Congruency of multimodal data-driven personalization with shared decision-making for StayFine: individualized app-based relapse prevention for anxiety and depression in young people

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This paper describes StayFine, a guided app-based relapse prevention intervention for young people in remission from anxiety or depression. The study details a data-driven personalization approach that integrates diagnostic history, self-report questionnaires, and symptom network analysis with shared decision-making to select treatment modules. It evaluates the congruency between these data sources and patient preferences, noting that they provide complementary rather than confirmatory advice.

ID
6bcc2405bf7f46a0
Source org
PubMed Central
Author
Bas Kooiman (University of Groningen), Suzanne J. Robberegt (Amsterdam University Medical Centers), Casper J. Albers (University of Groningen), Claudi Bockting (Amsterdam University Medical Centers), Yvonne Stikkelbroek (Utrecht University), Maaike H. Nauta (University of Groningen)
Published
2023-09-29
OA status
gold
DOI
10.3389/fpsyt.2023.1229713
PMID
Not recorded
PMCID
Not recorded
Citations
10

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BibTeX

@article{allodium:6bcc2405bf7f46a0,
  title = {Congruency of multimodal data-driven personalization with shared decision-making for StayFine: individualized app-based relapse prevention for anxiety and depression in young people},
  author = {Bas Kooiman and Suzanne J. Robberegt and Casper J. Albers and Claudi Bockting and Yvonne Stikkelbroek and Maaike H. Nauta},
  year = {2023},
  journal = {PubMed Central},
  doi = {10.3389/fpsyt.2023.1229713},
  url = {https://doi.org/10.3389/fpsyt.2023.1229713}
}

RIS

TY  - JOUR
TI  - Congruency of multimodal data-driven personalization with shared decision-making for StayFine: individualized app-based relapse prevention for anxiety and depression in young people
AU  - Kooiman, Bas
AU  - Robberegt, Suzanne J.
AU  - Albers, Casper J.
AU  - Bockting, Claudi
AU  - Stikkelbroek, Yvonne
AU  - Nauta, Maaike H.
PY  - 2023
PB  - PubMed Central
DO  - 10.3389/fpsyt.2023.1229713
UR  - https://doi.org/10.3389/fpsyt.2023.1229713
ER  -

APA

Kooiman, B., Robberegt, S. J., Albers, C. J., Bockting, C., Stikkelbroek, Y., & Nauta, M. H. (2023). Congruency of multimodal data-driven personalization with shared decision-making for StayFine: individualized app-based relapse prevention for anxiety and depression in young people. PubMed Central. https://doi.org/10.3389/fpsyt.2023.1229713

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