Agency Information Collection Activities; Submission to OMB for Review and Approval; Public Comment Request, 72891-72892 [2013-28991]
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Federal Register / Vol. 78, No. 233 / Wednesday, December 4, 2013 / Notices
Filing Party: Patricia M. O’Neill;
Blank & Rome LLP; 600 New Hampshire
Ave. NW., Washington, DC 20037.
Synopsis: The Agreement would
authorize the Parties to share space on
a service operating between the U.S.
West Coast on the one hand, and ports
in Asia on the other hand.
By Order of the Federal Maritime
Commission.
Dated: November 29, 2013.
Karen V. Gregory,
Secretary.
[FR Doc. 2013–29013 Filed 12–3–13; 8:45 am]
BILLING CODE 6730–01–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Office of the Secretary
[Document Identifier: HHS–OS–20584–30D]
Agency Information Collection
Activities; Submission to OMB for
Review and Approval; Public Comment
Request
Office of the Secretary, HHS.
Notice.
AGENCY:
ACTION:
In compliance with section
3507(a)(1)(D) of the Paperwork
Reduction Act of 1995, the Office of the
Secretary (OS), Department of Health
and Human Services, has submitted an
Information Collection Request (ICR),
described below, to the Office of
Management and Budget (OMB) for
review and approval. The ICR is for a
new collection. Comments submitted
during the first public review of this ICR
will be provided to OMB. OMB will
accept further comments from the
public on this ICR during the review
and approval period.
DATES: Comments on the ICR must be
received on or before January 3, 2014.
ADDRESSES: Submit your comments to
OIRA_submission@omb.eop.gov or via
facsimile to (202) 395–5806.
FOR FURTHER INFORMATION CONTACT:
Information Collection Clearance staff,
Information.CollectionClearance@
hhs.gov or (202) 690–6162.
SUPPLEMENTARY INFORMATION: When
submitting comments or requesting
information, please include the
Information Collection Request Title
and document identifier HHS–OS–
20584–30D for reference.
Information Collection Request Title:
Survey on Long-Term Care Awareness
and Planning.
Abstract: With the aging of the
population, the demand and need for
long-term care is certain to grow, and
EMCDONALD on DSK67QTVN1PROD with NOTICES
SUMMARY:
VerDate Mar<15>2010
17:58 Dec 03, 2013
Jkt 232001
with it public and private expenditures.
Unlike for medical care, few people
have private long-term care insurance
and Medicare does not cover long-term
care. Many older adults pay for longterm care out of their income and
personal savings until they are poor
enough to qualify for Medicaid, a
means-tested welfare program (Wiener
et al., 2013). Others, in an effort to avoid
exhausting their resources and relying
on Medicaid, depend on unpaid family
support or go without needed services.
To help inform federal policy on longterm care financing and service
delivery, this study, sponsored by HHS/
ASPE, will collect new data on longterm care awareness and how people
plan for retirement through a web-based
survey. The main goals of the survey are
(1) to understand consumer attitudes,
knowledge, and experiences with longterm care, how people plan for the risk
of needing long-term care, and people’s
preferences among public policies on
long-term care financing; and (2) to
examine consumer preferences for
specific features of individual long-term
care insurance policies (e.g., benefit
levels, length of coverage, and
sponsorship). The findings from the
survey will be used to inform federal
policy regarding public and private
long-term care financing. The first part
of the survey addresses the first set of
goals, while a stated preference survey
method, known as a discrete choice
experiment (DCE) or conjoint analysis,
in the second part of the survey
addresses the second set of goals. RTI
has designed and cognitively tested the
survey instrument and will conduct the
analysis; GfK will administer the
survey.
The survey instrument was developed
by RTI in close cooperation with ASPE
and in consultation with a TEP and
other experts on long-term care and
long-term care insurance, and
underwent two distinct rounds of
cognitive testing of nine participants
each. The survey has two components.
The first asks questions on (1) the risk
of needing long-term care; (2)
psychological characteristics,
knowledge, skills, and experience; (3)
beliefs and concerns about long-term
care; (4) retirement and long-term care
planning; (5) information gathering and
decision making about insurance; and
(6) core demographic and
socioeconomic information. The second
component of the survey is a DCE,
which seeks to understand respondents’
preferences about specific long-term
care insurance features. In the DCE,
respondents will complete a series of
comparison questions in which they
PO 00000
Frm 00033
Fmt 4703
Sfmt 4703
72891
select their most preferred choice
between two alternative insurance
products. Some scenarios will also offer
respondents a third option to not buy
either of the insurance policies; other
scenarios will ‘‘require’’ respondents to
choose between two policies. Both types
of hypothetical comparisons provide
quantitative data on the relative
preferences and importance of different
insurance features, including price.
Potentially sensitive questions
concerning disability status, medical
conditions, and income and assets have
been extensively vetted with ASPE, the
TEP, other experts, and the participants
in the cognitive testing.
Need and Proposed Use of the
Information: Several issues make this
data collection effort necessary. In 2011,
the United States spent $211 billion on
long-term care, approximately 8 percent
of total national health expenditures, of
which two-thirds was public spending,
primarily Medicaid (Centers for
Medicare & Medicaid Services [CMS],
2012; O’Shaughnessy, 2013). Total longterm care spending is about 1.4 percent
of the gross domestic product; public
spending is about 1 percent of the gross
domestic product (Author’s calculation
based on CMS, 2012). The number of
aging and disabled individuals in the
population is expected to continue to
grow and, with it, the need for
additional public financing. The
Organization for Economic Co-operation
and Development (2006) estimates that
public long-term care expenditures for
older people in the United States will
double to triple as a percentage of the
gross domestic product between 2005
and 2050. As a result, the government
has an increased need for information
on the general public’s knowledge about
long-term care and how people plan to
organize and pay for their possible longterm care needs. HHS/ASPE is
particularly interested in the views of
the public on different potential public
policies on long-term care financing and
in what design features of long-term
care insurance are most important.
Once the data are received, RTI will
analyze them. The first set of analyses
will address domains in the first part of
the survey and will include descriptive
and multivariate analyses of the extent
to which respondents plan for long-term
care and their preferences among public
policies for long-term care financing. In
addition to sociodemographic variables
such as financial literacy, the extent to
which respondents are ‘‘planners’’ or
‘‘nonplanners,’’ the experience of
respondents with long-term care, and
risk tolerance will be important
indicator variables. Descriptive analyses
will be conducted to describe the
E:\FR\FM\04DEN1.SGM
04DEN1
72892
Federal Register / Vol. 78, No. 233 / Wednesday, December 4, 2013 / Notices
overall sample along a number of
relevant dimensions (e.g., assessment of
risk of needing long-term care). The
analysis will also characterize the
sample by key indicator variables, to
analyze the role of long-term care
planning within the context of overall
retirement planning, and to understand
long-term care use and payment and
policy preferences. Multivariate
analyses will also be conducted,
primarily of planning activity for longterm care and preferences for public
policies for long-term care financing.
The second set of analyses will
address the DCEs that respondents
conducted to evaluate various features
of long-term care insurance policies.
DCEs are a form of conjoint analysis, an
econometric method used to estimate
the relative importance that respondents
place on the different features of an
individual product (e.g., for long-term
care insurance, such features as length
of coverage, benefit period, benefit
amount, whether there is medical
underwriting, and sponsorship). These
data will be analyzed using standard
discrete choice econometric techniques
in which the parameter estimates in the
choice models indicate the relative
importance to respondents of different
features of long-term care insurance.
Thus, the ratio of two parameters
indicates the marginal rate of
substitution between them (i.e., the rate
at which respondents changed their
selections when attribute levels were
varied).
Likely Respondents: Survey
invitations will be sent by the data
collection partner, GfK, to a random
sample of U.S. adults aged 40–70
participating in its standing Internet
panel, KnowledgePanel. Adults who
read the survey invitation and desire to
participate will be redirected to a
secure, password-protected Web site
hosted by GfK which contains the next
two forms. GfK will send 23,077
invitations to participate to members of
the sample, yielding an estimated
15,000 completed questionnaires based
on an estimated overall response rate of
65 percent.
Burden Statement: The response
burden estimates for this data collection
are shown in Exhibit A.12–1. An IRBapproved consent form must be
acknowledged by respondents before
they are allowed to begin the survey.
Respondents will be asked to read basic
information about the research study,
the study purpose, procedures, duration
of the survey, possible risks or
discomforts from the survey, benefits of
participating, incentive for
participation, privacy protections,
individuals’ rights, and whom to contact
with questions. Respondents will then
be required to click a box indicating that
they have read the information, confirm
that they are between the ages of 40 and
70, and that they voluntarily consent to
participate in the study or decline to
participate. Only those who consent and
certify that they meet the age
qualifications will continue to the full
survey instrument. Estimates for the
time needed to complete the survey are
based on cognitive testing of the
questionnaire conducted during Fall
2012 in Durham, North Carolina, and
Washington, DC. As part of the
cognitive testing, the length of time to
complete the questionnaire was
measured. The cognitive testing suggests
that the questionnaire requires
approximately 45 minutes to complete.
The initial series of questions take
approximately 25 minutes to complete
and the DCE section takes
approximately 15–20 minutes to
complete. Each respondent will answer
the questionnaire only once and there
are no planned follow-up surveys.
Respondents will have the ability to
pause the survey and restart it at a later
time at their convenience.
TOTAL ESTIMATED ANNUALIZED BURDEN—HOURS
Task
Number of
respondents
Burden per
response
(hours)
Estimated total
hours of burden
Self-administered, Web-based questionnaire ..................................................................
15,000
0.75
11,250
Source: RTI International estimates.
Darius Taylor,
Deputy, Information Collection Clearance
Officer.
Parkway, Suite 750, Rockville, MD
20852, (240) 453–8800.
SUPPLEMENTARY INFORMATION:
[FR Doc. 2013–28991 Filed 12–3–13; 8:45 am]
BILLING CODE 4151–05–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Office of the Secretary
Findings of Research Misconduct
AGENCY:
EMCDONALD on DSK67QTVN1PROD with NOTICES
ACTION:
Office of the Secretary, HHS.
Notice.
Notice is hereby given that
the Office of Research Integrity (ORI)
has taken final action in the following
case: Timothy Sheehy, B.A., BSc., SAICFrederick, Inc.
SUMMARY:
FOR FURTHER INFORMATION CONTACT:
David E. Wright, Ph.D., Director, Office
of Research Integrity, 1101 Wootton
VerDate Mar<15>2010
17:09 Dec 03, 2013
Jkt 232001
Timothy Sheehy, B.A., BSc., SAICFrederick, Inc.: Based on the report of an
investigation conducted by SAICFrederick, Inc., and additional analysis
conducted by ORI in its oversight
review, ORI found that Mr. Timothy
Sheehy, former Manager, DNA
Extraction and Staging Laboratory
(DESL), SAIC-Frederick, Inc., the
Operations and Technical Services
(OTC) Contractor for the Frederick
National Laboratory for Cancer Research
(FNLCR), Frederick, MD, engaged in
research misconduct in research
supported by National Cancer Institute
(NCI), National Institutes of Health
(NIH), contract HHSN2612008000001E
awarded by FNLCR/NCI, NIH, to SAICFrederick, Inc., and the intramural
program at the Occupational and
Environmental Epidemiology Branch,
PO 00000
Frm 00034
Fmt 4703
Sfmt 4703
Division of Cancer Epidemiology and
Genetics, NCI.
ORI found that the Respondent
engaged in research misconduct by
fabricating and/or falsifying U.S. Public
Health Service (PHS)-supported data in
Table 1 included in Cancer Epidemiol
Biomarkers Prev 19(4):973–977, 2010
(hereafter referred to as the ‘‘CEBP
paper’’).
Specifically, ORI found that
Respondent fabricated the quantitative
and qualitative data for RNA and DNA
purportedly extracted from 900
formalin-fixed, paraffin-embedded
(FFPE) colorectal tissue samples
presented in Table 1 of the CEBP paper
and falsely reported successful
methodology to simultaneously recover
nucleic acids from FFPE tissue
specimens, when neither the extractions
nor analyses of the FFPE samples were
done. Thus, the main conclusions of the
CEBP paper are based on fabricated data
and are false.
E:\FR\FM\04DEN1.SGM
04DEN1
]]>Agencies
[Federal Register Volume 78, Number 233 (Wednesday, December 4, 2013)]
[Notices]
[Pages 72891-72892]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2013-28991]
=======================================================================
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Office of the Secretary
[Document Identifier: HHS-OS-20584-30D]
Agency Information Collection Activities; Submission to OMB for
Review and Approval; Public Comment Request
AGENCY: Office of the Secretary, HHS.
ACTION: Notice.
-----------------------------------------------------------------------
SUMMARY: In compliance with section 3507(a)(1)(D) of the Paperwork
Reduction Act of 1995, the Office of the Secretary (OS), Department of
Health and Human Services, has submitted an Information Collection
Request (ICR), described below, to the Office of Management and Budget
(OMB) for review and approval. The ICR is for a new collection.
Comments submitted during the first public review of this ICR will be
provided to OMB. OMB will accept further comments from the public on
this ICR during the review and approval period.
DATES: Comments on the ICR must be received on or before January 3,
2014.
ADDRESSES: Submit your comments to OIRA_submission@omb.eop.gov or via
facsimile to (202) 395-5806.
FOR FURTHER INFORMATION CONTACT: Information Collection Clearance
staff, Information.CollectionClearance@hhs.gov or (202) 690-6162.
SUPPLEMENTARY INFORMATION: When submitting comments or requesting
information, please include the Information Collection Request Title
and document identifier HHS-OS-20584-30D for reference.
Information Collection Request Title: Survey on Long-Term Care
Awareness and Planning.
Abstract: With the aging of the population, the demand and need for
long-term care is certain to grow, and with it public and private
expenditures. Unlike for medical care, few people have private long-
term care insurance and Medicare does not cover long-term care. Many
older adults pay for long-term care out of their income and personal
savings until they are poor enough to qualify for Medicaid, a means-
tested welfare program (Wiener et al., 2013). Others, in an effort to
avoid exhausting their resources and relying on Medicaid, depend on
unpaid family support or go without needed services. To help inform
federal policy on long-term care financing and service delivery, this
study, sponsored by HHS/ASPE, will collect new data on long-term care
awareness and how people plan for retirement through a web-based
survey. The main goals of the survey are (1) to understand consumer
attitudes, knowledge, and experiences with long-term care, how people
plan for the risk of needing long-term care, and people's preferences
among public policies on long-term care financing; and (2) to examine
consumer preferences for specific features of individual long-term care
insurance policies (e.g., benefit levels, length of coverage, and
sponsorship). The findings from the survey will be used to inform
federal policy regarding public and private long-term care financing.
The first part of the survey addresses the first set of goals, while a
stated preference survey method, known as a discrete choice experiment
(DCE) or conjoint analysis, in the second part of the survey addresses
the second set of goals. RTI has designed and cognitively tested the
survey instrument and will conduct the analysis; GfK will administer
the survey.
The survey instrument was developed by RTI in close cooperation
with ASPE and in consultation with a TEP and other experts on long-term
care and long-term care insurance, and underwent two distinct rounds of
cognitive testing of nine participants each. The survey has two
components. The first asks questions on (1) the risk of needing long-
term care; (2) psychological characteristics, knowledge, skills, and
experience; (3) beliefs and concerns about long-term care; (4)
retirement and long-term care planning; (5) information gathering and
decision making about insurance; and (6) core demographic and
socioeconomic information. The second component of the survey is a DCE,
which seeks to understand respondents' preferences about specific long-
term care insurance features. In the DCE, respondents will complete a
series of comparison questions in which they select their most
preferred choice between two alternative insurance products. Some
scenarios will also offer respondents a third option to not buy either
of the insurance policies; other scenarios will ``require'' respondents
to choose between two policies. Both types of hypothetical comparisons
provide quantitative data on the relative preferences and importance of
different insurance features, including price. Potentially sensitive
questions concerning disability status, medical conditions, and income
and assets have been extensively vetted with ASPE, the TEP, other
experts, and the participants in the cognitive testing.
Need and Proposed Use of the Information: Several issues make this
data collection effort necessary. In 2011, the United States spent $211
billion on long-term care, approximately 8 percent of total national
health expenditures, of which two-thirds was public spending, primarily
Medicaid (Centers for Medicare & Medicaid Services [CMS], 2012;
O'Shaughnessy, 2013). Total long-term care spending is about 1.4
percent of the gross domestic product; public spending is about 1
percent of the gross domestic product (Author's calculation based on
CMS, 2012). The number of aging and disabled individuals in the
population is expected to continue to grow and, with it, the need for
additional public financing. The Organization for Economic Co-operation
and Development (2006) estimates that public long-term care
expenditures for older people in the United States will double to
triple as a percentage of the gross domestic product between 2005 and
2050. As a result, the government has an increased need for information
on the general public's knowledge about long-term care and how people
plan to organize and pay for their possible long-term care needs. HHS/
ASPE is particularly interested in the views of the public on different
potential public policies on long-term care financing and in what
design features of long-term care insurance are most important.
Once the data are received, RTI will analyze them. The first set of
analyses will address domains in the first part of the survey and will
include descriptive and multivariate analyses of the extent to which
respondents plan for long-term care and their preferences among public
policies for long-term care financing. In addition to sociodemographic
variables such as financial literacy, the extent to which respondents
are ``planners'' or ``nonplanners,'' the experience of respondents with
long-term care, and risk tolerance will be important indicator
variables. Descriptive analyses will be conducted to describe the
[[Page 72892]]
overall sample along a number of relevant dimensions (e.g., assessment
of risk of needing long-term care). The analysis will also characterize
the sample by key indicator variables, to analyze the role of long-term
care planning within the context of overall retirement planning, and to
understand long-term care use and payment and policy preferences.
Multivariate analyses will also be conducted, primarily of planning
activity for long-term care and preferences for public policies for
long-term care financing.
The second set of analyses will address the DCEs that respondents
conducted to evaluate various features of long-term care insurance
policies. DCEs are a form of conjoint analysis, an econometric method
used to estimate the relative importance that respondents place on the
different features of an individual product (e.g., for long-term care
insurance, such features as length of coverage, benefit period, benefit
amount, whether there is medical underwriting, and sponsorship). These
data will be analyzed using standard discrete choice econometric
techniques in which the parameter estimates in the choice models
indicate the relative importance to respondents of different features
of long-term care insurance. Thus, the ratio of two parameters
indicates the marginal rate of substitution between them (i.e., the
rate at which respondents changed their selections when attribute
levels were varied).
Likely Respondents: Survey invitations will be sent by the data
collection partner, GfK, to a random sample of U.S. adults aged 40-70
participating in its standing Internet panel, KnowledgePanel. Adults
who read the survey invitation and desire to participate will be
redirected to a secure, password-protected Web site hosted by GfK which
contains the next two forms. GfK will send 23,077 invitations to
participate to members of the sample, yielding an estimated 15,000
completed questionnaires based on an estimated overall response rate of
65 percent.
Burden Statement: The response burden estimates for this data
collection are shown in Exhibit A.12-1. An IRB-approved consent form
must be acknowledged by respondents before they are allowed to begin
the survey. Respondents will be asked to read basic information about
the research study, the study purpose, procedures, duration of the
survey, possible risks or discomforts from the survey, benefits of
participating, incentive for participation, privacy protections,
individuals' rights, and whom to contact with questions. Respondents
will then be required to click a box indicating that they have read the
information, confirm that they are between the ages of 40 and 70, and
that they voluntarily consent to participate in the study or decline to
participate. Only those who consent and certify that they meet the age
qualifications will continue to the full survey instrument. Estimates
for the time needed to complete the survey are based on cognitive
testing of the questionnaire conducted during Fall 2012 in Durham,
North Carolina, and Washington, DC. As part of the cognitive testing,
the length of time to complete the questionnaire was measured. The
cognitive testing suggests that the questionnaire requires
approximately 45 minutes to complete. The initial series of questions
take approximately 25 minutes to complete and the DCE section takes
approximately 15-20 minutes to complete. Each respondent will answer
the questionnaire only once and there are no planned follow-up surveys.
Respondents will have the ability to pause the survey and restart it at
a later time at their convenience.
Total Estimated Annualized Burden--Hours
----------------------------------------------------------------------------------------------------------------
Number of Burden per Estimated total
Task respondents response (hours) hours of burden
----------------------------------------------------------------------------------------------------------------
Self-administered, Web-based questionnaire............. 15,000 0.75 11,250
----------------------------------------------------------------------------------------------------------------
Source: RTI International estimates.
Darius Taylor,
Deputy, Information Collection Clearance Officer.
[FR Doc. 2013-28991 Filed 12-3-13; 8:45 am]
BILLING CODE 4151-05-P
