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

• Main Authors: Pathiravasan, Chathurangi H (Author), Zhang, Yuankai (Author), Trinquart, Ludovic (Author), Benjamin, Emelia J (Author), Borrelli, Belinda (Author), McManus, David D (Author), Kheterpal, Vik (Author), Lin, Honghuang (Author), Sardana, Mayank (Author), Hammond, Michael M (Author), Spartano, Nicole L (Author), Dunn, Amy L (Author), Schramm, Eric (Author), Nowak, Christopher (Author), Manders, Emily S (Author), Liu, Hongshan (Author), Kornej, Jelena (Author), Liu, Chunyu (Author), Murabito, Joanne M (Author)
• Format: Book
• Published: JMIR Publications, 2021-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundeCohort studies offer an efficient approach for data collection. However, eCohort studies are challenged by volunteer bias and low adherence. We designed an eCohort embedded in the Framingham Heart Study (eFHS) to address these challenges and to compare the digital data to traditional data...