Evidence map›Paper›PMID 32940621›Full record

Observational studyJournal of medical Internet research2020

Comparison of a Mobile Health Electronic Visual Analog Scale App With a Traditional Paper Visual Analog Scale for Pain Evaluation: Cross-Sectional Observational Study.

Alexandra Turnbull, Dean Sculley, Carles Escalona-Marfil, Lluís Riu-Gispert, Jorge Ruiz-Moreno, Xavier Gironès, Andrea Coda

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.2field-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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. [Practice guideline for adult burn rehabilitation nursing (2026 edition)].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2026
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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

7 authors at 2 institutions in 2 countries.

Alexandra Turnbull *School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Ourimbah, Australia.ORCID 0000-0003-4192-3592
Dean Sculley *School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, The University of Newcastle, Ourimbah, Australia.ORCID 0000-0003-3972-8309
Carles Escalona-Marfil *Facultat de Ciències de la Salut de Manresa, Universitat de Vic-Universitat Central de Catalunya, Manresa, Spain.ORCID 0000-0003-3028-9557
Lluís Riu-Gispert *Facultat de Ciències de la Salut de Manresa, Universitat de Vic-Universitat Central de Catalunya, Manresa, Spain.ORCID 0000-0002-4309-4516
Jorge Ruiz-Moreno *MIXESTAT SL, Barcelona, Spain.ORCID 0000-0003-3440-6044
Xavier Gironès *Facultat de Ciències de la Salut de Manresa, Universitat de Vic-Universitat Central de Catalunya, Manresa, Spain.ORCID 0000-0002-2329-5927
Andrea Coda *School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Ourimbah, Australia.ORCID 0000-0003-0427-6672
Hunter Water · AUUniversitat de Vic - Universitat Central de Catalunya · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate quantification of pain in a clinical setting is vital. The use of an electronic pain scale enables data to be collected, analyzed, and utilized much faster compared with traditional paper-based scales. The advancement of smart technology in pediatric and adult pain evaluation may offer opportunities to introduce easy-to-use and reliable pain assessment methods within different clinical settings. If promptly introduced within different pediatric and adult pain clinic services, validated and easily accessible mobile health pain apps may lead to early pain detection, promoting improvement in patient's quality of life and leading to potentially less time off from school or work.

objectiveThis cross-sectional observational study aimed to investigate the interchangeability of an electronic visual analog scale (eVAS) app with a traditional paper visual analog scale (pVAS) among Australian children, adolescents, and adults for pain evaluation.

methodsHealthy participants (age range 10-75 years) were recruited from a sporting club and a secondary school in Melbourne (Australia). The data collection process involved application of pressure (8.5 kg/cm

resultsOverall, 109 healthy participants were recruited. Adults (mean age 42.43 years, SD 14.50 years) had excellent reliability, with an intraclass correlation coefficient (ICC) of 0.94 (95% CI 0.91-0.96). Children and adolescents (mean age 13.91 years, SD 2.89 years) had moderate-to-good intermethod and intramethod reliabilities, with an ICC of 0.80 (95% CI 0.70-0.87) and average ICC of 0.80 (95% CI 0.69-0.87), respectively.

conclusionsThe eVAS app appears to be interchangeable compared with the traditional pVAS among children, adolescents, and adults. This pain evaluation method may offer new opportunities to introduce user-friendly and validated pain assessment apps for patients, clinicians, and allied health professionals.

Indexed as

AdolescentAdultAgedChildCross-Sectional StudiesElectronicsFemaleHumansMaleMiddle AgedMobile ApplicationsPain MeasurementQuality of LifeReproducibility of ResultsTelemedicineVisual Analog Scaledigital healtheHealthelectronic visual analog scalemHealthmobile apppainreliabilitysymptomvisual analog scale

Identifiers

PMID32940621
PMCPMC7530698
OpenAlexW3087053801

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.