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儿科急诊科临床和管理数据源出院诊断结果不一致。

Lack of agreement in pediatric emergency department discharge diagnoses from clinical and administrative data sources.

作者信息

Gorelick Marc H, Knight Stacey, Alessandrini Evaline A, Stanley Rachel M, Chamberlain James M, Kuppermann Nathan, Alpern Elizabeth R

机构信息

Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA.

出版信息

Acad Emerg Med. 2007 Jul;14(7):646-52. doi: 10.1197/j.aem.2007.03.1357. Epub 2007 Jun 6.

Abstract

BACKGROUND

Diagnosis information from existing data sources is used commonly for epidemiologic, administrative, and research purposes. The quality of such data for emergency department (ED) visits is unknown.

OBJECTIVES

To determine the agreement on final diagnoses between two sources, electronic administrative sources and manually abstracted medical records, for pediatric ED visits, in a multicenter network.

METHODS

This was a cross sectional study at 19 EDs nationwide. The authors obtained data from two sources at each ED during a three-month period in 2003: administrative sources for all visits and abstracted records for randomly selected visits during ten days over the study period. Records were matched using unique identifiers and probabilistic linkage. The authors recorded up to three diagnoses from each abstracted medical record and up to ten for the administrative data source. Diagnoses were grouped into 104 groups using a modification of the Clinical Classification System.

RESULTS

A total of 8,860 abstracted records had at least one valid diagnosis code (with a total of 12,895 diagnoses) and were successfully matched to records in the administrative source. Overall, 67% (95% confidence interval = 66% to 68%) of diagnoses from the administrative and abstracted sources were within the same diagnosis group. Agreement varied by site, ranging from 54% to 77%. Agreement varied substantially by diagnosis group; there was no difference by method of linkage. Clustering clinically similar diagnosis groups improved agreement between administrative and abstracted data sources.

CONCLUSIONS

ED diagnoses retrieved from electronic administrative sources and manual chart review frequently disagree, even if similar diagnosis codes are grouped. Agreement varies by institution and by diagnosis. Further work is needed to improve the accuracy of diagnosis coding; development of a grouping system specific to pediatric emergency care may be beneficial.

摘要

背景

来自现有数据源的诊断信息通常用于流行病学、行政管理和研究目的。此类数据用于急诊科(ED)就诊的质量尚不清楚。

目的

在一个多中心网络中,确定电子行政数据源和人工提取的病历这两种来源之间关于儿科急诊就诊最终诊断的一致性。

方法

这是一项在全国19个急诊科进行的横断面研究。作者在2003年的三个月期间从每个急诊科的两个来源获取数据:所有就诊的行政数据源以及研究期间随机选择的十天内就诊的提取记录。记录使用唯一标识符和概率链接进行匹配。作者从每份提取的病历中记录多达三个诊断,从行政数据源中记录多达十个诊断。使用临床分类系统的修改版将诊断分为104组。

结果

共有8860份提取记录至少有一个有效的诊断代码(总共12895个诊断),并成功与行政来源中的记录匹配。总体而言,行政和提取来源的诊断中有67%(95%置信区间=66%至68%)属于同一诊断组。一致性因地点而异,范围从54%到77%。一致性因诊断组而异;链接方法之间没有差异。将临床相似的诊断组合并可提高行政和提取数据源之间的一致性。

结论

即使将相似的诊断代码分组,从电子行政数据源和人工病历审查中检索到的急诊科诊断也经常不一致。一致性因机构和诊断而异。需要进一步开展工作以提高诊断编码的准确性;开发特定于儿科急诊护理的分组系统可能会有所帮助。

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