Evidence map›Paper›PMID 37310748›Full record

Observational studyThe American journal of occupational therapy : official publication of the American Occupational Therapy Association2023

Motor Assessment With the STEGA iPad App to Measure Handwriting in Children.

Benjamin A Philip, Fuhai Li, Elizabeth Hawkins-Chernof, Ling Chen, Victoria Swamidass, Igor Zwir

Abstract readObservational Study
In one paragraph

Observational study in The American journal of occupational therapy : official publication of the American Occupational Therapy Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Prediction of Functional Academic Outcomes by Fine Motor Skills in Individuals With Sickle Cell Disease.The American journal of occupational therapy : official publication of the American Occupational Therapy Association · 2024
    Article
  5. Article
  6. 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

6 authors.

Benjamin A PhilipBenjamin A. Philip, PhD, is Assistant Professor, Program in Occupational Therapy, School of Medicine, Washington University in St. Louis, St. Louis, MO; bphilip@wustl.edu.
Fuhai LiFuhai Li, PhD, is Assistant Professor, Institute for Informatics, Department of Pediatrics, School of Medicine, Washington University in St. Louis, St. Louis, MO.
Elizabeth Hawkins-ChernofElizabeth Hawkins-Chernof, OTD, is Assistant Professor, Program in Occupational Therapy, Maryville University, St. Louis, MO. At the time the research was conducted, Hawkins-Chernof was Lecturer, Program in Occupational Therapy, School of Medicine, Washington University in St. Louis, St. Louis, MO.
Ling ChenLing Chen, MD, PhD, is Assistant Professor, Division of Biostatistics, School of Medicine, Washington University in St. Louis, St. Louis, MO.
Victoria SwamidassVictoria Swamidass, MBA, is CEO, PlatformSTL, St. Louis, MO.
Igor ZwirIgor Zwir, PhD, is Associate Professor, Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; Associate Professor, Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO; and Associate Professor, Institute of Neuroscience, University of Rio Grande Valley, Harlingen, TX.

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Quantitative Handwriting Assessment Tool for Healthy and Impaired ChildrenR41HD097833 · NICHD · NEWVENTUREIQ, LLC · PI PHILIP, BENJAMIN ALLEN · 2018 to 2018
$241k
NCATS NIH HHS UL1 TR000448NICHD NIH HHS R41 HD097833
6 · The paper itself

Abstract

importanceHandwriting and the fine motor control (hand and fingers) underlying it are key indicators of numerous motor disorders, especially among children. However, current assessment methods are expensive, slow, and subjective, leading to a lack of knowledge about the relationship between handwriting and motor control.

objectiveTo develop and validate the iPad precision drawing app Standardized Tracing Evaluation and Grapheme Assessment (STEGA) to enable rapid quantitative assessment of fine motor control and handwriting.

designCross-sectional, single-arm observational study.

settingAcademic research institution.

participantsFifty-seven typically developing right-handed children ages 9 to 12 yr with knowledge of cursive. OUTCOMES AND MEASURES: Predicted quality, measured as the correlation between handwriting letter legibility (Evaluation Tool of Children's Handwriting-Cursive [ETCH-C]) and predicted legibility (calculated from STEGA's 120 Hz, nine-variable data).

resultsSTEGA successfully predicted handwriting (r2 = .437, p < .001) using a support vector regression method. Angular error was the most important aspect of STEGA performance. STEGA was much faster to administer than the ETCH-C (M = 6.7 min, SD = 1.3, versus M = 19.7 min, SD = 5.2). CONCLUSIONS AND RELEVANCE: Assessment of motor control (and especially pen direction control) may provide a meaningful, objective way to assess handwriting. Future studies are needed to validate STEGA with a wider age range, but the initial results indicate that STEGA can provide the first rapid, quantitative, high-resolution, telehealth-capable assessment of the motor control that underpins handwriting. What This Article Adds: The ability to control pen direction may be the most important motor skill for successful handwriting. STEGA may provide the first criterion standard for the fine motor control skills that underpin handwriting, suitable for rehabilitation research and practice.

Indexed as

Mobile ApplicationsChildCross-Sectional StudiesFingersHandHandwritingHumans

Identifiers

PMID37310748
PMCPMC10321684

What OpenQuestion holds

Textmetadata
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.