Evidence map›Paper›PMID 37323972›Full record

ArticleJournal of hand surgery global online2023

Next-Generation Remote Hand Assessments: Cross-Platform DIGITS Web Application.

Hongdao Dong, Herbert Shin, Edward Ho, Helen Jingshu Jin, Sasha Letourneau, Tania Banerjee, Geoffrey Masschelein, Jacob Davidson, Claire Wilson, Sandrine de Ribaupierre and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of hand surgery global online, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Hongdao DongSchulich School of Medicine and Dentistry, Western University, London, ON.
Herbert ShinFaculty of Engineering, Western University, London, ON.
Edward HoSchulich School of Medicine and Dentistry, Western University, London, ON.
Helen Jingshu JinSchulich School of Medicine and Dentistry, Western University, London, ON.
Sasha LetourneauSchulich School of Medicine and Dentistry, Western University, London, ON.
Tania BanerjeeFaculty of Engineering, Western University, London, ON.
Geoffrey MasscheleinSchulich School of Medicine and Dentistry, Western University, London, ON.
Jacob DavidsonDepartment of Surgery, London Health Sciences Centre, London, ON.
Claire WilsonDepartment of Surgery, London Health Sciences Centre, London, ON.
Sandrine de RibaupierreSchulich School of Medicine and Dentistry, Western University, London, ON.
Roy EaglesonFaculty of Engineering, Western University, London, ON.
Caitlin Jane SymonetteSchulich School of Medicine and Dentistry, Western University, London, ON.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We have previously developed DIGITS, a platform for remote evaluation of range of motion, dexterity, and swelling of fingers for reducing barriers to accessing clinical resources. The current study was aimed at evaluating DIGITS across different devices with varied operating systems and camera resolutions using a single person's hands. Methods: Our team has now developed a web application version of the DIGITS platform, which makes it accessible on any device that is equipped with a camera, including computers, tablets, and smartphones. In the present study, we aimed to validate this web application by comparing flexion and extension measurements on the same person's hands using three different devices with cameras of different resolutions. The absolute difference, SD, standard mean error, and intraclass correlation coefficient were calculated. Additionally, equivalency testing was performed using the confidence interval approach. Results: Our findings indicated that the differences in degree measured between the devices ranged from 2° to 3° when digit extension was assessed (all hand landmarks are visible in the camera's direct view) and from 3° to 8° when digit flexion was assessed (some of the hand landmarks are hidden from view). The intraclass correlation coefficient of individual trials ranged from 0.82 to 0.96 for extension and 0.77 to 0.87 for flexion across all devices. Additionally, within a 90% confidence interval, our data showed equivalency with measurements using three different devices. Conclusions: The absolute differences were within an acceptable 9° tolerance for measurements taken between devices for flexion and extension. Equivalency was observed for measurements of finger range of motion taken using DIGITS, regardless of devices, platforms, or camera resolutions. Clinical relevance: In summary, the DIGITS web application has good test-retest reliability to generate data on finger range of motion for hand telerehabilitation. DIGITS can reduce costs to patients, providers, and health care facilities for conducting postoperative follow-up assessments.

Indexed as

Computer visionHand surgeryPlastic surgeryRange of motionTelerehabilitation

Identifiers

PMID37323972
PMCPMC10264844

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LicenceCC BY-NC-ND
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Registered trials

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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.