Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression

Lutz W, Arndt A, Rubel J, Berger T, Schröder J, Späth C, Meyer B, Greiner W, Gräfe V, Hautzinger M, Fuhr K, et al. (2017)
Journal of Medical Internet Research 19(6): e206.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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DOI
Autor*in
Lutz, Wolfgang; Arndt, Alice; Rubel, Julian; Berger, Thomas; Schröder, Johanna; Späth, Christina; Meyer, Björn; Greiner, WolfgangUniBi; Gräfe, ViolaUniBi; Hautzinger, Martin; Fuhr, Kristina; Rose, Matthias
Alle
Einrichtung
Fakultät für Gesundheitswissenschaften > AG 5 Gesundheitsökonomie und Gesundheitsmanagement
Erscheinungsjahr
2017
Zeitschriftentitel
Journal of Medical Internet Research
Band
19
Ausgabe
6
Art.-Nr.
e206
ISSN
1438-8871
Page URI
https://pub.uni-bielefeld.de/record/2913200

Zitieren

Lutz W, Arndt A, Rubel J, et al. Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression. Journal of Medical Internet Research. 2017;19(6): e206.
Lutz, W., Arndt, A., Rubel, J., Berger, T., Schröder, J., Späth, C., Meyer, B., et al. (2017). Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression. Journal of Medical Internet Research, 19(6), e206. doi:10.2196/jmir.7367
Lutz, Wolfgang, Arndt, Alice, Rubel, Julian, Berger, Thomas, Schröder, Johanna, Späth, Christina, Meyer, Björn, et al. 2017. “Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression”. Journal of Medical Internet Research 19 (6): e206.
Lutz, W., Arndt, A., Rubel, J., Berger, T., Schröder, J., Späth, C., Meyer, B., Greiner, W., Gräfe, V., Hautzinger, M., et al. (2017). Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression. Journal of Medical Internet Research 19:e206.
Lutz, W., et al., 2017. Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression. Journal of Medical Internet Research, 19(6): e206.
W. Lutz, et al., “Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression”, Journal of Medical Internet Research, vol. 19, 2017, : e206.
Lutz, W., Arndt, A., Rubel, J., Berger, T., Schröder, J., Späth, C., Meyer, B., Greiner, W., Gräfe, V., Hautzinger, M., Fuhr, K., Rose, M., Nolte, S., Löwe, B., Hohagen, F., Klein, J.P., Moritz, S.: Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression. Journal of Medical Internet Research. 19, : e206 (2017).
Lutz, Wolfgang, Arndt, Alice, Rubel, Julian, Berger, Thomas, Schröder, Johanna, Späth, Christina, Meyer, Björn, Greiner, Wolfgang, Gräfe, Viola, Hautzinger, Martin, Fuhr, Kristina, Rose, Matthias, Nolte, Sandra, Löwe, Bernd, Hohagen, Fritz, Klein, Jan Philipp, and Moritz, Steffen. “Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression”. Journal of Medical Internet Research 19.6 (2017): e206.

4 Zitationen in Europe PMC

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Interrelations between participant and intervention characteristics, process variables and outcomes in online interventions: A protocol for overarching analyses within and across seven clinical trials in ICare.
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Differences in baseline and process variables between non-responders and responders in Internet-based cognitive behavior therapy for chronic tinnitus.
Probst T, Weise C, Andersson G, Kleinstäuber M., Cogn Behav Ther 48(1), 2019
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Patient Experiences of Web-Based Cognitive Behavioral Therapy for Heart Failure and Depression: Qualitative Study.
Lundgren J, Johansson P, Jaarsma T, Andersson G, Kärner Köhler A., J Med Internet Res 20(9), 2018
PMID: 30185405

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