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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.

Authors :
Fung, Jollee S. T.
Akech, Samuel
Kissoon, Niranjan
Wiens, Matthew O.
English, Mike
Ansermino, J. Mark
Source :
PLoS ONE; 1/28/2019, Vol. 14 Issue 1, p1-14, 14p
Publication Year :
2019

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
14
Issue :
1
Database :
Complementary Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
134315631
Full Text :
https://doi.org/10.1371/journal.pone.0211274