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Real-world behavioral dataset from two fully remote smartphone-based randomized clinical trials for depression
Abhishek Pratap1,2,3,4,5, Ava Homiar6,7, Luke Waninger8
1Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada. abhishek.vit@gmail.com.
Scientific Data
|August 27, 2022
Summary
This study introduces a large, diverse dataset from over 2,000 individuals, combining self-reported mental health and passive phone data. This resource supports developing digital biomarkers for accessible, remote mental healthcare.
Area of Science:
- Digital Health
- Mental Health Research
- Biomedical Data Science
Background:
- Millions face barriers to timely, evidence-based mental healthcare.
- Digital health technologies show potential for real-world behavioral monitoring in mental health.
- Accessible, computable datasets are crucial for validating digital mental health research.
Purpose of the Study:
- To introduce a large, diverse, and accessible real-world behavioral dataset for mental health research.
- To facilitate the development of robust digital biomarkers for mental health.
- To support research on the effectiveness of continuously delivered remote mental healthcare.
Main Methods:
- Collected longitudinal data from over 2,000 individuals across the US.
- Data includes self-assessed mood, depression, and anxiety.
- Incorporated passively gathered, phone-based behavioral data streams.
Main Results:
- The dataset is one of the largest and most diverse real-world behavioral datasets available.
- It was generated from two National Institute of Mental Health (NIMH)-funded randomized clinical trials.
- The data captures both subjective and objective behavioral indicators in real-world settings.
Conclusions:
- This dataset provides a valuable resource for evaluating analytical approaches to digital behavioral markers.
- It enables a deeper understanding of mental health care delivered continuously and remotely.
- Facilitates inclusive and transparently validated research in digital mental health.
