Data Demand and Use Training Materials

2,505 views

Published on

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/

Published in: Technology, Education
0 Comments
5 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
2,505
On SlideShare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
17
Comments
0
Likes
5
Embeds 0
No embeds

No notes for slide
  • 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,
  • Data Demand and Use Training Materials

    1. 1. Data Demand & Use Training Materials Webinar Series #7 Tuesday, February 28, 2012Presenters: Tara Nutley & Molly Cannon,
    2. 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. 3. Tips for Participating in theDiscussion 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. 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. 5. Why improve data-informeddecision making? Pressing need to develop health policies, strategies, and interventions
    6. 6. “… without information, things are donearbitrarily and one becomes unsure ofwhether a policy or program will fail orsucceed. If we allow our policies to be guidedby empirical facts and data, there will be anoticeable change in the impact of what wedo.” National-level Policymaker, Nigeria
    7. 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
    8. 8. Data-informed Decision Making Cycle
    9. 9. Improving Data-informed Decision Making Data Users & Data ProducersTool Application Capacity Building Organizational Support Monitoring & Evaluation System Improvements
    10. 10. Training Toolkits
    11. 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. 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. 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. 14. Toolkit Components Background reading Slides Fully elaborated speaker notes Facilitator guidance Exercises Adaptations
    15. 15. Data Demand and Use Conceptsand 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. 16. Introduction to Basic DataAnalysis and Interpretation forHealth 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. 17. Using Data to Improve ServiceDelivery: Training for pre-servicenursing 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. 18. Integrating Data Demand and Useinto a Monitoring and EvaluationTraining 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. 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. 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. 21. Accessing the Materials http://www.cpc.unc.edu/measure/
    22. 22. FIELD APPLICATION - NIGERIA
    23. 23. Integrating DDU into M&Eworkshop/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
    24. 24. 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 onWeek 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
    25. 25. 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
    26. 26. 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
    27. 27. 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 dataSummary Review of key themes  Key themes from Modules 1–6 None
    28. 28. ABU Pre-ServiceModule Level Course Content Contact Personnel Comments hours3&4 200 Biostatistics Theoretical part of 6 Community Medicine Review the course contents with Basic Analyses Department Medicine Department. Data Presentation1&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 followed1,2&3 Research Theoretical part of 6 Nursing Department Research approach Methodology 1 research Process Lecturers assigned to teach the courses4,5&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 coursesAll Seminars in Research critique 6 Lecturers assigned to teach the Free lectures according the communitymodules Community Health courses needs NursingAll Public Health community needs & Application research 6 Supervisors Clinical implication throughmodules Process ProjectAll Public health project Theme : community health 8 Supervisors Clinical implication throughmodules Needs ProjectAll Midwifery project Theme : nurse midwife role regarding the 8 Supervisors Clinical implication throughmodules 500 importance of data and applied the practical Project part of decision making and recommendationAll Graduation project Professional implication of all modules 8 Supervisors Clinical implication throughmodules ProjectTotal contact hours that will apply M& E 60 It about 4 credit hours
    29. 29. 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
    30. 30. Questions and Answers
    31. 31. 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
    32. 32. Join Data Use NetSend an email to listserv@unc.edu. Leave thesubject field blank and in the body of the messagetype ‘subscribe DataUseNet.’ For example:To: listserv@unc.eduFrom: youremail@youremail.comSubject:Subscribe Data Use Net
    33. 33. Presenter Contact Information Tara Nutley - tnutley@futuresgroup.com Molly Cannon - mcannon@futuresgroup.com
    34. 34. MEASURE Evaluation is funded by the U.S. Agency forInternational Development (USAID) and implemented by theCarolina Population Center at the University of North Carolinaat Chapel Hill in partnership with Futures Group International,ICF International, John Snow, Inc., Management Sciences forHealth, and Tulane University. Views expressed in thispresentation do not necessarily reflect the views of USAID or theU.S. government.MEASURE Evaluation is the USAID Global Health Bureausprimary vehicle for supporting improvements in monitoring andevaluation in population, health and nutrition worldwide

    ×