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Abstract Animations for the Communication and Assessment of Pain in Adults: Cross-Sectional Feasibility Study

BACKGROUND: Pain is the most common physical symptom requiring medical care, yet the current methods for assessing pain are sorely inadequate. Pain assessment tools can be either too simplistic or take too long to complete to be useful for point-of-care diagnosis and treatment. OBJECTIVE: The aim wa...

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Autores principales: Jonassaint, Charles R, Rao, Nema, Sciuto, Alex, Switzer, Galen E, De Castro, Laura, Kato, Gregory J, Jonassaint, Jude C, Hammal, Zakia, Shah, Nirmish, Wasan, Ajay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6098242/
https://www.ncbi.nlm.nih.gov/pubmed/30076127
http://dx.doi.org/10.2196/10056
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author Jonassaint, Charles R
Rao, Nema
Sciuto, Alex
Switzer, Galen E
De Castro, Laura
Kato, Gregory J
Jonassaint, Jude C
Hammal, Zakia
Shah, Nirmish
Wasan, Ajay
author_facet Jonassaint, Charles R
Rao, Nema
Sciuto, Alex
Switzer, Galen E
De Castro, Laura
Kato, Gregory J
Jonassaint, Jude C
Hammal, Zakia
Shah, Nirmish
Wasan, Ajay
author_sort Jonassaint, Charles R
collection PubMed
description BACKGROUND: Pain is the most common physical symptom requiring medical care, yet the current methods for assessing pain are sorely inadequate. Pain assessment tools can be either too simplistic or take too long to complete to be useful for point-of-care diagnosis and treatment. OBJECTIVE: The aim was to develop and test Painimation, a novel tool that uses graphic visualizations and animations instead of words or numeric scales to assess pain quality, intensity, and course. This study examines the utility of abstract animations as a measure of pain. METHODS: Painimation was evaluated in a chronic pain medicine clinic. Eligible patients were receiving treatment for pain and reported pain more days than not for at least 3 months. Using a tablet computer, participating patients completed the Painimation instrument, the McGill Pain Questionnaire (MPQ), and the PainDETECT questionnaire for neuropathic symptoms. RESULTS: Participants (N=170) completed Painimation and indicated it was useful for describing their pain (mean 4.1, SE 0.1 out of 5 on a usefulness scale), and 130 of 162 participants (80.2%) agreed or strongly agreed that they would use Painimation to communicate with their providers. Animations selected corresponded with pain adjectives endorsed on the MPQ. Further, selection of the electrifying animation was associated with self-reported neuropathic pain (r=.16, P=.03), similar to the association between neuropathic pain and PainDETECT (r=.17, P=.03). Painimation was associated with PainDETECT (r=.35, P<.001). CONCLUSIONS: Using animations may be a faster and more patient-centered method for assessing pain and is not limited by age, literacy level, or language; however, more data are needed to assess the validity of this approach. To establish the validity of using abstract animations (“painimations”) for communicating and assessing pain, apps and other digital tools using painimations will need to be tested longitudinally across a larger pain population and also within specific, more homogenous pain conditions.
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spelling pubmed-60982422018-08-21 Abstract Animations for the Communication and Assessment of Pain in Adults: Cross-Sectional Feasibility Study Jonassaint, Charles R Rao, Nema Sciuto, Alex Switzer, Galen E De Castro, Laura Kato, Gregory J Jonassaint, Jude C Hammal, Zakia Shah, Nirmish Wasan, Ajay J Med Internet Res Original Paper BACKGROUND: Pain is the most common physical symptom requiring medical care, yet the current methods for assessing pain are sorely inadequate. Pain assessment tools can be either too simplistic or take too long to complete to be useful for point-of-care diagnosis and treatment. OBJECTIVE: The aim was to develop and test Painimation, a novel tool that uses graphic visualizations and animations instead of words or numeric scales to assess pain quality, intensity, and course. This study examines the utility of abstract animations as a measure of pain. METHODS: Painimation was evaluated in a chronic pain medicine clinic. Eligible patients were receiving treatment for pain and reported pain more days than not for at least 3 months. Using a tablet computer, participating patients completed the Painimation instrument, the McGill Pain Questionnaire (MPQ), and the PainDETECT questionnaire for neuropathic symptoms. RESULTS: Participants (N=170) completed Painimation and indicated it was useful for describing their pain (mean 4.1, SE 0.1 out of 5 on a usefulness scale), and 130 of 162 participants (80.2%) agreed or strongly agreed that they would use Painimation to communicate with their providers. Animations selected corresponded with pain adjectives endorsed on the MPQ. Further, selection of the electrifying animation was associated with self-reported neuropathic pain (r=.16, P=.03), similar to the association between neuropathic pain and PainDETECT (r=.17, P=.03). Painimation was associated with PainDETECT (r=.35, P<.001). CONCLUSIONS: Using animations may be a faster and more patient-centered method for assessing pain and is not limited by age, literacy level, or language; however, more data are needed to assess the validity of this approach. To establish the validity of using abstract animations (“painimations”) for communicating and assessing pain, apps and other digital tools using painimations will need to be tested longitudinally across a larger pain population and also within specific, more homogenous pain conditions. JMIR Publications 2018-08-03 /pmc/articles/PMC6098242/ /pubmed/30076127 http://dx.doi.org/10.2196/10056 Text en ©Charles R Jonassaint, Nema Rao, Alex Sciuto, Galen E Switzer, Laura De Castro, Gregory J Kato, Jude C Jonassaint, Zakia Hammal, Nirmish Shah, Ajay Wasan. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 03.08.2018. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Jonassaint, Charles R
Rao, Nema
Sciuto, Alex
Switzer, Galen E
De Castro, Laura
Kato, Gregory J
Jonassaint, Jude C
Hammal, Zakia
Shah, Nirmish
Wasan, Ajay
Abstract Animations for the Communication and Assessment of Pain in Adults: Cross-Sectional Feasibility Study
title Abstract Animations for the Communication and Assessment of Pain in Adults: Cross-Sectional Feasibility Study
title_full Abstract Animations for the Communication and Assessment of Pain in Adults: Cross-Sectional Feasibility Study
title_fullStr Abstract Animations for the Communication and Assessment of Pain in Adults: Cross-Sectional Feasibility Study
title_full_unstemmed Abstract Animations for the Communication and Assessment of Pain in Adults: Cross-Sectional Feasibility Study
title_short Abstract Animations for the Communication and Assessment of Pain in Adults: Cross-Sectional Feasibility Study
title_sort abstract animations for the communication and assessment of pain in adults: cross-sectional feasibility study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6098242/
https://www.ncbi.nlm.nih.gov/pubmed/30076127
http://dx.doi.org/10.2196/10056
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