Now showing 1 - 3 of 3
  • Publication
    Text-based Healthcare Chatbots Supporting Patient and Health Professional Teams: Preliminary Results of a Randomized Controlled Trial on Childhood Obesity
    ( 2017-08-27) ;
    Nißen, Marcia
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    Shih, Chen-Hsuan Iris
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    Rüegger, Dominik
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    ; ;
    Künzler, Florian
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    Barata, Filipe
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    Büchter, Dirk
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    Brogle, Björn
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    Heldt, Katrin
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    Gindrat, Pauline
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    Farpour-Lambert, Nathalie
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    l’Allemand, Dagmar
    Health professionals have limited resources and are not able to personally monitor and support patients in their everyday life. Against this background and due to the increasing number of self-service channels and digital health interventions, we investigate how text-based healthcare chatbots (THCB) can be designed to effectively support patients and health professionals in therapeutic settings beyond on-site consultations. We present an open source THCB system and how the THCP was designed for a childhood obesity intervention. Preliminary results with 15 patients indicate promising results with respect to intervention adherence (ca. 13.000 conversational turns over the course of 4 months or ca. 8 per day and patient), scalability of the THCB approach (ca. 99.5% of all conversational turns were THCB-driven) and over-average scores on perceived enjoyment and attachment bond between patient and THCB. Future work is discussed.
  • Publication
    Design and Evaluation of a Mobile Chat App for the Open Source Behavioral Health Intervention Platform MobileCoach
    (Springer International Publishing - Springer, 2017) ; ;
    Shih, Iris
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    Rüegger, Dominik
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    Künzler, Florian
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    Barata, Filipe
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    Büchter, Dirk
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    Brogle, Björn
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    Heldt, Katrin
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    Gindrat, Pauline
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    Farpour-Lambert, Nathalie
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    l’Allemand, Dagmar
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    Maedche, Alexander
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    vom Brocke, Jan
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    Hevner, Alan
    The open source platform MobileCoach (mobile-coach.eu) has been used for various behavioral health interventions in the public health context. However, so far, MobileCoach is limited to text message-based interactions. That is, participants use error-prone and laborious text-input fields and have to bear the SMS costs. Moreover, MobileCoach does not provide a dedicated chat channel for individual requests beyond the processing capabilities of its chatbot. Intervention designers are also limited to text-based self-report data. In this paper, we thus present a mobile chat app with pre-defined answer options, a dedicated chat channel for patients and health professionals and sensor data integration for the MobileCoach platform. Results of a pretest (N = 11) and preliminary findings of a randomized controlled clinical trial (N = 14) with young patients, who participate in an intervention for the treatment of obesity, are promising with respect to the utility of the chat app.
    Scopus© Citations 54
  • Publication
    Therapy Adherence of Obese Children in a 6-Month High-Frequency Intervention
    ( 2017-12-04)
    Shih, Iris
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    Rüegger, Dominik
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    Künzler, Florian
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    Barata, Filipe
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    Büchter, Dirk
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    Brogle, Björn
    ;
    Heldt, Katrin
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    Gindrat, Pauline
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    Farpour-Lambert, Natalie
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    l'Allemand, Dagmar
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    Non communicable diseases (NCDs) the greatest global burden. Health personnel is strongly limited to address NCDs satisfactory and thus, scalable, cost- efficient and evidence-based digital health interventions are required. This research investigates how to increase therapy adherence with a digital coach in the everyday life of patients.