic status
individuals, people with less than a high school education, and
individuals living in rural areas.''
Response to Comment 3d: To obtain a nationally representative
sample of the target population of adult low to non-internet users who
are also prescription drug users, the research team will use a sample
sourced from a dual frame. This approach involves using a random digit
dialing sample that has been pre-identified as being a non-internet
household (or having at least one non-internet using member). The
demographics within this frame of low to non-internet users fall within
the expected range of subpopulations with respect to older adults, low
socioeconomic status, and people with less than a high school education
or some college. The sample is designed to represent the adult U.S.
population (including Hawaii and Alaska) and will include rural areas.
This sample solution is ideal because it relies on a dual-frame
probability-sample, yet has the advantage of already knowing who are
likely to be low to non-internet users.
Comment 3e (summarized): In the second comment pertaining to
subject enrollment, the commenter recommends that participants reached
via smartphone not be included in the sample.
Response to Comment 3e: We agree that smartphone use is increasing
internet access for traditionally low to non-internet use demographics
and appreciate the importance of confirming our sample are low to non-
internet users. Notwithstanding, we are screening based on self-
reported internet browsing, such that individuals who report browsing
the internet three or more times in the past month--regardless of
medium--will not be asked to participate in the survey. Further, the
current approach supports that only households which have been pre-
identified as having at least one non-internet using member will be
screened for participation, adding an additional layer of assurance
that only low to non-internet users will be asked to participate in the
questionnaire.
Comment 3f (summarized): In the third comment pertaining to subject
enrollment, the commenter recommends collecting data in-person because
data collection via phone may impact responses regarding the 1-800
number.
Response to Comment 3f: We acknowledge that in-person data
collection would add value to the proposed research but cost
implications bar us from pursuing it. We will consider implications of
our protocol for survey administration when interpreting results.
Comment 3g (summarized): In the final comment pertaining to subject
enrollment, the commenter indicates agreement with the proposed
approach to screen for past and present prescription drug use in order
to ensure a motivated sample.
Response to Comment 3g: We appreciate the support for this planned
approach.
Comment 3h: Remaining comments pertain to the draft study
questionnaire. The first comment on this topic suggests that certain
items may lead participants to respond in certain ways. Examples
(abbreviated for brevity) include:
The instructions for Q3 of the Main Study Survey state:
``Prescription drugs advertised on television provide only limited
product information. For example, not all of the product's risks and
side effects are described. Imagine you wanted to obtain additional
product information before seeing your health care provider.'' As
previously mentioned, while research ``reveal[s] consumers engage in
some prescription drug information seeking . . . most takes place after
visiting a doctor, not before'' (emphasis added [by commenter]). The
question prompt does not reflect common practice and may lead to a
misleading answer. Both the prompt and question itself should be
revised to reflect that subjects may look specifically to their
healthcare provider for this information.
Further, the Main Study Survey introduces questions about
privacy by stating: ``Next, I will ask about privacy concerns you might
have when getting full prescription-drug product information.'' Such
phrasing suggests that a subject should have ``concerns'' in this
context. Q12 asks subjects to ``rate the extent to which you value
privacy . . . '' (emphasis added [by commenter]). Such language
suggests subjects should indeed ``value'' privacy.
The prompt for Q13 is also leading by introducing the
question with: ``Some people change their approach to getting
information about prescription drugs when privacy is a concern.''
Response to Comment 3h: As the commenter indicates in the first
comment, there is evidence to suggest that consumers seek information
both before and after visiting with a health care professional.
Moreover, the ubiquity of DTC prescription drug advertising suggests
that pharmaceutical companies are well aware of the advantages of
introducing products to consumers prior to the consumer-health care
provider interaction. The proposed research is concerned with how low
to non-internet users access full product information prior to
approaching a health care professional. As such, we need to provide
this context to participants before they can respond regarding their
interest and experiences within this context. We disagree that our
presentation here is leading as the commenter describes, and
consequently, we retain our current approach with these questions.
Likewise, in response to the second comment, we cannot inquire
about privacy concerns without referencing privacy concerns.
Nonetheless, we have revised Q12 to read ``How much value do you place
on privacy . . .''
In response to the third comment, please see Comment 1k and our
associated response.
Comment 3i (summarized): The second comment pertaining to the study
questionnaire concerned definitions and terms. The commenter states,
``The questionnaires do not define certain key terms (e.g., side
effect, risk, serious, reference, full product information, partial
information). Subjects may interpret these terms based on different
standards. For example, for Q16 of the Main Study Survey, FDA may wish
to provide context for what could constitute ``complete prescription-
drug product information. FDA should consider providing user-friendly
definitions or terms throughout the questionnaires.''
Response to Comment 3i: We appreciate the importance of ensuring
uniform interpretation of terms. In cognitive interviews preceding this
work, we assessed whether individuals interpret key terms similarly and
made revisions where necessary. We have also considered the additional
time (burden) that would be required to complete the survey if every
term were defined in the pretest and main study. We have targeted to
keep the current information collection to under 15 minutes per
respondent. With these factors in mind, we have chosen not to provide
additional definitions.
[[Page 10861]]
Comment 3j (summarized): The third comment pertaining to the study
questionnaire concerned the sliding scale format of certain questions:
``FDA should consider replacing the sliding scale format (especially
for Q1-Q3 of the Main Study Survey) with a binary or ``Yes-No-Neutral''
scheme. The sliding-scale format is at times confusing in form,
inappropriately frames certain questions, and could potentially
introduce error.''
Response to Comment 3j: Please see Comment 1i and our associated
response.
Comment 3k: The final comments pertaining to the questionnaire were
characterized by the commenter as miscellany. The first comment read,
``As previously mentioned in Section II.A, E1-E3 of the Main Study
Survey should be eliminated. (reference omitted) Similarly, we would
also recommend that elimination of ``Other Questions of Interest''
(Q16-Q20) of the Main Study Survey, which appear to have limited
applicability to the study of adequate provision.''
Response to Comment 3k: In regards to E1-E3, please see Comment 1d
and our associated response. In regards to Q16-Q20, all these items
provide potentially valuable information relevant to the topic of
interest, and therefore we prefer to retain them.
Comment 3l: The next comment characterized as miscellany read:
``The Study Screener introduction should not state that the survey is
being conducted ``on behalf of the Food and Drug Administration'' and
that study results ``will be used in the consideration of important
policy decisions.'' These statements could potentially influence
subjects' responses to study questions. Instead, this information might
be provided at the conclusion of the study.''
Response to Comment 3l: Such statements are intended to communicate
the legitimacy of the study to potential participants, and thus
validate participation. Upon further consideration, we concur that
these statements may potentially influence responses, and we have
removed them.
Comment 3m: The next comment characterized as miscellany read:
``The Main Study Survey should include a similar question to Q5,
inquiring about if a toll-free number was not available.''
Response to Comment 3m: We acknowledge the potential value of this
question, but given the key objectives of the research, and concerns
about participant burden, we decline to adopt this recommendation. We
have targeted to keep the current information collection to under 15
minutes per respondent.
Comment 3n: Continuing under the miscellany category: ``There are
several questions of the Main Study Survey (e.g., questions associated
with Instructions_2) that inquire about a subject's preferences
regarding the provision of product labeling. We do not understand the
utility of these questions. Again, FDA's regulation concerns adequate,
not preferred, provision.''
Response to Comment 3n: In deciding upon potential revisions, we
have considered both this commenter's views and those of another
commenter (see Comment 1g) which recommend utilizing consumer
preferences as an independent variable. We agree with the first
commenter that consumer preferences are crucial for understanding the
issues at hand as articulated in the 60-day FRN (82 FR 26934).
Consequently, we have retained these questions.
Comment 3o: The next miscellany comment read: ``Certain questions,
like Q4 and Q5 of the Main Study Survey, should include the option of
asking a health care provider. Such a choice is part of FDA's adequate
provision recommendation in the Guidance Document.''
Response to Comment 3o: Please see Comment 1j and our associated
response.
Comment 3p: The next miscellany comment read: ``The ordering of the
questions (web page, toll-free number, print ad) of the Main Study
Survey could potentially introduce bias. FDA may want to randomize the
ordering of questions (e.g., Q6-Q11) to eliminate such bias.''
Response to Comment 3p: We accept this recommendation and will
randomize the ordering of questions Q6 to Q11 pertaining to web page,
toll-free number, and print ad.
Comment 3q: The final comment characterized as miscellany read:
``Q15 of the Main Study Survey should include an option of mailing
information to the customer.''
Response to Comment 3q: Please see Comment 2d and our associated
response.
FDA estimates the burden of this collection of information as
follows:
Table 1--Estimated Reporting Burden \1\
--------------------------------------------------------------------------------------------------------------------------------------------------------
Number of
Activity Number of responses per Total annual Average burden per response Total hours
respondents respondent responses
--------------------------------------------------------------------------------------------------------------------------------------------------------
Pretest Screener.............................. 63 1 63 .05 (3 minutes)......................... 3.15
Pretest Survey................................ 25 1 25 .25 (15 minutes)........................ 6.25
Main Study Screener........................... 4,990 1 4,990 .05 (3 minutes)......................... 249.5
Main Study Survey............................. 1,996 1 1,996 .25 (15 minutes)........................ 499
---------------------------------------------------------------------------------------------------------
Total Hours............................... .............. .............. .............. ........................................ 757.9
--------------------------------------------------------------------------------------------------------------------------------------------------------
\1\ There are no capital costs or operating and maintenance costs associated with this collection of information.
II. References
The following references are on display in the Dockets Management
Staff (see ADDRESSES) and are available for viewing by interested
persons between 9 a.m. and 4 p.m., Monday through Friday; they are also
available electronically at https://www.regulations.gov. 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. U.S. Department of Health and Human Services, Food and Drug
Administration (1999). ``Guidance for Industry: Consumer-Directed
Broadcast Advertisements.'' Available at https://www.fda.gov/RegulatoryInformation/Guidances/ucm125039.htm.
2. Anderson, M. and A. Perrin (2016). ``13% of Americans Don't Use
the internet: Who Are They?'' Pew Research Center. Available at
https://www.pewresearch.org/fact-tank/2016/09/07/some-americans-dont-use-the-internet-who-are-they/.
3. U.S. Department of Commerce, U.S. Census Bureau (2013).
``Computer and internet Use in the United States: Population
Characteristics.'' Available at https://www.census.gov/prod/2013pubs/p20-569.pdf.
[[Page 10862]]
4. Fox, S. and L. Rainie (2002). ``Vital Decisions: How internet
Users Decide What Information to Trust When They or Their Loved Ones
Are Sick. Pew internet & American Life Project.'' Available at
https://www.pewinternet.org/2002/05/22/main-report-the-search-for-online-medical-help/.
5. DeLorme, D.E., J. Huh, and L.N. Reid (2011). ``Source Selection
in Prescription Drug Information Seeking and Influencing Factors:
Applying the Comprehensive Model of Information Seeking in an
American Context.'' Journal of Health Communication, 16: pp. 766-
787.
6. O'Donoghue, A.C., H.W. Sullivan, K.J. Aikin, et al. (2014).
``Important Safety Information or Important Risk Information? A
Question of Framing in Prescription Drug Advertisements.''
Therapeutic Innovation and Regulatory Science, 48: pp. 305-307. doi:
10.1177/2168479013510306
7. Kahneman, D. (2011). Thinking, Fast and Slow. New York, NY:
Farrar, Straus, and Giroux.
8. Rothman, A.J. and P. Salovey (1997). ``Shaping Perceptions To
Motivate Healthy Behavior: The Role of Message Framing.''
Psychological Bulletin, 121: pp. 3-19.
9. Armstrong, K., J.S. Schwartz, G. Fitzgerald, et al. (2002).
``Effect of Framing as Gain Versus Loss on Understanding and
Hypothetical Treatment Choices: Survival and Mortality Curves.''
Medical Decision Making, 22: pp. 76-83.
10. National Center for Health Statistics (2016). ``Health, United
States, 2015: With Special Feature on Racial and Ethnic Health
Disparities.'' Hyattsville, MD.
11. Brick, J.M. and D. Williams (2013). ``Explaining Rising
Nonresponse Rates in Cross-Sectional Surveys.'' The Annals of the
American Academy of Political and Social Science, 645: pp. 36-59.
12. Groves, R.M. (2006). ``Nonresponse Rates and Nonresponse Bias in
Household Surveys.'' Public Opinion Quarterly, 70: pp. 646-675.
13. Betts, K.R., V. Boudewyns, K.J. Aikin, C. Squire, et al. (2017).
``Serious and Actionable Risks, Plus Disclosure: Investigating an
Alternative Approach for Presenting Risk Information in Prescription
Drug Television Advertisements.'' Research in Social &
Administrative Pharmacy. doi: 10.1016/j.sapharm.2017.07.015.
Dated: March 7, 2018.
Leslie Kux,
Associate Commissioner for Policy.
[FR Doc. 2018-04996 Filed 3-12-18; 8:45 am]
BILLING CODE 4164-01-P