文章基本信息

标题：Real-world behavioral dataset from two fully remote smartphone-based randomized clinical trials for depression
本地全文：下载
作者：abhishek Pratap ; Ava Homiar ; Luke Waninger 等
期刊名称：Scientific Data
电子版ISSN：2052-4463
出版年度：2022
卷号：9
期号：1
页码：1-9
DOI：10.1038/s41597-022-01633-7
语种：English
出版社：Nature Publishing Group
摘要：Most people with mental health disorders cannot receive timely and evidence-based care despite billions of dollars spent by healthcare systems . Researchers have been exploring using digital health technologies to measure behavior in real-world settings with mixed results . There is a need to create accessible and computable digital mental health datasets to advance inclusive and transparently validated research for creating robust real-world digital biomarkers of mental health . Here we share and describe one of the largest and most diverse real-world behavior datasets from over two thousand individuals across the US . The data were generated as part of the two NIMH-funded randomized clinical trials conducted to assess the efectiveness of delivering mental health care continuously remotely. The longitudinal dataset consists of self-assessment of mood, depression, anxiety, and passively gathered phone-based behavioral data streams in real-world settings . This dataset will provide a timely and long- term data resource to evaluate analytical approaches for developing digital behavioral markers and understand the efectiveness of mental health care delivered continuously and remotely.