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NCT04152031

Activity-Aware Prompting to Improve Medication Adherence in Heart Failure Patients

Completed NA Last updated 27 April 2023
What this trial tests

NA trial testing Prompting in Heart Failure in 40 participants. Completed in 5 August 2019.

Timeline
20 October 2016
Primary endpoint
5 August 2019
5 August 2019

Quick facts

Lead sponsorWashington State University
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposeother
Enrollment40
Start date20 October 2016
Primary completion5 August 2019
Estimated completion5 August 2019

Drugs / interventions tested

Conditions studied

Sponsor

Washington State University

Who can join

21 and older, any sex, with Heart Failure or Cardiovascular Diseases. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The long-term objective of this project is to improve human health and impact health care delivery by developing intelligent technologies that aid with health monitoring and intervention. The immediate objective of this project is to design, evaluate and validate machine learning-based software algorithms that recognize daily activities, provide activity-aware medicine reminder interventions and provide insights on intervention timings that yield successful compliance. The investigators hypothesize that many individuals with needs for medicine intervention can be more compliant with their medicine regimen if prompts are provided at the right times and in the right context. The investigators plan to accomplish these objectives by 1) enhancing and validating software algorithms that recognize daily activities and activity transitions, 2) developing and validating activity-aware medicine prompting interventions for mobile devices, and 3) designing technologies to analyze medicine reminder successes and failures. The proposed work will partner real-time methodologies for validation and algorithmic development with smart phone data, utilize novel activity discovery algorithms, and employ activity recognition and prediction algorithms in the development of activity-aware prompting.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications.
    Gautam N, Ghanta SN, Mueller J, Mansour M, et al · · 2022 · cited 35× · PMID 36552971 · DOI 10.3390/diagnostics12122964

Verify or expand the search:

Other recruiting trials for Heart Failure

Currently open trials in the same condition.

Other Washington State University trials

Trials by the same sponsor.

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Data sources for this page

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