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心血管疾病的护理和监测评估:我们能相信医院的医疗行政数据吗?

Evaluation of care and surveillance of cardiovascular disease: can we trust medico-administrative hospital data?

机构信息

Institut national d'excellence en santé et en services sociaux, Montréa1, Québec, Canada.

出版信息

Can J Cardiol. 2012 Mar-Apr;28(2):162-8. doi: 10.1016/j.cjca.2011.10.005. Epub 2012 Jan 9.

Abstract

BACKGROUND

The evaluation of care and the surveillance of disease are important in respect to cardiovascular disease because it is prevalent and costly. In Canada, medico-administrative hospital data are readily available, continuously updated, and offer comprehensive coverage of the patient population. However, there is concern about the quality of the information.

METHODS

The reliability and predictive capability of comorbidity data contained within Québec's hospital discharge database were assessed in comparison with data collected by clinical medical record reabstraction in a sample of 1989 patients hospitalized from 2002 to 2006 in a mix of 13 hospitals. Patients either had a principal diagnosis of myocardial infarction or underwent angioplasty or bypass surgery. Twenty-one comorbidities included in the Charlson comorbidity index or known to be associated with mortality were validated via medical record reabstraction.

RESULTS

Of 14 comorbidities with > 2% prevalence, 8 had excellent agreement with medical record review (κ > 0.8) while 6 had substantial agreement (κ > 0.6). In general, positive predictive values were high, while measures of sensitivity were more variable. Univariate associations between comorbidities and 30-day and 1-year mortality were generally similar in the 2 data sources. Comorbidities retained in the final multivariate stepwise regression models from each data source were almost identical, as were the 2 models' abilities to predict mortality.

CONCLUSIONS

Hospital discharge data in Québec are, in general, reliably coded and compare favourably with clinical medical record review in their ability to predict mortality. It appears sufficiently reliable to provide useful information about clinical outcomes of cardiac care and to identify problems that warrant investigation.

摘要

背景

由于心血管疾病普遍存在且费用高昂,因此对其进行护理评估和疾病监测至关重要。在加拿大,医疗管理医院数据易于获取、持续更新,并且全面涵盖了患者群体。然而,人们对这些信息的质量存在担忧。

方法

通过比较 2002 年至 2006 年间在 13 家医院住院的 1989 名患者的临床病历重新摘录数据,评估了魁北克省住院数据库中合并症数据的可靠性和预测能力。这些患者的主要诊断为心肌梗死或接受了血管成形术或旁路手术。通过病历重新摘录验证了包括 Charlson 合并症指数中的 21 种合并症或已知与死亡率相关的合并症。

结果

在 14 种患病率 > 2%的合并症中,有 8 种与病历审查具有极好的一致性(κ> 0.8),而 6 种具有高度一致性(κ> 0.6)。一般来说,阳性预测值较高,而敏感性的衡量指标则更为多变。在两个数据源中,合并症与 30 天和 1 年死亡率之间的单变量关联基本相似。每个数据源的最终多变量逐步回归模型中保留的合并症几乎相同,两个模型预测死亡率的能力也几乎相同。

结论

魁北克省的住院数据总体上编码可靠,并且在预测死亡率方面与临床病历审查相比表现出色。它似乎足够可靠,可以提供有关心脏护理临床结果的有用信息,并确定需要调查的问题。

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