[Federal Register Volume 85, Number 139 (Monday, July 20, 2020)]
[Notices]
[Pages 43842-43844]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2020-15656]
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DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Disease Control and Prevention
[60Day-20-20QD; Docket No. CDC-2020-0076]
Proposed Data Collection Submitted for Public Comment and
Recommendations
AGENCY: Centers for Disease Control and Prevention (CDC), Department of
Health and Human Services (HHS).
ACTION: Notice with comment period.
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SUMMARY: The Centers for Disease Control and Prevention (CDC), as part
of its continuing effort to reduce public burden and maximize the
utility of government information, invites the general public and other
Federal agencies the opportunity to comment on a proposed and/or
continuing information collection, as required by the Paperwork
Reduction Act of 1995. This notice invites comment on a proposed
information collection project titled ``Reducing Fatigue Among Taxi
Drivers'' with the goal of evaluating two interventions, a training and
a wrist-device that provides personalized daily fatigue scores,
designed to enable taxi drivers to reduce their fatigue levels. This
research study involves two parts: Development of a fatigue management
eLearning training tool designed for drivers-for-hire (e.g., taxi
drivers; ride sourcing drivers); and an evaluation of the effectiveness
of this training alone and paired with the wrist-device that provides
personalized daily fatigue scores.
DATES: CDC must receive written comments on or before September 18,
2020.
ADDRESSES: You may submit comments, identified by Docket No. CDC-2020-
0076 by any of the following methods:
[[Page 43843]]
Federal eRulemaking Portal: Regulations.gov. Follow the
instructions for submitting comments.
Mail: Jeffrey M. Zirger, Information Collection Review
Office, Centers for Disease Control and Prevention, 1600 Clifton Road
NE, MS-D74, Atlanta, Georgia 30329.
Instructions: All submissions received must include the agency name
and Docket Number. CDC will post, without change, all relevant comments
to Regulations.gov.
Please note: Submit all comments through the Federal eRulemaking
portal (regulations.gov) or by U.S. mail to the address listed above.
FOR FURTHER INFORMATION CONTACT: To request more information on the
proposed project or to obtain a copy of the information collection plan
and instruments, contact Jeffrey M. Zirger, Information Collection
Review Office, Centers for Disease Control and Prevention, 1600 Clifton
Road NE, MS-D74, Atlanta, Georgia 30329; phone: 404-639-7570; Email:
[email protected].
SUPPLEMENTARY INFORMATION: Under the Paperwork Reduction Act of 1995
(PRA) (44 U.S.C. 3501-3520), Federal agencies must obtain approval from
the Office of Management and Budget (OMB) for each collection of
information they conduct or sponsor. In addition, the PRA also requires
Federal agencies to provide a 60-day notice in the Federal Register
concerning each proposed collection of information, including each new
proposed collection, each proposed extension of existing collection of
information, and each reinstatement of previously approved information
collection before submitting the collection to the OMB for approval. To
comply with this requirement, we are publishing this notice of a
proposed data collection as described below.
The OMB is particularly interested in comments that will help:
1. Evaluate whether the proposed collection of information is
necessary for the proper performance of the functions of the agency,
including whether the information will have practical utility;
2. Evaluate the accuracy of the agency's estimate of the burden of
the proposed collection of information, including the validity of the
methodology and assumptions used;
3. Enhance the quality, utility, and clarity of the information to
be collected; and
4. Minimize the burden of the collection of information on those
who are to respond, including through the use of appropriate automated,
electronic, mechanical, or other technological collection techniques or
other forms of information technology, e.g., permitting electronic
submissions of responses.
5. Assess information collection costs.
Proposed Project
Reducing Fatigue Among Taxi Drivers--New--National Institute for
Occupational Safety and Health (NIOSH), Centers for Disease Control and
Prevention (CDC).
Background and Brief Description
Taxi drivers routinely work long hours and late night or early
morning shifts. Shift work and long work hours are linked to many
health and safety risks due to disturbances to sleep and circadian
rhythms. Fatigue is a significant contributor to transportation-related
injuries, most notably among shift workers. Such work schedules and
inadequate sleep likely contribute to health issues and injuries among
taxi drivers who experience a roadway fatality rate of 3.5 times higher
than all civilian workers and had the highest rate of nonfatal work-
related motor vehicle injuries treated in emergency departments.
The urban and interurban transportation industry ranks the third
highest in costs per employee for motor vehicle crashes. Tired drivers
endanger others on the road (e.g., other drivers, passengers,
bicyclists, pedestrians) in addition to themselves and their
passengers. An important approach to reducing fatigue-related risks is
to inform employers and taxi drivers about the risks and strategies to
reduce their risks.
The purpose of this project is to develop and evaluate a training
program to inform taxi drivers and other drivers for hire who transport
passengers of the risks linked to shift work and long work hours and
evaluate strategies for taxi drivers to reduce these risks. The
proposed study site will be the Flywheel Taxi Company in San Francisco,
CA with approximately 500 drivers, who have agreed to share data
collected on the study participants. The recruitment of 180 study
participants and data collection onsite will be performed by a NIOSH
contractor trained by the NIOSH project personnel. This research study
involves two parts: Development of a fatigue management eLearning
training tool designed for drivers-for-hire (e.g., taxi drivers; ride
sourcing drivers); and an evaluation of the use of this tool as an
intervention. The training tool will educate drivers about fatigue as a
risk factor for motor vehicle crashes, the negative health and safety
effects of fatigue, and how to reduce fatigue by improving sleep,
health, nutrition and work schedules. There will be pre- and post-
module knowledge tests to evaluate the training. The training will be
offered online, free of charge, and will be viewable on multiple
platforms (e.g., smartphone, tablet, laptop). All participants will
also wear a wristband actigraph used to measure sleep/wake cycles,
which will serve as a second intervention. The actigraph data will
provide a personalized daily measure of fatigue each participant can
use as an external prompt to assess individual fatigue levels and
trigger self-reflection on fitness to drive and act accordingly. A
randomized pre-post with control group longitudinal study design will
evaluate the training and the driver's response to feedback from the
actigraph. Specifically, there are two intervention groups: (1)
Training plus actigraph fatigue level feedback and (2) training only
with wearing actigraph but no fatigue level feedback. The control group
will receive neither training nor feedback on fatigue levels from their
actigraph. Participants will complete a baseline and follow-up Work and
Health survey, sleep and activities diaries, and sleep health knowledge
questions during each of five observation periods. The Work and Health
survey administered in the first observation period will be more
comprehensive and the abbreviated follow up Work and Health surveys
administered for the remaining observation periods will serve to
capture only responses to questions that can change from one
observation period to the next. Only participants randomly selected to
take the training will complete a training evaluation survey used to
strengthen the training's effectiveness. Data will also be collected
from company installed in-vehicle monitoring systems on safety critical
events (e.g., hard braking, speeding) already collected on all drivers
as a direct measurement of fatigue-related driving performance events
used to validate self-report data. As part of their daily sleep and
health diaries drivers will be asked to complete three minute
psychomotor vigilance tests (PVTs) five times throughout the day to
directly measure alertness using an app installed on an electronic
device. At the end of the data collection period the training will be
offered to the remaining study participants who will be provided an
opportunity, but no remuneration, to complete the training and training
survey.
Study staff will use the findings from this evaluation to improve
the training program, including content and
[[Page 43844]]
delivery, as well as compare fatigue between intervention groups.
Potential impacts of this project include improvements in work
behaviors for coping with shift work and long work hours and an
objective reduction in fatigue compared to the control groups. This
project is poised to have considerable impact in the contribution of an
evidence base for effective interventions that could be used by other
taxi companies and drivers for ride sourcing companies to promote
strategies in road safety.
The burden table lists 120 of the 180 taxi drivers in the study
will complete the online training and evaluation (approximately three
hours). All drivers (180) will complete the Work and Health survey, and
the knowledge survey each week of the study (five times each per
participant). Each participant will complete the sleep and activity
diary five times a day, each day for 35 days (175 times total) which
will require approximately two minutes for each response. There will
also be three meetings for recruitment and enrollment (once), fitting
the actigraph (weekly), and a final meeting. The total estimated
annualized burden hours is 2,700. There are no costs to participants
other than their time.
Estimated Annualized Burden Hours
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Number of Average burden
Type of respondents Form name Number of responses per per response Total burden
respondents respondent (in hours) (in hours)
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Taxi Drivers.................. Online Training 120 1 3 360
& Evaluation.
Sleep & 180 175 2/60 1,050
Activities
Diary.
Work & Health 180 5 45/60 675
Survey.
Knowledge survey 180 5 15/60 225
Recruitment & 180 1 30/60 90
Informed
Consent.
Initial Meeting 180 5 10/60 150
(Fit Actigraph).
10-minute 180 5 10/60 150
meeting (turn
in devices,
turn in diary,
receive
remuneration).
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Total..................... ................ .............. .............. .............. 2,700
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Jeffrey M. Zirger,
Lead, Information Collection Review Office, Office of Scientific
Integrity, Office of Science, Centers for Disease Control and
Prevention.
[FR Doc. 2020-15656 Filed 7-17-20; 8:45 am]
BILLING CODE 4163-18-P