ABSTRACT
Although mobile health (mHealth) devices offer a unique opportunity to capture patient health data remotely, it is unclear whether patients will consistently use multiple devices simultaneously and/or if chronic disease affects adherence. Three healthy and three chronically ill participants were recruited to provide data on 11 health indicators via four devices and a diet app. The healthy participants averaged overall weekly use of 76%, compared to 16% for those with chronic illnesses. Device adherence declined across all participants during the study. Patients with chronic illnesses, with arguably the most to benefit from advanced (or increased) monitoring, may be less likely to adopt and use these devices compared to healthy individuals. Results suggest device fatigue may be a significant problem. Use of mobile technologies may have the potential to transform care delivery across populations and within individuals over time. However, devices may need to be tailored to meet the specific patient needs.
Subject(s)
Chronic Disease/therapy , Mobile Applications/statistics & numerical data , Self-Management , Accelerometry/instrumentation , Adult , Feasibility Studies , Humans , Monitoring, Physiologic/instrumentation , Monitoring, Physiologic/statistics & numerical data , Patient Compliance , Pilot Projects , Self Care , Telemedicine/statistics & numerical dataABSTRACT
This case study shows how students used online social media to disseminate curated knowledge to the public. This is a "redefined" way of having the students show that they have analyzed the existing knowledge on a topic, synthesized/reorganized it in a meaningful way, and created a new presentation of that knowledge in various ways. This case study demonstrates an effective teaching approach to ensure that students develop competencies in teamwork, collaboration, and informatics.
