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Data Demand & Use Training Materials Webinar Series #7 Tuesday, February 28, 2012Presenters: Tara Nutley & Molly Cannon,

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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

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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

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Agenda• Welcome - webinar tips• Brief overview of Data Demand and Use• Presentation of Training Materials• Field Application of Materials• Questions and Answers• Wrap up

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Why improve data-informeddecision making? Pressing need to develop health policies, strategies, and interventions

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“… 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

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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

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Data-informed Decision Making Cycle

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Improving Data-informed Decision Making Data Users & Data ProducersTool Application Capacity Building Organizational Support Monitoring & Evaluation System Improvements

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Training Toolkits

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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

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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

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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

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Toolkit Components Background reading Slides Fully elaborated speaker notes Facilitator guidance Exercises Adaptations

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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

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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

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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

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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

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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

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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

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Accessing the Materials http://www.cpc.unc.edu/measure/

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FIELD APPLICATION - NIGERIA

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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

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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

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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

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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

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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

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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

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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

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Questions and Answers

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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

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

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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