Challenges of a French Hospital Discharge algorithm to detect non-accidental paediatric burns

Abstract Background Child maltreatment includes physical, psychological, sexual abuse and acts of neglect. Among the resulting non-accidental injuries, burns are responsible for an important morbi-mortality. The main objective was to build a detection algorithm of non-accidental paediatric burns (NA...

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Veröffentlicht in:European journal of public health 2019-11, Vol.29 (Supplement_4)
Hauptverfasser: Hermetet, C, Laurent, E, El Allali, Y, Gaborit, C, Lecuyer, A-I, Urvois-Grange, A, Saint-Martin, P, Biotteau, M, Le Touze, A, Grammatico-Guillon, L
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container_issue Supplement_4
container_start_page
container_title European journal of public health
container_volume 29
creator Hermetet, C
Laurent, E
El Allali, Y
Gaborit, C
Lecuyer, A-I
Urvois-Grange, A
Saint-Martin, P
Biotteau, M
Le Touze, A
Grammatico-Guillon, L
description Abstract Background Child maltreatment includes physical, psychological, sexual abuse and acts of neglect. Among the resulting non-accidental injuries, burns are responsible for an important morbi-mortality. The main objective was to build a detection algorithm of non-accidental paediatric burns (NAB), using ICD-10 codes in the hospital resumes from the French Hospital Discharge Database (HDD). Methods Children aged 0 to 16 years old hospitalised at the University Hospital of Tours from 2012 to 2017 with a coded burn were included. “Probable” or “possible” HDD cases of NAB were defined based on specific ICD-10 codes during the inclusion stay or the previous year. A chart review was performed on all the HDD cases and HDD non cases matched on sex and age with a 1:2 ratio. Performance parameters were estimated for three clinical definitions of suspected child maltreatment: excluding neglect, including neglect with restriction then broad definition. For clinical cases, report to the judicial authority (RJA) or worrying information (WI) was searched. Results Among the 253 included children, 83 “probable” cases and 153 non cases were analysed. Sensitivity varied from 48% (95%CI [36-60]) to 90% [55-100] when excluding neglect, specificity from 70% [63;77] to 68% [61;74]. The positive and negative likelihood ratios varied respectively from 1,6 [1,2;2,3] to 2,8 [2,1;3,7] and from 0,7 [0,6;0,9] to 0,1 [0,0;0,9]. The proportion of clinical cases with no RJA/WI without reason varied from 0 (when excluding neglect) to > 85% (with broadest definition); all corresponded to a possible isolated neglect. Conclusions The performances of the algorithm varied tremendously according to the clinical definition level of child maltreatment. Neglect is obviously difficult to clinically detect. Training for healthcare professionals and qualitative studies on obstacles to RJA/WI should be added to this work. Key messages The performances of an algorithm to detect non-accidental pediatric burns (maltreatment) using the French hospital discharge database dropped when including neglect, difficult to diagnose clinically. Training for healthcare professionals and qualitative studies on obstacles to the judicial authority (RJA) or worrying information (WI) should be added to this diagnostic study.
doi_str_mv 10.1093/eurpub/ckz186.627
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Among the resulting non-accidental injuries, burns are responsible for an important morbi-mortality. The main objective was to build a detection algorithm of non-accidental paediatric burns (NAB), using ICD-10 codes in the hospital resumes from the French Hospital Discharge Database (HDD). Methods Children aged 0 to 16 years old hospitalised at the University Hospital of Tours from 2012 to 2017 with a coded burn were included. “Probable” or “possible” HDD cases of NAB were defined based on specific ICD-10 codes during the inclusion stay or the previous year. A chart review was performed on all the HDD cases and HDD non cases matched on sex and age with a 1:2 ratio. Performance parameters were estimated for three clinical definitions of suspected child maltreatment: excluding neglect, including neglect with restriction then broad definition. For clinical cases, report to the judicial authority (RJA) or worrying information (WI) was searched. Results Among the 253 included children, 83 “probable” cases and 153 non cases were analysed. Sensitivity varied from 48% (95%CI [36-60]) to 90% [55-100] when excluding neglect, specificity from 70% [63;77] to 68% [61;74]. The positive and negative likelihood ratios varied respectively from 1,6 [1,2;2,3] to 2,8 [2,1;3,7] and from 0,7 [0,6;0,9] to 0,1 [0,0;0,9]. The proportion of clinical cases with no RJA/WI without reason varied from 0 (when excluding neglect) to &gt; 85% (with broadest definition); all corresponded to a possible isolated neglect. Conclusions The performances of the algorithm varied tremendously according to the clinical definition level of child maltreatment. Neglect is obviously difficult to clinically detect. Training for healthcare professionals and qualitative studies on obstacles to RJA/WI should be added to this work. Key messages The performances of an algorithm to detect non-accidental pediatric burns (maltreatment) using the French hospital discharge database dropped when including neglect, difficult to diagnose clinically. Training for healthcare professionals and qualitative studies on obstacles to the judicial authority (RJA) or worrying information (WI) should be added to this diagnostic study.</description><identifier>ISSN: 1101-1262</identifier><identifier>EISSN: 1464-360X</identifier><identifier>DOI: 10.1093/eurpub/ckz186.627</identifier><language>eng</language><publisher>Oxford: Oxford University Press</publisher><subject>Accidents ; Algorithms ; Barriers ; Burns ; Child abuse &amp; neglect ; Children ; Diagnostic systems ; Discharge ; Emotional abuse ; Health care ; Health services ; Injuries ; Medical personnel ; Parameter estimation ; Pediatrics ; Professionals ; Public health ; Qualitative research ; Sexual abuse ; Sexual assault ; Training</subject><ispartof>European journal of public health, 2019-11, Vol.29 (Supplement_4)</ispartof><rights>The Author(s) 2019. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved. 2019</rights><rights>The Author(s) 2019. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1604,27866,27924,27925,33774</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/eurpub/ckz186.627$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc></links><search><creatorcontrib>Hermetet, C</creatorcontrib><creatorcontrib>Laurent, E</creatorcontrib><creatorcontrib>El Allali, Y</creatorcontrib><creatorcontrib>Gaborit, C</creatorcontrib><creatorcontrib>Lecuyer, A-I</creatorcontrib><creatorcontrib>Urvois-Grange, A</creatorcontrib><creatorcontrib>Saint-Martin, P</creatorcontrib><creatorcontrib>Biotteau, M</creatorcontrib><creatorcontrib>Le Touze, A</creatorcontrib><creatorcontrib>Grammatico-Guillon, L</creatorcontrib><title>Challenges of a French Hospital Discharge algorithm to detect non-accidental paediatric burns</title><title>European journal of public health</title><description>Abstract Background Child maltreatment includes physical, psychological, sexual abuse and acts of neglect. Among the resulting non-accidental injuries, burns are responsible for an important morbi-mortality. The main objective was to build a detection algorithm of non-accidental paediatric burns (NAB), using ICD-10 codes in the hospital resumes from the French Hospital Discharge Database (HDD). Methods Children aged 0 to 16 years old hospitalised at the University Hospital of Tours from 2012 to 2017 with a coded burn were included. “Probable” or “possible” HDD cases of NAB were defined based on specific ICD-10 codes during the inclusion stay or the previous year. A chart review was performed on all the HDD cases and HDD non cases matched on sex and age with a 1:2 ratio. Performance parameters were estimated for three clinical definitions of suspected child maltreatment: excluding neglect, including neglect with restriction then broad definition. For clinical cases, report to the judicial authority (RJA) or worrying information (WI) was searched. Results Among the 253 included children, 83 “probable” cases and 153 non cases were analysed. Sensitivity varied from 48% (95%CI [36-60]) to 90% [55-100] when excluding neglect, specificity from 70% [63;77] to 68% [61;74]. The positive and negative likelihood ratios varied respectively from 1,6 [1,2;2,3] to 2,8 [2,1;3,7] and from 0,7 [0,6;0,9] to 0,1 [0,0;0,9]. The proportion of clinical cases with no RJA/WI without reason varied from 0 (when excluding neglect) to &gt; 85% (with broadest definition); all corresponded to a possible isolated neglect. Conclusions The performances of the algorithm varied tremendously according to the clinical definition level of child maltreatment. Neglect is obviously difficult to clinically detect. Training for healthcare professionals and qualitative studies on obstacles to RJA/WI should be added to this work. Key messages The performances of an algorithm to detect non-accidental pediatric burns (maltreatment) using the French hospital discharge database dropped when including neglect, difficult to diagnose clinically. Training for healthcare professionals and qualitative studies on obstacles to the judicial authority (RJA) or worrying information (WI) should be added to this diagnostic study.</description><subject>Accidents</subject><subject>Algorithms</subject><subject>Barriers</subject><subject>Burns</subject><subject>Child abuse &amp; neglect</subject><subject>Children</subject><subject>Diagnostic systems</subject><subject>Discharge</subject><subject>Emotional abuse</subject><subject>Health care</subject><subject>Health services</subject><subject>Injuries</subject><subject>Medical personnel</subject><subject>Parameter estimation</subject><subject>Pediatrics</subject><subject>Professionals</subject><subject>Public health</subject><subject>Qualitative research</subject><subject>Sexual abuse</subject><subject>Sexual assault</subject><subject>Training</subject><issn>1101-1262</issn><issn>1464-360X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>BHHNA</sourceid><recordid>eNqNkLFOwzAURS0EEqXwAWyWWEnxsx07GVGhFKkSC0gsyHKclzYljYOdDPD1pAofwPTucO670iHkGtgCWC7ucAjdUNy5zx_I1EJxfUJmIJVMhGLvp2MGBglwxc_JRYx7xliqMz4jH8udbRpstxipr6ilq4Ct29G1j13d24Y-1NHtbNgitc3Wh7rfHWjvaYk9up62vk2sc3WJ7RHuLJa17UPtaDGENl6Ss8o2Ea_-7py8rR5fl-tk8_L0vLzfJA5SppNCcClBaAauKK3QmUCeWVnmakwKMpumgNKBRpnLAooizVkOlcw1r5SsUjEnN9PfLvivAWNv9n7cHycNl4KB1imDkYKJcsHHGLAyXagPNnwbYOZo0UwWzWTRjBbHzu3U8UP3D_wXSAt2kQ</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Hermetet, C</creator><creator>Laurent, E</creator><creator>El Allali, Y</creator><creator>Gaborit, C</creator><creator>Lecuyer, A-I</creator><creator>Urvois-Grange, A</creator><creator>Saint-Martin, P</creator><creator>Biotteau, M</creator><creator>Le Touze, A</creator><creator>Grammatico-Guillon, L</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7TQ</scope><scope>7U3</scope><scope>BHHNA</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20191101</creationdate><title>Challenges of a French Hospital Discharge algorithm to detect non-accidental paediatric burns</title><author>Hermetet, C ; Laurent, E ; El Allali, Y ; Gaborit, C ; Lecuyer, A-I ; Urvois-Grange, A ; Saint-Martin, P ; Biotteau, M ; Le Touze, A ; Grammatico-Guillon, L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1507-b324413701cbda3783e28a4d9683e618a551e4c17e494b1bb59091f4972f64f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Accidents</topic><topic>Algorithms</topic><topic>Barriers</topic><topic>Burns</topic><topic>Child abuse &amp; neglect</topic><topic>Children</topic><topic>Diagnostic systems</topic><topic>Discharge</topic><topic>Emotional abuse</topic><topic>Health care</topic><topic>Health services</topic><topic>Injuries</topic><topic>Medical personnel</topic><topic>Parameter estimation</topic><topic>Pediatrics</topic><topic>Professionals</topic><topic>Public health</topic><topic>Qualitative research</topic><topic>Sexual abuse</topic><topic>Sexual assault</topic><topic>Training</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hermetet, C</creatorcontrib><creatorcontrib>Laurent, E</creatorcontrib><creatorcontrib>El Allali, Y</creatorcontrib><creatorcontrib>Gaborit, C</creatorcontrib><creatorcontrib>Lecuyer, A-I</creatorcontrib><creatorcontrib>Urvois-Grange, A</creatorcontrib><creatorcontrib>Saint-Martin, P</creatorcontrib><creatorcontrib>Biotteau, M</creatorcontrib><creatorcontrib>Le Touze, A</creatorcontrib><creatorcontrib>Grammatico-Guillon, L</creatorcontrib><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>PAIS Index</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><jtitle>European journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hermetet, C</au><au>Laurent, E</au><au>El Allali, Y</au><au>Gaborit, C</au><au>Lecuyer, A-I</au><au>Urvois-Grange, A</au><au>Saint-Martin, P</au><au>Biotteau, M</au><au>Le Touze, A</au><au>Grammatico-Guillon, L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Challenges of a French Hospital Discharge algorithm to detect non-accidental paediatric burns</atitle><jtitle>European journal of public health</jtitle><date>2019-11-01</date><risdate>2019</risdate><volume>29</volume><issue>Supplement_4</issue><issn>1101-1262</issn><eissn>1464-360X</eissn><abstract>Abstract Background Child maltreatment includes physical, psychological, sexual abuse and acts of neglect. Among the resulting non-accidental injuries, burns are responsible for an important morbi-mortality. The main objective was to build a detection algorithm of non-accidental paediatric burns (NAB), using ICD-10 codes in the hospital resumes from the French Hospital Discharge Database (HDD). Methods Children aged 0 to 16 years old hospitalised at the University Hospital of Tours from 2012 to 2017 with a coded burn were included. “Probable” or “possible” HDD cases of NAB were defined based on specific ICD-10 codes during the inclusion stay or the previous year. A chart review was performed on all the HDD cases and HDD non cases matched on sex and age with a 1:2 ratio. Performance parameters were estimated for three clinical definitions of suspected child maltreatment: excluding neglect, including neglect with restriction then broad definition. For clinical cases, report to the judicial authority (RJA) or worrying information (WI) was searched. Results Among the 253 included children, 83 “probable” cases and 153 non cases were analysed. Sensitivity varied from 48% (95%CI [36-60]) to 90% [55-100] when excluding neglect, specificity from 70% [63;77] to 68% [61;74]. The positive and negative likelihood ratios varied respectively from 1,6 [1,2;2,3] to 2,8 [2,1;3,7] and from 0,7 [0,6;0,9] to 0,1 [0,0;0,9]. The proportion of clinical cases with no RJA/WI without reason varied from 0 (when excluding neglect) to &gt; 85% (with broadest definition); all corresponded to a possible isolated neglect. Conclusions The performances of the algorithm varied tremendously according to the clinical definition level of child maltreatment. Neglect is obviously difficult to clinically detect. Training for healthcare professionals and qualitative studies on obstacles to RJA/WI should be added to this work. Key messages The performances of an algorithm to detect non-accidental pediatric burns (maltreatment) using the French hospital discharge database dropped when including neglect, difficult to diagnose clinically. Training for healthcare professionals and qualitative studies on obstacles to the judicial authority (RJA) or worrying information (WI) should be added to this diagnostic study.</abstract><cop>Oxford</cop><pub>Oxford University Press</pub><doi>10.1093/eurpub/ckz186.627</doi><oa>free_for_read</oa></addata></record>
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subjects Accidents
Algorithms
Barriers
Burns
Child abuse & neglect
Children
Diagnostic systems
Discharge
Emotional abuse
Health care
Health services
Injuries
Medical personnel
Parameter estimation
Pediatrics
Professionals
Public health
Qualitative research
Sexual abuse
Sexual assault
Training
title Challenges of a French Hospital Discharge algorithm to detect non-accidental paediatric burns
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