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| ID | Type | Description | Link |
|---|---|---|---|
| UL1TR001409 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institutes of Health (NIH) | NIH |
| Georgetown-Howard Universities Center for Clinical and Translational Science | OTHER |
| ObEN Artificial Intelligence | UNKNOWN |
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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Alexa+ Arm | Experimental |
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| Standard of Care Arm | Other |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Alexa+ | Device | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Change in comfort level using Alexa+ technology as measured by the pre and post-test technology comfort survey | 3 months |
| Measure | Description | 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 |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Nawar M Shara, M.S., PhD | Medstar Health Research Institute | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| MedStar Washington Hospital Center | Washington D.C. | District of Columbia | 20010 | United States |
The findings from this study will be disseminated through formal presentations and informal frequent communications with participants in this study. Results will be presented at a national meeting and a report to document the results of the pre-and-post questionnaires as well as the data generated from Alexa will also be shared with researchers as appropriate.
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| ID | Term |
|---|---|
| D006333 | Heart Failure |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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| Standard of Care Arm | Other | 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. |
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