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OpenTrials
Completed

NCT Number: NCT03707275

Personalized Voice Activated Wellness Assistants for Patients With Heart Failure

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.

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Key information

Conditions

Heart Failure Cardiovascular Diseases Congestive Heart Failure Heart Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

MedStar Washington Hospital Center

Washington D.C., District of Columbia, 20010, United States

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

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.

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.

Primary outcomes

  1. Change in comfort level using Alexa+ technology as measured by the pre and post-test technology comfort survey

    Time frame: 3 months

Secondary outcomes

  1. Change in number of hospitalizations as measured by hospitalization data extracted from the EHR

    Time frame: 3 months

  2. Change in medication adherence as measured by number of prescriptions filled extracted from the EHR

    Time frame: 3 months

Sponsors and collaborators

Lead sponsor

Medstar Health Research Institute

Other

Collaborators

  • Georgetown-Howard Universities Center for Clinical and Translational Science
  • National Institutes of Health (NIH)
  • ObEN Artificial Intelligence

Registry information

Important dates

Study start
2018
Primary completion
2019
Study completion
2019
First posted
Oct 16, 2018
Registry last updated
Jun 19, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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