Suppr超能文献

在中风背景下验证瑞典住院患者和死因登记。

Validation of the Swedish inpatient and cause-of-death registers in the context of stroke.

机构信息

Department of Neurology, Örebro University Hospital, Örebro, Sweden.

出版信息

Acta Neurol Scand. 2011 Apr;123(4):289-93. doi: 10.1111/j.1600-0404.2010.01402.x.

Abstract

BACKGROUND

Quality follow-up within stroke care is important in times when stroke prevalence is increasing and health care funds are limited. Administrative data, such as data from the inpatient register (IPR) and the cause-of-death register (CDR) are often used for this purpose, but the validity of such data has not been ascertained.

METHODS

During the year 1999-2000, a community-based stroke register was established in a Swedish municipality. Data from that register was compared with two administrative registers, the IPR and the CDR.

RESULTS

Using multiple overlapping data sources, 377 patients with first-ever stroke were found in the community-based register. Forty-four of these (12%) were missing in the IPR/CDR. Non-hospitalized patients were less likely to be registered in the IPR/CDR, as were patients who were not initially treated in a stroke unit. Stroke severity was lower among non-registered patients. Thirty patients (8%) in the IPR/CDR were misclassified as stroke patients.

CONCLUSIONS

Quality follow-up within stroke care could be biased or have low comparability, when administrative data are used. Great caution should be taken when data are derived from the inpatient and cause-of-death registers, and more validation work needs to be carried out in the context of stroke.

摘要

背景

在中风患病率不断上升且医疗保健资金有限的情况下,中风护理的质量随访非常重要。为此,通常会使用行政数据(如住院登记册 (IPR) 和死因登记册 (CDR) 的数据),但尚未确定此类数据的有效性。

方法

1999-2000 年期间,在瑞典的一个市建立了一个基于社区的中风登记处。该登记处的数据与两个行政登记处(住院登记册和死因登记册)进行了比较。

结果

使用多个重叠的数据来源,在社区登记处发现了 377 名首次发生中风的患者。其中 44 名(12%)在住院登记册/死因登记册中失踪。未住院的患者在住院登记册/死因登记册中的登记可能性较低,最初未在中风单元治疗的患者也是如此。未登记患者的中风严重程度较低。在住院登记册/死因登记册中有 30 名患者(8%)被错误分类为中风患者。

结论

如果使用行政数据,中风护理的质量随访可能存在偏差或可比性较低。从住院和死因登记册中获取数据时应格外小心,还需要在中风背景下进行更多的验证工作。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验