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利用新西兰基于医院的监测系统进行伤害预防研究的经验。

Experiences using New Zealand's hospital based surveillance system for injury prevention research.

作者信息

Langley J D

机构信息

Depart of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand.

出版信息

Methods Inf Med. 1995 Sep;34(4):340-4.

PMID:7476464
Abstract

The focus of this paper is the Injury Prevention Research Unit's (IPRU's) experience in analysing New Zealand's national impatient public hospital injury data set. The existence of the national inpatient data management system has enabled the IPRU to develop an injury morbidity data set for the period of 1979-1992. The IPRU, thus, has data on ove 250,000 injury events that were serious enough to warrant admission to a hospital. This data set has been used extensively by the IPRU to address a wide range of injury issues from demographic, environment, activity, product, and injury perspectives. Apart from the demographic variables, those variables that have proved most useful in our work have been: length of stay, readmission indicator, a personal identifier code number, WHO International Classification of Disease coding for diagnoses and external cause of injury (E-code), and written descriptions of external cause of injuries and location of injury event. Practical examples of IPRU's use of each of these variables are given. These examples demonstrate how invaluable New Zealand's inpatient injury data set is for documenting resource utilisation, accurately determining the incidence of events, undertaking analytical epidemiological studies including evaluations, and addressing shortcomings in E-codes. A key aspect of the system is the narrative information. Evidence is produced demonstrates that the electronic recording of narratives of the circumstances of injury is an invaluable tool for conducting epidemiological research which has direct implications for injury prevention policy and practice.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

本文的重点是伤害预防研究单位(IPRU)分析新西兰全国公立医院住院患者伤害数据集的经验。国家住院数据管理系统的存在使IPRU能够编制1979年至1992年期间的伤害发病率数据集。因此,IPRU拥有超过25万起严重到足以住院治疗的伤害事件的数据。该数据集已被IPRU广泛用于从人口统计学、环境、活动、产品和伤害等多个角度解决各种伤害问题。除了人口统计学变量外,在我们的工作中被证明最有用的变量包括:住院时间、再入院指标、个人识别码、世界卫生组织疾病国际分类诊断编码和伤害外部原因(E编码),以及伤害外部原因和伤害事件地点的书面描述。文中给出了IPRU使用这些变量的实际例子。这些例子表明,新西兰的住院患者伤害数据集对于记录资源利用情况、准确确定事件发生率、进行包括评估在内的分析性流行病学研究以及解决E编码中的不足是多么宝贵。该系统的一个关键方面是叙述性信息。有证据表明,对伤害情况的叙述进行电子记录是开展流行病学研究的宝贵工具,这对伤害预防政策和实践具有直接影响。(摘要截选至250字)

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