 A Scoring System to Quantify Illness in Babies Under 6 Months of AgeT. J. Cole, C. J. Morley, A. J. Thornton, M. A. Fowler and P. H. Hewson Journal of the Royal Statistical Society Series A, 1991, vol. 154, issue 2, 287-304 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. Date: 1991 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssa:v:154:y:1991:i:2:p:287-304 Ordering information: This journal article can be ordered from Access Statistics for this article Journal of the Royal Statistical Society Series A is currently edited by A. Chevalier and L. Sharples More articles in Journal of the Royal Statistical Society Series A from Royal Statistical Society Contact information at EDIRC. |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.