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Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study.

Ingrid Oakley-GirvanJuan M Lavista FerresYasamin MillerSharon Watkins DavisCarlos AcleJeffrey T HancockLorene M Nelson
Published in: JMIR formative research (2019)
This study provides data highlighting the potential for mobile apps to improve population-based health, including an assessment of recruitment methods, burden and response rapidity, and future adaptations. Although gamification and monetary rewards were relatively unimportant to this study population, item response theory may be technologically feasible to reduce individual survey burden. Additional data collected by smartphones, such as geolocation, could be important in additional analysis, such as neighborhood characteristics and their impact on behavioral risk factors. Mobile tools that offer rapid adaptation for specific populations may improve research data collection for primary prevention and could be used to improve engagement and health outcomes.
Keyphrases
  • risk factors
  • electronic health record
  • healthcare
  • public health
  • physical activity
  • machine learning
  • human health