Understanding a population: A methodology for a population-based coastal safety survey.

Drowning is a global public health problem, but accurately estimating drowning risk remains a challenge. Coastal drowning comprises a significant proportion of the drowning burden in Australia and is influenced by a range of behavioural factors (e.g. risk perception, knowledge, attitudes and behavio...

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Autores principales:	Jasmin C Lawes, Lea Uebelhoer, William Koon, Luke Strasiotto, Frederic Anne, Shane Daw, Robert W Brander, Nick Mulcahy, Amy E Peden
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a1b31183b7ff4ce0849df0d8eab4de2c
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spelling	oai:doaj.org-article:a1b31183b7ff4ce0849df0d8eab4de2c2021-12-02T20:18:06ZUnderstanding a population: A methodology for a population-based coastal safety survey.1932-620310.1371/journal.pone.0256202https://doaj.org/article/a1b31183b7ff4ce0849df0d8eab4de2c2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256202https://doaj.org/toc/1932-6203Drowning is a global public health problem, but accurately estimating drowning risk remains a challenge. Coastal drowning comprises a significant proportion of the drowning burden in Australia and is influenced by a range of behavioural factors (e.g. risk perception, knowledge, attitudes and behaviours) that are poorly understood. These factors, along with those that impact exposure (e.g. coastal visitation and activity participation) all impact on drowning risk. While excellent mortality and morbidity data exists in Australia, a lack of coastal participation data presents challenges to identifying high-risk groups or activities and prioritising prevention efforts. This methods paper describes the development and evolution of an ongoing, annual, nationally representative online survey as an effective tool used to capture valuable data about the Australian population's relationship with the coast. This paper explores how the survey is structured (12-14 sections spanning multiple topics and themes), the different question types used (including open text, 4-digit responses and categorical questions), the sample size (1400-1600 respondents), sampling strategy (using demographic quota sampling which can then be post-weighted to the population if required) and how topics and themes have changed over time to enhance the quality of data collected (i.e., wording changes to enhance participant comprehension or data usability and changing issue-specific 'feature' topics of interest such as campaign evaluation). How the survey is implemented online is described, both practically through to third-party recruitment processes and ethically to maximise anonymity of respondents and ensure data quality. Interim analyses indicate the impact of considering exposure when calculating fatal drowning rates, especially by activity (e.g., crude boating drowning rate 0.12 per 100,000 population vs 0.95 per 100,000 exposed population [relative risk = 8.01; 95% confidence interval: 4.55-14.10]). This study highlights lessons learned in the process of conducting a nationally representative coastal participation survey as well as the strengths and limitations of adopting this approach. Data collected will provide more detailed information on the skills, behaviours, knowledge and attitudes of coastal activity participants. Analyses of this unique dataset will inform research that will underpin development and evaluation of coastal drowning prevention initiatives prioritising those most at risk. It is hoped that the methods detailed within this study may be useful for other countries to develop similar approaches to understanding their own population.Jasmin C LawesLea UebelhoerWilliam KoonLuke StrasiottoFrederic AnneShane DawRobert W BranderNick MulcahyAmy E PedenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0256202 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jasmin C Lawes Lea Uebelhoer William Koon Luke Strasiotto Frederic Anne Shane Daw Robert W Brander Nick Mulcahy Amy E Peden Understanding a population: A methodology for a population-based coastal safety survey.
description	Drowning is a global public health problem, but accurately estimating drowning risk remains a challenge. Coastal drowning comprises a significant proportion of the drowning burden in Australia and is influenced by a range of behavioural factors (e.g. risk perception, knowledge, attitudes and behaviours) that are poorly understood. These factors, along with those that impact exposure (e.g. coastal visitation and activity participation) all impact on drowning risk. While excellent mortality and morbidity data exists in Australia, a lack of coastal participation data presents challenges to identifying high-risk groups or activities and prioritising prevention efforts. This methods paper describes the development and evolution of an ongoing, annual, nationally representative online survey as an effective tool used to capture valuable data about the Australian population's relationship with the coast. This paper explores how the survey is structured (12-14 sections spanning multiple topics and themes), the different question types used (including open text, 4-digit responses and categorical questions), the sample size (1400-1600 respondents), sampling strategy (using demographic quota sampling which can then be post-weighted to the population if required) and how topics and themes have changed over time to enhance the quality of data collected (i.e., wording changes to enhance participant comprehension or data usability and changing issue-specific 'feature' topics of interest such as campaign evaluation). How the survey is implemented online is described, both practically through to third-party recruitment processes and ethically to maximise anonymity of respondents and ensure data quality. Interim analyses indicate the impact of considering exposure when calculating fatal drowning rates, especially by activity (e.g., crude boating drowning rate 0.12 per 100,000 population vs 0.95 per 100,000 exposed population [relative risk = 8.01; 95% confidence interval: 4.55-14.10]). This study highlights lessons learned in the process of conducting a nationally representative coastal participation survey as well as the strengths and limitations of adopting this approach. Data collected will provide more detailed information on the skills, behaviours, knowledge and attitudes of coastal activity participants. Analyses of this unique dataset will inform research that will underpin development and evaluation of coastal drowning prevention initiatives prioritising those most at risk. It is hoped that the methods detailed within this study may be useful for other countries to develop similar approaches to understanding their own population.
format	article
author	Jasmin C Lawes Lea Uebelhoer William Koon Luke Strasiotto Frederic Anne Shane Daw Robert W Brander Nick Mulcahy Amy E Peden
author_facet	Jasmin C Lawes Lea Uebelhoer William Koon Luke Strasiotto Frederic Anne Shane Daw Robert W Brander Nick Mulcahy Amy E Peden
author_sort	Jasmin C Lawes
title	Understanding a population: A methodology for a population-based coastal safety survey.
title_short	Understanding a population: A methodology for a population-based coastal safety survey.
title_full	Understanding a population: A methodology for a population-based coastal safety survey.
title_fullStr	Understanding a population: A methodology for a population-based coastal safety survey.
title_full_unstemmed	Understanding a population: A methodology for a population-based coastal safety survey.
title_sort	understanding a population: a methodology for a population-based coastal safety survey.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/a1b31183b7ff4ce0849df0d8eab4de2c
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Understanding a population: A methodology for a population-based coastal safety survey.

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