Estimating the prevalence of polymyositis and dermatomyositis from administrative data: age, sex and regional differences

Bernatsky, Sasha; Joseph, Lawrence; Pineau, Christian; Bélisle, Patrick; Boivin, Jean‐François; Banerjee, Devi; Clarke, Ann E.

doi:10.1136/ard.2008.093161

Cited by 115 publications

(78 citation statements)

References 16 publications

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“…Between 1976 and 2007, a study in Olmsted County, Minnesota, showed that the overall age-and sex-adjusted incidence of DM, including all subtypes, was 9.63 per million persons (38). In the present study, the prevalence of PM and DM was 1.5 per 100,000 persons and 1.6 per 100,000 persons, respectively, which was lower than that reported in a previous study (36). The SMRs of PM/DM were reported to be 1.75-2.92 (39,40), which is similar to that found in the present study (2.5).…”

Section: Discussioncontrasting

confidence: 79%

Prevalence and incidence in patients with autoimmune rheumatic diseases: A nationwide population‐based study in Taiwan

See

Kuo

et al. 2013

Arthritis Care & Research

117

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Section: Discussioncontrasting

confidence: 79%

Prevalence and incidence in patients with autoimmune rheumatic diseases: A nationwide population‐based study in Taiwan

See

Kuo

et al. 2013

Arthritis Care & Research

117

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“…To account for the imperfect sensitivity and specificity of billing and hospitalization data in case ascertainment, as well as the influence of demographic factors on prevalence, we used the latent class hierarchical regression model (12,14) that has been developed based on a Bayesian approach (24). Latent class models are applicable in instances where there is no gold standard for determining cases, such as in administrative data sets.…”

Section: Discussionmentioning

confidence: 99%

“…Demographic factors, such as an individual's age, sex, socioeconomic status, level of education, and location of residence, may therefore affect their propensity to be diagnosed with a SARD, as these factors influence symptom recognition, presentation to health care providers, and ongoing followup. The influence of demographic factors on SARD prevalence has been previously demonstrated (12)(13)(14)(15). The effect of demographic factors on disease diagnosis and thus prevalence may be particularly amplified in the First Nations population, where differential access to health services has been documented for care in general (16,17), nephrology services (18), and rheumatologist care (3).…”

Section: Introductionmentioning

confidence: 99%

Prevalence of systemic lupus erythematosus and systemic sclerosis in the First Nations population of Alberta, Canada

Barnabe

Joseph

Bélisle

et al. 2011

Arthritis Care & Research

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Objective. To estimate the population-based prevalence of systemic lupus erythematosus (SLE) and systemic sclerosis (SSc) in Alberta, Canada, stratified by First Nations status. Methods. Physician billing claims and hospitalization data for the province of Alberta (1994 -2007) were used to ascertain cases of SLE and SSc using 3 case definitions. A latent class Bayesian hierarchical regression model was employed to account for the imperfect sensitivity and specificity of billing and hospitalization data in case ascertainment. We accounted for demographic factors, estimating prevalence rates for the First Nations and non-First Nations populations by sex, age group, and location of residence (urban/rural). Results. Our model estimated the prevalence of SLE in Alberta to be 27.3 cases per 10,000 females (95% credible interval [95% CrI] 25.9 -28.8) and 3.2 cases per 10,000 males (95% CrI 2.6 -3.8). The overall prevalence of SSc in Alberta was 5.8 cases per 10,000 females (95% CrI 5.1-6.5) and 1.0 case per 10,000 males (95% CrI 0.7-1.4). First Nations females over 45 years of age had twice the prevalence of either SLE or SSc relative to non-First Nations females. There was also a trend toward higher overall SLE prevalence in urban dwellers, and higher overall SSc prevalence in rural residents. Conclusion. First Nations females older than 45 years of age have an increased prevalence of either SLE or SSc. This may reflect a true predominance of autoimmune rheumatic diseases in this demographic, or may indicate systematic differences in health care delivery.

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“…We adjusted for the imperfect sensitivity and specificity of the data, using previously developed methods, which do not assume the existence of a gold standard [9]. These methods allow estimation not only of disease prevalence, but also of the sensitivity and specificity of each of the three different case definitions.…”

Section: Methodsmentioning

confidence: 99%

Surveillance of systemic autoimmune rheumatic diseases using administrative data

et al. 2010

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There is growing interest in developing tools and methods for the surveillance of chronic rheumatic diseases, using existing resources such as administrative health databases. To illustrate how this might work, we used population-based administrative data to estimate and compare the prevalence of systemic autoimmune rheumatic diseases (SARDs) across three Canadian provinces, assessing for regional differences and the effects of demographic factors. Cases of SARDs (systemic lupus erythematosus, scleroderma, primary Sjogren's, polymyositis/dermatomyositis) were ascertained from provincial physician billing and hospitalization data. We combined information from three case definitions, using hierarchical Bayesian latent class regression models that account for the imperfect nature of each case definition. Using methods that account for the imperfect nature of both billing and hospitalization databases, we estimated the over-all prevalence of SARDs to be approximately 2-3 cases per 1,000 residents. Stratified prevalence estimates suggested similar demographic trends across provinces (i.e. greater prevalence in females-versus-males, and in persons of older age). The prevalence in older females approached or exceeded 1 in 100, which may reflect the high burden of primary Sjogren's syndrome in this group. Adjusting for demographics, there was a greater prevalence in urban-versus-rural settings. In our work, prevalence estimates had good face validity and provided useful information about potential regional and demographic variations. Our results suggest that surveillance of some rheumatic diseases using administrative data may indeed be feasible. Our work highlights the usefulness of using multiple data sources, adjusting for the error in each.

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Estimating the prevalence of polymyositis and dermatomyositis from administrative data: age, sex and regional differences

Abstract: Marked variations were found in the prevalence of polymyositis and dermatomyositis according to age, sex and region. These methods allow adjustment for the imperfect nature of multiple data sources and estimation of the sensitivity of different case ascertainment approaches.

Cited by 115 publications

References 16 publications

Prevalence and incidence in patients with autoimmune rheumatic diseases: A nationwide population‐based study in Taiwan

Prevalence and incidence in patients with autoimmune rheumatic diseases: A nationwide population‐based study in Taiwan

Prevalence of systemic lupus erythematosus and systemic sclerosis in the First Nations population of Alberta, Canada

Surveillance of systemic autoimmune rheumatic diseases using administrative data

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