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

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

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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

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

Background:

Accurate measurement of pain is required to improve its management and in 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 aimed to validate a new method of recording pain level by comparing the traditional paper VAS with the pain level module on the newly designed Interactive Clinics app.

Methods:

A prospective observational cross-sectional study was designed. The sample consisted of 102 participants aged 18 to 65 years. A Force Dial FDK 20 algometer (Wagner Instruments) was employed to induce mild pressure symptoms on the participants’ thumbs. Pain was measured using a paper VAS (10 cm line) and the app.

Results:

Intermethod reliability estimated by ICC(3,1) was 0.86 with a 95% confidence interval of 0.81 to 0.90, indicating good reliability. Intramethod reliability estimated by ICCa(3,1) was 0.86 with a 95% confidence interval of 0.81 to 0.90, also indicating good reliability. Bland-Altman analysis showed a difference of 0.175 (0.49), and limits of agreement ranged from –0.79 to 1.14.

Conclusions:

The pain level module on the app is highly reliable and interchangeable with the paper VAS version. This tool could potentially help clinicians and researchers precisely assess pain in a simple, economic way with the use of a ubiquitous technology.


 Citation

Please cite as:

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

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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