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Pilot field testing of the chronic pain classification for ICD-11: the results of ecological coding
BACKGROUND: A task force of the International Association for the Study of Pain (IASP) has developed a classification of chronic pain for the ICD-11 consisting of seven major categories. The objective was to test whether the proposed categories were exhaustive and mutually exclusive. In addition, th...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223095/ https://www.ncbi.nlm.nih.gov/pubmed/30404594 http://dx.doi.org/10.1186/s12889-018-6135-9 |
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author | Barke, Antonia Korwisi, Beatrice Casser, Hans-Raimund Fors, Egil A. Geber, Christian Schug, Stephan A. Stubhaug, Audun Ushida, Takahiro Wetterling, Thomas Rief, Winfried Treede, Rolf-Detlef |
author_facet | Barke, Antonia Korwisi, Beatrice Casser, Hans-Raimund Fors, Egil A. Geber, Christian Schug, Stephan A. Stubhaug, Audun Ushida, Takahiro Wetterling, Thomas Rief, Winfried Treede, Rolf-Detlef |
author_sort | Barke, Antonia |
collection | PubMed |
description | BACKGROUND: A task force of the International Association for the Study of Pain (IASP) has developed a classification of chronic pain for the ICD-11 consisting of seven major categories. The objective was to test whether the proposed categories were exhaustive and mutually exclusive. In addition, the perceived utility of the diagnoses and the raters’ subjective diagnostic certainty were to be assessed. METHODS: Five independent pain centers in three continents coded 507 consecutive patients. The raters received the definitions for the main diagnostic categories of the proposed classification and were asked to allocate diagnostic categories to each patient. In addition, they were asked to indicate how useful they judged the diagnosis to be from 0 (not at all) to 3 (completely) and how confident they were in their category allocation. RESULTS: The two largest groups of patients were coded as either chronic primary pain or chronic secondary musculoskeletal pain. Of the 507 patients coded, 3.0% had chronic pain not fitting any of the proposed categories (97% exhaustiveness), 20.1% received more than one diagnosis. After adjusting for double coding due to technical reasons, 2.0% of cases remained (98% uniqueness). The mean perceived utility was 1.9 ± 1.0, the mean diagnostic confidence was 2.0 ± 1.0. CONCLUSIONS: The categories proved exhaustive with few cases being classified as unspecified chronic pain, and they showed themselves to be mutually exclusive. The categories were regarded as useful with particularly high ratings for the newly introduced categories (chronic cancer-related pain among others). The confidence in allocating the diagnoses was good although no training regarding the ICD-11 categories had been possible at this stage of the development. |
format | Online Article Text |
id | pubmed-6223095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62230952018-11-19 Pilot field testing of the chronic pain classification for ICD-11: the results of ecological coding Barke, Antonia Korwisi, Beatrice Casser, Hans-Raimund Fors, Egil A. Geber, Christian Schug, Stephan A. Stubhaug, Audun Ushida, Takahiro Wetterling, Thomas Rief, Winfried Treede, Rolf-Detlef BMC Public Health Research Article BACKGROUND: A task force of the International Association for the Study of Pain (IASP) has developed a classification of chronic pain for the ICD-11 consisting of seven major categories. The objective was to test whether the proposed categories were exhaustive and mutually exclusive. In addition, the perceived utility of the diagnoses and the raters’ subjective diagnostic certainty were to be assessed. METHODS: Five independent pain centers in three continents coded 507 consecutive patients. The raters received the definitions for the main diagnostic categories of the proposed classification and were asked to allocate diagnostic categories to each patient. In addition, they were asked to indicate how useful they judged the diagnosis to be from 0 (not at all) to 3 (completely) and how confident they were in their category allocation. RESULTS: The two largest groups of patients were coded as either chronic primary pain or chronic secondary musculoskeletal pain. Of the 507 patients coded, 3.0% had chronic pain not fitting any of the proposed categories (97% exhaustiveness), 20.1% received more than one diagnosis. After adjusting for double coding due to technical reasons, 2.0% of cases remained (98% uniqueness). The mean perceived utility was 1.9 ± 1.0, the mean diagnostic confidence was 2.0 ± 1.0. CONCLUSIONS: The categories proved exhaustive with few cases being classified as unspecified chronic pain, and they showed themselves to be mutually exclusive. The categories were regarded as useful with particularly high ratings for the newly introduced categories (chronic cancer-related pain among others). The confidence in allocating the diagnoses was good although no training regarding the ICD-11 categories had been possible at this stage of the development. BioMed Central 2018-11-07 /pmc/articles/PMC6223095/ /pubmed/30404594 http://dx.doi.org/10.1186/s12889-018-6135-9 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Barke, Antonia Korwisi, Beatrice Casser, Hans-Raimund Fors, Egil A. Geber, Christian Schug, Stephan A. Stubhaug, Audun Ushida, Takahiro Wetterling, Thomas Rief, Winfried Treede, Rolf-Detlef Pilot field testing of the chronic pain classification for ICD-11: the results of ecological coding |
title | Pilot field testing of the chronic pain classification for ICD-11: the results of ecological coding |
title_full | Pilot field testing of the chronic pain classification for ICD-11: the results of ecological coding |
title_fullStr | Pilot field testing of the chronic pain classification for ICD-11: the results of ecological coding |
title_full_unstemmed | Pilot field testing of the chronic pain classification for ICD-11: the results of ecological coding |
title_short | Pilot field testing of the chronic pain classification for ICD-11: the results of ecological coding |
title_sort | pilot field testing of the chronic pain classification for icd-11: the results of ecological coding |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223095/ https://www.ncbi.nlm.nih.gov/pubmed/30404594 http://dx.doi.org/10.1186/s12889-018-6135-9 |
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