Evidence map›Paper›PMID 41321172›Full record

ArticleBehavior modification2026

Wearable Technology to Measure the Occurrence of Self-Injury During a Functional Analysis.

Leslie Neely, Katherine Holloway, Samantha Miller, Karen Cantero, Adel Alaeddini, Sakiko Oyama

Abstract read
In one paragraph

Article in Behavior modification, 2026. 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

6 authors.

Leslie NeelyUniversity of Texas at San Antonio, USA.ORCID 0000-0002-2171-3304
Katherine HollowayUniversity of Texas at San Antonio, USA.
Samantha MillerUniversity of Texas at San Antonio, USA.
Karen CanteroUniversity of Texas at San Antonio, USA.
Adel AlaeddiniSouthern Methodist University, Dallas, TX, USA.
Sakiko OyamaUniversity of Texas at San Antonio, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conducting a functional analysis (FA) is considered the gold standard for assessing the function of disruptive behavior and informing function-based treatment plans for individuals with autism and developmental disabilities. However, data collected during FAs are subject to human error. Accelerometers are wearable sensors that capture an individual's movement and can be used to identify behavioral events. The purpose of this study was to pilot the use of accelerometers to identify the occurrence of self-injurious behavior events during a FA. Three participants with autism, who engaged in self-hitting behaviors, participated in this study. Researchers conducted a FA with the participants while they wore small accelerometer devices. Observational data were collected using (1) live observation ("clinical-grade"), (2) from frame-by-frame video analysis ("research-grade"), and (3) via accelerometers. Researchers calculated interobserver agreement across data sets. Discussion of results and recommendations for practice and future research are included.

Indexed as

AccelerometryAutistic DisorderSelf-Injurious BehaviorWearable Electronic DevicesChildFemaleHumansMalePilot Projectsfunctional analysismeasurementwearable technology

Identifiers

PMID41321172
PMCPMC13053866

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.