Agency Information Collection Activities: Proposed Collection; Comment Request, 34730-34732 [2020-12266]
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Dated: June 2, 2020.
Sarah L. Stewart,
Deputy General Counsel, Federal Mine Safety
and Health Review Commission.
[FR Doc. 2020–12288 Filed 6–5–20; 8:45 am]
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FEDERAL MINE SAFETY AND HEALTH
REVIEW COMMISSION
Sending Case Issuances through
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Federal Mine Safety and Health
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ACTION: Notice.
AGENCY:
On a temporary basis, the
Federal Mine Safety and Health Review
Commission will be sending its
issuances through electronic mail and
will not be monitoring incoming
physical mail or facsimile
transmissions.
DATES: Applicable: June 2, 2020.
FOR FURTHER INFORMATION CONTACT:
Sarah Stewart, Deputy General Counsel,
Office of the General Counsel, Federal
Mine Safety and Health Review
Commission, at (202) 434–9935;
sstewart@fmshrc.gov.
SUPPLEMENTARY INFORMATION: Until July
10, 2020, case issuances of the Federal
Mine Safety and Health Review
Commission (FMSHRC), including inter
alia notices, decisions, and orders, will
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This includes notices, decisions, and
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2700.5(c)(2). If possible, all filings
should be e-filed as described in 29 CFR
2700.5(c)(1).
SUMMARY:
Authority: 30 U.S.C. 823.
Dated: June 2, 2020.
Sarah L. Stewart,
Deputy General Counsel, Federal Mine Safety
and Health Review Commission.
[FR Doc. 2020–12290 Filed 6–5–20; 8:45 am]
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khammond on DSKJM1Z7X2PROD with NOTICES
FEDERAL MINE SAFETY AND HEALTH
REVIEW COMMISSION
Sunshine Act Notice
10:00 a.m., Thursday,
June 18, 2020.
PLACE: This meeting will be conducted
through a videoconference involving all
Commissioners. Any person wishing to
listen to the proceedings may call the
phone number listed below.
TIME AND DATE:
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17:09 Jun 05, 2020
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STATUS:
Open.
The
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the following in open session: Secretary
of Labor v. Scott and Thomas, employed
by Mill Branch Coal Corp., Docket No.
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the Judge erred by dismissing civil
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individuals because he determined that
the proposed penalty assessments were
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Maryland 20857, Telephone (301) 427–
1557.
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accordance with section 10(a)(2) of the
Federal Advisory Committee Act (5
U.S.C. App. 2), AHRQ announces this
meeting of the above-listed scientific
peer review groups, which are
subcommittees of AHRQ’s Health
Services Research Initial Review Group
Committee. This subcommittee meeting
will be closed to the public in
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in 5 U.S.C. App. 2 section 10(d), 5
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552b(c)(6). The grant applications and
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would constitute a clearly unwarranted
invasion of personal privacy.
Agenda items for this meeting are
subject to change as priorities dictate.
Dated: June 4, 2020.
Sarah L. Stewart,
Deputy General Counsel.
Virginia L. Mackay-Smith,
Associate Director.
[FR Doc. 2020–12475 Filed 6–4–20; 4:15 pm]
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[FR Doc. 2020–12291 Filed 6–5–20; 8:45 am]
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DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Agency for Healthcare Research and
Quality; Notice of Meeting
Agency for Healthcare Research
and Quality (AHRQ), HHS.
ACTION: Notice of meeting.
AGENCY:
The subcommittee listed
below is part of AHRQ’s Health Services
Research Initial Review Group
Committee. Grant applications are to be
reviewed and discussed at this meeting.
This subcommittee meeting will be
closed to the public.
DATES: See below for date of meeting:
Health Care Research and Training
(HCRT)
Date: July 10th, 2020
ADDRESSES: Agency for Healthcare
Research and Quality (Video Assisted
Review), 5600 Fishers Lane, Rockville,
Maryland 20857.
FOR FURTHER INFORMATION CONTACT: (to
obtain a roster of members, agenda or
minutes of the non-confidential portions
of this meeting.) Jenny Griffith,
Committee Management Officer, Office
of Extramural Research Education and
Priority Populations, Agency for
Healthcare Research and Quality
SUMMARY:
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DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Agency for Healthcare Research and
Quality
Agency Information Collection
Activities: Proposed Collection;
Comment Request
Agency for Healthcare Research
and Quality, HHS.
ACTION: Notice.
AGENCY:
This notice announces the
intention of the Agency for Healthcare
Research and Quality (AHRQ) to request
that the Office of Management and
Budget (OMB) approve the proposed
information collection project
‘‘Identifying and Testing Strategies for
Management of Opioid Use and Misuse
in Older Adults in Primary Care
Practices.’’
SUMMARY:
Comments on this notice must be
received by 60 days after date of
publication of this Notice.
ADDRESSES: Written comments should
be submitted to: Doris Lefkowitz,
Reports Clearance Officer, AHRQ, by
email at doris.lefkowitz@AHRQ.hhs.gov.
Copies of the proposed collection
plans, data collection instruments, and
specific details on the estimated burden
DATES:
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Federal Register / Vol. 85, No. 110 / Monday, June 8, 2020 / Notices
can be obtained from the AHRQ Reports
Clearance Officer.
FOR FURTHER INFORMATION CONTACT:
Doris Lefkowitz, AHRQ Reports
Clearance Officer, (301) 427–1477, or by
email at doris.lefkowitz@AHRQ.hhs.gov.
SUPPLEMENTARY INFORMATION:
Proposed Project
khammond on DSKJM1Z7X2PROD with NOTICES
Identifying and Testing Strategies for
Management of Opioid Use and Misuse
in Older Adults in Primary Care
Practices
The goals of this project are to assess
and describe the current prevalence,
awareness, and management of opioid
use, misuse, and abuse in older adults,
and identify gaps and areas of needed
research. Additionally, this project will
support primary care practices (PCP) in
developing and testing innovative
strategies, approaches, and/or tools for
opioid management within the context
of facilitated learning collaboratives,
culminating in a Compendium of
Strategies for opioid management in
older adults in primary care settings.
Through this project, AHRQ is
addressing the gaps in knowledge
around opioid use in older adults in
primary care settings. To accomplish
this we are synthesizing what is known
about the development and testing of
innovative strategies, approaches, and/
or tools for opioid management of older
adults with pain on opioid medication,
and/or opioid use disorder.
This study is being conducted by
AHRQ through its contractor, Abt
Associates Inc., pursuant to AHRQ’s
statutory authority to conduct and
support research on healthcare and on
systems for the delivery of such care,
including activities with respect to the
quality, effectiveness, efficiency,
appropriateness and value of healthcare
services and with respect to quality
measurement and improvement. 42
U.S.C. 299a(a)(1) and (2).
Method of Collection
To achieve the goals of this project the
following data collections will be
implemented:
1. We will conduct a web-based
survey of primary care clinicians who
care for older adults. The purpose of the
survey is to assess primary care
clinician experiences caring for older
adult patients with chronic pain on
opioids. The survey will be sent to 5,000
randomly selected primary care
clinicians.
2. Participating learning collaborative
practices will be asked to implement
strategies related to each of the key areas
on the continuum: Prevention,
management and treatment of opioid
VerDate Sep<11>2014
18:01 Jun 05, 2020
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use, misuse and OUD in older adults.
We will collect primary data via
observations, interviews, and a survey,
and secondary data including practice
and learning collaborative documents.
The following primary data collection
activities are proposed:
a. PCP Clinical Staff Survey. A brief
web-based survey will be emailed to all
clinical staff participating in the
learning collaborative at baseline before
starting implementation and
approximately 15 months later. We
assumed 20 clinical staff per clinic site,
and 24 clinics for a total of 480 staff.
b. Interviews. In-depth interviews will
occur with up to three staff at each
health care organization participating in
the learning collaborative, for a total of
up to 72 individuals. The evaluation
team will conduct these interviews
with:
c. Quality Improvement (QI)
champion for the initiative in the clinics
at baseline, mid-point and postimplementation.
d. Two additional staff (e.g. clinician,
information technology analyst,
behavioral health specialist) per
organization (mid-point and postimplementation).
3. Self-Assessment. The QI champion
will complete a self-assessment tool at
baseline. A similar tool is used in the
Six Building Blocks program and the
Centers for Disease Control (CDC)
Opioid QI Collaborative. This tool is for
clinics or health systems to assess the
status of their QI efforts to improve
opioid prescribing, and the extent to
which care is consistent with the CDC
Opioid Prescribing Guidelines.
4. Quality Improvement Measures.
Each clinic will report quarterly on the
QI measures. The QI measures include
both process and outcome measures.
Process measures are reflective of
recommended clinical strategies or tools
being implemented, and outcome
measures examine intermediate
outcomes. A data analyst at each
organization will provide aggregate
reports of the specified QI measures to
the evaluation team on a quarterly basis
over the course of a 15-month period.
The QI measures are measures of opioid
prescribing that are critical for
understanding the potential
improvements in opioid prescribing in
implementing the strategies.
Estimated Annual Respondent Burden
Exhibit 1 presents estimates of the
reporting burden hours for the data
collection efforts. Time estimates are
based on prior experiences and what
can reasonably be requested of
participating providers (survey) and
PCPs. The number of respondents listed
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34731
in column A, Exhibit 1 reflects a
projected response rate for data
collection efforts.
1. Provider web-based survey. A
survey will be sent to 5,000 randomly
selected primary care clinicians. The
survey will include no more than 30
items and is expected to take
approximately 15 minutes to complete.
We anticipate a 30% response rate,
resulting in 1,500 completed surveys.
2. PCP Learning Collaboratives
Primary Data Collection.
a. PCP Learning Collaborative Clinical
Staff Survey. A brief survey will be
emailed to all clinicians at baseline
before starting implementation and
approximately 15 months later. We
assume 20 clinical staff per clinic site,
and 24 clinics for a total of 480 staff. We
assume 360 clinical staff will complete
the survey based on a 75% response
rate. It is expected to take up to 20
minutes to complete.
b. Interviews. In-depth interviews will
occur with up to 3 staff at each health
care organization, for a total of up to 72
individuals. The evaluation team will
conduct these interviews, each lasting
up to 30 minutes with:
i. QI champion for the initiative in the
clinics at baseline, mid-point and postimplementation.
ii. Two additional staff (e.g., clinician,
information technology analyst,
behavioral health specialist) per PCP at
mid-point and post-implementation.
c. Self-Assessment. A self-assessment
tool used in the Six Building Blocks
program, and CDC Opioid QI
Collaborative for clinics or health
systems will be provided to practices to
assess where they are in their QI efforts
to improve opioid prescribing, and the
extent to which care is consistent with
the CDC Opioid Prescribing Guideline.
The QI champion or lead for the effort
in each of the 24 participating PCPs will
respond to the self-assessment which
will take approximately 15 minutes to
complete.
d. QI Measures. Aggregate reports of
the specified quality measures will be
provided on a quarterly basis over the
course of a 15-month period by a data
analyst at each PCP. This activity will
involve 12 individuals at each learning
collaborative for a total of 24. We
assume 40 hours total for each data
analyst to collect and provide these
data: Twenty hours to develop a system
for pulling these measures and five
hours to pull and submit these reports
each quarter. The QI measures are
measures of opioid prescribing that are
critical for understanding the potential
improvements in opioid prescribing in
implementing strategies and tools for
management of opioid use, misuse, and
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34732
Federal Register / Vol. 85, No. 110 / Monday, June 8, 2020 / Notices
abuse. Each health care organization is
asked to report quarterly on the QI
measures. Clinics may obtain these
measures from electronic health record
(EHR) data, or they may not have the
sophistication or capacity to do that and
may track these measures using Excel
files or other methods.
EXHIBIT 1—ESTIMATED ANNUALIZED BURDEN HOURS
Data collection method or project activity
Number of
respondents
Number of
responses per
respondent
Hours per
response
Total
burden hours
A.
B.
C.
D.
Survey 1
1. Web-Based Provider
.....................................................................
2a. Learning Collaborative Clinical Staff Survey 2 ...........................................
2bi. Learning Collaborative QI Champion Interview ........................................
2bii. Learning Collaborative Staff Interview .....................................................
2c. Learning Collaborative Self-Assessment ...................................................
2di. Learning Collaborative QI Measures—develop system ...........................
2dii. Learning Collaborative QI Measures—pull and submit ...........................
1,500
360
24
48
24
24
24
1
2
3
2
1
1
4
15/60
20/60
30/60
30/60
15/60
20
5
375
240
36
48
6
480
480
Total ..........................................................................................................
2,028
n/a
n/a
1,665
1 Number
of respondents reflects a 30% response rate.
2 Number of respondents reflects a sample size assuming a 75% response rate.
Exhibit 2, below, presents the
estimated annualized cost burden
associated with the respondents’ time to
participate in this research. The total
cost burden is estimated to be
$72,145.62.
EXHIBIT 2—ESTIMATED ANNUALIZED COST BURDEN
Number of
respondents
Data collection method or project activity
Total
burden hours
Average
hourly
wage rate *
Total
cost burden
1. Web-Based Provider Survey 1 .....................................................................
2a. Learning Collaborative Clinical Staff Survey 2 ...........................................
2bi. Learning Collaborative QI Champion Interview 3 ......................................
2bii. Learning Collaborative Staff Interview 4 ...................................................
2c. Learning Collaborative Self-Assessment 5 .................................................
2di. Learning Collaborative QI Measures—develop system 6 .........................
2dii. Learning Collaborative QI Measures—pull and submit 7 .........................
1,500
360
24
48
24
24
24
375
240
36
48
6
480
480
$101.82
39.42
54.68
39.42
54.68
21.16
21.16
$38,182.50
9,460.80
1,968.48
1,892.16
328.08
10,156.80
10,156.80
Total ..........................................................................................................
2,028
1,917
n/a
72,145.62
1 The
average hourly rate of $101.82 for the provider survey was calculated based on the 2018 mean hourly wage rate for family and general
practitioners, (occupation code 29–1062).
2 The average hourly rate of $39.42 for the learning collaborative clinical staff survey was calculated based on the 2018 mean hourly wage rate
for medical and health services managers (occupation code 29–0000).
3 The average hourly rate of $54.68 for QI champion interviews was calculated based on the 2018 mean hourly wage rate for medical and
health services managers (occupation code 11–9111).
4 The average hourly rate of $39.42 for staff interviews was calculated based on the 2018 mean hourly wage rate for medical and health services managers (occupation code 29–0000).
5 The average hourly rate of 54.68 for the Learning Collaborative QI champion to complete the self-assessment was calculated based on the
2018 mean hourly wage rate for medical and health services managers (occupation code 11–9111).
6 The average hourly rate of $21.16 to develop the Learning Collaborative QI measures was calculated based on the 2018 mean hourly wage
rate for medical records and health information technicians (occupation code 29–2071).
7 The average hourly rate of $21.16 to pull and submit the Learning Collaborative QI measures was calculated based on the 2018 mean hourly
wage rate for medical records and health information technicians (occupation code 29–2071).
khammond on DSKJM1Z7X2PROD with NOTICES
Mean hourly wage rates for these
groups of occupations were obtained
from the Bureau of Labor & Statistics on
‘‘Occupational Employment and Wages,
May 2018’’ found at the following URL:
https://www.bls.gov/oes/current/oes_
nat.htm#b29-0000.htm.
Request for Comments
In accordance with the Paperwork
Reduction Act, 44 U.S.C. 3501–3520,
comments on AHRQ’s information
collection are requested with regard to
any of the following: (a) Whether the
proposed collection of information is
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17:09 Jun 05, 2020
Jkt 250001
necessary for the proper performance of
AHRQ’s health care research and health
care information dissemination
functions, including whether the
information will have practical utility;
(b) the accuracy of AHRQ’s estimate of
burden (including hours and costs) of
the proposed collection(s) 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 upon the
respondents, including the use of
PO 00000
automated collection techniques or
other forms of information technology.
Comments submitted in response to
this notice will be summarized and
included in the Agency’s subsequent
request for OMB approval of the
proposed information collection. All
comments will become a matter of
public record.
Dated: June 2, 2020.
Virginia L. Mackay-Smith,
Associate Director.
[FR Doc. 2020–12266 Filed 6–5–20; 8:45 am]
BILLING CODE 4160–90–P
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]]>Agencies
[Federal Register Volume 85, Number 110 (Monday, June 8, 2020)]
[Notices]
[Pages 34730-34732]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2020-12266]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Agency for Healthcare Research and Quality
Agency Information Collection Activities: Proposed Collection;
Comment Request
AGENCY: Agency for Healthcare Research and Quality, HHS.
ACTION: Notice.
-----------------------------------------------------------------------
SUMMARY: This notice announces the intention of the Agency for
Healthcare Research and Quality (AHRQ) to request that the Office of
Management and Budget (OMB) approve the proposed information collection
project ``Identifying and Testing Strategies for Management of Opioid
Use and Misuse in Older Adults in Primary Care Practices.''
DATES: Comments on this notice must be received by 60 days after date
of publication of this Notice.
ADDRESSES: Written comments should be submitted to: Doris Lefkowitz,
Reports Clearance Officer, AHRQ, by email at
[email protected].
Copies of the proposed collection plans, data collection
instruments, and specific details on the estimated burden
[[Page 34731]]
can be obtained from the AHRQ Reports Clearance Officer.
FOR FURTHER INFORMATION CONTACT: Doris Lefkowitz, AHRQ Reports
Clearance Officer, (301) 427-1477, or by email at
[email protected].
SUPPLEMENTARY INFORMATION:
Proposed Project
Identifying and Testing Strategies for Management of Opioid Use and
Misuse in Older Adults in Primary Care Practices
The goals of this project are to assess and describe the current
prevalence, awareness, and management of opioid use, misuse, and abuse
in older adults, and identify gaps and areas of needed research.
Additionally, this project will support primary care practices (PCP) in
developing and testing innovative strategies, approaches, and/or tools
for opioid management within the context of facilitated learning
collaboratives, culminating in a Compendium of Strategies for opioid
management in older adults in primary care settings. Through this
project, AHRQ is addressing the gaps in knowledge around opioid use in
older adults in primary care settings. To accomplish this we are
synthesizing what is known about the development and testing of
innovative strategies, approaches, and/or tools for opioid management
of older adults with pain on opioid medication, and/or opioid use
disorder.
This study is being conducted by AHRQ through its contractor, Abt
Associates Inc., pursuant to AHRQ's statutory authority to conduct and
support research on healthcare and on systems for the delivery of such
care, including activities with respect to the quality, effectiveness,
efficiency, appropriateness and value of healthcare services and with
respect to quality measurement and improvement. 42 U.S.C. 299a(a)(1)
and (2).
Method of Collection
To achieve the goals of this project the following data collections
will be implemented:
1. We will conduct a web-based survey of primary care clinicians
who care for older adults. The purpose of the survey is to assess
primary care clinician experiences caring for older adult patients with
chronic pain on opioids. The survey will be sent to 5,000 randomly
selected primary care clinicians.
2. Participating learning collaborative practices will be asked to
implement strategies related to each of the key areas on the continuum:
Prevention, management and treatment of opioid use, misuse and OUD in
older adults. We will collect primary data via observations,
interviews, and a survey, and secondary data including practice and
learning collaborative documents. The following primary data collection
activities are proposed:
a. PCP Clinical Staff Survey. A brief web-based survey will be
emailed to all clinical staff participating in the learning
collaborative at baseline before starting implementation and
approximately 15 months later. We assumed 20 clinical staff per clinic
site, and 24 clinics for a total of 480 staff.
b. Interviews. In-depth interviews will occur with up to three
staff at each health care organization participating in the learning
collaborative, for a total of up to 72 individuals. The evaluation team
will conduct these interviews with:
c. Quality Improvement (QI) champion for the initiative in the
clinics at baseline, mid-point and post-implementation.
d. Two additional staff (e.g. clinician, information technology
analyst, behavioral health specialist) per organization (mid-point and
post-implementation).
3. Self-Assessment. The QI champion will complete a self-assessment
tool at baseline. A similar tool is used in the Six Building Blocks
program and the Centers for Disease Control (CDC) Opioid QI
Collaborative. This tool is for clinics or health systems to assess the
status of their QI efforts to improve opioid prescribing, and the
extent to which care is consistent with the CDC Opioid Prescribing
Guidelines.
4. Quality Improvement Measures. Each clinic will report quarterly
on the QI measures. The QI measures include both process and outcome
measures. Process measures are reflective of recommended clinical
strategies or tools being implemented, and outcome measures examine
intermediate outcomes. A data analyst at each organization will provide
aggregate reports of the specified QI measures to the evaluation team
on a quarterly basis over the course of a 15-month period. The QI
measures are measures of opioid prescribing that are critical for
understanding the potential improvements in opioid prescribing in
implementing the strategies.
Estimated Annual Respondent Burden
Exhibit 1 presents estimates of the reporting burden hours for the
data collection efforts. Time estimates are based on prior experiences
and what can reasonably be requested of participating providers
(survey) and PCPs. The number of respondents listed in column A,
Exhibit 1 reflects a projected response rate for data collection
efforts.
1. Provider web-based survey. A survey will be sent to 5,000
randomly selected primary care clinicians. The survey will include no
more than 30 items and is expected to take approximately 15 minutes to
complete. We anticipate a 30% response rate, resulting in 1,500
completed surveys.
2. PCP Learning Collaboratives Primary Data Collection.
a. PCP Learning Collaborative Clinical Staff Survey. A brief survey
will be emailed to all clinicians at baseline before starting
implementation and approximately 15 months later. We assume 20 clinical
staff per clinic site, and 24 clinics for a total of 480 staff. We
assume 360 clinical staff will complete the survey based on a 75%
response rate. It is expected to take up to 20 minutes to complete.
b. Interviews. In-depth interviews will occur with up to 3 staff at
each health care organization, for a total of up to 72 individuals. The
evaluation team will conduct these interviews, each lasting up to 30
minutes with:
i. QI champion for the initiative in the clinics at baseline, mid-
point and post-implementation.
ii. Two additional staff (e.g., clinician, information technology
analyst, behavioral health specialist) per PCP at mid-point and post-
implementation.
c. Self-Assessment. A self-assessment tool used in the Six Building
Blocks program, and CDC Opioid QI Collaborative for clinics or health
systems will be provided to practices to assess where they are in their
QI efforts to improve opioid prescribing, and the extent to which care
is consistent with the CDC Opioid Prescribing Guideline. The QI
champion or lead for the effort in each of the 24 participating PCPs
will respond to the self-assessment which will take approximately 15
minutes to complete.
d. QI Measures. Aggregate reports of the specified quality measures
will be provided on a quarterly basis over the course of a 15-month
period by a data analyst at each PCP. This activity will involve 12
individuals at each learning collaborative for a total of 24. We assume
40 hours total for each data analyst to collect and provide these data:
Twenty hours to develop a system for pulling these measures and five
hours to pull and submit these reports each quarter. The QI measures
are measures of opioid prescribing that are critical for understanding
the potential improvements in opioid prescribing in implementing
strategies and tools for management of opioid use, misuse, and
[[Page 34732]]
abuse. Each health care organization is asked to report quarterly on
the QI measures. Clinics may obtain these measures from electronic
health record (EHR) data, or they may not have the sophistication or
capacity to do that and may track these measures using Excel files or
other methods.
Exhibit 1--Estimated Annualized Burden Hours
----------------------------------------------------------------------------------------------------------------
Number of
Data collection method or project activity Number of responses per Hours per Total burden
respondents respondent response hours
A. B. C. D.
----------------------------------------------------------------------------------------------------------------
1. Web-Based Provider Survey 1.................. 1,500 1 15/60 375
2a. Learning Collaborative Clinical Staff Survey 360 2 20/60 240
2..............................................
2bi. Learning Collaborative QI Champion 24 3 30/60 36
Interview......................................
2bii. Learning Collaborative Staff Interview.... 48 2 30/60 48
2c. Learning Collaborative Self-Assessment...... 24 1 15/60 6
2di. Learning Collaborative QI Measures--develop 24 1 20 480
system.........................................
2dii. Learning Collaborative QI Measures--pull 24 4 5 480
and submit.....................................
---------------------------------------------------------------
Total....................................... 2,028 n/a n/a 1,665
----------------------------------------------------------------------------------------------------------------
1 Number of respondents reflects a 30% response rate.
2 Number of respondents reflects a sample size assuming a 75% response rate.
Exhibit 2, below, presents the estimated annualized cost burden
associated with the respondents' time to participate in this research.
The total cost burden is estimated to be $72,145.62.
Exhibit 2--Estimated Annualized Cost Burden
----------------------------------------------------------------------------------------------------------------
Number of Total burden Average hourly Total cost
Data collection method or project activity respondents hours wage rate * burden
----------------------------------------------------------------------------------------------------------------
1. Web-Based Provider Survey 1.................. 1,500 375 $101.82 $38,182.50
2a. Learning Collaborative Clinical Staff Survey 360 240 39.42 9,460.80
2..............................................
2bi. Learning Collaborative QI Champion 24 36 54.68 1,968.48
Interview 3....................................
2bii. Learning Collaborative Staff Interview 4.. 48 48 39.42 1,892.16
2c. Learning Collaborative Self-Assessment 5.... 24 6 54.68 328.08
2di. Learning Collaborative QI Measures--develop 24 480 21.16 10,156.80
system 6.......................................
2dii. Learning Collaborative QI Measures--pull 24 480 21.16 10,156.80
and submit 7...................................
---------------------------------------------------------------
Total....................................... 2,028 1,917 n/a 72,145.62
----------------------------------------------------------------------------------------------------------------
1 The average hourly rate of $101.82 for the provider survey was calculated based on the 2018 mean hourly wage
rate for family and general practitioners, (occupation code 29-1062).
2 The average hourly rate of $39.42 for the learning collaborative clinical staff survey was calculated based on
the 2018 mean hourly wage rate for medical and health services managers (occupation code 29-0000).
3 The average hourly rate of $54.68 for QI champion interviews was calculated based on the 2018 mean hourly wage
rate for medical and health services managers (occupation code 11-9111).
4 The average hourly rate of $39.42 for staff interviews was calculated based on the 2018 mean hourly wage rate
for medical and health services managers (occupation code 29-0000).
5 The average hourly rate of 54.68 for the Learning Collaborative QI champion to complete the self-assessment
was calculated based on the 2018 mean hourly wage rate for medical and health services managers (occupation
code 11-9111).
6 The average hourly rate of $21.16 to develop the Learning Collaborative QI measures was calculated based on
the 2018 mean hourly wage rate for medical records and health information technicians (occupation code 29-
2071).
7 The average hourly rate of $21.16 to pull and submit the Learning Collaborative QI measures was calculated
based on the 2018 mean hourly wage rate for medical records and health information technicians (occupation
code 29-2071).
Mean hourly wage rates for these groups of occupations were
obtained from the Bureau of Labor & Statistics on ``Occupational
Employment and Wages, May 2018'' found at the following URL: https://www.bls.gov/oes/current/oes_nat.htm#b29-0000.htm.
Request for Comments
In accordance with the Paperwork Reduction Act, 44 U.S.C. 3501-
3520, comments on AHRQ's information collection are requested with
regard to any of the following: (a) Whether the proposed collection of
information is necessary for the proper performance of AHRQ's health
care research and health care information dissemination functions,
including whether the information will have practical utility; (b) the
accuracy of AHRQ's estimate of burden (including hours and costs) of
the proposed collection(s) 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 upon
the respondents, including the use of automated collection techniques
or other forms of information technology.
Comments submitted in response to this notice will be summarized
and included in the Agency's subsequent request for OMB approval of the
proposed information collection. All comments will become a matter of
public record.
Dated: June 2, 2020.
Virginia L. Mackay-Smith,
Associate Director.
[FR Doc. 2020-12266 Filed 6-5-20; 8:45 am]
BILLING CODE 4160-90-P
