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Determining predictors of sepsis at triage among children under 5 years of age in resource-limited settings: A modified Delphi process

Sepsis is a life-threatening dysfunction of the immune system leading to multiorgan failure that is precipitated by infectious diseases and is a leading cause of death in children under 5 years of age. It is necessary to be able to identify a sick child at risk of developing sepsis at the earliest p...

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Autores principales: Fung, Jollee S. T., Akech, Samuel, Kissoon, Niranjan, Wiens, Matthew O., English, Mike, Ansermino, J. Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349330/
https://www.ncbi.nlm.nih.gov/pubmed/30689660
http://dx.doi.org/10.1371/journal.pone.0211274
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author Fung, Jollee S. T.
Akech, Samuel
Kissoon, Niranjan
Wiens, Matthew O.
English, Mike
Ansermino, J. Mark
author_facet Fung, Jollee S. T.
Akech, Samuel
Kissoon, Niranjan
Wiens, Matthew O.
English, Mike
Ansermino, J. Mark
author_sort Fung, Jollee S. T.
collection PubMed
description Sepsis is a life-threatening dysfunction of the immune system leading to multiorgan failure that is precipitated by infectious diseases and is a leading cause of death in children under 5 years of age. It is necessary to be able to identify a sick child at risk of developing sepsis at the earliest point of presentation to a healthcare facility so that appropriate care can be provided as soon as possible. Our study objective was to generate a list of consensus-driven predictor variables for the derivation of a prediction model that will be incorporated into a mobile device and operated by low-skilled healthcare workers at triage. By conducting a systematic literature review and examination of global guideline documents, a list of 72 initial candidate predictor variables was generated. A two-round modified Delphi process involving 26 experts from both resource-rich and resource-limited settings, who were also encouraged to suggest new variables, yielded a final list of 45 predictor variables after evaluating each variable based on three domains: predictive potential, measurement reliability, and level of training and resources required. The final list of predictor variables will be used to collect data and contribute to the derivation of a prediction model.
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spelling pubmed-63493302019-02-15 Determining predictors of sepsis at triage among children under 5 years of age in resource-limited settings: A modified Delphi process Fung, Jollee S. T. Akech, Samuel Kissoon, Niranjan Wiens, Matthew O. English, Mike Ansermino, J. Mark PLoS One Research Article Sepsis is a life-threatening dysfunction of the immune system leading to multiorgan failure that is precipitated by infectious diseases and is a leading cause of death in children under 5 years of age. It is necessary to be able to identify a sick child at risk of developing sepsis at the earliest point of presentation to a healthcare facility so that appropriate care can be provided as soon as possible. Our study objective was to generate a list of consensus-driven predictor variables for the derivation of a prediction model that will be incorporated into a mobile device and operated by low-skilled healthcare workers at triage. By conducting a systematic literature review and examination of global guideline documents, a list of 72 initial candidate predictor variables was generated. A two-round modified Delphi process involving 26 experts from both resource-rich and resource-limited settings, who were also encouraged to suggest new variables, yielded a final list of 45 predictor variables after evaluating each variable based on three domains: predictive potential, measurement reliability, and level of training and resources required. The final list of predictor variables will be used to collect data and contribute to the derivation of a prediction model. Public Library of Science 2019-01-28 /pmc/articles/PMC6349330/ /pubmed/30689660 http://dx.doi.org/10.1371/journal.pone.0211274 Text en © 2019 Fung et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fung, Jollee S. T.
Akech, Samuel
Kissoon, Niranjan
Wiens, Matthew O.
English, Mike
Ansermino, J. Mark
Determining predictors of sepsis at triage among children under 5 years of age in resource-limited settings: A modified Delphi process
title Determining predictors of sepsis at triage among children under 5 years of age in resource-limited settings: A modified Delphi process
title_full Determining predictors of sepsis at triage among children under 5 years of age in resource-limited settings: A modified Delphi process
title_fullStr Determining predictors of sepsis at triage among children under 5 years of age in resource-limited settings: A modified Delphi process
title_full_unstemmed Determining predictors of sepsis at triage among children under 5 years of age in resource-limited settings: A modified Delphi process
title_short Determining predictors of sepsis at triage among children under 5 years of age in resource-limited settings: A modified Delphi process
title_sort determining predictors of sepsis at triage among children under 5 years of age in resource-limited settings: a modified delphi process
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349330/
https://www.ncbi.nlm.nih.gov/pubmed/30689660
http://dx.doi.org/10.1371/journal.pone.0211274
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