Individual Study / Wang et al.; JMIR Res Protoc. 2018

Connecting Smartphone and Wearable Fitness Tracker Data With a Nationally Used Electronic Health Record System for Diabetes Education to Facilitate Behavioral Goal Monitoring in Diabetes Care: Protocol for a Pragmatic Multi-Site Randomized Trial

Connecting Smartphone and Wearable Fitness Tracker Data With a Nationally Used Electronic Health Record System for Diabetes Education to Facilitate Behavioral Goal Monitoring in Diabetes Care: Protocol for a Pragmatic Multi-Site Randomized Trial

Initiatives -
Start Year
2015
End Year
2016
Funding
The study is sponsored by the Robert Wood Johnson Foundation Nurse Faculty Scholars Program (Mentors: Jiajie Zhang, Nancy Bergstrom, Janet Meininger, Suzanne Bakken). The fitness trackers were primarily sponsored by the Jawbone Company. We thank colleagues at Flipside Media and Validic for technological assistance

Design

Study design
Clinical trial cohort

Marker Paper

Wang J, Coleman DC, Kanter J, Ummer B, Siminerio L. Connecting Smartphone and Wearable Fitness Tracker Data with a Nationally Used Electronic Health Record System for Diabetes Education to Facilitate Behavioral Goal Monitoring in Diabetes Care: Protocol for a Pragmatic Multi-Site Randomized Trial. JMIR Res Protoc. 2018;7(4):e10009. Published 2018 Apr 2. doi:10.2196/10009 Format:

PUBMED 29610111

Recruitment

Sources of Recruitment
  • Individuals

Number of participants

Number of participants
60
Number of participants with biosamples

Access

Availability of data and biosamples

Data
Biosamples
Other

Timeline

patients with diabetes

Selection Criteria
Minimum age
18
Newborns
Twins
Countries
  • United States of America
Territory
Pittsburgh, Houston
Ethnic Origin
Health Status
  • patients with diabetes, overweight or obese with an BMI > 25

Recruitment

Sources of recruitment
  • General population

Number of participants

Number of participants
60
Number of participants with biosamples
Data Collection Event
Start Date
2015-06
End Date
2016-08
Data sources
  • Mobile data collection
    • Mobile phone
    • Smartphone
    • Smartphone apps