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National travel distances for emergency care
BACKGROUND: Most emergency department (ED) patients arrive by their own transport and, for various reasons, may not choose the nearest ED. How far patients travel for ED treatment may reflect both patients’ access to care and severity of illness. In this study, we aimed to examine the travel distanc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944092/ https://www.ncbi.nlm.nih.gov/pubmed/35331209 http://dx.doi.org/10.1186/s12913-022-07743-7 |
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author | Tolpadi, Anagha Elliott, Marc N. Waxman, Daniel Becker, Kirsten Flow-Delwiche, Elizabeth Lehrman, William G. Stark, Debra Parast, Layla |
author_facet | Tolpadi, Anagha Elliott, Marc N. Waxman, Daniel Becker, Kirsten Flow-Delwiche, Elizabeth Lehrman, William G. Stark, Debra Parast, Layla |
author_sort | Tolpadi, Anagha |
collection | PubMed |
description | BACKGROUND: Most emergency department (ED) patients arrive by their own transport and, for various reasons, may not choose the nearest ED. How far patients travel for ED treatment may reflect both patients’ access to care and severity of illness. In this study, we aimed to examine the travel distance and travel time between a patient’s home and ED they visited and investigate how these distances/times vary by patient and hospital characteristics. METHODS: We randomly sampled and collected data from 14,812 patients discharged to the community (DTC) between January and March 2016 from 50 hospital-based EDs nationwide. We geocoded and calculated the distance and travel time between patient and hospital-based ED addresses, examined the travel distances/ times between patients’ home and the ED they visited, and used mixed-effects regression models to investigate how these distances/times vary by patient and hospital characteristics. RESULTS: Patients travelled an average of 8.0 (SD = 10.9) miles and 17.3 (SD = 18.0) driving minutes to the ED. Patients travelled significantly farther to avoid EDs in lower performing hospitals (p < 0.01) and in the West (p < 0.05) and Midwest (p < 0.05). Patients travelled farther when visiting EDs in rural areas. Younger patients travelled farther than older patients. CONCLUSIONS: Understanding how far patients are willing to travel is indicative of whether patient populations have adequate access to ED services. By showing that patients travel farther to avoid a low-performing hospital, we provide evidence that DTC patients likely do exercise some choice among EDs, indicating some market incentives for higher-quality care, even for some ED admissions. Understanding these issues will help policymakers better define access to ED care and assist in directing quality improvement efforts. To our knowledge, our study is the most comprehensive nationwide characterization of patient travel for ED treatment to date. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-07743-7. |
format | Online Article Text |
id | pubmed-8944092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89440922022-03-25 National travel distances for emergency care Tolpadi, Anagha Elliott, Marc N. Waxman, Daniel Becker, Kirsten Flow-Delwiche, Elizabeth Lehrman, William G. Stark, Debra Parast, Layla BMC Health Serv Res Research BACKGROUND: Most emergency department (ED) patients arrive by their own transport and, for various reasons, may not choose the nearest ED. How far patients travel for ED treatment may reflect both patients’ access to care and severity of illness. In this study, we aimed to examine the travel distance and travel time between a patient’s home and ED they visited and investigate how these distances/times vary by patient and hospital characteristics. METHODS: We randomly sampled and collected data from 14,812 patients discharged to the community (DTC) between January and March 2016 from 50 hospital-based EDs nationwide. We geocoded and calculated the distance and travel time between patient and hospital-based ED addresses, examined the travel distances/ times between patients’ home and the ED they visited, and used mixed-effects regression models to investigate how these distances/times vary by patient and hospital characteristics. RESULTS: Patients travelled an average of 8.0 (SD = 10.9) miles and 17.3 (SD = 18.0) driving minutes to the ED. Patients travelled significantly farther to avoid EDs in lower performing hospitals (p < 0.01) and in the West (p < 0.05) and Midwest (p < 0.05). Patients travelled farther when visiting EDs in rural areas. Younger patients travelled farther than older patients. CONCLUSIONS: Understanding how far patients are willing to travel is indicative of whether patient populations have adequate access to ED services. By showing that patients travel farther to avoid a low-performing hospital, we provide evidence that DTC patients likely do exercise some choice among EDs, indicating some market incentives for higher-quality care, even for some ED admissions. Understanding these issues will help policymakers better define access to ED care and assist in directing quality improvement efforts. To our knowledge, our study is the most comprehensive nationwide characterization of patient travel for ED treatment to date. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-07743-7. BioMed Central 2022-03-24 /pmc/articles/PMC8944092/ /pubmed/35331209 http://dx.doi.org/10.1186/s12913-022-07743-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Tolpadi, Anagha Elliott, Marc N. Waxman, Daniel Becker, Kirsten Flow-Delwiche, Elizabeth Lehrman, William G. Stark, Debra Parast, Layla National travel distances for emergency care |
title | National travel distances for emergency care |
title_full | National travel distances for emergency care |
title_fullStr | National travel distances for emergency care |
title_full_unstemmed | National travel distances for emergency care |
title_short | National travel distances for emergency care |
title_sort | national travel distances for emergency care |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944092/ https://www.ncbi.nlm.nih.gov/pubmed/35331209 http://dx.doi.org/10.1186/s12913-022-07743-7 |
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