TY  - JOUR
A1  - Gablonski, Thorsten-Christian
A1  - Pryss, Rüdiger
A1  - Probst, Thomas
A1  - Vogel, Carsten
A1  - Andreas, Sylke
T1  - Intersession-Online: A smartphone application for systematic recording and controlling of intersession experiences in psychotherapy
JF  - J — Multidisciplinary Scientific Journal
N2  - Mobile health technologies have become more and more important in psychotherapy research and practice. The market is being flooded by several psychotherapeutic online services for different purposes. However, mobile health technologies are particularly suitable for data collection and monitoring, as data can be recorded economically in real time. Currently, there is no appropriate method to assess intersession experiences systematically in psychotherapeutic practice. The aim of our project was the development of a smartphone application framework for systematic recording and controlling of intersession experiences. Intersession-Online, an iOS- and Android-App, offers the possibility to collect data on intersession experiences easily, to provide the results to therapists in an evaluated form and, if necessary, to induce or interrupt intersession experiences with the primary aim to improve outcome of psychotherapy. In general, the smartphone application could be a helpful, evidence-based tool for research and practice. Overall speaking, further research to investigate the efficacy of Intersession-Online is necessary.
KW  - intersession experiences
KW  - intersession processes
KW  - psychotherapy
KW  - mobile app
KW  - smartphone app
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-285597
SN  - 2571-8800
VL  - 2
IS  - 4
SP  - 480
EP  - 495
ER  - 
TY  - JOUR
A1  - Beierle, Felix
A1  - Schobel, Johannes
A1  - Vogel, Carsten
A1  - Allgaier, Johannes
A1  - Mulansky, Lena
A1  - Haug, Fabian
A1  - Haug, Julian
A1  - Schlee, Winfried
A1  - Holfelder, Marc
A1  - Stach, Michael
A1  - Schickler, Marc
A1  - Baumeister, Harald
A1  - Cohrdes, Caroline
A1  - Deckert, Jürgen
A1  - Deserno, Lorenz
A1  - Edler, Johanna-Sophie
A1  - Eichner, Felizitas A.
A1  - Greger, Helmut
A1  - Hein, Grit
A1  - Heuschmann, Peter
A1  - John, Dennis
A1  - Kestler, Hans A.
A1  - Krefting, Dagmar
A1  - Langguth, Berthold
A1  - Meybohm, Patrick
A1  - Probst, Thomas
A1  - Reichert, Manfred
A1  - Romanos, Marcel
A1  - Störk, Stefan
A1  - Terhorst, Yannik
A1  - Weiß, Martin
A1  - Pryss, Rüdiger
T1  - Corona Health — A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic
JF  - International Journal of Environmental Research and Public Health
N2  - Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, necessitates strict regulatory and legal requirements, and requires short development cycles to appropriately react to abrupt changes in the pandemic. Based on an existing app framework, we developed Corona Health, an app that serves as a platform for deploying questionnaire-based studies in combination with recordings of mobile sensors. In this paper, we present the technical details of Corona Health and provide first insights into the collected data. Through collaborative efforts from experts from public health, medicine, psychology, and computer science, we released Corona Health publicly on Google Play and the Apple App Store (in July 2020) in eight languages and attracted 7290 installations so far. Currently, five studies related to physical and mental well-being are deployed and 17,241 questionnaires have been filled out. Corona Health proves to be a viable tool for conducting research related to the COVID-19 pandemic and can serve as a blueprint for future EMA-based studies. The data we collected will substantially improve our knowledge on mental and physical health states, traits and trajectories as well as its risk and protective factors over the course of the COVID-19 pandemic and its diverse prevention measures.
KW  - mobile health
KW  - ecological momentary assessment
KW  - digital phenotyping
KW  - longitudinal studies
KW  - mobile crowdsensing
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-242658
SN  - 1660-4601
VL  - 18
IS  - 14
ER  -