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Ana Luisa Neves
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/bjj3ic/evaluation
What's inside
Syllabus
Data considerations for Digital Health
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.
Read more
Syllabus
Data considerations for Digital Health
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.
Read more
Real world research: A Proof-of-concept study and translational research
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.
Methods for evaluating Digital Health interventions
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.
Frameworks and Models for Evaluation
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops foundational skills in data visualization and management, which are core to the rapidly growing field of digital health
Examines real-world examples of digital health intervention evaluation methods, which is vital for professionals in the field
Demonstrates advanced methodologies like randomized control trials, essential for designing effective digital health interventions
Taught by Ana Luisa Neves, an experienced researcher and innovator in the digital health domain
Provides a solid grounding in evaluation frameworks and models, crucial for evaluating the impact of digital health initiatives
Does not cover cutting-edge research methodologies that are emerging in the field of digital health evaluation
Save this course
Save Evaluation of Digital Health Interventions to your list so you can find it easily later:
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Reviews summary
High quality evaluation course
According to students, evaluation assignments and peer grading are time consuming, but this is a high quality evaluation course and the best in its specialization.
Time-consuming evaluation assignments.
"Best specialisation, and the best course on Digital Evaluation. One star down because the peer graded assignments on Coursera take a lot of time to complete if there are not enough people doing a course."
"Probably the best course in the specialization, really good all around. I took one star out because the peer review assignments are by far the least efficient tool in Coursera, so they should be avoided if possible by instructors."
Peer grading can be inefficient.
"Best specialisation, and the best course on Digital Evaluation. One star down because the peer graded assignments on Coursera take a lot of time to complete if there are not enough people doing a course."
"Probably the best course in the specialization, really good all around. I took one star out because the peer review assignments are by far the least efficient tool in Coursera, so they should be avoided if possible by instructors."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Evaluation of Digital Health Interventions with these
activities:
Engage in peer discussion forums
Show steps
Participate in online discussions to exchange ideas, ask questions, and learn from others.
Show steps
-
Read through forum discussions and identify topics of interest.
-
Post thoughtful questions or comments to contribute to the discussions.
Review the NICE Evidence Framework
Show steps
Refreshing your knowledge of the NICE Evidence Framework will help you understand the principles and methods used to evaluate the effectiveness of digital health interventions.
Show steps
-
Read the NICE Evidence Framework document or watch a video tutorial on the framework.
-
Take notes on the key concepts and principles of the framework.
Review basic data management concepts
Show steps
Review fundamental data management principles to prepare for exploring digital health data.
Browse courses on
Data Management
Show steps
-
Read articles or watch videos on data management best practices.
-
Review statistical concepts related to data analysis.
18 other activities
Expand to see all activities and additional details
Show all 21 activities
Create a collection of articles and resources on digital health intervention evaluation
Show steps
Creating a collection of resources will help you stay organized and up-to-date on the latest research and best practices in digital health intervention evaluation.
Browse courses on
Evaluation
Show steps
-
Use a search engine or database to find articles and resources on digital health intervention evaluation.
-
Review the articles and resources and select those that are most relevant and informative.
-
Organize the articles and resources into a collection, such as a Google Drive folder or a Zotero library.
Review Medical Data Management
Show steps
Reviewing medical data management strategies and concepts will prepare you for the course material by giving you a solid foundation to build upon.
Browse courses on
Data Management
Show steps
-
Research data management best practices for medical data
-
Explore tools and techniques for extracting medical data from various sources
-
Practice organizing and structuring medical data for analysis
Explore real-world case studies of digital health interventions
Show steps
Gain insights into the practical applications of digital health by examining real-world case studies.
Browse courses on
Digital Health
Show steps
-
Read articles or case studies on successful digital health interventions.
-
Identify key challenges and lessons learned from these case studies.
Peer Support and Discussion
Show steps
Engaging in peer support and discussion can help you clarify concepts, share experiences, and reinforce your learning.
Show steps
-
Join online forums and discussion groups related to the course topic
-
Participate in discussions, ask questions, and share your insights
Practice data visualization techniques
Show steps
Reinforce data visualization concepts by practicing with real-world datasets.
Browse courses on
Data Visualization
Show steps
-
Create a Tableau account and explore the software's features.
-
Load a sample dataset into Tableau and create basic visualizations.
Follow a tutorial on data management and visualisation in Tableau
Show steps
Following a tutorial on data management and visualisation will help you familiarise yourself with the concepts and methods used in digital health.
Browse courses on
Data Management
Show steps
-
Identify a tutorial that covers the basics of data management and visualisation in Tableau.
-
Follow the tutorial step-by-step, taking notes on the concepts and methods used.
-
Complete the exercises and activities in the tutorial to reinforce your understanding.
Attend a workshop on data visualization for digital health
Show steps
Attending a workshop will provide you with hands-on experience and the opportunity to learn from experts in the field.
Browse courses on
Data Visualization
Show steps
-
Find a workshop on data visualization for digital health that is relevant to your interests.
-
Register for the workshop and attend all sessions.
-
Take notes on the key concepts and methods presented during the workshop.
Experimental Design for Digital Health Interventions
Show steps
Working through tutorials on experimental design for digital health interventions will equip you with the necessary knowledge and skills to design effective evaluations.
Browse courses on
Experimental Design
Show steps
-
Identify different experimental designs suitable for evaluating digital health interventions
-
Explore the principles of randomization and blinding in clinical trials
-
Learn to develop a study protocol and statistical analysis plan
Attend a peer-led discussion on data evaluation methods
Show steps
Participating in a peer-led discussion will allow you to engage with other students and explore different perspectives on data evaluation methods.
Browse courses on
Evaluation
Show steps
-
Find a peer-led discussion on data evaluation methods that is relevant to your interests.
-
Attend the discussion and actively participate by sharing your own thoughts and asking questions.
-
Take notes on the key points and insights discussed during the session.
Tableau Data Visualization Exercises
Show steps
Completing data visualization exercises in Tableau will enhance your practical skills and deepen your understanding of the concepts covered in the course.
Browse courses on
Data Visualization
Show steps
-
Import a dataset into Tableau and create basic visualizations
-
Explore different chart types and their suitability for various data types
-
Learn to create interactive dashboards and reports
Seek out a mentor with experience in digital health intervention evaluation
Show steps
Finding a mentor can provide you with personalized guidance and support throughout your learning journey.
Browse courses on
Mentorship
Show steps
-
Identify your goals and what you hope to gain from a mentorship.
-
Network with professionals in the field of digital health intervention evaluation.
-
Interview potential mentors to find the best fit.
Design a data visualization dashboard
Show steps
Demonstrate proficiency in data visualization by creating an interactive dashboard.
Browse courses on
Data Visualization
Show steps
-
Identify a suitable dataset for visualization.
-
Design the dashboard layout and select appropriate visualizations.
Digital Health Intervention Evaluation Plan
Show steps
Creating an evaluation plan for a digital health intervention will provide you with hands-on experience in applying the concepts learned in the course.
Browse courses on
Evaluation Plan
Show steps
-
Define the objectives and scope of the evaluation
-
Select appropriate evaluation methods and metrics
-
Develop a data collection and analysis plan
-
Write a comprehensive evaluation report
Develop a prototype of a digital health solution
Show steps
Apply knowledge of digital health and evaluation methods to create a tangible solution.
Browse courses on
Digital Health
Show steps
-
Define the problem to be addressed and identify potential solutions.
-
Design and implement a prototype of the solution using appropriate technologies.
Contribute to Digital Health Open Source Projects
Show steps
Contributing to open-source projects related to digital health can provide you with practical experience and enhance your understanding of the latest technologies and trends.
Browse courses on
Open Source
Show steps
-
Identify open-source projects in the field of digital health
-
Review the project documentation and codebase
-
Propose and implement improvements or new features
Participate in Digital Health Hackathons
Show steps
Participating in digital health hackathons can challenge you to apply your skills and knowledge in a creative and collaborative environment, further enhancing your learning.
Browse courses on
Digital Health
Show steps
-
Identify and register for digital health hackathons
-
Form a team and develop innovative solutions to real-world problems
-
Pitch your solutions to a panel of judges
Write a blog post on emerging trends in digital health
Show steps
Stay up-to-date with the latest advancements in digital health and share insights.
Browse courses on
Digital Health
Show steps
-
Research current trends and innovative technologies in digital health.
-
Develop a thesis or argument on the emerging trends.
Conduct a mock evaluation of a digital health intervention
Show steps
Conducting a mock evaluation will help you apply the concepts and methods you have learned in the course to a real-world scenario.
Browse courses on
Experimental Design
Show steps
-
Identify a digital health intervention that you are interested in evaluating.
-
Design an experimental or quasi-experimental evaluation plan.
-
Collect data on the intervention and its outcomes.
-
Conduct statistical analysis on the data and interpret the results.
-
Write a report summarizing your findings and recommendations.
Engage in peer discussion forums
Show steps
Participate in online discussions to exchange ideas, ask questions, and learn from others.
Show steps
Show steps
Show steps
- Read through forum discussions and identify topics of interest.
- Post thoughtful questions or comments to contribute to the discussions.
Review the NICE Evidence Framework
Show steps
Refreshing your knowledge of the NICE Evidence Framework will help you understand the principles and methods used to evaluate the effectiveness of digital health interventions.
Show steps
Show steps
Show steps
- Read the NICE Evidence Framework document or watch a video tutorial on the framework.
- Take notes on the key concepts and principles of the framework.
Review basic data management concepts
Show steps
Review fundamental data management principles to prepare for exploring digital health data.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Read articles or watch videos on data management best practices.
- Review statistical concepts related to data analysis.
18 other activities
Expand to see all activities and additional details
Show all 21 activities
Create a collection of articles and resources on digital health intervention evaluation
Show steps
Creating a collection of resources will help you stay organized and up-to-date on the latest research and best practices in digital health intervention evaluation.
Browse courses on
Evaluation
Show steps
Show steps
Show steps
- Use a search engine or database to find articles and resources on digital health intervention evaluation.
- Review the articles and resources and select those that are most relevant and informative.
- Organize the articles and resources into a collection, such as a Google Drive folder or a Zotero library.
Review Medical Data Management
Show steps
Reviewing medical data management strategies and concepts will prepare you for the course material by giving you a solid foundation to build upon.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Research data management best practices for medical data
- Explore tools and techniques for extracting medical data from various sources
- Practice organizing and structuring medical data for analysis
Explore real-world case studies of digital health interventions
Show steps
Gain insights into the practical applications of digital health by examining real-world case studies.
Browse courses on
Digital Health
Show steps
Show steps
Show steps
- Read articles or case studies on successful digital health interventions.
- Identify key challenges and lessons learned from these case studies.
Peer Support and Discussion
Show steps
Engaging in peer support and discussion can help you clarify concepts, share experiences, and reinforce your learning.
Show steps
Show steps
Show steps
- Join online forums and discussion groups related to the course topic
- Participate in discussions, ask questions, and share your insights
Practice data visualization techniques
Show steps
Reinforce data visualization concepts by practicing with real-world datasets.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Create a Tableau account and explore the software's features.
- Load a sample dataset into Tableau and create basic visualizations.
Follow a tutorial on data management and visualisation in Tableau
Show steps
Following a tutorial on data management and visualisation will help you familiarise yourself with the concepts and methods used in digital health.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Identify a tutorial that covers the basics of data management and visualisation in Tableau.
- Follow the tutorial step-by-step, taking notes on the concepts and methods used.
- Complete the exercises and activities in the tutorial to reinforce your understanding.
Attend a workshop on data visualization for digital health
Show steps
Attending a workshop will provide you with hands-on experience and the opportunity to learn from experts in the field.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find a workshop on data visualization for digital health that is relevant to your interests.
- Register for the workshop and attend all sessions.
- Take notes on the key concepts and methods presented during the workshop.
Experimental Design for Digital Health Interventions
Show steps
Working through tutorials on experimental design for digital health interventions will equip you with the necessary knowledge and skills to design effective evaluations.
Browse courses on
Experimental Design
Show steps
Show steps
Show steps
- Identify different experimental designs suitable for evaluating digital health interventions
- Explore the principles of randomization and blinding in clinical trials
- Learn to develop a study protocol and statistical analysis plan
Attend a peer-led discussion on data evaluation methods
Show steps
Participating in a peer-led discussion will allow you to engage with other students and explore different perspectives on data evaluation methods.
Browse courses on
Evaluation
Show steps
Show steps
Show steps
- Find a peer-led discussion on data evaluation methods that is relevant to your interests.
- Attend the discussion and actively participate by sharing your own thoughts and asking questions.
- Take notes on the key points and insights discussed during the session.
Tableau Data Visualization Exercises
Show steps
Completing data visualization exercises in Tableau will enhance your practical skills and deepen your understanding of the concepts covered in the course.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Import a dataset into Tableau and create basic visualizations
- Explore different chart types and their suitability for various data types
- Learn to create interactive dashboards and reports
Seek out a mentor with experience in digital health intervention evaluation
Show steps
Finding a mentor can provide you with personalized guidance and support throughout your learning journey.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Identify your goals and what you hope to gain from a mentorship.
- Network with professionals in the field of digital health intervention evaluation.
- Interview potential mentors to find the best fit.
Design a data visualization dashboard
Show steps
Demonstrate proficiency in data visualization by creating an interactive dashboard.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a suitable dataset for visualization.
- Design the dashboard layout and select appropriate visualizations.
Digital Health Intervention Evaluation Plan
Show steps
Creating an evaluation plan for a digital health intervention will provide you with hands-on experience in applying the concepts learned in the course.
Browse courses on
Evaluation Plan
Show steps
Show steps
Show steps
- Define the objectives and scope of the evaluation
- Select appropriate evaluation methods and metrics
- Develop a data collection and analysis plan
- Write a comprehensive evaluation report
Develop a prototype of a digital health solution
Show steps
Apply knowledge of digital health and evaluation methods to create a tangible solution.
Browse courses on
Digital Health
Show steps
Show steps
Show steps
- Define the problem to be addressed and identify potential solutions.
- Design and implement a prototype of the solution using appropriate technologies.
Contribute to Digital Health Open Source Projects
Show steps
Contributing to open-source projects related to digital health can provide you with practical experience and enhance your understanding of the latest technologies and trends.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify open-source projects in the field of digital health
- Review the project documentation and codebase
- Propose and implement improvements or new features
Participate in Digital Health Hackathons
Show steps
Participating in digital health hackathons can challenge you to apply your skills and knowledge in a creative and collaborative environment, further enhancing your learning.
Browse courses on
Digital Health
Show steps
Show steps
Show steps
- Identify and register for digital health hackathons
- Form a team and develop innovative solutions to real-world problems
- Pitch your solutions to a panel of judges
Write a blog post on emerging trends in digital health
Show steps
Stay up-to-date with the latest advancements in digital health and share insights.
Browse courses on
Digital Health
Show steps
Show steps
Show steps
- Research current trends and innovative technologies in digital health.
- Develop a thesis or argument on the emerging trends.
Conduct a mock evaluation of a digital health intervention
Show steps
Conducting a mock evaluation will help you apply the concepts and methods you have learned in the course to a real-world scenario.
Browse courses on
Experimental Design
Show steps
Show steps
Show steps
- Identify a digital health intervention that you are interested in evaluating.
- Design an experimental or quasi-experimental evaluation plan.
- Collect data on the intervention and its outcomes.
- Conduct statistical analysis on the data and interpret the results.
- Write a report summarizing your findings and recommendations.
Career center
Learners who complete Evaluation of Digital Health Interventions will develop knowledge and skills
that may be useful to these careers:
Medical Statistician
Medical Statistician
Medical Statisticians use their skills in statistics and data analysis to help design and conduct clinical trials and other types of medical research studies. This course will provide you with the foundation in statistical methods that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working with health data. This course is also a good choice for those who wish to pursue a career in biostatistics.
Epidemiologist
Epidemiologist
Epidemiologists use their skills in data analysis and research methods to investigate the causes and patterns of disease. This course will provide you with the foundation in data management, data visualization, and statistical methods that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working with health data. This course is also a good choice for those who wish to pursue a career in public health.
Digital Health Product Manager
Digital Health Product Manager
Digital Health Product Managers are responsible for the development and marketing of digital health products and services. This course will provide you with the foundation in data management, research methods, and healthcare systems that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working in healthcare. This course is also a good choice for those who wish to pursue a career in the digital health industry.
Public Health Analyst
Public Health Analyst
Public Health Analysts use their skills in data analysis and research methods to investigate and address public health issues. This course will provide you with the foundation in data management, data visualization, and statistical methods that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working with health data. This course may also be helpful for those who wish to pursue a career in public health policy or administration.
Clinical Research Associate
Clinical Research Associate
Clinical Research Associates (CRAs) are responsible for managing and conducting clinical trials. This course will provide you with the foundation in data management, research methods, and healthcare systems that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working in clinical research. This course is also a good choice for those who wish to pursue a career in the pharmaceutical industry.
Health Data Scientist
Health Data Scientist
Health Data Scientists use their knowledge of programming, statistics, and healthcare to analyze and interpret health-related data. This course will help build a foundation in data management, data visualization, and statistical methods that are essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working with health data. This course may also be helpful for those who wish to pursue a career in healthcare research.
Health Informatics Specialist
Health Informatics Specialist
Health Informatics Specialists use their skills in information technology and healthcare to improve the efficiency and effectiveness of healthcare delivery. This course will provide you with the foundation in data management, research methods, and healthcare systems that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working in healthcare. This course is also a good choice for those who wish to pursue a career in health information management or technology.
Health Policy Analyst
Health Policy Analyst
Health Policy Analysts use their skills in research and analysis to develop and evaluate health policies. This course will provide you with the foundation in data management, research methods, and healthcare systems that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working in healthcare. This course is also a good choice for those who wish to pursue a career in health policy or administration.
Data Analyst
Data Analyst
Data Analysts use their skills in data management, data visualization, and statistical analysis to help organizations make better decisions. This course will provide you with the skills and knowledge you need to succeed in this role. You will also learn about the ethical and regulatory considerations that are specific to working with data. This course may also be helpful for those who wish to pursue a career in business intelligence or data science.
Health Economist
Health Economist
Health Economists use their skills in economics and data analysis to evaluate the cost-effectiveness of healthcare interventions. This course will provide you with the foundation in data management, research methods, and healthcare systems that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working in healthcare. This course may also be helpful for those who wish to pursue a career in health policy or research.
Medical Writer
Medical Writer
Medical Writers use their skills in writing and research to create educational and promotional materials for the healthcare industry. This course will provide you with the foundation in data management, research methods, and healthcare systems that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working in healthcare. This course is also a good choice for those who wish to pursue a career in science writing or journalism.
Science Writer
Science Writer
Science Writers use their skills in writing and research to create educational and promotional materials for the scientific community. This course will provide you with the foundation in data management, research methods, and healthcare systems that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working in healthcare. This course is also a good choice for those who wish to pursue a career in science writing or journalism.
Healthcare Consultant
Healthcare Consultant
Healthcare Consultants use their knowledge of healthcare systems and practices to help organizations improve their performance. This course will provide you with the foundation in data analysis, research methods, and healthcare systems that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working in healthcare. This course may also be helpful for those who wish to pursue a career in healthcare management or policy.
Biomedical Engineer
Biomedical Engineer
Biomedical Engineers use their skills in engineering and biology to design and develop medical devices and technologies. This course will provide you with the foundation in data management, research methods, and healthcare systems that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working in healthcare. This course may also be helpful for those who wish to pursue a career in medical device design or development.
Pharmaceutical Sales Representative
Pharmaceutical Sales Representative
Pharmaceutical Sales Representatives are responsible for selling and marketing pharmaceutical products to healthcare providers. This course will provide you with the foundation in data management, research methods, and healthcare systems that is essential for success in this role. You will also learn about the ethical and regulatory considerations that are specific to working in healthcare. This course may also be helpful for those who wish to pursue a career in the pharmaceutical industry.
For more career information including salaries, visit:
OpenCourser.com/course/bjj3ic/evaluation
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Evaluation of Digital Health Interventions.
Save
Provides a comprehensive overview of statistical methods used in clinical trials, including their design, conduct, and analysis. It is particularly useful for gaining a deeper understanding of the statistical principles underlying clinical trial design and analysis.
Provides a vision of the future of healthcare, driven by digital health technologies. It is particularly useful for gaining insights into the potential of digital health to transform healthcare delivery and improve patient outcomes.
Save
Provides an overview of artificial intelligence in healthcare, including its principles, applications, and implications. It is particularly useful for gaining a deeper understanding of the role of AI in digital health and the provision of healthcare services.
Provides an overview of health economics and outcomes research, including its principles, methods, and applications. It is particularly useful for gaining a deeper understanding of the economic evaluation of digital health interventions.
Provides a comprehensive overview of clinical research methods, including evaluation methods, which can be useful for understanding the evaluation methods for digital health interventions.
Provides comprehensive coverage of data analysis using R, which can be useful for understanding the statistical analysis of digital health interventions.
Provides comprehensive coverage of statistical power analysis, which can be useful for understanding the design and analysis of digital health interventions.
Provides guidance on understanding and evaluating health research, which can be useful for anyone interested in evaluating digital health interventions.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/bjj3ic/evaluation
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Program Design & Evaluation for Health Systems...
Level
Intermediate
Via
Coursera
Institution
Imperial College London
Instructor
Ana Luisa Neves
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
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This course belongs to a
collection
called
Digital Health. It's comprised of three courses:
- Introduction to Digital health
- Evaluation of Digital Health Interventions (viewing)
- Design and Implementation of Digital Health Interventions
Good to know
Develops foundational skills in data visualization and management, which are core to the rapidly growing field of digital health
Examines real-world examples of digital health intervention evaluation methods, which is vital for professionals in the field
Demonstrates advanced methodologies like randomized control trials, essential for designing effective digital health interventions
Taught by Ana Luisa Neves, an experienced researcher and innovator in the digital health domain
Provides a solid grounding in evaluation frameworks and models, crucial for evaluating the impact of digital health initiatives
Does not cover cutting-edge research methodologies that are emerging in the field of digital health evaluation
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