Sensor-controlled Digital Game for Heart Failure Self-management

This study is testing a sensor-controlled digital game (SCDG) designed to help adults with heart failure (HF) manage their condition. The game encourages healthy behaviors like weight monitoring and physical activity by using points earned from your real-time actions to help an avatar stay healthy. Half of the participants will use the SCDG app along with weight and activity sensors, while the other half will only use the sensors and receive educational materials. The study aims to see if the SCDG helps people consistently monitor their weight over 6, 12, and 24 weeks. You may be able to join if you are 45 or older, have certain types of heart failure, have been hospitalized for HF in the past year, and speak English. The current recruitment status is unclear.

Study design
This is an interventional study with 200 planned participants. It compares two groups: one using the sensor-controlled digital game and sensors, and another using only sensors.
What's involved
Not specified in the trial record.
Compensation
Not stated in the trial record.
Follow-up
Participants will be followed for weight monitoring for 24 weeks.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT05056129

Sensor-controlled Digital Game for Heart Failure Self-management: A Clinical Trial

Recruiting
NAAges 45+InterventionalHealth services
University of Texas at Austin
~200 participants
Updated 2026-01-16 on ClinicalTrials.gov
What's tested:Sensor-controlled digital game (SCDG)Sensor Only

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Number of Days With Weight-monitoring on Sensor Logs at 6 Weeks
Measured over 6 weeks
+2 more outcomes measured
Heart Failure

NCT05056129

Where you'd take part

This study runs at 1 site. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.

  • The University of Texas Austin

    Austin, Texasstudy coordinator listed

    Recruiting

Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.

  • Kavita Radhakrishnan, PhD · PRINCIPAL_INVESTIGATOR · The University of Texas Austin

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Eligibility criteria

Inclusion

Age 45 years or older
New York Heart Association (NYHA) heart failure classification of I to III that permits minimal physical activity without discomfort
have experienced HF hospitalization in the past 12 months
be fluent in English
Pass a mini-cognitive screen
Score of less than 2 (able to independently walk without using a cane or walker) on the Outcome and Assessment Information Set item for ambulation/locomotion

Exclusion

severe visual (e.g., legally blind) or tactile (e.g., severe arthritis) impairments that adversely prevent the use of a smartphone or sensor devices;
a history of renal failure, which adversely affects HF prognosis
a diagnosis of an end-stage or terminal illness (e.g., cancer)
undergone heart transplantation, or implantation of a durable mechanical circulatory support device (e.g., left ventricular assist device) due to unique self-management needs.
  • Number of Days With Weight-monitoring on Sensor Logs at 6 Weeks6 weeks

    This outcome will be measured by collecting number of days with weight-monitoring data. This measure will be collected from sensor logs within the apps for both intervention group (IG) and control group (CG).

  • Number of Days With Weight-monitoring on Sensor Logs at 12 Weeks12 weeks

    This outcome will be measured by collecting number of days with weight-monitoring data. This measure will be collected from sensor logs within the apps for both intervention group (IG) and control group (CG).

  • Number of Days With Weight-monitoring on Sensor Logs at 24 Weeks24 weeks

    This outcome will be measured by collecting number of days with weight-monitoring data. This measure will be collected from sensor logs within the apps for both intervention group (IG) and control group (CG).