Increasing adherence and collecting symptom-specific biometric signals in remote monitoring of heart failure patients: a randomized controlled trial

Author:

Mohapatra Sukanya1,Issa Mirna2,Ivezic Vedrana3,Doherty Rose3,Marks Stephanie3,Lan Esther4,Chen Shawn3,Rozett Keith5,Cullen Lauren5,Reynolds Wren5,Rocchio Rose5,Fonarow Gregg C4,Ong Michael K4,Speier William F36ORCID,Arnold Corey W367

Affiliation:

1. Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles , Los Angeles, CA 90024, United States

2. Department of Ecology and Evolutionary Biology, University of California, Los Angeles , Los Angeles, CA 90024, United States

3. Department of Radiology, University of California, Los Angeles , Los Angeles, CA 90024, United States

4. Department of Medicine, University of California, Los Angeles , Los Angeles, CA 90024, United States

5. Office of Advanced Research Computing, University of California, Los Angeles , Los Angeles, CA 90024, United States

6. Department of Bioengineering, University of California, Los Angeles , Los Angeles, CA 90024, United States

7. Department of Pathology & Laboratory Medicine, University of California, Los Angeles , Los Angeles, CA 90024, United States

Abstract

Abstract Objectives Mobile health (mHealth) regimens can improve health through the continuous monitoring of biometric parameters paired with appropriate interventions. However, adherence to monitoring tends to decay over time. Our randomized controlled trial sought to determine: (1) if a mobile app with gamification and financial incentives significantly increases adherence to mHealth monitoring in a population of heart failure patients; and (2) if activity data correlate with disease-specific symptoms. Materials and Methods We recruited individuals with heart failure into a prospective 180-day monitoring study with 3 arms. All 3 arms included monitoring with a connected weight scale and an activity tracker. The second arm included an additional mobile app with gamification, and the third arm included the mobile app and a financial incentive awarded based on adherence to mobile monitoring. Results We recruited 111 heart failure patients into the study. We found that the arm including the financial incentive led to significantly higher adherence to activity tracker (95% vs 72.2%, P = .01) and weight (87.5% vs 69.4%, P = .002) monitoring compared to the arm that included the monitoring devices alone. Furthermore, we found a significant correlation between daily steps and daily symptom severity. Discussion and Conclusion Our findings indicate that mobile apps with added engagement features can be useful tools for improving adherence over time and may thus increase the impact of mHealth-driven interventions. Additionally, activity tracker data can provide passive monitoring of disease burden that may be used to predict future events.

Funder

National Heart, Lung, and Blood Institute

Publisher

Oxford University Press (OUP)

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