Conducting a Fully Mobile and Randomised Clinical Trial for Depression: Access, Engagement and Expense
Initiatives
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To assess the feasibility of a fully mobile randomised controlled trial using assessments and treatments delivered entirely through mobile devices to depressed individuals.
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2014
- Funding
- Support for this research was provided by the National Institute of Mental Health (P.A.A.; R34-MH100466, T32 MH0182607, K24 MH074717).
Design
- Study design
- Clinical trial cohort
Marker Paper
Anguera JA, Jordan JT, Castaneda D, Gazzaley A, Areán PA. Conducting a fully mobile and randomised clinical trial for depression: access, engagement and expense. BMJ Innov. 2016;2(1):14‐21. doi:10.1136/bmjinnov-2015-000098
PUBMED 27019745
Recruitment
- Sources of Recruitment
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- Individuals
Number of participants
- Number of participants
- 1,098
- Number of participants with biosamples
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
adult participants with depression
Using a web-based research portal, adult participants with depression who also owned a smart device were screened, consented and randomised to 1 of 3 mental health apps for treatment.
Selection Criteria
- Minimum age
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18
- Newborns
- Twins
- Countries
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- United States of America
- Ethnic Origin
-
- Health Status
-
- Other criteria
- Participants had to speak English, be 18 years old or older, own a smartphone (iPhone or Android) with WiFi or 3G/4G capabilities, and own an iPad2 or newer device.
Recruitment
Number of participants
- Number of participants
- 1,098
- Number of participants with biosamples
Data Collection Event
A cognitive training application, an application based on problem-solving therapy, and a mobile-sensing application promoting daily activities.
- Start Date
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2014-08
- End Date
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2014-12
- Data sources
-
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Mobile data collection
- Mobile phone
- Smartphone
- Smartphone apps
- Tablet/laptop
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Mobile data collection