SlideShare a Scribd company logo
1 of 35
Using maps in Decision-Making to
Strengthen Programs for Orphans
     and Vulnerable Children


             Jen Curran
         MEASURE Evaluation
           September 2012
• OVC Data Demand and Use Workshop, March
  2012

• Challenges to mapping data related to OVC and
  OVC programs

• Successes in mapping data related to OVC and
  OVC programs

• Where do we go now? Future in mapping OVC
  related data.
OVC Workshop in March

 Three country teams; Ethiopia, Uganda &
  Tanzania
 Participants were a mix of Ministry, USAID, IPs,
  and CBOs.
 Goals were to help facilitate the broader use of
  data for evidence-based programming and to
  increase demand for an increase in data
  availability and quality.
Types of decisions OVC programs
     need to make
        Allocating resources to sub-partners *
        Determining resource allocations for specific activities within the OVC
         program (health, nutrition, education, etc…) *
        OVC program quality improvements
        Determining location of OVC service delivery **
        Determining unmet OVC needs *
        OVC program expansion *
        OVC program monitoring
        Allocating resources to Ips *




* Maps can be used to help make these decisions
** Maps are imperative for making these decisions
Types of program data use/have
   OVC Situational Analysis      National HIV Prevalence Data
   OVC MIS                       DHS/AIS/MIS
   APR Reports                   Impact Evaluations
   National Strategic Plans      IP Quarterly Reports
   OGAC Priority reports         Census data
   COP Planning                  Education statistics
   Human Resources data          ILO statistics
   LQAs & DQAs                   Household expenditures data
   Costed-plans of action        FEWS NET
   Anecdotal information
Mapping Orphans and Vulnerable Children Data

       CHALLENGES
Challenges to Mapping OVC data



 Lots of different
type of indicators
Challenges to Mapping OVC data

Data comes in
from different
sources and in
different sizes
and shapes:
Challenges to
 Mapping OVC
     data:

Lack of disaggregation
Challenges to Mapping OVC data




•    Unclear geographic boundaries
    • Different names or spelling
Challenges to Mapping OVC data




Unlinkable datasets due to difference in
               regions.
Challenges to Mapping OVC data

     Some of its
   proprietary and
    some people
      don’t like
      sharing…




Source: http://www.ulsterbusiness.com/articles/2012/04/16/cim-ireland-data-protection-event
Mapping Orphans and Vulnerable Children Data

        SUCCESSES
Successes in mapping OVC data


 Linking data
is easier due
      to
standardized
    codes
Successes in
  mapping
  OVC data:
Here is where we are
     working…
Successes in
                 mapping OVC
                     data




Sources: NACC Prevalence Report, 2007 & PEPFAR KPMS
Successes in
mapping OVC
    data




Source: https://www.globalhivmeinfo.org/DigitalLibrary/Digital%20Library/OVC%20Mapping
%20Activity.pdf
Successes in
  mapping OVC
      data:
  Showing Service Providers
location and catchment areas
Successes in mapping OVC data

Showing Service
Provider
locations and
catchment areas
using
transportation
networks
Successes in mapping OVC data




We’ve created a
    deeper
understanding
 of our data




Source: MEASURE Evaluation
Mapping Orphans and Vulnerable Children Data

        What’s next?
Where can we go from here?

   Network analysis for
   understanding formal
       and informal
      relationships:

              •Referrals

    •Case Management

    •Continuum of Care

     •Strengthening the
          network


Source:
http://designmonitoringevaluation.blogspot.com/2010/03/network-
analysis-visualization-of.html
Where do we go from here

                OVC Mapping and
                Directory Project

          Children Services Directory:
                 1.Hard Copy
             2.Websites of service
                   providers
                  3.CD-ROM
           4.SMS provider directory
         5.Map providing services and
                contextual data




Source: http://pdf.usaid.gov/pdf_docs/PNADS350.pdf
Where can we go from here?




        Stronger Data Analysis:
On the fly analysis of correlating variables
Where can we go from here?




                   Robust geographic analysis
                           of our data
Where can we go from here?
                                             Community/Social mapping




Source: http://go.worldbank.org/6AV491AUX0
Where can we go from here?

           Crowdsourcing data


           http://www.youtube.com/watch?feature=player_embe




Source: http://www.frontlinesms.com/frontlinesms-in-action/video-audio/
Where can we go from here?




Source: https://smsconnectnamibia.crowdmap.com/?
Source: https://smsconnectnamibia.crowdmap.com/?
Where can we go from here?
Where can we go from here?
QUESTIONS?
MEASURE Evaluation is funded by the U.S. Agency for
International Development (USAID) and implemented by the
Carolina Population Center at the University of North Carolina
at Chapel Hill in partnership with Futures Group International,
ICF International, John Snow, Inc., Management Sciences for
Health, and Tulane University. Views expressed in this
presentation do not necessarily reflect the views of USAID or the
U.S. government.

MEASURE Evaluation is the USAID Global Health Bureau's
primary vehicle for supporting improvements in monitoring and
evaluation in population, health and nutrition worldwide.
MEASURE Evaluation is funded by the U.S. Agency for
International Development (USAID) and implemented by the
Carolina Population Center at the University of North
Carolina at Chapel Hill in partnership with Futures Group
International, ICF International, John Snow, Inc.,
Management Sciences for Health, and Tulane University.
The views expressed in this presentation do not necessarily
reflect the views of USAID or the United States government.

More Related Content

What's hot

Extrapolation of data from key population surveys and programs
Extrapolation of data from key population surveys and programsExtrapolation of data from key population surveys and programs
Extrapolation of data from key population surveys and programsMEASURE Evaluation
 
Collecting the PEPFAR OVC MER Essential Survey Indicators: Frequently Asked Q...
Collecting the PEPFAR OVC MER Essential Survey Indicators: Frequently Asked Q...Collecting the PEPFAR OVC MER Essential Survey Indicators: Frequently Asked Q...
Collecting the PEPFAR OVC MER Essential Survey Indicators: Frequently Asked Q...MEASURE Evaluation
 
Beyond Indicators and Reporting: M&E as a Systems Strengthening Intervention
Beyond Indicators and Reporting: M&E as a Systems Strengthening InterventionBeyond Indicators and Reporting: M&E as a Systems Strengthening Intervention
Beyond Indicators and Reporting: M&E as a Systems Strengthening InterventionMEASURE Evaluation
 
Strengthening Routine Health Information Systems (RHIS): Strategic Directions
Strengthening Routine Health Information Systems (RHIS): Strategic DirectionsStrengthening Routine Health Information Systems (RHIS): Strategic Directions
Strengthening Routine Health Information Systems (RHIS): Strategic DirectionsMEASURE Evaluation
 
Geospatial Targeting for HIV Programs Using Modelbuilder
Geospatial Targeting for HIV Programs Using ModelbuilderGeospatial Targeting for HIV Programs Using Modelbuilder
Geospatial Targeting for HIV Programs Using ModelbuilderMEASURE Evaluation
 
MEASURE Evaluation in Bangladesh: Strengthening HNP sector RHIS & M&E System
MEASURE Evaluation in Bangladesh: Strengthening HNP sector RHIS & M&E SystemMEASURE Evaluation in Bangladesh: Strengthening HNP sector RHIS & M&E System
MEASURE Evaluation in Bangladesh: Strengthening HNP sector RHIS & M&E SystemMEASURE Evaluation
 
Geography of PEPFAR 3.0: Data and Systems
Geography of PEPFAR 3.0: Data and SystemsGeography of PEPFAR 3.0: Data and Systems
Geography of PEPFAR 3.0: Data and SystemsMEASURE Evaluation
 
Building a Resilient Health System in Liberia: Health Information System (HIS...
Building a Resilient Health System in Liberia: Health Information System (HIS...Building a Resilient Health System in Liberia: Health Information System (HIS...
Building a Resilient Health System in Liberia: Health Information System (HIS...MEASURE Evaluation
 
Strengthening Information Systems for Community Based HIV Programs
Strengthening Information Systems for Community Based HIV ProgramsStrengthening Information Systems for Community Based HIV Programs
Strengthening Information Systems for Community Based HIV ProgramsMEASURE Evaluation
 
Enhancing FP/RH Decision Making through GIS Data Linking
Enhancing FP/RH Decision Making through GIS Data LinkingEnhancing FP/RH Decision Making through GIS Data Linking
Enhancing FP/RH Decision Making through GIS Data LinkingMEASURE Evaluation
 
Defining Quality of HIV Services for MSM and Transgender Women: Results of a ...
Defining Quality of HIV Services for MSM and Transgender Women: Results of a ...Defining Quality of HIV Services for MSM and Transgender Women: Results of a ...
Defining Quality of HIV Services for MSM and Transgender Women: Results of a ...MEASURE Evaluation
 
Surfing a Great Wave: Data Science and Global Health
Surfing a Great Wave: Data Science and Global HealthSurfing a Great Wave: Data Science and Global Health
Surfing a Great Wave: Data Science and Global HealthMEASURE Evaluation
 
Custom Country Tool: Global Application
Custom Country Tool: Global ApplicationCustom Country Tool: Global Application
Custom Country Tool: Global ApplicationMEASURE Evaluation
 
Measuring National M&E System Strengthening in Nigeria: Application of the Mo...
Measuring National M&E System Strengthening in Nigeria: Application of the Mo...Measuring National M&E System Strengthening in Nigeria: Application of the Mo...
Measuring National M&E System Strengthening in Nigeria: Application of the Mo...MEASURE Evaluation
 
Making Information Available to Improve Health
Making Information Available to Improve HealthMaking Information Available to Improve Health
Making Information Available to Improve HealthMEASURE Evaluation
 
Scaling Mobile Community-Based Information Systems
Scaling Mobile Community-Based Information SystemsScaling Mobile Community-Based Information Systems
Scaling Mobile Community-Based Information SystemsMEASURE Evaluation
 
M & E approaches for key population programs: perils, pitfalls, and promising...
M & E approaches for key population programs: perils, pitfalls, and promising...M & E approaches for key population programs: perils, pitfalls, and promising...
M & E approaches for key population programs: perils, pitfalls, and promising...LINKAGES
 
Interoperability & Crowdsourcing: Can these improve the management of ANC pro...
Interoperability & Crowdsourcing: Can these improve the management of ANC pro...Interoperability & Crowdsourcing: Can these improve the management of ANC pro...
Interoperability & Crowdsourcing: Can these improve the management of ANC pro...MEASURE Evaluation
 
Maps As a Tool for Data Use: Considerations for improvement
Maps As a Tool for Data Use: Considerations for improvementMaps As a Tool for Data Use: Considerations for improvement
Maps As a Tool for Data Use: Considerations for improvementMEASURE Evaluation
 
Demystifying Disaggregated Data: Factors that Affect Collection and Use of Se...
Demystifying Disaggregated Data: Factors that Affect Collection and Use of Se...Demystifying Disaggregated Data: Factors that Affect Collection and Use of Se...
Demystifying Disaggregated Data: Factors that Affect Collection and Use of Se...MEASURE Evaluation
 

What's hot (20)

Extrapolation of data from key population surveys and programs
Extrapolation of data from key population surveys and programsExtrapolation of data from key population surveys and programs
Extrapolation of data from key population surveys and programs
 
Collecting the PEPFAR OVC MER Essential Survey Indicators: Frequently Asked Q...
Collecting the PEPFAR OVC MER Essential Survey Indicators: Frequently Asked Q...Collecting the PEPFAR OVC MER Essential Survey Indicators: Frequently Asked Q...
Collecting the PEPFAR OVC MER Essential Survey Indicators: Frequently Asked Q...
 
Beyond Indicators and Reporting: M&E as a Systems Strengthening Intervention
Beyond Indicators and Reporting: M&E as a Systems Strengthening InterventionBeyond Indicators and Reporting: M&E as a Systems Strengthening Intervention
Beyond Indicators and Reporting: M&E as a Systems Strengthening Intervention
 
Strengthening Routine Health Information Systems (RHIS): Strategic Directions
Strengthening Routine Health Information Systems (RHIS): Strategic DirectionsStrengthening Routine Health Information Systems (RHIS): Strategic Directions
Strengthening Routine Health Information Systems (RHIS): Strategic Directions
 
Geospatial Targeting for HIV Programs Using Modelbuilder
Geospatial Targeting for HIV Programs Using ModelbuilderGeospatial Targeting for HIV Programs Using Modelbuilder
Geospatial Targeting for HIV Programs Using Modelbuilder
 
MEASURE Evaluation in Bangladesh: Strengthening HNP sector RHIS & M&E System
MEASURE Evaluation in Bangladesh: Strengthening HNP sector RHIS & M&E SystemMEASURE Evaluation in Bangladesh: Strengthening HNP sector RHIS & M&E System
MEASURE Evaluation in Bangladesh: Strengthening HNP sector RHIS & M&E System
 
Geography of PEPFAR 3.0: Data and Systems
Geography of PEPFAR 3.0: Data and SystemsGeography of PEPFAR 3.0: Data and Systems
Geography of PEPFAR 3.0: Data and Systems
 
Building a Resilient Health System in Liberia: Health Information System (HIS...
Building a Resilient Health System in Liberia: Health Information System (HIS...Building a Resilient Health System in Liberia: Health Information System (HIS...
Building a Resilient Health System in Liberia: Health Information System (HIS...
 
Strengthening Information Systems for Community Based HIV Programs
Strengthening Information Systems for Community Based HIV ProgramsStrengthening Information Systems for Community Based HIV Programs
Strengthening Information Systems for Community Based HIV Programs
 
Enhancing FP/RH Decision Making through GIS Data Linking
Enhancing FP/RH Decision Making through GIS Data LinkingEnhancing FP/RH Decision Making through GIS Data Linking
Enhancing FP/RH Decision Making through GIS Data Linking
 
Defining Quality of HIV Services for MSM and Transgender Women: Results of a ...
Defining Quality of HIV Services for MSM and Transgender Women: Results of a ...Defining Quality of HIV Services for MSM and Transgender Women: Results of a ...
Defining Quality of HIV Services for MSM and Transgender Women: Results of a ...
 
Surfing a Great Wave: Data Science and Global Health
Surfing a Great Wave: Data Science and Global HealthSurfing a Great Wave: Data Science and Global Health
Surfing a Great Wave: Data Science and Global Health
 
Custom Country Tool: Global Application
Custom Country Tool: Global ApplicationCustom Country Tool: Global Application
Custom Country Tool: Global Application
 
Measuring National M&E System Strengthening in Nigeria: Application of the Mo...
Measuring National M&E System Strengthening in Nigeria: Application of the Mo...Measuring National M&E System Strengthening in Nigeria: Application of the Mo...
Measuring National M&E System Strengthening in Nigeria: Application of the Mo...
 
Making Information Available to Improve Health
Making Information Available to Improve HealthMaking Information Available to Improve Health
Making Information Available to Improve Health
 
Scaling Mobile Community-Based Information Systems
Scaling Mobile Community-Based Information SystemsScaling Mobile Community-Based Information Systems
Scaling Mobile Community-Based Information Systems
 
M & E approaches for key population programs: perils, pitfalls, and promising...
M & E approaches for key population programs: perils, pitfalls, and promising...M & E approaches for key population programs: perils, pitfalls, and promising...
M & E approaches for key population programs: perils, pitfalls, and promising...
 
Interoperability & Crowdsourcing: Can these improve the management of ANC pro...
Interoperability & Crowdsourcing: Can these improve the management of ANC pro...Interoperability & Crowdsourcing: Can these improve the management of ANC pro...
Interoperability & Crowdsourcing: Can these improve the management of ANC pro...
 
Maps As a Tool for Data Use: Considerations for improvement
Maps As a Tool for Data Use: Considerations for improvementMaps As a Tool for Data Use: Considerations for improvement
Maps As a Tool for Data Use: Considerations for improvement
 
Demystifying Disaggregated Data: Factors that Affect Collection and Use of Se...
Demystifying Disaggregated Data: Factors that Affect Collection and Use of Se...Demystifying Disaggregated Data: Factors that Affect Collection and Use of Se...
Demystifying Disaggregated Data: Factors that Affect Collection and Use of Se...
 

Viewers also liked

M&E for Social Service System Strengthening
M&E for Social Service System Strengthening M&E for Social Service System Strengthening
M&E for Social Service System Strengthening MEASURE Evaluation
 
Strengthening National M&E Systems for Orphans and Vulnerable Children Programs
Strengthening National M&E Systems for Orphans and Vulnerable Children ProgramsStrengthening National M&E Systems for Orphans and Vulnerable Children Programs
Strengthening National M&E Systems for Orphans and Vulnerable Children ProgramsMEASURE Evaluation
 
RHIS Curriculum: Standardizing Core Competencies and Training Materials
RHIS Curriculum: Standardizing Core Competencies and Training MaterialsRHIS Curriculum: Standardizing Core Competencies and Training Materials
RHIS Curriculum: Standardizing Core Competencies and Training MaterialsMEASURE Evaluation
 
An Introduction to the Manual: How Do We Know if a Program Made a Difference?...
An Introduction to the Manual:How Do We Know if a Program Made a Difference?...An Introduction to the Manual:How Do We Know if a Program Made a Difference?...
An Introduction to the Manual: How Do We Know if a Program Made a Difference?...MEASURE Evaluation
 
Fundamentals of Program Impact Evaluation
Fundamentals of Program Impact EvaluationFundamentals of Program Impact Evaluation
Fundamentals of Program Impact EvaluationMEASURE Evaluation
 
Developing a National Orphans and Vulnerable Children Monitoring and Evaluati...
Developing a National Orphans and Vulnerable Children Monitoring and Evaluati...Developing a National Orphans and Vulnerable Children Monitoring and Evaluati...
Developing a National Orphans and Vulnerable Children Monitoring and Evaluati...MEASURE Evaluation
 
Overview of MEASURE Evaluation Support to OVC M&E in Nigeria
Overview of MEASURE Evaluation Support to OVC M&E in NigeriaOverview of MEASURE Evaluation Support to OVC M&E in Nigeria
Overview of MEASURE Evaluation Support to OVC M&E in NigeriaMEASURE Evaluation
 
Session 5 Implementation and USE OF central Health information systems suppo...
Session 5 Implementation and USE OF central  Health information systems suppo...Session 5 Implementation and USE OF central  Health information systems suppo...
Session 5 Implementation and USE OF central Health information systems suppo...COP_HHA
 
Including AIDS-affected young people in OVC research: Challenges and opportu...
Including AIDS-affected young people in OVC research:  Challenges and opportu...Including AIDS-affected young people in OVC research:  Challenges and opportu...
Including AIDS-affected young people in OVC research: Challenges and opportu...MEASURE Evaluation
 
The Prevalence, Experience and Management of Pain
The Prevalence, Experience and Management of PainThe Prevalence, Experience and Management of Pain
The Prevalence, Experience and Management of PainMEASURE Evaluation
 
Community Trace and Verify in Tanzania
Community Trace and Verify in TanzaniaCommunity Trace and Verify in Tanzania
Community Trace and Verify in TanzaniaMEASURE Evaluation
 
Measuring Success in Repositioning Family Planning
Measuring Success in Repositioning Family PlanningMeasuring Success in Repositioning Family Planning
Measuring Success in Repositioning Family PlanningMEASURE Evaluation
 
Assessing HIV Service: Use and Information Systems for Key Populations in Nam...
Assessing HIV Service: Use and Information Systems for Key Populations in Nam...Assessing HIV Service: Use and Information Systems for Key Populations in Nam...
Assessing HIV Service: Use and Information Systems for Key Populations in Nam...MEASURE Evaluation
 
Using the PLACE Method to Inform Decision Making
Using the PLACE Method to Inform Decision MakingUsing the PLACE Method to Inform Decision Making
Using the PLACE Method to Inform Decision MakingMEASURE Evaluation
 
Measuring Ethnic and Sexual Identities: Lessons from Two Studies in Central A...
Measuring Ethnic and Sexual Identities: Lessons from Two Studies in Central A...Measuring Ethnic and Sexual Identities: Lessons from Two Studies in Central A...
Measuring Ethnic and Sexual Identities: Lessons from Two Studies in Central A...MEASURE Evaluation
 
Monitoring Scale-up of Health Practices and Interventions
Monitoring Scale-up of Health Practices and InterventionsMonitoring Scale-up of Health Practices and Interventions
Monitoring Scale-up of Health Practices and InterventionsMEASURE Evaluation
 
Addressing Complexity in the Impact Evaluation of the Cross-Border Health Int...
Addressing Complexity in the Impact Evaluation of the Cross-Border Health Int...Addressing Complexity in the Impact Evaluation of the Cross-Border Health Int...
Addressing Complexity in the Impact Evaluation of the Cross-Border Health Int...MEASURE Evaluation
 
RHINO Forum Kickoff: iHRIS Open Source HR Information Solutions
RHINO Forum Kickoff: iHRIS Open Source HR Information SolutionsRHINO Forum Kickoff: iHRIS Open Source HR Information Solutions
RHINO Forum Kickoff: iHRIS Open Source HR Information SolutionsRoutine Health Information Network
 
Assessment of Constraints to Data Use
Assessment of Constraints to Data UseAssessment of Constraints to Data Use
Assessment of Constraints to Data UseMEASURE Evaluation
 
Integration as a Health Systems Strengthening Intervention: Case Studies from...
Integration as a Health Systems Strengthening Intervention: Case Studies from...Integration as a Health Systems Strengthening Intervention: Case Studies from...
Integration as a Health Systems Strengthening Intervention: Case Studies from...MEASURE Evaluation
 

Viewers also liked (20)

M&E for Social Service System Strengthening
M&E for Social Service System Strengthening M&E for Social Service System Strengthening
M&E for Social Service System Strengthening
 
Strengthening National M&E Systems for Orphans and Vulnerable Children Programs
Strengthening National M&E Systems for Orphans and Vulnerable Children ProgramsStrengthening National M&E Systems for Orphans and Vulnerable Children Programs
Strengthening National M&E Systems for Orphans and Vulnerable Children Programs
 
RHIS Curriculum: Standardizing Core Competencies and Training Materials
RHIS Curriculum: Standardizing Core Competencies and Training MaterialsRHIS Curriculum: Standardizing Core Competencies and Training Materials
RHIS Curriculum: Standardizing Core Competencies and Training Materials
 
An Introduction to the Manual: How Do We Know if a Program Made a Difference?...
An Introduction to the Manual:How Do We Know if a Program Made a Difference?...An Introduction to the Manual:How Do We Know if a Program Made a Difference?...
An Introduction to the Manual: How Do We Know if a Program Made a Difference?...
 
Fundamentals of Program Impact Evaluation
Fundamentals of Program Impact EvaluationFundamentals of Program Impact Evaluation
Fundamentals of Program Impact Evaluation
 
Developing a National Orphans and Vulnerable Children Monitoring and Evaluati...
Developing a National Orphans and Vulnerable Children Monitoring and Evaluati...Developing a National Orphans and Vulnerable Children Monitoring and Evaluati...
Developing a National Orphans and Vulnerable Children Monitoring and Evaluati...
 
Overview of MEASURE Evaluation Support to OVC M&E in Nigeria
Overview of MEASURE Evaluation Support to OVC M&E in NigeriaOverview of MEASURE Evaluation Support to OVC M&E in Nigeria
Overview of MEASURE Evaluation Support to OVC M&E in Nigeria
 
Session 5 Implementation and USE OF central Health information systems suppo...
Session 5 Implementation and USE OF central  Health information systems suppo...Session 5 Implementation and USE OF central  Health information systems suppo...
Session 5 Implementation and USE OF central Health information systems suppo...
 
Including AIDS-affected young people in OVC research: Challenges and opportu...
Including AIDS-affected young people in OVC research:  Challenges and opportu...Including AIDS-affected young people in OVC research:  Challenges and opportu...
Including AIDS-affected young people in OVC research: Challenges and opportu...
 
The Prevalence, Experience and Management of Pain
The Prevalence, Experience and Management of PainThe Prevalence, Experience and Management of Pain
The Prevalence, Experience and Management of Pain
 
Community Trace and Verify in Tanzania
Community Trace and Verify in TanzaniaCommunity Trace and Verify in Tanzania
Community Trace and Verify in Tanzania
 
Measuring Success in Repositioning Family Planning
Measuring Success in Repositioning Family PlanningMeasuring Success in Repositioning Family Planning
Measuring Success in Repositioning Family Planning
 
Assessing HIV Service: Use and Information Systems for Key Populations in Nam...
Assessing HIV Service: Use and Information Systems for Key Populations in Nam...Assessing HIV Service: Use and Information Systems for Key Populations in Nam...
Assessing HIV Service: Use and Information Systems for Key Populations in Nam...
 
Using the PLACE Method to Inform Decision Making
Using the PLACE Method to Inform Decision MakingUsing the PLACE Method to Inform Decision Making
Using the PLACE Method to Inform Decision Making
 
Measuring Ethnic and Sexual Identities: Lessons from Two Studies in Central A...
Measuring Ethnic and Sexual Identities: Lessons from Two Studies in Central A...Measuring Ethnic and Sexual Identities: Lessons from Two Studies in Central A...
Measuring Ethnic and Sexual Identities: Lessons from Two Studies in Central A...
 
Monitoring Scale-up of Health Practices and Interventions
Monitoring Scale-up of Health Practices and InterventionsMonitoring Scale-up of Health Practices and Interventions
Monitoring Scale-up of Health Practices and Interventions
 
Addressing Complexity in the Impact Evaluation of the Cross-Border Health Int...
Addressing Complexity in the Impact Evaluation of the Cross-Border Health Int...Addressing Complexity in the Impact Evaluation of the Cross-Border Health Int...
Addressing Complexity in the Impact Evaluation of the Cross-Border Health Int...
 
RHINO Forum Kickoff: iHRIS Open Source HR Information Solutions
RHINO Forum Kickoff: iHRIS Open Source HR Information SolutionsRHINO Forum Kickoff: iHRIS Open Source HR Information Solutions
RHINO Forum Kickoff: iHRIS Open Source HR Information Solutions
 
Assessment of Constraints to Data Use
Assessment of Constraints to Data UseAssessment of Constraints to Data Use
Assessment of Constraints to Data Use
 
Integration as a Health Systems Strengthening Intervention: Case Studies from...
Integration as a Health Systems Strengthening Intervention: Case Studies from...Integration as a Health Systems Strengthening Intervention: Case Studies from...
Integration as a Health Systems Strengthening Intervention: Case Studies from...
 

Similar to Using Maps in Decision Making to Strengthen Programs for Orphans and Vulnerable Children

Responsible Data for Children Training_PublicSlides_110922.pdf
Responsible Data for Children Training_PublicSlides_110922.pdfResponsible Data for Children Training_PublicSlides_110922.pdf
Responsible Data for Children Training_PublicSlides_110922.pdfStefaan Verhulst
 
Rivero - Data Value Chain
Rivero - Data Value ChainRivero - Data Value Chain
Rivero - Data Value ChainCarlos Rivero
 
Towards an administrative data census the story so far
Towards an administrative data census   the story so farTowards an administrative data census   the story so far
Towards an administrative data census the story so farOffice for National Statistics
 
INTEGRATING CSI INTO OVC PROGRAM M&E SYSTEM
INTEGRATING CSI INTO OVC PROGRAM  M&E SYSTEMINTEGRATING CSI INTO OVC PROGRAM  M&E SYSTEM
INTEGRATING CSI INTO OVC PROGRAM M&E SYSTEMMEASURE Evaluation
 
Integrated Vulnerability Assessment (IVA): Status overview and role in M&E of...
Integrated Vulnerability Assessment (IVA): Status overview and role in M&E of...Integrated Vulnerability Assessment (IVA): Status overview and role in M&E of...
Integrated Vulnerability Assessment (IVA): Status overview and role in M&E of...NAP Global Network
 
AURIN - Overview
AURIN - OverviewAURIN - Overview
AURIN - OverviewARDC
 
AURIN - Overview
AURIN - OverviewAURIN - Overview
AURIN - OverviewARDC
 
Using Data for Informed Decision Making
Using Data for Informed Decision MakingUsing Data for Informed Decision Making
Using Data for Informed Decision MakingINGovConf
 
Data Quality and Neogeography
Data Quality and NeogeographyData Quality and Neogeography
Data Quality and Neogeographymdob
 
Enabling Data-Driven Real-Time Governance
Enabling Data-Driven Real-Time GovernanceEnabling Data-Driven Real-Time Governance
Enabling Data-Driven Real-Time GovernanceSocialCops
 
What Can Happen when Genome Sciences Meets Data Sciences?
What Can Happen when Genome Sciences Meets Data Sciences?What Can Happen when Genome Sciences Meets Data Sciences?
What Can Happen when Genome Sciences Meets Data Sciences?Philip Bourne
 
Mpumalanga HIV Data Triangulation and Use 4 Nov 2014
Mpumalanga HIV Data Triangulation and Use 4 Nov 2014Mpumalanga HIV Data Triangulation and Use 4 Nov 2014
Mpumalanga HIV Data Triangulation and Use 4 Nov 2014aleidich
 

Similar to Using Maps in Decision Making to Strengthen Programs for Orphans and Vulnerable Children (20)

Responsible Data for Children Training_PublicSlides_110922.pdf
Responsible Data for Children Training_PublicSlides_110922.pdfResponsible Data for Children Training_PublicSlides_110922.pdf
Responsible Data for Children Training_PublicSlides_110922.pdf
 
Rivero - Data Value Chain
Rivero - Data Value ChainRivero - Data Value Chain
Rivero - Data Value Chain
 
UCC Internal DQA
UCC Internal DQA UCC Internal DQA
UCC Internal DQA
 
Towards an administrative data census the story so far
Towards an administrative data census   the story so farTowards an administrative data census   the story so far
Towards an administrative data census the story so far
 
INTEGRATING CSI INTO OVC PROGRAM M&E SYSTEM
INTEGRATING CSI INTO OVC PROGRAM  M&E SYSTEMINTEGRATING CSI INTO OVC PROGRAM  M&E SYSTEM
INTEGRATING CSI INTO OVC PROGRAM M&E SYSTEM
 
Integrated Vulnerability Assessment (IVA): Status overview and role in M&E of...
Integrated Vulnerability Assessment (IVA): Status overview and role in M&E of...Integrated Vulnerability Assessment (IVA): Status overview and role in M&E of...
Integrated Vulnerability Assessment (IVA): Status overview and role in M&E of...
 
Streamlining data usage in michigan using ed fi
Streamlining data usage in michigan using ed fiStreamlining data usage in michigan using ed fi
Streamlining data usage in michigan using ed fi
 
Open Sesame: Open Data, Data Liberation and Opportunities for Librarians
Open Sesame: Open Data, Data Liberation and Opportunities for LibrariansOpen Sesame: Open Data, Data Liberation and Opportunities for Librarians
Open Sesame: Open Data, Data Liberation and Opportunities for Librarians
 
AURIN - Overview
AURIN - OverviewAURIN - Overview
AURIN - Overview
 
USING EQUIST FOR BOTTLENECK ANALYSIS
USING EQUIST FOR BOTTLENECK ANALYSIS�USING EQUIST FOR BOTTLENECK ANALYSIS�
USING EQUIST FOR BOTTLENECK ANALYSIS
 
AURIN - Overview
AURIN - OverviewAURIN - Overview
AURIN - Overview
 
Using Data for Informed Decision Making
Using Data for Informed Decision MakingUsing Data for Informed Decision Making
Using Data for Informed Decision Making
 
PEDSnet DQA CHOP Symposium
PEDSnet DQA CHOP SymposiumPEDSnet DQA CHOP Symposium
PEDSnet DQA CHOP Symposium
 
Making Data Work for You
Making Data Work for YouMaking Data Work for You
Making Data Work for You
 
Approach to Challenge 4 - Global WASH Data Portal
Approach to Challenge 4 - Global WASH Data PortalApproach to Challenge 4 - Global WASH Data Portal
Approach to Challenge 4 - Global WASH Data Portal
 
Innovations in Data for Decision Making
Innovations in Data for Decision MakingInnovations in Data for Decision Making
Innovations in Data for Decision Making
 
Data Quality and Neogeography
Data Quality and NeogeographyData Quality and Neogeography
Data Quality and Neogeography
 
Enabling Data-Driven Real-Time Governance
Enabling Data-Driven Real-Time GovernanceEnabling Data-Driven Real-Time Governance
Enabling Data-Driven Real-Time Governance
 
What Can Happen when Genome Sciences Meets Data Sciences?
What Can Happen when Genome Sciences Meets Data Sciences?What Can Happen when Genome Sciences Meets Data Sciences?
What Can Happen when Genome Sciences Meets Data Sciences?
 
Mpumalanga HIV Data Triangulation and Use 4 Nov 2014
Mpumalanga HIV Data Triangulation and Use 4 Nov 2014Mpumalanga HIV Data Triangulation and Use 4 Nov 2014
Mpumalanga HIV Data Triangulation and Use 4 Nov 2014
 

More from MEASURE Evaluation

Managing missing values in routinely reported data: One approach from the Dem...
Managing missing values in routinely reported data: One approach from the Dem...Managing missing values in routinely reported data: One approach from the Dem...
Managing missing values in routinely reported data: One approach from the Dem...MEASURE Evaluation
 
Use of Routine Data for Economic Evaluations
Use of Routine Data for Economic EvaluationsUse of Routine Data for Economic Evaluations
Use of Routine Data for Economic EvaluationsMEASURE Evaluation
 
Routine data use in evaluation: practical guidance
Routine data use in evaluation: practical guidanceRoutine data use in evaluation: practical guidance
Routine data use in evaluation: practical guidanceMEASURE Evaluation
 
Tuberculosis/HIV Mobility Study: Objectives and Background
Tuberculosis/HIV Mobility Study: Objectives and BackgroundTuberculosis/HIV Mobility Study: Objectives and Background
Tuberculosis/HIV Mobility Study: Objectives and BackgroundMEASURE Evaluation
 
How to improve the capabilities of health information systems to address emer...
How to improve the capabilities of health information systems to address emer...How to improve the capabilities of health information systems to address emer...
How to improve the capabilities of health information systems to address emer...MEASURE Evaluation
 
LCI Evaluation Uganda Organizational Network Analysis
LCI Evaluation Uganda Organizational Network AnalysisLCI Evaluation Uganda Organizational Network Analysis
LCI Evaluation Uganda Organizational Network AnalysisMEASURE Evaluation
 
Using Organizational Network Analysis to Plan and Evaluate Global Health Prog...
Using Organizational Network Analysis to Plan and Evaluate Global Health Prog...Using Organizational Network Analysis to Plan and Evaluate Global Health Prog...
Using Organizational Network Analysis to Plan and Evaluate Global Health Prog...MEASURE Evaluation
 
Understanding Referral Networks for Adolescent Girls and Young Women
Understanding Referral Networks for Adolescent Girls and Young WomenUnderstanding Referral Networks for Adolescent Girls and Young Women
Understanding Referral Networks for Adolescent Girls and Young WomenMEASURE Evaluation
 
Data for Impact: Lessons Learned in Using the Ripple Effects Mapping Method
Data for Impact: Lessons Learned in Using the Ripple Effects Mapping MethodData for Impact: Lessons Learned in Using the Ripple Effects Mapping Method
Data for Impact: Lessons Learned in Using the Ripple Effects Mapping MethodMEASURE Evaluation
 
Local Capacity Initiative (LCI) Evaluation
Local Capacity Initiative (LCI) EvaluationLocal Capacity Initiative (LCI) Evaluation
Local Capacity Initiative (LCI) EvaluationMEASURE Evaluation
 
Development and Validation of a Reproductive Empowerment Scale
Development and Validation of a Reproductive Empowerment ScaleDevelopment and Validation of a Reproductive Empowerment Scale
Development and Validation of a Reproductive Empowerment ScaleMEASURE Evaluation
 
Sustaining the Impact: MEASURE Evaluation Conversation on Maternal and Child ...
Sustaining the Impact: MEASURE Evaluation Conversation on Maternal and Child ...Sustaining the Impact: MEASURE Evaluation Conversation on Maternal and Child ...
Sustaining the Impact: MEASURE Evaluation Conversation on Maternal and Child ...MEASURE Evaluation
 
Using Most Significant Change in a Mixed-Methods Evaluation in Uganda
Using Most Significant Change in a Mixed-Methods Evaluation in UgandaUsing Most Significant Change in a Mixed-Methods Evaluation in Uganda
Using Most Significant Change in a Mixed-Methods Evaluation in UgandaMEASURE Evaluation
 
Lessons Learned In Using the Most Significant Change Technique in Evaluation
Lessons Learned In Using the Most Significant Change Technique in EvaluationLessons Learned In Using the Most Significant Change Technique in Evaluation
Lessons Learned In Using the Most Significant Change Technique in EvaluationMEASURE Evaluation
 
Malaria Data Quality and Use in Selected Centers of Excellence in Madagascar:...
Malaria Data Quality and Use in Selected Centers of Excellence in Madagascar:...Malaria Data Quality and Use in Selected Centers of Excellence in Madagascar:...
Malaria Data Quality and Use in Selected Centers of Excellence in Madagascar:...MEASURE Evaluation
 
Evaluating National Malaria Programs’ Impact in Moderate- and Low-Transmissio...
Evaluating National Malaria Programs’ Impact in Moderate- and Low-Transmissio...Evaluating National Malaria Programs’ Impact in Moderate- and Low-Transmissio...
Evaluating National Malaria Programs’ Impact in Moderate- and Low-Transmissio...MEASURE Evaluation
 
Improved Performance of the Malaria Surveillance, Monitoring, and Evaluation ...
Improved Performance of the Malaria Surveillance, Monitoring, and Evaluation ...Improved Performance of the Malaria Surveillance, Monitoring, and Evaluation ...
Improved Performance of the Malaria Surveillance, Monitoring, and Evaluation ...MEASURE Evaluation
 
Lessons learned in using process tracing for evaluation
Lessons learned in using process tracing for evaluationLessons learned in using process tracing for evaluation
Lessons learned in using process tracing for evaluationMEASURE Evaluation
 
Use of Qualitative Comparative Analysis in the Assessment of the Actionable D...
Use of Qualitative Comparative Analysis in the Assessment of the Actionable D...Use of Qualitative Comparative Analysis in the Assessment of the Actionable D...
Use of Qualitative Comparative Analysis in the Assessment of the Actionable D...MEASURE Evaluation
 
Sustaining the Impact: MEASURE Evaluation Conversation on Health Informatics
Sustaining the Impact: MEASURE Evaluation Conversation on Health InformaticsSustaining the Impact: MEASURE Evaluation Conversation on Health Informatics
Sustaining the Impact: MEASURE Evaluation Conversation on Health InformaticsMEASURE Evaluation
 

More from MEASURE Evaluation (20)

Managing missing values in routinely reported data: One approach from the Dem...
Managing missing values in routinely reported data: One approach from the Dem...Managing missing values in routinely reported data: One approach from the Dem...
Managing missing values in routinely reported data: One approach from the Dem...
 
Use of Routine Data for Economic Evaluations
Use of Routine Data for Economic EvaluationsUse of Routine Data for Economic Evaluations
Use of Routine Data for Economic Evaluations
 
Routine data use in evaluation: practical guidance
Routine data use in evaluation: practical guidanceRoutine data use in evaluation: practical guidance
Routine data use in evaluation: practical guidance
 
Tuberculosis/HIV Mobility Study: Objectives and Background
Tuberculosis/HIV Mobility Study: Objectives and BackgroundTuberculosis/HIV Mobility Study: Objectives and Background
Tuberculosis/HIV Mobility Study: Objectives and Background
 
How to improve the capabilities of health information systems to address emer...
How to improve the capabilities of health information systems to address emer...How to improve the capabilities of health information systems to address emer...
How to improve the capabilities of health information systems to address emer...
 
LCI Evaluation Uganda Organizational Network Analysis
LCI Evaluation Uganda Organizational Network AnalysisLCI Evaluation Uganda Organizational Network Analysis
LCI Evaluation Uganda Organizational Network Analysis
 
Using Organizational Network Analysis to Plan and Evaluate Global Health Prog...
Using Organizational Network Analysis to Plan and Evaluate Global Health Prog...Using Organizational Network Analysis to Plan and Evaluate Global Health Prog...
Using Organizational Network Analysis to Plan and Evaluate Global Health Prog...
 
Understanding Referral Networks for Adolescent Girls and Young Women
Understanding Referral Networks for Adolescent Girls and Young WomenUnderstanding Referral Networks for Adolescent Girls and Young Women
Understanding Referral Networks for Adolescent Girls and Young Women
 
Data for Impact: Lessons Learned in Using the Ripple Effects Mapping Method
Data for Impact: Lessons Learned in Using the Ripple Effects Mapping MethodData for Impact: Lessons Learned in Using the Ripple Effects Mapping Method
Data for Impact: Lessons Learned in Using the Ripple Effects Mapping Method
 
Local Capacity Initiative (LCI) Evaluation
Local Capacity Initiative (LCI) EvaluationLocal Capacity Initiative (LCI) Evaluation
Local Capacity Initiative (LCI) Evaluation
 
Development and Validation of a Reproductive Empowerment Scale
Development and Validation of a Reproductive Empowerment ScaleDevelopment and Validation of a Reproductive Empowerment Scale
Development and Validation of a Reproductive Empowerment Scale
 
Sustaining the Impact: MEASURE Evaluation Conversation on Maternal and Child ...
Sustaining the Impact: MEASURE Evaluation Conversation on Maternal and Child ...Sustaining the Impact: MEASURE Evaluation Conversation on Maternal and Child ...
Sustaining the Impact: MEASURE Evaluation Conversation on Maternal and Child ...
 
Using Most Significant Change in a Mixed-Methods Evaluation in Uganda
Using Most Significant Change in a Mixed-Methods Evaluation in UgandaUsing Most Significant Change in a Mixed-Methods Evaluation in Uganda
Using Most Significant Change in a Mixed-Methods Evaluation in Uganda
 
Lessons Learned In Using the Most Significant Change Technique in Evaluation
Lessons Learned In Using the Most Significant Change Technique in EvaluationLessons Learned In Using the Most Significant Change Technique in Evaluation
Lessons Learned In Using the Most Significant Change Technique in Evaluation
 
Malaria Data Quality and Use in Selected Centers of Excellence in Madagascar:...
Malaria Data Quality and Use in Selected Centers of Excellence in Madagascar:...Malaria Data Quality and Use in Selected Centers of Excellence in Madagascar:...
Malaria Data Quality and Use in Selected Centers of Excellence in Madagascar:...
 
Evaluating National Malaria Programs’ Impact in Moderate- and Low-Transmissio...
Evaluating National Malaria Programs’ Impact in Moderate- and Low-Transmissio...Evaluating National Malaria Programs’ Impact in Moderate- and Low-Transmissio...
Evaluating National Malaria Programs’ Impact in Moderate- and Low-Transmissio...
 
Improved Performance of the Malaria Surveillance, Monitoring, and Evaluation ...
Improved Performance of the Malaria Surveillance, Monitoring, and Evaluation ...Improved Performance of the Malaria Surveillance, Monitoring, and Evaluation ...
Improved Performance of the Malaria Surveillance, Monitoring, and Evaluation ...
 
Lessons learned in using process tracing for evaluation
Lessons learned in using process tracing for evaluationLessons learned in using process tracing for evaluation
Lessons learned in using process tracing for evaluation
 
Use of Qualitative Comparative Analysis in the Assessment of the Actionable D...
Use of Qualitative Comparative Analysis in the Assessment of the Actionable D...Use of Qualitative Comparative Analysis in the Assessment of the Actionable D...
Use of Qualitative Comparative Analysis in the Assessment of the Actionable D...
 
Sustaining the Impact: MEASURE Evaluation Conversation on Health Informatics
Sustaining the Impact: MEASURE Evaluation Conversation on Health InformaticsSustaining the Impact: MEASURE Evaluation Conversation on Health Informatics
Sustaining the Impact: MEASURE Evaluation Conversation on Health Informatics
 

Recently uploaded

Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationKnoldus Inc.
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Nikki Chapple
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
React Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkReact Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkPixlogix Infotech
 
QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesBernd Ruecker
 
Microservices, Docker deploy and Microservices source code in C#
Microservices, Docker deploy and Microservices source code in C#Microservices, Docker deploy and Microservices source code in C#
Microservices, Docker deploy and Microservices source code in C#Karmanjay Verma
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024TopCSSGallery
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
A Glance At The Java Performance Toolbox
A Glance At The Java Performance ToolboxA Glance At The Java Performance Toolbox
A Glance At The Java Performance ToolboxAna-Maria Mihalceanu
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...BookNet Canada
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI AgeCprime
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...itnewsafrica
 

Recently uploaded (20)

Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog Presentation
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
React Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkReact Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App Framework
 
QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architectures
 
Microservices, Docker deploy and Microservices source code in C#
Microservices, Docker deploy and Microservices source code in C#Microservices, Docker deploy and Microservices source code in C#
Microservices, Docker deploy and Microservices source code in C#
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
A Glance At The Java Performance Toolbox
A Glance At The Java Performance ToolboxA Glance At The Java Performance Toolbox
A Glance At The Java Performance Toolbox
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI Age
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
 

Using Maps in Decision Making to Strengthen Programs for Orphans and Vulnerable Children

  • 1. Using maps in Decision-Making to Strengthen Programs for Orphans and Vulnerable Children Jen Curran MEASURE Evaluation September 2012
  • 2. • OVC Data Demand and Use Workshop, March 2012 • Challenges to mapping data related to OVC and OVC programs • Successes in mapping data related to OVC and OVC programs • Where do we go now? Future in mapping OVC related data.
  • 3. OVC Workshop in March  Three country teams; Ethiopia, Uganda & Tanzania  Participants were a mix of Ministry, USAID, IPs, and CBOs.  Goals were to help facilitate the broader use of data for evidence-based programming and to increase demand for an increase in data availability and quality.
  • 4. Types of decisions OVC programs need to make  Allocating resources to sub-partners *  Determining resource allocations for specific activities within the OVC program (health, nutrition, education, etc…) *  OVC program quality improvements  Determining location of OVC service delivery **  Determining unmet OVC needs *  OVC program expansion *  OVC program monitoring  Allocating resources to Ips * * Maps can be used to help make these decisions ** Maps are imperative for making these decisions
  • 5. Types of program data use/have  OVC Situational Analysis  National HIV Prevalence Data  OVC MIS  DHS/AIS/MIS  APR Reports  Impact Evaluations  National Strategic Plans  IP Quarterly Reports  OGAC Priority reports  Census data  COP Planning  Education statistics  Human Resources data  ILO statistics  LQAs & DQAs  Household expenditures data  Costed-plans of action  FEWS NET  Anecdotal information
  • 6. Mapping Orphans and Vulnerable Children Data CHALLENGES
  • 7. Challenges to Mapping OVC data Lots of different type of indicators
  • 8. Challenges to Mapping OVC data Data comes in from different sources and in different sizes and shapes:
  • 9. Challenges to Mapping OVC data: Lack of disaggregation
  • 10. Challenges to Mapping OVC data • Unclear geographic boundaries • Different names or spelling
  • 11. Challenges to Mapping OVC data Unlinkable datasets due to difference in regions.
  • 12. Challenges to Mapping OVC data Some of its proprietary and some people don’t like sharing… Source: http://www.ulsterbusiness.com/articles/2012/04/16/cim-ireland-data-protection-event
  • 13. Mapping Orphans and Vulnerable Children Data SUCCESSES
  • 14. Successes in mapping OVC data Linking data is easier due to standardized codes
  • 15. Successes in mapping OVC data: Here is where we are working…
  • 16. Successes in mapping OVC data Sources: NACC Prevalence Report, 2007 & PEPFAR KPMS
  • 17. Successes in mapping OVC data Source: https://www.globalhivmeinfo.org/DigitalLibrary/Digital%20Library/OVC%20Mapping %20Activity.pdf
  • 18. Successes in mapping OVC data: Showing Service Providers location and catchment areas
  • 19. Successes in mapping OVC data Showing Service Provider locations and catchment areas using transportation networks
  • 20. Successes in mapping OVC data We’ve created a deeper understanding of our data Source: MEASURE Evaluation
  • 21. Mapping Orphans and Vulnerable Children Data What’s next?
  • 22. Where can we go from here? Network analysis for understanding formal and informal relationships: •Referrals •Case Management •Continuum of Care •Strengthening the network Source: http://designmonitoringevaluation.blogspot.com/2010/03/network- analysis-visualization-of.html
  • 23. Where do we go from here OVC Mapping and Directory Project Children Services Directory: 1.Hard Copy 2.Websites of service providers 3.CD-ROM 4.SMS provider directory 5.Map providing services and contextual data Source: http://pdf.usaid.gov/pdf_docs/PNADS350.pdf
  • 24. Where can we go from here? Stronger Data Analysis: On the fly analysis of correlating variables
  • 25. Where can we go from here? Robust geographic analysis of our data
  • 26. Where can we go from here? Community/Social mapping Source: http://go.worldbank.org/6AV491AUX0
  • 27. Where can we go from here?  Crowdsourcing data  http://www.youtube.com/watch?feature=player_embe Source: http://www.frontlinesms.com/frontlinesms-in-action/video-audio/
  • 28. Where can we go from here? Source: https://smsconnectnamibia.crowdmap.com/?
  • 30. Where can we go from here?
  • 31. Where can we go from here?
  • 33. MEASURE Evaluation is funded by the U.S. Agency for International Development (USAID) and implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill in partnership with Futures Group International, ICF International, John Snow, Inc., Management Sciences for Health, and Tulane University. Views expressed in this presentation do not necessarily reflect the views of USAID or the U.S. government. MEASURE Evaluation is the USAID Global Health Bureau's primary vehicle for supporting improvements in monitoring and evaluation in population, health and nutrition worldwide.
  • 34.
  • 35. MEASURE Evaluation is funded by the U.S. Agency for International Development (USAID) and implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill in partnership with Futures Group International, ICF International, John Snow, Inc., Management Sciences for Health, and Tulane University. The views expressed in this presentation do not necessarily reflect the views of USAID or the United States government.

Editor's Notes

  1. So I’m going to talk about the following themes in this webinar. I know we have a wide variety of participants on this webinar so I am going to try to make it useful for everyone. First, I’ll briefly go over the OVC DDU workshop that was held in Zanzibar in March of this year. Then, I’m going to talk briefly about some of the main challenges in mapping OVC data; some that we discovered during the workshop, and others that are unique to OVC data and still others that are common to mapping all types of health data. Thirdly, I’ll go over some of the successes that the OVC community at large and GIS folks like me have been able to do successfully in many countries that have large OVC programs and portfolios; in general, these are things we are already doing in the OVC community. Lastly, Ill take a few minutes to show some of the newer ways that OVC data is being mapped and used at different levels.
  2. MEASURE Evaluation facilitated an OVC DDU workshop that was held in Zanzibar in March of this year. We invited three country teams to attend the workshop and asked that these teams consist of a mixture of participants from the Ministries (those that host the OVC portfolio), USAID, Implementing partners and community-based organizations. Two of the main goals of the workshop were to facilitate the broader use of data for OVC programs as well as to increase the demand for more and better data to inform these programs and services.
  3. Prior to the workshop, we did a series of semi-structured interviews to gather information on the types of decisions that these participants had to make at their respective levels, we asked them about data constraints, and we asked them about the types of OVC data that they use for decision-making. This slide shows some of the responses of the types of decisions that the participants need to make. I’ve asterisked some of the decisions that either can be partly helped by using maps, and those that are imperative to make using maps. In the workshop we went over how to interpret maps, we gave all of the country teams many maps of their data to look at and come up with answers, questions, and decisions.
  4. We also talked about the types of OVC program data that the participants use or have access to in their countries. Keep in mind that all countries do not have all of these types of data, but it is an aggregate list.
  5. Now, lets’ talk about some of the challenges we faced in the workshop and face daily when trying to map OVC data for making decisions.
  6. One of probably the most significant challenges to mapping data about children is that we often get a variety of data. Lots of contextual factors play a role in understanding vulnerabilities within households, communities, districts, regions and countries; we often are looking at health data (HIV status, nutrition), social indicators (basic needs, guardian status), economic indicators (HH consumption, wealth indices) and other types of data such as education, livelihoods etc… Getting all of that data in one place to use is sometimes a big challenge.
  7. Another major challenge we find is that the data that we get is coming from all over the place! We have assessments and data from the Ministries of Gender, Justice, Labor, Youth, Health, Education etc.. And then we have data coming in from USAID, data coming from Implementing partners, service providers, national surveys, special surveys… All of this data comes in different shapes and sizes. This creates a challenge of cleaning and formatting data so that it can be imported into a GIS and mapped.
  8. Sometimes we might find really awesome data, but it has no geographical disaggregation, or is not disaggregated to the level that you need., Therefore, it cannot be mapped unless you are mapping regional statistics.
  9. One of the most common challenges that we come across has to do with unclear, undefined, or confusing boundaries of regions or districts. Geographic Boundaries change often, boundaries are not clear or are disputed, regions are spelled differently, or different organizations use different regions to differentiate their programs. In this case we are showing some maps of Uganda. On the left side, this map is from the OVC MIS showing the number of CSOs providing services in each region. The map on the right is from the Uganda DHS report which shows different regions. Based upon this data, you would be unable to link these two datasets to map them together if you wanted to combine DHS data by region with CSO data by region.
  10. Another example, following on the previous slide, shows that there are often different groupings of regions, sometimes different areas are grouped together differently by different organizations. Sometimes some data is outdated and other data is newer and it is impossible to link these types of data together in a map.
  11. Another common challenge to mapping Orphans and Vulnerable Children data is that sometimes its proprietary and sometimes people don’t like to share.
  12. Now, lets’ talk about some of the successes we have had in the world of mapping OVC data.
  13. Due to the increased demand for mapping data, there has been a significant increase in the quality of data that is available. There are now standardized international data schema and structures that allow for better ability to map and link data. People and organizations are now more often collecting geographic identifiers in their data because they need to know where things are happening and want to be able to map and link data together.
  14. We are commonly making maps that show where service providers are located or where interventions are working as well as what types of services they are providing. This can not only help with planning and decision-making, also to eliminate overlaps and inefficiencies, or understanding unmet need.
  15. Here we have a map of Ethiopian DHS data, showing Estimated Number of Orphans as a % of Total under 18 population. Here we can see areas with a higher rate of orphanhood in Ethiopia. These types of maps we can make and we are making all the time.
  16. Here is another example of mapping vulnerabilites; here we are showing two indicators; % of children U5 below severely underweight, and % of children U5 not living with either biological parent. By mapping more than one indicator we can have a better context of the target population.
  17. In this map we are looking at a map of OVC service providers and catchment areas. The rings around the point (the service provider) indicate 10, 20 and 50 km buffers. We often use the buffer function to create catchment areas; often for a health facility we use 5 km. There are a lot of things to take into account such as roads, rivers, and other geographic elements that may prohibit this catchment area from being precise, but it’ s a quick and easy way to understand service provision.
  18. Here are the service providers and here are the catchment areas.
  19. Here we have a map from an activity that was done by MEASURE Evaluation mapping OVC data in Nigeria. Many different maps were produced, but this one in particular shows something surprising that we may not have thought about. Here the map is showing that were the percent of orphans per state were higher, poverty was actually lower. By linking different data sets and putting them together on a map we have a better understanding of our data and of our target population.
  20. Now, I’d like to introduce you to a few things that I think are kind of interesting and useful in the mapping world for use in decision-making and support for Orphans and Vulnerable Children programs.
  21. Network analysis is a useful tool for understanding relationships both formal and informal between different actors. Recently there has been a lot of buzz about social network analysis which takes individuals and uses quantitative methods to understand how people are connected. Here we are talking about organizational network analysis in which the actors are organizations. Understanding relationships, or the lack of relationships can be helpful for a variety of reasons; we can understand the where and how referrals for different services are being given, we can better understand and strengthen case management if we know what organization work together, which ones don’t and which ones should, ONA can also help us to strengthen the continuum of care for OVC services, and in knowing what the network looks like and how actors relate and work with one another, we can help to strengthen the network thereby increasing postive outcomes for OVC.
  22. The population council in conjunction with the South Africa Department of Social Development, HIV911/HIVAN, Westat and Trialogue contributed to this PEPFAR funding activity which includes a full directory of OVC service providers in South Africa. The OVC and Directory Project includes the directory in hard and soft copies, and SMS service in various South African languages in which one can SMS a request for a service provider in a specific area and they will get an SMS response, as well as an online interactive map which shows the location of the service providers as well as contextual data about each district in the country.
  23. We can do stronger and more data analysis with some software; this one is called Open GeoDA (and its free and open-source) in which you can create maps and do data analysis at the same time. Here we can see a map showing the age a first marriage were the darker colors are show a higher age at first marriage and the lighter colors indicate early marriage. The Scatter plot at the right shows two variables plotted against each other showing age at first marriage on the x-axis and % of HHs in the lowest wealth quintile on the y-axis. The scatter plot is showing that the older age at first marriage, the fewer HHs in that district in the lowest wealth quintile. This is useful to answer questions on the fly, like “why are there more orphans in these districts than in these districts”
  24. This is the same program and the same data; this software allows you to have all the windows that are open attached to the map. I’ve highlighted the districts in Bangladesh with the oldest average age a first marriages, you can see proablby only by the arrows, that the districts are highlighted on the scatterplot as well as in the table. This can help us understand the data behind our maps and make on the fly analysis of this data.
  25. This may not be a new technology, but it is a type of mapping that can be done to better understand vulnerabilities at a community level. I believe there are a few countries currently undertaking this activity. Not only does this get community members involved, help provide services better and more effectively, it can help create and enhance dialogue about vulnerable children, and it can also help communities feel more empowered to solve their problems with community led solutions. In community mapping, also called social mapping, participatory mapping, stakeholders within a community will get together to map the community including resources, service providers and vulnerable households.
  26. Crowdsourcing data is a somewhat new technology. For those not familiar with crowdsourcing data, what it means is involving the public to outsource a data collection task. Problems are generally presented to a non-defined, or defined public who provide solutions or data regarding the problem. There are many uses for crowdsourcing data; some of them that you may have heard of more recently have been to get real-time data about damages and injuries immediately after the earthquake in Haiti in 2010. Another more recent example of crowdsourcing data occurred during the “ arab spring ’ to gather photos, videos and reports about what was happening. This is a short video, about 2 minutes that shows how crowdsourcing data is being used for the prevention and response of violence against children.
  27. Here is another example of the crowdsourcing of OVC data using the same platforms as Plan in Benin for violence against children. Here we can see the crowdsourced reports that are mapped on to the Ushahidi platform (open-source software for crowdsourcing). Since this is a screen shot, you can only see the static map that I pulled up but I’ll show you what the rest of the platform looks like.
  28. Here what I’ve done is click on the list of coding options on the right hand side of the page and clicked on ‘urgent’ by zooming in you can see where these reports are coming from.
  29. In this particular slide, I’ve clicked on one report of a male double orphan in Emergency need of Food Assistance. You can see that this report is verified. So when the crowdsourced reports come in they need to be verfied and entered into the system. These ‘alarm’ reports are sent to the proper organization responsible for providing these services in this region. Also monthly these reports are complied and sent to the organizations for their programming and M&E.
  30. This slide is just showing the diagram of how the technology in namibia works. The form is brought up on the mobile phone and filled out, the SMS with the information is sent and received by Frontline SMS and saved in the server. Alarm and urgent responses are sent instantly to the constitutents. Reports are then automatically sent into the Ushahidi platform which is interactive online and searchable. Follow-up emails are sent to the messengers (who collected the data) to see if the OVC that were labeled ‘urgent’ have received their services. If the problems haven’t been solved then a second line of respondents are notified.