Evidence map›Paper›PMID 39446480›Full record

ArticleJMIR formative research2024

Exploring the Impact of an Interactive Electronic Pegboard on Manual Dexterity and Cognitive Skills of Patients With Stroke: Preliminary Analysis.

Shih-Ying Chien, Ching-Yi Wu, Alice May-Kuen Wong, Chih-Kuang Chen, Sara L Beckman

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Shih-Ying ChienDepartment of Industrial Design, Chang Gung University, Taoyuan, Taiwan.ORCID 0000-0001-9364-1525
Ching-Yi WuDepartment of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.ORCID 0000-0003-4726-2916
Alice May-Kuen WongDepartment of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.ORCID 0000-0002-8258-1261
Chih-Kuang ChenDepartment of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.ORCID 0000-0002-0885-9018
Sara L BeckmanHaas School of Business, University of California, Berkeley, Berkeley, CA, United States.ORCID 0000-0001-9536-2108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs individuals age, the incidence and mortality rates of cerebrovascular accidents significantly rise, leading to fine motor impairments and cognitive deficits that impact daily life. In modern occupational therapy, assessing manual dexterity and cognitive functions typically involves observation of patients interacting with physical objects. However, this pen-and-paper method is not only time-consuming, relying heavily on therapist involvement, but also often inaccurate. Digital assessment methods, therefore, have the potential to increase the accuracy of diagnosis, as well as decrease the workload of health care professionals.

objectiveThis study examined the feasibility of an interactive electronic pegboard for the assessment and rehabilitation of patients with stroke.

methodsWe explored the pegboard's clinical applicability by examining the relationship among stages, timing, and difficulty settings, as well as their alignment with patient capabilities. In total, 10 participants used a prototype of the pegboard for functional and task assessments; questionnaire interviews were conducted simultaneously to collect user feedback.

resultsPatients with stroke consistently required more time to complete tasks than expected, significantly deviating from the initial time frames. Additionally, the participants exhibited a slight reduction in performance levels in both manual dexterity and cognitive abilities. Insights from questionnaire responses revealed that the majority of participants found the prototype interface easy and enjoyable to use, with good functionality.

conclusionsThis preliminary investigation supports the efficacy of interactive electronic pegboards for the rehabilitation of the hand functions of patients with stroke, as well as training their attentional and cognitive abilities. This digital technology could potentially alleviate the burden of health care workers, positioning it as a valuable and intelligent precision health care tool.

Indexed as

Stroke RehabilitationAdultAgedCognitionFemaleHumansMaleMiddle AgedMotor SkillsOccupational TherapyStrokeSurveys and QuestionnairesTask Performance and Analysiscognitive rehabilitationhand dexterityinteractive electronic pegboardstrokesystem

Identifiers

PMID39446480
PMCPMC11544338

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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.