0920-24IL Techincal Guidance

Form approved:
OMB Control Number: 0920-1282
Expiration date: 06/30/2026

OD2A: LOCAL
Performance Measures
Technical Guidance
Centers for Disease Control and Prevention
Division of Overdose Prevention
Prevention Programs and Evaluation Branch

August 2024
CDC estimates the average public reporting burden for this collection of information as 35 hours annually per
response from each recipient, including the time for reviewing instructions, searching existing data/information
sources, gathering and maintaining the data/information needed, and completing and reviewing the collection of
information. An agency may not conduct or sponsor, and a person is not required to respond to a collection of
information unless it displays a currently valid OMB control number. Send comments regarding this burden
estimate or any other aspect of this collection of information, including suggestions for reducing this burden to
CDC/ATSDR Information Collection Review Office, 1600 Clifton Road NE, MS D-74, Atlanta, Georgia 30333; ATTN:
PRA (0920-1282)

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Acknowledgments
We want to acknowledge everyone who played a crucial role in the development of
performance measures for OD2A: Limiting Overdose through Collaborative Actions in
Localities (OD2A: LOCAL). This would not have been possible without the dedication,
expertise, and collaboration of a diverse group of public health partners. Special thanks to the
subject matter experts (SMEs) at the Centers for Disease Control and Prevention (CDC),
whose invaluable insights and domain knowledge shaped the selection and prioritization of
indicators. Thank you also for the active engagement of our recipients during the initial
performance measures webinar, whose feedback provided essential perspectives and
ensured the relevance of our measures. Finally, thank you to the evaluators from the
Program Evaluation Team, who each played a critical role in the development of this guide.
This collective effort underscores the spirit of collaboration and commitment that defines our
work in OD2A: LOCAL.

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Contents
Introduction ............................................................................................................................................ 4
Purpose and Objectives ................................................................................................................. 4
Data Quality ........................................................................................................................................ 4
OD2A: LOCAL Performance Measures......................................................................................... 6
Quick View........................................................................................................................................... 6
Key Reporting Fields ....................................................................................................................... 7
Indicator Reference Sheets for Each Performance Measure ........................................ 8
HE_Impact ........................................................................................................................................ 9
HE_Activities ................................................................................................................................. 11
HR_Encounters ............................................................................................................................ 13
HR_Naloxone................................................................................................................................. 15
LTC_Navigator_Hours ................................................................................................................ 17
LTC_Referrals ................................................................................................................................ 19
HS_Training ................................................................................................................................... 21
HS_SUD_Protocols ...................................................................................................................... 23
Reporting ............................................................................................................................................... 24
Reporting Process .......................................................................................................................... 24
Excel Reporting Tool ..................................................................................................................... 24

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Introduction
This technical guidance is specifically developed to support recipients of Overdose Data to
Action: Limiting Overdose through Collaborative Actions in Localities (OD2A: LOCAL) in their
reporting of performance measures, also referred to as indicators. Performance measures will
be reported by recipients during the period of funding to track progress on key interventions
and outcomes as outlined in the Notice of Funding Opportunity (NOFO).
This Technical Guidance document includes:
•
•
•
•

Introduction
Snapshot of performance measures
Detailed descriptions of each performance measure
Reporting timeline and guidance

Purpose and Objectives
The primary goal of performance measures in OD2A: LOCAL is to provide a common set of
indicators that will be used by recipients and their partners to monitor progress and identify
areas for improvement. Performance measures data can be used to help:
1)

Recipients show progress and communicate progress to their health department
leadership.
2) CDC and recipients inform future CDC programmatic investments.
3) CDC and recipients understand the contributions of OD2A: LOCAL across overdose
prevention strategies and use data for programmatic improvement.
4) CDC communicate with Health and Human Services (HHS) and other federal
policymakers about the progress made under OD2A: LOCAL.
At CDC, these performance measures are not meant to compare jurisdictions to each other,
but rather to monitor progress for a recipient over time and to examine OD2A: LOCAL as a
program, overall. By establishing and regularly monitoring performance measures, recipients
can identify areas of strength, pinpoint challenges, and align their efforts with intended
objectives, ultimately fostering accountability and continuous enhancement within their
programs.

Data Quality
We strive for high-quality data reported across performance measures. High-quality data
ensure that the information collected is accurate, consistent, and reflective of the true impact
of program activities. Addressing data quality requires a proactive approach to include staff
training, standardized data collection protocols, regular data quality assurance checks, and
continuous monitoring and improvement processes. Investing in data quality enhances the
credibility of performance measures, supporting evidence-based decision-making and
ensuring the program's overall success. Consider the following:
•

Accuracy – The information collected should clearly and adequately measure the
indicator within a plausible range.

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•
•

•

Consistency – Written documentation of data collection and analysis methods can
ensure the same procedures are followed each time.
Timeliness – The information collected should be available to inform program
management decisions and it should represent the most current data available.
Reporting the data soon after it is collected is a good practice and can help to reflect
the true impact of program activities.
Integrity – Safeguards should be established to minimize the risk of bias or errors in
data transcription. This may be achieved by having more than one person conduct
the data transcription. In addition, there should be independence in key data
collection, management, and assessment procedures and mechanisms to prevent
unauthorized changes to the data.

We are asking OD2A: LOCAL recipients to keep us informed if you identify any data quality
concerns and challenges in data collection or reporting processes that could affect data
quality. Each of the performance measures includes data quality and contextual questions in
which any data quality concerns should be shared with CDC. Ultimately, we want to ensure
that performance measure data we review and share account for any needed caveats
regarding data quality.

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OD2A: LOCAL Performance Measures
There are 8 performance measures. There are 7 quantitative measures and 1 qualitative
measure. The labels and brief descriptions are listed here for a quick reference. All
quantitative data should be answered in the Excel reporting tool. All qualitative questions
including HE_Impact, contextual questions, and data quality questions should be reported
directly in Partner’s Portal.

Quick View
Icon

Label Name

Performance Measure

HE_Impact

Impactful practices for improving access to care and
treatment for PWUD who are historically underserved by
overdose prevention programs

HE_Activities

Number of health equity focused overdose prevention
activities implemented with OD2A funding

HR_Encounters

Number of harm reduction service encounters at OD2Afunded organizations

HR_Naloxone

Number of naloxone doses distributed by OD2A-funded
organizations

LTC_Navigator_
Hours

Number of hours navigators spent on linkage to care and
harm reduction services via warm handoffs

LTC_Referrals

Number of referrals to care and harm reduction services

HS_Training

Percent of clinicians who received training on
implementing the “2022 CDC Clinical Practice Guideline
for Prescribing Opioids for Pain”

HS_SUD_Protoc
ols

Number of health settings implementing or improving
protocols and/or policies for evidence-based substance
use disorder (SUD) treatment or referrals

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This guide uses a standard format to describe each performance measure. Each indicator
reference sheet is organized by an overview of the measure and its key reporting fields. Each
indicator reference sheet includes a section on reporting specifications to explain exactly
what needs to be reported for each performance measure. Each quantitative measure
includes required and optional disaggregates, contextual questions, and data quality
questions. Contextual questions are required and help recipients explain any nuances in the
data and provide a fuller picture of the quantitative measures. Data quality questions are
included for you to provide information about the data reported to help explain
representativeness, completeness, and other data quality considerations.

Key Reporting Fields
Label

Used to give a shorthand to each measure.

Name

Descriptive name of performance measure.

Primary Unit of
Measure
Numerator
Denominator

Quantitative value (e.g., count or percentage).
Suggested numerator (included if there is a denominator).
Suggested denominator (if applicable)

Disaggregates

The separation of indicators into smaller units to identify underlying
trends and patterns. Allows for understanding how subgroups are
differently impacted. All disaggregates are required unless otherwise
noted as optional.

Reporting
Specifications

Descriptions that operationalize how to report each measure to CDC.

Contextual
Questions

Questions to improve CDC’s understanding of numeric data. As a
complement to the reported performance measures data, recipients are
asked to provide qualitative contextual explanatory information.

Data Quality

Specific questions for which recipients should describe data quality and
representativeness of the data, for example, issues or concerns with
respect to data quality and completeness.

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Indicator Reference Sheets for Each
Performance Measure

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HE_Impact

Impactful practices for improving access to
care and treatment for PWUD who are
historically underserved by overdose
prevention programs

Key Reporting Fields
Primary
Measure

This is a qualitative measure. It is a narrative description of the impactful
practices you observe in your jurisdiction that improve access to care and
treatment for PWUD. There is no quantitative reporting required for
this performance measure. This may be reported in Partner’s Portal.

Disaggregates

N/A

Reporting
Specifications

The following format is recommended for reporting this qualitative
indicator:
1. Brief description of the implemented and/or tailored (adapted to
specific cultural, linguistic, environmental, or social needs of
populations) evidence-based intervention or innovative practice
(including setting and whether navigators were included if
applicable) and how these compare to previous efforts.
2. How access to care or treatment has been improved, and what
new/existing community assets were leveraged.
3. Specific populations disproportionately affected by overdose and
underserved with care and treatment programs are impacted by
efforts (if tracked).
4. This is optional. Any other outcomes that were improved (provides
recipients the option to expand beyond access to care and
include any other outcomes, for example, retention in care,
decreased opioid use).
The length of the narrative should be succinct, but each impactful
practice* should have a descriptive paragraph if more than one is
outlined.
*Note: If your jurisdiction or partners have not implemented any
impactful practices at the time of reporting, please note in the relevant
data submission field “no practices have been implemented to improve
access to care and treatment to date.”

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Contextual
Questions

Data Quality

1.
2.

1.

What barriers prevent achieving equitable access to care and
treatment for SUD?
What facilitators support achieving equitable access to care and
treatment for SUD?
Describe any issues or concerns that impact the quality of the data
shared (e.g., data completeness, data accuracy, facilitators/barriers for
collection and reporting).

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HE_Activities
Number of health equity focused
overdose prevention
interventions implemented with
OD2A funding
Key Reporting Fields
Primary Unit of
Measure

Total count of health equity focused activities

Disaggregates

Settings
• Health/Clinical (e.g., emergency department, hospitals, clinics,
outpatient, inpatient, primary care, pharmacies)
• Harm reduction (e.g., SSPs)
• Public safety (e.g., criminal justice, EMS)
• Other
Total_HE_Activities
This is a formula field that will generate a total count of health equity
focused overdose prevention activities that occurred in a clinical, harm
reduction, public safety, or other settings during the designated reporting
period once the disaggregates below are entered into the appropriate
fields.
HE_Clinical_Settings
Enter a whole number for the health equity focused overdose prevention
activities that occurred in a health/clinical setting.

Reporting
Specifications

HE_HR_Settings
Enter a whole number for the health equity focused overdose prevention
activities that occurred in a harm reduction setting.
HE_Public_Safety_Settings
Enter a whole number for the health equity focused overdose prevention
activities that occurred in a public safety setting.
HE_Other_Settings
Enter a whole number that reflects the health equity focused overdose
prevention activities that occurred in any setting outside of clinical, harm
reduction, and public safety.

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Contextual
Questions

Data Quality

1.

Please describe the activities in this performance measure, for whom
they were intended, and how the activities were implemented and/or
tailored (e.g., linguistically, culturally) for racially, ethnically, and
linguistically diverse populations?

1.

Describe any issues or concerns that impact the quality of the data
shared (e.g., data completeness, data accuracy, facilitators/barriers for
collection and reporting).

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HR_Encounters
Number of harm reduction
service encounters at
organizations funded or
supported by OD2A
Key Reporting Fields
Primary Unit of
Measure

Disaggregates

Total count of harm reduction service encounters
Selected harm reduction services:
• Number of service encounters where in-person drug checking
occurred, and result was provided back to the participant (e.g.,
use of FTIR/mass spectrometer)
• This disaggregate is optional. Number of service encounters
with people at highest risk of overdose (Defined by the needs of
populations served and jurisdictional context) and/or with
populations disproportionately affected by overdose
Locations where harm reduction services were provided:
• Zip code(s) where harm reduction services are provided. (Note:
this is NOT the zip code of the participant’s residence)
Total_HR_Encounters
This is a formula field that will generate a total count of harm
reduction service encounters (e.g., in-person, mail, telephone,
online) that occurred at OD2A: LOCAL funded organizations during
the designated reporting period once the data are entered by zip
code into the appropriate fields. Note the total is calculated from
the data entered by zip code, not the encounters with drug
checking disaggregates.

Reporting
Specifications

Encounters_with_Drug_Checking
Enter a whole number for service encounters where drug checking
occurred.
Encounters_with_People_High_Risk
This disaggregate is optional. If chosen, enter a whole number for
service encounters with people at highest risk of overdose and/or
with populations disproportionately affected by overdose.

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Reporting
Specifications
(continued)

ZipCode_By_HR_Service_Site
Enter the five-digit zip code for each site where harm reduction
services (e.g., in-person, mail, telephone, online) were provided. For
any service site where services are provided in person, use the brickand-mortar location zip code. For services provided via phone or
mail, use the address of the brick-and-mortar location. For mobilebased outreach services, use the zip code of where the outreach
encounter happened. For any service sites where zip codes are
unknown, provide the total number of encounters that occurred
across locations with unknown zip codes in the designated cell for
“unknown” within the reporting tool.
Num_Encounters_ZipCode
Enter a whole number for service encounters for each zip code
provided. When the zip code is “unknown” total the remaining
encounters and enter a whole number.
1.

Contextual
Questions

What are the barriers for people accessing harm reduction
services in your jurisdiction?
2. What are the facilitators for people accessing harm reduction
services in your jurisdiction?
3. What types of services are included in the encounters
reported?
4. Please estimate the proportion of harm reduction service
encounters that occurred:
___% at brick and mortar locations
___% via mobile-based outreach services
___% via mail-based delivery
___% other (please specify)
5. (If selecting optional disaggregate), describe who your
jurisdiction serves when referring to populations
disproportionately affected by overdose.
1.

Data Quality
2.

Describe any issues or concerns that impact the quality of the
data shared (e.g., data completeness, data accuracy,
facilitators/barriers for collection and reporting).
How many OD2A-funded organizations are included in the data
submitted?

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HR_Naloxone
Number of naloxone doses
distributed by OD2A-funded or
supported organizations
Key Reporting Fields
Primary Unit of
Measure

Total count of pre-measured naloxone doses distributed
•

Disaggregates

•
•

•

Reporting
Specifications

Type of funded organization (e.g., SSPs, CBOs, senior care
organizations, faith-based organizations, emergency
department/urgent care, other healthcare organizations, police
departments, jails/prisons, colleges/universities, secondary education,
health department, other)
Number of all pre-measured naloxone doses distributed by
organization.
Zip code(s) where the organization distributed their doses (Note: if
distributed at a brick-and-mortar location like an SSP, use the zip
code of the SSP. This is NOT the zip code of the participant residence)
Number of all pre-measured naloxone doses distributed by zip code.

Total_Naloxone_Distributed
This is a formula field that will generate a total count of doses of naloxone
that were distributed by OD2A-funded organizations during the
designated reporting period once the disaggregates below are entered
into the appropriate fields.
Type_of_Organization
This variable has been pre-selected. If data are not available for a
particular type of organization, enter 0 in the adjacent row.
Num_Doses_Distributed
Enter a whole number for the count of all pre-measured naloxone doses
distributed for each type of organization.

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Reporting
Specifications
(continued)

Contextual
Questions

ZipCode_By_DistributionSite
Enter the five-digit zip code where the funded organization distributed
their doses of naloxone. For any distribution site where the zip code is
unknown, provide the total in the adjacent cell.
Num_Doses_Distributed_ZipCode
Enter a whole number for the count of pre-measured naloxone doses
distributed for each zip code. When the zip code is “unknown” total the
remaining doses distributed and enter a whole number.
1.
2.
3.

What are barriers to accessing or receiving naloxone?
What are facilitators to accessing or receiving naloxone?
How did you use OD2A Funds to distribute naloxone (e.g., staffing to
distribute, vending machines)?
4. This contextual question is optional. Describe mechanisms used to
distribute naloxone (e.g., mail in, handoffs).
1.

Data Quality

If you selected “other” type of organizations in the reporting tool,
please describe.
2. Describe any issues or concerns that impact the quality of the data
shared (e.g., data completeness, data accuracy, facilitators/barriers for
collection and reporting).

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LTC_Navigator_Hours

Number of hours navigators spent
on linkage to care (LTC) and harm
reduction services

Key Reporting Fields
Primary Unit of
Measure

Disaggregates

Total count of hours navigators spent on linkage efforts with PWUD

Entry points where navigators are primarily located:
• Health/Clinical (e.g., emergency department, hospitals,
clinics/practices, outpatient, inpatient, treatment centers, primary
care, pharmacies)
• Harm reduction (e.g., SSPs)
• Public safety (e.g., criminal justice, EMS)
• Other
Total_Navigator_Hours
This is a formula field that will generate a total count of hours navigators
spent linking PWUD to care and/or harm reduction services once the
disaggregates below are entered into the appropriate fields.
Navigator_Hours_Clinical
Enter a whole number for the total hours navigators have spent on
linkage to care or referral efforts in health/clinical settings.

Reporting
Specifications

Navigator_Hours_HR
Enter a whole number for the total hours navigators have spent on
linkage to care or referral efforts in harm reduction settings.
Navigator_Hours_Public_Safety
Enter a whole number for the total hours navigators have spent on
linkage to care or referral efforts in public safety settings.
Navigator_Hours_Other
Enter a whole number for the total hours navigators have spent on
linkage to care or referral efforts in any other settings.
Note: Hours should be reported in whole hours.

Contextual
Questions

1.
2.

How many navigators are included in this performance measure?
Describe what types of navigators are included in the data reported
(e.g., certified peer recovery specialists, peer support specialists, case

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3.

Data Quality

1.

managers, patient navigators, community health workers, persons
with lived experience).
Describe methods to support and retain navigators, including average
hourly pay, benefits, and additional supports (e.g., trauma, wellness,
emotional/psychological support, infrastructure such as a phone).
Describe any issues or concerns that impact the quality of the data
shared (e.g., data completeness, data accuracy, facilitators/barriers for
collection and reporting).

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LTC_Referrals
Number of referrals to care and
harm reduction services
Key Reporting Fields
Total count of unique referrals

Primary Unit of
Measure

Disaggregates

Note: If you refer one individual to both MOUD and harm reduction services, you
would account for 2 different referrals as you will report by each service. If you
refer the same individual multiple times, they would be counted multiple times.
This indicator does not count unique individuals, but rather referral encounters.

Types of care/service referrals:
• Number of referrals to MOUD
• Number of referrals to behavioral health treatment only (without
MOUD)
• Number of referrals to harm reduction services
Demographics of people who are referred:

•

Race and Ethnicity (American Indian or Alaska Native, Asian, Black or
African American, Hispanic or Latino, Middle Eastern or North African,
Native Hawaiian or Other Pacific Islander, White, Multiracial and/or
Multiethnic, Unknown)
Total_Referrals
This is a formula field that will generate a total count for all referrals to
MOUD, behavioral health treatment only (without MOUD), and harm
reduction services.

Reporting
Specifications

Race_Ethnicity
This variable has been pre-selected. If data are not available for a
particular race and ethnicity, enter 0 for all variables in the adjacent row.
Note: when the race_ethnicity is marked unknown, this also includes if an
individual preferred not to answer.
Ref_MOUD
Enter a whole number for all referrals to MOUD for each race and
ethnicity with available data.
Ref_Behavioral_Trt
Enter a whole number for all referrals to behavioral health treatment only
(without MOUD) for each race and ethnicity with available data.
Ref_to_HR
Enter a whole number for all referrals to harm reduction services for each
race and ethnicity with available data.

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Reporting
Specifications
(continued)

Total_Ref_Race_Ethnicity
This is a formula field that will generate a total count for all referrals to
MOUD, behavioral treatment only (without MOUD) and harm reduction
services by each race and ethnicity.
Types of Impactful Referrals
1. This contextual question is optional. If you have other OD2A funded or
supported referrals beyond referrals to MOUD, behavioral treatment
only (without MOUD), and harm reduction services. Please describe
the “other” types of referrals.

Contextual
Questions

Reporting Partners
2. Approximately, what % of healthcare facilities (e.g., hospitals,
emergency departments, and other clinical settings) reported data to
your jurisdiction for this performance measure? (If % not available,
report total number of healthcare facilities that reported)
3. Approximately, what % of EMS agencies reported data to your
jurisdiction for this performance measure? (If % not available, report
total number of EMS agencies that reported).
4. Approximately, what % of carceral settings (e.g., prisons and jails),
reported data to your jurisdiction for this performance measure? (If %
not available, report total number of carceral settings that reported).

5. Approximately, what % of harm reduction settings (e.g., SSPs)
reported data to your jurisdiction for this performance measure? (If %
not available, report total number of carceral settings that reported).

Data Quality

1.

Describe any issues or concerns that impact the quality of the data
shared (e.g., data completeness, data accuracy, facilitators/barriers for
collection and reporting).

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HS_Training

Percent of clinicians who received
training on implementing the “2022 CDC
Clinical Practice Guideline for Prescribing
Opioids for Pain”

Key Reporting Fields
Primary Unit of
Measure

Percent of clinicians trained

Numerator

Count of clinicians trained

Denominator

Count of eligible clinicians
*We recognize not all jurisdictions will have a training model that lends
itself to collecting a denominator and we will work with recipients on a
case-by-case basis.

Disaggregates

•

Specialty (e.g., Primary care, Emergency medicine, Hospitalists,
Surgeons, OB/GYNs, Neurologists, Dentists, Physical medicine and
rehabilitation, Occupational medicine, Pharmacists)

Total_Percentage_trained
This is a formula field that will generate a percentage of clinicians trained
on implementing the 2022 CDC Clinical Practice Guidelines for
Prescribing Opioids for Pain once the numerator and denominator are
entered into the appropriate fields for each specialty.

Reporting
Specifications

Specialty
This variable has been pre-selected. If data are not available for a
particular specialty, enter 0 for all variables in the adjacent row.
Num_Trained
Enter a numerator for the unique clinicians trained on implementing the
2022 CDC Clinical Practice Guidelines for Prescribing Opioids for Pain for
each specialty.

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Reporting
Specifications
(continued)

Num_Eligible
Enter a denominator for all eligible individuals who could be trained on
implementing the 2022 CDC Clinical Practice Guidelines for Prescribing
Opioids for Pain for each specialty.
Percent_Clinician_Trained
This is a formula field that will generate a percentage of clinicians trained
for each specialty once the numerator (Num_Trained) and denominator
(Num_Eligible) are entered into the appropriate fields.
1.

Contextual
Questions

Data Quality

Describe the trainings including the title, number offered, length, who
conducted them, and where the training occurred.
2. What populations are served by the clinicians who were trained?
3. What are barriers to effectively training clinicians on the “2022 CDC
Clinical Practice Guideline”?
4. What are facilitators to effectively training clinicians on the “2022 CDC
Clinical Practice Guideline”?
1.

Describe any issues or concerns that impact the quality of the data
shared (e.g., data completeness, data accuracy, facilitators/barriers for
collection and reporting).

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HS_SUD_Protocols

Number of health settings implementing
or improving protocols and/or policies for
evidence-based SUD treatment or
referrals

Key Reporting Fields
Primary Unit of
Measure

Total count of health settings
Number of health settings where protocols or policies have been
implemented/improved for evidence-based SUD treatment
• Number of health settings where protocols or policies have been
implemented/improved for evidence-based SUD referrals
Total_Health_Settings
Enter the total count of health settings where protocols and/or policies
have been implemented/improved for evidence-based SUD treatment
and/or referrals. Note this will be the number of unique health settings,
regardless of whether they have just one or both types of
protocols/policies.
•

Disaggregates

Reporting
Specifications

Num_Settings_SUD_Treatment
Enter a whole number for the health settings where protocols or policies
have been implemented/improved for evidence-based SUD treatment.
Num_Settings_SUD_Referrals
Enter a whole number for the health settings where protocols or policies
have been implemented/improved for evidence-based SUD referrals.
1.

Contextual
Questions

Data Quality

2.

1.
2.

Describe how access to MOUD for health settings has changed since
implementing policies or protocols.
Describe the partnerships for SUD referral with the health settings
included in this indicator. What steps were taken to develop and build
the partnerships for SUD referrals?
What types of health settings are included in the reported data?
Describe any issues or concerns that impact the quality of the data
shared (e.g., data completeness, data accuracy, facilitators/barriers for
collection and reporting).

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Reporting
OD2A: LOCAL recipients are expected to report on all performance measures on an annual
basis. We have selected a short list of measures we believe are feasible for most recipients to
report on. This does not limit what individual health departments want to collect and analyze
for your own uses, and individual recipients can examine their capacities to collect, analyze,
and disseminate additional performance measure data.
Data collection may be ongoing in each individual health department with partners
reporting to health departments monthly or quarterly at minimum to allow for discussion
and potential course corrections early on. As part of the performance measures submission,
DOP staff at the CDC commit to review the data, engage with recipients in discussion of the
data, and learn from health departments’ experiences and expertise gathered through prior
and ongoing efforts to collect data and further strengthen overdose prevention programs.
Once data quality is at a sufficient place, the CDC will share data reports back to individual
recipients with their own data. CDC will use the performance measures data along with data
from work plans, APRs, and other sources to craft case studies and data stories to share with
CDC leadership, Health and Human Services, and other federal policymakers. We will share
these with recipients as well. CDC will find opportunities for mutual learning, growth, and
sharing best practices so that we can all learn from each other.

Reporting Process
The current plan is for recipients to report performance measure data in Partner’s Portal. The
1 qualitative performance measure, contextual questions, and data quality questions will be
submitted directly into the Partner’s Portal platform. Data for the 7 quantitative measures
along with their disaggregates will be submitted using the Excel tool we developed—the
Excel tool will be submitted as an attachment within Partner’s Portal. The Excel tool has a tab
titled, “Start Here.” Please read the information on that tab before entering data.
Please note that the CDC is requesting that jurisdictions enter all counts—please do not
suppress small numbers. All numbers will be available to the CDC OD2A: LOCAL Program
Evaluation Team, and small counts will not be shared with anyone outside the support team.
The CDC OD2A: LOCAL Program Evaluation Team will aggregate small counts before any
data are shared, and we will consult with recipients on plans to share data. If the count is
zero, please enter “0”—please do not leave these cells null or blank to ensure these cells are
not mischaracterized as missing data.

Excel Reporting Tool
Performance measures will be reported using the Partner’s Portal (see reporting process
above). To aid in data collection with your partners and provide a clearer roadmap for data
collection including required and optional disaggregates, we have developed an Excel-based
tool, OD2A: LOCAL Performance Measure Reporting Tool.

24

Example of OD2A: LOCAL Performance Measure Reporting Tool.

25