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.
Evaluation of Digital Health Interventions
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Evaluation of Digital Health Interventions
This course is part of Digital Health Specialization
Instructor: Ana Luisa Neves
4,469 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.7
(25 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 32 hours
Learn at your own pace
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Assessments
5 assignments
Taught in English
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This course is part of the Digital Health Specialization
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There are 4 modules in this course
During this week, the focus will be on data considerations for digital health. This will be illustrated through examples around electronic disease surveillance and strategies for the extraction of medical data and how to present it. We will get you to think about what aspects of this would be challenging in your own context. The focus of the module then moves onto data visualisation with key case studies and examples of how to interrogate large datasets to examples of data visualisation. There will be a specific activity for you to do in this module in Tableau on visualising data.
What's included
2 videos17 readings1 assignment4 discussion prompts1 plugin
In this week, you will learn about real world case studies to improve real-time data collection and monitoring for Ebola building and the use of process evaluation to evaluate this intervention. You will then hear about interesting ways that data can be routinely used in healthcare with examples from the UK National Health Service.
What's included
4 videos5 readings2 assignments
This module focuses on methods for evaluating digital health interventions and you will focus on experimental and quasi-experimental evaluation approaches that can be applied to evaluating digital health interventions. You will then be introduced to real-world examples of some of these approaches and key considerations for randomised control trials. You will then focus on a specific example of methodological concerns of an evaluation of a digital medicine system, the limitations of this study and the NICE Evidence Framework.
What's included
3 videos8 readings1 assignment2 discussion prompts
In this week, you will learn about frameworks and models for evaluation, what robust trials are and examples of these, logic models and how to design a statistical analysis plan.
What's included
3 videos9 readings1 assignment1 peer review2 plugins
Instructor
Instructor ratings
4.7 (6 ratings)Offered by
Recommended if you're interested in Public Health
Imperial College London
Johns Hopkins University
Icahn School of Medicine at Mount Sinai
University of Pittsburgh
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Taking this course by Imperial College London may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
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