Relationship between the Widespread Pain Index and the PainMAP software for pain sites measurement in patients with Widespread Pain

Juliana Valentim Bittencourt; Jéssica Pinto Martins do Rio; Leticia Amaral Corrêa; Felipe José Jandre dos Reis; Arthur de Sá Ferreira; Leandro Alberto Calazans Nogueira

doi:10.5935/2595-0118.20230003-en

Relationship between the Widespread Pain Index and the PainMAP software for pain sites measurement in patients with Widespread Pain

Juliana Valentim Bittencourt, Jéssica Pinto Martins do Rio, Leticia Amaral Corrêa, Felipe José Jandre dos Reis, Arthur de Sá Ferreira, Leandro Alberto Calazans Nogueira

Research output: Contribution to journal › Article › peer-review

16 Downloads (Pure)

Abstract

Background and Objectives: Identifying pain sites is essential to managing patients with Widespread Pain. Several instruments have been developed, including pain drawings, a grid system and computerized methods. However, it is not yet known whether the Widespread Pain Index matches an automated method (painMAP) for quantifying the number of pain areas. Therefore, this study aimed to identify the relationship between the Widespread Pain Index and the painMAP software to measure pain sites in participants with Widespread Pain.

Methods: A pre-planned secondary analysis of data collected from 311 patients with musculoskeletal pain was conducted. The Widespread Pain Index and the painMAP software assessed pain sites. Spearman’s correlation coefficient investigated the correlation between the Widespread Pain Index and the painMAP software.

Results: A total of 98 participants with Widespread Pain were included in this study. Most participants were female (67; 83.7%), with a mean age of 57,7±11,5 years, mean height of 1.6 (0.1) meters and mean weight of 73.2 (11.8) kilograms. The mean pain intensity was 6.7 (2.0), and the pain duration was 92.3 (96.3) months. The mean number of pain sites in the Widespread Pain Index was 10.1 (3.7), and in the painMAP software, it was 11.7 (8.8). A weak positive correlation (rho = 0.26, 95% CI 0.45 to 0.04, p = 0.022) between the Widespread Pain Index and the painMAP software was found.

Conclusion: The Widespread Pain Index and the painMAP software showed a weak correlation for assessing pain sites in participants with Widespread Pain.

Original language	English
Pages (from-to)	5-10
Number of pages	6
Journal	Brazilian Journal of Pain
Volume	6
Issue number	1
DOIs	https://doi.org/10.5935/2595-0118.20230003-en
Publication status	Published - 2023
Externally published	Yes

Bibliographical note

Copyright the Publisher 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

Chronic Pain
Fibromyalgia
Pain management
Pain measurement

Access to Document

10.5935/2595-0118.20230003-en

Publisher version (open access)Final published version, 153 KBLicence: CC BY

Cite this

@article{acc1b1c014a44fac8b2ffe22bca4b996,

title = "Relationship between the Widespread Pain Index and the PainMAP software for pain sites measurement in patients with Widespread Pain",

abstract = "Background and Objectives: Identifying pain sites is essential to managing patients with Widespread Pain. Several instruments have been developed, including pain drawings, a grid system and computerized methods. However, it is not yet known whether the Widespread Pain Index matches an automated method (painMAP) for quantifying the number of pain areas. Therefore, this study aimed to identify the relationship between the Widespread Pain Index and the painMAP software to measure pain sites in participants with Widespread Pain.Methods: A pre-planned secondary analysis of data collected from 311 patients with musculoskeletal pain was conducted. The Widespread Pain Index and the painMAP software assessed pain sites. Spearman{\textquoteright}s correlation coefficient investigated the correlation between the Widespread Pain Index and the painMAP software.Results: A total of 98 participants with Widespread Pain were included in this study. Most participants were female (67; 83.7%), with a mean age of 57,7±11,5 years, mean height of 1.6 (0.1) meters and mean weight of 73.2 (11.8) kilograms. The mean pain intensity was 6.7 (2.0), and the pain duration was 92.3 (96.3) months. The mean number of pain sites in the Widespread Pain Index was 10.1 (3.7), and in the painMAP software, it was 11.7 (8.8). A weak positive correlation (rho = 0.26, 95% CI 0.45 to 0.04, p = 0.022) between the Widespread Pain Index and the painMAP software was found.Conclusion: The Widespread Pain Index and the painMAP software showed a weak correlation for assessing pain sites in participants with Widespread Pain.",

keywords = "Chronic Pain, Fibromyalgia, Pain management, Pain measurement",

author = "Bittencourt, {Juliana Valentim} and Rio, {J{\'e}ssica Pinto Martins do} and Corr{\^e}a, {Leticia Amaral} and Reis, {Felipe Jos{\'e} Jandre dos} and Ferreira, {Arthur de S{\'a}} and Nogueira, {Leandro Alberto Calazans}",

note = "Copyright the Publisher 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher. ",

year = "2023",

doi = "10.5935/2595-0118.20230003-en",

language = "English",

volume = "6",

pages = "5--10",

journal = "Brazilian Journal of Pain",

issn = "2595-0118",

publisher = "SciELO Brasil",

number = "1",

}

TY - JOUR

T1 - Relationship between the Widespread Pain Index and the PainMAP software for pain sites measurement in patients with Widespread Pain

AU - Bittencourt, Juliana Valentim

AU - Rio, Jéssica Pinto Martins do

AU - Corrêa, Leticia Amaral

AU - Reis, Felipe José Jandre dos

AU - Ferreira, Arthur de Sá

AU - Nogueira, Leandro Alberto Calazans

N1 - Copyright the Publisher 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2023

Y1 - 2023

N2 - Background and Objectives: Identifying pain sites is essential to managing patients with Widespread Pain. Several instruments have been developed, including pain drawings, a grid system and computerized methods. However, it is not yet known whether the Widespread Pain Index matches an automated method (painMAP) for quantifying the number of pain areas. Therefore, this study aimed to identify the relationship between the Widespread Pain Index and the painMAP software to measure pain sites in participants with Widespread Pain.Methods: A pre-planned secondary analysis of data collected from 311 patients with musculoskeletal pain was conducted. The Widespread Pain Index and the painMAP software assessed pain sites. Spearman’s correlation coefficient investigated the correlation between the Widespread Pain Index and the painMAP software.Results: A total of 98 participants with Widespread Pain were included in this study. Most participants were female (67; 83.7%), with a mean age of 57,7±11,5 years, mean height of 1.6 (0.1) meters and mean weight of 73.2 (11.8) kilograms. The mean pain intensity was 6.7 (2.0), and the pain duration was 92.3 (96.3) months. The mean number of pain sites in the Widespread Pain Index was 10.1 (3.7), and in the painMAP software, it was 11.7 (8.8). A weak positive correlation (rho = 0.26, 95% CI 0.45 to 0.04, p = 0.022) between the Widespread Pain Index and the painMAP software was found.Conclusion: The Widespread Pain Index and the painMAP software showed a weak correlation for assessing pain sites in participants with Widespread Pain.

AB - Background and Objectives: Identifying pain sites is essential to managing patients with Widespread Pain. Several instruments have been developed, including pain drawings, a grid system and computerized methods. However, it is not yet known whether the Widespread Pain Index matches an automated method (painMAP) for quantifying the number of pain areas. Therefore, this study aimed to identify the relationship between the Widespread Pain Index and the painMAP software to measure pain sites in participants with Widespread Pain.Methods: A pre-planned secondary analysis of data collected from 311 patients with musculoskeletal pain was conducted. The Widespread Pain Index and the painMAP software assessed pain sites. Spearman’s correlation coefficient investigated the correlation between the Widespread Pain Index and the painMAP software.Results: A total of 98 participants with Widespread Pain were included in this study. Most participants were female (67; 83.7%), with a mean age of 57,7±11,5 years, mean height of 1.6 (0.1) meters and mean weight of 73.2 (11.8) kilograms. The mean pain intensity was 6.7 (2.0), and the pain duration was 92.3 (96.3) months. The mean number of pain sites in the Widespread Pain Index was 10.1 (3.7), and in the painMAP software, it was 11.7 (8.8). A weak positive correlation (rho = 0.26, 95% CI 0.45 to 0.04, p = 0.022) between the Widespread Pain Index and the painMAP software was found.Conclusion: The Widespread Pain Index and the painMAP software showed a weak correlation for assessing pain sites in participants with Widespread Pain.

KW - Chronic Pain

KW - Fibromyalgia

KW - Pain management

KW - Pain measurement

U2 - 10.5935/2595-0118.20230003-en

DO - 10.5935/2595-0118.20230003-en

M3 - Article

SN - 2595-0118

VL - 6

SP - 5

EP - 10

JO - Brazilian Journal of Pain

JF - Brazilian Journal of Pain

IS - 1

ER -

Relationship between the Widespread Pain Index and the PainMAP software for pain sites measurement in patients with Widespread Pain

Abstract

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this