Evidence map›Paper›PMID 40641417›Full record

Trial reportPM & R : the journal of injury, function, and rehabilitation2026

Association between concussion-reporting intention and reporting behavior in a simulated game setting.

Niki Konstantinides, Christine M Baugh, Amy Bugwadia, Emily Kroshus, Sean Schowalter, Brian Hainline, Roy D Pea, Ross D Zafonte, Piya Sorcar, Daniel H Daneshvar

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in PM & R : the journal of injury, function, and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Niki KonstantinidesHarvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.ORCID 0000-0002-5286-8229
Christine M BaughCenter for Bioethics and Humanities, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0002-9340-6338
Amy BugwadiaStanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-3509-3556
Emily KroshusCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, Washington, USA.
Sean SchowalterDepartment of Physical Medicine and Rehabilitation, Harvard Medical School; Boston, Charlestown, Massachusetts, USA.
Brian HainlineNew York University Grossman School of Medicine, New York, New York, USA.
Roy D PeaDavid Jacks Professor of Learning Sciences and Education, Graduate School of Education, Stanford University, Stanford, California, USA.
Ross D ZafonteUniversity of Missouri School of Medicine, Columbia, Missouri, USA.
Piya SorcarStanford University School of Medicine; Stanford Graduate School of Education, Stanford, California, USA.
Daniel H DaneshvarDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-3691-9513

Funding

Traumatic Brain Injury and Repetitive Head Impacts: Contributions to AD/ADRD and CTE Neuropathology and Resulting Clinical SyndromesU54NS115266 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MCKEE, ANN C. · 2019 to 2023
$10.3M
NINDS NIH HHS U54 NS115266
6 · The paper itself

Abstract

backgroundEfforts to assess concussion-reporting efficacy face logistical challenges relying on behavioral intentions. Self-report surveys often lack correlation with actual behavior. Simulated in-game behavioral observation may offer a better evaluation method when data on actual behavior are not feasibly collected.

objectiveTo examine the association between concussion-reporting intentions and concussion-reporting behavior in a novel simulated in-game experience.

designThis study was performed as a secondary analysis of a larger study that assessed the efficacy of concussion education in concussion-reporting intention among high school athletes. High school football players (n = 313) from seven Colorado high schools completed reporting intention questionnaires. Athletes were randomized to either receive standard concussion education from the Centers for Disease Control and Prevention (n = 167) or not (n = 146). Subsequently, all participants were given a baseline assessment in which they were asked to assess concussion-reporting intention. To test concussion-reporting behavior, all participants watched a novel first-person, 2-minute video in which a simulated concussion occurred. When the simulated concussion occurs, participants are then asked whether they would like to seek evaluation or continue playing. Logistic regression assessed the relationship between concussion-reporting intention and concussion-reporting behavior during the simulated game experience.

resultsAthletes who reported their concussion in the simulated game had higher baseline concussion-reporting intention (U = 8669.5, p < .001). Across both the educated and noneducated groups, each one-point increase in baseline reporting intention was associated with 1.99× (95% confidence interval [CI]: 1.11-3.60, p = .02) and 1.53× (95% CI: 1.07-2.30, p = .026) increased odds of reporting the simulated concussion, respectively.

conclusionsConcussion-reporting behavior in a novel, first-person simulated in-game experience is higher among individuals with higher baseline concussion-reporting intention. This approach may offer promise for evaluating concussion-reporting intention and concussion-reporting behavior via interactive video simulation.

Indexed as

AthletesAthletic InjuriesBrain ConcussionFootballIntentionAdolescentFemaleHumansMaleSelf ReportSurveys and Questionnaires

Identifiers

PMID40641417
PMCPMC12258926

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.