Evidence map›Paper›PMID 34747701›Full record

ArticleJMIR serious games2021

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

Kavita Radhakrishnan, Christine Julien, Tom Baranowski, Matthew O'Hair, Grace Lee, Atami Sagna De Main, Catherine Allen, Bindu Viswanathan, Edison Thomaz, Miyong Kim

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR serious games, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03947983 (A Pilot Sensor-controlled Digital Gaming Intervention With Real-time Behavior Tracking to Motivate Self-management Behaviors in Older Adults With Heart Failure), which is not on this map. Cited by 16 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 5 pooled it
6.1field-weighted citation impact, top 4% of its field
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.

NCT03947983 nacompletednot on this map

A Pilot Sensor-controlled Digital Gaming Intervention With Real-time Behavior Tracking to Motivate Self-management Behaviors in Older Adults With Heart Failure

TypeinterventionalSponsorUniversity of Texas at AustinRan2019 to 2021Enrolled38ConditionsHeart FailureArmsSensor-controlled digital game (SCDG), Sensor Only
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 5 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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  15. A Sensor-Controlled Digital Game for Heart Failure Self-Care Based on Behavioral Change Frameworks.SeGAH ... IEEE ... International Conference on Serious Games and Applications for Health : book of proceedings. IEEE International Conference on Serious Games and Applications for Health · 2022
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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 at 2 institutions in 1 country.

Kavita RadhakrishnanSchool of Nursing, The University of Texas Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-1373-1633
Christine JulienDepartment of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-4131-4642
Tom BaranowskiBaylor College of Medicine, Houston, TX, United States.ORCID https://orcid.org/0000-0002-0653-2222
Matthew O'HairGood Life Games, Inc, Austin, TX, United States.ORCID https://orcid.org/0000-0001-7528-1597
Grace LeeDepartment of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0001-5701-5316
Atami Sagna De MainSchool of Nursing, The University of Texas Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-6405-9883
Catherine AllenSchool of Nursing, The University of Texas Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0003-4340-1480
Bindu ViswanathanDepartment of Statistics and Data Sciences, The University of Texas Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0003-3452-3945
Edison ThomazDepartment of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0001-8188-0457
Miyong KimSchool of Nursing, The University of Texas Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-4769-9387
The University of Texas at Austin · USBaylor College of Medicine · US

Funding

A pilot sensor-controlled digital gaming intervention with real-time behavior tracking to motivate self-management behaviors in older adults with heart failureR21NR018229 · NINR · UNIVERSITY OF TEXAS AT AUSTIN · PI RADHAKRISHNAN, KAVITA · 2018 to 2019
$428k
NINR NIH HHS R21 NR018229
6 · The paper itself

Abstract

backgroundPoor self-management of heart failure (HF) contributes to devastating health consequences. Our innovative sensor-controlled digital game (SCDG) integrates data from sensors to trigger game rewards, progress, and feedback based on the real-time behaviors of individuals with HF.

objectiveThe aim of this study is to compare daily weight monitoring and physical activity behavior adherence by older adults using an SCDG intervention versus a sensors-only intervention in a feasibility randomized controlled trial.

methodsEnglish-speaking adults with HF aged 55 years or older who owned a smartphone and could walk unassisted were recruited from Texas and Oklahoma from November 2019 to August 2020. Both groups were given activity trackers and smart weighing scales to track behaviors for 12 weeks. The feasibility outcomes of recruitment, retention, intervention engagement, and satisfaction were assessed. In addition to daily weight monitoring and physical activity adherence, the participants' knowledge, functional status, quality of life, self-reported HF behaviors, motivation to engage in behaviors, and HF-related hospitalization were also compared between the groups at baseline and at 6, 12, and 24 weeks.

resultsA total of 38 participants with HF-intervention group (IG; 19/38, 50%) and control group (CG; 19/38, 50%)-were enrolled in the study. Of the 38 participants, 18 (47%) were women, 18 (47%) were aged 65 years or older, 21 (55%) had been hospitalized with HF in the past 6 months, and 29 (76%) were White. Furthermore, of these 38 participants, 31 (82%)-IG (15/19, 79%) and CG (16/19, 84%)-had both weight monitoring and physical activity data at the end of 12 weeks, and 27 (71%)-IG (14/19, 74%) and CG (13/19, 68%)-participated in follow-up assessments at 24 weeks. For the IG participants who installed the SCDG app (15/19, 79%), the number of days each player opened the game app was strongly associated with the number of days the player engaged in weight monitoring (r=0.72; P=.04) and the number of days with physical activity step data (r=0.9; P<.001). The IG participants who completed the satisfaction survey (13/19, 68%) reported that the SCDG was easy to use. Trends of improvement in daily weight monitoring and physical activity in the IG, as well as within-group improvements in HF functional status, quality of life, knowledge, self-efficacy, and HF hospitalization in both groups, were observed in this feasibility trial.

conclusionsPlaying an SCDG on smartphones was feasible and acceptable for older adults with HF for motivating daily weight monitoring and physical activity. A larger efficacy trial of the SCDG intervention will be needed to validate trends of improvement in daily weight monitoring and physical activity behaviors.

trial registrationClinicalTrials.gov NCT03947983; https://clinicaltrials.gov/ct2/show/NCT03947983.

Indexed as

behaviorsdigital gameheart failuremobile phoneolder adultsphysical activityself-managementsensorweight monitoring

Identifiers

PMID34747701
PMCPMC8663490
OpenAlexW3176622007

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.