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A Scoring System to Quantify Illness in Babies Under 6 Months of Age

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  • T. J. Cole
  • C. J. Morley
  • A. J. Thornton
  • M. A. Fowler
  • P. H. Hewson

Abstract

Ordinal logistic regression analysis was used on a sample of 1007 babies under 6 months of age seen at home and in hospital to identify the symptoms and signs of serious illness. A model with seven symptoms and 12 signs was used as the basis for a scoring system where each symptom and sign was assigned an integer score proportional to its regression coefficient. A baby's illness score was then the sum of scores for any signs or symptoms that were present, asymptomatic babies scoring 0. The scoring system gave a sensitivity (score 13 or more) of 92.1%, specificity (score less than 8) of 98.3% and positive predictive value (score 20 or more) of 98.0% when applied to a notional community sample. The system has been made into a score card called Baby Check, designed for use by parents and health professionals to quantify the severity of a baby's illness. Baby Check indicates when the baby's condition warrants further assessment or treatment.

Suggested Citation

  • T. J. Cole & C. J. Morley & A. J. Thornton & M. A. Fowler & P. H. Hewson, 1991. "A Scoring System to Quantify Illness in Babies Under 6 Months of Age," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 154(2), pages 287-304, March.
    • Handle: RePEc:bla:jorssa:v:154:y:1991:i:2:p:287-304
    DOI: 10.2307/2983042
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    Cited by:

    1. Martine AUDIBERT, 2009. "Issues and Challenges of Measurement of Health:Implications for Economic Research," Working Papers 200922, CERDI.

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