Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study.

Chathurangi H Pathiravasan Yuankai Zhang Ludovic Trinquart Emelia J Benjamin Belinda Borrelli David D McManus Vik Kheterpal Honghuang Lin Mayank Sardana Michael M Hammond Nicole L Spartano Amy L Dunn Eric Schramm Christopher Nowak Emily S Manders Hongshan Liu Jelena Kornej Chunyu Liu Joanne M Murabito

Published in: Journal of medical Internet research (2021)

We observed that eFHS participants had a high survey return at baseline and each 3-month survey period over the 12 months of follow up. We observed moderate to high agreement between digital and research center measures for several types of surveys, including physical activity, depressive symptoms, and alcohol use. Thus, this digital data collection mechanism is a promising tool to collect data related to cardiovascular disease and its risk factors.

Keyphrases

cross sectional
cardiovascular disease
depressive symptoms
physical activity
risk factors
electronic health record
big data
type diabetes
high intensity
sleep quality
machine learning
data analysis
skeletal muscle
glycemic control