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The prevalence of multimorbidity measured by linked healthcare data and its association with mortality in a large longitudinal cohort

机译:在大型纵向队列中,通过关联的医疗保健数据衡量的多发病率及其与死亡率的关联

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BackgroundMultimorbidity, the co-existence of two or more health conditions, is a growing challenge. It has been measured using health service administrative data via the emerging consensus measure by Barnett (containing 40 health conditions). However,this was developed using Scottish-specific primary care coding, which restricts its application in other health systems. ObjectivesThe aim was to create International Classification of Disease (ICD) coding algorithms for all Barnett conditions, and evaluate the new measure by assessing the prevalence of multimorbidity and its association with mortality in the AberdeenChildren of the 1950s (ACONF) cohort. MethodWe combined results of a coding literature review with codes used commonly by the Scottish National Health Service, to identify ICD codes to each condition. Participants of the ACONF were linked to their secondary care healthcare records and mortality records. Multimorbidity was defined as the presence of two or more of the 40 conditions. The association between multimorbidity and mortalitywas assessed using Cox proportional hazards regression with adjustment for key covariates (age, gender, social class at birth, cognition at age 7, secondary school type and educational attainment). FindingsThe ACONF were aged 45 to 51 years in 2001. Of 8,094 ACONF members linked to administrative data, 246 (3%) had multimorbidity. Relative to those without multimorbidity, those with multimorbidity had a mortality hazard ratio (HR) of 5.9 (95% CI 4.6-7.4) over 15 years follow-up. This was unchanged when adjusted for covariates (HR 6.2, 95% CI 4.4-8.5). ConclusionWe have created a new version of the influential Barnett measure using ICD codes, which allows for its wider application across health systems. This measure of multimorbidity was associated with increased mortality, indicating it could helppredict poor outcome using administrative records.
机译:背景两种或两种以上健康状况并存的多发病是一个日益严峻的挑战。它是通过Barnett通过新出现的共识措施(包含40种健康状况)使用健康服务管理数据进行测量的。但是,这是使用苏格兰特定的初级保健编码开发的,这限制了其在其他卫生系统中的应用。目的目的是为所有Barnett病情创建国际疾病分类(ICD)编码算法,并通过评估1950年代阿伯丁儿童(ACONF)队列中的多发病率及其与死亡率的关联性来评估新措施。方法我们将编码文献综述的结果与苏格兰国家卫生局常用的编码结合起来,以识别每种情况下的ICD编码。 ACONF的参与者与他们的二级医疗保健记录和死亡率记录相关联。多发病率被定义为存在40种疾病中的两种或两种以上。使用Cox比例风险回归和关键协变量(年龄,性别,出生时的社会阶层,7岁时的认知,中学类型和受教育程度)进行调整,从而评估多发病与死亡率之间的关联。结果2001年ACONF年龄在45至51岁之间。在与行政数据相关的8,094名ACONF成员中,有246名(3%)患有多种疾病。相对于无多发病的患者,在15年的随访中,多发病的患者的死亡率危险比(HR)为5.9(95%CI 4.6-7.4)。调整协变量后此值不变(HR 6.2,95%CI 4.4-8.5)。结论我们使用ICD代码创建了具有影响力的Barnett度量的新版本,从而使其可以在整个卫生系统中得到更广泛的应用。这种多发病率的测量与死亡率增加有关,表明它可以使用行政记录来帮助预测不良结果。

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