Data Use for Gender-Aware Health Programming Welcome and Introductions.

Slides:



Advertisements
Similar presentations
DATA DEMAND AND USE: S HARING I NFORMATION AND P ROVIDING F EEDBACK Session 5.
Advertisements

Nigeria Case Study HIVAIDS Specific Slides. ANALYZING AND INTERPRETING DATA.
Rwanda Case Study Additional Slides on Stakeholder Involvement.
GENERATING DEMAND FOR DATA Module 1. Session Objectives  Understand the importance of improving data-informed decision making  Understand the role of.
Monitoring and Evaluation of National Tuberculosis Programs Regional Workshop Kyiv, Ukraine May 23-26, 2006.
Begin with the End in Mind
LINKING DATA TO ACTION Session 6. Session Objectives By the end of this session, you will be able to:  Identify priority decisions and programmatic questions.
DETERMINANTS OF DATA USE Session 2. Session Objectives  Explain the data-use conceptual framework  Highlight the determinants of data use  List potential.
Context of Decision Making
UNDERSTANDING DATA AND INFORMATION FLOW Session 4.
MEASURE Evaluation DATIM Data Exchange Denise Johnson
Linking Data with Action Part 1: Seven Steps of Using Information for Decision Making.
Linking Data with Action Part 2: Understanding Data Discrepancies.
Regional Forum: Use of Gender Data in Sub-national Decision-making Kigali, Rwanda August 2012 Key Gender Terms and Concepts.
WHY IS THIS HAPPENING IN THE PROGRAM? Session 5 Options for Further Investigation & Information Flow.
Introduction to Group Work. Learning Objectives The goal of the group project is to provide workshop participants with an opportunity to further develop.
Data Use for Gender-Aware Health Programming Session 1: Setting the Gender Policy Context.
Unmet Need Exercise  Review the trends in CPR. What do you conclude about the performance of the FP program in each country?  Review trends in unmet.
Day 4: Field Practicum This presentation has been supported by the U.S President’s Emergency Plan for AIDS Relief (PEPFAR) through the U.S. Agency for.
MEASURE Evaluation Data Quality Assurance Workshop Session 3 Introduction to Routine Data Quality Assessment.
PLANNING FOR QUALITATIVE DATA COLLECTION Day 2 - Session 4.
MEASURE EVALUATION Session: 7 Developing Action Plans Based on Results Data Quality Assurance Workshop.
Data Demand & Use: Information Use Map Webinar Series #2 Tuesday, January 24, 2012 Presenters: Eric Geers and Tara Nutley.
Monitoring & Evaluation Capacity Strengthening Workshop WORKSHOP INTRODUCTION AND OVERVIEW.
Integration of Community Based Services It seems like a good idea, but how to make it work? Molly Cannon Palladium/MEASURE Evaluation September 28, 2015.
Management of RHIS Resources
Introduction ROUTINE HEALTH INFORMATION SYSTEMS MODULE 9:
Community Health Information System in Action in SSNPR/Ethiopia
Difference-in-Differences Models
Data Quality Assurance Workshop
Introduction MODULE 2: Indicators and Data Collection and Reporting
Introduction ROUTINE HEALTH INFORMATION SYSTEMS MODULE 5:
RHIS Design and Reform ROUTINE HEALTH INFORMATION SYSTEMS MODULE 10:
Session: 5 Using the RDQA tool for System Assessment
Session: 8 Disseminating Results
Introduction ROUTINE HEALTH INFORMATION SYSTEMS MODULE 8:
Introduction MODULE 6: RHIS Data Demand and Use
Fundamentals of Monitoring and Evaluation
The PLACE Mapping Tool Becky Wilkes, MS, GISP Marc Peterson, MA, GISP
Training of Trainers on the OVC Household Vulnerability Prioritization Tool.
ROUTINE HEALTH INFORMATION SYSTEMS
MEASURE Evaluation Using a Primary Health Care Lens Gabriela Escudero
Monitoring and Evaluation of HIV/AIDS Programs Workshop Overview
Introduction to Comprehensive Evaluation
Introduction ROUTINE HEALTH INFORMATION SYSTEMS MODULE 4:
Overview of the RHIS Rapid Assessment Tool
Session: 4 Using the RDQA tool for Data Verification
Complementing Routine Data with Qualitative Data for Decision Making: Understanding the "Why" Behind Program Data Day 1 - Session 1 Note to Facilitator:
Assessment Training Session 9: Assessment Analysis
Training Content and Orientation
Introduction ROUTINE HEALTH INFORMATION SYSTEMS MODULE 3:
Introduction RHIS Design and Reform ROUTINE HEALTH INFORMATION SYSTEMS
Introduction to Health Informatics:
Introduction to the PRISM Framework
Information Systems for Health:
Process Improvement, System Design, and Usability Evaluation
Information Systems for Health:
Introduction to Health Informatics:
Session: 6 Understanding & Using the RDQA Tool Output
Introduction MODULE 7: RHIS Governance and Management of Resources
Process Improvement, System Design, and Usability Evaluation
Siân Curtis, PhD OVC Evaluation Dissemination Meeting,
Data and Interoperability:
Use of Information for Decision Making
Measuring Data Quality
Introduction to Health Informatics
Session: 9 On-going Monitoring & Follow Up
Process Improvement, System Design, and Usability Evaluation
EHRs and Privacy Protection in LMICs
Willis Odek, PhD Chief of Party/Senior Technical Advisor,
Presentation transcript:

Data Use for Gender-Aware Health Programming Welcome and Introductions

Participant Interviews  What is your name?  What is your title?  What is one thing that no one in the room knows about you?

Learning Objectives  Interpret routine data to identify gender-related service disparities;  Assess and prioritize potential reasons for gender disparities;  Identify actions to address prioritized causal factors;  Identify indicators and a plan to monitor changers over time.

Agenda DAY ONEDAY TWODAY THREE Morning Session 3: Review Data Analysis Packets Session 4: Introduction to Gender Analysis Framework Team Activity Session 6: Gender Integration with a Special Focus on Indicators Team Activity Lunch AfternoonSession 1: Setting the Gender Policy Context Group Exercise Session 2: Key Gender Terms and Concepts Group Exercise Session 5: Options for Further Investigation and Information Flow Poster Session Next Steps Workshop Evaluation

Expectations and Ground Rules

MEASURE Evaluation is funded by the U.S. Agency for International Development and is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill in partnership with Futures Group International, ICF Macro, John Snow, 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.