Experiences Using New Zealand’s Hospital Based Surveillance System for Injury Prevention Research

Author:

Langley J. D.

Abstract

Abstract:The focus of this paper is the Injury Prevention Research Unit’s (IPRU’s) experience in analysing New Zealand’s national inpatient 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 over 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. Given the numerous objections that are raised about E-coding, injury prevention personnel would be well served to encourage health authorities to electronically record narratives as a first step towards uniform coding.

Publisher

Georg Thieme Verlag KG

Subject

Health Information Management,Advanced and Specialized Nursing,Health Informatics

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3