دورية أكاديمية

A novel method to monitor rheumatoid arthritis prevalence using hospital and medication databases.

التفاصيل البيبلوغرافية
العنوان: A novel method to monitor rheumatoid arthritis prevalence using hospital and medication databases.
المؤلفون: Koller-Smith L; Frazer Institute, The University of Queensland, Translational Research Institute (TRI), Level 7, 37 Kent St, Woolloongabba, QLD, 4102, Australia.; Florance and Cope Professorial Department of Rheumatology, Royal North Shore Hospital and Kolling Institute and Sydney MSK Flagship, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia., Mehdi A; Frazer Institute, The University of Queensland, Translational Research Institute (TRI), Level 7, 37 Kent St, Woolloongabba, QLD, 4102, Australia.; Facility for Advanced Bioinformatics, Queensland Cyber Infrastructure Foundation Ltd, Brisbane, QLD, 4072, Australia., March L; Florance and Cope Professorial Department of Rheumatology, Royal North Shore Hospital and Kolling Institute and Sydney MSK Flagship, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia., Tooth L; School of Public Health, The University of Queensland, Brisbane, QLD, Australia., Mishra GD; School of Public Health, The University of Queensland, Brisbane, QLD, Australia., Thomas R; Frazer Institute, The University of Queensland, Translational Research Institute (TRI), Level 7, 37 Kent St, Woolloongabba, QLD, 4102, Australia. ranjeny.thomas@uq.edu.au.
المصدر: Arthritis research & therapy [Arthritis Res Ther] 2024 Jul 16; Vol. 26 (1), pp. 133. Date of Electronic Publication: 2024 Jul 16.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: BioMed Central Country of Publication: England NLM ID: 101154438 Publication Model: Electronic Cited Medium: Internet ISSN: 1478-6362 (Electronic) Linking ISSN: 14786354 NLM ISO Abbreviation: Arthritis Res Ther Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : BioMed Central, 2003-
مواضيع طبية MeSH: Arthritis, Rheumatoid*/drug therapy , Arthritis, Rheumatoid*/epidemiology , Arthritis, Rheumatoid*/diagnosis , Databases, Factual* , Antirheumatic Agents*/therapeutic use , Self Report*, Humans ; Female ; Australia/epidemiology ; Prevalence ; Middle Aged ; Longitudinal Studies ; Aged ; Adult ; Algorithms
مستخلص: Background: Most estimates of rheumatoid arthritis (RA) prevalence, including all official figures in Australia and many other countries, are based on self-report. Self-report has been shown to overestimate RA, but the 'gold standard' of reviewing individual medical records is costly, time-consuming and impractical for large-scale research and population monitoring. This study provides an algorithm to estimate RA cases using administrative data that can be adjusted for use in multiple contexts to provide the first approximate RA cohort in Australia that does not rely on self-report.
Methods: Survey data on self-reported RA and medications from 25 467 respondents of the Australian Longitudinal Study on Women's Health (ALSWH) were linked with data from the national medication reimbursement database, hospital and emergency department (ED) episodes, and Medicare Benefits codes. RA prevalence was calculated for self-reported RA, self-reported RA medications, dispensed RA medications, and hospital/ED RA presentations. Linked data were used to exclude individuals with confounding autoimmune conditions.
Results: Of 25 467 survey respondents, 1367 (5·4%) women self-reported disease. Of the 26 840 women with hospital or ED presentations, 292 (1·1%) received ICD-10 codes for RA. There were 1038 (2·8%) cases by the medication database definition, and 294 cases (1·5%) by the self-reported medication definition. After excluding individuals with other rheumatic conditions, prevalence was 3·9% for self-reported RA, 1·9% based on the medication database definition and 0·5% by self-reported medication definition. This confirms the overestimation of RA based on self-reporting.
Conclusions: We provide an algorithm for identifying individuals with RA, which could be used for population studies and monitoring RA in Australia and, with adjustments, internationally. Its balance of accuracy and practicality will be useful for health service planning using relatively easily accessible input data.
(© 2024. The Author(s).)
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معلومات مُعتمدة: APP2009577 National Health and Medical Research Council; APP2008287 National Health and Medical Research Council
فهرسة مساهمة: Keywords: Case-finding; Database; Prevalence; Rheumatoid arthritis; Self-report
المشرفين على المادة: 0 (Antirheumatic Agents)
تواريخ الأحداث: Date Created: 20240716 Date Completed: 20240717 Latest Revision: 20240719
رمز التحديث: 20240719
مُعرف محوري في PubMed: PMC11251372
DOI: 10.1186/s13075-024-03366-x
PMID: 39014427
قاعدة البيانات: MEDLINE
الوصف
تدمد:1478-6362
DOI:10.1186/s13075-024-03366-x