Using geographic information systems to map older people’s emergency department attendance for future health planning

E. O'Mahony, Éidín Ní Shé, Jade Bailey, H. Mannan, E. McAuliffe, J. Ryan, J. Cronin, M. Cooney
{"title":"Using geographic information systems to map older people’s emergency department attendance for future health planning","authors":"E. O'Mahony, Éidín Ní Shé, Jade Bailey, H. Mannan, E. McAuliffe, J. Ryan, J. Cronin, M. Cooney","doi":"10.1136/emermed-2018-207952","DOIUrl":null,"url":null,"abstract":"Objectives This study aimed to assess the pattern of use of EDs, factors contributing to the visits, geographical distribution and outcomes in people aged 65 years or older to a large hospital in Dublin. Methods A retrospective analysis of 2 years of data from an urban university teaching hospital ED in the southern part of Dublin was reviewed for the period 2014–2015 (n=103 022) to capture the records of attenders. All ED presentations by individuals 65 years and older were extracted for analysis. Address-matched records were analysed using QGIS, a geographic information systems (GIS) analysis and visualisation tool to determine straight-line distances travelled to the ED by age. Results Of the 49 538 non-duplicate presentations in the main database, 49.9% of the total are women and 49.1% are men. A subset comprised of 40 801 had address-matched records. When mapped, the data showed a distinct clustering of addresses around the hospital site but this clustering shows different patterns based on age cohort. Average distances travelled to ED are shorter for people 65 and older compared with younger patients. Average distances travelled for those aged 65–74 was 21 km (n=4177 presentations); for the age group 75–84, 18 km (n=2518 presentations) and 13 km for those aged 85 and older (n=2104 presentations). This is validated by statistical tests on the clustered data. Self-referral rates of about 60% were recorded for each age group, although this varied slightly, not significantly, with age. Conclusions Health planning at a regional level should account for the significant number of older patients attending EDs. The use of GIS for health planning in particular can assist hospitals to improve their understanding of the origin of the cohort of older ED patients.","PeriodicalId":410922,"journal":{"name":"Emergency medicine journal : EMJ","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Emergency medicine journal : EMJ","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/emermed-2018-207952","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Objectives This study aimed to assess the pattern of use of EDs, factors contributing to the visits, geographical distribution and outcomes in people aged 65 years or older to a large hospital in Dublin. Methods A retrospective analysis of 2 years of data from an urban university teaching hospital ED in the southern part of Dublin was reviewed for the period 2014–2015 (n=103 022) to capture the records of attenders. All ED presentations by individuals 65 years and older were extracted for analysis. Address-matched records were analysed using QGIS, a geographic information systems (GIS) analysis and visualisation tool to determine straight-line distances travelled to the ED by age. Results Of the 49 538 non-duplicate presentations in the main database, 49.9% of the total are women and 49.1% are men. A subset comprised of 40 801 had address-matched records. When mapped, the data showed a distinct clustering of addresses around the hospital site but this clustering shows different patterns based on age cohort. Average distances travelled to ED are shorter for people 65 and older compared with younger patients. Average distances travelled for those aged 65–74 was 21 km (n=4177 presentations); for the age group 75–84, 18 km (n=2518 presentations) and 13 km for those aged 85 and older (n=2104 presentations). This is validated by statistical tests on the clustered data. Self-referral rates of about 60% were recorded for each age group, although this varied slightly, not significantly, with age. Conclusions Health planning at a regional level should account for the significant number of older patients attending EDs. The use of GIS for health planning in particular can assist hospitals to improve their understanding of the origin of the cohort of older ED patients.
利用地理信息系统绘制老年人急诊科就诊情况,为未来的健康规划做准备
本研究旨在评估都柏林一家大型医院65岁及以上老年人急诊科的使用模式、影响就诊的因素、地理分布和结果。方法回顾性分析都柏林南部一所城市大学教学医院2014-2015年(n=103 022) 2年的急诊科资料,以获取就诊记录。所有65岁及以上患者的ED报告被提取出来进行分析。使用地理信息系统(GIS)分析和可视化工具QGIS分析地址匹配记录,以确定按年龄前往ED的直线距离。结果主数据库中49538例非重复病例中,女性占49.9%,男性占49.1%。由40801组成的子集具有地址匹配的记录。当绘制地图时,数据显示了医院周围地址的明显聚类,但这种聚类显示了基于年龄队列的不同模式。与年轻患者相比,65岁及以上的患者到急诊科的平均路程更短。65-74岁人群的平均旅行距离为21公里(n=4177);75-84岁年龄组为18公里(n=2518次),85岁及以上年龄组为13公里(n=2104次)。通过对聚类数据的统计测试验证了这一点。每个年龄组的自我转诊率约为60%,尽管随着年龄的增长,这种情况略有不同,但并不显著。结论:区域层面的卫生规划应考虑到急诊科老年患者的显著数量。GIS在健康规划中的应用尤其可以帮助医院更好地了解老年急诊科患者的来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信