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[数据收集方法对里昂公立医院心肌梗死入院病例医疗经济分类的影响]

[The impact of the data collection method on the medico-economic classification of admissions for myocardial infarction at the public hospitals in Lyon].

作者信息

Rabilloud M, Ecochard R, Myard A F, Delahaye F, Colin C, Matillon Y

机构信息

Département d'Information Médicale des Hospices Civils de Lyon, Hôtel Dieu.

出版信息

Arch Mal Coeur Vaiss. 1998 Jun;91(6):709-14.

PMID:9749186
Abstract

The aim of the PMSI (Programme de Médicalisation du Système d'Information) is to describe the activity of hospitals for budget allocation. To control the quality of this information, the authors carried out a study comparing the classification in homogenous disease groups (HDG) obtained from the PMSI with that obtained from the epidemiological data base of the PRIMA trial for patients admitted to the Civil Hospitals of Lyon for myocardial infarction between September 1st 1993 and January 31st 1995. Six hundred and fifty standardised hospital summaries were reconstituted form PRIMA data and grouped using the GENRSA 3 software. Five hundred and forty-one of these hospital stays were found in the PMSI data base and grouped. The concordance not due to chance between the two classifications was then assessed by the global kappa coefficient. It was less than the 40% threshold under which concordance not due to chance is considered to be unlikely. The discordances were essentially due to the presence of an associated diagnosis classifying the hospital stay in the HDG corresponding to complicated myocardial infarction. The presence of a classifying associated diagnosis was observed significantly more often in the PRIMA than in the PMSI data base. This results in an underestimation of the hospital activity and could have important repercussions in terms of budget allocation.

摘要

医院信息系统医疗计划(PMSI)的目的是描述医院活动以进行预算分配。为控制此信息的质量,作者开展了一项研究,比较了从PMSI获得的同质疾病组(HDG)分类与从PRIMA试验的流行病学数据库获得的分类,该研究针对1993年9月1日至1995年1月31日期间因心肌梗死入住里昂市立医院的患者。从PRIMA数据中重构了650份标准化医院摘要,并使用GENRSA 3软件进行分组。在PMSI数据库中找到了其中541次住院记录并进行了分组。然后通过全局kappa系数评估两种分类之间非偶然的一致性。它低于40%的阈值,低于该阈值时非偶然的一致性被认为不太可能。不一致主要是由于存在一个相关诊断,该诊断将住院归类到与复杂性心肌梗死相对应的HDG中。在PRIMA中观察到存在分类相关诊断的情况比在PMSI数据库中明显更频繁。这导致对医院活动的低估,并且在预算分配方面可能产生重要影响。

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