Classification algorithm for the International Classification of Diseases-11 chronic pain classification: development and results from a preliminary pilot evaluation.
Abstract: The International Classification of Diseases-11 (ICD-11) chronic pain classification includes about 100 chronic pain diagnoses on different diagnostic levels. Each of these diagnoses requires specific operationalized diagnostic criteria to be present. The classification comprises more than...
| Publicado en: | PAIN Vol. 162; no. 7; pp. 2087 - 2097 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Jul2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151533466&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151533466 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03043959 22N jtl: PAIN issn: 03043959 maglogo: N pubinfo: dt: Jul2021 vid: 162 iid: 7 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 151533466 151533466 NLM33492033 151533466 10.1097/j.pain.0000000000002208 NLM33492033 151533466 ppf: 2087 ppct: 10 formats: tig: atl: Classification algorithm for the International Classification of Diseases-11 chronic pain classification: development and results from a preliminary pilot evaluation. aug: au: Korwisi, Beatrice Haya, Ginea Attal, Nadine Aziz, Qasim Bennett, Michael I. Benoliel, Rafael Cohen, Milton Evers, Stefan Giamberardino, Maria Adele Kaasa, Stein Kose, Eva Lavand'homme, Patricia Nicholas, Michael Perrot, Serge Schug, Stephan Smit, Blair H. Svensson, Peter Vlaeyen, Johan W. S. Shuu-Jiun Wang Treede, Rolf-Detlef affil: Division of Clinical Psychology and Psychotherapy, Department of Psychology, Philipps-University Marburg, Marburg, Germany sug: subj: International Classification of Diseases Chronic Pain Diagnosis Classification Algorithms Chronic Pain Classification Human Pilot Studies Comparative Studies Multicenter Studies Evaluation Research Validation Studies ab: Abstract: The International Classification of Diseases-11 (ICD-11) chronic pain classification includes about 100 chronic pain diagnoses on different diagnostic levels. Each of these diagnoses requires specific operationalized diagnostic criteria to be present. The classification comprises more than 200 diagnostic criteria. The aim of the Classification Algorithm for Chronic Pain in ICD-11 (CAL-CP) is to facilitate the use of the classification by guiding users through these diagnostic criteria. The diagnostic criteria were ordered hierarchically and visualized in accordance with the standards defined by the Society for Medical Decision Making Committee on Standardization of Clinical Algorithms. The resulting linear decision tree underwent several rounds of iterative checks and feedback by its developers, as well as other pain experts. A preliminary pilot evaluation was conducted in the context of an ecological implementation field study of the classification itself. The resulting algorithm consists of a linear decision tree, an introduction form, and an appendix. The initial decision trunk can be used as a standalone algorithm in primary care. Each diagnostic criterion is represented in a decision box. The user needs to decide for each criterion whether it is present or not, and then follow the respective yes or no arrows to arrive at the corresponding ICD-11 diagnosis. The results of the pilot evaluation showed good clinical utility of the algorithm. The CAL-CP can contribute to reliable diagnoses by structuring a way through the classification and by increasing adherence to the criteria. Future studies need to evaluate its utility further and analyze its impact on the accuracy of the assigned diagnoses. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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