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Increasing adherence and collecting symptom-specific biometric signals in remote monitoring of heart failure patients: a randomized controlled trial.
Mohapatra, Sukanya; Issa, Mirna; Ivezic, Vedrana; Doherty, Rose; Marks, Stephanie; Lan, Esther; Chen, Shawn; Rozett, Keith; Cullen, Lauren; Reynolds, Wren; Rocchio, Rose; Fonarow, Gregg C; Ong, Michael K; Speier, William F; Arnold, Corey W.
Afiliação
  • Mohapatra S; Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Issa M; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Ivezic V; Department of Radiology, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Doherty R; Department of Radiology, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Marks S; Department of Radiology, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Lan E; Department of Medicine, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Chen S; Department of Radiology, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Rozett K; Office of Advanced Research Computing, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Cullen L; Office of Advanced Research Computing, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Reynolds W; Office of Advanced Research Computing, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Rocchio R; Office of Advanced Research Computing, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Fonarow GC; Department of Medicine, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Ong MK; Department of Medicine, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Speier WF; Department of Radiology, University of California, Los Angeles, Los Angeles, CA 90024, United States.
  • Arnold CW; Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90024, United States.
J Am Med Inform Assoc ; 2024 Aug 22.
Article em En | MEDLINE | ID: mdl-39172649
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido