西澳大利亚罕见病的总体影响:基于人群队列的估计

The collective impact of rare diseases in Western Australia: an estimate using a population-based cohort.

作者信息

Walker Caroline E, Mahede Trinity, Davis Geoff, Miller Laura J, Girschik Jennifer, Brameld Kate, Sun Wenxing, Rath Ana, Aymé Ségolène, Zubrick Stephen R, Baynam Gareth S, Molster Caron, Dawkins Hugh J S, Weeramanthri Tarun S

机构信息

Office of Population Health Genomics, Public Health Division, Department of Health, Government of Western Australia, Perth, Australia.

Data Linkage Branch, Purchasing and System Performance, Department of Health, Government of Western Australia, Perth, Australia.

出版信息

Genet Med. 2017 May;19(5):546-552. doi: 10.1038/gim.2016.143. Epub 2016 Sep 22.

Abstract

PURPOSE

It has been argued that rare diseases should be recognized as a public health priority. However, there is a shortage of epidemiological data describing the true burden of rare diseases. This study investigated hospital service use to provide a better understanding of the collective health and economic impacts of rare diseases.

METHODS

Novel methodology was developed using a carefully constructed set of diagnostic codes, a selection of rare disease cohorts from hospital administrative data, and advanced data-linkage technologies. Outcomes included health-service use and hospital admission costs.

RESULTS

In 2010, cohort members who were alive represented approximately 2.0% of the Western Australian population. The cohort accounted for 4.6% of people discharged from hospital and 9.9% of hospital discharges, and it had a greater average length of stay than the general population. The total cost of hospital discharges for the cohort represented 10.5% of 2010 state inpatient hospital costs.

CONCLUSIONS

This population-based cohort study provides strong new evidence of a marked disparity between the proportion of the population with rare diseases and their combined health-system costs. The methodology will inform future rare-disease studies, and the evidence will guide government strategies for managing the service needs of people living with rare diseases.Genet Med advance online publication 22 September 2016.

摘要

目的

有人认为应将罕见病视为公共卫生重点。然而,描述罕见病真实负担的流行病学数据匮乏。本研究调查了医院服务利用情况,以更好地了解罕见病对健康和经济的综合影响。

方法

开发了新方法,使用精心构建的一组诊断代码、从医院管理数据中选取的罕见病队列以及先进的数据链接技术。结果包括卫生服务利用情况和住院费用。

结果

2010年,存活的队列成员约占西澳大利亚州人口的2.0%。该队列占出院人数的4.6%和出院人次的9.9%,其平均住院时间比普通人群更长。该队列的住院总费用占2010年该州住院医院费用的10.5%。

结论

这项基于人群的队列研究提供了有力的新证据,表明患罕见病的人群比例与其在卫生系统的综合费用之间存在显著差异。该方法将为未来的罕见病研究提供参考,这些证据将指导政府制定管理罕见病患者服务需求的策略。《基因医学》2016年9月22日在线优先发表。

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