- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03707275
Personalized Voice Activated Wellness Assistants for Patients With Heart Failure
June 18, 2020 updated by: Nawar Shara, Medstar Health Research Institute
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.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
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.
Study Type
Interventional
Enrollment (Actual)
50
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
District of Columbia
-
Washington, District of Columbia, United States, 20010
- MedStar Washington Hospital Center
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-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (ADULT, OLDER_ADULT)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
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
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: OTHER
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: NONE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
EXPERIMENTAL: Alexa+ Arm
|
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.
|
OTHER: Standard 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.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
Change in comfort level using Alexa+ technology as measured by the pre and post-test technology comfort survey
Time Frame: 3 months
|
3 months
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
Change in number of hospitalizations as measured by hospitalization data extracted from the EHR
Time Frame: 3 months
|
3 months
|
Change in medication adherence as measured by number of prescriptions filled extracted from the EHR
Time Frame: 3 months
|
3 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Principal Investigator: Nawar M Shara, M.S., PhD, MedStar Health Research Institute
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (ACTUAL)
December 10, 2018
Primary Completion (ACTUAL)
October 31, 2019
Study Completion (ACTUAL)
October 31, 2019
Study Registration Dates
First Submitted
October 2, 2018
First Submitted That Met QC Criteria
October 12, 2018
First Posted (ACTUAL)
October 16, 2018
Study Record Updates
Last Update Posted (ACTUAL)
June 19, 2020
Last Update Submitted That Met QC Criteria
June 18, 2020
Last Verified
June 1, 2020
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- Alexa+ Study
- UL1TR001409 (NIH)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
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.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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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