Improving domain definition and outcome instrument selection
Autor: | Lara J Maxwell, Victor S. Sloan, Marion A J van Rossum, Robin Christensen, Mikkel Østergaard, Lene Terslev, Win Min Oo, Sam Michel Cembalo, Walter P. Maksymowych, Maarten de Wit, Maria Antonietta D'Agostino, Philip G. Conaghan, Codruta Zabalan, Maarten Boers, Dorcas E. Beaton, Paul Bird, Catherine Hofstetter, Alison M. Hoens, Teodora Serban, Andrea S. Doria |
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Přispěvatelé: | Epidemiology and Data Science, AII - Inflammatory diseases, APH - Methodology, General Paediatrics, Amsterdam institute for Infection and Immunity |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Diagnostic Imaging
Settore MED/16 - REUMATOLOGIA Process (engineering) media_common.quotation_subject patient reporting outcomes Context (language use) rheumatic and musculoskeletal diseases Outcome (game theory) Imaging Domain (software engineering) Rheumatology Humans Medicine Quality (business) Selection algorithm Selection (genetic algorithm) media_common ultrasound business.industry OMERACT Outcome measurement instruments methodology Data science Anesthesiology and Pain Medicine Key (cryptography) business MRI |
Zdroj: | Seminars in Arthritis and Rheumatism, 51(5), 1125-1133. W.B. Saunders Ltd Seminars in arthritis and rheumatism, 51(5), 1125-1133. W.B. Saunders Ltd D'Agostino, M A, Beaton, D E, Maxwell, L J, Cembalo, S M, Hoens, A M, Hofstetter, C, Zabalan, C, Bird, P, Christensen, R, de Wit, M, Doria, A S, Maksymowych, W P, Oo, W M, Østergaard, M, Serban, T, Sloan, V S, Terslev, L, van Rossum, M A, Conaghan, P G & Boers, M 2021, ' Improving domain definition and outcome instrument selection : Lessons learned for OMERACT from imaging ', Seminars in Arthritis and Rheumatism, vol. 51, no. 5, pp. 1125-1133 . https://doi.org/10.1016/j.semarthrit.2021.08.004, https://doi.org/10.1016/j.semarthrit.2021.08.004 D'Agostino, M A, Beaton, D E, Maxwell, L J, Cembalo, S M, Hoens, A M, Hofstetter, C, Zabalan, C, Bird, P, Christensen, R, de Wit, M, Doria, A S, Maksymowych, W P, Oo, W M, Østergaard, M, Serban, T, Sloan, V S, Terslev, L, van Rossum, M A, Conaghan, P G & Boers, M 2021, ' Improving domain definition and outcome instrument selection : Lessons learned for OMERACT from imaging ', Seminars in Arthritis and Rheumatism, vol. 51, no. 5, pp. 1125-1133 . https://doi.org/10.1016/j.semarthrit.2021.08.004 |
ISSN: | 0049-0172 |
Popis: | Objectives Imaging is one of the most rapidly evolving fields in medicine. Unfortunately, many imaging technologies have been applied as measurement instruments without rigorous evaluation of the evidence supporting their truth, discriminatory capability and feasibility for that context of use. The Outcome Measures in Rheumatology (OMERACT) Filter 2.1 Instrument Selection Algorithm (OFISA) is used to evaluate such evidence for use of an instrument in a research setting. The objectives of this work are to: [1] define and describe the key conceptual aspects that are essential for the evaluation of imaging as an outcome measurement instrument and [2] describe how these aspects can be assessed through OFISA. Methods Experts in imaging and/or methodology met to formalize concepts and define key steps. These concepts were discussed with a team of patient research partners with interest in imaging to refine technical and methodological aspects into comprehensible information. A workshop was held at OMERACT2020 and feedback was incorporated into existing OMERACT process for domain and instrument selection. Results Three key lessons were identified: (1) a clear definition of the domain we want to measure is a necessary prerequisite to the selection of a good instrument, (2) the sources of variability that can directly influence the instrument should be clearly identified, (3) incorporating these first two lessons into OFISA improves the quality of every instrument selection process. Conclusions The incorporation of these lessons in the updated OMERACT Filter (now 2.2) will improve the quality of the selection process for all types of outcome measurement instruments. |
Databáze: | OpenAIRE |
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