Browse by Year
/ 2003
/ November
/ Wednesday, November 05, 2003
[Federal Register: November 5, 2003 (Volume 68, Number 214)]
[Notices]
[Page 62607-62608]
From the Federal Register Online via GPO Access [wais.access.gpo.gov]
[DOCID:fr05no03-87]
=======================================================================
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Disease Control and Prevention
[30Day-69-03]
Proposed Data Collections Submitted for Public Comment and
Recommendations
The Centers for Disease Control and Prevention (CDC) publishes a
list of information collection requests under review by the Office of
Management and Budget (OMB) in compliance with the Paperwork Reduction
Act (44 U.S.C. chapter 35). To request a copy of these requests, call
the CDC Reports Clearance Officer at (404) 498-1210. Send written
comments to CDC, Desk Officer, Human Resources and Housing Branch, New
Executive Office Building, Room 10235, Washington, DC 20503; or by fax
to (202) 395-6974. Written comments should be received within 30 days
of this notice.
Proposed Project: Health and Safety Outcomes Related to Work
Schedules in Nurses--NEW--The National Institute for Occupational
Safety and Health (NIOSH), Centers for Disease Control and Prevention
(CDC). The mission of the National Institute for Occupational Safety
and Health is to promote safety and health at work for all people
through research and prevention.
In the United States, approximately 1.1 million registered nurses
work shift schedules to provide essential nursing services that are
required around the clock. A recent U.S. Government report indicates
that the average nurse works more than 40 hours per week. Both shift
work and overtime have been independently associated with increased
health and safety risks. Little is known about the combined influence
of shift work and overtime. In addition, most previous shift work
studies of nurses have used young participants. However, the age of the
average working U.S. registered nurse is now 43.3 years and has been
increasing over the past 20 years. This aging workforce will be more
vulnerable to the adverse health and safety risks associated with shift
work and overtime. This study will examine
[[Page 62608]]
the combined influence of shift work and overtime on health and safety
in the current registered nurse workforce. The study will provide data
for work schedule design recommendations. Potential secondary benefits
to society will be improved patient outcomes.
Specific Aim 1.--Examine if certain characteristics of shift work
schedules, such as shift length (i.e. 12-hour, 8-hour shifts), night
work, and rotating work schedules are associated with increased health
and safety risks.
Specific Aim 2.--Examine how shift work and overtime interact to
influence health and safety risks.
Specific Aim 3.--Examine if disturbances of sleep, family life, and
social life mediate effects of work schedules on health and safety.
The study is based on the theoretical model by Barton et al. (1995)
who propose that shift work exerts a negative effect on health and
safety outcomes by disturbing sleep, family life, and social life. The
study will use a cross-sectional design to survey 1,000 registered
nurses who will be randomly selected from 10 large hospitals.
Participants will be asked to complete a survey, complete a 7-day
sleep/activity diary, provide one set of blood pressure readings, and
provide a copy of their work schedule from their hospital records for
the previous 3-month period.
The survey includes items for personal characteristics such as age
and weight; health history; lifestyle factors such as smoking and
alcohol use; sleep characteristics and problems; factors at work and
other responsibilities such as child care; work schedule factors;
musculoskeletal discomfort; gastrointestinal and cardiovascular
symptoms; mood; automobile crashes and near misses; needlestick
injuries; and job satisfaction. The study will compute a list of work
characteristics based on the actual work start and end times.
Statistical modeling will be used to examine characteristics of work
schedules associated with increased risk while controlling for
demographic, health history, lifestyle, and work-related risk factors.
A base model will be developed with significant control variables for
each outcome. Work schedule variables will then be added to the base
model to test for significant relationships while controlling for co-
variants. The annualized burden for this data collection is 1,667
hours.
------------------------------------------------------------------------
Number of Avg. burden/
Form name Number of responses/ responses
respondents respondent (in hours)
------------------------------------------------------------------------
3 month overtime diary........... 1000 6 5/60
7-day sleep/activity diary....... 1000 7 5/60
Survey........................... 1000 1 35/60
------------------------------------------------------------------------
Dated: October 28, 2003.
Gaylon D. Morris,
Acting Director, Executive Secretariat, Centers for Disease Control and
Prevention.
[FR Doc. 03-27794 Filed 11-4-03; 8:45 am]
BILLING CODE 4163-18-P
Browse by Year
/ 2003
/ November
/ Wednesday, November 05, 2003
Bankruptcy - Debt Consolidation - Credit Card Consolidation - Loans
|
|