Heart Failure, Congestive Heart Failure
Conditions
Keywords
Clinical trial, Patient-centered outcomes, Treatment of heart failure, Technology in heart failure
Brief summary
The Alexa+ Study will compare the use of the Amazon Echo Dot with Alexa voice technology in patients with chronic heart failure to those receiving standard of care heart failure management on changes in health and patient-centered outcomes.
Detailed description
Integrating data from virtual voice activated assistants (Amazon Echo Dot with Alexa voice technology), with the rich medical history available in Electronic Health Records (EHR) will allow a truly customized, interactive, and automated personal healthcare assistant. This technology will be validated in patients who have chronic heart failure (HF). Half of the study patients will receive an Amazon Echo Dot (Alexa) enhanced with a HF Care custom Alexa Skill that is patient-specific, or Alexa+. Data on patient interactions with the device will be followed for three months. The control groups will receive standard of care (SOC) HF management. Both study and control groups will receive regular follow up from the HF nurse and data from all hospital or clinic visits will be captured from the EHR.
Interventions
DEVICEAlexa+
Patients will receive the Amazon Echo Dot with Alexa voice technology (Alexa+) and will be asked to interact with the device for 3 months. Alexa+ will ask a series of questions. Based on the answers to these questions, it will either contact a study coordinator or will ask patients to take a specific action (such as weighing themselves). Data from this simple intervention will be merged with data extracted from the patient's health record and analyzed for clinical variables and demographics that are most predictive for success in use of these technologies.
OTHERStandard of Care Arm
This group will receive standard of care (SOC) HF management, which will entail regular follow up from the HF nurse and data from all hospital or clinic visits will be captured from the EHR.
Sponsors
National Institutes of Health (NIH)
Georgetown-Howard Universities Center for Clinical and Translational Science
ObEN Artificial Intelligence
Medstar Health Research Institute
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Heart failure patients seen at the MedStar heart failure clinic and the MedStar Washington Hospital Center inpatient heart failure service * At least 18 years of age * Have access to in-home Wi-Fi
Exclusion criteria
* Participation in another interventional clinical trial
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Change in comfort level using Alexa+ technology as measured by the pre and post-test technology comfort survey | 3 months |
Secondary
| Measure | Time frame |
|---|---|
| Change in number of hospitalizations as measured by hospitalization data extracted from the EHR | 3 months |
| Change in medication adherence as measured by number of prescriptions filled extracted from the EHR | 3 months |
Countries
United States
Outcome results
None listed