Evidence map›Paper›PMID 36287606›Full record

ArticleJMIR pediatrics and parenting2022

Validation of an Electronic Visual Analog Scale App for Pain Evaluation in Children and Adolescents With Symptomatic Hypermobility: Cross-sectional Study.

Muhammad Maarj, Verity Pacey, Louise Tofts, Matthew Clapham, Xavier Gironès Garcia, Andrea Coda

Open access · goldAbstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.6field-weighted citation impact, top 6% 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, 12 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Muhammad MaarjSchool of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Ourimbah, Australia.ORCID https://orcid.org/0000-0003-4002-3664
Verity PaceyDepartment of Health Sciences, Macquarie University, Sydney, Australia.ORCID https://orcid.org/0000-0002-5577-2732
Louise ToftsDepartment of Health Sciences, Macquarie University, Sydney, Australia.ORCID https://orcid.org/0000-0002-3961-0493
Matthew ClaphamHunter Medical Research Institute, Equity in Health and Wellbeing Research Program, New Lambton Heights, New South Wales, Australia.ORCID https://orcid.org/0000-0002-3438-8862
Xavier Gironès GarciaFacultat de Ciències de la Salut de Manresa, Universitat de Vic-Universitat Central de Catalunya, Manresa, Spain.ORCID https://orcid.org/0000-0002-2329-5927
Andrea CodaSchool of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Ourimbah, Australia.ORCID https://orcid.org/0000-0003-0427-6672
Hunter Water · AUMacquarie University · AUHunter Medical Research Institute · AUUniversitat de Vic - Universitat Central de Catalunya · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid advances in mobile apps for clinical data collection for pain evaluation have resulted in more efficient data handling and analysis than traditional paper-based approaches. As paper-based visual analogue scale (p-VAS) scores are commonly used to assess pain levels, new emerging apps need to be validated prior to clinical application with symptomatic children and adolescents.

objectiveThis study aimed to assess the validity and reliability of an electronic visual analogue scale (e-VAS) method via a mobile health (mHealth) App in children and adolescents diagnosed with hypermobility spectrum disorder/hypermobile Ehlers-Danlos syndrome (HSD/HEDS) in comparison with the traditional p-VAS.

methodsChildren diagnosed with HSD/HEDS aged 5-18 years were recruited from a sports medicine center in Sydney (New South Wales, Australia). Consenting participants assigned in random order to the e-VAS and p-VAS platforms were asked to indicate their current lower limb pain level and completed pain assessment e-VAS or p-VAS at one time point. Instrument agreement between the 2 methods was determined from the intraclass correlation coefficient (ICC) and through Bland-Altman analysis.

resultsIn total, 43 children with HSD/HEDS aged 11 (SD 3.8) years were recruited and completed this study. The difference between the 2 VAS platforms of median values was 0.20. Bland-Altman analysis revealed a difference of 0.19 (SD 0.95) with limits of agreement ranging -1.67 to 2.04. An ICC of 0.87 (95% CI 0.78-0.93) indicated good reliability.

conclusionsThese findings suggest that the e-VAS mHealth App is a validated tool and a feasible method of collecting pain recording scores when compared with the traditional paper format in children and adolescents with HSD/HEDS. The e-VAS App can be reliably used for pediatric pain evaluation, and it could potentially be introduced into daily clinical practice to improve real-time symptom monitoring. Further research is warranted to investigate the usage of the app for remote support in real clinical settings.

Indexed as

adolescentchildchildrendigital health toolEhlers-Danlos syndromehypermobilehypermobilityhypermobility syndromemeasuremHealthmobile appmobile applicationmobile healthpainpain measurementpain severitypediatricscalevalidatevalidationvisual analogue scaleyouth

Identifiers

PMID36287606
PMCPMC9647467
OpenAlexW4296886705

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.