Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783390257161437184 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6349330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT fungjolleest determiningpredictorsofsepsisattriageamongchildrenunder5yearsofageinresourcelimitedsettingsamodifieddelphiprocess AT akechsamuel determiningpredictorsofsepsisattriageamongchildrenunder5yearsofageinresourcelimitedsettingsamodifieddelphiprocess AT kissoonniranjan determiningpredictorsofsepsisattriageamongchildrenunder5yearsofageinresourcelimitedsettingsamodifieddelphiprocess AT wiensmatthewo determiningpredictorsofsepsisattriageamongchildrenunder5yearsofageinresourcelimitedsettingsamodifieddelphiprocess AT englishmike determiningpredictorsofsepsisattriageamongchildrenunder5yearsofageinresourcelimitedsettingsamodifieddelphiprocess AT anserminojmark determiningpredictorsofsepsisattriageamongchildrenunder5yearsofageinresourcelimitedsettingsamodifieddelphiprocess |