首页> 外文期刊>BMC Musculoskeletal Disorders >Associations between socioeconomic status and primary total knee joint replacements performed for osteoarthritis across Australia 2003–10: data from the Australian Orthopaedic Association National Joint Replacement Registry
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Associations between socioeconomic status and primary total knee joint replacements performed for osteoarthritis across Australia 2003–10: data from the Australian Orthopaedic Association National Joint Replacement Registry

机译:2003–10年间在澳大利亚进行的骨关节炎的社会经济地位与主要全膝关节置换术之间的关联:澳大利亚骨科协会全国关节置换注册中心的数据

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Background Relatively little is known about the social distribution of total knee joint replacement (TKR) uptake in Australia. We examine associations between socioeconomic status (SES) and TKR performed for diagnosed osteoarthritis 2003–10 for all Australian males and females aged ≥30?yr. Methods Data of primary TKR (n?=?213,018, 57.4% female) were ascertained from a comprehensive national joint replacement registry. Residential addresses were matched to Australian Census data to identify area-level social disadvantage, and categorised into deciles. Estimated TKR rates were calculated. Poisson regression was used to model the relative risk (RR) of age-adjusted TKR per 1,000py, stratified by sex and SES. Results A negative relationship was observed between TKR rates and SES deciles. Females had a greater rate of TKR than males. Surgery utilisation was greatest for all adults aged 70-79?yr. In that age group differences in estimated TKR per 1,000py between deciles were greater for 2010 than 2003 (females: 2010 RR 4.32 and 2003 RR 3.67; males: 2010 RR 2.04 and 2003 RR 1.78). Conclusions Identifying factors associated with TKR utilisation and SES may enhance resource planning and promote surgery utilisation for end-stage osteoarthritis.
机译:背景技术关于澳大利亚全膝关节置换术(TKR)吸收的社会分布知之甚少。我们检查了所有≥30岁的澳大利亚男性和女性在2003-10年诊断出的骨关节炎的社会经济状况(SES)与TKR之间的关联。方法通过全面的国家联合置换登记处确定原发性TKR的数据(n≥213130,女性占57.4%)。居住地址与澳大利亚人口普查数据相匹配,以识别区域级的社会劣势,并分类为十分之几。计算了估计的TKR率。使用Poisson回归模型对按性别和SES进行分层的每1,000 py年龄校正后的TKR的相对风险(RR)进行建模。结果TKR率与SES十分位数之间呈负相关。女性的TKR率高于男性。对于70-79岁的所有成年人,手术利用率最高。在该年龄组中,2010年每千分之千的估计TKR差异大于2003年(女性:2010年RR 4.32和2003 RR 3.67;男性:2010年RR 2.04和2003年1.78 RR)。结论确定与TKR利用率和SES相关的因素可以增强资源规划并促进晚期骨关节炎的手术利用率。

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