An Australian study of long-term hospital admissions and costs comparing patients with unintentional burns and uninjured people

Sean M. Randall, Fiona M. Wood, Suzanne Rea, James H. Boyd, Janine M. Duke

Research output: Contribution to journalArticle

Abstract

Background: The objective of this study was to describe and quantify the long-term hospital service use (HSU) after burn injury and associated costs in a population-based cohort of patients with unintentional burns and compare with uninjured people. Methods: This retrospective population-based cohort study analysed de-identified linked health administrative data of all unintentional burns patients (n = 10,460) between 2000 and 2012 in Western Australia and a matched uninjured comparison cohort (n = 42,856). HSU after burn injury (annual admission counts and cumulative length of stay) was examined. HSU costs were based on the Australian Refined Diagnosis Related Groups (AR-DRGs) code on each record. Generalised linear models were used to examine and quantify associations between burn injury and long-term HSU and associated costs. Results: There were 48,728 hospitalisations after burn occurring within the study period in the burn cohort; in the uninjured comparison cohort, there were 53,244 post-study index hospitalisations. Of those in the burn cohort, 63.9% (n = 6828) had a further hospitalisation after burn injury; this compared with 40.4% (n = 17,297) in the uninjured cohort. After adjustment for socio-demographic and pre-existing health conditions the burn cohort had 2.48 times the hospitalisation rate compared to the uninjured cohort (95% CI: 2.33–2.65). The cost of post-index hospitalisations in the burn cohort totalled to $AUS248.3 million vs $AUS240.8 million in the uninjured cohort. After adjustment, the burn cohort had hospital costs 2.77 times higher than the uninjured controls (95% CI: 2.58–2.98). Conclusions: After adjustment for covariates, burn patients experienced greater hospital use for a prolonged period after the initial injury compared with uninjured people. The mean cost per episode of care was generally higher for members of the burn cohort compared to the uninjured cohort indicating either more complicated admissions or admissions for more expensive conditions.

Original languageEnglish
JournalBurns
DOIs
Publication statusE-pub ahead of print - 16 Dec 2019

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Hospital Costs
Burns
Hospitalization
Costs and Cost Analysis
Wounds and Injuries
Episode of Care
Western Australia
Preexisting Condition Coverage
Diagnosis-Related Groups
Health
Population
Linear Models
Length of Stay
Cohort Studies
Demography

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@article{2e79497dc51e477f86d5df2507f72dfe,
title = "An Australian study of long-term hospital admissions and costs comparing patients with unintentional burns and uninjured people",
abstract = "Background: The objective of this study was to describe and quantify the long-term hospital service use (HSU) after burn injury and associated costs in a population-based cohort of patients with unintentional burns and compare with uninjured people. Methods: This retrospective population-based cohort study analysed de-identified linked health administrative data of all unintentional burns patients (n = 10,460) between 2000 and 2012 in Western Australia and a matched uninjured comparison cohort (n = 42,856). HSU after burn injury (annual admission counts and cumulative length of stay) was examined. HSU costs were based on the Australian Refined Diagnosis Related Groups (AR-DRGs) code on each record. Generalised linear models were used to examine and quantify associations between burn injury and long-term HSU and associated costs. Results: There were 48,728 hospitalisations after burn occurring within the study period in the burn cohort; in the uninjured comparison cohort, there were 53,244 post-study index hospitalisations. Of those in the burn cohort, 63.9{\%} (n = 6828) had a further hospitalisation after burn injury; this compared with 40.4{\%} (n = 17,297) in the uninjured cohort. After adjustment for socio-demographic and pre-existing health conditions the burn cohort had 2.48 times the hospitalisation rate compared to the uninjured cohort (95{\%} CI: 2.33–2.65). The cost of post-index hospitalisations in the burn cohort totalled to $AUS248.3 million vs $AUS240.8 million in the uninjured cohort. After adjustment, the burn cohort had hospital costs 2.77 times higher than the uninjured controls (95{\%} CI: 2.58–2.98). Conclusions: After adjustment for covariates, burn patients experienced greater hospital use for a prolonged period after the initial injury compared with uninjured people. The mean cost per episode of care was generally higher for members of the burn cohort compared to the uninjured cohort indicating either more complicated admissions or admissions for more expensive conditions.",
keywords = "Burns, Costs, Epidemiology, Hospital service use, Linked data",
author = "Randall, {Sean M.} and Wood, {Fiona M.} and Suzanne Rea and Boyd, {James H.} and Duke, {Janine M.}",
year = "2019",
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An Australian study of long-term hospital admissions and costs comparing patients with unintentional burns and uninjured people. / Randall, Sean M.; Wood, Fiona M.; Rea, Suzanne; Boyd, James H.; Duke, Janine M.

In: Burns, 16.12.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - An Australian study of long-term hospital admissions and costs comparing patients with unintentional burns and uninjured people

AU - Randall, Sean M.

AU - Wood, Fiona M.

AU - Rea, Suzanne

AU - Boyd, James H.

AU - Duke, Janine M.

PY - 2019/12/16

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N2 - Background: The objective of this study was to describe and quantify the long-term hospital service use (HSU) after burn injury and associated costs in a population-based cohort of patients with unintentional burns and compare with uninjured people. Methods: This retrospective population-based cohort study analysed de-identified linked health administrative data of all unintentional burns patients (n = 10,460) between 2000 and 2012 in Western Australia and a matched uninjured comparison cohort (n = 42,856). HSU after burn injury (annual admission counts and cumulative length of stay) was examined. HSU costs were based on the Australian Refined Diagnosis Related Groups (AR-DRGs) code on each record. Generalised linear models were used to examine and quantify associations between burn injury and long-term HSU and associated costs. Results: There were 48,728 hospitalisations after burn occurring within the study period in the burn cohort; in the uninjured comparison cohort, there were 53,244 post-study index hospitalisations. Of those in the burn cohort, 63.9% (n = 6828) had a further hospitalisation after burn injury; this compared with 40.4% (n = 17,297) in the uninjured cohort. After adjustment for socio-demographic and pre-existing health conditions the burn cohort had 2.48 times the hospitalisation rate compared to the uninjured cohort (95% CI: 2.33–2.65). The cost of post-index hospitalisations in the burn cohort totalled to $AUS248.3 million vs $AUS240.8 million in the uninjured cohort. After adjustment, the burn cohort had hospital costs 2.77 times higher than the uninjured controls (95% CI: 2.58–2.98). Conclusions: After adjustment for covariates, burn patients experienced greater hospital use for a prolonged period after the initial injury compared with uninjured people. The mean cost per episode of care was generally higher for members of the burn cohort compared to the uninjured cohort indicating either more complicated admissions or admissions for more expensive conditions.

AB - Background: The objective of this study was to describe and quantify the long-term hospital service use (HSU) after burn injury and associated costs in a population-based cohort of patients with unintentional burns and compare with uninjured people. Methods: This retrospective population-based cohort study analysed de-identified linked health administrative data of all unintentional burns patients (n = 10,460) between 2000 and 2012 in Western Australia and a matched uninjured comparison cohort (n = 42,856). HSU after burn injury (annual admission counts and cumulative length of stay) was examined. HSU costs were based on the Australian Refined Diagnosis Related Groups (AR-DRGs) code on each record. Generalised linear models were used to examine and quantify associations between burn injury and long-term HSU and associated costs. Results: There were 48,728 hospitalisations after burn occurring within the study period in the burn cohort; in the uninjured comparison cohort, there were 53,244 post-study index hospitalisations. Of those in the burn cohort, 63.9% (n = 6828) had a further hospitalisation after burn injury; this compared with 40.4% (n = 17,297) in the uninjured cohort. After adjustment for socio-demographic and pre-existing health conditions the burn cohort had 2.48 times the hospitalisation rate compared to the uninjured cohort (95% CI: 2.33–2.65). The cost of post-index hospitalisations in the burn cohort totalled to $AUS248.3 million vs $AUS240.8 million in the uninjured cohort. After adjustment, the burn cohort had hospital costs 2.77 times higher than the uninjured controls (95% CI: 2.58–2.98). Conclusions: After adjustment for covariates, burn patients experienced greater hospital use for a prolonged period after the initial injury compared with uninjured people. The mean cost per episode of care was generally higher for members of the burn cohort compared to the uninjured cohort indicating either more complicated admissions or admissions for more expensive conditions.

KW - Burns

KW - Costs

KW - Epidemiology

KW - Hospital service use

KW - Linked data

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