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

Author

Listed:
  • Kerri Coomber

    (School of Psychology, Deakin University, Geelong, VIC 3220, Australia)

  • Peter G. Miller

    (School of Psychology, Deakin University, Geelong, VIC 3220, Australia)

  • Jessica J. Killian

    (Turning Point, Eastern Health, Richmond, VIC 3121, Australia
    Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Box Hill, VIC 3199, Australia)

  • Rowan P. Ogeil

    (Turning Point, Eastern Health, Richmond, VIC 3121, Australia
    Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Box Hill, VIC 3199, Australia)

  • Naomi Beard

    (Turning Point, Eastern Health, Richmond, VIC 3121, Australia
    Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Box Hill, VIC 3199, Australia)

  • Dan I. Lubman

    (Turning Point, Eastern Health, Richmond, VIC 3121, Australia
    Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Box Hill, VIC 3199, Australia)

  • Ryan Baldwin

    (School of Psychology, Deakin University, Geelong, VIC 3220, Australia)

  • Karen Smith

    (Centre for Research and Evaluation, Ambulance Victoria, Blackburn North, VIC 3130, Australia
    School of Public Health and Preventive Medicine, Melbourne, VIC 3004, Australia
    School of Primary Health Care, Monash University, Frankston, VIC 3199, Australia)

  • Debbie Scott

    (Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Box Hill, VIC 3199, Australia)

Abstract

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.

Suggested Citation

  • Kerri Coomber & Peter G. Miller & Jessica J. Killian & Rowan P. Ogeil & Naomi Beard & Dan I. Lubman & Ryan Baldwin & Karen Smith & Debbie Scott, 2023. "Description of Trends over the Week in Alcohol-Related Ambulance Attendance Data," IJERPH, MDPI, vol. 20(8), pages 1-8, April.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:8:p:5583-:d:1127799
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    References listed on IDEAS

    as
    1. Dan I Lubman & Sharon Matthews & Cherie Heilbronn & Jessica J Killian & Rowan P Ogeil & Belinda Lloyd & Katrina Witt & Rose Crossin & Karen Smith & Emma Bosley & Rosemary Carney & Alex Wilson & Matthe, 2020. "The National Ambulance Surveillance System: A novel method for monitoring acute alcohol, illicit and pharmaceutical drug related-harms using coded Australian ambulance clinical records," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-15, January.
    Full references (including those not matched with items on IDEAS)

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