Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture.

Publication date: Aug 07, 2024

The integration of health and activity data from various wearable devices into research studies presents technical and operational challenges. The Awesome Data Acquisition Method (ADAM) is a versatile, web-based system that was designed for integrating data from various sources and managing a large-scale multiphase research study. As a data collecting system, ADAM allows real-time data collection from wearable devices through the device’s application programmable interface and the mobile app’s adaptive real-time questionnaires. As a clinical trial management system, ADAM integrates clinical trial management processes and efficiently supports recruitment, screening, randomization, data tracking, data reporting, and data analysis during the entire research study process. We used a behavioral weight-loss intervention study (SMARTER trial) as a test case to evaluate the ADAM system. SMARTER was a randomized controlled trial that screened 1741 participants and enrolled 502 adults. As a result, the ADAM system was efficiently and successfully deployed to organize and manage the SMARTER trial. Moreover, with its versatile integration capability, the ADAM system made the necessary switch to fully remote assessments and tracking that are performed seamlessly and promptly when the COVID-19 pandemic ceased in-person contact. The remote-native features afforded by the ADAM system minimized the effects of the COVID-19 lockdown on the SMARTER trial. The success of SMARTER proved the comprehensiveness and efficiency of the ADAM system. Moreover, ADAM was designed to be generalizable and scalable to fit other studies with minimal editing, redevelopment, and customization. The ADAM system can benefit various behavioral interventions and different populations.

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Concepts Keywords
Adam Adult
Covid Behavior Therapy
Informatics behavioral
Pandemic clinical trial management
Smarter COVID-19
data analysis
Data Collection
data collection
device
Female
Fitbit
Humans
integrated system
Internet of Things
Internet of Things
IoT
IoT integration
Male
management
mHealth
mHealth Fitbit
Mobile Applications
mobile health
Nokia
remote assessment
research study management
study tracking
Surveys and Questionnaires
Telemedicine
tracking
wearable
wearable devices
Wearable Electronic Devices

Semantics

Type Source Name
disease VO time
disease VO device
disease IDO process
disease IDO intervention
disease MESH COVID-19 pandemic
drug DRUGBANK Spinosad
disease VO efficiency
drug DRUGBANK Chlorhexadol
drug DRUGBANK Methylphenidate
drug DRUGBANK Montelukast
disease MESH weight loss
disease IDO blood
drug DRUGBANK Albendazole
drug DRUGBANK Alpha-1-proteinase inhibitor
disease VO efficient
drug DRUGBANK Trestolone
drug DRUGBANK Methyltestosterone
disease VO frequency
drug DRUGBANK Aspartame
disease VO protocol
drug DRUGBANK Isoxaflutole
disease IDO site
disease IDO history
disease MESH lifestyle
disease IDO algorithm
disease VO report
disease VO effective
drug DRUGBANK Etoperidone
drug DRUGBANK Ranitidine
disease VO population
disease MESH COPD
disease MESH mental illness
disease MESH overweight
drug DRUGBANK Coenzyme M
disease MESH Obesity
disease MESH chronic conditions
disease MESH insomnia
disease MESH heart failure
disease VO effectiveness
drug DRUGBANK Silver

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