Course on M&E, Data Management & Analysis for Health Sector

Who should attend?

• • Government & NGOs
  • Health Care staff & experts in various sectors like Nutrition & Health
  • Rural Development staff in community development tasked with implementation and developing health policy.
  • Health, Social Care, Preventive and Medical experts.

  Learning Objectives

  • To learn how to design an M&E-system including assessments for Health programmes.
  • To Understand the principles of participatory and learning orientated planning, monitoring and evaluation in health and social care.
  • Understand the role of health and social care in attaining the SDGs
  • Have a clear idea for improving M&E systems and impact assessments for health and social care

  Course Content

  Data demand and use for Health and Social Care programmes

  • Data use frameworks and key concepts
  • Data demand
  • Information availability
  • Information use

  Introduction to Data analysis and interpretation for Health and Social Care programmes

  • Data analysis key concepts
  • Types of variables
  • Basic analysis

  Summarizing data

  • Numerical summaries for discrete variables
  • Tables for dichotomous variables
  • Tables for categorical variables
  • Tables for ordinal variables
  • Graphs and charts for dichotomous and categorical variables
  • Graphs and charts for ordinal variables
  • Tabulations for summary statistics for continuous variables
  • Graphs and charts for continuous variables

  Introduction to qualitative data Analysis

  • Planning for qualitative data analysis
  • Reviewing the data
  • Organizing your data
  • Coding the data
  • Introduction to use of qualitative data analysis software (NVivo)

  Quantitative data Analysis

  • Planning for qualitative data analysis
  • Comparison of Data analysis packages
  • Basics for statistical analysis
  • Testing for normality of data
  • Choosing the correct statistical test
  • Hypothesis testing
  • Confidence intervals
  • Tests of statistical significance (Parametric and non-parametric tests)
  • Hypothesis testing versus confidence intervals
  • Interpreting the data

  Assessing Impact on Health and Social Care programmes

  • Introduction to Impact Assessment
  • Programme Design Implications
  • Impact Assessment in Programme Design

  Methods and Approaches for Assessing Impact

  • Overview of Methods and Approaches
  • Quantitative Methods: Household Surveys
  • Quantitative Methods: Secondary Data
  • Qualitative Methods
  • Selecting Methods and Approaches

  M& E Fundamentals

  • What is M&E?
  • M&E Plans
  • M&E Frameworks
  • Indicators
  • Data sources collection and use
  • Defining a good M&E system
  • Relating Monitoring and evaluation to your project cycle
  • Including M&E in health programme design
  • Identifying the challenges facing Monitoring and Evaluation.
  • Participatory M&E systems

  M&E Frameworks

  • M&E Frameworks basics for Health and Social Care programmes
  • M&E in Health and Social Care programmes
  • M&E Frameworks
  • Developing and operationalizing M&E frameworks
  • Linking M&E frameworks to indicators
  • Using data
  • Monitoring result and impact using a logical framework

  Gender M&E

  • Introduction to M&E in Gender for Health and Social Care programmes
  • Prioritizing gender in M&E plans
  • Exploring gender in M&E plans
  • Selecting indicators to measure gender related outputs and outcomes
  • Gender considerations for data collection, interpretation and use

  Step-by-Step approaches to M&E

  • Agree on the purpose and principles of the project M&E system
  • Agree on and design core documents to setup an M&E system
  • Establish project M&E system
  • Agree on field monitoring data collection and management process
  • Agree on Monitoring data analysis process
  • Agree on process for monitoring data utilization and reporting
  • Review and revise M&E plans based on progress
  • Agree on process of evaluation management

  Interpreting and communicating results for M&E

  • Communication and reporting for M&E
  • Contemporarily methods of disseminating

  Data collection, management and data quality

  • Data collection methods: How to undertake data collection (quantitative and qualitative)
  • M&E field trips
  • Increasing questionnaires response rates
  • Data collection versus data analysis
  • Data quality and data management
  • Data quality dimensions
  • Functional areas of data management systems
  • Double counting
  • Obtaining data from Social media

  ICT tools for data collection, monitoring and evaluation in Health and Social Care programmes

  • ICT innovations
  • Data collection implementation models
  • Key choice of application to collect data in rural areas
  • ICT tool for Data processing
  • Using Mobile phones for data collection
  • Dashboards; analytics, data management and stakeholders access
  • Case study

     

  • For further inquiries, please contact us on 

    Tel: +254 20 2000 957.

    Mob: +254 727 446 544.

    Email: info@ajtraining.co.za

    REQUIREMENTS AND TRAINING VENUE

    The training is residential and will be held at AJT Training Centre. Delegates should be reasonably proficient in English. Applicants must live up to Alexander James Training (AJT) admission criteria.

    ACCREDITATION

    Upon successful completion of this training, participants will be issued with an Alexander James Training (AJT) certificate.

  • CUSTOMIZED/TAILOR- MADE

    We will customize this training to fit your professional and institution expected outcome. You can have it delivered in our AJT Training Centre or at a convenient location.

    Kindly Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and delivery methodology.