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Federal Register / Vol. 77, No. 233 / Tuesday, December 4, 2012 / Notices
Respondents for this data collection are
individuals representing schools, school
districts, and public health agencies.
CDC has determined that the
information to be collected is necessary
to study the impact of a public health
emergency as it relates to community
mitigation activities. The information
has been used to help understand how
CDC guidance on school dismissals has
been implemented at the state and local
levels nationwide and to help determine
how this guidance might be more
helpful in the future. Specifically, data
collection will be utilized to:
1. Determine the scope and extent of
school dismissals in the United States
during public health emergencies:
a. Prospectively monitor data to
identify schools and school districts that
have high dismissal rates due to
slow the spread of infection). The
respondents have the option of
providing their position titles, phone
number of the institution they represent,
and email address. The estimates for
burden hours are derived from the 627
total number of reported closures during
the fall in 2009. We have multiplied that
number by four as an estimate for a
calendar year. Respondents are
providing this information as public
health and education officials and
representatives of their agencies and
organizations and not as private
citizens. The data collection does not
involve personally identifiable
information and should have no impact
on an individual’s privacy. There are no
costs to respondents other than their
time.
infectious diseases, or that implement
pre-emptive school dismissals due to
other public health emergencies due to
other reasons when recommended by
public health officials.
b. Retrospectively review data
collected to describe impact school
dismissals had on students and teachers
2. Describe the characteristics of
schools and school districts with high
dismissal rates due to infectious
diseases
Respondents are required to identify
their respective institutions by
providing non-sensitive information, to
include the name and zip code of
schools and school districts and their
dates of closure, as well as reason for
the dismissal (due to illness rates among
students and staff or pre-emptive to
ESTIMATED ANNUALIZED BURDEN HOURS
Average
burden per
response
(in hours)
Total burden
(in hours)
Form name
School, school district, or public
health authorities.
School Dismissal Monitoring Form ..
2500
1
5/60
208
Total ...........................................
...........................................................
........................
........................
........................
208
Dated: November 26, 2012.
Ron A. Otten,
Director, Office of Scientific Integrity (OSI),
Office of the Associate Director for Science
(OADS), Office of the Director, Centers for
Disease Control and Prevention.
[FR Doc. 2012–29175 Filed 12–3–12; 8:45 am]
BILLING CODE 4163–18–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Disease Control and
Prevention
[60 Day–13–0852]
Proposed Data Collections Submitted
for Public Comment and
Recommendations
mstockstill on DSK4VPTVN1PROD with
No. of
responses per
respondent
No. of
respondents
Type of respondent
In compliance with the requirement
of Section 3506(c)(2)(A) of the
Paperwork Reduction Act of 1995 for
opportunity for public comment on
proposed data collection projects, the
Centers for Disease Control and
Prevention (CDC) will publish periodic
summaries of proposed projects. To
request more information on the
proposed projects or to obtain a copy of
the data collection plans and
instruments, call 404–639–7570 and
send comments to Ron Otten, 1600
VerDate Mar<15>2010
17:31 Dec 03, 2012
Jkt 229001
Clifton Road, MS–D74, Atlanta, GA
30333 or send an email to [email protected].
Comments are invited on: (a) Whether
the proposed collection of information
is necessary for the proper performance
of the functions of the agency, including
whether the information shall have
practical utility; (b) the accuracy of the
agency’s estimate of the burden of the
proposed collection of information; (c)
ways to enhance the quality, utility, and
clarity of the information to be
collected; and (d) ways to minimize the
burden of the collection of information
on respondents, including through the
use of automated collection techniques
or other forms of information
technology. Written comments should
be received within 60 days of this
notice.
Proposed Project
Prevalence Survey of HealthcareAssociated Infections (HAIs) and
Antimicrobial Use in U.S. Acute Care
Hospitals—Extension (0920–0852
expiration 5/31/13)—National Center for
Emerging and Zoonotic Infectious
Diseases, Centers for Disease Control
and Prevention (CDC).
Background and Brief Description
Preventing healthcare-associated
infections (HAIs) is a CDC priority. An
essential step in reducing the
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Fmt 4703
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occurrence of HAIs is to estimate
accurately the burden of these infections
in U.S. hospitals, and to describe the
types of HAIs and causative organisms.
The scope and magnitude of HAIs in the
United States were last directly
estimated in the 1970s in which
comprehensive data were collected from
a sample of 338 hospitals; 5% of
hospitalized patients acquired an
infection not present at the time of
admission. Because of the substantial
resources necessary to conduct hospitalwide surveillance in an ongoing
manner, most of the more than 4,500
hospitals now reporting to the CDC’s
current HAI surveillance system, the
National Healthcare Safety Network
(NHSN 0920–0666 expiration 1/31/15),
focus instead on device-associated and
procedure-associated infections in
selected patient locations, and do not
report data on all types of HAIs
occurring hospital-wide. Periodic
assessments of the magnitude and types
of HAIs occurring in all patient
populations within acute care hospitals
are needed to inform decisions by local
and national policy makers and by
hospital infection control personnel
regarding appropriate targets and
strategies for HAI prevention.
In 2008–2009 in the previous project
period, CDC developed a pilot protocol
for a HAI point prevalence survey,
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Federal Register / Vol. 77, No. 233 / Tuesday, December 4, 2012 / Notices
conducted over a 1-day period at each
of nine acute care hospitals in one U.S.
city. This pilot phase was followed in
2010 by a phase 2, limited roll-out HAI
and antimicrobial use prevalence
survey, conducted during July and
August in 22 hospitals across 10
Emerging Infections Program sites (in
California, Colorado, Connecticut,
Georgia, Maryland, Minnesota, New
Mexico, New York, Oregon, and
Tennessee). Experience gained in the
phase 1 and phase 2 surveys was used
to conduct a full-scale, phase 3 survey
in 2011, involving 183 hospitals in the
10 EIP sites. Over 11,000 patients were
surveyed, and analysis of HAI and
antimicrobial use data is ongoing at this
time.
An extension of the prevalence
survey’s existing OMB approval is
sought, to allow a repeat HAI and
antimicrobial use prevalence survey to
be performed in 2014. A repeat survey
will allow further refinement of survey
methodology and assessment of changes
over time in prevalence, HAI
distribution, and pathogen distribution.
It will also allow for a re-assessment of
the burden of antimicrobial use, at a
time when antimicrobial stewardship is
an area of active engagement in many
acute care hospitals. The 2014 survey
will be performed in a sample of up to
500 acute care hospitals, drawn from the
acute care hospital populations in each
of the 10 EIP sites (and including
participation from many hospitals that
participated in prior phases of the
survey). Infection prevention personnel
in participating hospitals and EIP site
personnel will collect demographic and
clinical data from the medical records of
a sample of eligible patients in their
hospitals on a single day in 2014, to
identify CDC-defined HAIs. The surveys
will provide data for CDC to make
estimates of the prevalence of HAIs
across this sample of U.S. hospitals as
well as the distribution of infection
types and causative organisms. These
data can be used to work toward
reducing and eliminating healthcareassociated infections—a Department of
Health and Human Services (DHHS)
Healthy People 2020 objective (http://
www.healthypeople.gov/2020/topics
objectives2020/overview.aspx?
topicid=17). This survey project also
supports the CDC Winnable Battle goal
of improving national surveillance for
healthcare-associated infections (http://
www.cdc.gov/winnablebattles/
Goals.html).
This survey assumes one respondent
per hospital, a median of 75 patients per
hospital, and average data collection
time of 15 minutes per patient. There
are no costs to respondents other than
their time. The estimated annualized
burden is 9,375 hours.
ESTIMATED ANNUALIZED BURDEN HOURS
Number of
responses per
respondent
Average
burden per
response in
hours
Total burden
(in hours)
Form name
Infection Prevention Personnel in
Participating Hospitals.
Data Collection Form .......................
500
75
15/60
9,375
Total ...........................................
...........................................................
........................
........................
........................
9,375
Dated: November 27, 2012.
Ron Otten,
Director, Office of Scientific Integrity, Office
of the Associate Director for Science, Office
of the Director, Centers for Disease Control
and Prevention.
[FR Doc. 2012–29173 Filed 12–3–12; 8:45 am]
BILLING CODE 4163–18–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Disease Control and
Prevention
[60 Day-13–13DB]
Proposed Data Collections Submitted
for Public Comment and
Recommendations
mstockstill on DSK4VPTVN1PROD with
No. of
respondents
Respondents
In compliance with the requirement
of Section 3506(c)(2)(A) of the
Paperwork Reduction Act of 1995 for
opportunity for public comment on
proposed data collection projects, the
Centers for Disease Control and
Prevention (CDC) will publish periodic
summaries of proposed projects. To
request more information on the
proposed projects or to obtain a copy of
the data collection plans and
VerDate Mar<15>2010
17:31 Dec 03, 2012
Jkt 229001
instruments, call 404–639–7570 and
send comments to Kimberly S. Lane,
1600 Clifton Road, MS–D74, Atlanta,
GA 30333 or send an email to
[email protected].
Comments are invited on: (a) Whether
the proposed collection of information
is necessary for the proper performance
of the functions of the agency, including
whether the information shall have
practical utility; (b) the accuracy of the
agency’s estimate of the burden of the
proposed collection of information; (c)
ways to enhance the quality, utility, and
clarity of the information to be
collected; and (d) ways to minimize the
burden of the collection of information
on respondents, including through the
use of automated collection techniques
or other forms of information
technology. Written comments should
be received within 60 days of this
notice.
Proposed Project
Emerging Infections Program—New—
National Center for Emerging and
Zoonotic Infectious Diseases (NCEZID),
Centers for Disease Control and
Prevention (CDC).
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Background and Brief Description
The Emerging Infections Programs
(EIPs) are population-based centers of
excellence established through a
network of state health departments
collaborating with academic
institutions; local health departments;
public health and clinical laboratories;
infection control professionals; and
healthcare providers. EIPs assist in
local, state, and national efforts to
prevent, control, and monitor the public
health impact of infectious diseases.
Various parts of the EIP have received
separate Office of Management and
Budget (OMB) clearances (Active
Bacterial Core Surveillance [ABCs]—
OMB number 0920–0802 and All Age
Influenza Hospitalization
Surveillance—OMB number 0920–
0852); however this request seeks to
have these core EIP activities under one
clearance.
Activities of the EIPs fall into the
following general categories: (1) Active
surveillance; (2) applied public health
epidemiologic and laboratory activities;
(3) implementation and evaluation of
pilot prevention/intervention projects;
and (4) flexible response to public
health emergencies. Activities of the
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04DEN1
File Type | application/pdf |
File Modified | 2012-12-04 |
File Created | 2012-12-04 |