Premium
A Scoring System to Quantify Illness in Babies Under 6 Months of Age
Author(s) -
Cole T. J.,
Morley C. J.,
Thornton A. J.,
Fowler M. A.,
Hewson P. H.
Publication year - 1991
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.2307/2983042
Subject(s) - pediatrics , medicine , scoring system , surgery
SUMMARY 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.