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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Feb 28, 2019
Date Accepted: Nov 29, 2019

The final, peer-reviewed published version of this preprint can be found here:

Validation of an Electronic Visual Analog Scale mHealth Tool for Acute Pain Assessment: Prospective Cross-Sectional Study

Escalona-Marfil C, Gironès X, Ruiz-Moreno J, Riu-Gispert LM, Coda A

Validation of an Electronic Visual Analog Scale mHealth Tool for Acute Pain Assessment: Prospective Cross-Sectional Study

J Med Internet Res 2020;22(2):e13468

DOI: 10.2196/13468

PMID: 32049063

PMCID: 7055746

The Electronic version of the Visual Analogue Scale is interchangeable with the traditional paper version for acute pain: a prospective observational cross-sectional study

  • Carles Escalona-Marfil; 
  • Xavier Gironès; 
  • Jorge Ruiz-Moreno; 
  • Lluis Miquel Riu-Gispert; 
  • Andrea Coda

ABSTRACT

Background:

An accurate measurement of pain is required to improve its management and research. The Visual Analog Scale (VAS) on paper format has been shown to be an accurate, valid, reliable and reproducible way to measure pain intensity. However, some limitations should be considered, some of which can be implemented with the introduction of an electronic VAS version, suitable to be used both in a tablet and a smartphone.

Objective:

This study aims to validate a new method of recording pain level by comparing the traditional paper VAS with the “Pain Level” module, included in the newly designed App “Interactive Clinics”.

Methods:

A prospective observational cross-sectional study was designed. The sample consisted on 102 participants, aged 18 to 65 years old. A Force Dial algometer was employed to induce mild pressure symptoms at the participants’ thumbs. Pain was measured using a paper VAS (10 cm line) and the app. Inter-method and intra-method reliability were assessed using both Intraclass Correlation Coefficient and Bland-Altman analysis.

Results:

The inter-method reliability estimated by ICC (3,1) was 0.8588 with a 95% confidence interval of 0.8139 to 0.8961, indicating a good-reliability. The intra-method reliability estimated by ICCa(3,1) was 0.8588 with a 95% confidence interval of 0.8088 to 0.8976 also indicating a good-reliability. Bland-Altman analysis showed a difference (SD) of 0.175 (0.49) and limits of agreement ranged from -0.79 to 1.14.

Conclusions:

The “Pain Level” module is highly reliable and interchangeable with paper VAS version. This tool could potentially help clinicians and researchers to precisely asses pain in a simple, economical way with the use of a ubiquitous technology. Clinical Trial: This study was approved by the Comitè d’Ètica en Recerca from U. Vic – UCC, number 48/2018.


 Citation

Please cite as:

Escalona-Marfil C, Gironès X, Ruiz-Moreno J, Riu-Gispert LM, Coda A

Validation of an Electronic Visual Analog Scale mHealth Tool for Acute Pain Assessment: Prospective Cross-Sectional Study

J Med Internet Res 2020;22(2):e13468

DOI: 10.2196/13468

PMID: 32049063

PMCID: 7055746

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