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Decision-making for children requiring interhospital transport: assessment of a novel triage tool

ObjectiveThe use of specialist retrieval teams to transport critically ill children is associated with reduced risk-adjusted mortality and morbidity; however, there is a paucity of data to guide decision-making related to retrieval team activation. We aimed to assess the accuracy of a novel triage t...

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Published in:Archives of disease in childhood 2021-12, Vol.106 (12), p.1184-1190
Main Authors: Slater, Anthony, Crosbie, Deanne, Essenstam, Dionne, Hoggard, Brett, Holmes, Paul, McEniery, Julie, Thompson, Michelle
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cited_by cdi_FETCH-LOGICAL-b432t-37313f896ed8aa1eb36e5ce0c1058c73562050b2af02a669fb10603ef32914733
cites cdi_FETCH-LOGICAL-b432t-37313f896ed8aa1eb36e5ce0c1058c73562050b2af02a669fb10603ef32914733
container_end_page 1190
container_issue 12
container_start_page 1184
container_title Archives of disease in childhood
container_volume 106
creator Slater, Anthony
Crosbie, Deanne
Essenstam, Dionne
Hoggard, Brett
Holmes, Paul
McEniery, Julie
Thompson, Michelle
description ObjectiveThe use of specialist retrieval teams to transport critically ill children is associated with reduced risk-adjusted mortality and morbidity; however, there is a paucity of data to guide decision-making related to retrieval team activation. We aimed to assess the accuracy of a novel triage tool designed to identify critically ill children at the time of referral for interhospital transport.DesignProspective observational study.SettingRegional paediatric retrieval and transport services.PatientsData were collected for 1815 children referred consecutively for interhospital transport from 87 hospitals in Queensland and northern New South Wales.InterventionImplementation of the Queensland Paediatric Transport Triage Tool.Main outcome measuresAccuracy was assessed by calculating the sensitivity, specificity and negative predictive value for predicting transport by a retrieval team, or admission to intensive care following transport.ResultsA total of 574 (32%) children were transported with a retrieval team. Prediction of retrieval (95% CIs): sensitivity 96.9% (95% CI 95.1% to 98.1%), specificity 91.4% (95% CI 89.7% to 92.9%), negative predictive value 98.4% (95% CI 97.5% to 99.1%). There were 412 (23%) children admitted to intensive care following transport. Prediction of intensive care admission: sensitivity 96.8% (95% CI 94.7% to 98.3%), specificity 81.2% (95% CI 79.0% to 83.2%), negative predictive value 98.9% (95% CI 98.1% to 99.4%).ConclusionsThe triage tool predicted the need for retrieval or intensive care admission with high sensitivity and specificity. The high negative predictive value indicates that, in our setting, children categorised as acutely ill rather than critically ill are generally suitable for interhospital transport without a retrieval team.
doi_str_mv 10.1136/archdischild-2019-318634
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We aimed to assess the accuracy of a novel triage tool designed to identify critically ill children at the time of referral for interhospital transport.DesignProspective observational study.SettingRegional paediatric retrieval and transport services.PatientsData were collected for 1815 children referred consecutively for interhospital transport from 87 hospitals in Queensland and northern New South Wales.InterventionImplementation of the Queensland Paediatric Transport Triage Tool.Main outcome measuresAccuracy was assessed by calculating the sensitivity, specificity and negative predictive value for predicting transport by a retrieval team, or admission to intensive care following transport.ResultsA total of 574 (32%) children were transported with a retrieval team. Prediction of retrieval (95% CIs): sensitivity 96.9% (95% CI 95.1% to 98.1%), specificity 91.4% (95% CI 89.7% to 92.9%), negative predictive value 98.4% (95% CI 97.5% to 99.1%). There were 412 (23%) children admitted to intensive care following transport. Prediction of intensive care admission: sensitivity 96.8% (95% CI 94.7% to 98.3%), specificity 81.2% (95% CI 79.0% to 83.2%), negative predictive value 98.9% (95% CI 98.1% to 99.4%).ConclusionsThe triage tool predicted the need for retrieval or intensive care admission with high sensitivity and specificity. The high negative predictive value indicates that, in our setting, children categorised as acutely ill rather than critically ill are generally suitable for interhospital transport without a retrieval team.</description><identifier>ISSN: 0003-9888</identifier><identifier>EISSN: 1468-2044</identifier><identifier>DOI: 10.1136/archdischild-2019-318634</identifier><identifier>PMID: 33931398</identifier><language>eng</language><publisher>England: BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health</publisher><subject>Ambulance services ; Attrition (Research Studies) ; Child ; Child Health ; Child, Preschool ; Children ; Children &amp; youth ; Clinical decision making ; Continuity of care ; Coordination ; Critical care ; Critical Illness - therapy ; Decision Making ; Epidemiology ; Female ; Hospitals ; Humans ; Infant ; Intensive care ; Intensive Care Units, Pediatric - organization &amp; administration ; Male ; Medical referrals ; Morbidity ; Mortality ; Mortality risk ; New South Wales ; Nurses ; Observational studies ; Original research ; Patient Transfer ; Patients ; Pediatrics ; Physicians ; physiology ; Prospective Studies ; Referral ; Risk reduction ; Transportation of Patients ; Trauma ; Triage - methods ; Triage - organization &amp; administration ; Vital signs</subject><ispartof>Archives of disease in childhood, 2021-12, Vol.106 (12), p.1184-1190</ispartof><rights>Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2021 Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b432t-37313f896ed8aa1eb36e5ce0c1058c73562050b2af02a669fb10603ef32914733</citedby><cites>FETCH-LOGICAL-b432t-37313f896ed8aa1eb36e5ce0c1058c73562050b2af02a669fb10603ef32914733</cites><orcidid>0000-0002-3127-1060</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2599383169/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2599383169?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21357,21373,27901,27902,33588,33589,33854,33855,43709,43856,74192,74367</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33931398$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Slater, Anthony</creatorcontrib><creatorcontrib>Crosbie, Deanne</creatorcontrib><creatorcontrib>Essenstam, Dionne</creatorcontrib><creatorcontrib>Hoggard, Brett</creatorcontrib><creatorcontrib>Holmes, Paul</creatorcontrib><creatorcontrib>McEniery, Julie</creatorcontrib><creatorcontrib>Thompson, Michelle</creatorcontrib><title>Decision-making for children requiring interhospital transport: assessment of a novel triage tool</title><title>Archives of disease in childhood</title><addtitle>Arch Dis Child</addtitle><addtitle>Arch Dis Child</addtitle><description>ObjectiveThe use of specialist retrieval teams to transport critically ill children is associated with reduced risk-adjusted mortality and morbidity; however, there is a paucity of data to guide decision-making related to retrieval team activation. We aimed to assess the accuracy of a novel triage tool designed to identify critically ill children at the time of referral for interhospital transport.DesignProspective observational study.SettingRegional paediatric retrieval and transport services.PatientsData were collected for 1815 children referred consecutively for interhospital transport from 87 hospitals in Queensland and northern New South Wales.InterventionImplementation of the Queensland Paediatric Transport Triage Tool.Main outcome measuresAccuracy was assessed by calculating the sensitivity, specificity and negative predictive value for predicting transport by a retrieval team, or admission to intensive care following transport.ResultsA total of 574 (32%) children were transported with a retrieval team. Prediction of retrieval (95% CIs): sensitivity 96.9% (95% CI 95.1% to 98.1%), specificity 91.4% (95% CI 89.7% to 92.9%), negative predictive value 98.4% (95% CI 97.5% to 99.1%). There were 412 (23%) children admitted to intensive care following transport. Prediction of intensive care admission: sensitivity 96.8% (95% CI 94.7% to 98.3%), specificity 81.2% (95% CI 79.0% to 83.2%), negative predictive value 98.9% (95% CI 98.1% to 99.4%).ConclusionsThe triage tool predicted the need for retrieval or intensive care admission with high sensitivity and specificity. The high negative predictive value indicates that, in our setting, children categorised as acutely ill rather than critically ill are generally suitable for interhospital transport without a retrieval team.</description><subject>Ambulance services</subject><subject>Attrition (Research Studies)</subject><subject>Child</subject><subject>Child Health</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Children &amp; youth</subject><subject>Clinical decision making</subject><subject>Continuity of care</subject><subject>Coordination</subject><subject>Critical care</subject><subject>Critical Illness - therapy</subject><subject>Decision Making</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Infant</subject><subject>Intensive care</subject><subject>Intensive Care Units, Pediatric - organization &amp; administration</subject><subject>Male</subject><subject>Medical referrals</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>Mortality risk</subject><subject>New South Wales</subject><subject>Nurses</subject><subject>Observational studies</subject><subject>Original research</subject><subject>Patient Transfer</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Physicians</subject><subject>physiology</subject><subject>Prospective Studies</subject><subject>Referral</subject><subject>Risk reduction</subject><subject>Transportation of Patients</subject><subject>Trauma</subject><subject>Triage - methods</subject><subject>Triage - organization &amp; 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administration</topic><topic>Vital signs</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Slater, Anthony</creatorcontrib><creatorcontrib>Crosbie, Deanne</creatorcontrib><creatorcontrib>Essenstam, Dionne</creatorcontrib><creatorcontrib>Hoggard, Brett</creatorcontrib><creatorcontrib>Holmes, Paul</creatorcontrib><creatorcontrib>McEniery, Julie</creatorcontrib><creatorcontrib>Thompson, Michelle</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection【Remote access available】</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Education Periodicals</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>Education Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database</collection><collection>ProQuest Health &amp; 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however, there is a paucity of data to guide decision-making related to retrieval team activation. We aimed to assess the accuracy of a novel triage tool designed to identify critically ill children at the time of referral for interhospital transport.DesignProspective observational study.SettingRegional paediatric retrieval and transport services.PatientsData were collected for 1815 children referred consecutively for interhospital transport from 87 hospitals in Queensland and northern New South Wales.InterventionImplementation of the Queensland Paediatric Transport Triage Tool.Main outcome measuresAccuracy was assessed by calculating the sensitivity, specificity and negative predictive value for predicting transport by a retrieval team, or admission to intensive care following transport.ResultsA total of 574 (32%) children were transported with a retrieval team. Prediction of retrieval (95% CIs): sensitivity 96.9% (95% CI 95.1% to 98.1%), specificity 91.4% (95% CI 89.7% to 92.9%), negative predictive value 98.4% (95% CI 97.5% to 99.1%). There were 412 (23%) children admitted to intensive care following transport. Prediction of intensive care admission: sensitivity 96.8% (95% CI 94.7% to 98.3%), specificity 81.2% (95% CI 79.0% to 83.2%), negative predictive value 98.9% (95% CI 98.1% to 99.4%).ConclusionsThe triage tool predicted the need for retrieval or intensive care admission with high sensitivity and specificity. The high negative predictive value indicates that, in our setting, children categorised as acutely ill rather than critically ill are generally suitable for interhospital transport without a retrieval team.</abstract><cop>England</cop><pub>BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health</pub><pmid>33931398</pmid><doi>10.1136/archdischild-2019-318634</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-3127-1060</orcidid></addata></record>
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subjects Ambulance services
Attrition (Research Studies)
Child
Child Health
Child, Preschool
Children
Children & youth
Clinical decision making
Continuity of care
Coordination
Critical care
Critical Illness - therapy
Decision Making
Epidemiology
Female
Hospitals
Humans
Infant
Intensive care
Intensive Care Units, Pediatric - organization & administration
Male
Medical referrals
Morbidity
Mortality
Mortality risk
New South Wales
Nurses
Observational studies
Original research
Patient Transfer
Patients
Pediatrics
Physicians
physiology
Prospective Studies
Referral
Risk reduction
Transportation of Patients
Trauma
Triage - methods
Triage - organization & administration
Vital signs
title Decision-making for children requiring interhospital transport: assessment of a novel triage tool
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