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Using geographic information systems to map older people’s emergency department attendance for future health planning
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900225/ https://www.ncbi.nlm.nih.gov/pubmed/31678931 http://dx.doi.org/10.1136/emermed-2018-207952 |
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author | O'Mahony, Eoin Ní Shé, Éidín Bailey, Jade Mannan, Hasheem McAuliffe, Eilish Ryan, John Cronin, John Cooney, Marie Therese |
author_facet | O'Mahony, Eoin Ní Shé, Éidín Bailey, Jade Mannan, Hasheem McAuliffe, Eilish Ryan, John Cronin, John Cooney, Marie Therese |
author_sort | O'Mahony, Eoin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6900225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-69002252019-12-23 Using geographic information systems to map older people’s emergency department attendance for future health planning O'Mahony, Eoin Ní Shé, Éidín Bailey, Jade Mannan, Hasheem McAuliffe, Eilish Ryan, John Cronin, John Cooney, Marie Therese Emerg Med J Original Article 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. BMJ Publishing Group 2019-12 2019-11-02 /pmc/articles/PMC6900225/ /pubmed/31678931 http://dx.doi.org/10.1136/emermed-2018-207952 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Original Article O'Mahony, Eoin Ní Shé, Éidín Bailey, Jade Mannan, Hasheem McAuliffe, Eilish Ryan, John Cronin, John Cooney, Marie Therese Using geographic information systems to map older people’s emergency department attendance for future health planning |
title | Using geographic information systems to map older people’s emergency department attendance for future health planning |
title_full | Using geographic information systems to map older people’s emergency department attendance for future health planning |
title_fullStr | Using geographic information systems to map older people’s emergency department attendance for future health planning |
title_full_unstemmed | Using geographic information systems to map older people’s emergency department attendance for future health planning |
title_short | Using geographic information systems to map older people’s emergency department attendance for future health planning |
title_sort | using geographic information systems to map older people’s emergency department attendance for future health planning |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900225/ https://www.ncbi.nlm.nih.gov/pubmed/31678931 http://dx.doi.org/10.1136/emermed-2018-207952 |
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