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Innovative ICT solutions to improve treatment outcomes for depression: the ICT4Depression project

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

Innovative ICT solutions to improve treatment outcomes for depression: the ICT4Depression project. / Warmerdam, Lisanne; Riper, Heleen; Klein, Michel et al.
In: Studies in Health Technology and Informatics, Vol. 181, 2012, p. 339-343.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Warmerdam, L, Riper, H, Klein, M, van den Ven, P, Rocha, A, Ricardo Henriques, M, Tousset, E, Silva, H, Andersson, G & Cuijpers, P 2012, 'Innovative ICT solutions to improve treatment outcomes for depression: the ICT4Depression project', Studies in Health Technology and Informatics, vol. 181, pp. 339-343. https://doi.org/10.3233/978-1-61499-121-2-339

APA

Warmerdam, L., Riper, H., Klein, M., van den Ven, P., Rocha, A., Ricardo Henriques, M., Tousset, E., Silva, H., Andersson, G., & Cuijpers, P. (2012). Innovative ICT solutions to improve treatment outcomes for depression: the ICT4Depression project. Studies in Health Technology and Informatics, 181, 339-343. https://doi.org/10.3233/978-1-61499-121-2-339

Vancouver

Warmerdam L, Riper H, Klein M, van den Ven P, Rocha A, Ricardo Henriques M et al. Innovative ICT solutions to improve treatment outcomes for depression: the ICT4Depression project. Studies in Health Technology and Informatics. 2012;181:339-343. doi: 10.3233/978-1-61499-121-2-339

Bibtex

@article{36e23deb28da48b7b91917e4f746ed8e,
title = "Innovative ICT solutions to improve treatment outcomes for depression: the ICT4Depression project",
abstract = "Depression is expected to be the disorder with the highest disease burden in high-income countries by the year 2030. ICT4Depression (ICT4D) is a European FP7 project, which aims to contribute to the alleviation of this burden by making use of depression treatment and ICT innovations. In this project we developed an ICT-based system for use in primary care that aims to improve access as well as actual care delivery for depressed adults. Innovative technologies within the ICT4D system include 1) flexible self-help treatments for depression, 2) automatic assessment of the patient using mobile phone and web-based communication 3) wearable biomedical sensor devices for monitoring activities and electrophysiological indicators, 4) computational methods for reasoning about the state of a patient and the risk of relapse (reasoning engine) and 5) a flexible system architecture for monitoring and supporting people using continuous observations and feedback via mobile phone and the web. The general objective of the ICT4D project is to test the feasibility and acceptability of the ICT4D system within a pilot study in the Netherlands and in Sweden during 2012 and 2013.",
keywords = "Health sciences, eMental health, ICT, Psychology, depression, mobile phone, self-help",
author = "Lisanne Warmerdam and Heleen Riper and Michel Klein and {van den Ven}, Pepijn and Artur Rocha and {Ricardo Henriques}, Mario and Eric Tousset and Hugo Silva and Gerhard Andersson and Pim Cuijpers",
year = "2012",
doi = "10.3233/978-1-61499-121-2-339",
language = "English",
volume = "181",
pages = "339--343",
journal = "Studies in Health Technology and Informatics",
issn = "0926-9630",
publisher = "IOS Press BV",

}

RIS

TY - JOUR

T1 - Innovative ICT solutions to improve treatment outcomes for depression

T2 - the ICT4Depression project

AU - Warmerdam, Lisanne

AU - Riper, Heleen

AU - Klein, Michel

AU - van den Ven, Pepijn

AU - Rocha, Artur

AU - Ricardo Henriques, Mario

AU - Tousset, Eric

AU - Silva, Hugo

AU - Andersson, Gerhard

AU - Cuijpers, Pim

PY - 2012

Y1 - 2012

N2 - Depression is expected to be the disorder with the highest disease burden in high-income countries by the year 2030. ICT4Depression (ICT4D) is a European FP7 project, which aims to contribute to the alleviation of this burden by making use of depression treatment and ICT innovations. In this project we developed an ICT-based system for use in primary care that aims to improve access as well as actual care delivery for depressed adults. Innovative technologies within the ICT4D system include 1) flexible self-help treatments for depression, 2) automatic assessment of the patient using mobile phone and web-based communication 3) wearable biomedical sensor devices for monitoring activities and electrophysiological indicators, 4) computational methods for reasoning about the state of a patient and the risk of relapse (reasoning engine) and 5) a flexible system architecture for monitoring and supporting people using continuous observations and feedback via mobile phone and the web. The general objective of the ICT4D project is to test the feasibility and acceptability of the ICT4D system within a pilot study in the Netherlands and in Sweden during 2012 and 2013.

AB - Depression is expected to be the disorder with the highest disease burden in high-income countries by the year 2030. ICT4Depression (ICT4D) is a European FP7 project, which aims to contribute to the alleviation of this burden by making use of depression treatment and ICT innovations. In this project we developed an ICT-based system for use in primary care that aims to improve access as well as actual care delivery for depressed adults. Innovative technologies within the ICT4D system include 1) flexible self-help treatments for depression, 2) automatic assessment of the patient using mobile phone and web-based communication 3) wearable biomedical sensor devices for monitoring activities and electrophysiological indicators, 4) computational methods for reasoning about the state of a patient and the risk of relapse (reasoning engine) and 5) a flexible system architecture for monitoring and supporting people using continuous observations and feedback via mobile phone and the web. The general objective of the ICT4D project is to test the feasibility and acceptability of the ICT4D system within a pilot study in the Netherlands and in Sweden during 2012 and 2013.

KW - Health sciences

KW - eMental health

KW - ICT

KW - Psychology

KW - depression

KW - mobile phone

KW - self-help

UR - http://www.scopus.com/inward/record.url?scp=84872024980&partnerID=8YFLogxK

U2 - 10.3233/978-1-61499-121-2-339

DO - 10.3233/978-1-61499-121-2-339

M3 - Journal articles

VL - 181

SP - 339

EP - 343

JO - Studies in Health Technology and Informatics

JF - Studies in Health Technology and Informatics

SN - 0926-9630

ER -

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Kosten-Effektivitäts-Analyse eines Online Programmes zur Reduktion von depressiven Beschwerden bei Personen mit Diabetes mellitus Typ 1 und Typ 2

Nobis, S., Ebert, D. D., Lehr, D., Smit, F., Buntrock, C., Berking, M., Baumeister, H., Snoek, F., Funk, B. & Riper, H., 2016, 15. Kongress der Deutschen Gesellschaft für Verhaltensmedizin und Verhaltensmodifikation: Verhaltensmedizin 2.0 - von eHealth zu mHealth, 25. bis 27. Februar 2016 Johannes Gutenberg-Universität Mainz, Abstractband. Johannes Gutenberg-Universität Mainz, p. 9 1 p.

Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review

Wirksamkeit eines internet- und smartphone-basierten Dankbarkeitstrainings zur Verbesserung der gedanklichen Distanzierung – Sekundäranalyse einer randomisiert-kontrollierten Studie

Lehr, D., Freund, H., Ebert, D. D., Berking, M., Riper, H. & Sieland, B., 2015, Menschen Medien Möglichkeiten: 9. Fachgruppentagung Arbeits-, Organisations- und Wirtschaftspsychologie der DGPs in Mainz, Abstracts. Rigotti, T., Haun, V. C. & Dormann, C. (eds.). Lengerich: Pabst Science Publishers, p. 88-89 2 p.

Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Transfer

Wirksamkeit und Kosteneffektivität eines Online-Trainings zur Reduktion riskanten Alkoholkonsums bei Erwerbstätigen: Ergebnisse einer drei-armigen randomisiert-kontrollierten Studie

Boß, L., Lehr, D., Berking, M., Riper, H. & Ebert, D. D., 2015, Menschen – Medien – Möglichkeiten: 9. Fachgruppentagung Arbeits-, Organisations- und Wirtschaftspsychologie der DGPs in Mainz, Abstracts. Rigotti, T., Haun, V. C. & Dormann, C. (eds.). Lengerich: Pabst Science Publishers, p. 90-91 2 p.

Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Transfer

Evaluating the (cost-)effectiveness of guided and unguided Internet-based self-help for problematic alcohol use in employees: A three arm randomized controlled trial

Boß, L., Lehr, D., Berking, M., Riper, H., Schaub, M. P. & Ebert, D. D., 12.10.2015, In: BMC Public Health. 15, 1, 14 p., 1043.

Research output: Journal contributions › Journal articles › Research › peer-review

How to Predict Mood? Delving into Features of Smartphone-Based Data

Becker, D., Bremer, V., Funk, B., Asselbergs, J., Riper, H. & Ruwaard, J., 08.2016, Proceedings of the AMCIS 2016. AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2016).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

DOI

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