Training on Evaluation of Digital Health Interventions

This training equips participants with the knowledge and tools to assess the effectiveness, scalability, and sustainability of digital health solutions. It covers evaluation frameworks, data collection methods, cost-effectiveness analysis, and ethical considerations. Through case studies of mHealth, telemedicine, and digital health records, participants will gain practical skills to measure impact and generate evidence for decision-making.

Duration

5 Days

Who Should Attend

• Public health professionals and program managers.

• M&E specialists in health and development projects.

• ICT professionals in digital health solutions.

• Policy makers and donor agency representatives.

• Researchers and consultants in health systems.

By the end of the course, participants will be able to:

1. Understand evaluation approaches for digital health initiatives.

2. Apply appropriate methodologies for assessing effectiveness and scalability.

3. Analyze digital health data and interpret results.

4. Assess ethical, privacy, and data protection issues.

5. Develop practical evaluation reports for decision-making.

By the end of the course, participants will be able to:

1. Understand evaluation approaches for digital health initiatives.

2. Apply appropriate methodologies for assessing effectiveness and scalability.

3. Analyze digital health data and interpret results.

4. Assess ethical, privacy, and data protection issues.

5. Develop practical evaluation reports for decision-making.

Module 1: Introduction to Digital Health Evaluation

• Types of digital health interventions: mHealth, eHealth, telemedicine.
• Evaluation frameworks: WHO, MEASURE Evaluation, mERA.
• Case Study: Evaluating a mobile app for maternal health tracking.

Module 2: Methodologies & Data Collection Tools

• Quantitative, qualitative, and mixed methods approaches.
• Digital data sources: EMRs, DHIS2, mobile surveys.
• Case Study: Evaluating SMS-based HIV/AIDS adherence programs.

Module 3: Measuring Effectiveness & Impact

• Outcome indicators, KPIs, and health system performance.
• Cost-effectiveness and ROI in digital health.
• Case Study: Cost-benefit analysis of telemedicine in rural clinics.

Module 4: Ethical, Legal & Data Governance Considerations

• Data privacy, informed consent, and cybersecurity.
• Ethical challenges in digital health adoption.
• Case Study: Managing confidentiality in digital tuberculosis records.

Module 5: Reporting & Scaling Up Digital Health Interventions

• Communicating evaluation findings.
• Policy briefs and donor reporting.
• Case Study: Evaluation shaping scale-up of digital immunization systems.