Appendix E. 60-day FRN

Federal Register / Vol. 71, No. 64 / Tuesday, April 4, 2006 / Notices
pre- and post-evaluation time
(approximately 10 hours). Results from
this process will influence the
development of composite measures for
the AHRQ Quality indicators. Beginning
in late April/early May through early
August, selected nominees will be asked
to participate in the following activities:
IQI/PSI Sub-Workgroup Activities
1. Provide evaluative comments on
current methodology for composite
indicators (2.0 hours) and participate in
subsequent General Workgroup call (1.0
hour);
2. Participate in one Sub-Workgroup
conference call to discuss suggested
changes to the current composite
indicator methodology (1.5 hours);
3. Provide evaluative comments on
AHRQ’s new draft or revised
methodology (1.5 hour);
4. Participate in second Subgroup call
to respond to each others’ comments
and questions or provide additional
clarifications regarding draft
methodology (1.5 hours); and
5. Participate in second General
workgroup call. Provide suggestions for
summary document for public comment
(2.0 hours).
The Workgroup will conduct business
by telephone, e-mail, or other electronic
means as needed.
FOR FURTHER INFORMATION CONTACT:
Mamatha Pancholi, Center for Delivery,
Organization, and Markets, Agency for
Healthcare Research and Quality, 540
Gaither Road, Rockville, MD 20850;
Phone: (301) 427–1470; Fax: (301) 427–
1430; E-mail:
[email protected]; or
Marybeth Farquhar, Center for
Delivery, Organization, and Markets,
Agency for Healthcare Research and
Quality, 540 Gaither Road, Rockville,
MD 20850; Phone: (301) 427–1317; Fax:
(301) 427–1430; E-mail:
[email protected].
SUPPLEMENTARY INFORMATION:

sroberts on PROD1PC70 with NOTICES

Background
The AHRQ Quality Indicators (AHRQ
QIs) are a unique set of measures of
health care quality that make use of
readily available hospital inpatient
administrative data. The QIs have been
used for various purposes. Some of
these include tracking, hospital selfassessment, reporting of hospitalspecific quality or pay for performance.
The AHRQ QIs are provider- and arealevel quality indicators and currently
consist of four modules: The Prevention
Quality Indicators (PQI), the Inpatient
Quality Indicators, the Patient Safety
Indicators (PSI) and the Pediatric
Quality Indicators (PedsQIs). In

VerDate Aug<31>2005

18:55 Apr 03, 2006

Jkt 208001

response to feedback from the AHRQ QI
user community, AHRQ is committed to
developing composite measures in an
effort to provide an overall view of
quality that is complete, useful and
easily understandable to consumers and
others within the health care field.
Dated: March 29, 2006.
Carolyn M. Clancy,
Director.
[FR Doc. 06–3207 Filed 4–3–06; 8:45 am]
BILLING CODE 4160–90–M

DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Disease Control and
Prevention
[60Day–06–06BC]

Proposed Data Collections Submitted
for Public Comment and
Recommendations
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 404–639–5960 and
send comments to Seleda Perryman,
CDC Assistant Reports Clearance
Officer, 1600 Clifton Road, MS–D74,
Atlanta, GA 30333 or send an e-mail 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
National Survey of the Mining
Population-New-National Institute for
Occupational Safety and Health
(NIOSH), Centers for Disease Control
and Prevention (CDC).

PO 00000

Frm 00032

Fmt 4703

Sfmt 4703

16787

Background and Brief Description
Surveillance of occupational injuries,
illnesses, and exposures has been an
integral part of the work of the National
Institute for Occupational Safety and
Health (NIOSH) since its creation by the
Occupational Safety and Health Act in
1970. To improve its surveillance
capability related to occupational risks
in mining, NIOSH is planning to
conduct a national survey of mines and
mine employees. No national surveys
have specifically targeted the mining
labor force since the 1986 Mining
Industry Population Survey (MIPS). The
mining industry has experienced many
changes in the last 20 years;
consequently, the MIPS data are no
longer representative of the current
mining industry labor force.
NIOSH conducted a pilot study for
the proposed national survey in the fall
of 2004 (OMB No. 0920–0633, Exp. Date
3/31/2005). The pilot study was
designed to emulate the main study
design in order to evaluate the
effectiveness of the recruitment
materials, questionnaire, and survey
procedures in acquiring complete, high
quality data from a sample of 45 mining
operations. Objective data collected in
the pilot study included overall
response rates and individual item
response rates. Subjective data were
collected using telephone logs, and
participant and non-participant
debriefing interviews. Data captured in
the pilot study were used to guide
improvements to maximize the
performance of the various components
of the full-scale study.
The proposed national survey will be
based upon a probability sample of
mining operations and their employees.
The survey will be conducted in the five
major mining sectors (coal, metal,
nonmetal, stone, and sand and gravel).
The major objectives of the survey will
be to: (1) Obtain denominator data so
that mine accident, injury, and illness
reports can be evaluated in relation to
the population at risk; (2) understand
the demographic and occupational
characteristics of the mining industry
workforce; (3) estimate the number and
occupational characteristics of
independent contractor employees used
by mining operations; and (4) obtain
mine level information on selected
variables. The sampled mining
operations will provide all survey data;
individual mine operator and
independent contractor employees will
not be directly surveyed. As a result of
this study, surveillance researchers and
government agencies will be able to
identify groups of miners with a
disproportionately high risk of injury or

E:\FR\FM\04APN1.SGM

04APN1

16788

Federal Register / Vol. 71, No. 64 / Tuesday, April 4, 2006 / Notices

illness. By capturing demographic (e.g.,
age, gender, race/ethnicity, education
level) and occupational (e.g., job title,
work location, work experience)
characteristics of the mining workforce,
these data will be a significant resource
for the customization of interventions
such as safety training programs.
The target population of mines for
this survey will be limited to mines in
current operation and producing the
commodity for which they were
sampled. Separate sampling frames,
stratified by underground and surface
work location (with the exception of
sand and gravel mines), and
employment size will be developed for

each major mining sector.
Approximately 722 coal mines, 212
metal mines, 327 nonmetal mines, 572
stone mines, and 439 sand and gravel
mines will be sampled for the study. It
is expected that this will yield 1,648
responding eligible mines, reporting
data for approximately 24,452
employees. A survey packet will be
mailed to each sampled mine. The
mining operation will not be asked to
report the names or any other
identifying information for their
employees. The survey respondent will
have the option of completing either the
survey questionnaire booklet or an

Internet Web-based survey
questionnaire.
The ultimate goal of the study is to
provide surveillance data that will help
to minimize and prevent work-related
injuries and illnesses that harm miners
and reduce productivity. NIOSH will
use the information to calculate injury
rates and customize safety and health
interventions for various mining
occupations. Once the study is
completed, NIOSH will send a copy of
the final report to each sampled mining
operation. NIOSH expects to complete
data collection no later than the Spring
of 2007. There is no cost to respondents
other than their time.

ESTIMATED ANNUALIZED BURDEN TABLE
Number of
respondents

Respondents
Responding Eligible Mining Operations ..........................................

Dated: March 29, 2006.
Betsey Dunaway,
Acting Reports Clearance Officer, Centers for
Disease Control and Prevention.
[FR Doc. E6–4826 Filed 4–3–06; 8:45 am]
BILLING CODE 4163–18–P

DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers For Medicare & Medicaid
Services
Privacy Act of 1974; CMS Computer
Match No. 2006–02, HHS Computer
Match No. 0602
Department of Health and
Human Services (HHS), Centers for
Medicare & Medicaid Services (CMS).

Notice of Computer Matching
Program.

sroberts on PROD1PC70 with NOTICES

ACTION:

SUMMARY: In accordance with the
requirements of the Privacy Act of 1974,
as amended, this notice establishes a
computer matching agreement between
CMS and the Department of Defense
(DoD). We have provided background
information about the proposed
matching program in the
SUPPLEMENTARY INFORMATION section
below. The Privacy Act requires that
CMS provide an opportunity for
interested persons to comment on the
proposed matching program. We may
defer implementation of this matching
program if we receive comments that
persuade us to defer implementation.
See DATES section below for comment
period.

18:55 Apr 03, 2006

Jkt 208001

Average burden
per response
(in hours)

Total burden
hours

1

2

3,296

1,648

CMS filed a report of the
Computer Matching Program (CMP)
with the Chair of the House Committee
on Government Reform and Oversight,
the Chair of the Senate Committee on
Homeland Security and Governmental
Affairs, and the Administrator, Office of
Information and Regulatory Affairs,
Office of Management and Budget
(OMB) on March 28, 2006. We will not
disclose any information under a
matching agreement until 40 days after
filing a report to OMB and Congress or
30 days after publication, whichever is
later.

DATES:

The public should address
comments to: Walter Stone, CMS
Privacy Officer, Division of Privacy
Compliance Data Development
(DPCDD), Enterprise Databases Group
(EDG), Office of Information Services
(OIS), CMS, Mail stop N2–04–27, 7500
Security Boulevard, Baltimore,
Maryland 21244–1850. Comments
received will be available for review at
this location, by appointment, during
regular business hours, Monday through
Friday from 9 a.m.–3 p.m., eastern
daylight time.
ADDRESSES:

AGENCY:

VerDate Aug<31>2005

Number of
responses per
respondent

FOR FURTHER INFORMATION CONTACT:

Cheryl Sample, Senior Privacy
Specialist, DPCDD, EDG, OIS, CMS,
Mail stop N2–04–27, 7500 Security
Boulevard, Baltimore, Maryland 21244–
1850. The telephone number is (410)
786–7185, or facsimile (410) 786–5636.
SUPPLEMENTARY INFORMATION:

PO 00000

Frm 00033

Fmt 4703

Sfmt 4703

I. Description of the Matching Program
A. General
The Computer Matching and Privacy
Protection Act of 1988 (Public Law
(Pub. L.) 100–503), amended the Privacy
Act (5 U.S.C. 552a) by describing the
manner in which computer matching
involving Federal agencies could be
performed and adding certain
protections for individuals applying for
and receiving Federal benefits. Section
7201 of the Omnibus Budget
Reconciliation Act of 1990 (Pub. L. 101–
508) further amended the Privacy Act
regarding protections for such
individuals. The Privacy Act, as
amended, regulates the use of computer
matching by Federal agencies when
records in a system of records are
matched with other Federal, state, or
local government records. It requires
Federal agencies involved in computer
matching programs to:
1. Negotiate written agreements with
the other agencies participating in the
matching programs;
2. Obtain the Data Integrity Board
approval of the match agreements;
3. Furnish detailed reports about
matching programs to Congress and
OMB;
4. Notify applicants and beneficiaries
that the records are subject to matching;
and,
5. Verify match findings before
reducing, suspending, terminating, or
denying an individual’s benefits or
payments.

E:\FR\FM\04APN1.SGM

04APN1