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The Graphical Index of Pain: a new web-based method for high-throughput screening of pain
This article is the first to present the Graphical Index of Pain (GRIP), a new user-friendly web-based method for high-throughput screening of pain. The long-term goal of the method is to improve global standardization of pain measurements. GRIP consists of a hierarchical body map with 10 first-tier...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497597/ https://www.ncbi.nlm.nih.gov/pubmed/32345913 http://dx.doi.org/10.1097/j.pain.0000000000001899 |
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author | Steingrímsdóttir, Ólöf Anna Engdahl, Bo Hansson, Per Stubhaug, Audun Nielsen, Christopher Sivert |
author_facet | Steingrímsdóttir, Ólöf Anna Engdahl, Bo Hansson, Per Stubhaug, Audun Nielsen, Christopher Sivert |
author_sort | Steingrímsdóttir, Ólöf Anna |
collection | PubMed |
description | This article is the first to present the Graphical Index of Pain (GRIP), a new user-friendly web-based method for high-throughput screening of pain. The long-term goal of the method is to improve global standardization of pain measurements. GRIP consists of a hierarchical body map with 10 first-tier body regions, and a second tier with multiple pain loci (167 among men, 168 among women), which provides detailed information about pain location and distribution. Follow-up questions for first-tier regions include the following pain characteristics: onset, episode frequency, episode duration (including constant pain), intensity, bothering, depth of pain, and effects on sleep and daily activities. The first implementation of GRIP was in the Tromsø Study (2015-2016), a population-based study of adults aged 40 to 99 years. In total, 21,083 individuals participated in the study, and 96% (n = 20,263; age 40-96 years) completed GRIP. Pain intensity at first-tier regions and pain location and distribution at second-tier regions are in this article presented by sex-stratified customized heat maps showing large sex difference. Mean time to mark the first- and second-tier regions was 74 seconds. In conclusion, GRIP allows for high-resolution assessment and presentation of pain location and distribution with minimal use of time. |
format | Online Article Text |
id | pubmed-7497597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer |
record_format | MEDLINE/PubMed |
spelling | pubmed-74975972020-09-24 The Graphical Index of Pain: a new web-based method for high-throughput screening of pain Steingrímsdóttir, Ólöf Anna Engdahl, Bo Hansson, Per Stubhaug, Audun Nielsen, Christopher Sivert Pain Research Paper This article is the first to present the Graphical Index of Pain (GRIP), a new user-friendly web-based method for high-throughput screening of pain. The long-term goal of the method is to improve global standardization of pain measurements. GRIP consists of a hierarchical body map with 10 first-tier body regions, and a second tier with multiple pain loci (167 among men, 168 among women), which provides detailed information about pain location and distribution. Follow-up questions for first-tier regions include the following pain characteristics: onset, episode frequency, episode duration (including constant pain), intensity, bothering, depth of pain, and effects on sleep and daily activities. The first implementation of GRIP was in the Tromsø Study (2015-2016), a population-based study of adults aged 40 to 99 years. In total, 21,083 individuals participated in the study, and 96% (n = 20,263; age 40-96 years) completed GRIP. Pain intensity at first-tier regions and pain location and distribution at second-tier regions are in this article presented by sex-stratified customized heat maps showing large sex difference. Mean time to mark the first- and second-tier regions was 74 seconds. In conclusion, GRIP allows for high-resolution assessment and presentation of pain location and distribution with minimal use of time. Wolters Kluwer 2020-10 2020-04-24 /pmc/articles/PMC7497597/ /pubmed/32345913 http://dx.doi.org/10.1097/j.pain.0000000000001899 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the International Association for the Study of Pain. This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Research Paper Steingrímsdóttir, Ólöf Anna Engdahl, Bo Hansson, Per Stubhaug, Audun Nielsen, Christopher Sivert The Graphical Index of Pain: a new web-based method for high-throughput screening of pain |
title | The Graphical Index of Pain: a new web-based method for high-throughput screening of pain |
title_full | The Graphical Index of Pain: a new web-based method for high-throughput screening of pain |
title_fullStr | The Graphical Index of Pain: a new web-based method for high-throughput screening of pain |
title_full_unstemmed | The Graphical Index of Pain: a new web-based method for high-throughput screening of pain |
title_short | The Graphical Index of Pain: a new web-based method for high-throughput screening of pain |
title_sort | graphical index of pain: a new web-based method for high-throughput screening of pain |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497597/ https://www.ncbi.nlm.nih.gov/pubmed/32345913 http://dx.doi.org/10.1097/j.pain.0000000000001899 |
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