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Korwisi B, Hay G, Attal N, Aziz Q, Bennett MI, Benoliel R, Cohen M, Evers S, Giamberardino MA, Kaasa S, Kosek E, Lavand'homme P, Nicholas M, Perrot S, Schug S, Smith BH, Svensson P, Vlaeyen JWS, Wang SJ, Treede RD, Rief W, Barke A. Classification algorithm for the International Classification of Diseases-11 chronic pain classification: development and results from a preliminary pilot evaluation. Pain 2021; 162:2087-2096. [PMID: 33492033 DOI: 10.1097/j.pain.0000000000002208] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 12/11/2020] [Indexed: 01/04/2023]
Abstract
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.
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Affiliation(s)
- Beatrice Korwisi
- Division of Clinical Psychology and Psychotherapy, Department of Psychology, Philipps-University Marburg, Marburg, Germany
| | - Ginea Hay
- Division of Clinical Psychology and Psychotherapy, Department of Psychology, Philipps-University Marburg, Marburg, Germany
| | - Nadine Attal
- INSERM U-987, Centre d'Evaluation et de Traitement de la Douleur, CHU Ambroise Paré, Boulogne-Billancourt, France
| | - Qasim Aziz
- 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
- Academic Unit of Palliative Care, University of Leeds, Leeds, United Kingdom
| | - Rafael Benoliel
- Department of Diagnostic Sciences, Rutgers School of Dental Medicine, Rutgers, Newark, NJ, United States
| | - Milton Cohen
- St Vincent's Clinical School, UNSW, Sydney, New South Wales, Australia
| | - Stefan Evers
- Department of Neurology, Krankenhaus Lindenbrunn, Coppenbrügge, Germany
- Department of Medicine, University of Münster, Münster, Germany
| | - Maria Adele Giamberardino
- 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
- 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
- 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
- Pain Management Research Institute, Faculty of Medicine and Health, University of Sydney and Royal North Shore Hospital, Sydney, Australia
| | - Michael Nicholas
- Pain Clinic, Cochin Hospital, Paris University, INSERM U987, Paris, France
| | - Serge Perrot
- Department of Anaesthesiology and Pain Medicine, Medical School, University of Western Australia, Perth, Australia
| | - Stephan Schug
- Division of Population Health and Genomics, University of Dundee, Dundee, United Kingdom
| | - Blair H Smith
- Department of Dentistry and Oral Health, Section of Orofacial Pain and Jaw Function, Aarhus University, Aarhus, Denmark
| | - Peter Svensson
- Research Group Health Psychology, Department of Psychology and Educational Sciences, University of Leuven, Leuven, Belgium
| | - Johan W S Vlaeyen
- 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
- 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
- Division of Clinical and Biological Psychology, Department of Psychology, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany
| | - Winfried Rief
- Division of Clinical Psychology and Psychotherapy, Department of Psychology, Philipps-University Marburg, Marburg, Germany
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Abstract
Experiment 1 examined whether the use of the DSM-III-R decision trees increased the accuracy of DSM-III-R diagnoses. Results indicated that the use of the decision trees interacted with the level of DSM-III-R experience to affect diagnostic accuracy. The use of the decision trees resulted in a modest increase in diagnostic accuracy for participants with less DSM-III-R experience; for participants with more DSM-III-R experience, the use of the decision trees had no significant effect on diagnostic accuracy. Experiment 2 examined whether the use of the DSM-III-R decision trees increased the accuracy and confidence and decreased the time of DSM-IlI-R diagnosis across participants with varying levels of DSM-III-R experience. The primary analyses consisted of a 3 x 2 x 2-multivariate analysis of variance (MANOVA) to determine whether the use of the decision trees increased diagnostic accuracy and diagnostic confidence and decreased diagnostic time. Results indicated (1) the experienced participants made more accurate diagnoses than the less-experienced and no-experience participants: (2) the decision trees, combined with practice, increased class diagnostic accuracy and decreased diagnostic time; and (3) participants were more confident in their diagnosis when they used the decision trees than when they did not use the decision trees. Supplementary analyses consisted of two one-way analysis of variance (ANOVA) procedures and indicated that participants' preference for and knowledge of how to use the decision trees did not significantly affect their diagnostic accuracy.
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Pediaditakis N. Shared characteristics in the clinical expression and pharmacological responses of mental disorders and their possible collective significance. Med Hypotheses 1998; 50:347-52. [PMID: 9690772 DOI: 10.1016/s0306-9877(98)90124-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
This paper points out the existence of, and enumerates, common characteristics spanning the clinical expression and pharmacological responses of most mental disorders. Central to the developed argument, the paper also points out an important overall property of brain function which normally insures a coordinated smoothness and synchronism across the expression of all the higher mental functions. Evidence from positron emission tomography studies supports the existence of a common initial structural abnormality which renders the brain vulnerable to a periodic loss of synchronism. This loss then expresses itself in a kind of 'psychic Parkinsonism', as shown in the characteristic, antithetical, oscillating format of the familiar cluster of symptoms of most mental disorders. The arguments are based on clinical observations and supported by a survey of the clinical and experimental literature.
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Affiliation(s)
- N Pediaditakis
- Department of Psychiatric Medicine, ECU School of Medicine, Greenville, NC 27858-4354, USA
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Malt UF, Huyse FJ, Herzog T, Lobo A, Rijssenbeek AJ. The ECLW Collaborative Study: III. Training and reliability of ICD-10 psychiatric diagnoses in the general hospital setting--an investigation of 220 consultants from 14 European countries. European Consultation Liaison Workgroup. J Psychosom Res 1996; 41:451-63. [PMID: 9032709 DOI: 10.1016/s0022-3999(96)00213-9] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
A comprehensive training program for reliable use of the ICD/10 in Consultation-Liaison (C-L) psychiatry was conducted with 220 psychiatrists and psychologists from 14 European countries. The training included rating of written test cases and development of a coding manual to avoid diagnostic pitfalls not addressed in the ICD-10 manual. Following this training, all consultants rated 13 written case histories. One hundred sixty-seven consultants (76%) had a kappa (kappa) of at least 0.70. Only 13 (6%) had a kappa 0.40. The percentage of high reliability raters was evenly distributed among the different countries. Consultants had some problems in the differentiation between adjustment disorders and depressive disorders, and in the classification of disorders where ICD-10 differs from the DSM-III-R system. National biases in diagnostic practice were found with regard to the "case" concept and the role of alcohol in confusional states. Finnish consultants coded "no psychiatric disorder" significantly more often, whereas German and Italian consultants attributed delirious state more often to alcohol than consultants from other European countries. The study demonstrates that it is possible to achieve acceptable interrater reliability in applying the ICD-10 guidelines, through training programs designed for C-L psychiatrists and psychologists. Nevertheless, this first cross-national study shows the importance of addressing differences in national diagnostic practice.
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Affiliation(s)
- U F Malt
- Department of Psychosomatic and Behavioral Medicine University of Oslo, National Hospital, Norway
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Torgersen T, Rosseland LA, Malt UF. Coding guidelines for ICD-9 section on mental disorders and reliability of chart clinical diagnoses. Acta Psychiatr Scand 1990; 81:62-7. [PMID: 2330831 DOI: 10.1111/j.1600-0447.1990.tb06450.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
A major innovation of the ICD-10 draft is provision of diagnostic guidelines. This is assumed to be appropriate for use in clinical situations. In Norway a similar approach was adopted when ICD-9 was introduced as the official classification system in 1987. This was done in order to avoid national diagnostic bias and increase diagnostic reliability. A comparison with the DSM-III criteria was included in the diagnostic guidelines. The effectiveness of this approach was investigated by comparing the chart ICD-9 diagnoses of 104 psychiatric in- and outpatients from 2 teaching hospitals with the diagnoses obtained by using case record rating forms (criterion diagnosis). According to the criterion diagnoses, the base rate of chart diagnoses of schizophrenia and manic-depressive psychosis was too low, and the base rate of reactive psychosis too high. Several chart diagnoses proved to have low reliability, particularly reactive psychosis, paranoid psychosis, depressive neurosis and personality disorders. The study suggests that the provision of extensive diagnostic guidelines does not necessarily alter previous diagnostic practice. Reasons for these findings and the implications for the ICD-10 diagnostic criteria and diagnostic guidelines are discussed.
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Affiliation(s)
- T Torgersen
- Department of Psychosomatic and Behavioural Medicine, National Hospital, University of Oslo, Norway
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