The spring semester 2021 will certainly take place online until Easter. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers.

363-1135-00L  Digital Health Project

SemesterAutumn Semester 2020
LecturersT. Kowatsch
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 30.



Catalogue data

AbstractToday, we face the challenge of chronic conditions. Personal coaching approaches are neither scalable nor financially sustainable. The question arises therefore to which degree Digital Health Interventions (DHIs) are appropriate to address this challenge. In this lecture, students will learn about the need, design, implementation and assessment of DHIs.
ObjectiveThe increasing prevalence of chronic conditions leads to the important question on how to develop evidence‐based digital health interventions (DHIs) that allow medical doctors and other caregivers to scale and tailor long‐term treatments to individuals in need at sustainable costs. At the intersection of health economics, information systems research, computer science, and behavioral medicine, this lecture has the objective to help students and upcoming healthcare executives interested in the multi‐disciplinary field of digital health to better understand the need, design, implementation, and assessment of DHIs. After the course, students will be able to…
1. understand the importance of DHIs for the management of chronic conditions
2. discuss the opportunities and challenges related to DHIs
3. better understand the design, implementation and evaluation of smartphone‐based and chatbot‐delivered DHIs.
ContentThe promise of more personalized, patient‐centered and outcomes‐based healthcare is real, worthy, and within reach (Harvard Business Review, October 2019), Industries like healthcare are quietly adopting chatbots to free up busy professionalsʹ time and offer guided, personalized experiences to consumers (CB Insights, October 2019), Digital health companies raised a total of $4.2B across 180 deals through the first half of 2019. If this pace holds steady, the sector is on track for an $8.4B year in 2019 ‐ and may even top 2018ʹs record‐breaking annual funding total. (Sean Day, Rocket Health, 2019 Midyear Digital Health Market Update)

Today, we face the challenge of dealing with the specific characteristics of chronic conditions. These are now responsible for around 70% of all deaths worldwide and are associated with an estimated economic loss of $7 trillion between 2011 and 2025. Chronic conditions require an intervention paradigm that focuses on prevention and lifestyle change. A corresponding change in lifestyle is, however, only implemented by a fraction of those affected, partly because of missing or inadequate interventions or health literacy, partly due to socio‐cultural influences. Individual personal coaching of these individuals is neither scalable nor financially sustainable.

Against this background, the question arises on how to develop evidence‐based digital health interventions (DHIs) that allow medical doctors and other caregivers to scale and tailor long‐term treatments to individuals in need at sustainable costs. At the intersection of health economics, information systems research, computer science, and behavioral medicine, this lecture has the objective to help students and upcoming healthcare executives interested in the multi‐disciplinary field of digital health to better understand the need, design, implementation, and assessment of DHIs. After the course, students will be able to…
1. understand the importance of DHIs for the management of chronic conditions
2. discuss the opportunities and challenges related to DHIs
3. better understand the design, implementation and evaluation of smartphone‐based and chatbot‐delivered DHIs

To reach the learning objectives, students will work on the following topics:

1. Motivation for Digital Health
• The rise of chronic diseases in developed countries
• Lifestyle as medicine and prevention of chronic diseases

2. Design of a Digital Health Intervention (DHI)
• Overview of design frameworks for health interventions
• Development of a conceptual model for a DHI
• Implementation of a smartphone‐based and chatbot‐delivered DHI

3. Evaluation of DHIs
• Overview of evaluation methods and evaluation criteria for DHIs
• Evaluation of a smartphone‐based and chatbot‐delivered DHI

Course structure
The lecture is structured in two parts and follows the concept of a hybrid therapy consisting of live online sessions (which will be also recorded in Zoom) and complementary asynchronous online lessons. In the first part, students will learn and discuss the topics of the three learning modules in weekly online sessions. Complementary learning material, multiple‐choice questions, and exercises are provided online via Moodle.
In the second part, students work in teams and will use their knowledge from the first part of the lecture to develop a smartphone-based and chatbot-delivered health intervention with MobileCoach (www.mobile-coach.eu), an open‐source software platform for digital interventions and ecological momentary assessments. Each team will then present and discuss the resulting digital health intervention and evaluation results with their fellow students who will provide peer-reviews. Additional online coaching sessions are offered to support the teams with the design and evaluation of their digital health intervention, and with the preparation of their presentations.
Literature1. Collins, L. M. (2018) Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST) New York: Springer.
2. Corneta, V. P., and R. J. Holden (2018) Systematic Review of Smartphone‐Based Passive Sensing for Health and Wellbeing Journal of Biomedical Informatics (77:January), 120‐132.
3. Coravos, A., S. Khozin and K. D. Mandl (2019) Developing and Adopting Safe and Effective Digital Biomarkers to Improve Patient Outcomes Nature Digital Medicine 2 Paper 14.
4. Katz, D. L., E. P. Frates, J. P. Bonnet, S. K. Gupta, E. Vartiainen and R. H. Carmona (2018) Lifestyle as Medicine: The Case for a True Health Initiative American Journal of Health Promotion 32 (6), 1452‐1458.
5. Kowatsch, T., L. Otto, S. Harperink, A. Cotti and H. Schlieter (2019) A Design and Evaluation Framework for Digital Health Interventions it ‐ Information Technology 61(5‐6), 253‐263.
6. Kvedar, J. C., A. L. Fogel, E. Elenko and D. Zohar (2016) Digital medicineʹs march on chronic disease Nature Biotechnology 34 (3), 239‐246.
7. Michie, S., L. Yardley, R. West, K. Patrick and F. Greaves (2017) Developing an Evaluating Digital Interventions to Promote Behaviour Change in Health and Health Care: Recommendations Resulting From an International Workshop Journal of Medical Internet Research 19(6):e232.
8. Nahum‐Shani, I., S. N. Smith, B. J. Spring, L. M. Collins, K. Witkiewitz, A. Tewari and S. A. Murphy (2018) Just‐in‐Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support Annals of Behavioral Medicine 52 (6), 446‐462.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersT. Kowatsch
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationThe lecture is structured in two parts and follows the concept of a hybrid therapy consisting of live online sessions (which will be also recorded in Zoom) and complementary asynchronous online lessons. In the first part, students will learn and discuss the topics of the three learning modules in weekly online sessions. Complementary learning material, graded multiple‐choice questions, and exercises are provided online via Moodle.
In the second part, students work in teams and will use their knowledge from the first part of the lecture to develop a smartphone-based and chatbot-delivered health intervention with MobileCoach (www.mobile-coach.eu), an open‐source software platform for digital interventions and ecological momentary assessments. Each team will then present and discuss the resulting digital health intervention and evaluation results with their fellow students (graded performance) who will provide peer-reviews. Additional online coaching sessions are offered to support the teams with the design and evaluation of their digital health intervention, and with the preparation of their presentations.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Courses

NumberTitleHoursLecturers
363-1135-00 VDigital Health Project
The lecture takes place ONLINE via Zoom (recorded).
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Thu08-10ON LI NE »
T. Kowatsch

Groups

No information on groups available.

Restrictions

Places30 at the most
PriorityRegistration for the course unit is until 16.08.2020 only possible for the primary target group
Primary target groupComputer Science MSc (263000)
Management, Technology, and Economics MSc (363000)
MAS ETH in Management, Technology, and Economics (365000)
Management, Technology, and Economics (Mobility) (374000)
Health Sciences and Technology MSc (380000)
Waiting listuntil 27.09.2020
End of registration periodRegistration only possible until 24.09.2020

Offered in

ProgrammeSectionType
Management, Technology and Economics MasterElective CoursesWInformation
MAS in Management, Technology, and EconomicsElectives, 1. and 3. SemesterWInformation