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Disease identification based on ambulatory drugs dispensation and in-hospital ICD-10 diagnoses: a comparison.

机译:根据动态药物分配和医院ICD-10诊断进行疾病鉴定:比较。

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摘要

BACKGROUND: Pharmacy-based case mix measures are an alternative source of information to the relatively scarce outpatient diagnoses data. But most published tools use national drug nomenclatures and offer no head-to-head comparisons between drugs-related and diagnoses-based categories. The objective of the study was to test the accuracy of drugs-based morbidity groups derived from the World Health Organization Anatomical Therapeutic Chemical Classification of drugs by checking them against diagnoses-based groups.METHODS: We compared drugs-based categories with their diagnoses-based analogues using anonymous data on 108,915 individuals insured with one of four companies. They were followed throughout 2005 and 2006 and hospitalized at least once during this period. The agreement between the two approaches was measured by weighted kappa coefficients. The reproducibility of the drugs-based morbidity measure over the 2 years was assessed for all enrollees.RESULTS: Eighty percent used a drug associated with at least one of the 60 morbidity categories derived from drugs dispensation. After accounting for inpatient under-coding, fifteen conditions agreed sufficiently with their diagnoses-based counterparts to be considered alternative strategies to diagnoses. In addition, they exhibited good reproducibility and allowed prevalence estimates in accordance with national estimates. For 22 conditions, drugs-based information identified accurately a subset of the population defined by diagnoses.CONCLUSIONS: Most categories provide insurers with health status information that could be exploited for healthcare expenditure prediction or ambulatory cost control, especially when ambulatory diagnoses are not available. However, due to insufficient concordance with their diagnoses-based analogues, their use for morbidity indicators is limited.
机译:背景:基于药房的病例混合措施是相对稀缺的门诊诊断数据的替代信息来源。但是,大多数已发布的工具都使用国家药品命名法,并且没有提供与毒品相关的类别和基于诊断的类别之间的直接对比。这项研究的目的是通过对照基于诊断的组来检验源自世界卫生组织药物解剖化学分类的基于药物的发病组的准确性。方法:我们将基于药物的类别与基于诊断的类别进行了比较使用匿名数据的类似物,这些数据涉及四家公司之一的108,915个人的保险。他们在2005年和2006年进行了随访,在此期间至少住院了一次。两种方法之间的一致性是通过加权kappa系数来衡量的。对所有入组者评估了基于药物的发病率在过去2年中的可重复性。结果:百分之八十的人使用了至少与60种发病率相关的药物。在考虑了住院患者编码不足的情况后,有十五种条件与他们基于诊断的对应条件充分吻合,被视为诊断的替代策略。此外,它们显示出良好的可重复性,并允许根据国家估算进行流行率估算。对于22种情况,基于药物的信息可以准确地确定诊断所定义的人群的一部分。结论:大多数类别为保险公司提供健康状况信息,可用于医疗保健支出预测或门诊成本控制,尤其是在无法进行门诊诊断的情况下。但是,由于与基于诊断的类似物之间的一致性不足,因此它们在发病率指标中的使用受到限制。

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