I NTRODUCTION TO B ASIC D ATA A NALYSIS AND I NTERPRETATION FOR H EALTH P ROGRAMS.
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Transcript of I NTRODUCTION TO B ASIC D ATA A NALYSIS AND I NTERPRETATION FOR H EALTH P ROGRAMS.
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INTRODUCTION TO BASIC DATA ANALYSIS AND
INTERPRETATION FOR HEALTH PROGRAMS
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Training Objectives
To improve understanding of statistical and monitoring and evaluation (M&E) concepts in data analysis
To build skills in basic data analysis, including setting targets and calculating program coverage, and service utilization and retention
To enhance skills in data interpretation
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Training Overview
Training introduction
Module 1: Data analysis key concepts
Module 2: Basic analyses
Module 3: Data presentation & interpretation
Review of key themes
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Introductions
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Training Introduction
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Training Introduction: Learning Objectives
Understand the importance of improving data-informed decision making
Understand the role of monitoring and evaluation (M&E) data in decision making
Understand the importance of data analysis and interpretation
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“… 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
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Why Improve Data-informed Decision Making?
HIV epidemic
Resurgence of TB
Continued prevalence of malaria
Pockets of stalled fertility decline
Population burden
Shortage of health care workers
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Context
Pressing need to develop health policies, strategies, and
interventions
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Monitoring and Evaluation
Track changes in program performance over time
Monitoring
Attribute program outcomes to their causes
Evaluation
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Data Data sources
Service delivery statistics
Census
Surveys, evaluations, research studies
Sentinel surveillance
Budget information
Data vs. information =
unsynthesized vs. synthesized
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Purposes of Monitoring and Evaluation
Determine whether a plan or program is on schedule with planned activities
Assess whether a policy, plan, or program has produced desired impacts
Generate knowledge: • Identify programmatic gaps, factors that influence
health outcomes, etc.
Inform policy, planning, or program decisions
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M&E Is Not an Enemy
Policymakers, program managers, and
M&E/strategic information specialists can be
partners
Strong decision making and management
rely on high-quality M&E / strategic
information
Data quality is linked to data use
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data-based decisions,
which lead to…
better health programs and
better health outcomes
Monitoring and Evaluation allows….
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Group Participation
Who analyzes and interprets data in your organization?
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We can use information to…
Inform policies and plans
Raise additional resources
Strengthen programs and improve results
Ensure accountability and reporting
Improve quality of services provided
Contribute to global lessons learned
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“Making Data Speak” in Thailand Need: Strengthen commitment of policymakers to
HIV prevention Data: Behavioral and epidemiological data Response:
Analyzed data with Asian Epidemic Model and GOALS model Determined responses and resources needed Communicated data to stakeholders
Decision/Action: Successfully emphasized prevention agenda in national strategic
plan and developed an operational plan to guide prevention programming
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Using NNRIMS Data to Inform Resource Allocation
Need: Strengthen monitoring of HIV/AIDS service delivery
Data: HIV service delivery indicators Response:
Development of NNRIMS, a routine information system Quarterly reports summarizing data prepared for and
reviewed by LGA managers & decision makers
Decision/Action: Chairman procured 480 HIV test kits, enabling more people
to get tested in Doma
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Key Messages
Decisions based on evidence lead to better
health outcomes
We all have a role in M&E – partners in progress
High-quality information is needed for decision
making at policy, planning, and program levels
Purpose of M&E is not just to produce more
information but to inform action