SlideShare une entreprise Scribd logo
1  sur  20
Using M&E Data to guide Policy formulation,  programme planning and improvement   Kola Oyediran and Samson Bamidele MEASURE Evaluation John Snow Incorporated
Presentation Outline ,[object Object],[object Object],[object Object],[object Object],[object Object]
Purposes of monitoring and evaluation ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
There are no enemies in M&E ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],We can use information to…
Using NNRIMS data to inform resource allocation ,[object Object],[object Object],[object Object]
Strategy for Strengthen sub-national M&E system ,[object Object],[object Object],[object Object]
What Determines Data Demand and Information Use? POLITICS CULTURE SOCIETY Decision making occurs within political, cultural, and social contexts * Based on PRISM analytical framework (LaFond, Fields et al. 2005 The PRISM: An Analytical Framework for  Understanding Performance of Health Information Systems in Developing Countries. MEASURE Evaluation). SYSTEMS APPROACH TECHNICAL APPROACH INDIVIDUAL BEHAVIOR
Data are often underutilized because of… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],* Based on PRISM analytical framework (LaFond, Fields et al. 2005 The PRISM: An Analytical Framework for  Understanding Performance of Health Information Systems in Developing Countries. MEASURE Evaluation).
Data are often underutilized because of… ,[object Object],[object Object],[object Object],[object Object],* Based on PRISM analytical framework (LaFond, Fields et al. 2005 The PRISM: An Analytical Framework for  Understanding Performance of Health Information Systems in Developing Countries. MEASURE Evaluation).
How to ensure that information is being used to make inform decisions? ,[object Object],[object Object],[object Object],[object Object]
Barriers …. To data use ,[object Object],[object Object]
Decisions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
Factors other than evidence-based information influence decisions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What do they need to know? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
In order to make information useful, we need: ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],Key Messages
THANK YOU! Visit us online at http://www.cpc.unc.edu/measure MEASURE Evaluation is funded by the U.S. Agency for  International Development (USAID) through Cooperative  Agreement GHA-A-00-08-00003-00 and is  implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership With Futures Group International, John Snow, Inc., Macro  International 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.

Contenu connexe

Tendances

Big data analytics, research report
Big data analytics, research reportBig data analytics, research report
Big data analytics, research report
JULIO GONZALEZ SANZ
 
Stata Training_EEA.ppt
Stata Training_EEA.pptStata Training_EEA.ppt
Stata Training_EEA.ppt
selam49
 

Tendances (20)

Missing Data and data imputation techniques
Missing Data and data imputation techniquesMissing Data and data imputation techniques
Missing Data and data imputation techniques
 
Multinomial Logistic Regression
Multinomial Logistic RegressionMultinomial Logistic Regression
Multinomial Logistic Regression
 
Data collection.pdf
Data collection.pdfData collection.pdf
Data collection.pdf
 
Data Analysis and Statistics
Data Analysis and StatisticsData Analysis and Statistics
Data Analysis and Statistics
 
Role of Data Quality Assessment in a Project
Role of Data Quality Assessment in a ProjectRole of Data Quality Assessment in a Project
Role of Data Quality Assessment in a Project
 
Introduction to Data Management
Introduction to Data ManagementIntroduction to Data Management
Introduction to Data Management
 
Data Management
Data Management Data Management
Data Management
 
Data Visualization
Data VisualizationData Visualization
Data Visualization
 
Mixed Methods Designs
Mixed Methods DesignsMixed Methods Designs
Mixed Methods Designs
 
Data Quality
Data QualityData Quality
Data Quality
 
Data Demand and Use Training Materials
Data Demand and Use Training MaterialsData Demand and Use Training Materials
Data Demand and Use Training Materials
 
Approaching Data Quality
Approaching Data QualityApproaching Data Quality
Approaching Data Quality
 
Data Visualization in Exploratory Data Analysis
Data Visualization in Exploratory Data AnalysisData Visualization in Exploratory Data Analysis
Data Visualization in Exploratory Data Analysis
 
Data Visualization for Decision Making in HIV Programs
Data Visualization for Decision Making in HIV ProgramsData Visualization for Decision Making in HIV Programs
Data Visualization for Decision Making in HIV Programs
 
Slideshare Presentation of Qualitative Data
Slideshare   Presentation of Qualitative DataSlideshare   Presentation of Qualitative Data
Slideshare Presentation of Qualitative Data
 
Mixed research-methods (1)
Mixed research-methods (1)Mixed research-methods (1)
Mixed research-methods (1)
 
Big data analytics, research report
Big data analytics, research reportBig data analytics, research report
Big data analytics, research report
 
Data collection and analysis
Data collection and analysisData collection and analysis
Data collection and analysis
 
Introduction to data analysis using excel
Introduction to data analysis using excelIntroduction to data analysis using excel
Introduction to data analysis using excel
 
Stata Training_EEA.ppt
Stata Training_EEA.pptStata Training_EEA.ppt
Stata Training_EEA.ppt
 

En vedette

3.3.3.4 lab using wireshark to view network traffic
3.3.3.4 lab   using wireshark to view network traffic3.3.3.4 lab   using wireshark to view network traffic
3.3.3.4 lab using wireshark to view network traffic
Aransues
 
Clothing of france
Clothing of franceClothing of france
Clothing of france
mondepluriel
 
Role Of IT In Strategic management
Role Of IT In Strategic managementRole Of IT In Strategic management
Role Of IT In Strategic management
Sri Ram
 
Export credit insurance project
Export credit insurance projectExport credit insurance project
Export credit insurance project
Dharmik
 
Top 7 warehouse manager interview questions answers
Top 7 warehouse manager interview questions answersTop 7 warehouse manager interview questions answers
Top 7 warehouse manager interview questions answers
Toppilotinterview
 
Laparoscopy instruments
Laparoscopy instrumentsLaparoscopy instruments
Laparoscopy instruments
abestinst
 
Operational Transformation in Banking Operations
Operational Transformation in Banking OperationsOperational Transformation in Banking Operations
Operational Transformation in Banking Operations
Rajeev De Roy
 

En vedette (20)

3.3.3.4 lab using wireshark to view network traffic
3.3.3.4 lab   using wireshark to view network traffic3.3.3.4 lab   using wireshark to view network traffic
3.3.3.4 lab using wireshark to view network traffic
 
30 Law Practice Management Tips
30 Law Practice Management Tips30 Law Practice Management Tips
30 Law Practice Management Tips
 
Leveraging Hadoop in your PostgreSQL Environment
Leveraging Hadoop in your PostgreSQL EnvironmentLeveraging Hadoop in your PostgreSQL Environment
Leveraging Hadoop in your PostgreSQL Environment
 
Telephone Etiquette
Telephone EtiquetteTelephone Etiquette
Telephone Etiquette
 
Understanding the content lifecycle
Understanding the content lifecycleUnderstanding the content lifecycle
Understanding the content lifecycle
 
Thermo mechanical analysis
Thermo mechanical analysisThermo mechanical analysis
Thermo mechanical analysis
 
Clothing of france
Clothing of franceClothing of france
Clothing of france
 
Customer segmentation for a mobile telecommunications company based on servic...
Customer segmentation for a mobile telecommunications company based on servic...Customer segmentation for a mobile telecommunications company based on servic...
Customer segmentation for a mobile telecommunications company based on servic...
 
Pharma Edetailing: the core to a new commercial approach
 Pharma Edetailing: the core to a new commercial approach Pharma Edetailing: the core to a new commercial approach
Pharma Edetailing: the core to a new commercial approach
 
Stress among elderly
Stress among elderlyStress among elderly
Stress among elderly
 
TARGET CORP MARKETING STRATEGY
TARGET CORP MARKETING STRATEGY TARGET CORP MARKETING STRATEGY
TARGET CORP MARKETING STRATEGY
 
Free 350 performance review phrases
Free 350 performance review phrasesFree 350 performance review phrases
Free 350 performance review phrases
 
Role Of IT In Strategic management
Role Of IT In Strategic managementRole Of IT In Strategic management
Role Of IT In Strategic management
 
Export credit insurance project
Export credit insurance projectExport credit insurance project
Export credit insurance project
 
Top 7 warehouse manager interview questions answers
Top 7 warehouse manager interview questions answersTop 7 warehouse manager interview questions answers
Top 7 warehouse manager interview questions answers
 
Disaster Recovery using AWS -Architecture blueprints
Disaster Recovery using AWS -Architecture blueprintsDisaster Recovery using AWS -Architecture blueprints
Disaster Recovery using AWS -Architecture blueprints
 
Marketing of Financial Products and Services
Marketing of Financial Products and Services Marketing of Financial Products and Services
Marketing of Financial Products and Services
 
Test cases for testing mobile phone
Test cases for testing mobile phoneTest cases for testing mobile phone
Test cases for testing mobile phone
 
Laparoscopy instruments
Laparoscopy instrumentsLaparoscopy instruments
Laparoscopy instruments
 
Operational Transformation in Banking Operations
Operational Transformation in Banking OperationsOperational Transformation in Banking Operations
Operational Transformation in Banking Operations
 

Similaire à Data utilization presentation conference 2010

Using Goals To Assist In Strategic Planning Jan 09 V4
Using Goals To Assist In Strategic Planning Jan 09 V4Using Goals To Assist In Strategic Planning Jan 09 V4
Using Goals To Assist In Strategic Planning Jan 09 V4
MEASURE Evaluation
 
Opening Presentation Tara Why Now Final
Opening Presentation Tara Why Now FinalOpening Presentation Tara Why Now Final
Opening Presentation Tara Why Now Final
MEASURE Evaluation
 
Shap webinar 1 20 2011 lukanen
Shap webinar 1 20 2011 lukanenShap webinar 1 20 2011 lukanen
Shap webinar 1 20 2011 lukanen
soder145
 

Similaire à Data utilization presentation conference 2010 (20)

Stakeholder Engagement
Stakeholder EngagementStakeholder Engagement
Stakeholder Engagement
 
me-introduction-may-2.ppt
me-introduction-may-2.pptme-introduction-may-2.ppt
me-introduction-may-2.ppt
 
Using Goals To Assist In Strategic Planning Jan 09 V4
Using Goals To Assist In Strategic Planning Jan 09 V4Using Goals To Assist In Strategic Planning Jan 09 V4
Using Goals To Assist In Strategic Planning Jan 09 V4
 
Data Science and Application in Public Policy.pdf
Data Science and Application in Public Policy.pdfData Science and Application in Public Policy.pdf
Data Science and Application in Public Policy.pdf
 
Opening Presentation Tara Why Now Final
Opening Presentation Tara Why Now FinalOpening Presentation Tara Why Now Final
Opening Presentation Tara Why Now Final
 
Promoting Methods for Using HIV/AIDS and Health Information for Decision Making
Promoting Methods for Using HIV/AIDS and Health Information for Decision MakingPromoting Methods for Using HIV/AIDS and Health Information for Decision Making
Promoting Methods for Using HIV/AIDS and Health Information for Decision Making
 
Ta5.10 schmidt.integrating human rights with collection and dissmemination st...
Ta5.10 schmidt.integrating human rights with collection and dissmemination st...Ta5.10 schmidt.integrating human rights with collection and dissmemination st...
Ta5.10 schmidt.integrating human rights with collection and dissmemination st...
 
session-3-context-of-decision-making.ppt
session-3-context-of-decision-making.pptsession-3-context-of-decision-making.ppt
session-3-context-of-decision-making.ppt
 
context-of-decision-making.ppt
context-of-decision-making.pptcontext-of-decision-making.ppt
context-of-decision-making.ppt
 
Monitoring and Evaluation at the Community Level : A Strategic Review of ME...
Monitoring and Evaluation at the Community Level: A Strategic Review of ME...Monitoring and Evaluation at the Community Level: A Strategic Review of ME...
Monitoring and Evaluation at the Community Level : A Strategic Review of ME...
 
Shap webinar 1 20 2011 lukanen
Shap webinar 1 20 2011 lukanenShap webinar 1 20 2011 lukanen
Shap webinar 1 20 2011 lukanen
 
Where Are We Now
Where Are We NowWhere Are We Now
Where Are We Now
 
Jennifer Rayner - 2015 CACHC Conference Presentation
Jennifer Rayner - 2015 CACHC Conference PresentationJennifer Rayner - 2015 CACHC Conference Presentation
Jennifer Rayner - 2015 CACHC Conference Presentation
 
Part I-Achieving Universal Health Coverage: The Role of Routine Health Inform...
Part I-Achieving Universal Health Coverage: The Role of Routine Health Inform...Part I-Achieving Universal Health Coverage: The Role of Routine Health Inform...
Part I-Achieving Universal Health Coverage: The Role of Routine Health Inform...
 
Information Use Map
Information Use MapInformation Use Map
Information Use Map
 
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
 
Conducting High Impact Research: Building data ownership and improving data use
Conducting High Impact Research: Building data ownership and improving data useConducting High Impact Research: Building data ownership and improving data use
Conducting High Impact Research: Building data ownership and improving data use
 
Building Capacity for District and Facility Sharing and Use of HIV/AIDS and H...
Building Capacity for District and Facility Sharing and Use of HIV/AIDS and H...Building Capacity for District and Facility Sharing and Use of HIV/AIDS and H...
Building Capacity for District and Facility Sharing and Use of HIV/AIDS and H...
 
CCIH-2017-Monitoring-and-Evaluation-Preconference-Module-2
CCIH-2017-Monitoring-and-Evaluation-Preconference-Module-2CCIH-2017-Monitoring-and-Evaluation-Preconference-Module-2
CCIH-2017-Monitoring-and-Evaluation-Preconference-Module-2
 
HIS Strategy in Kenya
HIS Strategy in KenyaHIS Strategy in Kenya
HIS Strategy in Kenya
 

Plus de MEASURE 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
 

Plus de 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
 

Data utilization presentation conference 2010

  • 1. Using M&E Data to guide Policy formulation, programme planning and improvement Kola Oyediran and Samson Bamidele MEASURE Evaluation John Snow Incorporated
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. What Determines Data Demand and Information Use? POLITICS CULTURE SOCIETY Decision making occurs within political, cultural, and social contexts * Based on PRISM analytical framework (LaFond, Fields et al. 2005 The PRISM: An Analytical Framework for Understanding Performance of Health Information Systems in Developing Countries. MEASURE Evaluation). SYSTEMS APPROACH TECHNICAL APPROACH INDIVIDUAL BEHAVIOR
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20. THANK YOU! Visit us online at http://www.cpc.unc.edu/measure MEASURE Evaluation is funded by the U.S. Agency for International Development (USAID) through Cooperative Agreement GHA-A-00-08-00003-00 and is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership With Futures Group International, John Snow, Inc., Macro International 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.

Notes de l'éditeur

  1. Stress that the purpose of M&E is to inform ACTION. So, use of M&E information at the program level is inherent in its purpose. M&E is an essential process in providing effective and efficient services and ensuring that programs are relevant and successful. For example, it helps us make informed decisions about such questions as appropriate staffing and other necessary resources. M&E helps us know whether a program is being true to its stated goals and objectives. For instance, …. M&E helps us evaluate whether our programs are having their desired impact. If we want to know how a program is performing we might assess it against targets that have been set for specific indicators by the program or funding agency or government. For instance, we might assess if a breastfeeding program is reaching its goals in providing counseling to pregnant women during ANC and by the percentage of children under six months who are exclusively breastfed. However, for M&E to have this desired impact, M&E data and information must be used strategically by programs, service delivery organizations, policymakers and other stakeholders.
  2. Evidence based decisions lead to better health outcomes. The use of data helps to design and manage health programs, and results in better health outcomes.
  3. Something that can be seen all over the globe in programs and business is that oftentimes people see M&E as policing or as a process meant to criticize and undermine their work. In other situations, an M&E unit is only established for the purpose of reporting… Policymakers, program managers and M&E specialists can be partners in progress – designing new programs, making improvements to plans and programs, policymaking, and at the facility level – identifying gaps and opportunities.
  4. Data demand and utilization are central to achieving evidence-based decision making. We need to consider three aspects of demand for information – not only the quality of the information (technical approach), but also the individuals who use or should use the information, and the health or organizational systems within which they operate. This is called the PRISM framework. This approach to Data Demand and Use is best illustrated by the strategic triangle linking Technical, Individual Behavior, and System. Sustainable demand for high quality health information is most likely to result from a strategy that simultaneously focuses on three fronts - improving technical quality of data and data tools, building individual capacity for understanding and using data, and strengthening the organizational context in support of data collection and use. This strategy should be pursued with a clear appreciation of the importance of understanding the political, cultural, and social context of decision making. In the slides that follow, we will fold individual behavior into systems and consider two ways of initiating the discussion – through the systems in which decisions are made, or through the information which is used or needed. These approaches are not mutually exclusive, but meet up in the middle. However, they do represent different ways of approaching the result of increased user demand.
  5. Ask participants to brainstorm some types of decisions that fit into these categories
  6. Ask participants to brainstorm some types of decisions that fit into these categories
  7. This slide leads nicely into the Decision Calendar
  8. It is important to note that there are many other legitimate factors that influence decision-making outside of evidence-based data and information.
  9. Understanding how programs work and the reporting systems of the organizations reporting data, can help you to establish effective and useful feedback to reporters and other stakeholders at the community, district and regional levels. It is a two-way process. By understanding the intended audiences and what is important to them and their programs, ensuring that people are seeing the value in their reporting of data, will also help to ensure on-time reporting, as well as better quality data. - Also, considering the triangle that I showed earlier, we need to engage stakeholders to discuss what deicsions they make and what information they may find helpful. Training and supervision to support reporting and documentation is very important – including quality feedback to lower levels. Finally, a common understanding among those who deliver services and report on them, those who analyze the data and those who need the information