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Community-based
Indicators for HIV Programs
Jackie Hellen, MPH
MEASURE Evaluation
Palladium
July 31, 2018
WEBINAR
Overview of the collection
A web-based interactive tool that provides
community-based HIV programs with a list of
routine standardized indicators, detailed
indicator definitions and reference details,
examples of data use, additional resources,
and a means by provide feedback and
recommendations
Available at:
https://www.measureevaluation.org/community-based-indicators
Monitoring community HIV
programs
Addressing a need
• Community data is key to HIV programming
but access to quality data can be
complicated
• Lack of guidance on a set of standardized
indicators to evaluate HIV program performance
at community level
• Information collected primarily to inform reporting
requirements, not decision making
• Community-based information systems (CBIS)
often collect duplicative and poor-quality
information, cause high reporting burden for
community workers
at the community level
What do you mean by
Community-based HIV programs or program
components, implemented by government or
nongovernmental agencies, target the general
population, key populations, or vulnerable
children and their families in HIV prevention or
treatment interventions at the household and
individual levels through community workers
community-based HIV programs?
What do you mean by
A CBIS is a dynamic system that
includes information on how
data are collected, how they
flow, how to assess and improve
data quality, and how the
information is used. A CBIS
involves data collection,
management, and analysis of
health and related services
provided to communities outside
of facilities (de la Torre, 2014).
community-based information
systems?
What do you mean by
• Volunteer or non-volunteer
community health, extension, or
outreach workers
• Can also be called community
volunteers, agents, promoters, or
distributors
• Skilled birth attendants or midwives,
social service or case management
workers
• Key collectors of this data
• Provide household-level HIV care
and support
• Often members of the communities
that they support
• Often trained and supported by the
health or social service systems
community workers?
Background and Methods
In 2017-2018, MEASURE mapped
data elements from data
collection tools used at the
community level by HIV
programs in Nigeria, Ethiopia,
South Africa, Uganda, Kenya,
Côte d’Ivoire, the Democratic
Republic of the Congo, and
Botswana.
We examined registers, home
visit and household data
collection sheets, referral forms,
and checklists from key
population, vulnerable children,
outreach, and HIV prevention,
care, and treatment programs
used at the community level.
Methods step by step
1. Reached out to governmental partners and
implementing partners in each country
2. Collected data collection tools used at community
level for HIV programs
3. Extracted all data elements from the tools in Excel
database
4. Recorded data elements by source and number of
times collected
5. Identified the most commonly collected data
elements
6. Sent to partners for feedback
7. Transformed final data elements into list of
indicators
8. Created performance indicator reference sheets
per indicator
Summary List
27 indicators are
categorized in the
summary list by areas of
community-based HIV
program implementation:
1. Vulnerable children
2. Prevention of mother-to-
child transmission
3. Key populations
4. HIV prevention
5. Home-based care
implementation
Areas of program
Clicking on an indicator brings users
to indicator definitions based on
USAID’s performance indicator
reference sheets. Indicators were
designed for data collection by
community programs and agents.
Definitions include:
• How to use the indicator
• Numerator
• Unit of measure
• Calculation
• Method of measurement
• Data source
• Disaggregation
• Data quality considerations
• Reporting frequency
• Data element
• Category
• References and additional resources
Reference sheets
Performance Indicator
Data use cases
We also reached out to
partners to learn about
instances where community-
based HIV data informed
programmatic actions,
plans, or decisions. These
decisions led to reallocation
of project inputs or could be
attributed to improved
outputs or outcomes.
Are there examples of data
use for these indicators?
Source: L10K Project, JSI
Conceptual framework
for community-based HIV
program data demand and use
Thank you….
Any questions?
For any additional questions,
please contact either myself
(Jackie.hellen@thepalladiugroup.com) or Dawne
Walker (dawne.walker@thepalladiumgroup.com).
This presentation was produced with the support of the United States
Agency for International Development (USAID) under the terms of
MEASURE Evaluation cooperative agreement AID-OAA-L-14-00004.
MEASURE Evaluation is implemented by the Carolina Population
Center, University of North Carolina at Chapel Hill in partnership with
ICF International; John Snow, Inc.; Management Sciences for Health;
Palladium; and Tulane University. Views expressed are not necessarily
those of USAID or the United States government.
www.measureevaluation.org

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Standardized indicators for monitoring community HIV programs

  • 1. Community-based Indicators for HIV Programs Jackie Hellen, MPH MEASURE Evaluation Palladium July 31, 2018 WEBINAR
  • 2. Overview of the collection A web-based interactive tool that provides community-based HIV programs with a list of routine standardized indicators, detailed indicator definitions and reference details, examples of data use, additional resources, and a means by provide feedback and recommendations Available at: https://www.measureevaluation.org/community-based-indicators Monitoring community HIV programs
  • 3.
  • 4. Addressing a need • Community data is key to HIV programming but access to quality data can be complicated • Lack of guidance on a set of standardized indicators to evaluate HIV program performance at community level • Information collected primarily to inform reporting requirements, not decision making • Community-based information systems (CBIS) often collect duplicative and poor-quality information, cause high reporting burden for community workers at the community level
  • 5. What do you mean by Community-based HIV programs or program components, implemented by government or nongovernmental agencies, target the general population, key populations, or vulnerable children and their families in HIV prevention or treatment interventions at the household and individual levels through community workers community-based HIV programs?
  • 6. What do you mean by A CBIS is a dynamic system that includes information on how data are collected, how they flow, how to assess and improve data quality, and how the information is used. A CBIS involves data collection, management, and analysis of health and related services provided to communities outside of facilities (de la Torre, 2014). community-based information systems?
  • 7. What do you mean by • Volunteer or non-volunteer community health, extension, or outreach workers • Can also be called community volunteers, agents, promoters, or distributors • Skilled birth attendants or midwives, social service or case management workers • Key collectors of this data • Provide household-level HIV care and support • Often members of the communities that they support • Often trained and supported by the health or social service systems community workers?
  • 8. Background and Methods In 2017-2018, MEASURE mapped data elements from data collection tools used at the community level by HIV programs in Nigeria, Ethiopia, South Africa, Uganda, Kenya, Côte d’Ivoire, the Democratic Republic of the Congo, and Botswana. We examined registers, home visit and household data collection sheets, referral forms, and checklists from key population, vulnerable children, outreach, and HIV prevention, care, and treatment programs used at the community level.
  • 9.
  • 10. Methods step by step 1. Reached out to governmental partners and implementing partners in each country 2. Collected data collection tools used at community level for HIV programs 3. Extracted all data elements from the tools in Excel database 4. Recorded data elements by source and number of times collected 5. Identified the most commonly collected data elements 6. Sent to partners for feedback 7. Transformed final data elements into list of indicators 8. Created performance indicator reference sheets per indicator
  • 11.
  • 12. Summary List 27 indicators are categorized in the summary list by areas of community-based HIV program implementation: 1. Vulnerable children 2. Prevention of mother-to- child transmission 3. Key populations 4. HIV prevention 5. Home-based care
  • 14. Clicking on an indicator brings users to indicator definitions based on USAID’s performance indicator reference sheets. Indicators were designed for data collection by community programs and agents. Definitions include: • How to use the indicator • Numerator • Unit of measure • Calculation • Method of measurement • Data source • Disaggregation • Data quality considerations • Reporting frequency • Data element • Category • References and additional resources Reference sheets Performance Indicator
  • 15. Data use cases We also reached out to partners to learn about instances where community- based HIV data informed programmatic actions, plans, or decisions. These decisions led to reallocation of project inputs or could be attributed to improved outputs or outcomes. Are there examples of data use for these indicators? Source: L10K Project, JSI
  • 16. Conceptual framework for community-based HIV program data demand and use
  • 17. Thank you…. Any questions? For any additional questions, please contact either myself (Jackie.hellen@thepalladiugroup.com) or Dawne Walker (dawne.walker@thepalladiumgroup.com).
  • 18. This presentation was produced with the support of the United States Agency for International Development (USAID) under the terms of MEASURE Evaluation cooperative agreement AID-OAA-L-14-00004. MEASURE Evaluation is implemented by the Carolina Population Center, University of North Carolina at Chapel Hill in partnership with ICF International; John Snow, Inc.; Management Sciences for Health; Palladium; and Tulane University. Views expressed are not necessarily those of USAID or the United States government. www.measureevaluation.org