Led by Tara Nutley
The Data Demand and Use Training Materials increase the skills of M&E officers and health program staff to conduct data analysis, interpretation, presentation and use for health program improvement. Download Data Demand and Use Training Materials: https://www.cpc.unc.edu/measure/tools/data-demand-use/data-demand-and-use-training-resources
Webinar Recording: http://universityofnc.adobeconnect.com/p9rbiydyl2a/
Handwritten Text Recognition for manuscripts and early printed texts
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
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Refer to the conference call instructions in the upper right
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Send an email to leah.gordon@unc.edu
3. Tips for Participating in the
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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
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
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
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
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
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.
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.
Not reporting or disseminationREVIEWING & DISCUSSING
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.
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.
Availability is foundation but just because you built it doesn’t mean they will come
Global Health e-learning site CDC, JHU, Icf Macro,