Evidence map›Paper›PMID 37163342›Full record

ArticleJMIR research protocols2023

Sensor-Controlled Digital Game for Heart Failure Self-management: Protocol for a Randomized Controlled Trial.

Kavita Radhakrishnan, Christine Julien, Matthew O'Hair, Rachel Tunis, Grace Lee, Angelica Rangel, James Custer, Tom Baranowski, Paul J Rathouz, Miyong T Kim

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05056129 (Sensor-controlled Digital Game for Heart Failure Selfmanagement Behavior Adherence), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05056129 narecruitingnot on this map

Sensor-controlled Digital Game for Heart Failure Selfmanagement Behavior Adherence: A Randomized Controlled Trial

TypeinterventionalSponsorUniversity of Texas at AustinRan2022 to 2026Enrolled200ConditionsHeart FailureArmsSensor-controlled digital game (SCDG), Sensor Only
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Kavita RadhakrishnanSchool of Nursing, The University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-1373-1633
Christine JulienDepartment of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-4131-4642
Matthew O'HairGood Life Games, LLC, Austin, TX, United States.ORCID https://orcid.org/0000-0001-7528-1597
Rachel TunisSchool of Information, University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0001-8362-2005
Grace LeeDepartment of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0001-5701-5316
Angelica RangelSchool of Nursing, The University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0009-0002-7473-9556
James CusterDepartment of Population Health, Dell Medical School, The University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0001-7196-5297
Tom BaranowskiChildren's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.ORCID https://orcid.org/0000-0002-0653-2222
Paul J RathouzDepartment of Population Health, Dell Medical School, The University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0001-8380-4300
Miyong T KimSchool of Nursing, The University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-4769-9387

Funding

Sensor-controlled digital game for heart failure self-management behavior adherence: A randomized controlled trialR01HL160692 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI RADHAKRISHNAN, KAVITA · 2022 to 2025
$2.8M
NHLBI NIH HHS R01 HL160692
6 · The paper itself

Abstract

backgroundHeart failure (HF) is the leading cause of hospitalization among older adults in the United States. There are substantial racial and geographic disparities in HF outcomes, with patients living in southern US states having a mortality rate 69% higher than the national average. Self-management behaviors, particularly daily weight monitoring and physical activity, are extremely important in improving HF outcomes; however, patients typically have particularly low adherence to these behaviors. With the rise of digital technologies to improve health outcomes and motivate health behaviors, sensor-controlled digital games (SCDGs) have become a promising approach. SCDGs, which leverage sensor-connected technologies, offer the benefits of being portable and scalable and allowing for continuous observation and motivation of health behaviors in their real-world contexts. They are also becoming increasingly popular among older adults and offer an immersive and accessible way to measure self-management behaviors and improve adherence. No SCDGs have been designed for older adults or evaluated to test their outcomes.

objectiveThis randomized clinical trial aims to assess the efficacy of a SCDG in integrating the behavioral data of participants with HF from weight scale and activity tracker sensors to activate game progress, rewards, and feedback and, ultimately, to improve adherence to important self-management behaviors.

methodsA total of 200 participants with HF, aged ≥45 years, will be recruited and randomized into 2 groups: the SCDG playing group (intervention group) and sensor-only group (control group). Both groups will receive a weight scale, physical activity tracker, and accompanying app, whereas only the intervention group will play the SCDG. This design, thereby, assesses the contributions of the game. All participants will complete a baseline survey as well as posttests at 6 and 12 weeks to assess the immediate effect of the intervention. They will also complete a third posttest at 24 weeks to assess the maintenance of behavioral changes. Efficacy and benefits will be assessed by measuring improvements in HF-related proximal outcomes (self-management behaviors of daily weight monitoring and physical activity) and distal outcomes (HF hospitalization, quality of life, and functional status) between baseline and weeks 6, 12, and 24. The primary outcome measured will be days with weight monitoring, for which this design provides at least 80% power to detect differences between the 2 groups.

resultsRecruitment began in the fall of 2022, and the first patient was enrolled in the study on November 7, 2022. Recruitment of the last participant is expected in quarter 1 of 2025. Publication of complete results and data from this study is expected in 2026.

conclusionsThis project will generate insight and guidance for scalable and easy-to-use digital gaming solutions to motivate persistent adherence to HF self-management behaviors and improve health outcomes among individuals with HF.

trial registrationClinicalTrials.gov NCT05056129; https://clinicaltrials.gov/ct2/show/NCT05056129. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/45801.

Indexed as

digital gameheart failuremobile phoneolder adultsself-management

Identifiers

PMID37163342
PMCPMC10209796

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.