Development of a diarrhoea severity scoring scale in a passive health facility-based surveillance system

Denise T St Jean1, Obvious N Chilyabanyama2, Samuel Bosomprah2,3

  • 1Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.

Plos One
|August 15, 2022
PubMed

Insights

A new in-house diarrhea severity score (CIDRZ) performed well in predicting severe cases in children in Lusaka, Zambia. This tool showed substantial reliability, comparable to the DHAKA score, for community-based studies.

Area of Science:

  • Pediatrics
  • Infectious Diseases
  • Public Health

Background:

  • Diarrheal disease is a major cause of child mortality in low- and middle-income countries.
  • Accurate severity scoring tools are needed for community-based studies of childhood diarrhea.
  • Existing tools lack consensus for field use.

Purpose of the Study:

  • To evaluate the performance of an in-house diarrhea severity scoring tool (CIDRZ) against established scores.
  • To identify the most effective tool for predicting severe diarrhea in children in Lusaka, Zambia.
  • To assess the reliability and agreement of different diarrhea severity scores.

Main Methods:

  • Passive surveillance data from 110 diarrhea episodes in Lusaka, Zambia (March-July 2019).
  • Severity assessed using CIDRZ, Vesikari, Clark, CODA, and DHAKA scores.
  • Precision-recall curves used to identify best predictors of severe diarrhea (requiring IV rehydration or hospital admission).
  • Cronbach's alpha and Cohen's kappa assessed reliability and agreement.

Main Results:

  • 3% of diarrhea episodes required intravenous rehydration or hospital admission.
  • CIDRZ and DHAKA scores demonstrated the highest predictive performance (AUC 0.59).
  • The CIDRZ scale showed substantial reliability and comparable performance to the DHAKA score.

Conclusions:

  • Diarrhea severity scores focusing on dehydration status may be more effective in predicting severe cases in Lusaka.
  • Aetiology-specific scoring tools may be unsuitable for community healthcare settings.
  • Further validation of the CIDRZ score in diverse settings and larger populations is recommended.
Abstract

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