Evidence map›Paper›PMID 35331273›Full record

ArticleJournal of neuroengineering and rehabilitation2022

A novel tablet-based application for assessment of manual dexterity and its components: a reliability and validity study in healthy subjects.

Ayah Rabah, Quentin Le Boterff, Loïc Carment, Narjes Bendjemaa, Maxime Térémetz, Lucile Dupin, Macarena Cuenca, Jean-Louis Mas, Marie-Odile Krebs, Marc A Maier and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  3. Observational
  4. Article
  5. Article
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  7. 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

11 authors at 5 institutions in 1 country.

Ayah RabahInstitut de Psychiatrie et Neurosciences de Paris, Inserm U1266, Université Paris Cité, 75014, Paris, France.
Quentin Le BoterffInstitut de Psychiatrie et Neurosciences de Paris, Inserm U1266, Université Paris Cité, 75014, Paris, France.
Loïc CarmentInstitut de Psychiatrie et Neurosciences de Paris, Inserm U1266, Université Paris Cité, 75014, Paris, France.
Narjes BendjemaaInstitut de Psychiatrie et Neurosciences de Paris, Inserm U1266, Université Paris Cité, 75014, Paris, France.
Maxime TérémetzInstitut de Psychiatrie et Neurosciences de Paris, Inserm U1266, Université Paris Cité, 75014, Paris, France.
Lucile DupinInstitut de Psychiatrie et Neurosciences de Paris, Inserm U1266, Université Paris Cité, 75014, Paris, France.
Macarena CuencaCentre de Recherche Clinique, GHU, GHU Paris Psychiatrie & Neurosciences, 75014, Paris, France.
Jean-Louis MasInstitut de Psychiatrie et Neurosciences de Paris, Inserm U1266, Université Paris Cité, 75014, Paris, France.
Marie-Odile KrebsInstitut de Psychiatrie et Neurosciences de Paris, Inserm U1266, Université Paris Cité, 75014, Paris, France.
Marc A MaierUniversité Paris Cité, INCC UMR 8002, CNRS, 75006, Paris, France.
Påvel G LindbergInstitut de Psychiatrie et Neurosciences de Paris, Inserm U1266, Université Paris Cité, 75014, Paris, France. pavel.lindberg@inserm.fr.
Université Paris Cité · FRInstitut de Psychiatrie et Neurosciences de Paris · FRGHU Paris psychiatrie & neurosciencesInserm · FRSorbonne Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe developed five tablet-based tasks (applications) to measure multiple components of manual dexterity.

aimto test reliability and validity of tablet-based dexterity measures in healthy participants.

methodsTasks included: (1) Finger recognition to assess mental rotation capacity. The subject taps with the finger indicated on a virtual hand in three orientations (reaction time, correct trials). (2) Rhythm tapping to evaluate timing of finger movements performed with, and subsequently without, an auditory cue (inter-stimulus interval). (3) Multi-finger tapping to assess independent finger movements (reaction time, correct trials, unwanted finger movements). (4) Sequence tapping to assess production and memorization of visually cued finger sequences (successful taps). (5) Line-tracking to assess movement speed and accuracy while tracking an unpredictably moving line on the screen with the fingertip (duration, error). To study inter-rater reliability, 34 healthy subjects (mean age 35 years) performed the tablet tasks twice with two raters. Relative reliability (Intra-class correlation, ICC) and absolute reliability (Standard error of measurement, SEM) were established. Task validity was evaluated in 54 healthy subjects (mean age 49 years, range: 20-78 years) by correlating tablet measures with age, clinical dexterity assessments (time taken to pick-up objects in Box and Block Test, BBT and Moberg Pick Up Test, MPUT) and with measures obtained using a finger force-sensor device.

resultsMost timing measures showed excellent reliability. Poor to excellent reliability was found for correct trials across tasks, and reliability was poor for unwanted movements. Inter-session learning occurred in some measures. Age correlated with slower and more variable reaction times in finger recognition, less correct trials in multi-finger tapping, and slower line-tracking. Reaction times correlated with those obtained using a finger force-sensor device. No significant correlations between tablet measures and BBT or MPUT were found. Inter-task correlation among tablet-derived measures was weak.

conclusionsMost tablet-based dexterity measures showed good-to-excellent reliability (ICC ≥ 0.60) except for unwanted movements during multi-finger tapping. Age-related decline in performance and association with finger force-sensor measures support validity of tablet measures. Tablet-based components of dexterity complement conventional clinical dexterity assessments. Future work is required to establish measurement properties in patients with neurological and psychiatric disorders.

Indexed as

StrokeAdultHandHealthy VolunteersHumansMiddle AgedReproducibility of ResultsUpper ExtremityAgingDigital medicineInter-rater reliabilityManual dexterityMeasurementReliabilityTablet applicationValidity

Identifiers

PMID35331273
PMCPMC8953393
OpenAlexW4221048856

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.