Studies in health technology and informatics · 2020
Digital Health Interventions for Diabetes Self-Management Education/Support in Type 1 & 2 Diabetes Mellitus.
СтатьяМетаанализСистематический обзорНазвание и аннотация: Перевод пока не подготовлен
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Nkhom Dumisani, Soko Charles Jenya, Bowrin Pierre, Iqbal Usman
Аннотация
INTRODUCTION: Diabetes Mellitus is a major global concern. DSME (Diabetes Self-Management Education and Support) helps improve outcomes. Over the years, newer technologies have delivered DSME warranting an update of evidence.
OBJECTIVES: Describe current digital health interventions employed in DSMES and their effectiveness in improving glycemic control and quality of life of Diabetes Mellitus (DM) patients compared to usual care.
METHODS: Systematic review design and meta-analysis. We will search data from 2010 to 2019. The review will only include randomized control trials (RCTs) with digital health interventions (mobile health, social media, e-health) as the main intervention to deliver DSMES.
EXPECTED RESULTS: We expect digital health intervention-led DSMES to improve target outcomes compared to usual care. This study will aggregate information on usage and challenges for these tools. It will also suggest the direction of effect of such tools in different populations.
OBJECTIVES: Describe current digital health interventions employed in DSMES and their effectiveness in improving glycemic control and quality of life of Diabetes Mellitus (DM) patients compared to usual care.
METHODS: Systematic review design and meta-analysis. We will search data from 2010 to 2019. The review will only include randomized control trials (RCTs) with digital health interventions (mobile health, social media, e-health) as the main intervention to deliver DSMES.
EXPECTED RESULTS: We expect digital health intervention-led DSMES to improve target outcomes compared to usual care. This study will aggregate information on usage and challenges for these tools. It will also suggest the direction of effect of such tools in different populations.