High Risk Population of Type 1 Diabetes Using a Mobile Health App – A Retrospective Observational Study

Marcus Hompesch, MD, ProSciento, Inc.
Klaudius Kalcher, PhD, Medical University of Vienna
Fredrik Debong, mySugr GmbH
Linda Morrow, MD, ProSciento, Inc.

Using mHealth tools for diabetes self-management may improve the quali­ty of metabolic control. Based on a meta analysis the impact on glycaemic control of digital tracking and remote coaching has been indicated to be around -0.38% [95% CI -0.40 to -0.37]) in adult population. However, rele­vant and sufficient real-world data convincingly demonstrating the useful­ness of mHealth tools in clinical care or less controlled setting is lacking.

The mySugr App (registered class I medical device application) was developed to make logging of metabolic control data appealing and useful in day-to-day life, and is one of the market leading apps with nearly 1 million users (Janu­ary 2017). In a retrospective analysis the logging function has shown signifi­cant results in well controlled populations, reducing estimated HbA1c by 0.3% (from 7.3% to 7.0%), among real world users. The exploratory data presented here will be utilized to generate future research hypotheses to further test the clinical utility of mySugr in a prospective manner and to improve mySu­gr’s features.

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