Prevalence and predictors of disability 24-months after injury for hospitalised and non-hospitalised participants: results from a longitudinal cohort study in New Zealand.

<h4>Introduction</h4>Most studies investigating disability outcomes following injury have examined hospitalised patients. It is not known whether variables associated with disability outcomes are similar for injured people who are not hospitalised.<h4>Aims</h4>This paper comp...

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Autores principales:	Sarah Derrett, Suzanne Wilson, Ari Samaranayaka, John Langley, Emma Wyeth, Shanthi Ameratunga, Rebbecca Lilley, Gabrielle Davie, Melbourne Mauiliu
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2e4c9f20e19847bdb9a9a86238bb17cb
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spelling	oai:doaj.org-article:2e4c9f20e19847bdb9a9a86238bb17cb2021-11-18T08:45:14ZPrevalence and predictors of disability 24-months after injury for hospitalised and non-hospitalised participants: results from a longitudinal cohort study in New Zealand.1932-620310.1371/journal.pone.0080194https://doaj.org/article/2e4c9f20e19847bdb9a9a86238bb17cb2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24278258/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Introduction</h4>Most studies investigating disability outcomes following injury have examined hospitalised patients. It is not known whether variables associated with disability outcomes are similar for injured people who are not hospitalised.<h4>Aims</h4>This paper compares the prevalence of disability 24 months after injury for participants in the Prospective Outcomes of Injury Study who were hospitalised and those non-hospitalised, and also seeks to identify pre-injury and injury-related predictors of disability among hospitalised and non-hospitalised participants.<h4>Methods</h4>Participants, aged 18-64 years, were recruited from an injury claims register managed by New Zealand's no-fault injury compensation insurer after referral by health care professionals. A wide range of pre-injury socio-demographic, health and psychosocial characteristics were collected, as well as injury-related characteristics; outcome is assessed using the WHODAS. Multivariable models estimating relative risks of disability for hospitalised and non-hospitalised participants were developed using Poisson regression methods.<h4>Results</h4>Of 2856 participants, analyses were restricted to 2184 (76%) participants for whom both pre-injury and 24 month WHODAS data were available. Of these, 25% were hospitalised. In both hospitalised and non-hospitalised groups, 13% experience disability (WHODAS≥10) 24 months after injury; higher than pre-injury (5%). Of 28 predictor variables, seven independently placed injured participants in the hospitalised group at increased risk of disability 24 months after injury; eight in the non-hospitalised. Only four predictors (pre-injury disability, two or more pre-injury chronic conditions, pre-injury BMI≥30 and trouble accessing healthcare services) were common to both the hospitalised and non-hospitalised groups. There is some evidence to suggest that among the hospitalised group, Māori have higher risk of disability relative to non-Māori.<h4>Conclusions</h4>At 24 months considerable disability is borne, equally, by hospitalised and non-hospitalised groups. However, predictors of disability are not necessarily consistent between the hospitalised and non-hospitalised groups, suggesting caution in generalising results from one group to the other.Sarah DerrettSuzanne WilsonAri SamaranayakaJohn LangleyEmma WyethShanthi AmeratungaRebbecca LilleyGabrielle DavieMelbourne MauiliuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 11, p e80194 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sarah Derrett Suzanne Wilson Ari Samaranayaka John Langley Emma Wyeth Shanthi Ameratunga Rebbecca Lilley Gabrielle Davie Melbourne Mauiliu Prevalence and predictors of disability 24-months after injury for hospitalised and non-hospitalised participants: results from a longitudinal cohort study in New Zealand.
description	<h4>Introduction</h4>Most studies investigating disability outcomes following injury have examined hospitalised patients. It is not known whether variables associated with disability outcomes are similar for injured people who are not hospitalised.<h4>Aims</h4>This paper compares the prevalence of disability 24 months after injury for participants in the Prospective Outcomes of Injury Study who were hospitalised and those non-hospitalised, and also seeks to identify pre-injury and injury-related predictors of disability among hospitalised and non-hospitalised participants.<h4>Methods</h4>Participants, aged 18-64 years, were recruited from an injury claims register managed by New Zealand's no-fault injury compensation insurer after referral by health care professionals. A wide range of pre-injury socio-demographic, health and psychosocial characteristics were collected, as well as injury-related characteristics; outcome is assessed using the WHODAS. Multivariable models estimating relative risks of disability for hospitalised and non-hospitalised participants were developed using Poisson regression methods.<h4>Results</h4>Of 2856 participants, analyses were restricted to 2184 (76%) participants for whom both pre-injury and 24 month WHODAS data were available. Of these, 25% were hospitalised. In both hospitalised and non-hospitalised groups, 13% experience disability (WHODAS≥10) 24 months after injury; higher than pre-injury (5%). Of 28 predictor variables, seven independently placed injured participants in the hospitalised group at increased risk of disability 24 months after injury; eight in the non-hospitalised. Only four predictors (pre-injury disability, two or more pre-injury chronic conditions, pre-injury BMI≥30 and trouble accessing healthcare services) were common to both the hospitalised and non-hospitalised groups. There is some evidence to suggest that among the hospitalised group, Māori have higher risk of disability relative to non-Māori.<h4>Conclusions</h4>At 24 months considerable disability is borne, equally, by hospitalised and non-hospitalised groups. However, predictors of disability are not necessarily consistent between the hospitalised and non-hospitalised groups, suggesting caution in generalising results from one group to the other.
format	article
author	Sarah Derrett Suzanne Wilson Ari Samaranayaka John Langley Emma Wyeth Shanthi Ameratunga Rebbecca Lilley Gabrielle Davie Melbourne Mauiliu
author_facet	Sarah Derrett Suzanne Wilson Ari Samaranayaka John Langley Emma Wyeth Shanthi Ameratunga Rebbecca Lilley Gabrielle Davie Melbourne Mauiliu
author_sort	Sarah Derrett
title	Prevalence and predictors of disability 24-months after injury for hospitalised and non-hospitalised participants: results from a longitudinal cohort study in New Zealand.
title_short	Prevalence and predictors of disability 24-months after injury for hospitalised and non-hospitalised participants: results from a longitudinal cohort study in New Zealand.
title_full	Prevalence and predictors of disability 24-months after injury for hospitalised and non-hospitalised participants: results from a longitudinal cohort study in New Zealand.
title_fullStr	Prevalence and predictors of disability 24-months after injury for hospitalised and non-hospitalised participants: results from a longitudinal cohort study in New Zealand.
title_full_unstemmed	Prevalence and predictors of disability 24-months after injury for hospitalised and non-hospitalised participants: results from a longitudinal cohort study in New Zealand.
title_sort	prevalence and predictors of disability 24-months after injury for hospitalised and non-hospitalised participants: results from a longitudinal cohort study in new zealand.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/2e4c9f20e19847bdb9a9a86238bb17cb
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Prevalence and predictors of disability 24-months after injury for hospitalised and non-hospitalised participants: results from a longitudinal cohort study in New Zealand.

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