Training on Evaluation of Digital Health Interventions and Health Transformation

Digital health interventions are transforming healthcare delivery, but their effectiveness, scalability, and sustainability must be rigorously evaluated. Accurate evaluation ensures evidence-based decision-making, program improvement, and strategic investment in digital health solutions.

This course equips participants with practical skills to evaluate digital health interventions, including mHealth, telemedicine, and digital health records. Topics include evaluation frameworks, data collection methods, cost-effectiveness analysis, ethical considerations, and impact measurement. Participants will engage with real-world case studies to develop actionable insights for health program transformation.

By the end of the training, participants will be able to assess digital health interventions, generate robust evidence, and provide recommendations for scaling and optimizing health solutions.

Duration

 5 Days

Who Should Attend

• Public health professionals and program managers
• M&E specialists in health and development projects
• ICT professionals implementing digital health solutions
• Policy makers and donor agency representatives
• Researchers and consultants in health systems

Organisational Impact

• Strengthen capacity to evaluate effectiveness and impact of digital health interventions.
• Improve evidence-based decision-making for program design and scale-up.
• Enhance health system performance through data-driven insights.
• Support sustainable implementation of mHealth, telemedicine, and digital health solutions.
• Facilitate compliance with ethical, regulatory, and quality standards.
• Optimize resource allocation by identifying cost-effective interventions.
• Increase organizational credibility with measurable outcomes and impact reporting.
• Enable strategic planning for health transformation and innovation initiatives.

Personal Impact

• Develop skills to design and conduct rigorous digital health evaluations.
• Gain expertise in data collection, analysis, and interpretation for health programs.
• Strengthen ability to measure effectiveness, scalability, and sustainability of interventions.
• Enhance proficiency in cost-effectiveness analysis and impact assessment.
• Build capacity to guide health system transformation through digital solutions.
• Expand career opportunities in public health, digital health, and healthcare management.
• Position yourself as a specialist in evidence-based health program evaluation and innovation.

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

• Understand evaluation approaches for digital health initiatives.

• Apply appropriate methodologies for assessing effectiveness and scalability.

• Analyze digital health data and interpret results.

• Assess ethical, privacy, and data protection issues.

• 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.