Mobile Health

This research evaluated the iMatter text-messaging patient-reported outcome tool versus usual care for reducing hemoglobin A1c (HbA1c) and supporting self-care in people with Type 2 Diabetes, finding no significant difference in HbA1c reduction but an improvement in smoking status for the intervention group.

This study developed, implemented, and rigorously evaluated a clinically integrated remote symptom monitoring intervention for asthma patient-reported outcomes (PROs) in primary care, with findings revealing an improvement in patient quality of life and suggesting the intervention's potential to enhance the ability of clinicians and clinical staff to manage their patients.

This research used machine learning algorithms to customize and distribute health messages to people with low income through text messaging, finding that the adaptive and personalized messages increased individuals’ physical activity.

Using participatory research methods, researchers developed a self-management mobile health application for self-management to help people with HIV manage their health and monitor their medication adherence.

This research developed and evaluated a mobile health application to improve screening, intervention, and referrals in the care of pregnant women.

This research developed and evaluated mobile application messages that assisted individuals with hypertension to adhere to a low-sodium diet.