Classification algorithm for the International Classification of Diseases-11 chronic pain classification: development and results from a preliminary pilot evaluation.

Algorithms Chronic Pain / diagnosis Humans International Classification of Diseases Pilot Projects

Journal

Pain
ISSN: 1872-6623
Titre abrégé: Pain
Pays: United States
ID NLM: 7508686

Informations de publication

Date de publication:
01 07 2021
Historique:
received: 23 10 2020
accepted: 11 12 2020
pubmed: 26 1 2021
medline: 25 6 2021
entrez: 25 1 2021
Statut: ppublish

Résumé

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.

Identifiants

DOI: 10.1097/j.pain.0000000000002208 PMID: 33492033
pubmed: 33492033
doi: 10.1097/j.pain.0000000000002208
pii: 00006396-202107000-00017
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2087-2096

Informations de copyright

Copyright © 2021 International Association for the Study of Pain.

Références

Aziz Q, Giamberardino MA, Barke A, Korwisi B, Baranowski A, Wesselmann U, Rief W, Treede R-D; The IASP Taskforce for the Classification of Chronic Pain. The IASP classification of chronic pain for ICD-11: chronic secondary visceral pain. PAIN 2019;160:69–76.
Bennett MI, Kaasa S, Barke A, Korwisi B, Rief W, Treede R-D; The IASP Taskforce for the Classification of Chronic Pain. The IASP classification of chronic pain for ICD-11: chronic cancer-related pain. PAIN 2019;160:38–44.
Benoliel R, Svensson P, Evers S, Wang S-J, Barke A, Korwisi B, Rief W, Treede R-D; The IASP Taskforce for the Classification of Chronic Pain. The IASP classification of chronic pain for ICD-11: chronic secondary headache and orofacial pain. PAIN 2019;160:60–8.
Bollestad M, Grude N, Lindbaek M. A randomized controlled trial of a diagnostic algorithm for symptoms of uncomplicated cystitis at an out-of-hours service. Scand J Prim Health Care 2015;33:57–64.
Bouck Z, Pendrith C, Chen XK, Frood J, Reason B, Khan T, Costante A, Kirkham K, Born K, Levinson W, Bhatia RS. Measuring the frequency and variation of unnecessary care across Canada. BMC Health Serv Res 2019;19:446.
Coleman SH. Editorial commentary: the importance of developing an algorithm when diagnosing hip pain. Arthrosc - J Arthrosc Relat Surg 2016;32:1712–13.
Drossman DA, Hasler WL. Rome IV—functional GI disorders: disorders of gut-brain interaction. Gastroenterology 2016;150:1257–61.
Finnerup NB, Haroutounian S, Kamerman P, Baron R, Bennett DLH, Bouhassira D, Cruccu G, Freeman R, Hansson P, Nurmikko T, Raja SN, Rice ASC, Serra J, Smith BH, Treede R-D, Jensen TS. Neuropathic pain: an updated grading system for research and clinical practice. PAIN 2016;157:1599–606.
First MB. Clinical utility in the revision of the diagnostic and statistical manual of mental disorders (DSM). Prof Psychol Res Pract 2010;41:465–73.
Headache Classification Committee of the International Headache Society (IHS). The international classification of headache disorders, 3rd edition. Cephalalgia 2018;38:1–211.
International classification of orofacial pain, 1st edition (ICOP). Cephalalgia 2020;40:129–221.
Jablonski AM, DuPen AR, Ersek M. The use of algorithms in assessing and managing persistent pain in older adults. Am J Nurs 2011;111:34–45.
Keeley J, Reed G, Roberts M, Evans SC, Medina-Mora ME, Robles R, Rebello T, Sharan P, Gureje O, First MB, Andrews HF, Ayuso-Mateos JL, Gaebel W, Zielasek J, Saxena S. Developing a science of clinical utility in diagnostic classification systems field study strategies for ICD-11 mental and behavioral disorders. Am Psychol 2016;71:3–16.
Keller J, Layer P. Chronischer Oberbauchschmerz: diagnostischer und therapeutischer Algorithmus. Dtsch Med Wochenschr 2015;140:718–22.
Kellow JE, Drossman DA. Rome Foundation diagnostic algorithms for common gastrointestinal symptoms. Am J Gastroenterol 2010;75:736–801.
Korwisi B, Treede R, Rief W, Barke A. Evaluation of the International Classification of Diseases-11 chronic pain classification: study protocol for an ecological implementation field study in low-, middle-, and high-income countries. PAIN Rep 2020;5:e825.
Malt UF. Teaching DSM-III to clinicians. Some problems of the DSM-III system reducing reliability, using the diagnosis and classification of depressive disorders as an example. Acta Psychiatr Scand 1986;73:68–75.
Martel-Pelletier J, Maheu E, Pelletier JP, Alekseeva L, Mkinsi O, Branco J, Monod P, Planta F, Reginster JY, Rannou F. A new decision tree for diagnosis of osteoarthritis in primary care: international consensus of experts. Aging Clin Exp Res 2019;31:19–30.
Moloney NA, Hall TM, Leaver AM, Doody CM. The clinical utility of pain classification in non-specific arm pain. Man Ther 2015;20:157–65.
Morgan RD, Olson KR, Krueger RM, Schellenberg RP, Jackson TT. Do the DSM decision trees improve diagnostic ability? J Clin Psychol 2000;56:73–88.
Nicholas M, Vlaeyen JWS, Rief W, Barke A, Aziz Q, Benoliel R, Cohen M, Evers S, Giamberardino MA, Goebel A, Korwisi B, Perrot S, Svensson P, Wang S-J, Treede R-D; The IASP Taskforce for the Classification of Chronic Pain. The IASP classification of chronic pain for ICD-11: chronic primary pain. PAIN 2019;160:28–37.
Nijs J, Apeldoorn A, Hallegraeff H, Clark J, Smeets R, Malfliet A, Girbés EL, De Kooning M, Ickmans K. Low back pain: guidelines for the clinical classification of predominant neuropathic, nociceptive, or central sensitization pain. Pain Physician 2015;18:E333–46.
Park CN, White PB, Meftah M, Ranawat AS, Ranawat CS. Diagnostic algorithm for residual pain after total knee arthroplasty. Orthopedics 2016;39:e246–52.
Perrot S, Cohen M, Barke A, Korwisi B, Rief W, Treede R-D. The IASP Taskforce for the Classification of Chronic Pain. The IASP classification of chronic pain for ICD-11: chronic secondary musculoskeletal pain. PAIN 2019;160:77–82.
Pichetshote N, Pimentel M. An approach to the patient with chronic undiagnosed abdominal pain. Am J Gastroenterol 2019;114:726–32.
Podgorelec V, Kokol P, Stiglic B, Rozman I. Decision trees: an overview and their use in medicine. J Med Syst 2002;26:445–63.
Prakash S, Rathore C. Side-locked headaches: an algorithm-based approach. J Headache Pain 2016;17:95.
Rinaldi G, Zarrelli MM, Beghi E, Apollo F, Germano M, Di Viesti P, Simone P. The international classification of the epilepsies and epileptic syndromes: an algorithm for its use in clinical practice. Epilepsy Res 2000;41:223–34.
Scholz J, Finnerup NB, Attal N, Aziz Q, Baron R, Bennett MI, Benoliel R, Cohen M, Cruccu G, Davis KD, Evers S, First MB, Giamberardino MA, Hansson P, Kaasa S, Korwisi B, Kosek E, Lavand’homme P, Nicholas M, Nurmikko T, Perrot S, Raja SN, Rice ASC, Rowbotham MC, Schug S, Simpson DM, Smith BH, Svensson P, Vlaeyen JWS, Wang S-J, Barke A, Rief W, Treede R-D; Classification Committee of the Neuropathic Pain Special Interest Group (NeuPSIG) Abstract. The IASP classification of chronic pain for ICD-11: chronic neuropathic pain. PAIN 2019;160:53–9.
Schug SA, Lavand’homme P, Barke A, Korwisi B, Rief W, Treede R-D; The IASP Taskforce for the Classification of Chronic Pain. The IASP classification of chronic pain for ICD-11: chronic postsurgical or posttraumatic pain. PAIN 2019;160:45–52.
Society for Medical Decision Making Committee on Standardization of Clinical Algorithms. Proposal for clinical algorithm standards. Med Decis Mak 1992;38:149–54.
Tallen G, Bielack S, Henze G. Musculoskeletal pain: a new algorithm for differential diagnosis of a cardinal symptom in pediatrics. Klin Pediatr 2014;226:86–98.
Tonetti MS, Sanz M. Implementation of the new classification of periodontal diseases: decision-making algorithms for clinical practice and education. J Clin Periodontol 2019;46:398–405.
Treede R-D, Rief W, Barke A, Aziz Q, Bennett MI, Benoliel R, Cohen M, Evers S, Finnerup NB, First MB, Giamberardino MA, Kaasa S, Korwisi B, Kosek E, Lavand’homme P, Nicholas M, Perrot S, Scholz J, Schug S, Smith BH, Svensson P, Vlaeyen JWS, Wang S-J; Chronic pain as a symptom or a disease: the IASP classification of chronic pain for the international classification of diseases ICD-11. PAIN 2019;160:19–27.
Treede R-D, Rief W, Barke A, Aziz Q, Bennett MI, Benoliel R, Cohen M, Evers S, Finnerup NB, First MB, Giamberardino MA, Kaasa S, Kosek E, Lavand’homme P, Nicholas M, Perrot S, Scholz J, Schug S, Smith BH, Svensson P, Vlaeyen JWS, Wang S-J. A classification of chronic pain for ICD-11. PAIN 2015;156:1003–7.
World Health Organization. ICD-11 coding tool mortality and morbidity statistics (MMS) 2020-09. 2020. Available at: https://icd.who.int/ct11/icd11_mms/en/release . Accessed December 1, 2020.
World Health Organization. ICD-11 for mortality and morbidity statistics (ICD-11 MMS) version 09/2020. 2020. Available at: https://icd.who.int/browse11/l-m/en . Accessed December 1, 2020.
World Health Organization. ICD-11 maintenance platform. 2020. Available at: https://icd.who.int/dev11/l-m/en . Accessed December 1, 2020.
World Health Organization. ICD-11 reference guide. 2019. Available at: https://icd.who.int/icd11refguide/en/index.html . Accessed December 1, 2020.
World Health Organization. ICD-11 user guide. 2020. Available at: https://icd.who.int/dev11/Help/en . Accessed December 1, 2020.
World Health Organization. World health assembly update, 25 May 2019. 2019. Available at: https://www.who.int/news-room/detail/25-05-2019-world-health-assembly-update . Accessed December 1, 2020.
Yelland M, Cayley WE, Vach W. An algorithm for the diagnosis and management of chest pain in primary care. Med Clin North Am 2010;94:349–74.

Auteurs

Beatrice Korwisi (B)

Division of Clinical Psychology and Psychotherapy, Department of Psychology, Philipps-University Marburg, Marburg, Germany.

Ginea Hay (G)

Division of Clinical Psychology and Psychotherapy, Department of Psychology, Philipps-University Marburg, Marburg, Germany.

Nadine Attal (N)

INSERM U-987, Centre d'Evaluation et de Traitement de la Douleur, CHU Ambroise Paré, Boulogne-Billancourt, France.

Qasim Aziz (Q)

Centre for Neuroscience, Surgery and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, United Kingdom.

Michael I Bennett (MI)

Academic Unit of Palliative Care, University of Leeds, Leeds, United Kingdom.

Rafael Benoliel (R)

Department of Diagnostic Sciences, Rutgers School of Dental Medicine, Rutgers, Newark, NJ, United States.

Milton Cohen (M)

St Vincent's Clinical School, UNSW, Sydney, New South Wales, Australia.

Stefan Evers (S)

Department of Neurology, Krankenhaus Lindenbrunn, Coppenbrügge, Germany.
Department of Medicine, University of Münster, Münster, Germany.

Maria Adele Giamberardino (MA)

Department of Medicine and Science of Aging, CAST, G D'Annunzio University of Chieti, Chieti, Italy.
European Palliative Care Research Centre (PRC),Department of Cancer Treatment, University Hospital Oslo, Oslo, Norway.

Stein Kaasa (S)

Department of Oncology, Oslo University Hospital, Oslo, Norway.
Institute of Cancer Research and Molecular Medicine, Department of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Department of Clinical Neuroscience, Karolinska Institute, and Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.

Eva Kosek (E)

Department of Surgical Sciences Uppsala University, Uppsala, Sweden.
Department of Anesthesiology, Acute Postoperative Pain Service, Saint Luc Hospital, Catholic University of Louvain, Brussels, Belgium.

Patricia Lavand'homme (P)

Pain Management Research Institute, Faculty of Medicine and Health, University of Sydney and Royal North Shore Hospital, Sydney, Australia.

Michael Nicholas (M)

Pain Clinic, Cochin Hospital, Paris University, INSERM U987, Paris, France.

Serge Perrot (S)

Department of Anaesthesiology and Pain Medicine, Medical School, University of Western Australia, Perth, Australia.

Stephan Schug (S)

Division of Population Health and Genomics, University of Dundee, Dundee, United Kingdom.

Blair H Smith (BH)

Department of Dentistry and Oral Health, Section of Orofacial Pain and Jaw Function, Aarhus University, Aarhus, Denmark.

Peter Svensson (P)

Research Group Health Psychology, Department of Psychology and Educational Sciences, University of Leuven, Leuven, Belgium.

Johan W S Vlaeyen (JWS)

TRACE, Center for Translational Health Research, KU Leuven, Ziekenhuis Oost-Limburg, Genk, Belgium.
Department of Clinical Psychological Science, Maastricht University, Maastricht, the Netherlands.
The Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.

Shuu-Jiun Wang (SJ)

Brain Research Center and School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Department of Neurophysiology, Mannheim Center for Translational Neuroscience (MCTN), Medical Faculty Mannheim of Heidelberg University, Mannheim, Germany.

Rolf-Detlef Treede (RD)

Division of Clinical and Biological Psychology, Department of Psychology, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany.

Winfried Rief (W)

Division of Clinical Psychology and Psychotherapy, Department of Psychology, Philipps-University Marburg, Marburg, Germany.

Antonia Barke (A)

Université Paris Saclay, Versailles, France.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female

Evaluation of Low-Value Services Across Major Medicare Advantage Insurers and Traditional Medicare.

Ciara Duggan, Adam L Beckman, Ishani Ganguli et al.
1.00
Humans United States Aged Cross-Sectional Studies Medicare Part C

Effectiveness of Virtual Yoga for Chronic Low Back Pain: A Randomized Clinical Trial.

Hallie Tankha, Devyn Gaskins, Amanda Shallcross et al.
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH

questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Classification algorithm for the International...
questionsmedicales.fr › États, signes et symptômes pathologiques › Signes et symptômes › Manifestations neurologiques › Douleur chronique › Classification algorithm for the International...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Classification algorithm for the International...
questionsmedicales.fr › Sciences de l'information › Sources d'information › Services d'information › Documentation › Vocabulaire contrôlé › Classification internationale des maladies › Classification algorithm for the International...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Projets pilotes › Classification algorithm for the International...