A Delphi exercise to identify characteristic features of gout - Opinions from patients and physicians, the first stage in developing new classification criteria
Objective. To identify a comprehensive list of features that might discriminate between gout and other rheumatic musculoskeletal conditions, to be used subsequently for a case-control study to develop and test new classification criteria for gout. Methods. Two Delphi exercises were conducted using W...
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th-cmuir.6653943832-526462018-09-04T09:34:07Z A Delphi exercise to identify characteristic features of gout - Opinions from patients and physicians, the first stage in developing new classification criteria Rebecca L. Prowse Nicola Dalbeth Arthur Kavanaugh Adewale O. Adebajo Angelo L. Gaffo Robert Terkeltaub Brian F. Mandell Bagus P.P. Suryana Claudia Goldenstein-Schainberg Cèsar Diaz-Torne Dinesh Khanna Frederic Lioté Geraldine McCarthy Gail S. Kerr Hisashi Yamanaka Hein Janssens Herbert F. Baraf Jiunn Horng Chen Janitzia Vazquez-Mellado Leslie R. Harrold Lisa K. Stamp Mart A. Van De Laar Matthijs Janssen Michael Doherty Maarten Boers N. Lawrence Edwards Peter Gow Peter Chapman Puja Khanna Philip S. Helliwell Rebecca Grainger H. Ralph Schumacher Tuhina Neogi Tim L. Jansen Worawit Louthrenoo Francisca Sivera William J. Taylor Immunology and Microbiology Medicine Objective. To identify a comprehensive list of features that might discriminate between gout and other rheumatic musculoskeletal conditions, to be used subsequently for a case-control study to develop and test new classification criteria for gout. Methods. Two Delphi exercises were conducted using Web-based questionnaires: one with physicians from several countries who had an interest in gout and one with patients from New Zealand who had gout. Physicians rated a list of potentially discriminating features that were identified by literature review and expert opinion, and patients rated a list of features that they generated themselves. Agreement was defined by the RAND/UCLA disagreement index. Results. Forty-four experienced physicians and 9 patients responded to all iterations. For physicians, 71 items were identified by literature review and 15 more were suggested by physicians. The physician survey showed agreement for 26 discriminatory features and 15 as not discriminatory. The patients identified 46 features of gout, for which there was agreement on 25 items as being discriminatory and 7 items as not discriminatory. Conclusion. Patients and physicians agreed upon several key features of gout. Physicians emphasized objective findings, imaging, and patterns of symptoms, whereas patients emphasized severity, functional results, and idiographic perception of symptoms. The Journal of Rheumatology Copyright © 2013. All rights reserved. 2018-09-04T09:28:51Z 2018-09-04T09:28:51Z 2013-04-01 Journal 14992752 0315162X 2-s2.0-84875864600 10.3899/jrheum.121037 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875864600&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/52646 |
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Immunology and Microbiology Medicine Rebecca L. Prowse Nicola Dalbeth Arthur Kavanaugh Adewale O. Adebajo Angelo L. Gaffo Robert Terkeltaub Brian F. Mandell Bagus P.P. Suryana Claudia Goldenstein-Schainberg Cèsar Diaz-Torne Dinesh Khanna Frederic Lioté Geraldine McCarthy Gail S. Kerr Hisashi Yamanaka Hein Janssens Herbert F. Baraf Jiunn Horng Chen Janitzia Vazquez-Mellado Leslie R. Harrold Lisa K. Stamp Mart A. Van De Laar Matthijs Janssen Michael Doherty Maarten Boers N. Lawrence Edwards Peter Gow Peter Chapman Puja Khanna Philip S. Helliwell Rebecca Grainger H. Ralph Schumacher Tuhina Neogi Tim L. Jansen Worawit Louthrenoo Francisca Sivera William J. Taylor A Delphi exercise to identify characteristic features of gout - Opinions from patients and physicians, the first stage in developing new classification criteria |
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Objective. To identify a comprehensive list of features that might discriminate between gout and other rheumatic musculoskeletal conditions, to be used subsequently for a case-control study to develop and test new classification criteria for gout. Methods. Two Delphi exercises were conducted using Web-based questionnaires: one with physicians from several countries who had an interest in gout and one with patients from New Zealand who had gout. Physicians rated a list of potentially discriminating features that were identified by literature review and expert opinion, and patients rated a list of features that they generated themselves. Agreement was defined by the RAND/UCLA disagreement index. Results. Forty-four experienced physicians and 9 patients responded to all iterations. For physicians, 71 items were identified by literature review and 15 more were suggested by physicians. The physician survey showed agreement for 26 discriminatory features and 15 as not discriminatory. The patients identified 46 features of gout, for which there was agreement on 25 items as being discriminatory and 7 items as not discriminatory. Conclusion. Patients and physicians agreed upon several key features of gout. Physicians emphasized objective findings, imaging, and patterns of symptoms, whereas patients emphasized severity, functional results, and idiographic perception of symptoms. The Journal of Rheumatology Copyright © 2013. All rights reserved. |
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Rebecca L. Prowse Nicola Dalbeth Arthur Kavanaugh Adewale O. Adebajo Angelo L. Gaffo Robert Terkeltaub Brian F. Mandell Bagus P.P. Suryana Claudia Goldenstein-Schainberg Cèsar Diaz-Torne Dinesh Khanna Frederic Lioté Geraldine McCarthy Gail S. Kerr Hisashi Yamanaka Hein Janssens Herbert F. Baraf Jiunn Horng Chen Janitzia Vazquez-Mellado Leslie R. Harrold Lisa K. Stamp Mart A. Van De Laar Matthijs Janssen Michael Doherty Maarten Boers N. Lawrence Edwards Peter Gow Peter Chapman Puja Khanna Philip S. Helliwell Rebecca Grainger H. Ralph Schumacher Tuhina Neogi Tim L. Jansen Worawit Louthrenoo Francisca Sivera William J. Taylor |
author_facet |
Rebecca L. Prowse Nicola Dalbeth Arthur Kavanaugh Adewale O. Adebajo Angelo L. Gaffo Robert Terkeltaub Brian F. Mandell Bagus P.P. Suryana Claudia Goldenstein-Schainberg Cèsar Diaz-Torne Dinesh Khanna Frederic Lioté Geraldine McCarthy Gail S. Kerr Hisashi Yamanaka Hein Janssens Herbert F. Baraf Jiunn Horng Chen Janitzia Vazquez-Mellado Leslie R. Harrold Lisa K. Stamp Mart A. Van De Laar Matthijs Janssen Michael Doherty Maarten Boers N. Lawrence Edwards Peter Gow Peter Chapman Puja Khanna Philip S. Helliwell Rebecca Grainger H. Ralph Schumacher Tuhina Neogi Tim L. Jansen Worawit Louthrenoo Francisca Sivera William J. Taylor |
author_sort |
Rebecca L. Prowse |
title |
A Delphi exercise to identify characteristic features of gout - Opinions from patients and physicians, the first stage in developing new classification criteria |
title_short |
A Delphi exercise to identify characteristic features of gout - Opinions from patients and physicians, the first stage in developing new classification criteria |
title_full |
A Delphi exercise to identify characteristic features of gout - Opinions from patients and physicians, the first stage in developing new classification criteria |
title_fullStr |
A Delphi exercise to identify characteristic features of gout - Opinions from patients and physicians, the first stage in developing new classification criteria |
title_full_unstemmed |
A Delphi exercise to identify characteristic features of gout - Opinions from patients and physicians, the first stage in developing new classification criteria |
title_sort |
delphi exercise to identify characteristic features of gout - opinions from patients and physicians, the first stage in developing new classification criteria |
publishDate |
2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875864600&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/52646 |
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