TY - JOUR
T1 - Classification algorithm for the International Classification of Diseases-11 chronic pain classification
T2 - development and results from a preliminary pilot evaluation
AU - Korwisi, Beatrice
AU - Hay, Ginea
AU - Attal, Nadine
AU - Aziz, Qasim
AU - Bennett, Michael I.
AU - Benoliel, Rafael
AU - Cohen, Milton
AU - Evers, Stefan
AU - Giamberardino, Maria Adele
AU - Kaasa, Stein
AU - Kosek, Eva
AU - Lavand'homme, Patricia
AU - Nicholas, Michael
AU - Perrot, Serge
AU - Schug, Stephan
AU - Smith, Blair H.
AU - Svensson, Peter
AU - Vlaeyen, Johan W.S.
AU - Wang, Shuu Jiun
AU - Treede, Rolf Detlef
AU - Rief, Winfried
AU - Barke, Antonia
N1 - Publisher Copyright:
Copyright © 2021 International Association for the Study of Pain.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85108385909&partnerID=8YFLogxK
U2 - 10.1097/j.pain.0000000000002208
DO - 10.1097/j.pain.0000000000002208
M3 - Article
C2 - 33492033
AN - SCOPUS:85108385909
SN - 0304-3959
VL - 162
SP - 2087
EP - 2096
JO - Pain
JF - Pain
IS - 7
ER -