Data Interpretation and Data Use For HIV and TB Programme

NGO Management & Policy Development

Course Overview

Most organisations face capacity challenges due to a number of reasons - one of which includes limited resources, both human and financial. As a consequence, HIV programme data isn't always used for decision-making or to improve programmes, but rather to simply satisfy reporting requirements.
M&E capacity development is usually a priority, however more often than not, programme managers and senior programme staff are too busy implementing programmes and responding to other pressing programme needs.
This course targets HIV Programme Managers and other staff on the use of routine and periodic HIV data for programme improvement. This training covers the major indicators of HIV programmes, including the Top Ten indicators used by major donors (The Global Fund, PEPFAR, UNAIDS, etc.) forHIV Prevention,  HIV Treatment, Care & Support, Impact Mitigation and Most-At-Risk Populations.

The objectives of the course are that HIV and AIDS programme managers at implementation level are able to critically analyse and use the data generated from their programmes for purposes of overall service delivery improvement.

Course Objectives

  • Explain the basic epidemiology of HIV and AIDS
  • Demonstrate an understanding of the fundamentals of
  • Monitoring and Evaluating HIV programmes
  • Understanding, collecting, collating, analysing and using programme data
  • Practically applying HIV programme results, through utilising and analysing available data, towards improvement in one area of programme implementation
  • Select the top indicators to measure key service delivery areas
  • Data for action: theory and steps of evidence-based practice
  • Utilise this knowledge to develop new or enhance existing HIV programmes reports
  • Utilise this knowledge through advocacy to embed a commitment to the application and use of data for programme improvement

Course Outline

Data Analysis: Reflection 

  • Share the areas of their personal/organizational level challenges in data analysis and use
  • Jot down areas for possible intervention to maximize the use of available routine data
  • Explain how data analysis is a basis for organizational learning 

Data Analysis for Knowledge Management

  • Explain how Knowledge Management is a key for organizational success
  • Describe the principle of Knowledge Management
  • Describe the difference between data, information, knowledge and wisdom
  • Tell why different level of data analysis effort is needed to generate hierarchy of information for different purpose
  • Explain why data, unless processed well and presented without explicit knowledge, may mean different things to different readers/audiences 

Fundamentals of Data Analysis

  • Describe what are data and its types
  • Explain why images and symbols are also important types of data
  • Explain how routine data is different than other available HIV data and its importance in program communication
  • Explain the stages of data analysis
  • Explain why generating key question is a fundamental step that determines the scope of data analysis 

Using Mind map for Data Analysis: Introduction

  • Describe the steps of Mind mapping process
  • Prepare a Mind map for their case study data

Generating Strategic Questions for Data Analysis 

  • Explain the need of generating key questions in data analysis
  • Generate key strategic questions for program improvement
  • Generate key strategic questions beyond pre-determined indicators from M&E framework

Selection of Appropriate Data Analysis Tools 

  • Describe typical characteristics of descriptive data analysis tools
  • Select appropriate tools for day-to-day data analysis and use 

Types and Use of Different Graphs and Charts 

  • Explain that graphs and charts can be very useful in communicating message
  • Describe typical characteristics of different graphs and charts
  • Describe key points to consider in preparing graphs and charts 

Analyzing and Interpreting Graphs and Charts 

  • Explain that graphs and charts are useful in communicating message
  • Analyze and interpret at data in charts, graphs in different ways
  • Identify what types of graphs and charts are best in communicating different message

Improving the Quality of Graphs and Charts 

  • Assess the quality of graphs and charts
  • Improve the quality of graphs and charts with proper label, title and scaling

Generating Strategic Information for Organization/Program: 

  • Use key questions in analyzing given routine data
  • Select relevant data and appropriate tools in identifying answer for key questions
  • Analyze routine data for the key questions set out by the facilitating team
  • Relate questions to appropriate data from PIF database
  • Export PIF data to Excel and create appropriate graphs and charts 

Using Data in Making Effective Presentation 

  • Set specific objectives for the presentation
  • Prepare appropriate and structured presentation for the audience
  • Make proper and logical use of analyzed data during the presentation 
  • Fine-tuning Knowledge and Skills on Data Analysis & Use
Study Online


1 Week Face to Face Classes


2 Week Face to Face Classes


Course Features
  • 8 Weeks Online
  • 1-2 Weeks Classes
  • Certified

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