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Data Demand & Use
     Training Materials
          Webinar Series #7
      Tuesday, February 28, 2012

Presenters: Tara Nutley & Molly Cannon,
Troubleshooting

 If you lose connectivity
    Re-enter the meeting room by clicking on the webinar link
     provided
 If you have trouble with audio
    Refer to the conference call instructions in the upper right
     hand corner
 Send an email to leah.gordon@unc.edu
Tips for Participating in the
Discussion
 To comment, raise your hand by clicking on the
       icon.
    Speak into your microphone (be sure it is enabled by clicking
     on the       icon at the top of the screen).
    Type questions in Q&A window located at the top of your
     screen.
    A recording of the webinar will be made available
     at www.measureevaluation.org/ddu
Agenda

•   Welcome - webinar tips
•   Brief overview of Data Demand and Use
•   Presentation of Training Materials
•   Field Application of Materials
•   Questions and Answers
•   Wrap up
Why improve data-informed
decision making?
    Pressing need to develop health
        policies, strategies, and
              interventions
“… without information, things are done
arbitrarily and one becomes unsure of
whether a policy or program will fail or
succeed. If we allow our policies to be guided
by empirical facts and data, there will be a
noticeable change in the impact of what we
do.”

                 National-level Policymaker, Nigeria
Definitions
 Data use – Using data in the decision making
  process
    monitor a program
    create or revise a program or strategic plan
    develop or revise a policy
    advocate for a policy or program
    allocate resources

 Data Demand - decision makers specify what kind of
  information they want & seek it out
Data-informed Decision Making Cycle
Improving Data-informed Decision
               Making

                            Data Users & Data Producers




Tool Application              Capacity Building                  Organizational Support




                   Monitoring & Evaluation System Improvements
Training Toolkits
DDU Training Toolkits

 Data Demand and Use Concepts and Tools
 Introduction to Basic Data Analysis and
  Interpretation for Health Programs
 Integrating Data Demand and Use into a
  Monitoring and Evaluation Training Course
 Using data to improve service delivery: A
  Training Tool Kit for Pre-service Nursing
  Education
DDU Training Toolkits

 Conducting High Impact Research
 E-Learning
   Data Demand and Use and Introduction to
    Concepts and Tools: An Online Course
   Data Use for Program Managers: An
    eLearning Course
Guiding Principles
 Bring data users & producers together
 Team approach
 Identify information needs
 Availability   use
 Identify & overcome barriers to data use
 Institutionalize data demand & use
 Assess & communicate successes
Toolkit Components

 Background reading
 Slides
 Fully elaborated speaker notes
 Facilitator guidance
 Exercises
 Adaptations
Data Demand and Use Concepts
and Tools
 Objective – To build capacity in data use concepts
  approaches and tools
 Audience - M&E staff, Program staff, Policy makers
 Topics – Using data to inform programs,
  determinants of data use, context of decision
  making, understanding data & information flow,
  providing feedback, linking data to action
 Length – 3 days
Introduction to Basic Data
Analysis and Interpretation for
Health Programs
 Objective – To provide an introduction to basic
  terminology, calculations, data presentation &
  interpretation
 Audience - M&E staff, Program staff
 Topics – Terminology, basic calculations, setting
  targets, calculating program coverage &
  retention, data presentation & interpretation
 Length – 2 days
Using Data to Improve Service
Delivery: Training for pre-service
nursing education
 Objective - To develop an understanding of and
  an appreciation for data use and M&E systems.
  To build skills in data use
 Audience – Nurses
 Topics – Introduction to DDU concepts and tools,
  role of the nurse in M&E and data use, data
  quality, basic analysis, linking data to action
 Length – 2 days
Integrating Data Demand and Use
into a Monitoring and Evaluation
Training Course
 Objective - To provide guidance and training
  materials for incorporating data demand and use
  concepts, approaches and tools into an existing
  M&E course
 Audience – M&E trainers
 Topics – DDU concepts & tools, basic analysis &
  interpretation, adaptation suggestions &
  examples
Conducting High Impact Research
 Objective - To provide guidance, strategies and job
  aids that can be used in the research process to
  facilitate the use of research results
 Audience – Researchers
 Topics – Identifying the program & policy
  continuum, developing a communication plan,
  involving stakeholders, formulating meaningful
  research questions, developing recommendations,
  data use action plans
 Length – 1 day
E-Learning
 Data Demand and Use and Introduction to
  Concepts and Tools
    http://www.cpc.unc.edu/measure/training/online-
     courses/certificate-courses/ddu/index.html/
    ?searchterm=data

 Data Use for Program Managers
   http://www.globalhealthlearning.org/login.cfm

 Audience: M&E staff, Program staff, Policy
  makers, providers
 Length – 2-3 hours
Accessing the Materials

 http://www.cpc.unc.edu/measure/
FIELD APPLICATION - NIGERIA
Integrating DDU into M&E
workshop/courses
 Agendas includes Data Demand and Use
  sessions at several points throughout the
  workshop
 Developing M&E courses that will include key
  DDU components throughout curriculum
 Developing a short-term M&E Diploma course
  that incorporates DDU throughout
ABU M&E Workshop Agenda
                                              PROGRAMME
                            Monday            Tuesday         Wednesday      Thursday         Friday            Saturday
                            13-2-13           14-2-12         15-2-12        16-2-12          17-2-12           18-2-12
           8:00 – 10:30am   Registration      M&E             Overview of    Data Quality:    Gender in         Progress
                            Opening           Frameworks      Indicators     Principles,      Health and        Report on
Week ONE                    Ceremony                                         basic concepts   M&E               M&E Plans
                                                                             and
                                                                             assessment
           10:30-11:00am                                               Tea break
           11:00am-         Overview of the   M&E             Group Work:    Decision         Data analysis     Application
           11:30am          Workshop          Frameworks      Indicators     Making and       and               of qualitative
           11:30am-1:00pm                     +Group Work                    Strategic        introduction to   Methods to
                            Introduction to   +Case Studies                  Information                        M&E
                                                                                              STATA
                            M&E: Concepts
                            and definitions
           1:00-2:00pm                                                 Lunch
           2:00-3:30pm      Developing an     M&E             Data         Evaluation         Data Analysis     Uses of
                            M&E plan          Frameworks      Sources and Designs             and               surveys and
                                              +Group Work     Tools                           Introduction to   sampling in
                                              +Case Studies                                   STATA             M&E
           3:30-4:00pm                                                 Tea break
           4:00-5:30pm      Introduction to   M&E             Uses of        Group Work:      Group work:       Social Night
                            Group             Frameworks      Surveillance   M&E plan         M&E plan          (8:00-
                            Work+’Manimal     +Group Work     Data in M&E                                       10:00pm)
                            s’                +Case Studies
           5:30-6:00 pm     Daily             Daily           Daily          Daily            Daily
                            evaluation        evaluation      evaluation     evaluation       evaluation
ABU M&E Workshop Agenda

                                                                  PROGRAMME
                            Monday             Tuesday              Wednesday           Thursday           Friday          Saturday
                            20-2-12            21-2-12              22-2-12             23-2-12            24-2-12         25-2-12
           8:00 – 10:30am   Leadership in      M&E of TB            Field Visit         Ethics in M&E      Group           Departure
                            M&E                Leprosy                                                     Presentations
                                                                                                           of M&E Plan +
Week TWO
                                                                                                           Feedback
           10:30-11:00am                                                          Tea break
           11:00am-1:00pm   M&E of HIV and     Data Demand          Field Visit          Communicating     Group work
                            AIDS programs      and Information                           and reporting     presentation
                                               Use                                       M& E findings
                                                                                                           Closing

           1:00-2:00pm                                                          Lunch
           2:00-3:30pm      M&E of             Data Demand          Feedback from    Group Work:
                            RH/PMTCT           and Information      Field Visit      M&E Plan
                            programs           Use
           3:30-4:00pm                                                     Evening Snack
           4:00-5:30pm      M&E of Malaria     Data Demand          Group Work –    Group Work:
                            Programs           and Information      M&E Plan        M&E Plan
                                               Use
           5:30 – 6:00 pm   Daily evaluation   Daily evaluation     Daily evaluation    Daily evaluation
Pre-Service Nurse Training

 Incorporating elements from the six modules into
  existing courses (e.g., public health
  nursing/research methods)
 Plans to pilot test an in-service workshop with
  nurses in Zaria, Nigeria
Overview of Modules/Activities
 Module           Topic                              Key Elements                         Small Group Activity

   1      Data demand & use         Role of data in improving service delivery         1. Case study review
          key concepts              Role of provider in M&E
                                    Data demand and use
                                    Determinants of decision making

   2      Data analysis key         Data analysis terminology and key concepts         None
          concepts                  Statistical terms

   3      Basic analyses            Calculating program coverage – utilization and     None
                                     availability of services
                                    Calculating program retention
   4      Data presentation &       Summarizing data                                   2. Calculating program
          interpretation            Appropriate formats for summarizing data           coverage and retention…
                                    Interpreting data                                  Data Analysis and
                                                                                        Presentation Job Aids
   5      Sharing data &            Barriers to data use                               None
          information               Information flow
                                    Information feedback
   6      Making data-informed      Using the Framework for Linking Data with Action   3. Linking decisions with
          decisions                                                                     data


Summary   Review of key themes      Key themes from Modules 1–6                        None
ABU Pre-Service
Module       Level      Course                  Content                                        Contact   Personnel                         Comments
                                                                                               hours
3&4          200        Biostatistics           Theoretical part of                                  6   Community Medicine                Review the course contents with
                                                Basic Analyses                                           Department                        Medicine Department.
                                                Data Presentation
1&2          300        Community Health        Data Demand                                         6    Nursing Department                It will be included in the course
                        Nursing                 Biophysical community profiles                           Lecturers assigned to teach the   specification
                                                                                                         courses                           The community based perspectives will
                                                                                                                                           be followed
1,2&3                   Research                Theoretical part of                                 6    Nursing Department                Research approach
                        Methodology 1           research Process                                         Lecturers assigned to teach the
                                                                                                         courses
4,5&6                   Research                Continue the Theoretical part of research           6    Nursing Department                Research approach
                400                             Process                                                                                    On going Approval
                        methodology 2                                                                    Lecturers assigned to teach the
                                                                                                         courses
All                     Seminars in             Research critique                                   6    Lecturers assigned to teach the   Free lectures according the community
modules                 Community Health                                                                 courses                           needs
                        Nursing
All                     Public Health           community needs & Application research              6    Supervisors                       Clinical implication through
modules                                         Process                                                                                    Project
All                     Public health project   Theme : community health                            8    Supervisors                       Clinical implication through
modules                                         Needs                                                                                      Project
All                     Midwifery project       Theme : nurse midwife role regarding the            8    Supervisors                       Clinical implication through
modules         500                             importance of data and applied the practical                                               Project
                                                part of decision making and
                                                recommendation

All                     Graduation project      Professional implication of all modules             8    Supervisors                       Clinical implication through
modules                                                                                                                                    Project


Total contact hours that will apply M& E                                                            60   It about 4 credit hours
High Impact Research

 Planning
   Presentation to NACA, NASCAP and other
    commissioners of research
   TOT with faculty from OAU and ABU to lead to
    one day symposium for faculty across
    departments
Questions and Answers
MEASURE Evaluation DDU Resources

 www.measureevaluation.org/ddu
   Data Demand and Use Tool Kits
   Data Demand and Use Training Resources
 Next webinar March 6, 2012 at 9:00 am on
  Strengthening an Organization’s Capacity to
  Demand and Use Data
Join Data Use Net
Send an email to listserv@unc.edu. Leave the
subject field blank and in the body of the message
type ‘subscribe DataUseNet.’ For example:
To: listserv@unc.edu
From: youremail@youremail.com
Subject:
Subscribe Data Use Net
Presenter Contact Information

 Tara Nutley - tnutley@futuresgroup.com
 Molly Cannon - mcannon@futuresgroup.com
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

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Data Demand and Use Training Materials

  • 1. Data Demand & Use Training Materials Webinar Series #7 Tuesday, February 28, 2012 Presenters: Tara Nutley & Molly Cannon,
  • 2. Troubleshooting  If you lose connectivity  Re-enter the meeting room by clicking on the webinar link provided  If you have trouble with audio  Refer to the conference call instructions in the upper right hand corner  Send an email to leah.gordon@unc.edu
  • 3. Tips for Participating in the Discussion  To comment, raise your hand by clicking on the icon.  Speak into your microphone (be sure it is enabled by clicking on the icon at the top of the screen).  Type questions in Q&A window located at the top of your screen.  A recording of the webinar will be made available at www.measureevaluation.org/ddu
  • 4. Agenda • Welcome - webinar tips • Brief overview of Data Demand and Use • Presentation of Training Materials • Field Application of Materials • Questions and Answers • Wrap up
  • 5. Why improve data-informed decision making? Pressing need to develop health policies, strategies, and interventions
  • 6. “… without information, things are done arbitrarily and one becomes unsure of whether a policy or program will fail or succeed. If we allow our policies to be guided by empirical facts and data, there will be a noticeable change in the impact of what we do.” National-level Policymaker, Nigeria
  • 7. Definitions  Data use – Using data in the decision making process  monitor a program  create or revise a program or strategic plan  develop or revise a policy  advocate for a policy or program  allocate resources  Data Demand - decision makers specify what kind of information they want & seek it out
  • 9. Improving Data-informed Decision Making Data Users & Data Producers Tool Application Capacity Building Organizational Support Monitoring & Evaluation System Improvements
  • 11. DDU Training Toolkits  Data Demand and Use Concepts and Tools  Introduction to Basic Data Analysis and Interpretation for Health Programs  Integrating Data Demand and Use into a Monitoring and Evaluation Training Course  Using data to improve service delivery: A Training Tool Kit for Pre-service Nursing Education
  • 12. DDU Training Toolkits  Conducting High Impact Research  E-Learning  Data Demand and Use and Introduction to Concepts and Tools: An Online Course  Data Use for Program Managers: An eLearning Course
  • 13. Guiding Principles  Bring data users & producers together  Team approach  Identify information needs  Availability use  Identify & overcome barriers to data use  Institutionalize data demand & use  Assess & communicate successes
  • 14. Toolkit Components  Background reading  Slides  Fully elaborated speaker notes  Facilitator guidance  Exercises  Adaptations
  • 15. Data Demand and Use Concepts and Tools  Objective – To build capacity in data use concepts approaches and tools  Audience - M&E staff, Program staff, Policy makers  Topics – Using data to inform programs, determinants of data use, context of decision making, understanding data & information flow, providing feedback, linking data to action  Length – 3 days
  • 16. Introduction to Basic Data Analysis and Interpretation for Health Programs  Objective – To provide an introduction to basic terminology, calculations, data presentation & interpretation  Audience - M&E staff, Program staff  Topics – Terminology, basic calculations, setting targets, calculating program coverage & retention, data presentation & interpretation  Length – 2 days
  • 17. Using Data to Improve Service Delivery: Training for pre-service nursing education  Objective - To develop an understanding of and an appreciation for data use and M&E systems. To build skills in data use  Audience – Nurses  Topics – Introduction to DDU concepts and tools, role of the nurse in M&E and data use, data quality, basic analysis, linking data to action  Length – 2 days
  • 18. Integrating Data Demand and Use into a Monitoring and Evaluation Training Course  Objective - To provide guidance and training materials for incorporating data demand and use concepts, approaches and tools into an existing M&E course  Audience – M&E trainers  Topics – DDU concepts & tools, basic analysis & interpretation, adaptation suggestions & examples
  • 19. Conducting High Impact Research  Objective - To provide guidance, strategies and job aids that can be used in the research process to facilitate the use of research results  Audience – Researchers  Topics – Identifying the program & policy continuum, developing a communication plan, involving stakeholders, formulating meaningful research questions, developing recommendations, data use action plans  Length – 1 day
  • 20. E-Learning  Data Demand and Use and Introduction to Concepts and Tools  http://www.cpc.unc.edu/measure/training/online- courses/certificate-courses/ddu/index.html/ ?searchterm=data  Data Use for Program Managers  http://www.globalhealthlearning.org/login.cfm  Audience: M&E staff, Program staff, Policy makers, providers  Length – 2-3 hours
  • 21. Accessing the Materials  http://www.cpc.unc.edu/measure/
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  • 27. Integrating DDU into M&E workshop/courses  Agendas includes Data Demand and Use sessions at several points throughout the workshop  Developing M&E courses that will include key DDU components throughout curriculum  Developing a short-term M&E Diploma course that incorporates DDU throughout
  • 28. ABU M&E Workshop Agenda PROGRAMME Monday Tuesday Wednesday Thursday Friday Saturday 13-2-13 14-2-12 15-2-12 16-2-12 17-2-12 18-2-12 8:00 – 10:30am Registration M&E Overview of Data Quality: Gender in Progress Opening Frameworks Indicators Principles, Health and Report on Week ONE Ceremony basic concepts M&E M&E Plans and assessment 10:30-11:00am Tea break 11:00am- Overview of the M&E Group Work: Decision Data analysis Application 11:30am Workshop Frameworks Indicators Making and and of qualitative 11:30am-1:00pm +Group Work Strategic introduction to Methods to Introduction to +Case Studies Information M&E STATA M&E: Concepts and definitions 1:00-2:00pm Lunch 2:00-3:30pm Developing an M&E Data Evaluation Data Analysis Uses of M&E plan Frameworks Sources and Designs and surveys and +Group Work Tools Introduction to sampling in +Case Studies STATA M&E 3:30-4:00pm Tea break 4:00-5:30pm Introduction to M&E Uses of Group Work: Group work: Social Night Group Frameworks Surveillance M&E plan M&E plan (8:00- Work+’Manimal +Group Work Data in M&E 10:00pm) s’ +Case Studies 5:30-6:00 pm Daily Daily Daily Daily Daily evaluation evaluation evaluation evaluation evaluation
  • 29. ABU M&E Workshop Agenda PROGRAMME Monday Tuesday Wednesday Thursday Friday Saturday 20-2-12 21-2-12 22-2-12 23-2-12 24-2-12 25-2-12 8:00 – 10:30am Leadership in M&E of TB Field Visit Ethics in M&E Group Departure M&E Leprosy Presentations of M&E Plan + Week TWO Feedback 10:30-11:00am Tea break 11:00am-1:00pm M&E of HIV and Data Demand Field Visit Communicating Group work AIDS programs and Information and reporting presentation Use M& E findings Closing 1:00-2:00pm Lunch 2:00-3:30pm M&E of Data Demand Feedback from Group Work: RH/PMTCT and Information Field Visit M&E Plan programs Use 3:30-4:00pm Evening Snack 4:00-5:30pm M&E of Malaria Data Demand Group Work – Group Work: Programs and Information M&E Plan M&E Plan Use 5:30 – 6:00 pm Daily evaluation Daily evaluation Daily evaluation Daily evaluation
  • 30. Pre-Service Nurse Training  Incorporating elements from the six modules into existing courses (e.g., public health nursing/research methods)  Plans to pilot test an in-service workshop with nurses in Zaria, Nigeria
  • 31. Overview of Modules/Activities Module Topic Key Elements Small Group Activity 1 Data demand & use  Role of data in improving service delivery 1. Case study review key concepts  Role of provider in M&E  Data demand and use  Determinants of decision making 2 Data analysis key  Data analysis terminology and key concepts None concepts  Statistical terms 3 Basic analyses  Calculating program coverage – utilization and None availability of services  Calculating program retention 4 Data presentation &  Summarizing data 2. Calculating program interpretation  Appropriate formats for summarizing data coverage and retention…  Interpreting data Data Analysis and Presentation Job Aids 5 Sharing data &  Barriers to data use None information  Information flow  Information feedback 6 Making data-informed  Using the Framework for Linking Data with Action 3. Linking decisions with decisions data Summary Review of key themes  Key themes from Modules 1–6 None
  • 32. ABU Pre-Service Module Level Course Content Contact Personnel Comments hours 3&4 200 Biostatistics Theoretical part of 6 Community Medicine Review the course contents with Basic Analyses Department Medicine Department. Data Presentation 1&2 300 Community Health Data Demand 6 Nursing Department It will be included in the course Nursing Biophysical community profiles Lecturers assigned to teach the specification courses The community based perspectives will be followed 1,2&3 Research Theoretical part of 6 Nursing Department Research approach Methodology 1 research Process Lecturers assigned to teach the courses 4,5&6 Research Continue the Theoretical part of research 6 Nursing Department Research approach 400 Process On going Approval methodology 2 Lecturers assigned to teach the courses All Seminars in Research critique 6 Lecturers assigned to teach the Free lectures according the community modules Community Health courses needs Nursing All Public Health community needs & Application research 6 Supervisors Clinical implication through modules Process Project All Public health project Theme : community health 8 Supervisors Clinical implication through modules Needs Project All Midwifery project Theme : nurse midwife role regarding the 8 Supervisors Clinical implication through modules 500 importance of data and applied the practical Project part of decision making and recommendation All Graduation project Professional implication of all modules 8 Supervisors Clinical implication through modules Project Total contact hours that will apply M& E 60 It about 4 credit hours
  • 33. High Impact Research  Planning  Presentation to NACA, NASCAP and other commissioners of research  TOT with faculty from OAU and ABU to lead to one day symposium for faculty across departments
  • 35. MEASURE Evaluation DDU Resources  www.measureevaluation.org/ddu  Data Demand and Use Tool Kits  Data Demand and Use Training Resources  Next webinar March 6, 2012 at 9:00 am on Strengthening an Organization’s Capacity to Demand and Use Data
  • 36. Join Data Use Net Send an email to listserv@unc.edu. Leave the subject field blank and in the body of the message type ‘subscribe DataUseNet.’ For example: To: listserv@unc.edu From: youremail@youremail.com Subject: Subscribe Data Use Net
  • 37. Presenter Contact Information  Tara Nutley - tnutley@futuresgroup.com  Molly Cannon - mcannon@futuresgroup.com
  • 38. 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

Notas do Editor

  1. We are all aware of the challenges involved in providing quality health services in the contexts where we work. In many countries health programs are facing a high disease burden, a growing population, inadequate numbers and poor distribution of qualified health workers, and inadequate health systems to support the distribution of services. It is in this situation that it becomes extremely important for to make the best use of their limited resources. The need to develop strategies, policies, and interventions that are based on quality data and information is urgent.
  2. The importance of data-informed decision making is expressed on this slide by a national-level policymaker in Nigeria who participated in a data use assessment conducted by MEASURE Evaluation. The assessment involved interviews with a range of professionals at the national, regional, and facility levels. The policymaker interviewed, stated… (READ SLIDE)“… without information, things are done arbitrarily and one becomes unsure of whether a policy or program will fail or succeed. If we allow our policies to be guided by empirical facts and data, there will be a noticeable change in the impact of what we do.” This statement nicely summarizes why we are here today to discuss the importance of improving data-informed decision making.
  3. Not reporting or disseminationREVIEWING & DISCUSSING
  4. When we talk about improving the use of and demand for data in decision making we talk about it as a cycle – not a one-time event. The idea of a cycle of evidence-based decision making is the framework on the slide. It starts with basic M&E systems and the collection of information – including ensuring that the information is available and in a format that is easily understood by relevant stakeholders so that the information can be interpreted and used to improve policies and programs. The cycle supports the assumption that the more positive experiences a decision maker has in using information to support a decision, the stronger the commitment will be to improving data collection systems and continuing to use the information they generate. This leads to repeated data use. You will note that this cycle is supported by coordination and collaboration. This coordination is among data users and data producers as well as between management systems and other organizational supports that facilitate and support data informed decision making.  Lastly, the cycle is supported by improving capacity to ensure that individuals are equipped with the skills to collect and use data. All of these supports are critical to ensure that the cycle continues functioning to create a culture of data use. Yet, we all know that cycles that rely on multiple inputs, activities and systems to function effectively – often don’t. In the best designed M&E systems you often find lackluster data use. Data is not being used as often as it should be.
  5. How do we improve DDU?Firstly, build upon a commitment and ongoing efforts to improve M&E and information systems – this is the foundation of all data use improvement interventions.Identify and engaging data users and data producers is also critical. By data users we are referring to those whose primary function is to manage data systems and by data users we are referring to those whose primary function is to use data to monitor and improve health service delivery. These two groups don’t always work closely together. For data use to function as we saw on the previous slide, regular collaboration between these two groups is critical. It is also important to apply tools, build capacity and strengthen organizational systems to support data informed decision making. In this webinar series we will be discussing tool application (the pink box) and the types of tools MEASURE Evaluation has developed to facilitate DDU. The last webinar session of this series will address capacity building and at a later date we will offer a webinar on strengthening organizational supports to improve data demand and sue. The combination of tool application, capacity building and strengthening organizations are all complimentary and necessary elements of any strategy to improve the use of data in decision making.
  6. Availability is foundation but just because you built it doesn’t mean they will come
  7. Global Health e-learning site CDC, JHU, Icf Macro,