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Asthma hospitalisation trends from 2010 to 2015: variation among rural and metropolitan Australians

BACKGROUND: Asthma remains a leading cause of illness, where primary care can assist to reduce hospitalisations through prevention, controlling acute episodes, and overall management of asthma. In Victoria, Asthma hospitalisations were as high as 3.1 hospitalisations per 1000 population in 1993–94....

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Autores principales: Terry, Daniel, Robins, Shalley, Gardiner, Samantha, Wyett, Ruby, Islam, Md Rafiqul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5604153/
https://www.ncbi.nlm.nih.gov/pubmed/28923037
http://dx.doi.org/10.1186/s12889-017-4704-y
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author Terry, Daniel
Robins, Shalley
Gardiner, Samantha
Wyett, Ruby
Islam, Md Rafiqul
author_facet Terry, Daniel
Robins, Shalley
Gardiner, Samantha
Wyett, Ruby
Islam, Md Rafiqul
author_sort Terry, Daniel
collection PubMed
description BACKGROUND: Asthma remains a leading cause of illness, where primary care can assist to reduce hospitalisations through prevention, controlling acute episodes, and overall management of asthma. In Victoria, Asthma hospitalisations were as high as 3.1 hospitalisations per 1000 population in 1993–94. The primary aims of this study are to: determine if changes in asthma hospitalisations have occurred between 2010 and 2015; determine the key factors that impact asthma hospitalisation over time; and verify whether rural and urban asthma hospitalisations are disparate. A secondary aim of the study is to compare 2010–2015 results with asthma data prior to 2010. METHODS: Hospital separation data from 1 July 2010 to 30 June 2015 were obtained through the Victorian Admitted Episodes Dataset and other agencies. Data included sex, age, Local Government Area, private or public patient, length of stay, and type of discharge. Asthma and predictor variables were analysed according to hospital separation rates after adjusting for smoking and sex. Hierarchical multiple regression examined the association between asthma and predictor variables. RESULTS: During the study period, 49,529 asthma hospital separations occurred, of which 77.5% were in metropolitan hospitals, 55.4% hospital separations were aged 0–14 years, and 21.7% were privately funded. State-wide hospital separations were 1.85 per 1000 population and were consistently higher in metropolitan compared to rural areas (1.93 vs 1.64 per 1000 population). When data among metropolitan adults aged 15 and over were analysed, an increase in the proportion of smokers in the population was reflected by an increase in the number of hospital separations (Adj OR 1.035). Further, among rural and metropolitan children aged 0–14 the only predictor of asthma hospital separations was sex, where metropolitan male children had higher odds of separation than metropolitan females of the same age (Adj OR 4.297). There was no statistically meaningful difference for separation rates between males and females in rural areas. CONCLUSIONS: We demonstrated a higher overall hospital separation rate in metropolitan Victoria. For children in metropolitan areas, males were hospitalised at higher rates than females, while the inverse was demonstrated for children residing in rural areas. Therefore, optimising asthma management requires consideration of the patient’s age, gender and residential context. Primary health care may play a leading role in increasing health literacy for patients in order to improve self-management and health-seeking behaviour.
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spelling pubmed-56041532017-09-21 Asthma hospitalisation trends from 2010 to 2015: variation among rural and metropolitan Australians Terry, Daniel Robins, Shalley Gardiner, Samantha Wyett, Ruby Islam, Md Rafiqul BMC Public Health Research Article BACKGROUND: Asthma remains a leading cause of illness, where primary care can assist to reduce hospitalisations through prevention, controlling acute episodes, and overall management of asthma. In Victoria, Asthma hospitalisations were as high as 3.1 hospitalisations per 1000 population in 1993–94. The primary aims of this study are to: determine if changes in asthma hospitalisations have occurred between 2010 and 2015; determine the key factors that impact asthma hospitalisation over time; and verify whether rural and urban asthma hospitalisations are disparate. A secondary aim of the study is to compare 2010–2015 results with asthma data prior to 2010. METHODS: Hospital separation data from 1 July 2010 to 30 June 2015 were obtained through the Victorian Admitted Episodes Dataset and other agencies. Data included sex, age, Local Government Area, private or public patient, length of stay, and type of discharge. Asthma and predictor variables were analysed according to hospital separation rates after adjusting for smoking and sex. Hierarchical multiple regression examined the association between asthma and predictor variables. RESULTS: During the study period, 49,529 asthma hospital separations occurred, of which 77.5% were in metropolitan hospitals, 55.4% hospital separations were aged 0–14 years, and 21.7% were privately funded. State-wide hospital separations were 1.85 per 1000 population and were consistently higher in metropolitan compared to rural areas (1.93 vs 1.64 per 1000 population). When data among metropolitan adults aged 15 and over were analysed, an increase in the proportion of smokers in the population was reflected by an increase in the number of hospital separations (Adj OR 1.035). Further, among rural and metropolitan children aged 0–14 the only predictor of asthma hospital separations was sex, where metropolitan male children had higher odds of separation than metropolitan females of the same age (Adj OR 4.297). There was no statistically meaningful difference for separation rates between males and females in rural areas. CONCLUSIONS: We demonstrated a higher overall hospital separation rate in metropolitan Victoria. For children in metropolitan areas, males were hospitalised at higher rates than females, while the inverse was demonstrated for children residing in rural areas. Therefore, optimising asthma management requires consideration of the patient’s age, gender and residential context. Primary health care may play a leading role in increasing health literacy for patients in order to improve self-management and health-seeking behaviour. BioMed Central 2017-09-18 /pmc/articles/PMC5604153/ /pubmed/28923037 http://dx.doi.org/10.1186/s12889-017-4704-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Terry, Daniel
Robins, Shalley
Gardiner, Samantha
Wyett, Ruby
Islam, Md Rafiqul
Asthma hospitalisation trends from 2010 to 2015: variation among rural and metropolitan Australians
title Asthma hospitalisation trends from 2010 to 2015: variation among rural and metropolitan Australians
title_full Asthma hospitalisation trends from 2010 to 2015: variation among rural and metropolitan Australians
title_fullStr Asthma hospitalisation trends from 2010 to 2015: variation among rural and metropolitan Australians
title_full_unstemmed Asthma hospitalisation trends from 2010 to 2015: variation among rural and metropolitan Australians
title_short Asthma hospitalisation trends from 2010 to 2015: variation among rural and metropolitan Australians
title_sort asthma hospitalisation trends from 2010 to 2015: variation among rural and metropolitan australians
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5604153/
https://www.ncbi.nlm.nih.gov/pubmed/28923037
http://dx.doi.org/10.1186/s12889-017-4704-y
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