Validity of Self-reported Diagnosis of Rheumatoid Arthritis

Mutairi, Khalid Bander Al; Nossent, Jiri; Inderjeeth, Charles

doi:10.3899/jrheum.191401

Cited by 4 publications

(2 citation statements)

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“…These estimates align with the international literature [ 26 , 28 ], but are well below the 1.9% prevalence reported by national agencies such as the AIHW [ 4 ]. The current study findings indicate that self-reported RA data in Australia significantly overestimate the prevalence of RA [ 6 ], consistent with confirmed (0.27%) versus self-reported prevalence (1.9%) data from South Korea [ 28 ].…”

Section: Discussionsupporting

confidence: 85%

“…The prevalence of RA in the Australian population has been estimated at 1.9%, based on self-reported data as part of the National Health Survey (2017–2018) [ 4 ]. This would make Australia the country with the world’s highest reported RA prevalence [ 5 ], but self-reported diagnosis is unreliable for identifying RA cases as only a low proportion (21–34%) will have RA verified upon clinical review [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

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The prevalence of rheumatoid arthritis in Western Australia

et al. 2022

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Background Rheumatoid arthritis (RA) is the most common form of autoimmune arthritis, but the prevalence in Australia is unknown. We estimated RA period prevalence and identified factors associated with frequent RA hospitalisations, using linked administrative health and state-specific Australian Pharmaceutical Benefits Scheme (PBS) datasets in Western Australia (WA) from 1995 to 2014. Methods This was a longitudinal population-based cohort study using two independent datasets to identify prevalent RA patients. RA prevalence was calculated per 1000 hospital separations and biological therapy users. RA patients were identified in the WA linked health dataset using ICD codes 714.0–714.9 and M05.00–M06.99. Dispensing data on biological therapy for RA were obtained from PBS records and converted to defined daily doses /1000 population/day. Multivariable logistic regression was used to analyse factors associated with frequent RA hospitalisations (> 2/year), controlling for sex, age, and geographic locations. Potential interactions were assessed using logistic regression in a stepwise approach. Results A total of 17,125 RA patients had 50,353 hospital separations between 1995 and 2014, averaging three hospitalisations per patient over 20 years. The RA period prevalence was 3.4 per 1000 separations (0.34%; 95% CI 0.33–0.34), while the RA period prevalence based on biological therapy use was 0.36% (95% CI 0.35–0.37). The corrected RA prevalence based on biological therapy usage was 0.36% (95% CI 0.35–0.37) for the 2005–2009 and increased to 0.72% (95% CI 0.70–0.74) in 2010–2014 period. Associated factors for frequent RA hospitalisations were being female [1.21 (95% CI 1.15–1.26)], aged 60–69 years [4.45 (95% CI 3.74–5.30)], living in rural areas [1.12 (95% CI 1.02–1.24)]. The odd ratio of interaction between these associated factors was 1.34 (95% CI 1.16–1.55). Conclusion The minimal prevalence of RA in Western Australia is 0.34–0.36%, which falls within the literature range. Older female RA patients in rural were more likely to be hospitalised, suggesting unmet primary care for needs.

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