The direct hospitalisation costs of paediatric scalds: 2-Year results of a prospective case series

Abstract Objective To reveal the characteristic and distribution of length of hospital stay (LOS) and direct hospitalisation costs of paediatric scald. Methods A prospective case series observation was performed from January 2005 to December 2006 at the Burn Center, Changhai Hospital, Shanghai, Chin...

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Veröffentlicht in:Burns 2009-08, Vol.35 (5), p.738-745
Hauptverfasser: Kai-Yang, Lv, Shi-Hui, Zhu, Hong-Tai, Tang, Yi-Tao, Jia, Zhao-Fan, Xia, Dao-Feng, Ben, Wei, Lu, Guang-Qing, Wang, Guang-Yi, Wang, Shi-Chu, Xiao, Da-Sheng, Cheng, Bing, Ma, Jian-Rong, Zhang
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container_end_page 745
container_issue 5
container_start_page 738
container_title Burns
container_volume 35
creator Kai-Yang, Lv
Shi-Hui, Zhu
Hong-Tai, Tang
Yi-Tao, Jia
Zhao-Fan, Xia
Dao-Feng, Ben
Wei, Lu
Guang-Qing, Wang
Guang-Yi, Wang
Shi-Chu, Xiao
Da-Sheng, Cheng
Bing, Ma
Jian-Rong, Zhang
description Abstract Objective To reveal the characteristic and distribution of length of hospital stay (LOS) and direct hospitalisation costs of paediatric scald. Methods A prospective case series observation was performed from January 2005 to December 2006 at the Burn Center, Changhai Hospital, Shanghai, China. The information, such as demographics, clinical diagnosis and treatments since admission, of the paediatric scald patients included in the series was recorded. The direct cost of a treatment event was recorded into the price system when it was incurred. All cost data were summarised on completion of the study. The distribution of LOS and the hospitalisation costs were recorded by gender, age, total burn area, depth of burn, blood transfusion and patterns of treatment. Mann–Whitney signed-rank test was used to assess the differences between continuous, non-normally distributed variables, and multiple linear regression was used to model LOS and direct hospitalisation costs. Statistical analyses were undertaken with SPSS 15.0 statistical software. Results Patients aged 3 years or less accounted for more than half of the total LOS and hospitalisation costs, patients with burn area less than 10%TBSA (total burn surface area) accounted for more than 70% of the total LOS and more than half of the hospitalisation costs and patients with second-degree burn accounted for more than 78% of the total LOS and hospitalisation costs. Depth of burn, area of burn, patterns of treatment and blood transfusion were independent predictors of LOS; whereas LOS, area of burn and blood transfusion were independent predictors of hospitalisation costs. Conclusion Paediatric scalds have particular characteristics in terms of distribution of LOS and direct hospitalisation costs and the factors influencing them. The data presented in this study should assist burn care practitioners and hospital epidemiologists estimate and compare the economic burden of paediatric burns at other institutions; it may also be useful in resource allocation and cost-effectiveness analysis of treatment versus prevention strategies.
doi_str_mv 10.1016/j.burns.2008.12.004
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Methods A prospective case series observation was performed from January 2005 to December 2006 at the Burn Center, Changhai Hospital, Shanghai, China. The information, such as demographics, clinical diagnosis and treatments since admission, of the paediatric scald patients included in the series was recorded. The direct cost of a treatment event was recorded into the price system when it was incurred. All cost data were summarised on completion of the study. The distribution of LOS and the hospitalisation costs were recorded by gender, age, total burn area, depth of burn, blood transfusion and patterns of treatment. Mann–Whitney signed-rank test was used to assess the differences between continuous, non-normally distributed variables, and multiple linear regression was used to model LOS and direct hospitalisation costs. Statistical analyses were undertaken with SPSS 15.0 statistical software. Results Patients aged 3 years or less accounted for more than half of the total LOS and hospitalisation costs, patients with burn area less than 10%TBSA (total burn surface area) accounted for more than 70% of the total LOS and more than half of the hospitalisation costs and patients with second-degree burn accounted for more than 78% of the total LOS and hospitalisation costs. Depth of burn, area of burn, patterns of treatment and blood transfusion were independent predictors of LOS; whereas LOS, area of burn and blood transfusion were independent predictors of hospitalisation costs. Conclusion Paediatric scalds have particular characteristics in terms of distribution of LOS and direct hospitalisation costs and the factors influencing them. The data presented in this study should assist burn care practitioners and hospital epidemiologists estimate and compare the economic burden of paediatric burns at other institutions; it may also be useful in resource allocation and cost-effectiveness analysis of treatment versus prevention strategies.</description><identifier>ISSN: 0305-4179</identifier><identifier>EISSN: 1879-1409</identifier><identifier>DOI: 10.1016/j.burns.2008.12.004</identifier><identifier>PMID: 19304397</identifier><identifier>CODEN: BURND8</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Adolescent ; Age Distribution ; Biological and medical sciences ; Burns ; Burns - economics ; Burns - pathology ; Burns - therapy ; Child ; Child Health Services - economics ; Child, Preschool ; China ; Critical Care ; Direct Service Costs ; Female ; General aspects ; Hospital Costs - statistics &amp; numerical data ; Hospitalisation costs ; Hospitalization ; Humans ; Length of Stay ; Male ; Medical sciences ; Paediatric ; Prevention ; Prevention and actions ; Prospective Studies ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Scald ; Traumas. Diseases due to physical agents</subject><ispartof>Burns, 2009-08, Vol.35 (5), p.738-745</ispartof><rights>2009</rights><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-60848e89e083aa511953de055393b5c85a613d40c875119f757201e140a1f3243</citedby><cites>FETCH-LOGICAL-c442t-60848e89e083aa511953de055393b5c85a613d40c875119f757201e140a1f3243</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0305417908003914$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=21699536$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19304397$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kai-Yang, Lv</creatorcontrib><creatorcontrib>Shi-Hui, Zhu</creatorcontrib><creatorcontrib>Hong-Tai, Tang</creatorcontrib><creatorcontrib>Yi-Tao, Jia</creatorcontrib><creatorcontrib>Zhao-Fan, Xia</creatorcontrib><creatorcontrib>Dao-Feng, Ben</creatorcontrib><creatorcontrib>Wei, Lu</creatorcontrib><creatorcontrib>Guang-Qing, Wang</creatorcontrib><creatorcontrib>Guang-Yi, Wang</creatorcontrib><creatorcontrib>Shi-Chu, Xiao</creatorcontrib><creatorcontrib>Da-Sheng, Cheng</creatorcontrib><creatorcontrib>Bing, Ma</creatorcontrib><creatorcontrib>Jian-Rong, Zhang</creatorcontrib><title>The direct hospitalisation costs of paediatric scalds: 2-Year results of a prospective case series</title><title>Burns</title><addtitle>Burns</addtitle><description>Abstract Objective To reveal the characteristic and distribution of length of hospital stay (LOS) and direct hospitalisation costs of paediatric scald. Methods A prospective case series observation was performed from January 2005 to December 2006 at the Burn Center, Changhai Hospital, Shanghai, China. The information, such as demographics, clinical diagnosis and treatments since admission, of the paediatric scald patients included in the series was recorded. The direct cost of a treatment event was recorded into the price system when it was incurred. All cost data were summarised on completion of the study. The distribution of LOS and the hospitalisation costs were recorded by gender, age, total burn area, depth of burn, blood transfusion and patterns of treatment. Mann–Whitney signed-rank test was used to assess the differences between continuous, non-normally distributed variables, and multiple linear regression was used to model LOS and direct hospitalisation costs. Statistical analyses were undertaken with SPSS 15.0 statistical software. Results Patients aged 3 years or less accounted for more than half of the total LOS and hospitalisation costs, patients with burn area less than 10%TBSA (total burn surface area) accounted for more than 70% of the total LOS and more than half of the hospitalisation costs and patients with second-degree burn accounted for more than 78% of the total LOS and hospitalisation costs. Depth of burn, area of burn, patterns of treatment and blood transfusion were independent predictors of LOS; whereas LOS, area of burn and blood transfusion were independent predictors of hospitalisation costs. Conclusion Paediatric scalds have particular characteristics in terms of distribution of LOS and direct hospitalisation costs and the factors influencing them. The data presented in this study should assist burn care practitioners and hospital epidemiologists estimate and compare the economic burden of paediatric burns at other institutions; it may also be useful in resource allocation and cost-effectiveness analysis of treatment versus prevention strategies.</description><subject>Adolescent</subject><subject>Age Distribution</subject><subject>Biological and medical sciences</subject><subject>Burns</subject><subject>Burns - economics</subject><subject>Burns - pathology</subject><subject>Burns - therapy</subject><subject>Child</subject><subject>Child Health Services - economics</subject><subject>Child, Preschool</subject><subject>China</subject><subject>Critical Care</subject><subject>Direct Service Costs</subject><subject>Female</subject><subject>General aspects</subject><subject>Hospital Costs - statistics &amp; numerical data</subject><subject>Hospitalisation costs</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Length of Stay</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Paediatric</subject><subject>Prevention</subject><subject>Prevention and actions</subject><subject>Prospective Studies</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Scald</subject><subject>Traumas. 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Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Scald</topic><topic>Traumas. Diseases due to physical agents</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kai-Yang, Lv</creatorcontrib><creatorcontrib>Shi-Hui, Zhu</creatorcontrib><creatorcontrib>Hong-Tai, Tang</creatorcontrib><creatorcontrib>Yi-Tao, Jia</creatorcontrib><creatorcontrib>Zhao-Fan, Xia</creatorcontrib><creatorcontrib>Dao-Feng, Ben</creatorcontrib><creatorcontrib>Wei, Lu</creatorcontrib><creatorcontrib>Guang-Qing, Wang</creatorcontrib><creatorcontrib>Guang-Yi, Wang</creatorcontrib><creatorcontrib>Shi-Chu, Xiao</creatorcontrib><creatorcontrib>Da-Sheng, Cheng</creatorcontrib><creatorcontrib>Bing, Ma</creatorcontrib><creatorcontrib>Jian-Rong, Zhang</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Burns</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kai-Yang, Lv</au><au>Shi-Hui, Zhu</au><au>Hong-Tai, Tang</au><au>Yi-Tao, Jia</au><au>Zhao-Fan, Xia</au><au>Dao-Feng, Ben</au><au>Wei, Lu</au><au>Guang-Qing, Wang</au><au>Guang-Yi, Wang</au><au>Shi-Chu, Xiao</au><au>Da-Sheng, Cheng</au><au>Bing, Ma</au><au>Jian-Rong, Zhang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The direct hospitalisation costs of paediatric scalds: 2-Year results of a prospective case series</atitle><jtitle>Burns</jtitle><addtitle>Burns</addtitle><date>2009-08-01</date><risdate>2009</risdate><volume>35</volume><issue>5</issue><spage>738</spage><epage>745</epage><pages>738-745</pages><issn>0305-4179</issn><eissn>1879-1409</eissn><coden>BURND8</coden><abstract>Abstract Objective To reveal the characteristic and distribution of length of hospital stay (LOS) and direct hospitalisation costs of paediatric scald. Methods A prospective case series observation was performed from January 2005 to December 2006 at the Burn Center, Changhai Hospital, Shanghai, China. The information, such as demographics, clinical diagnosis and treatments since admission, of the paediatric scald patients included in the series was recorded. The direct cost of a treatment event was recorded into the price system when it was incurred. All cost data were summarised on completion of the study. The distribution of LOS and the hospitalisation costs were recorded by gender, age, total burn area, depth of burn, blood transfusion and patterns of treatment. Mann–Whitney signed-rank test was used to assess the differences between continuous, non-normally distributed variables, and multiple linear regression was used to model LOS and direct hospitalisation costs. Statistical analyses were undertaken with SPSS 15.0 statistical software. Results Patients aged 3 years or less accounted for more than half of the total LOS and hospitalisation costs, patients with burn area less than 10%TBSA (total burn surface area) accounted for more than 70% of the total LOS and more than half of the hospitalisation costs and patients with second-degree burn accounted for more than 78% of the total LOS and hospitalisation costs. Depth of burn, area of burn, patterns of treatment and blood transfusion were independent predictors of LOS; whereas LOS, area of burn and blood transfusion were independent predictors of hospitalisation costs. Conclusion Paediatric scalds have particular characteristics in terms of distribution of LOS and direct hospitalisation costs and the factors influencing them. The data presented in this study should assist burn care practitioners and hospital epidemiologists estimate and compare the economic burden of paediatric burns at other institutions; it may also be useful in resource allocation and cost-effectiveness analysis of treatment versus prevention strategies.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>19304397</pmid><doi>10.1016/j.burns.2008.12.004</doi><tpages>8</tpages></addata></record>
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subjects Adolescent
Age Distribution
Biological and medical sciences
Burns
Burns - economics
Burns - pathology
Burns - therapy
Child
Child Health Services - economics
Child, Preschool
China
Critical Care
Direct Service Costs
Female
General aspects
Hospital Costs - statistics & numerical data
Hospitalisation costs
Hospitalization
Humans
Length of Stay
Male
Medical sciences
Paediatric
Prevention
Prevention and actions
Prospective Studies
Public health. Hygiene
Public health. Hygiene-occupational medicine
Scald
Traumas. Diseases due to physical agents
title The direct hospitalisation costs of paediatric scalds: 2-Year results of a prospective case series
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