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Pain Assessment–Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis

Background: Mobile and web technologies are becoming increasingly used to support the treatment of chronic pain conditions. However, the subjectivity of pain perception makes its management and evaluation very difficult. Pain treatment requires a multi-dimensional approach (e.g., sensory, affective,...

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Autores principales: Pombo, Nuno, Garcia, Nuno, Bousson, Kouamana, Spinsante, Susanna, Chorbev, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847077/
https://www.ncbi.nlm.nih.gov/pubmed/27089351
http://dx.doi.org/10.3390/ijerph13040415
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author Pombo, Nuno
Garcia, Nuno
Bousson, Kouamana
Spinsante, Susanna
Chorbev, Ivan
author_facet Pombo, Nuno
Garcia, Nuno
Bousson, Kouamana
Spinsante, Susanna
Chorbev, Ivan
author_sort Pombo, Nuno
collection PubMed
description Background: Mobile and web technologies are becoming increasingly used to support the treatment of chronic pain conditions. However, the subjectivity of pain perception makes its management and evaluation very difficult. Pain treatment requires a multi-dimensional approach (e.g., sensory, affective, cognitive) whence the evidence of technology effects across dimensions is lacking. This study aims to describe computerised monitoring systems and to suggest a methodology, based on statistical analysis, to evaluate their effects on pain assessment. Methods: We conducted a review of the English-language literature about computerised systems related to chronic pain complaints that included data collected via mobile devices or Internet, published since 2000 in three relevant bibliographical databases such as BioMed Central, PubMed Central and ScienceDirect. The extracted data include: objective and duration of the study, age and condition of the participants, and type of collected information (e.g., questionnaires, scales). Results: Sixty-two studies were included, encompassing 13,338 participants. A total of 50 (81%) studies related to mobile systems, and 12 (19%) related to web-based systems. Technology and pen-and-paper approaches presented equivalent outcomes related with pain intensity. Conclusions: The adoption of technology was revealed as accurate and feasible as pen-and-paper methods. The proposed assessment model based on data fusion combined with a qualitative assessment method was revealed to be suitable. Data integration raises several concerns and challenges to the design, development and application of monitoring systems applied to pain.
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spelling pubmed-48470772016-05-04 Pain Assessment–Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis Pombo, Nuno Garcia, Nuno Bousson, Kouamana Spinsante, Susanna Chorbev, Ivan Int J Environ Res Public Health Review Background: Mobile and web technologies are becoming increasingly used to support the treatment of chronic pain conditions. However, the subjectivity of pain perception makes its management and evaluation very difficult. Pain treatment requires a multi-dimensional approach (e.g., sensory, affective, cognitive) whence the evidence of technology effects across dimensions is lacking. This study aims to describe computerised monitoring systems and to suggest a methodology, based on statistical analysis, to evaluate their effects on pain assessment. Methods: We conducted a review of the English-language literature about computerised systems related to chronic pain complaints that included data collected via mobile devices or Internet, published since 2000 in three relevant bibliographical databases such as BioMed Central, PubMed Central and ScienceDirect. The extracted data include: objective and duration of the study, age and condition of the participants, and type of collected information (e.g., questionnaires, scales). Results: Sixty-two studies were included, encompassing 13,338 participants. A total of 50 (81%) studies related to mobile systems, and 12 (19%) related to web-based systems. Technology and pen-and-paper approaches presented equivalent outcomes related with pain intensity. Conclusions: The adoption of technology was revealed as accurate and feasible as pen-and-paper methods. The proposed assessment model based on data fusion combined with a qualitative assessment method was revealed to be suitable. Data integration raises several concerns and challenges to the design, development and application of monitoring systems applied to pain. MDPI 2016-04-13 2016-04 /pmc/articles/PMC4847077/ /pubmed/27089351 http://dx.doi.org/10.3390/ijerph13040415 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Pombo, Nuno
Garcia, Nuno
Bousson, Kouamana
Spinsante, Susanna
Chorbev, Ivan
Pain Assessment–Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis
title Pain Assessment–Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis
title_full Pain Assessment–Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis
title_fullStr Pain Assessment–Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis
title_full_unstemmed Pain Assessment–Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis
title_short Pain Assessment–Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis
title_sort pain assessment–can it be done with a computerised system? a systematic review and meta-analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847077/
https://www.ncbi.nlm.nih.gov/pubmed/27089351
http://dx.doi.org/10.3390/ijerph13040415
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