- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04152031
Activity-Aware Prompting to Improve Medication Adherence in Heart Failure Patients
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
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. They will validate the hypothesis by designing and evaluating 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 first aim of the project is to expand and validate software algorithms that recognize daily activities and activity transitions with mobile devices. The hypothesis is that daily behavior contexts can be characterized and tracked with minimal user input using machine learning combined with automated activity discovery. In earlier work, the investigators had demonstrated the success of our algorithms in smart homes. In this project, they propose to adapt the techniques for mobile devices.
The second aim of the project is to develop activity-sensitive medicine prompting and assess the impact of activity-sensitive prompting on the primary outcome of medication adherence rates and the secondary outcome of quality of life. To this end, this goal can be decomposed into two tasks including (a) developing activity-sensitive prompting; (b) assessing the impact of activity-sensitive prompting on patient outcomes. The investigators will combine an activity prompting interface with activity recognition to deliver prompts in contexts with demonstrated success.
Finally, in the third aim, the investigators design machine learning algorithms to analyze medicine reminder success and failure situations. They hypothesize that machine learning techniques can be used to automatically predict prompt compliance by using computer algorithms to learn how to distinguish successful from unsuccessful prompt situations. In their approach, the investigators utilize sensor data to analyze daily behavior and link behavior context with medicine adherence.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- have a diagnosis of HF and recently hospitalized for HF exacerbation
- age ≥ 21 years;
- live independently (not in an institutional setting); and
- willing to carry the smartphone throughout the day.
Exclusion Criteria:
- any serious co-morbidities (e.g. malignancy, neurological disorder),
- impaired cognition,
- inability to understand, read, write, or speak English or Spanish
- major or uncorrected hearing or vision loss.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Medication adherence rate
Time Frame: Through study completion, an average of 1 year
|
The Russell's adherence score will be used to measure medication adherence rate.
A 3-hour window centered on the prescribed dosing time will be considered.
A dose taken within this time window will be given a full score for that dosing time; a dose taken outside the window but within a 6 hour window will be given a half score for that dosing time; and missed doses will receive a score of 0. Each participant will be assigned a score from 0.0 to 1.0 for each day.
The scores for each subject will be averaged to obtain weekly adherence rates.
The overall adherence rate will be computed by taking an average other the entire study period.
|
Through study completion, an average of 1 year
|
Collaborators and Investigators
Sponsor
Collaborators
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 16243-001
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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