Adherence to Established Treatment Guidelines Among Unguided Digital Interventions for Depression: Quality Evaluation of 28 Web-Based Programs and Mobile Apps

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This study evaluates the adherence of 28 unguided digital interventions for depression to established treatment guidelines, analyzing both desktop programs and mobile apps. The authors assess the presence of specific therapeutic components such as mood tracking, psychoeducation, and cognitive restructuring across these platforms. The resource is relevant for researchers and clinicians interested in the quality and structural completeness of self-guided digital mental health tools.

ID
406ca87d08f04c66
Source org
PubMed Central
Author
Stefan Bubolz (Heidelberg University), Gwendolyn Mayer (Heidelberg University), Nadine Gronewold (Heidelberg University), Thomas Hilbel (University of Applied Sciences for Public Administration and Management), Jobst‐Hendrik Schultz (Heidelberg University)
Published
2020-07-13
OA status
gold
DOI
10.2196/16136
PMID
Not recorded
PMCID
Not recorded
Citations
20

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BibTeX

@article{allodium:406ca87d08f04c66,
  title = {Adherence to Established Treatment Guidelines Among Unguided Digital Interventions for Depression: Quality Evaluation of 28 Web-Based Programs and Mobile Apps},
  author = {Stefan Bubolz and Gwendolyn Mayer and Nadine Gronewold and Thomas Hilbel and Jobst‐Hendrik Schultz},
  year = {2020},
  journal = {PubMed Central},
  doi = {10.2196/16136},
  url = {https://doi.org/10.2196/16136}
}

RIS

TY  - JOUR
TI  - Adherence to Established Treatment Guidelines Among Unguided Digital Interventions for Depression: Quality Evaluation of 28 Web-Based Programs and Mobile Apps
AU  - Bubolz, Stefan
AU  - Mayer, Gwendolyn
AU  - Gronewold, Nadine
AU  - Hilbel, Thomas
AU  - Schultz, Jobst‐Hendrik
PY  - 2020
PB  - PubMed Central
DO  - 10.2196/16136
UR  - https://doi.org/10.2196/16136
ER  -

APA

Bubolz, S., Mayer, G., Gronewold, N., Hilbel, T., & Schultz, J. (2020). Adherence to Established Treatment Guidelines Among Unguided Digital Interventions for Depression: Quality Evaluation of 28 Web-Based Programs and Mobile Apps. PubMed Central. https://doi.org/10.2196/16136

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