Evidence map›Paper›PMID 37904015›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2024

Performance-based outcome measures of upper extremity in virtual reality and telerehabilitation: a systematic review.

Jie Hao, Yanfei Li, Andréas Remis, Zhengting He, Zixuan Yao, Yuqi Pu

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 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

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

2 citing papers in PubMed.

  1. Trial
  2. Review
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.

Jie HaoDepartment of Health & Rehabilitation Sciences, College of Allied Health Professions, University of Nebraska Medical Center, Omaha, NE, 68198, USA. jie.hao.unmc@outlook.com.ORCID http://orcid.org/0000-0002-1602-4686
Yanfei LiDepartment of Health & Rehabilitation Sciences, College of Allied Health Professions, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Andréas RemisHealth Research Association of Keck Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
Zhengting HeDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA.
Zixuan YaoDepartment of Rehabilitation Medicine, Beijing Hospital, National Center of Gerontology, Institution of Geriatric Medicine, Chinese Academy of Medical Science, Beijing, 100051, People's Republic of China.
Yuqi PuDepartment of Health & Rehabilitation Sciences, College of Allied Health Professions, University of Nebraska Medical Center, Omaha, NE, 68198, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis systematic review aimed to identify and synthesize evidence regarding measurement properties of upper extremity performance-based outcome measures performed in virtual reality or in telerehabilitation to inform clinical applications and research endeavors.

methodsFive bibliographic databases, PubMed, Embase, CINAHL, APA PsycINFO, and Scopus, were searched on July 12, 2023. Studies assessing the measurement properties (reliability, validity, responsiveness) of upper extremity performance-based outcome measures in virtual reality and telerehabilitation were eligible for inclusion. The COSMIN risk of bias checklist was used for methodological quality assessment. Study selection, data extraction, and quality assessment were completed by two independent reviewers.

resultsA total of 240 records were identified from the five databases. Nine cross-sectional studies published from 2016 to 2023 were included. Participants included 210 patients with neurological conditions and 184 healthy subjects. In virtual reality studies, four implemented the Box and Block Test, one the Arm Research Action Test, and one the Peg Insertion Test. In telerehabilitation studies, three implemented the Fugl-Meyer Assessment Upper Extremity. For quality assessment, one study was rated inadequate, one was rated doubtful, and all others demonstrated adequate to good quality. Most studies demonstrated good test-retest reliability and concurrent validity to the original in-person assessments.

conclusionImplementing upper extremity performance-based outcome measures in virtual reality and telerehabilitation is feasible and promising. Further studies are warranted to develop and refine remote assessment paradigms and validate them on a larger scale to inform clinical application and promote digital health in rehabilitation.

Indexed as

Outcome Assessment, Health CareTelerehabilitationUpper ExtremityVirtual RealityHumansArmAssessmentDigital healthTelehealthVirtual reality

Identifiers

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.