Evidence map›Paper›PMID 40450391›Full record

ArticleAnnals of medicine2025

Integrating augmented reality technology into physical therapy in the school setting: a feasibility study.

Elise Baron, Amy Pratt, Betsy Donahoe-Fillmore

Abstract read
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Elise BaronAugment Therapy®, Cleveland, OH, USA.ORCID 0000-0002-6095-1022
Amy PrattMontgomery County ESC, Dayton, OH, USA.
Betsy Donahoe-FillmoreDepartment of Physical Therapy, University of Dayton, Dayton, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the feasibility of using an immersive augmented-reality technology (AT) in conjunction with physical therapy (PT) for in-school therapy, while determining whether this technology would be as engaging and motivating as standard PT.

methodsParticipants included Fifteen students (6-8 y/o) receiving once-weekly PT. The therapist was instructed to engage students in AT and standard PT for one academic year, alternating sessions. Before each session, students were informed of therapy modality and rated their excitement using a Smiley Face Likert scale with associated text. To assess feasibility, the number and order of each session type, as well as student refusal rate, were investigated. To assess engagement, the therapist recorded time-on-task and number of times redirection was needed. Feasibility was reported as descriptive statistics, and Wilcoxon signed-rank tests were used to compare average scores on excitement and engagement between AT and standard PT.

results60% of students (9/15) reaching the intended goal of 50% of therapy sessions as AT, as well as 60% (9/15) of students 'roughly alternating' (no more than three same session types in a row) their sessions throughout the duration of the study. The student refusal rate of AT was 0%. When using AT, students were 23% (

conclusionIntegrating AT alongside standard PT proved to be moderately feasible in a school setting. Additionally, students demonstrated increased excitement, increased time on tasks and decreased refocusing during a session using AT. A flexible-use approach will make AT a motivating addition to school-based therapy.

Indexed as

Augmented RealityPhysical Therapy ModalitiesSchool Health ServicesChildFeasibility StudiesFemaleHumansMaleSchoolsStudentsaugmented realityexergamingpatient participationPhysical therapystudents

Identifiers

PMID40450391
PMCPMC12128126

What OpenQuestion holds

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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.