A Scoring System to Quantify Illness in Babies under 6 Months of Age
| Autor: | Colin J Morley, M A Fowler, Tim J Cole, A J Thornton, P H Hewson |
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| Rok vydání: | 1991 |
| Předmět: |
Statistics and Probability
Economics and Econometrics Pediatrics medicine.medical_specialty Scoring system Health professionals Regression analysis Disease Predictive value Asymptomatic Statistics medicine Ordered logit Statistics Probability and Uncertainty medicine.symptom Social Sciences (miscellaneous) |
| Zdroj: | Journal of the Royal Statistical Society. Series A (Statistics in Society). 154:287 |
| ISSN: | 0964-1998 |
| DOI: | 10.2307/2983042 |
| Popis: | 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 No, specificity (score less than 8) of 98.3 o and positive predictive value (score 20 or more) of 98.0/o 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. |
| Databáze: | OpenAIRE |
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