Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment Request; Text Analysis of Proprietary Drug Name Interpretations, 62426-62429 [2022-22301]
Download as PDF
62426
Federal Register / Vol. 87, No. 198 / Friday, October 14, 2022 / Notices
Dated: October 6, 2022.
Lauren K. Roth,
Associate Commissioner for Policy.
Text Analysis of Proprietary Drug
Name Interpretations
OMB Control Number 0910—NEW
[FR Doc. 2022–22305 Filed 10–13–22; 8:45 am]
BILLING CODE 4164–01–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Food and Drug Administration
[Docket No. FDA–2021–N–1026]
Agency Information Collection
Activities; Submission for Office of
Management and Budget Review;
Comment Request; Text Analysis of
Proprietary Drug Name Interpretations
AGENCY:
Food and Drug Administration,
HHS.
ACTION:
Notice.
The Food and Drug
Administration (FDA, Agency, or we) 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.
SUMMARY:
Submit written comments
(including recommendations) on the
collection of information by November
14, 2022.
DATES:
To ensure that comments on
the information collection are received,
OMB recommends that written
comments be submitted to https://
www.reginfo.gov/public/do/PRAMain.
Find this particular information
collection by selecting ‘‘Currently under
Review—Open for Public Comments’’ or
by using the search function. The title
of this information collection is ‘‘Text
Analysis of Proprietary Drug Name
Interpretations.’’ Also include the FDA
docket number found in brackets in the
heading of this document.
ADDRESSES:
jspears on DSK121TN23PROD with NOTICES
FOR FURTHER INFORMATION CONTACT:
JonnaLynn Capezzuto, Office of
Operations, Food and Drug
Administration, Three White Flint
North, 10A–12M, 11601 Landsdown St.,
North Bethesda, MD 20852, 301–796–
3794, PRAStaff@fda.hhs.gov.
For copies of the questionnaire: Office
of Prescription Drug Promotion (OPDP)
Research Team, DTCresearch@
fda.hhs.gov.
In
compliance with 44 U.S.C. 3507, FDA
has submitted the following proposed
collection of information to OMB for
review and clearance.
SUPPLEMENTARY INFORMATION:
VerDate Sep<11>2014
17:22 Oct 13, 2022
Jkt 259001
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.
The Office of Prescription Drug
Promotion’s (OPDP) mission is to
protect the public health by helping to
ensure that prescription drug promotion
is truthful, balanced, and accurately
communicated. OPDP’s research
program provides 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 are most central to our mission. Our
research focuses 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. This
study will inform all three topic areas.
Because we recognize the strength of
data and the confidence in the robust
nature of the findings are 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
home page, which can be found at
https://www.fda.gov/about-fda/centerdrug-evaluation-and-research-cder/
office-prescription-drug-promotionopdp-research. The website includes
links to the latest Federal Register
PO 00000
Frm 00068
Fmt 4703
Sfmt 4703
notices and peer-reviewed publications
produced by our office.
As part of the prescription drug
regulatory review process, sponsors
propose proprietary names for their
products. These names undergo a
proprietary name review that involves
the Office of Surveillance and
Epidemiology, the relevant medical
office, and OPDP. OPDP reviews names
to assess for alignment with the FD&C
Act, which provides, among other
things, that labeling can misbrand a
product if false or misleading
representations are made (see 21 U.S.C.
321(n) and 352(a)). A proprietary name
that appears in labeling could result in
such misbranding if it is false or
misleading. OPDP reviews, among other
things, whether names: (1) overstate the
efficacy or safety of the drug, (2) suggest
drug indications that are not accurate,
(3) suggest superiority without
substantiation, or (4) are of a fanciful
nature that misleadingly implies unique
effectiveness or composition. It would
be helpful in OPDP’s review of
promotional implications of proprietary
names for data on consumer and
prescriber interpretations of proposed
proprietary names to be more readily
available for consideration. The
proposed research will use text analysis
(e.g., topic modeling and sentiment
analysis) to learn how consumer and
primary care physician (PCP)
populations interpret prescription drug
names, which will assist OPDP’s
consideration of promotional
implications.
This proposed research builds upon
and extends OPDP’s research entitled
‘‘Empirical Study of Promotional
Implications of Proprietary Prescription
Drug Names’’ (86 FR 14440; March 16,
2021). That research involves an
experimental design intended to assess
names that potentially overstate the
efficacy of a product. In contrast, the
proposed research involves a survey
design that comprises primarily openended questions intended to generate
text for analysis, an approach that is
unrestricted in its ability to assess text
with different types of promotional
implications (e.g., minimization of risk
and unsubstantiated claims of
superiority, in addition to overstatement
of efficacy). The proposed research will
add to the depth and breadth of
knowledge we can draw from during the
review of proposed proprietary drug
names.
The key objectives of the proposed
research are as follows:
1. To apply new techniques such as
topic modeling and sentiment analysis
(forms of text analysis) to answer
OPDP’s research questions about
E:\FR\FM\14OCN1.SGM
14OCN1
jspears on DSK121TN23PROD with NOTICES
Federal Register / Vol. 87, No. 198 / Friday, October 14, 2022 / Notices
consumer and PCP interpretations of
proprietary prescription drug names.
2. To help develop a methodological
approach for assessing consumer and
prescriber interpretations of drug
names, which can potentially be used in
the future as a standard assessment tool.
Our methodological approach will
involve nationally representative
samples. Consumers will be recruited
from Ipsos Public Affairs
KNOWLEDGEPANEL. PCPs will be
recruited using a two-stage approach
that will begin with a purchased list of
PCPs based on the American Medical
Association Physician Masterfile. These
members will then be matched to one or
more sample provider lists to recruit
PCP participants for this study. We
propose a sample of 300 consumers and
300 PCPs for the main study. We have
designed a within-subjects experiment
in which participants will be exposed to
multiple drug names to maximize power
to find differences with this sample size.
The stimuli will comprise 60
experimental names and 60 control
names. Participants will be randomized
to 1 of 10 groups so that no one
responds to more than 12 names in
total. Each participant will see six
experimental names and six control
names. The experimental names will be
names with suspected promotional
implications, whereas the control names
will not have suspected promotional
implications. Names will be viewed in
random order. Participants will respond
in open-ended text boxes about their
perceptions of each drug name.
Supplementary closed-ended questions
may also be presented. We will conduct
text analysis of the responses and
present descriptive results for
individual drug names by participant
cohort (i.e., consumers versus PCPs),
and we will also code and compare
responses across types of drug names.
In the Federal Register of November
1, 2021 (86 FR 60254), FDA published
a 60-day notice requesting public
comment on the proposed collection of
information. FDA received two
comments that were Paperwork
Reduction Act (PRA) related. Within
those submissions, FDA received
multiple comments that the Agency has
addressed. For brevity, some public
comments are paraphrased and
therefore may not state the exact
language used by the commenter. All
comments were considered even if they
were not fully captured by our
paraphrasing in this document.
Comments and responses are numbered
here for organizational purposes only.
(Comment 1) One comment
contended that FDA should revise the
questionnaire to capture real-world
VerDate Sep<11>2014
17:22 Oct 13, 2022
Jkt 259001
conditions more closely in which PCPs
and consumers form impressions of
proprietary names. The comment
suggested that while FDA stated that
‘‘[t]he experimental names will be
names with suspected promotional
implications’’ in the Federal Register
notice, the Agency does not approve
proprietary names with ‘‘suspected
promotional implications.’’ The
comment also stated that FDA’s
proposed approach would not mimic
the real-world conditions in which
mention of a drug’s indication triggers a
requirement to provide safety
information as well. The comment
suggested that either FDA could
consider providing only the drug name
in a way that is similar to the
information provided in reminder
advertising, or it could provide a
balanced presentation as required under
the relevant regulations.
(Response 1) As previously described,
sponsors propose proprietary names for
their products, including those with
promotional implications, as part of the
prescription drug regulatory review
process. One purpose of this study is to
investigate methodological options for
collecting insights from consumers and
providers during the review process that
might help FDA make determinations
about whether drug names have
promotional implications that misbrand
a product. As for real-world conditions,
our initial focus is on establishing
correlation or causation in a more
controlled setting—such as a
randomized controlled trial or the type
of rigorous experimental study we have
planned.
(Comment 2) One comment suggested
that FDA does not state how the
information obtained from the specified
study will be useful or how it will be
used to inform name reviews. The
comment then asserted that the link
between this information and the
implementation of FDA’s misbranding
authorities and proprietary name
review, and thus the practical utility of
the survey, is unclear.
(Response 2) FDA’s review of
proprietary names is conducted to help
ensure that proposed proprietary names
do not contribute to misbranding a drug
or to other violation(s) of the FD&C Act
and Agency regulations, particularly
when that proprietary name appears in
labeling. (See, e.g., 21 U.S.C. 321(n) and
352(a).) We conduct our review of
proprietary names in accordance with
applicable legal authorities.
The existing study is a first step in
exploring the utility of text analysis for
collection of data on proprietary
prescription drug names. Determining
how names are processed and
PO 00000
Frm 00069
Fmt 4703
Sfmt 4703
62427
understood by consumers and
healthcare providers (HCPs) is
important information to be considered
in the review of proposed prescription
drug names. This program of research is
being conducted to increase the body of
evidence upon which experts can rely
when assessing proposed proprietary
names.
(Comment 3) One comment stated
that FDA should revise question 1. The
comment advised that the instructions
should make clear that the respondent
can write ‘‘no impression’’ if the name
does not, in the respondent’s view,
communicate any information related to
the particular attribute of the drug. In
addition, the comment stated that the
last question, asking respondents to
write a brief narrative, is confusing and
unnecessary and that the objective and
practical utility of this exercise are
unclear.
(Response 3) It was clear in our
cognitive interviews that if respondents
had no impression based on a drug
name, they would be likely to type
‘‘nothing’’ or ‘‘no impression’’ as their
response. The purpose of the last
exercise is to examine the utility of an
implicit measure of attitudes for
comparison with the more explicit
measures. If this measure proves to be
unproductive in pre-testing, we may
omit it from the main study. For
instance, this implicit measure might be
considered unproductive if it does not
prompt any additional, unique text
relative to what is offered in response to
the earlier open-ended items.
(Comment 4) Two comments similarly
claimed that questions two through six
are leading, potentially confusing,
duplicative of another question, or
otherwise unnecessary. One comment
recommended removing these
questions.
(Response 4) These questions have
been included as a way of validating the
information recorded in question one.
Based on other comments, such as one
that challenged the use of yes/no
questions, we have revised them to a 5point Likert scale, ranging from strongly
disagree to strongly agree. We will
assess these questions further as part of
pre-testing.
(Comment 5) One comment stated
that FDA should limit patient and PCP
participation to those who have
experience with the fictitious drug
indications. It further asserted that FDA
should provide detail on how the
patients and PCPs will be selected and
how FDA will help ensure these
participants have relevant experience.
The comment suggested that FDA could
add an open-ended question requesting
that PCPs provide information about
E:\FR\FM\14OCN1.SGM
14OCN1
jspears on DSK121TN23PROD with NOTICES
62428
Federal Register / Vol. 87, No. 198 / Friday, October 14, 2022 / Notices
their experiences in the disease areas for
which the fictitious drugs are intended,
patient populations, and settings to
understand the real-world value of the
responses.
(Response 5) Due to the large number
of drug names and indications to be
included in this study, the comment’s
suggestion is not feasible. However, we
will add a measure to the screener to
assess PCPs’ and consumers’
experiences with each of the
indications. This variable can then be
used as a covariate in analyses.
(Comment 6) One comment suggested
that to ensure that the survey isolates
the impressions given by the proprietary
name, FDA should use only fictitious
names for the survey.
(Response 6) We have removed all
real drug names from the study and
replaced them with fictitious names.
(Comment 7) One comment
recommended removing all yes/no
questions from the survey.
(Response 7) We have done so,
changing the yes/no items to Likert
scale items.
(Comment 8) One comment
recommended that FDA should
acknowledge that proposed names may
include ‘‘permissible suggestions’’ and
should include such fictitious examples.
The comment conjectured that the
survey appears to focus only on
potential impermissible suggestions that
may result from a drug’s proprietary
name. The comment submitted that
proposed names should also be
included that, for example, suggest the
dosage form, frequency of delivery,
structure of the drug, or general category
of the drug’s indications.
(Response 8) A previous study by this
research team did include names such
as those suggested above (e.g., with the
drug’s indication embedded in the
name). Those names are not included
here to avoid duplication.
(Comment 9) One comment stated
that FDA should explain its
methodology for the text analysis and
allow for stakeholder feedback on the
proposed text analysis methodology.
(Response 9) We will examine and
present descriptive results for
individual names. However, given our
goals of understanding promotional
implications of prescription drug names
across consumers and PCPs, we are also
interested in whether there are
differences in topic distributions across
our treatment and control arms (control
versus promotional implications) and
between populations (consumers and
PCPs). We will use topic modeling and
sentiment analysis to answer those
questions. We have described the
purpose of the study, the design, and
VerDate Sep<11>2014
17:22 Oct 13, 2022
Jkt 259001
the population of interest, and we have
provided the questionnaire to numerous
individuals upon request.
(Comment 10) One comment
expressed concerns about how degrees
or levels of misbranding may be
established or standardized for
evaluating proposed proprietary
prescription drug names. It stated that
no information has yet been provided by
FDA to inform how such
standardization will be developed.
(Response 10) This study is not
intended either to establish degrees or
levels of misbranding or to standardize
levels of misbranding for the evaluation
of proposed drug names. The key
objectives of the proposed research are
to apply new techniques such as topic
modeling and sentiment analysis to
answer OPDP’s research questions about
consumer and PCP interpretations of
proprietary prescription drug names and
to help develop a methodological
approach for assessing consumer and
prescriber interpretations of drug
names.
(Comment 11) A comment objected
that FDA has not provided any
information on how it will select target
names to include in the pre-test and
subsequently decide which target names
will be used in the main study. The
comment expressed concerns that the
pre-test will not be able to develop
multiple distinct levels of efficacy or
indication implication among target
names that will be reliably identifiable
by HCPs or consumers. The comment
asserted that a proprietary name may
not be reliably classified and separated
into multiple levels of implication.
(Response 11) Our full stimuli are
under development during the PRA
process. We do not make draft stimuli
public during this time because of
concerns that this may contaminate our
participant pool and compromise our
research. In our research proposals, we
describe the purpose of the study, the
design, the population of interest, and
the estimated burden.
Names will be intentionally
developed to have promotional
implications (e.g., overstatement of
efficacy). Many of the names were used
in our cognitive interviews. In addition,
we will conduct up to two pre-tests, at
which point, if any names are not
distinguishable from those composed of
random syllables, they will be replaced.
A similar process was used in another
recent study, with reliable results.
Participants did distinguish between
names created from random syllables
and those with promotional
implications.
(Comment 12) One comment advised
that the pronunciation offered to a
PO 00000
Frm 00070
Fmt 4703
Sfmt 4703
respondent would influence a
respondent’s impressions and that it
would be important for FDA to control
for this influence. The comment opined
that the pronunciation should result in
as neutral a reading as possible, not
emphasizing any particular aspect of a
name.
(Response 12) All drug names were
recorded by the same voiceover
specialist in as neutral a manner as
possible.
(Comment 13) A comment similarly
asserted that the impression formed
from a visual cue (drug name written
out) would influence and be influenced
by an audio cue and vice versa. The
comment contended that there would be
less bias introduced by listening first to
an audio cue. The comment also
recommended that an audio cue first be
provided, followed by the question
about hearing the name, and that the
visual image of the name would be
presented followed by the question
about seeing the name.
(Response 13) We agree that people
access both the orthographic and
phonological interpretations when they
read. However, since our main
comparison is within subjects, it is
likely that there is some consistency in
the order in which any one respondent
listens to the pronunciation versus
reading the word, and so any variation
that may exist should not confound the
effects of their own interpretation of the
drug names. In addition, the comment’s
suggestion would double the number of
open-ended questions for every drug
name, increasing the survey burden
substantially.
(Comment 14) One comment
suggested altering the order of the
prompts so that after gaining
impressions following the audio and
visual cues, the brief story or narrative
prompt follows.
(Response 14) The currently proposed
questionnaire follows this order.
(Comment 15) One comment argued
that prompts should not be ‘‘doublebarreled’’ and should not lead or prime
the respondent to find benefits or other
meanings where there may be none. The
comment suggested that questions
should ask separately about benefits and
how well the drug would work and then
also ask separately about risks and side
effects. The comment suggested
rephrasing to ‘‘Does the drug name
suggest the drug may have a benefit?’’ or
‘‘Does the drug name make you think
about how well it might work?’’.
(Response 15) We have edited the
open-ended section of the study so that
these questions are no longer separate
items but merely instructions preceding
the first question. The phrasing the
E:\FR\FM\14OCN1.SGM
14OCN1
Federal Register / Vol. 87, No. 198 / Friday, October 14, 2022 / Notices
comment suggested is likely to lead to
one-word answers ‘‘yes’’ or ‘‘no,’’ which
does not provide the type of text
response that is needed to conduct text
analysis on the data. We did find in
cognitive interviews that participants
who did not perceive any meaning from
a specific drug name said they would be
likely to type ‘‘nothing’’ into the openended text box. Thus, we believe the
study in its current form does allow for
this possibility.
(Comment 16) One comment
suggested very general questions should
be asked first and then those that are
more specific.
(Response 16) We have ordered the
prompts from general to specific in line
with the suggested comment.
(Comment 17) One comment
proposed that researchers may want to
consider reducing the number of drugs
queried in the survey from 12 to 6 to
elicit the richest text data from
respondents and that it may be helpful
to give a minimum word count for text
responses.
(Response 17) Six drugs will not
allow for enough power to make
comparisons between the groups.
However, if we find that we get many
breakoffs (participants who begin the
survey but do not complete it) in the
pre-test (suggesting the survey burden is
too high), we will reconsider the study
design.
(Comment 18) One comment
recommended that an iterative plan for
analysis be developed such that there
are checks for both internal and external
validity at specified intervals. It further
proposed that researchers may want to
consider a context-specific analysis plan
and argued that one common analysis
approach or dictionary may not measure
risk, side effects, and other constructs
accurately across all drugs.
62429
(Response 18) Though the topic
modeling approach is designed to be
exploratory for this study, we will
calculate coherence metrics to assess
model fit as well as perform validation
exercises to assess if the generated
topics can be easily interpreted.
(Comment 19) One comment
recommended that an iterative plan for
analysis be created based on a set of
preliminary data along with the other
research materials, such as the
questionnaire, sampling plan, etc., so
that it can be reviewed before execution
of the full research.
(Response 19) We appreciate the
comment. The pre-test will provide the
valuable insight to create a specific
analysis plan for the main study. The
pilot data will help us assess
assumptions about how respondents
will respond to target names.
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
Total annual
responses
Average burden
per response
Total hours
General Consumer Population
Pretest 1 screener (assumes 80% eligible) ................
Pretest 1 survey ..........................................................
Pretest 2 screener (assumes 80% eligible) ................
Pretest 2 survey ..........................................................
Main study screener (assumes 80% eligible) .............
Main study survey completes ......................................
22
17
22
17
413
330
1
1
1
1
1
1
22
17
22
17
413
330
0.08
0.33
0.08
0.33
0.08
0.33
(5 minutes) .....
(20 minutes) ...
(5 minutes) .....
(20 minutes) ...
(5 minutes) .....
(20 minutes) ...
1.8
5.6
1.8
5.6
33
108.9
0.08
0.33
0.08
0.33
0.08
0.33
(5 minutes) .....
(20 minutes) ...
(5 minutes) .....
(20 minutes) ...
(5 minutes) .....
(20 minutes) ...
4.6
5.6
4.6
5.6
88
108.9
................................
374
PCP Population
Pretest 1 screener (assumes 30% eligible) ................
Pretest 1 survey ..........................................................
Pretest 2 screener (assumes 30% eligible) ................
Pretest 2 survey ..........................................................
Main study screener (assumes 30% eligible) .............
Main study survey completes ......................................
57
17
57
17
1,100
330
1
1
1
1
1
1
57
17
57
17
1,100
330
Total ......................................................................
........................
........................
........................
1 There
are no capital costs or operating and maintenance costs associated with this collection of information.
jspears on DSK121TN23PROD with NOTICES
As with most online and mail
surveys, it is always possible that some
participants are in the process of
completing the survey when the target
number is reached and that those
surveys will be completed and received
before the survey is closed out. To
account for this, we have estimated
approximately 10 percent overage for
both samples in the study.
Dated: October 5, 2022.
Lauren K. Roth,
Associate Commissioner for Policy.
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Food and Drug Administration
[Docket No. FDA–2013–N–1619]
Agency Information Collection
Activities; Proposed Collection;
Comment Request; Current Good
Manufacturing Practice in
Manufacturing, Packaging, Labeling, or
Holding Operations for Dietary
Supplements
[FR Doc. 2022–22301 Filed 10–13–22; 8:45 am]
AGENCY:
BILLING CODE 4164–01–P
HHS.
ACTION:
VerDate Sep<11>2014
17:22 Oct 13, 2022
Jkt 259001
PO 00000
Food and Drug Administration,
Notice.
Frm 00071
Fmt 4703
Sfmt 4703
The Food and Drug
Administration (FDA, Agency, or we) is
announcing an opportunity for public
comment on the proposed collection of
certain information by the Agency.
Under the Paperwork Reduction Act of
1995 (PRA), Federal Agencies are
required to publish notice in the
Federal Register concerning each
proposed collection of information,
including each proposed extension of an
existing collection of information, and
to allow 60 days for public comment in
response to the notice. This notice
solicits comments on the information
collection provisions of FDA’s
regulations regarding current good
SUMMARY:
E:\FR\FM\14OCN1.SGM
14OCN1
Agencies
[Federal Register Volume 87, Number 198 (Friday, October 14, 2022)]
[Notices]
[Pages 62426-62429]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2022-22301]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Food and Drug Administration
[Docket No. FDA-2021-N-1026]
Agency Information Collection Activities; Submission for Office
of Management and Budget Review; Comment Request; Text Analysis of
Proprietary Drug Name Interpretations
AGENCY: Food and Drug Administration, HHS.
ACTION: Notice.
-----------------------------------------------------------------------
SUMMARY: The Food and Drug Administration (FDA, Agency, or we) 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 written comments (including recommendations) on the
collection of information by November 14, 2022.
ADDRESSES: To ensure that comments on the information collection are
received, OMB recommends that written comments be submitted to https://www.reginfo.gov/public/do/PRAMain. Find this particular information
collection by selecting ``Currently under Review--Open for Public
Comments'' or by using the search function. The title of this
information collection is ``Text Analysis of Proprietary Drug Name
Interpretations.'' Also include the FDA docket number found in brackets
in the heading of this document.
FOR FURTHER INFORMATION CONTACT: JonnaLynn Capezzuto, Office of
Operations, Food and Drug Administration, Three White Flint North, 10A-
12M, 11601 Landsdown St., North Bethesda, MD 20852, 301-796-3794,
[email protected].
For copies of the questionnaire: Office of Prescription Drug
Promotion (OPDP) Research Team, [email protected].
SUPPLEMENTARY INFORMATION: In compliance with 44 U.S.C. 3507, FDA has
submitted the following proposed collection of information to OMB for
review and clearance.
Text Analysis of Proprietary Drug Name Interpretations
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.
The Office of Prescription Drug Promotion's (OPDP) mission is to
protect the public health by helping to ensure that prescription drug
promotion is truthful, balanced, and accurately communicated. OPDP's
research program provides 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 are most central to our mission. Our research focuses 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. This
study will inform all three topic areas.
Because we recognize the strength of data and the confidence in the
robust nature of the findings are 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 home page,
which can be found at https://www.fda.gov/about-fda/center-drug-evaluation-and-research-cder/office-prescription-drug-promotion-opdp-research. The website includes links to the latest Federal Register
notices and peer-reviewed publications produced by our office.
As part of the prescription drug regulatory review process,
sponsors propose proprietary names for their products. These names
undergo a proprietary name review that involves the Office of
Surveillance and Epidemiology, the relevant medical office, and OPDP.
OPDP reviews names to assess for alignment with the FD&C Act, which
provides, among other things, that labeling can misbrand a product if
false or misleading representations are made (see 21 U.S.C. 321(n) and
352(a)). A proprietary name that appears in labeling could result in
such misbranding if it is false or misleading. OPDP reviews, among
other things, whether names: (1) overstate the efficacy or safety of
the drug, (2) suggest drug indications that are not accurate, (3)
suggest superiority without substantiation, or (4) are of a fanciful
nature that misleadingly implies unique effectiveness or composition.
It would be helpful in OPDP's review of promotional implications of
proprietary names for data on consumer and prescriber interpretations
of proposed proprietary names to be more readily available for
consideration. The proposed research will use text analysis (e.g.,
topic modeling and sentiment analysis) to learn how consumer and
primary care physician (PCP) populations interpret prescription drug
names, which will assist OPDP's consideration of promotional
implications.
This proposed research builds upon and extends OPDP's research
entitled ``Empirical Study of Promotional Implications of Proprietary
Prescription Drug Names'' (86 FR 14440; March 16, 2021). That research
involves an experimental design intended to assess names that
potentially overstate the efficacy of a product. In contrast, the
proposed research involves a survey design that comprises primarily
open-ended questions intended to generate text for analysis, an
approach that is unrestricted in its ability to assess text with
different types of promotional implications (e.g., minimization of risk
and unsubstantiated claims of superiority, in addition to overstatement
of efficacy). The proposed research will add to the depth and breadth
of knowledge we can draw from during the review of proposed proprietary
drug names.
The key objectives of the proposed research are as follows:
1. To apply new techniques such as topic modeling and sentiment
analysis (forms of text analysis) to answer OPDP's research questions
about
[[Page 62427]]
consumer and PCP interpretations of proprietary prescription drug
names.
2. To help develop a methodological approach for assessing consumer
and prescriber interpretations of drug names, which can potentially be
used in the future as a standard assessment tool.
Our methodological approach will involve nationally representative
samples. Consumers will be recruited from Ipsos Public Affairs
KNOWLEDGEPANEL. PCPs will be recruited using a two-stage approach that
will begin with a purchased list of PCPs based on the American Medical
Association Physician Masterfile. These members will then be matched to
one or more sample provider lists to recruit PCP participants for this
study. We propose a sample of 300 consumers and 300 PCPs for the main
study. We have designed a within-subjects experiment in which
participants will be exposed to multiple drug names to maximize power
to find differences with this sample size. The stimuli will comprise 60
experimental names and 60 control names. Participants will be
randomized to 1 of 10 groups so that no one responds to more than 12
names in total. Each participant will see six experimental names and
six control names. The experimental names will be names with suspected
promotional implications, whereas the control names will not have
suspected promotional implications. Names will be viewed in random
order. Participants will respond in open-ended text boxes about their
perceptions of each drug name. Supplementary closed-ended questions may
also be presented. We will conduct text analysis of the responses and
present descriptive results for individual drug names by participant
cohort (i.e., consumers versus PCPs), and we will also code and compare
responses across types of drug names.
In the Federal Register of November 1, 2021 (86 FR 60254), FDA
published a 60-day notice requesting public comment on the proposed
collection of information. FDA received two comments that were
Paperwork Reduction Act (PRA) related. Within those submissions, FDA
received multiple comments that the Agency has addressed. For brevity,
some public comments are paraphrased and therefore may not state the
exact language used by the commenter. All comments were considered even
if they were not fully captured by our paraphrasing in this document.
Comments and responses are numbered here for organizational purposes
only.
(Comment 1) One comment contended that FDA should revise the
questionnaire to capture real-world conditions more closely in which
PCPs and consumers form impressions of proprietary names. The comment
suggested that while FDA stated that ``[t]he experimental names will be
names with suspected promotional implications'' in the Federal Register
notice, the Agency does not approve proprietary names with ``suspected
promotional implications.'' The comment also stated that FDA's proposed
approach would not mimic the real-world conditions in which mention of
a drug's indication triggers a requirement to provide safety
information as well. The comment suggested that either FDA could
consider providing only the drug name in a way that is similar to the
information provided in reminder advertising, or it could provide a
balanced presentation as required under the relevant regulations.
(Response 1) As previously described, sponsors propose proprietary
names for their products, including those with promotional
implications, as part of the prescription drug regulatory review
process. One purpose of this study is to investigate methodological
options for collecting insights from consumers and providers during the
review process that might help FDA make determinations about whether
drug names have promotional implications that misbrand a product. As
for real-world conditions, our initial focus is on establishing
correlation or causation in a more controlled setting--such as a
randomized controlled trial or the type of rigorous experimental study
we have planned.
(Comment 2) One comment suggested that FDA does not state how the
information obtained from the specified study will be useful or how it
will be used to inform name reviews. The comment then asserted that the
link between this information and the implementation of FDA's
misbranding authorities and proprietary name review, and thus the
practical utility of the survey, is unclear.
(Response 2) FDA's review of proprietary names is conducted to help
ensure that proposed proprietary names do not contribute to misbranding
a drug or to other violation(s) of the FD&C Act and Agency regulations,
particularly when that proprietary name appears in labeling. (See,
e.g., 21 U.S.C. 321(n) and 352(a).) We conduct our review of
proprietary names in accordance with applicable legal authorities.
The existing study is a first step in exploring the utility of text
analysis for collection of data on proprietary prescription drug names.
Determining how names are processed and understood by consumers and
healthcare providers (HCPs) is important information to be considered
in the review of proposed prescription drug names. This program of
research is being conducted to increase the body of evidence upon which
experts can rely when assessing proposed proprietary names.
(Comment 3) One comment stated that FDA should revise question 1.
The comment advised that the instructions should make clear that the
respondent can write ``no impression'' if the name does not, in the
respondent's view, communicate any information related to the
particular attribute of the drug. In addition, the comment stated that
the last question, asking respondents to write a brief narrative, is
confusing and unnecessary and that the objective and practical utility
of this exercise are unclear.
(Response 3) It was clear in our cognitive interviews that if
respondents had no impression based on a drug name, they would be
likely to type ``nothing'' or ``no impression'' as their response. The
purpose of the last exercise is to examine the utility of an implicit
measure of attitudes for comparison with the more explicit measures. If
this measure proves to be unproductive in pre-testing, we may omit it
from the main study. For instance, this implicit measure might be
considered unproductive if it does not prompt any additional, unique
text relative to what is offered in response to the earlier open-ended
items.
(Comment 4) Two comments similarly claimed that questions two
through six are leading, potentially confusing, duplicative of another
question, or otherwise unnecessary. One comment recommended removing
these questions.
(Response 4) These questions have been included as a way of
validating the information recorded in question one. Based on other
comments, such as one that challenged the use of yes/no questions, we
have revised them to a 5-point Likert scale, ranging from strongly
disagree to strongly agree. We will assess these questions further as
part of pre-testing.
(Comment 5) One comment stated that FDA should limit patient and
PCP participation to those who have experience with the fictitious drug
indications. It further asserted that FDA should provide detail on how
the patients and PCPs will be selected and how FDA will help ensure
these participants have relevant experience. The comment suggested that
FDA could add an open-ended question requesting that PCPs provide
information about
[[Page 62428]]
their experiences in the disease areas for which the fictitious drugs
are intended, patient populations, and settings to understand the real-
world value of the responses.
(Response 5) Due to the large number of drug names and indications
to be included in this study, the comment's suggestion is not feasible.
However, we will add a measure to the screener to assess PCPs' and
consumers' experiences with each of the indications. This variable can
then be used as a covariate in analyses.
(Comment 6) One comment suggested that to ensure that the survey
isolates the impressions given by the proprietary name, FDA should use
only fictitious names for the survey.
(Response 6) We have removed all real drug names from the study and
replaced them with fictitious names.
(Comment 7) One comment recommended removing all yes/no questions
from the survey.
(Response 7) We have done so, changing the yes/no items to Likert
scale items.
(Comment 8) One comment recommended that FDA should acknowledge
that proposed names may include ``permissible suggestions'' and should
include such fictitious examples. The comment conjectured that the
survey appears to focus only on potential impermissible suggestions
that may result from a drug's proprietary name. The comment submitted
that proposed names should also be included that, for example, suggest
the dosage form, frequency of delivery, structure of the drug, or
general category of the drug's indications.
(Response 8) A previous study by this research team did include
names such as those suggested above (e.g., with the drug's indication
embedded in the name). Those names are not included here to avoid
duplication.
(Comment 9) One comment stated that FDA should explain its
methodology for the text analysis and allow for stakeholder feedback on
the proposed text analysis methodology.
(Response 9) We will examine and present descriptive results for
individual names. However, given our goals of understanding promotional
implications of prescription drug names across consumers and PCPs, we
are also interested in whether there are differences in topic
distributions across our treatment and control arms (control versus
promotional implications) and between populations (consumers and PCPs).
We will use topic modeling and sentiment analysis to answer those
questions. We have described the purpose of the study, the design, and
the population of interest, and we have provided the questionnaire to
numerous individuals upon request.
(Comment 10) One comment expressed concerns about how degrees or
levels of misbranding may be established or standardized for evaluating
proposed proprietary prescription drug names. It stated that no
information has yet been provided by FDA to inform how such
standardization will be developed.
(Response 10) This study is not intended either to establish
degrees or levels of misbranding or to standardize levels of
misbranding for the evaluation of proposed drug names. The key
objectives of the proposed research are to apply new techniques such as
topic modeling and sentiment analysis to answer OPDP's research
questions about consumer and PCP interpretations of proprietary
prescription drug names and to help develop a methodological approach
for assessing consumer and prescriber interpretations of drug names.
(Comment 11) A comment objected that FDA has not provided any
information on how it will select target names to include in the pre-
test and subsequently decide which target names will be used in the
main study. The comment expressed concerns that the pre-test will not
be able to develop multiple distinct levels of efficacy or indication
implication among target names that will be reliably identifiable by
HCPs or consumers. The comment asserted that a proprietary name may not
be reliably classified and separated into multiple levels of
implication.
(Response 11) Our full stimuli are under development during the PRA
process. We do not make draft stimuli public during this time because
of concerns that this may contaminate our participant pool and
compromise our research. In our research proposals, we describe the
purpose of the study, the design, the population of interest, and the
estimated burden.
Names will be intentionally developed to have promotional
implications (e.g., overstatement of efficacy). Many of the names were
used in our cognitive interviews. In addition, we will conduct up to
two pre-tests, at which point, if any names are not distinguishable
from those composed of random syllables, they will be replaced. A
similar process was used in another recent study, with reliable
results. Participants did distinguish between names created from random
syllables and those with promotional implications.
(Comment 12) One comment advised that the pronunciation offered to
a respondent would influence a respondent's impressions and that it
would be important for FDA to control for this influence. The comment
opined that the pronunciation should result in as neutral a reading as
possible, not emphasizing any particular aspect of a name.
(Response 12) All drug names were recorded by the same voiceover
specialist in as neutral a manner as possible.
(Comment 13) A comment similarly asserted that the impression
formed from a visual cue (drug name written out) would influence and be
influenced by an audio cue and vice versa. The comment contended that
there would be less bias introduced by listening first to an audio cue.
The comment also recommended that an audio cue first be provided,
followed by the question about hearing the name, and that the visual
image of the name would be presented followed by the question about
seeing the name.
(Response 13) We agree that people access both the orthographic and
phonological interpretations when they read. However, since our main
comparison is within subjects, it is likely that there is some
consistency in the order in which any one respondent listens to the
pronunciation versus reading the word, and so any variation that may
exist should not confound the effects of their own interpretation of
the drug names. In addition, the comment's suggestion would double the
number of open-ended questions for every drug name, increasing the
survey burden substantially.
(Comment 14) One comment suggested altering the order of the
prompts so that after gaining impressions following the audio and
visual cues, the brief story or narrative prompt follows.
(Response 14) The currently proposed questionnaire follows this
order.
(Comment 15) One comment argued that prompts should not be
``double-barreled'' and should not lead or prime the respondent to find
benefits or other meanings where there may be none. The comment
suggested that questions should ask separately about benefits and how
well the drug would work and then also ask separately about risks and
side effects. The comment suggested rephrasing to ``Does the drug name
suggest the drug may have a benefit?'' or ``Does the drug name make you
think about how well it might work?''.
(Response 15) We have edited the open-ended section of the study so
that these questions are no longer separate items but merely
instructions preceding the first question. The phrasing the
[[Page 62429]]
comment suggested is likely to lead to one-word answers ``yes'' or
``no,'' which does not provide the type of text response that is needed
to conduct text analysis on the data. We did find in cognitive
interviews that participants who did not perceive any meaning from a
specific drug name said they would be likely to type ``nothing'' into
the open-ended text box. Thus, we believe the study in its current form
does allow for this possibility.
(Comment 16) One comment suggested very general questions should be
asked first and then those that are more specific.
(Response 16) We have ordered the prompts from general to specific
in line with the suggested comment.
(Comment 17) One comment proposed that researchers may want to
consider reducing the number of drugs queried in the survey from 12 to
6 to elicit the richest text data from respondents and that it may be
helpful to give a minimum word count for text responses.
(Response 17) Six drugs will not allow for enough power to make
comparisons between the groups. However, if we find that we get many
breakoffs (participants who begin the survey but do not complete it) in
the pre-test (suggesting the survey burden is too high), we will
reconsider the study design.
(Comment 18) One comment recommended that an iterative plan for
analysis be developed such that there are checks for both internal and
external validity at specified intervals. It further proposed that
researchers may want to consider a context-specific analysis plan and
argued that one common analysis approach or dictionary may not measure
risk, side effects, and other constructs accurately across all drugs.
(Response 18) Though the topic modeling approach is designed to be
exploratory for this study, we will calculate coherence metrics to
assess model fit as well as perform validation exercises to assess if
the generated topics can be easily interpreted.
(Comment 19) One comment recommended that an iterative plan for
analysis be created based on a set of preliminary data along with the
other research materials, such as the questionnaire, sampling plan,
etc., so that it can be reviewed before execution of the full research.
(Response 19) We appreciate the comment. The pre-test will provide
the valuable insight to create a specific analysis plan for the main
study. The pilot data will help us assess assumptions about how
respondents will respond to target names.
FDA estimates the burden of this collection of information as
follows:
Table 1--Estimated Annual Reporting Burden \1\
--------------------------------------------------------------------------------------------------------------------------------------------------------
Number of
Activity Number of responses per Total annual Average burden per response Total hours
respondents respondent responses
--------------------------------------------------------------------------------------------------------------------------------------------------------
General Consumer Population
--------------------------------------------------------------------------------------------------------------------------------------------------------
Pretest 1 screener (assumes 80% eligible).... 22 1 22 0.08 (5 minutes)......................... 1.8
Pretest 1 survey............................. 17 1 17 0.33 (20 minutes)........................ 5.6
Pretest 2 screener (assumes 80% eligible).... 22 1 22 0.08 (5 minutes)......................... 1.8
Pretest 2 survey............................. 17 1 17 0.33 (20 minutes)........................ 5.6
Main study screener (assumes 80% eligible)... 413 1 413 0.08 (5 minutes)......................... 33
Main study survey completes.................. 330 1 330 0.33 (20 minutes)........................ 108.9
--------------------------------------------------------------------------------------------------------------------------------------------------------
PCP Population
--------------------------------------------------------------------------------------------------------------------------------------------------------
Pretest 1 screener (assumes 30% eligible).... 57 1 57 0.08 (5 minutes)......................... 4.6
Pretest 1 survey............................. 17 1 17 0.33 (20 minutes)........................ 5.6
Pretest 2 screener (assumes 30% eligible).... 57 1 57 0.08 (5 minutes)......................... 4.6
Pretest 2 survey............................. 17 1 17 0.33 (20 minutes)........................ 5.6
Main study screener (assumes 30% eligible)... 1,100 1 1,100 0.08 (5 minutes)......................... 88
Main study survey completes.................. 330 1 330 0.33 (20 minutes)........................ 108.9
----------------------------------------------------------------------------------------------------------
Total.................................... .............. .............. .............. ......................................... 374
--------------------------------------------------------------------------------------------------------------------------------------------------------
\1\ There are no capital costs or operating and maintenance costs associated with this collection of information.
As with most online and mail surveys, it is always possible that
some participants are in the process of completing the survey when the
target number is reached and that those surveys will be completed and
received before the survey is closed out. To account for this, we have
estimated approximately 10 percent overage for both samples in the
study.
Dated: October 5, 2022.
Lauren K. Roth,
Associate Commissioner for Policy.
[FR Doc. 2022-22301 Filed 10-13-22; 8:45 am]
BILLING CODE 4164-01-P