[Federal Register Volume 86, Number 111 (Friday, June 11, 2021)]
[Notices]
[Pages 31318-31323]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2021-12265]


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DEPARTMENT OF HEALTH AND HUMAN SERVICES

Food and Drug Administration

[Docket No. FDA-2020-N-1261]


Agency Information Collection Activities; Submission for Office 
of Management and Budget Review; Comment Request; Study of Disclosures 
to Healthcare Providers Regarding Data That Do Not Support Unapproved 
Use of an Approved Prescription Drug

AGENCY: Food and Drug Administration, HHS.

ACTION: Notice.

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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 (PRA).

DATES: Submit written comments (including recommendations) on the 
collection of information by July 12, 2021.

[[Page 31319]]


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 ``Study of Disclosures to Healthcare 
Providers Regarding Data That Do Not Support Unapproved Use of an 
Approved Prescription Drug.'' Also include the FDA docket number found 
in brackets in the heading of this document.

FOR FURTHER INFORMATION CONTACT: Ila S. Mizrachi, Office of Operations, 
Food and Drug Administration, Three White Flint North, 10A-12M, 11601 
Landsdown St., North Bethesda, MD 20852, 301-796-7726, 
[email protected].

SUPPLEMENTARY INFORMATION: In compliance with 44 U.S.C. 3507, FDA has 
submitted the following proposed collection of information to OMB for 
review and clearance.

Study of Disclosures to Healthcare Providers Regarding Data That Do Not 
Support Unapproved Use of an Approved Prescription Drug

OMB Control Number 0910-New

I. Background

    Section 1701(a)(4) of the Public Health Service Act (42 U.S.C. 
300u(a)(4)) authorizes FDA to conduct research relating to health 
information. Section 1003(d)(2)(C) of the Federal 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's) 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 our research data through analytical 
methodology development and investigation of sampling and response 
issues. This study will inform the first two topic areas: Advertising 
features and target populations.
    Because we recognize that the strength of data and the confidence 
in the robust nature of the findings is improved by utilizing the 
results of multiple converging studies, we continue to develop evidence 
to inform our thinking. We evaluate the results from our studies within 
the broader context of research and findings from other sources, and 
this larger body of knowledge collectively informs our policies as well 
as our research program. Our research is documented on our homepage, 
which can be found at: https://www.fda.gov/aboutfda/centersoffices/officeofmedicalproductsandtobacco/cder/ucm090276.htm. The website 
includes links to the latest Federal Register notices and peer-reviewed 
publications produced by our office. The website maintains information 
on studies we have conducted, dating back to a survey on direct-to-
consumer advertisements conducted in 1999.
    The revised draft guidance entitled ``Distributing Scientific and 
Medical Publications on Unapproved New Uses--Recommended Practices'' 
(2014; Ref. 1),\1\ recommends that scientific and medical journal 
articles that discuss unapproved uses of approved drug products be 
disseminated with a representative publication that reaches contrary or 
different conclusions, when such information exists. Similarly, the 
draft guidance entitled ``Responding to Unsolicited Requests for Off-
Label Information About Prescription Drugs and Medical Devices'' (2011; 
Ref. 2) \1\ recommends that when conclusions of articles or texts that 
are disseminated in response to an unsolicited request have been 
specifically called into question by other articles or texts, a firm 
should disseminate representative publications that reach contrary or 
different conclusions regarding the use at issue.
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    \1\ When final, this guidance will represent the FDA's current 
thinking on this topic.
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    Pharmaceutical firms sometimes choose to disseminate publications 
to healthcare providers (HCPs) that include data that appear to support 
an unapproved use of an approved product. At the same time, published 
data that are not supportive of that unapproved use may also exist. For 
example, unsupportive published information could describe an increased 
risk of negative outcomes (e.g., death, relapse) from the unapproved 
use of the approved product, suggesting that the unapproved use does 
not have a positive benefit-risk ratio. The purpose of this research is 
to examine physicians' perceptions and behavioral intentions about an 
unapproved new use of an approved prescription drug when made aware of 
other data that are not supportive of the unapproved use. This research 
will also evaluate the effectiveness of various disclosure approaches 
for communicating the unsupportive information. We will use the results 
of this research to better understand: (1) Physicians' perceptions of 
an unapproved use of a prescription drug; (2) physicians' perceptions 
about an unapproved use of an approved prescription drug when they are 
aware of the existence of unsupportive information about it; (3) 
physicians' perceptions of disclosures referencing the existence of 
unsupportive information about that particular use; and (4) to examine 
the utility and effectiveness of various approaches to the 
communication of this information. In particular, we plan to examine 
how different approaches to the communication of unsupportive 
information affect physicians' thoughts and attitudes about the 
unapproved use. Five approaches will be examined: (1) The provision of 
the unsupportive data in the form of a representative publication; (2) 
a disclosure that summarizes, rather than provides, the unsupportive 
data and includes a citation to the representative publication; (3) a 
disclosure that does not provide or include a summary of the 
unsupportive data but does acknowledge that unsupportive data exist and 
includes a citation to the representative publication; (4) a general 
disclosure that does not provide or include a summary of the 
unsupportive data but acknowledges unsupportive data may exist, without 
conceding that such data do exist; or (5) nothing--the absence of any 
presentation of unsupportive data or any disclosure about such data 
(control condition). We have four research questions:
    RQ1: When considering a presentation of data about an unapproved 
use of an approved drug product, how does the existence of unsupportive 
data impact physicians'

[[Page 31320]]

perceptions and intentions with regard to that unapproved use?
    RQ2: How does the way in which the existence of unsupportive data 
is communicated, when the specific data is not presented, impact 
physicians' perceptions and intentions with regard to an unapproved use 
of an approved drug product?
    RQ3: How are physicians' perceptions of and intentions toward an 
unapproved use of an approved drug product affected by the disclosure 
of specific unsupportive data versus disclosure statements about data 
that is not presented?
    RQ4: Do other variables (e.g., demographics) have an impact on 
these effects? These research questions will be examined in two medical 
conditions.
    We plan to conduct one pretest with 180 voluntary adult 
participants and one main study with 1,600 voluntary adult 
participants. Participants in the main study will be 510 oncologists in 
the oncology medical condition and 1,090 primary care physicians in the 
insomnia \2\ medical condition. All participants will be physicians who 
engage in patient care at least 50 percent of the time and do not work 
for a pharmaceutical company, marketing firm, or the Department of 
Health and Human Services. The gender, race/ethnicity, and ages of the 
participating physicians will be self-identified by participants. We 
will aim to include a mix of demographic segments to ensure a diversity 
of viewpoints and backgrounds. Power analyses were conducted to ensure 
adequate sample sizes to detect small to medium effects.
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    \2\ This medical condition was changed from diabetes to insomnia 
based on cognitive testing.
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    The studies will be conducted online. The pretest and main studies 
will have the same design and will follow the same procedure. The base 
stimulus in both the pretest and main studies will consist of a sample 
publication supporting an unapproved use of an approved drug product. 
Within each medical condition, participants will be randomly assigned 
to one of five test conditions (see figure 1). Following exposure to 
the stimuli, they will be asked to complete a questionnaire that 
assesses comprehension, perceptions, prescribing intentions, and 
demographics. In the pretest, participants will also answer questions 
about the study design and questionnaire.

                                                                 Figure 1--Study Design
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                         Accompanied by
                                                                  Accompanied by        disclosure that
                                           Accompanied by        disclosure with       unsupportive data        Accompanied by
                                           representative           summary of       exist and including a    general disclosure      No disclosure or
                                          publication with    unsupportive data and    citation for that      that unsupportive        material about
                                         unsupportive data     including a citation   data, but without a   data may exist and no    unsupportive data
                                                                  for that data          summary of the            citation
                                                                                       unsupportive data
--------------------------------------------------------------------------------------------------------------------------------------------------------
Medical Condition 1
Medical Condition 2
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    In the Federal Register of July 6, 2020 (85 FR 40300), FDA 
published a 60-day notice requesting public comment on the proposed 
collection of information. FDA received two submissions that were PRA-
related. Within these submissions FDA received multiple comments that 
the Agency has addressed below. For brevity, some public comments are 
paraphrased and, therefore, may not include the exact language used by 
the commenter. We assure commenters that the entirety of their comments 
was considered even if not fully captured by our paraphrasing in this 
document. The following acronyms are used here: HCP = healthcare 
provider; FDA and ``The Agency'' = Food and Drug Administration; OPDP = 
FDA's Office of Prescription Drug Promotion.
    (Comment 1) One comment asserted that FDA has not made the stimuli 
available for public comment and requested FDA publish a new 60-day 
notice after these comments have been addressed to give the public 
another opportunity to review and comment.
    (Response 1) We have provided the purpose of the study, the design, 
the population of interest, and the questionnaire to individuals upon 
request. These materials have proven sufficient for public comment and 
for academic experts to peer review the study successfully. Our full 
stimuli are under development during the PRA process. We do not make 
draft stimuli public during this time because of concerns that this may 
contaminate our participant pool and compromise the research.
    (Comment 2) One comment suggested that due to the task of reading 
the ``scientific publication'' stimuli and length of the questionnaire, 
FDA's estimation of the time it will take to complete the study is too 
low, and thus the burden of the information collection is inaccurate.
    (Response 2) The scientific ``publications'' in this study are each 
formatted as a one-page brief report. The text is presented in two 
columns and has the following headings: Introduction, Methods, Results, 
Discussion, and Limitations. The survey contains primarily closed-ended 
questions with Likert scales, and there are five open-ended questions. 
The expected time for the study is based on our prior experience 
conducting studies using similar protocols. We will also test the time 
during the pretest to ensure we stay within 20 minutes. If we determine 
the average time for completing the survey is greater than 20 minutes, 
we will revise the survey prior to fielding the main study.
    (Comment 3) One comment asserts this proposed study overlaps with 
other OPDP research currently in progress and references several 
studies.
    (Response 3) OPDP may conduct concurrent or overlapping studies on 
similar topics. While the studies referenced by the comment contribute 
to the evidence base for prescription drug promotion, prior studies had 
a different focus than the current study. Prior disclosure studies 
examined the effectiveness of disclosures in increasing understanding 
of efficacy claims (``Disclosures in Professional and Consumer 
Prescription Drug Promotion'') and the role of disclosures in 
mitigating potentially misleading presentations of preliminary or 
descriptive data about oncology drugs (``Disclosures of Descriptive

[[Page 31321]]

Presentations in Professional Oncology Prescription Drug Promotion''). 
The third study mentioned by the comment (``Physician Interpretation of 
Information About Prescription Drugs in Scientific Publications vs. 
Promotional Pieces'') investigates how physician perception of 
professional prescription drug communications is influenced by 
variations in information context, methodologic rigor of the clinical 
study, and time pressure.
    The current study uses an experimental design to compare various 
disclosure approaches for communicating unsupportive information about 
an unapproved new use. The findings of this study will help inform 
FDA's understanding about when disclosures about unsupportive data 
might be useful and what types of information should be included.
    (Comment 4) One comment expressed concern that the way in which the 
proposed research is described in the notice suggests that 
pharmaceutical firms disseminate supportive data but do not adequately 
disclose unsupportive data and that this ``implied bias'' may taint the 
collection and interpretation of the data.
    (Response 4) The sentences referred to in this comment appear in 
the Federal Register notices for the study to provide background and do 
not suggest that any firms are not following the recommendations in the 
two guidance documents referenced in that same background section. 
Rather, the background outlines the current FDA recommendations around 
disclosure of unsupportive data with these types of communications and 
the intent of the study to evaluate alternative approaches to the 
disclosure of unsupportive data. These background statements are not 
part of the materials that will be provided to study participants. 
Rather, study instructions tell participants only that they will be 
reviewing informational material about a prescription drug. No 
instructional materials provided to participants mention a 
pharmaceutical manufacturer. Therefore, we do not believe the 
collection and interpretation of study findings will be tainted or 
biased.
    (Comment 5) One comment suggested deleting or amending all 
questions about HCPs' prescribing decisions (Questions 4, 5, 10, 11, 14 
to 23) because these decisions are likely to be influenced by many 
factors and are outside of FDA's jurisdiction. This comment also 
asserted Question 10 is biased and worded to suggest that 
pharmaceutical firms disseminate supportive data but do not adequately 
disclose unsupportive data and suggests deleting or amending the 
question.
    (Response 5) As explained earlier, the Public Health Service Act 
authorizes FDA to conduct research relating to health information, and 
the FD&C Act authorizes FDA to conduct research relating to drugs and 
other FDA-regulated products in carrying out the provisions of the FD&C 
Act. The purpose of the current experimental study is to examine 
physicians' perceptions and behavioral intentions about an unapproved 
new use of an approved prescription drug when made aware of other data 
that are not supportive of the unapproved use and to evaluate the 
effectiveness of various disclosure approaches for communicating the 
unsupportive information. The study is within FDA's authority, and it 
will help to inform OPDP's work to help ensure that prescription drug 
information is truthful, balanced, and accurately communicated so that 
HCPs and consumers can make informed decisions.
    Questions 4 and 5 were intended to assess the impact of various 
disclosure manipulations on hypothetical prescribing decisions. 
Measuring behavioral intention is a common method of assessing 
knowledge and attitudes. There is substantial theoretical and empirical 
support for our approach, and strong behavioral intention has been 
shown to be predictive across a wide range of behaviors, including 
prescribing (Refs. 3 to 5). Based on the results of cognitive 
interviews, we have revised the measurement of behavioral intention to 
the following: ``If you were considering prescribing [DRUG] to a 
patient with [DISEASE], how important would the information in the 
[DISPLAY FILL] be in your decision making?''
    Questions 14 to 23 provide important information to address the 
research questions for this study, including sources of information for 
studies that do not support an off-label use as well as what aspects of 
the study would be most important to prescribers.
    Questions 10 and 11 are intended to evaluate whether there is 
enough information for the participants to make a prescribing decision 
based on the information in the brief study report and disclosure 
condition, not to assess the adequacy of pharmaceutical firms' 
disclosure of unsupportive data generally. Pharmaceutical firms are not 
referenced in any study materials, and these questions do not imply 
anything about their dissemination activities.
    (Comment 6) One comment recommended that the stimuli used to 
represent publications that reach contrary or different conclusions 
regarding the unapproved use be held to the same standards as the 
publication about the unapproved use. The comment suggests that this 
should include being considered scientifically sound by experts with 
scientific training and expertise to evaluate the safety or 
effectiveness of the drug or device.
    (Response 6) Both the supportive and unsupportive data provided to 
study participants either in the form of publications or summary 
information were reviewed by FDA experts with the requisite scientific 
training and experience to ensure they are appropriate, realistic, and 
of similar quality.
    (Comment 7) One comment recommended that the disclosure summary 
include specific information about the study design (i.e., study 
population and control group, key clinical endpoints (patient 
outcomes)), statistical significance (i.e., 95 percent confidence 
interval (CI), hazard ratio (HR) and p value) and other key data needed 
to determine benefit-risk ratio, and to include the product 
manufacturer and study sponsor.
    (Response 7) The proposed experimental study design includes five 
conditions to examine disclosure approaches for communicating 
unsupportive information. One of the five conditions provides study 
details as recommended by the comment. The other conditions have 
varying levels of detail about the unsupportive information about the 
unapproved new use of the prescription drug. There is also a control 
condition. We have purposely omitted the product manufacturer and study 
sponsor, as we know from other research this may unduly influence 
physicians' beliefs about the quality of the study (Ref. 6).
    (Comment 8) One comment suggested the disclosure correlate with the 
unapproved use described in the brief study report.
    (Response 8) We agree with this point. The disclosure and 
unsupportive data provided to participants are relevant to the 
unapproved use information participants initially review.
    (Comment 9) One comment suggested including hyperlinks to a 
citation for the data and including a representative publication with 
unsupportive data. This comment also suggested keeping track of how 
many study participants utilize the hyperlink.
    (Response 9) We developed the stimuli for this study using 
information from multiple scientific publications. Thus, the content 
does not represent one particular study, and we are unable

[[Page 31322]]

to provide hyperlinks. The revised design suggested in the comment may 
be a good suggestion for future research.
    Several comments suggested changes to the proposed questionnaire.
    (Comment 10) One comment suggested the instructions and lack of a 
``don't know'' response option may lead to forced guessing, which may 
undermine the utility of the study.
    (Response 10) We have deleted Question 10 and revised Question 11 
to read, ``What additional information, if any, did you need in order 
to consider prescribing [DRUG] for [DISEASE]?'' and deleted the 
instructions to ``give us your best guess on answers you do not know.''
    (Comment 11) One comment recommends FDA focus on HCPs' 
understanding of the data rather than asking about HCPs' preference for 
receiving information (Q19 and Q20).
    (Response 11) In response to the comment, we have removed Questions 
19 and 20 from the survey. Question 3 (now Q4) assesses physician 
understanding of the disclosure.
    (Comment 12) One comment suggested deleting or revising Questions 6 
and 9 because outside influences could skew the results.
    (Response 12) We are examining the impact of the various levels of 
information disclosure on participants' ratings of how informative they 
find the information and how likely they would be to search for 
additional information about the drug. Participants will be randomly 
assigned to a condition, and any individual differences or potential 
biases should be spread across experimental conditions. Thus, if we 
find differences between and among conditions, we can be reasonably 
certain that the study manipulations caused the differences. In 
consideration of this comment and feedback from peer reviewers, we have 
revised Question 6 (now Q7) to read, ``If you were considering 
prescribing [DRUG] for [DISEASE], how useful would the information 
[DISPLAY FILL] be?''
    (Comment 13) One comment suggested deleting or revising Question 8 
because it is unclear what it means for information to be ``credible'' 
in this context, and assessing credibility is very subjective.
    (Response 13) To clarify, this question reads, ``How credible is 
the information presented [DISPLAY FILL]?'' where [DISPLAY FILL] in 
Condition 1 is ``on page 2,'' in Conditions 2, 3, and 4 is the text of 
the disclosure condition to which they have been assigned, and in 
Condition 5 is ``the material.'' Thus, the information on which 
participants are being asked to give their opinion is specified. This 
question has been used in other studies without difficulty. Cognitive 
testing did not identify any difficulty with respondents' understanding 
of ``credible'' in this context.
    (Comment 14) One comment suggested amending questions that are 
worded ``contradict or do not support'' because physicians may view a 
lack of support (inconclusive findings) as different from contradictory 
findings.
    (Response 14) We did not intend for ``do not support'' to mean that 
the findings are inconclusive, although we acknowledge that it could be 
interpreted in such a way. Our intention was to refer to any findings 
that do not support the off-label use, such as findings that the drug 
is not effective for the off-label use or had increased risks. We 
explored potential confusion by asking separate questions on the 
concepts of ``contradict'' and ``inconclusive'' in cognitive testing. 
Cognitive testing suggested that respondents generally considered 
``findings that contradict'' and ``findings that have inconclusive 
support'' to be very similar concepts. While respondents agreed that 
the two were technically distinct, they tended to assess the two 
similarly in this context. To gather additional empirical data, we will 
retain these as separate items in the pretest.
    (Comment 15) One comment suggests many of the questions use 
unbalanced answer scales and recommends the answer scales should be 
balanced. For example, it may be difficult for participants to 
distinguish between ``A little'' and ``Somewhat'' or ``Very'' and 
``Extremely.'' Relatedly, the positive and negative options are not 
necessarily opposites (e.g., ``Agree'' or ``Disagree'') or parallel in 
intensity (e.g., ``Strongly Agree'' or ``Strongly Disagree'').
    (Response 15) We are not using a bipolar scale measuring opposites. 
Bipolar scales are typically used when there are two opposing 
possibilities (e.g., ``Strongly Agree'' or ``Strongly Disagree''). We 
chose a unipolar scale (e.g., ``not at all important'' to ``extremely 
important'') because the questions are asking about the relative 
presence or absence of a quality. In the case of usefulness, for 
instance, it makes more sense for the scale to begin with the absence 
of usefulness (``not at all useful'') rather than the opposite of 
usefulness (``extremely useless''). By beginning with ``Not at all,'' 
the order of the scale balances out the unidimensional nature of the 
question (Ref. 7). In fact, a key advantage of a unipolar scale is that 
it does not depend on defining opposites. The scale labels (i.e., ``Not 
at all,'' ``A little,'' ``Somewhat,'' ``Very,'' and ``Extremely'') have 
been tested in multiple studies, and evidence shows that participants 
are able to distinguish between the response options (see, for example, 
Ref. 8).
    (Comment 16) One comment expressed a lack of clarity on how 
Question 3 could yield interpretable responses and recommended 
replacing this open-ended question with closed-ended questions.
    (Response 16) Open-ended items are often used when the intention is 
to understand respondents' comprehension (Ref. 9). By asking 
respondents to rephrase the disclosure in their own words (as if 
explaining to a colleague), we can assess whether respondents 
understand the disclosure language as intended (Ref. 10). The responses 
to open-ended items are qualitative data and will be analyzed to assess 
what respondents feel to be key information (information included in 
their summary), what they feel is extraneous information (information 
not included in their summary), and any information that is confusing 
or unclear (information summarized incorrectly in the summary).
    (Comment 17) One comment suggested adding the following questions 
to the questionnaire:
    1. How often do you research and study off-label uses of approved 
drugs in a given week? With possible answer choices being ``never, 
rarely, occasionally, frequently.''
    2. How often are drug products used off-label in your practice? 
With possible answer choices being ``never, rarely, occasionally, 
frequently.''
    3. Would you prescribe this drug for (unapproved use of an approved 
drug product)? With possible answer choices being: ``yes, no, need more 
information.''
    (Response 17) For the first suggested question, we currently assess 
frequency of prescribing a drug off label (Q14) and the sources used to 
learn about off-label uses (old Q15 and old Q16, now Q17, Q18, and 
Q19). We think this combination of questions adequately covers the 
concept of how often participants prescribe and look for information 
about off-label uses. Regarding the response choices, the timeframe of 
a week is very narrow, and would be difficult to answer for those who 
prescribe off-label infrequently (e.g., a few times a year). In 
response to the comment and external peer review comment, we have 
revised response options for Q14 to be more specific (once a week or 
more often, several times each month, several times each

[[Page 31323]]

year, less than once a year, have never prescribed a drug for an off-
label use).
    For the second suggestion, we agree that the frequency of 
prescribing within the practice would be useful to capture and have 
added a question to measure this. No difficulties were identified with 
this question during cognitive testing.
    For the third suggestion, we agree that this would be a useful 
measure. In response to this comment and peer review, we have revised 
the questionnaire to ask about prescribing likelihood for the specific 
off-label use.
    FDA estimates the burden of this collection of information as 
follows:

                                                     Table 1--Estimated Annual Reporting Burden \1\
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                                                                   Number of
                   Activity                        Number of     responses per   Total annual          Average burden per response          Total hours
                                                  respondents     respondent       responses
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Pretest screener..............................             290               1             290  0.08 (5 minutes)........................              23
Pretest completes.............................             180               1             180  0.33 (20 minutes).......................              59
Main study screener...........................           2,526               1           2,526  0.08 (5 minutes)........................             202
Main study completes, Medical Condition 1.....             510               1             510  0.33 (20 minutes).......................             168
Main study completes, Medical Condition 2.....           1,090               1           1,090  0.33 (20 minutes).......................             360
                                               ---------------------------------------------------------------------------------------------------------
    Total.....................................           1,600  ..............  ..............  ........................................             812
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\1\ There are no capital costs or operating and maintenance costs associated with this collection of information.

II. References

    The following references marked with an asterisk (*) are on display 
at the Dockets Management Staff (HFA-305), Food and Drug 
Administration, 5630 Fishers Lane, Rm. 1061, Rockville, MD 20852, 240-
402-7500 and are available for viewing by interested persons between 9 
a.m. and 4 p.m., Monday through Friday; they also are available 
electronically at https://www.regulations.gov. References without 
asterisks are not on public display at https://www.regulations.gov 
because they have copyright restriction. Some may be available at the 
website address, if listed. References without asterisks are available 
for viewing only at the Dockets Management Staff. FDA has verified the 
website addresses, as of the date this document publishes in the 
Federal Register, but websites are subject to change over time.

*1. ``Distributing Scientific and Medical Publications on Unapproved 
New Uses--Recommended Practices--Revised Draft Guidance,'' 2014. 
https://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/UCM387652.pdf.
*2. ``Responding to Unsolicited Requests for Off-Label Information 
About Prescription Drugs and Medical Devices Draft Guidance,'' 2011. 
https://www.fda.gov/media/82660/download.
3. Ajzen, I. 1985. ``From Intentions to Actions: A Theory of Planned 
Behavior.'' In: Action Control: From Cognition to Behavior, edited 
by J. Kuhl and J. Beckmann, pp. 11-39. Berlin, Heidelber, New York: 
Springer-Verlag.
4. Murshid, M.A. and Z. Mohaidin. 2017. ``Models and Theories of 
Prescribing Decisions: A Review and Suggested a New Model.'' 
Pharmacy Practice, 15(2), 990.
*5. Sable M.R., L.R. Schwartz, P.J. Kelly, et al. 2006. ``Using the 
Theory of Reasoned Action to Explain Physician Intention to 
Prescribe Emergency Contraception.'' Perspectives on Sexual and 
Reproductive Health, 38(1), pp. 20-27. https://www.guttmacher.org/journals/psrh/2006/using-theory-reasoned-action-explain-physician-intention-prescribe.
6. Kesselheim, A.S., C.T. Robertson, J.A. Myers, et al. 2012. ``A 
Randomized Study of How Physicians Interpret Research Funding 
Disclosures.'' New England Journal of Medicine, 367(12), pp. 1119-
1127.
7. Schaeffer, N.C. and S. Presser. 2003. ``The Science of Asking 
Questions.'' Annual Review of Sociology, 29.
8. Fox, J., M. Earp, and R. Kaplan. 2020. ``Item Scale 
Performance.'' 75th Annual American Association for Public Opinion 
Research Virtual Conference.
9. Ozuru, Y., S. Briner, C.A. Kurby, et al. 2013. ``Comparing 
Comprehension Measured by Multiple-Choice and Open-Ended Questions. 
Canadian Journal of Experimental Psychology = Revue canadienne de 
psychologie experimentale, 67(3), pp. 215-227.
10. Tanur, J.M. (Ed.). 1992. Questions About Questions: Inquiries 
Into the Cognitive Bases of Surveys. Russell Sage Foundation.

    Dated: June 2, 2021.
Lauren K. Roth,
Acting Principal Associate Commissioner for Policy.
[FR Doc. 2021-12265 Filed 6-10-21; 8:45 am]
BILLING CODE 4164-01-P