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Description of Trends over the Week in Alcohol-Related Ambulance Attendance Data

Alcohol harms are often determined using a proxy measure based on temporal patterns during the week when harms are most likely to occur. This study utilised coded Australian ambulance data from the Victorian arm of the National Ambulance Surveillance System (NASS) to investigate temporal patterns ac...

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Autores principales: Coomber, Kerri, Miller, Peter G., Killian, Jessica J., Ogeil, Rowan P., Beard, Naomi, Lubman, Dan I., Baldwin, Ryan, Smith, Karen, Scott, Debbie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138978/
https://www.ncbi.nlm.nih.gov/pubmed/37107865
http://dx.doi.org/10.3390/ijerph20085583
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author Coomber, Kerri
Miller, Peter G.
Killian, Jessica J.
Ogeil, Rowan P.
Beard, Naomi
Lubman, Dan I.
Baldwin, Ryan
Smith, Karen
Scott, Debbie
author_facet Coomber, Kerri
Miller, Peter G.
Killian, Jessica J.
Ogeil, Rowan P.
Beard, Naomi
Lubman, Dan I.
Baldwin, Ryan
Smith, Karen
Scott, Debbie
author_sort Coomber, Kerri
collection PubMed
description Alcohol harms are often determined using a proxy measure based on temporal patterns during the week when harms are most likely to occur. This study utilised coded Australian ambulance data from the Victorian arm of the National Ambulance Surveillance System (NASS) to investigate temporal patterns across the week for alcohol-related ambulance attendances in 2019. These patterns were examined by season, regionality, gender, and age group. We found clear temporal peaks: from Friday 6:00 p.m. to Saturday 3:59 a.m. for both alcohol-involved and alcohol-intoxication-related attendance, from Saturday 6:00 p.m. to Sunday 4:59 a.m. for alcohol-involved attendances, and from Saturday 5:00 p.m. to Sunday 4:49 a.m. for alcohol-intoxication-related attendances. However, these temporal trends varied across age groups. Additionally, hours during Thursday and Sunday evenings also demonstrated peaks in attendances. There were no substantive differences between genders. Younger age groups (18–24 and 25–29 years) had a peak of alcohol-related attendances from 7:00 p.m. to 7:59 a.m. on Friday and Saturday nights, whereas the peak in attendances for 50–59 and 60+ years was from 5:00 p.m. to 2:59 a.m. on Friday and Saturday nights. These findings further the understanding of the impacts of alcohol during different times throughout the week, which can guide targeted policy responses regarding alcohol use and health service capacity planning.
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spelling pubmed-101389782023-04-28 Description of Trends over the Week in Alcohol-Related Ambulance Attendance Data Coomber, Kerri Miller, Peter G. Killian, Jessica J. Ogeil, Rowan P. Beard, Naomi Lubman, Dan I. Baldwin, Ryan Smith, Karen Scott, Debbie Int J Environ Res Public Health Article Alcohol harms are often determined using a proxy measure based on temporal patterns during the week when harms are most likely to occur. This study utilised coded Australian ambulance data from the Victorian arm of the National Ambulance Surveillance System (NASS) to investigate temporal patterns across the week for alcohol-related ambulance attendances in 2019. These patterns were examined by season, regionality, gender, and age group. We found clear temporal peaks: from Friday 6:00 p.m. to Saturday 3:59 a.m. for both alcohol-involved and alcohol-intoxication-related attendance, from Saturday 6:00 p.m. to Sunday 4:59 a.m. for alcohol-involved attendances, and from Saturday 5:00 p.m. to Sunday 4:49 a.m. for alcohol-intoxication-related attendances. However, these temporal trends varied across age groups. Additionally, hours during Thursday and Sunday evenings also demonstrated peaks in attendances. There were no substantive differences between genders. Younger age groups (18–24 and 25–29 years) had a peak of alcohol-related attendances from 7:00 p.m. to 7:59 a.m. on Friday and Saturday nights, whereas the peak in attendances for 50–59 and 60+ years was from 5:00 p.m. to 2:59 a.m. on Friday and Saturday nights. These findings further the understanding of the impacts of alcohol during different times throughout the week, which can guide targeted policy responses regarding alcohol use and health service capacity planning. MDPI 2023-04-19 /pmc/articles/PMC10138978/ /pubmed/37107865 http://dx.doi.org/10.3390/ijerph20085583 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Coomber, Kerri
Miller, Peter G.
Killian, Jessica J.
Ogeil, Rowan P.
Beard, Naomi
Lubman, Dan I.
Baldwin, Ryan
Smith, Karen
Scott, Debbie
Description of Trends over the Week in Alcohol-Related Ambulance Attendance Data
title Description of Trends over the Week in Alcohol-Related Ambulance Attendance Data
title_full Description of Trends over the Week in Alcohol-Related Ambulance Attendance Data
title_fullStr Description of Trends over the Week in Alcohol-Related Ambulance Attendance Data
title_full_unstemmed Description of Trends over the Week in Alcohol-Related Ambulance Attendance Data
title_short Description of Trends over the Week in Alcohol-Related Ambulance Attendance Data
title_sort description of trends over the week in alcohol-related ambulance attendance data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138978/
https://www.ncbi.nlm.nih.gov/pubmed/37107865
http://dx.doi.org/10.3390/ijerph20085583
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