Evidence map›Paper›PMID 40838217›Full record

ArticleACM transactions on accessible computing2023

Accuracy and Reliability of At-home Quantification of Motor Impairments Using a Computer-based Pointing Task with Children with Ataxia-Telangiectasia.

Vineet Pandey, Nergis C Khan, Anoopum S Gupta, Krzysztof Z Gajos

Abstract read
In one paragraph

Article in ACM transactions on accessible computing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Observational
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Vineet PandeyJohn A Paulson School of Engineering and Applied Sciences, Harvard University, Allston, MA, 02134, USA.
Nergis C KhanDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Anoopum S GuptaDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Krzysztof Z GajosJohn A Paulson School of Engineering and Applied Sciences, Harvard University, Allston, MA, 02134, USA.

Funding

A Computational Approach for Quantifying Motor Behaviors in Spinocerebellar Ataxias to Improve Early Detection of Motor Signs and Precisely Estimate Disease Severity and Disease ChangeR01NS117826 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GUPTA, ANOOPUM SATYAWAN · 2021 to 2025
$2.7M
Development of Real-World Motor Outcome Measures in Ataxia-TelangiectasiaR01NS134597 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Anoopum Satyawan Gupta · 2024 to 2026
$1.9M
NINDS NIH HHS R01 NS117826NINDS NIH HHS R01 NS134597
6 · The paper itself

Abstract

Methods for obtaining accurate quantitative assessments of motor impairments are essential in accessibility research, design of adaptive ability-based assistive technologies, as well as in clinical care and medical research. Currently, such assessments are typically performed in controlled laboratory or clinical settings under professional supervision. Emerging approaches for collecting data in unsupervised settings have been shown to produce valid data when aggregated over large populations, but it is not yet established if in unsupervised settings measures of research or clinical significance can be collected accurately and reliably for individuals. We conducted a study with 13 children with ataxia-telangiectasia and 9 healthy children to analyze the validity, test-retest reliability, and acceptability of at-home use of a recent active digital phenotyping system, called Hevelius. Hevelius produces 32 measures derived from the movement trajectories of the mouse cursor, and it produces a quantitative estimate of motor impairment in the dominant arm using the dominant arm component of the Brief Ataxia Rating Scale (BARS). The severity score estimates generated by Hevelius from single at-home sessions deviated from clinician-assigned BARS scores more than the severity score estimates generated from single sessions conducted under researcher supervision. However, taking a median of as few as 2 consecutive sessions produced severity score estimates that were as accurate or better than the estimates produced from single supervised sessions. Further, aggregating as few as 2 consecutive sessions resulted in good test-retest reliability (ICC = 0.81 for A-T participants). This work demonstrated the feasibility of performing accurate and reliable quantitative assessments of individual motor impairments in the dominant arm through tasks performed at home without supervision by the researchers. Further work is needed, however, to assess how broadly these results generalize.

Indexed as

active digital phenotypingataxiaataxia-telangiectasiamotor impairmentsremote assessment

Identifiers

PMID40838217
PMCPMC12363608

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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.