Estimating the Burden of Osteoarthritis to Plan for the Future
Estimating the Burden of Osteoarthritis to Plan for the Future
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DOI：
10.1002/acr.22612
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发表时间：
2015-10-01
影响因子：
4.7
通讯作者：
Noseworthy, Tom
中科院分区：
文献类型：
--
作者：
Marshall, Deborah A.;Vanderby, Sonia;Noseworthy, Tom
Objective.随着老龄化和肥胖趋势，骨关节炎（OA）的发病率和患病率预计将在加拿大上升，增加了对卫生资源的需求。资源规划，以满足这一日益增长的需求，需要估计的OA患者的预期数量。使用阿尔伯塔的行政数据，我们估计OA发病率和患病率，并检查其敏感性的替代病例定义。我们使用诊断代码和药物识别号在1993年至2010年的关联数据集中识别病例（人口登记、出院摘要数据库、医生索赔、门诊护理分类系统和处方药数据）。在基础病例中，采集了2年内至少2次医生访视或任何住院的OA诊断代码患者的事件病例。7种不同的情况下定义的应用和比较。在基本情况下，按性别和性别标准化的发病率和流行率估计分别为每1 000人8.6例和80.3例。仅医生索赔数据就捕获了88%的OA病例。患病率估计需要15年的纵向数据才能达到平台。与基本情况相比，估计值对其他情况定义敏感。行政数据库是估计慢性病（如OA）在加拿大的负担和流行病学趋势的关键来源。尽管存在局限性，但这些数据为估计疾病负担和规划卫生服务提供了有价值的信息。骨关节炎的估计主要是通过医生索赔数据定义的，需要长期的纵向数据。
Objective. With aging and obesity trends, the incidence and prevalence of osteoarthritis (OA) is expected to rise in Canada, increasing the demand for health resources. Resource planning to meet this increasing need requires estimates of the anticipated number of OA patients. Using administrative data from Alberta, we estimated OA incidence and prevalence rates and examined their sensitivity to alternative case definitions.Methods. We identified cases in a linked data set spanning 1993 to 2010 (population registry, Discharge Abstract Database, physician claims, Ambulatory Care Classification System, and prescription drug data) using diagnostic codes and drug identification numbers. In the base case, incident cases were captured for patients with an OA diagnostic code for at least 2 physician visits within 2 years or any hospital admission. Seven alternative case definitions were applied and compared.Results. Age-and sex-standardized incidence and prevalence rates were estimated to be 8.6 and 80.3 cases per 1,000 population, respectively, in the base case. Physician claims data alone captured 88% of OA cases. Prevalence rate estimates required 15 years of longitudinal data to plateau. Compared to the base case, estimates are sensitive to alternative case definitions.Conclusion. Administrative databases are a key source for estimating the burden and epidemiologic trends of chronic diseases such as OA in Canada. Despite their limitations, these data provide valuable information for estimating disease burden and planning health services. Estimates of OA are mostly defined through physician claims data and require a long period of longitudinal data.