Assessing Mobile Health Capacity and Task Shifting Strategies to Improve Hypertension Among Ghanaian Stroke Survivors.

Publication Date: 
Jan 01, 0000

BACKGROUND: There has been a tremendous surge in stroke prevalence in sub-Saharan Africa. Hypertension (HTN), the most potent, modifiable risk factor for stroke, is a particular challenge in sub-Saharan Africa.

Prevalence of mobile phones and factors influencing usage by caregivers of young children in daily life and for health care in rural China: a mixed methods study.

Journal Title: 
Publication Date: 
Mar 20, 2015

INTRODUCTION: To capitalise on mHealth, we need to understand the use of mobile phones both in daily life and for health care.

OBJECTIVE: To assess the prevalence and factors that influence usage of mobile phones by caregivers of young children.

MeSH Terms: 

Improvements in illness self-management and psychological distress associated with telemonitoring support for adults with diabetes.

Journal Title: 
Publication Date: 
Mar 11, 2015

OBJECTIVE: The objective of this observational open label trial was to characterize changes in diabetes self-management and psychological distress associated with a mobile health (mHealth) interactive voice response (IVR) self-management support program.

Smartphones and pediatric apps to mobilize the medical home.

Journal Title: 
Publication Date: 
Aug 25, 2014

OBJECTIVES: To assess digital access and mobile health in urban pediatric clinics by measuring demographics of smartphone ownership, primary uses of mobile devices by teens vs parents/caregivers, and interest levels in using smartphone health apps.

Diabetes self-management support using mHealth and enhanced informal caregiving.

Publication Date: 
Feb 25, 2014

OBJECTIVE: To characterize diabetes patient engagement and clinician notifications for an mHealth interactive voice response (IVR) service.

DESIGN: Observational study.

Text messaging data collection for monitoring an infant feeding intervention program in rural China: feasibility study.

Publication Date: 
Dec 05, 2013

BACKGROUND: An effective data collection method is crucial for high quality monitoring of health interventions. The traditional face-to-face data collection method is labor intensive, expensive, and time consuming.