App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?

Die Seite wird erstellt Silvester Ernst
 
WEITER LESEN
App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?
App auf Rezept: Was sind
                                     digitale Pillen und braucht es
                                     sie in der Psychotherapie?
Prof. Dr. Tobias Kowatsch

Assistant Professor for Digital Health, University of St.Gallen, Switzerland
Scientific Director, Centre for Digital Health Interventions, ETH Zurich & University of St.Gallen, Switzerland
Lead Principal Investigator, Mobile Health Interventions, Singapore-ETH Centre, Singapore
Partner, Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, USA
Member, Competence Centre for Rehabilitation Engineering and Science, ETH Zurich, Switzerland

Psychiatrische Universitätsklinik Zürich | 12. März 2021 | 11:00 – 12:30 Uhr
App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?
Who we are
               Center Leadership

                                               Assist. Prof. Dr. Tobias Kowatsch                      Advisory Board
                                               Olivia Clare Keller, MSc
                                               Matthias Heuberger, MA
                                                                                                                                                        Prof. Dr. Elgar Fleisch
                                                                                                                                                        Prof. Lisa A. Marsch, PhD
                                    Postdoctoral Researcher                                                                                             Prof. Dr. Urte Scholz
                                                                                                                                                        Prof. Dr. Florian v. Wangenheim

                                                                                                Dr. Filipe Barata, Head of AI & Digital Biomarker Research
                                                                                                Dr. med. Thomas Züger, Diabetes Technology
                                                                                                Jacqueline Mair, PhD, Behavioral and Exercise Sciences
                                                                                                Alicia Salamanca, PhD, Clinical Psychology
Doctoral Students

Alina        Aishah      Caterina       George        David        Christoph    Robert      Roman         Vera       Yanick       Marcia      Joseph     Dominik       Theresa      Gisbert   Jiali
Asisof       Alattas     Bérubé         Boateng       Cleres        Gross       Jakob       Keller      Lehmann      Lukic        Nißen        Ollier    Rüegger      Schachner     Teepe     Yao

          MobileCoach Team                         Student Research Assistants, Master & Bachelor Students

                                                                                                                                                                                    and
                                                                                                                                                                                    many
                                                                                                                                                                                    more…
         P. Santhanam      F. Schneider           S. Harperink      S. Ultsch   Aliena Mutter    Z. Kovac    T. Tarantini   M. Rauch        B. Frese    T. Stauffer     S. Jokić
         Software Engineer Software Engineer      St.Res.Assist.   MA Student    MA Student     MA Student   MA Student     MA Student     MA Student   MA Student     BA Student

          Folie 2 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                          © Universität St.Gallen und & ETH Zürich
App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?
What we do

                                          SNF                                                          Digital
       Future Health                                               CSS                                 Health /
                                         PEACH
       Technologies                     Personality              Health Lab                            Project
        Singapore                      Development                 Respiratory &
                                                                   Cardiavascular                                            CAS in
          Prevention of                                          Diseases & Mental                                        Digital Health
          Depression &                                                Health
                                                                                                                          for Executives
         Type-2 Diabetes                                                                                                    (coming in 2022)

                                Open-Source                                               Education
                                 Software
                                MobileCoach
   NIH
                                                                                                                   The
Sweetgoals
                                                            Research                                            Digital Pill
  USA                                                                                                             Book
    Type-1
   Diabetes              Open
                        Research                                                                Startups
                          Data

                                                                                                                            Resmonics
                                                                                                                             Respiratory
        InnoSuisse                     SNF                      SNF                                                          Conditions
           CAir                     HEADWIND                   DyMand                                      Pathmate
              COPD                      Type-1                   Type-2                Altoida              Chronic
                                                                Diabetes               Alzheimer            Disease
                                       Diabetes
                                                                                                             Coach

                                                                                                                                   … and much more

 Folie 3 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?         © Universität St.Gallen und & ETH Zürich
App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?
Our research partners

Folie 4 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?
Funding

Folie 5 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?
Wissen Sie schon was eine
    digitale Pille ist?

     Den Umfrage-Link finden
 Sie im Zoom-Chat oder hier:
App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?
Was sind digitale Pillen?

Digital Pillen sind digitale Gesundheitsanwendungen,
Web- oder App-basiert, welche entweder
verschreibungspflichtig sind („das ist ganz neu“) oder
frei bzw. käuflich erhältlich sind („das kennt jeder“).
App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?
Braucht es denn evidenzbasierte
 digitale Pillen aus Ihrer Sicht?

       Den Umfrage-Link finden
   Sie im Zoom-Chat oder hier:
App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?
App on Prescription in the U.S.

                                                                                                      December 2018

                                                                 Prescription Digital Therapeutics, or PDTs,
                                                                  are software-based disease treatments.
                                                                PDTs are designed to directly treat disease,
                                                                tested for safety and efficacy in randomized
                                                                  clinical trials, evaluated by the FDA, and
                                                                     prescribed by healthcare providers.

                                                                                                              https://peartherapeutics.com

Folie 9 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?
App on Prescription in Germany
 diga.bfarm.de/de

Folie 10 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
App on Prescription in Germany
 diga.bfarm.de/de

Folie 11 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
App on Prescription in Germany
 diga.bfarm.de/de

Folie 12 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
App on Prescription in Germany
 diga.bfarm.de/de

Folie 13 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
App on Prescription in Germany
 diga.bfarm.de/de

Folie 14 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
Example: deprexis
 https://diga.bfarm.de/de/verzeichnis/450

Folie 15 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
Ein Schritt zurück:
Vom fertigen Produkt in die Forschung.

Was könnte denn eine
digitale Wunsch-Pille leisten?
Anatomie einer digitalen Pille

                                                                                                                        Example

                                                Distal
                                                                           Quality of Life
                                               Outcome
Evidence-
  based
knowledge
                    Proximal                                                    Stress
                                        Physical activity                                               Diet Behavior
                    Outcomes                                                  management

                                                             Digital Pill
       1. Vulnerability                                   2. Receptivity                                    3. Support

Folie 17 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
Sensing & Support
                   for People with
                   Depression

https://www.c4dhi.org/projects/kti-moss/
Mobile Sensing and Support for People With
Depression: A Pilot Trial in the Wild

                                                                                                                           Wahle F, Kowatsch
                                                                                                                           T, Fleisch E, Rufer
                                                                                                                           M,Weidt S (2016)
                                                                                                                           Mobile Sensing and
                                                                                                                           Support for People
                                                                                                                           With Depression: A
                                                                                                                           Pilot Trial in the
                                                                                                                           Wild
                                                                                                                           JMIR Mhealth
                                                                                                                           Uhealth
                                                                                                                           2016;4(3):e111
                                                                                                                           doi: 10.2196/mhealt
                                                                                                                           h.5960

                                                                                                                           Note: cognitive
                                                                                                                           behavioral therapy
                                                                                                                           (CBT)

Folie 19 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
Sensing Stress at the Workplace
  with the help of a PC mouse
                          Objective
Development of an early warning system that is able to detect
       (chronic) stress, burnout or even depression
Visual Results of the lab experiment (N=18)

     Subject was relaxed (Square Task 1)                                                                                 Subject was stressed (Square Task 2)
                                                Kowatsch, T., Wahle, F., Filler, A., Design and Lab Experiment of a Stress Detection Service based on Mouse Movements,
                                         The 11th Mediterranean Conference on Information Systems (MCIS), Genoa, Italy ***Best Paper Award*** https://www.c4dhi.org/projects/jsiss/
Banholzer, N., Feuerriegel, S., Fleisch, E., Bauer, G., Kowatsch, T. (in press) Computer mouse movements as a scalable detector of work stress: A longitudinal observational field study, Journal of Medical Internet Research.

  Folie 21 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                                                © Universität St.Gallen und & ETH Zürich
Health literacy
                                            intervention for
                                            children with
                                            asthma

www.c4dhi.org/projects/health-literacy-children-asthma/
Interaction with MAX
                                                                                            Smartphone

                                                                                     Family Member

                                                                                                  SMS

                                                       SMS, phone call
                                                                                                                      face-to-face
                                                        or face-to-face

                                                                                                MAX
                                                                                        Digital Health
                                                                                          Assistant

                                                                                eMail            Chat with MAX

                                                  Asthma Expert                         App chat with expert
                                                                                                                           Patient
                                                    Web-based cockpit                     or face-to-face                 Mobile App

Folie 23 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?      © Universität St.Gallen und & ETH Zürich
Inhalation Assessment of Norah, 12
Informed consent was received from patient and parent to use video, name and age for presentation purposes

1. Video recording by family member                                                2. Expert rating              3. Feedback to Norah

                                                                                                                                1

                                                                                           +
                                                                                       Automated
                                                                                  feedback generation
                                                                                   based on inhalation
                                                                                       guidelines

Folie 24 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                © Universität St.Gallen und & ETH Zürich
Main results of the pilot study

1. The average adherence rate
   of 49 subjects was 80.4%.

2. The result of a pre-post test shows that asthma
   knowledge was improved significantly with a large
   effect size (d=0.9).

3. On average, 1 inhalation mistake was identified in
   each video clip; 3 serious inhalation mistakes could
   be directly addressed and eliminated by the experts’
   feedback in this trial.
Kowatsch, T., Schachner, T., Harperink, S., Barata, F., Dittler, U., Xiao, G., Stanger, C., Oswald, H., Fleisch, E., von Wangenheim, F., Möller, A. (2021) Conversational Agents as
Mediating Social Actors in Chronic Disease Management Involving Health Care Professionals, Patients, and Family Members: Multisite Single-Arm Feasibility Study, Journal
of Medical Internet Research (JMIR) 23(2):e25060 10.2196/25060.

Folie 25 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                       © Universität St.Gallen und & ETH Zürich
One asthma expert received a lovely “Thank You”
post card from a young patient after the intervention

Folie 26 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
One asthma expert received a lovely “Thank You”
post card from a young patient after the intervention

Folie 27 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
Den Umfrage-Link finden
Sie im Zoom-Chat oder hier:
Design of a prognostic
digital biomarker for
asthma control

https://www.c4dhi.org/projects/css-mobile-asthma-companion/
Overview of the asthma study with Clara

                                                          https://vimeo.com/258412196

Folie 30 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
Results of the study

Response rate to daily self-reported asthma control tests of 93 participants:
97.3% (2487 / 2557 self-reports)
Paper                                                                       N subjects               N coughs
Vizel et al. 2010                                                               12                      n/a
McGuiness et al. 2012                                                           10                      n/a
Casaseca-de-La-Higuera et al. 2015                                              9                       n/a
Monge-Alvarez et al. 2018                                                       13                      n/a
Swarnkar et al. 2013                                                             3                      342
Amoh et al. 2016                                                                14                      627
Birring et al. 2008                                                             15                     1.836
Barry et al. 2006                                                               15                     2.000
Amrulloh et al. 2015                                                            24                     2.090
Drugman et al. 2011                                                             22                     2.304
Liu et al. 2014                                                                 20                     2.549
Larson et al. 2011                                                              17                     2.558
Coyle et al. 2005                                                                8                     3.645
Klco et al. 2018                                                                18                     5.200
Kadambi et al 2018                                                               9                     5.670
Our Clara study                                                                > 77                   23.488

Folie 31 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
Cough Detection with Smartphones is Feasible

                                                                                             “This research represents a
                                                                                            step towards enabling passive
https://www.jmir.org/2020/7/e18082/                                                         and scalable cough monitoring
                                                                                               for adults with asthma.”

see also…
Tinschert, P., Rassouli, F., Barata, F., Steurer-Stey, C., Fleisch, E., Puhan, M., Kowatsch, T., Brutsche, M. (2020) Nocturnal cough and sleep quality
    to assess asthma control and predict attacks, Journal of Asthma and Allergy 13, 669-678 10.2147/JAA.S278155.
Rassouli, F., Tinschert, P., Barata, F., Steurer-Stey, C., Fleisch, E., Puhan, M., Baty, F., Kowatsch, T., Brutsche, M. (2020) Characteristics of Asthma-
    related Nocturnal Cough: A Potential New Digital Biomarker, Journal of Asthma and Allergy 13, 649—657 10.2147/JAA.S278119 .

Folie 32 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                  © Universität St.Gallen und & ETH Zürich
Using Car Sensor Data to Predict Hypoglycemia
 The “healing” car

                                       Hey Mercedes,
                                      make it cooler and
                                       play my music!

                                                                        Hey Joe, I recommend
                                                                         you to take in some
                                                                              glucose!

                                                                                                                                                                           Source: youtu.be/sgF4jj2FGlw
                          Sinergia

                                                                                                             Mercedes text was developed with a type-1 diabetes patient.
 https://voicebot.ai/2019/02/04/mercedes-focuses-entire-super-bowl-ad-around-hey-mercedes-voice-assistant/

Folie 33 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                 © Universität St.Gallen und & ETH Zürich
Increasing adherence to
       home exercises in chronic
Alex
       back pain patients

       https://www.c4dhi.org/projects/digital-physiotherapy-coaching-with-alex/
Overview of the blended treatment with Alex

           Kowatsch, T., Lohse, K.M., Erb, V., Schittenhelm, L., Galliker, H., Lehner, R., Huang, E.M. (2021) Hybrid Ubiquitous Coaching With a Novel Combination of Mobile and Holographic
                Conversational Agents Targeting Adherence to Home Exercises: 4 Design and Evaluation Studies, Journal of Medical Internet Research, 23(2):e23612, 10.2196/23612

Folie 35 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                                 © Universität St.Gallen und & ETH Zürich
Participant performing the squat exercise while
wearing the augmented reality hardware.

      Kowatsch, T., Lohse, K.M., Erb, V., Schittenhelm, L., Galliker, H., Lehner, R., Huang, E.M. (2021) Hybrid Ubiquitous Coaching With a Novel Combination of Mobile and Holographic
           Conversational Agents Targeting Adherence to Home Exercises: 4 Design and Evaluation Studies, Journal of Medical Internet Research, 23(2):e23612, 10.2196/23612

Folie 36 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                                   © Universität St.Gallen und & ETH Zürich
Results from a lab experiment (N=15) &
          4-week intervention in the field (N=1)

          3 modes of
          instructions

                                                 Alex (Augmented Reality)                                       Video                                            Paper

          1. What is your preferred                        2. Session Alliance Inventory                                3. Four-week intervention study (N=1)
             mode of instruction?
                                                           Completely    7
                                                                                                                        Goal: 3 sessions per week for 4 weeks
                              8                                          6
          Number of answers

                                  6                                      5                                              Adherence: 92% (11 of 12 sessions)
                                                                         4
                                                                                                                        Feedback: Intention to continue working
                                                                         3
                                                                                                                        with Alex
                                          1                              2
                                                            Not at all   1

naR dn2                               knaR ts1
                                                                                       Alex                             Kowatsch, T., Lohse, K.M., Erb, V., Schittenhelm, L., Galliker, H., Lehner, R.,
                                                                                                                        Huang, E.M. (2021) Hybrid Ubiquitous Coaching With a Novel
                                                                         Error bar indicates 95% confidence interval    Combination of Mobile and Holographic Conversational Agents
                                                                                                                        Targeting Adherence to Home Exercises: 4 Design and Evaluation
                                                                                                                        Studies, Journal of Medical Internet Research, 23(2):e23612, 10.2196/23612

          Folie 37 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                 © Universität St.Gallen und & ETH Zürich
Results from the 4-week
intervention in the field (N=1)

Box plot of the exercise execution errors during the 4 weeks. The number of errors was aggregated for each week.

      Kowatsch, T., Lohse, K.M., Erb, V., Schittenhelm, L., Galliker, H., Lehner, R., Huang, E.M. (2021) Hybrid Ubiquitous Coaching With a Novel Combination of Mobile and Holographic
           Conversational Agents Targeting Adherence to Home Exercises: 4 Design and Evaluation Studies, Journal of Medical Internet Research, 23(2):e23612, 10.2196/23612

Folie 38 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                                   © Universität St.Gallen und & ETH Zürich
Ally
The Assistant to Lift Your Level of
Activity

 https://www.c4dhi.org/projects/ally-a-digital-assistant-to-lift-your-level-of-activity/
63% of push notifications
 are sent at the wrong time

                                                                                                 “Most push notifications are
                                                                                                 being sent and not opened,
                                                                                                 because they arrive at the
                                                                                                 wrong time, according to
                                                                                                 Leanplum’s research. It
                                                                                                 examined more than
                                                                                                 671,500,000 push
                                                                                                 notifications sent during
                                                                                                 2015, and found 63% were
                                                                                                 sent at a time when they
                                                                                                 were less likely to be
                                                                                                 opened.”
                                                                                                 www.businessofapps.com/63-of-push-notifications-
                                                                                                 are-sent-at-the-wrong-time

  https://www.accengage.com/benchmark-opt-in-and-reaction-rates-of-push-notifications-and-in-app-messages-for-mobile-apps-2018-edition/

Folie 40 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?            © Universität St.Gallen und & ETH Zürich
The Ally App

 Kramer, J., Künzler, F., Mishra, V., Smith, S.N., Kotz, D.F., Scholz, U., Fleisch, E., Kowatsch, T. (2020) Which Components of a Smartphone Walking App Help Users to Reach
 Personalized Step Goals? Results from an Optimization Trial, Annals of Behavioral Medicine, 10.1093/abm/kaaa002.

Folie 41 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                   © Universität St.Gallen und & ETH Zürich
Results from the Ally Study
(274 participants, 6 weeks, random notifications)

Positive effect on …
a) response rate (within 10min)                                                              b) response delay

                                                                                                               Weekend: after 6pm
               10am-6pm
                                                                                                               Weekday: 10am-6pm

               Unplugged                                                                                        Home

               Unlocked                                                                                         Unplugged

               Walking                                                                                          Walking

    Künzler, F., Mishra, V., Kramer, J., Kotz, D.F., Fleisch, E., Kowatsch, T. (2019) Exploring the State-of-Receptivity for mHealth Interventions, Proceedings of the
                            ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 3(4): Paper 140 10.1145/3369805.

Folie 42 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                              © Universität St.Gallen und & ETH Zürich
Ally 2.0 USA (N=83, 3 weeks)

                                                                                             Just-in-time response rate:
                                                                                             Percentage of users
                                                                                             responding to a notification
                                                                                             within 10 minutes.

   Mishra, V., Künzler, F., Kramer, J., Fleisch, E., Kowatsch, T., Kotz, D.F. (2020) Detecting Receptivity for mHealth Interventions in the Natural
                                                      Environment, Preprint arXiv arXiv:2011.08302.

Folie 43 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?               © Universität St.Gallen und & ETH Zürich
Prof. Dr. Mathias Allemand
Prof. Dr. Christoph Flückiger
   Psychologists, Zurich University

                                      https://www.c4dhi.org/projects/snf-personality-change/
PEACH – Personality Coach

  Stieger, M., Nißen, M.K., Rüegger, D., Kowatsch, T., Flückiger, C., Allemand, M. (2019) PEACH, a smartphone- and conversational agent-based coaching intervention for intentional
                                 personality change: study protocol of a randomized, wait-list controlled trial, BMC Psychology 6(43), pp. 1-15. [PDF]

Folie 45 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                  © Universität St.Gallen und & ETH Zürich
“Strongest evidence to date”: PEACH Study
10-week intervention results (self-assessments)

                         Stieger, M., Flückiger, C., Rüegger, D., Kowatsch, T., Roberts, B.W., Allemand, M. (2021) Changing Personality Traits with the Help of a
                         Digital Personality Change Intervention, Proceedings of the National Academy of Sciences of the United States of America (PNAS)
                         18(8):e2017548118 10.1073/pnas.2017548118 (Preprint: 10.31234/osf.io/sur2j)

Folie 46 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                    © Universität St.Gallen und & ETH Zürich
Breeze: A Playful
                 Biofeedback Breathing
                 Training for Mental and
                 Physical Well-being

https://www.c4dhi.org/projects/breeze/
A Playful Smartphone-based Self-regulation
Training for the Prevention and Treatment of
Child and Adolescent Obesity

  Kowatsch, T., Shih, I., Lukic, Y., Keller, O., Heldt, K., Durrer, D., Stasinaki, A., Büchter, D., Brogle, B., Farpour-Lambert, N., l’Allemand, D. (in press) A Playful Smartphone-based Self-regulation Training for the
  Prevention and Treatment of Child and Adolescent Obesity: Technical Feasibility and Perceptions of Young Patients, 1st Workshop on Healthy Interfaces (HEALTHI), collocated with the 26th ACM Annual
                                              Conference on Intelligent User Interfaces (IUI) – Where HCI meets AI, Virtually Hosted by Texas A&M University, April 13-17, 2021

Folie 48 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                                                © Universität St.Gallen und & ETH Zürich
Perceptions of 11 Young Children
and Adolescents with Obesity

  Kowatsch, T., Shih, I., Lukic, Y., Keller, O., Heldt, K., Durrer, D., Stasinaki, A., Büchter, D., Brogle, B., Farpour-Lambert, N., l’Allemand, D. (in press) A Playful Smartphone-based Self-regulation Training for the
  Prevention and Treatment of Child and Adolescent Obesity: Technical Feasibility and Perceptions of Young Patients, 1st Workshop on Healthy Interfaces (HEALTHI), collocated with the 26th ACM Annual
                                              Conference on Intelligent User Interfaces (IUI) – Where HCI meets AI, Virtually Hosted by Texas A&M University, April 13-17, 2021

Folie 49 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                                                © Universität St.Gallen und & ETH Zürich
Breeze

                                                                                       Lukic, Y., Shih, I., Hernández, Á., Cotti, A.,
                                                                                       Fleisch, E., Kowatsch, T. (2021) Physiological
                                                                                       Responses and User Feedback on a
                                                                                       Gameful Breathing Training App: Within-
                                                                                       Subject Experiment, JMIR Serious Games
                                                                                       2021;9(1):e22802 10.2196/22802.

                                                                                       Shih, I., Tomita, N., Lukic, Y., Hernández, Á.,
                                                                                       Fleisch, E., Kowatsch, T. (2019) Breeze:
                                                                                       Smartphone-based Acoustic Real-time
                                                                                       Detection of Breathing Phases for a
                                                                                       Gamified Biofeedback Breathing Training,
                                                                                       Proceedings of the ACM on Interactive, Mobile,
                                                                                       Wearable and Ubiquitous Technologies
                                                                                       (IMWUT) 3(4): Paper 152. 10.1145/3369835

Folie 50 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?           © Universität St.Gallen und & ETH Zürich
Breeze: First results of the slow-paced
 breathing training (Lab study, N=3/16)

   Shih, I., Tomita, N., Lukic, Y., Hernández, Á., Fleisch, E., Kowatsch, T. (2019) Breeze: Smartphone-based Acoustic Real-time Detection of Breathing Phases for a Gamified
        Biofeedback Breathing Training, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 3(4): Paper 152. 10.1145/3369835

Folie 51 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                   © Universität St.Gallen und & ETH Zürich
Elena+, Care for COVID-19

                                          30+ Volunteers

                                      Elena+ Care for COVID-19:
                                  A pandemic lifestyle care intervention
                                         https://youtu.be/cRPKGbNcCnw

                                                                                         Screencast
                                                                                  https://vimeo.com/412004844

                                          The Team’s Story
                                       https://youtu.be/ajDa9qnqnPU

www.elena.plus                                                          Elena+ inspired by Elena Pagliarini

Folie 52 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                   © Universität St.Gallen und & ETH Zürich
Und nochmals zur Erinnerung:
Anatomie einer „idealen“ digitalen Pille

                                                                                                                        Example

                                                Distal
                                                                           Quality of Life
                                               Outcome
Evidence-
  based
knowledge
                    Proximal                                                    Stress
                                        Physical activity                                               Diet Behavior
                    Outcomes                                                  management

                                                             Digital Pill
       1. Vulnerability                                   2. Receptivity                                    3. Support

Folie 53 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
Vor dem Hintergrund des Gesagten:
Braucht es denn evidenzbasierte digitale
      Pillen aus Ihrer Sicht jetzt?

        Den Umfrage-Link finden
    Sie im Zoom-Chat oder hier:
Are mobile apps for mental health effective?

“Effect sizes for single trials ranged from g = −0.05 to 0.14 for PTSD
and g = 0.72 to 0.84 for insomnia. Although some trials showed potential
of apps targeting mental health symptoms, using smartphone apps as
standalone psychological interventions cannot be recommended based
on the current level of evidence.” https://doi.org/10.1038/s41746-019-0188-8

Folie 55 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
How about extremely popular mental health apps?
Teepe et al. (manuscript in preparation)

                                                              …
Folie 56 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
How about extremely popular mental health apps?
Teepe et al. (manuscript in preparation)

                                                                                                               !

                                                Teepe et al (manuscript in preparation)

Folie 57 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
Try it out:
BLV MySwissFoodPyramid & Sanitas Coach

Folie 58 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
Braucht es denn evidenzbasierte
digitale Pillen in der Psychotherapie?

       Den Umfrage-Link finden
   Sie im Zoom-Chat oder hier:
Wo könnten digitale Pillen in der
Psychotherapie am sinnvollsten
     eingesetzt werden?

    Den Umfrage-Link finden
Sie im Zoom-Chat oder hier:
Haben Sie weitere Ideen, wie evidenzbasierte digitale
Pillen am sinnvollsten in der Psychotherapie eingesetzt
 werden könnten? Dann schreiben Sie diese bitte jetzt
            gerne in einem kurzen Satz auf.

           Den Umfrage-Link finden
       Sie im Zoom-Chat oder hier:
Die Teilnehmer haben geantwortet…
1.   Um z.B. bei Essstoerungen Ausloeser zu identifizieren
2.   manualisierte Therapien für Patienten, die aus sprachlichen Gründen keine Psychotherapie im
     Wohnort machen können
3.    Psychoedukative Informationen
4.    Erreichen von Patienten in Regionen mit Versorgungsproblemen (z.B. auf dem Land)
5.    präventive Apps für Schüler, wo Mental Gesundheit & Quality of Life erfasst und gleichzeitig Hilfen
      aktiviert werden ....
      Dies v.a. weil ein nicht unbeträchtlicher Teil der Schüler (v.a. mit interner Symptomatik) schlicht
      nicht wahrgenommen wird, wenn er/sie Probleme im Bereich von Mental Health hat ...
      ... evtl. dann mit Aktivierung auch von Schul-gebundenen Personal ....
      ... oder auch Apps, die Familien in Kommunikation über das Thema bringt .... wären toll
6.    Sinnvoll wäre eine Evaluation der digitalen Affinität von Patienten vor einer "digitalen Pille"
7.    Alkohol Intoxikation überwachen, Warnung bei gesteigerte Affektivität ==> Gewaltschutz
8.    Blended approach in Ergänzung zu regulärer Psychotherapie um die zeitliche Interaktion und
      durchgeführte konkrete Übungen für den Patienten zu erhöhen - am besten mit natürlichem
      Chatbot.
9.    Konsumtagegebuch, Symptomtagebuch, Erinnerungsfunktionen für Interventionen (z.B.
      Medikamenteneinnahme), Psychoedukation to-go
10.   Suizidalität
11.   Social Networking
12.   Bessere Ästhetik.
13.   Physiotherapeutische Motivation bei Depression
14.   Vernetzung mit anderen Betroffenen
Psychiatry in the Digital Age
 Aref-Adib, G., McCloud, T., Ross, J., O'Hanlon, P., Appleton, V., Rowe, S., . . . Lobban, F. (2019). Factors affecting
   implementation of digital health interventions for people with psychosis or bipolar disorder, and their family and
   friends: a systematic review. The Lancet Psychiatry, 6(3), 257-266. doi:10.1016/S2215-0366(18)30302-X
 Graham, A. K., Lattie, E. G., & Mohr, D. C. (2019). Experimental Therapeutics for Digital Mental Health. JAMA Psychiatry,
   76(12), 1223–1224. doi:10.1001/jamapsychiatry.2019.2075
 Grover, S., Nguyen, J. A., Viswanathan, V., & Reinhart, R. M. G. (2021). High-frequency neuromodulation improves
   obsessive–compulsive behavior. Nature Medicine, 27(2), 232-238. doi:10.1038/s41591-020-01173-w
 Hariman, K., Ventriglio, A., & Bhugra, D. (2019). The Future of Digital Psychiatry. Curr Psychiatry Rep, 21(9), 88.
   doi:10.1007/s11920-019-1074-4
 Marshall, J. M., Dunstan, D. A., & Bartik, W. (2020). Smartphone psychology: New approaches towards safe and
   efficacious mobile mental health apps. Professional Psychology: Research and Practice, 51(3), 214-222.
   doi:10.1037/pro0000278
 Wasil, A. R., Venturo-Conerly, K. E., Shingleton, R. M., & Weisz, J. R. (2019). A review of popular smartphone apps for
  depression and anxiety: Assessing the inclusion of evidence-based content. Behav Res Ther, 123, 103498.
  doi:10.1016/j.brat.2019.103498
 Wasil, A. R., Gillespie, S., Patel, R., Petre, A., Venturo-Conerly, K. E., Shingleton, R. M., . . . DeRubeis, R. J. (2020).
  Reassessing evidence-based content in popular smartphone apps for depression and anxiety: Developing and
  applying user-adjusted analyses. J Consult Clin Psychol, 88(11), 983-993. doi:10.1037/ccp0000604
 Weisel, K. K., Fuhrmann, L. M., Berking, M., Baumeister, H., Cuijpers, P., & Ebert, D. D. (2019). Standalone smartphone
  apps for mental health—a systematic review and meta-analysis. npj Digital Medicine, 2(1), 118. doi:10.1038/s41746-
  019-0188-8
 Wilhelm, S., Weingarden, H., Ladis, I., Braddick, V., Shin, J., & Jacobson, N. C. (2020). Cognitive-Behavioral Therapy in the
   Digital Age: Presidential Address. Behavior Therapy, 51(1), 1-14. doi:https://doi.org/10.1016/j.beth.2019.08.001
 Wright, J. H., Mishkind, M., Eells, T. D., & Chan, S. R. (2019). Computer-Assisted Cognitive-Behavior Therapy and Mobile
   Apps for Depression and Anxiety. Curr Psychiatry Rep, 21(7), 62. doi:10.1007/s11920-019-1031-2

Folie 63 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?   © Universität St.Gallen und & ETH Zürich
Prof. Dr. Tobias Kowatsch

  Assistant Professor for Digital Health, University of St.Gallen, Switzerland
  Scientific Director, Centre for Digital Health Interventions, ETH Zurich & University of St.Gallen, Switzerland
  Lead Principal Investigator, Mobile Health Interventions, Singapore-ETH Centre, Singapore
  Partner, Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, USA
  Member, Competence Centre for Rehabilitation Engineering and Science, ETH Zurich, Switzerland

  www.c4dhi.org | www.mobile-coach.eu | tobias.Kowatsch@unisg.ch

Folie 64 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?          © Universität St.Gallen und & ETH Zürich
Further references
 Alpaydin, E. (2017). Machine Learning: The New AI. Cambridge, MA: MIT Press.
 Bauer, U. E., Briss, P. A., Goodman, R. A., & Bowman, B. A. (2014). Prevention of chronic disease in the 21st century: elimination of the leading preventable causes of premature death and disability
      in the USA. The Lancet, 384(9937), 45-52.
 Brennan, P., Perola, M., van Ommen, G.-J., & Riboli, E. (2017). Chronic disease research in Europe and the need for integrated population cohorts. Europen Journal of Epidemiology, 32(9), 741-749.
 Géron, A. (2017). Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques for Building Intelligent Systems. Boston, MA: O'Reilly.
 Gerteis, J., Izrael, D., Deitz, D., LeRoy, L., Ricciardi, R., Miller, T., & Basu, J. (2014). Multiple Chronic Conditions Chartbook. AHRQ Publications No, Q14-0038. Rockville, MD: Agency for Healthcare
      Research and Quality.
 Hauser-Ulrich, S., Künzli, H., Meier-Peterhans, D., Kowatsch, T. (in press) A Smartphone-based Healthcare Chatbot to Promote Self-Management of Chronic Pain (SELMA): A Pilot Randomized
      Control Trial, JMIR Mhealth Uhealth.
 Katz, D. L., Frates, E. P., Bonnet, J. P., Gupta, S. K., Vartiainen, E., & Carmona, R. H. (2017). Lifestyle as Medicine: The Case for a True Health Initiative. American Journal of Health Promotion, First
      Published May 19, 2017.
 Kramer, J., Künzler, F., Mishra, V., Smith, S.N., Kotz, D.F., Scholz, U., Fleisch, E., Kowatsch, T. (in press) Which Components of a Smartphone Walking App Help Users to Reach Personalized Step
      Goals? Results from an Optimization Trial, Annals of Behavioral Medicine.
 Künzler, F., Kramer, J., & Kowatsch, T. (2017). Efficacy of Mobile Context-aware Notification Management Systems: A Systematic Literature Review and Meta-Analysis. Paper presented at the IEEE
      13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Rome, Italy.
 Künzler, F., Mishra, V., Kramer, J., Kotz, D.F., Fleisch, E., Kowatsch, T. (2019) Exploring the State-of-Receptivity for mHealth Interventions, Proceedings of the ACM on Interactive, Mobile, Wearable
      and Ubiquitous Technologies (IMWUT) 3(4): Paper 140.
 Kowatsch, T., Fischer-Taeschler, D., Putzing, F., Bürki, P., Stettler, C., Chiesa-Tanner, G., & Fleisch, E. (2019). Die digitale Pille für chronische Krankheiten. In M. Pfannstiel, P. Da-Cruz, & H. Mehlich
      (Eds.), Digitale Transformation von Dienstleistungen im Gesundheitswesen. Heidelberg, Germany: Springer, 205-231.
 Kowatsch, T., Otto, L., Harperink, S., Cotti, A., Schlieter, H. (2019) A Design and Evaluation Framework for Digital Health Interventions, it – Information Technology 2019; 61(5-6): 253-263.
 Kowatsch, T., Harperink, S., Dittler, U., Xiao, G., Stanger, C., Oswald, H., Möller, A. (2019) A digital assistant for healthcare providers targeting 10 to 15-year-old patients with asthma and their family:
      results from a pilot study, Abstract published by the Center for Digital Health Interventions, ETH Zurich & University of St.Gallen.
 Kvedar, J. C., Fogel, A. L., Elenko, E., & Zohar, D. (2016). Digital medicine’s march on chronic disease. Nature Biotechnology, 34(3), 239-246.
 Khan, W. Z., Xiang, Y., Aalsalem, M. Y., & Arshad, Q. (2013). Mobile Phone Sensing Systems: A Survey. IEEE Communications Surveys & Tutorials, 15(1), 402-427.
 Lane, N. D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., & Campbell, A. T. (2010). A Survey of Mobile Phone Sensing. IEEE Communications Magazine, 48(9), 140-150.
 Nahum-Shani, I., Hekler, E. B., & Spruijt-Metz, D. (2015). Building Health Behavior Models to Guide the Development of Just-in-Time Adaptive Interventions: A Pragmatic Framework. Health
      Psychology, 34(Supplement), 1209-1219.
 Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (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.
 Rhyner, D., Loher, H., Dehais, J., Anthimopoulos, M., Shevchik, S., Botwey, R. H., . . . Mougiakakou, S. (2016). Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of
      Individuals With Type 1 Diabetes Mellitus: A Comparative Study. Journal of medical Internet research, 18(5), e101.
 Ryder, B., Gahr, B., Egolf, P., Dahlinger, A., & Wortmann, F. (2017). Preventing traffic accidents with in-vehicle decision support systems - The impact of accident hotspot warnings on driver
      behaviour. Decision Support Systems, 99, 64-74.
 Schembre, S. M., Liao, Y., Robertson, M. C., Dunton, G. F., Kerr, J., Haffey, M. E., . . . Hicklen, R. S. (2018). Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and
      Practical Design Framework. Journal of medical Internet research, 20(3), e106.
 Shih, I., Tomita, N., Lukic, Y., Hernández, Á., Fleisch, E., Kowatsch, T. (2019) Breeze: Smartphone-based Acoustic Real-time Detection of Breathing Phases for a Gamified Biofeedback Breathing
      Training, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 3(4): Paper 152.
 Sim, I. (2019). Mobile Devices and Health. The New England Journal of Medicine, 381(10), 956-968.
 Stone, A. A., & Shiffman, S. (1994). Ecological momentary assessment (EMA) in behavioral medicine. Annals of Behavioral Medicine, 16(3), 199-202.
 Triantafyllidis, A. K., Velardo, C., Salvi, D., Shah, S. A., Koutkias, V. G., & Tarassenko, L. (2017). A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare.
      IEEE Journal of Biomedical and Health Informatics, 21(1), 218-227.
 Wahle, F., Kowatsch, T., Fleisch, E., Rufer, M., & Weidt, S. (2016). Mobile Sensing and Support for People with Depression: A Pilot Trial in the Wild. JMIR mHealth uHealth, 4(3), e111.
 Wang, R., Chen, F., Chen, Z., Li, T., Harari, G., Tignor, S., . . . Campbell, A. T. (2014). StudentLife: assessing mental health, academic performance and behavioral trends of college students using
      smartphones. Paper presented at the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '14), Seattle, Washington.

Folie 65 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                                         © Universität St.Gallen und & ETH Zürich
Additional Glossary (Sim 2019, p. 957)
 Decentralized clinical trials: Trials executed through telemedicine, mobile health, or local health care providers, with the use of procedures such as virtual
 recruitment, investigational products shipped directly to participants, or smartphone-based outcomes assessment.
 Digital biomarkers: Physiological and behavioral measures collected by means of digital devices such as portables, wearables, implantables, or digestibles that
 characterize, influence, or predict health-related outcomes.
 Digital diagnostics: The application of wearable and ambient sensors, mobile apps, social media, and location-tracking technology singly or in combination to
 diagnose medical conditions.
 Digital patient experience: The sum of online interactions that a patient has with a health care organization on web- sites, mobile devices, or wearables across
 all touchpoints and phases of care.
 Digital therapeutics: Interventions that use wearable and ambient sensors, mobile apps, social media, and location- tracking technology independently or in
 conjunction with medications, devices, or other therapies to improve patient care and health outcomes.
 Ecologic momentary assessment: An approach that involves repeated sampling of persons’ current behaviors and experiences in real time, in these persons’
 natural environments.
 Food and Drug Administration (FDA) approval: FDA approval is given to class III medical devices that pass a premarket approval process to “demonstrate
 that the device is safe and effective when used.” Class III medical devices are ones that pose the highest risk. They “sustain or support life, are implanted, or
 present potential high risk of illness or injury.”
 FDA clearance: Class I or II medical devices pose minimal or moderate risk of harm. Unlike class III devices, they are not required to undergo premarket
 approval. FDA clearance can be obtained through the premarket notification, or 510(k), process to “demonstrate that the device is substantially equivalent to a
 device already placed into one of the three device classifications before it is marketed.”
 Internet of Things: The network of everyday physical objects that are embedded with sensors and software that are inter- connected and can exchange data
 through the Internet.
 Medical device: According to the Food, Drug, and Cosmetic Act, a medical device is “an instrument ... or other similar or related article [that is] intended for use
 in the diagnosis of disease or other conditions, or in the cure, mitigation, treatment, or prevention of disease ... and which does not achieve any of its primary
 intended purposes through chemical action within or on the body ... and which is not dependent upon being metabolized for the achievement of any of its primary
 intended purposes.”
 Metadata: Data that describe and give information about other data — for example, the author of a document, the size of an image, or the device that generated
 a reading.
 Mobile health: The application of wearable and ambient sensors, mobile apps, social media, and location-tracking technology singly or in combination to obtain
 data pertinent to wellness and disease diagnosis, prevention, and management.
 Patient-generated health data: Health-related data that are created, recorded, or gathered by or from patients.
 Patient-reported outcome: A report of the status of a patient’s health condition that comes directly from the patient.
 Software as a medical device: Software that is intended to be used for medical purposes and that performs these purposes without being part of a hardware
 medical device.

Folie 66 | App auf Rezept: Was sind digitale Pillen und braucht es sie in der Psychotherapie?                                     © Universität St.Gallen und & ETH Zürich
Sie können auch lesen