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

Jollee S T Fung, Samuel Akech, Niranjan Kissoon, Matthew O Wiens, Mike English and J Mark Ansermino

PLOS ONE, 2019, vol. 14, issue 1, 1-14

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.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0211274

DOI: 10.1371/journal.pone.0211274

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