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Evaluation of Digital Health Interventions
  • Level Professional
  • Duration 32 hours
  • Course by Imperial College London
  • Offered by

About

This course focuses on data, evaluation methods and the economic evaluation of digital health interventions. This module focuses on key data considerations for digital health including data management, data visualisation and methods for evaluating digital health interventions. The key focus is on experimental and quasi-experimental design approaches that can be applied to evaluating digital health interventions and key considerations for the economic evaluation of digital health interventions.

Modules

Welcome to Imperial College London

    • 5 Readings
    • 1 Discussion
    • 1 Plugin
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1 Discussions

  • Nice to meet you!

5 Readings

  • About Imperial College London
  • About the digital health team
  • How to be successful in this course?
  • Grading Policy
  • Glossary

Data Considerations for Digital Health

    • 5 Readings
    • 1 Discussion
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1 Discussions

  • Data Considerations in Practice

5 Readings

  • Introductory reading on Evaluating Digital Heath Interventions
  • Data and Digital Health — Why is it important?
  • Types of Data in Digital Health
  • Data Requirements and Considerations for Digital Health
  • Data Management

Uses of Data in Digital Health

    • 1 Videos
    • 5 Readings
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1 Videos

  • Interrogating Large Healthcare datasets

5 Readings

  • (Video) Visualising big data to tackle antimicrobial resistance
  • Infection in Hospitals: Using individual patient movement data
  • Big Data and the real world
  • (Video) Optional: Are we entering a Post-Antibiotic World?
  • Text Mining to Track Outbreaks

Data Visualisations

    • 1 Videos
    • 2 Readings
    • 2 Discussion
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2 Discussions

  • Visualisation Activity
  • Data visualisations: your examples

1 Videos

  • Interview with James Scott-Brown: Data Visualisation

2 Readings

  • Hans Rosling Data Presentation and Summary of Examples
  • Visualisation using Tableau

Summative quiz

    • 1 Assignment
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1 Assignment

  • Data considerations, uses, and visualisations

Evaluation example: The Ebola Contact Tracing Study

    • 3 Videos
    • 3 Readings
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3 Videos

  • Introduction to the Ebola Contact Tracing Study
  • The Ebola Contact Tracing Study
  • Process evaluation in Digital Health

3 Readings

  • Pre-reading - Digital approaches to contact tracing
  • Design, development and implementation of the Ebola Contact Tracing Study
  • Follow-up reading

Routinely captured data

    • 1 Videos
    • 1 Readings
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1 Videos

  • Interview with Ben Glampson: Routinely captured data

1 Readings

  • NHS Data and Translational research

Critical Appraisal of Digital Health Interventions

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Follow up from previous reading

1 Readings

  • Appraisal of Digital Health intervention evaluation

Summative Quiz

    • 1 Assignment
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1 Assignment

  • Summative Quiz

Methods for evaluating Digital Health Interventions

    • 2 Readings
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2 Readings

  • Evaluation Methods for Digital Health Interventions
  • Monitoring and Evaluating Digital Health Interventions

Randomised Control Trials and Natural Experiments

    • 1 Videos
    • 3 Readings
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1 Videos

  • Evaluating Digital Health Interventions

3 Readings

  • Key considerations for Randomised Control Trials 
  • Adaptive Designs and designing efficient RCTs
  • Natural Experiments

Digital Health Interventions

    • 2 Readings
    • 2 Discussion
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2 Discussions

  • Limitations of the Babylon study
  • NICE evidence framework in context

2 Readings

  • Reviewing the Babylon study
  • NICE evidence standard framework

Summative quiz

    • 1 Assignment
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1 Assignment

  • Knowledge on Randomised Control Trials

Economic Evaluation in Digital Health

    • 2 Videos
    • 1 Readings
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2 Videos

  • Economic Evaluation in Healthcare
  • Health Economics and Digital Health interventions

1 Readings

  • Optional: Cost Benefit Analysis

Frameworks and Models for Evaluation

    • 1 Videos
    • 3 Readings
    • 1 Assignment
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1 Assignment

  • Evaluating a Digital Health intervention

1 Videos

  • Logic models

3 Readings

  • Evaluating Complex Interventions
  • Robust Trials
  • Process and engagement measures

Statistical Analysis Plans

    • 2 Readings
    • 1 Plugin
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2 Readings

  • Designing a statistical analysis plan
  • Statistical analysis plan

Summative Peer Review

    • 1 PeerReview
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1 Peer Review

  • Evaluation strategy for a digital monitoring system in a London hospital

Case study: A Digital Monitoring Tool for Sepsis

    • 1 Videos
    • 3 Readings
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1 Videos

  • Evaluating an implemented Digital Health intervention

3 Readings

  • Feedback
  • Big Data and quasi-experimental design
  • Optional: (Podcast) Sepsis Alert Saves Lives

Careers and resources in Digital Health and Post-Course Survey

    • 1 Videos
    • 1 Readings
    • 1 Plugin
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1 Videos

  • Interview with Maxine Mackintosh

1 Readings

  • Digital Health resources for wider reading and careers

Auto Summary

Elevate your expertise in the health and fitness domain with the "Evaluation of Digital Health Interventions" course offered by Coursera. This professional-level course delves deeply into the essential aspects of assessing digital health solutions, emphasizing data management, visualization, and comprehensive evaluation methods. Throughout the course, you will explore experimental and quasi-experimental design approaches, equipping you with robust strategies to evaluate digital health interventions effectively. Additionally, you will gain insights into the economic considerations critical to the successful implementation and sustainability of these interventions. The course spans an intensive 1920-minute duration, providing a thorough and in-depth learning experience. Flexible subscription options, including Starter and Professional plans, cater to various learner needs and professional development goals. This course is ideal for health professionals, data analysts, and anyone involved in the digital health sector seeking to enhance their evaluation skills and drive impactful health outcomes through data-driven insights. Join now to stay at the forefront of digital health innovation.

Ana Luisa Neves
Instructor

Ana Luisa Neves