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Predictors of ambulance transport to first health facility among injured patients in southern Sri Lanka

BACKGROUND: Injuries account for about 13% of all registered deaths in Sri Lanka and are the leading cause of admission to public hospitals. Prehospital trauma care is new to Sri Lanka, and in 2016, a free ambulance service was launched in the Western and Southern provinces. OBJECTIVE: The aim of th...

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Autores principales: Reynolds, Lindy M., De Silva, Vijitha, Clancy, Shayna, Joiner, Anjni, Staton, Catherine A., Østbye, Truls
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232418/
https://www.ncbi.nlm.nih.gov/pubmed/34170960
http://dx.doi.org/10.1371/journal.pone.0253410
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author Reynolds, Lindy M.
De Silva, Vijitha
Clancy, Shayna
Joiner, Anjni
Staton, Catherine A.
Østbye, Truls
author_facet Reynolds, Lindy M.
De Silva, Vijitha
Clancy, Shayna
Joiner, Anjni
Staton, Catherine A.
Østbye, Truls
author_sort Reynolds, Lindy M.
collection PubMed
description BACKGROUND: Injuries account for about 13% of all registered deaths in Sri Lanka and are the leading cause of admission to public hospitals. Prehospital trauma care is new to Sri Lanka, and in 2016, a free ambulance service was launched in the Western and Southern provinces. OBJECTIVE: The aim of this study was to identify the proportion of admitted injury patients at a tertiary hospital who used an ambulance to get to the first health facility and examine patient demographics, injury event, and injury type as predictors of ambulance transport. METHODS: A cross-sectional survey was administered to 405 patients who were admitted to the emergency trauma center at Teaching Hospital Karapitiya (THK) in Galle, Sri Lanka. Descriptive statistics were tabulated to summarize prehospital transportation variables. Logistic regression models were created to examine predictors of ambulance transport, and ArcGIS Pro was used to calculate the distance between injury location and first facility and THK. RESULTS: The proportion of patients with injuries who used an ambulance to get to the first health facility was 20.5%. Factors that were significantly associated with ambulance use were older age, injury mechanism, alcohol use prior to injury, location type, open wound, abrasion, and chest/abdomen injury. Distance from injury location to THK or nearest health facility were not significantly associated with ambulance transport to the first health facility. CONCLUSION: Among lower acuity injury patients in southern Sri Lanka, 20.5% traveled in an ambulance to the first health facility, while over half used a tuk tuk. Older age and injuries at home were associated with lower odds of ambulance transport. Future studies on predictors of ambulance transport should include patients with more severe injuries, gather detailed data on care provided while in transport and examine the association between prehospital care and clinical outcomes.
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spelling pubmed-82324182021-07-07 Predictors of ambulance transport to first health facility among injured patients in southern Sri Lanka Reynolds, Lindy M. De Silva, Vijitha Clancy, Shayna Joiner, Anjni Staton, Catherine A. Østbye, Truls PLoS One Research Article BACKGROUND: Injuries account for about 13% of all registered deaths in Sri Lanka and are the leading cause of admission to public hospitals. Prehospital trauma care is new to Sri Lanka, and in 2016, a free ambulance service was launched in the Western and Southern provinces. OBJECTIVE: The aim of this study was to identify the proportion of admitted injury patients at a tertiary hospital who used an ambulance to get to the first health facility and examine patient demographics, injury event, and injury type as predictors of ambulance transport. METHODS: A cross-sectional survey was administered to 405 patients who were admitted to the emergency trauma center at Teaching Hospital Karapitiya (THK) in Galle, Sri Lanka. Descriptive statistics were tabulated to summarize prehospital transportation variables. Logistic regression models were created to examine predictors of ambulance transport, and ArcGIS Pro was used to calculate the distance between injury location and first facility and THK. RESULTS: The proportion of patients with injuries who used an ambulance to get to the first health facility was 20.5%. Factors that were significantly associated with ambulance use were older age, injury mechanism, alcohol use prior to injury, location type, open wound, abrasion, and chest/abdomen injury. Distance from injury location to THK or nearest health facility were not significantly associated with ambulance transport to the first health facility. CONCLUSION: Among lower acuity injury patients in southern Sri Lanka, 20.5% traveled in an ambulance to the first health facility, while over half used a tuk tuk. Older age and injuries at home were associated with lower odds of ambulance transport. Future studies on predictors of ambulance transport should include patients with more severe injuries, gather detailed data on care provided while in transport and examine the association between prehospital care and clinical outcomes. Public Library of Science 2021-06-25 /pmc/articles/PMC8232418/ /pubmed/34170960 http://dx.doi.org/10.1371/journal.pone.0253410 Text en © 2021 Reynolds et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Reynolds, Lindy M.
De Silva, Vijitha
Clancy, Shayna
Joiner, Anjni
Staton, Catherine A.
Østbye, Truls
Predictors of ambulance transport to first health facility among injured patients in southern Sri Lanka
title Predictors of ambulance transport to first health facility among injured patients in southern Sri Lanka
title_full Predictors of ambulance transport to first health facility among injured patients in southern Sri Lanka
title_fullStr Predictors of ambulance transport to first health facility among injured patients in southern Sri Lanka
title_full_unstemmed Predictors of ambulance transport to first health facility among injured patients in southern Sri Lanka
title_short Predictors of ambulance transport to first health facility among injured patients in southern Sri Lanka
title_sort predictors of ambulance transport to first health facility among injured patients in southern sri lanka
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232418/
https://www.ncbi.nlm.nih.gov/pubmed/34170960
http://dx.doi.org/10.1371/journal.pone.0253410
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