The construction of a scored neonatal neurological examination for assessment of neurological integrity in full-term neonates.
We describe the construction of a scored form for the neurological examination of the full-term neonate. Extensive data analyses were obtained from a large sample of neonatal neurological examinations performed by one examiner (MSP). Examinations were used from neonates with ages less than or equal to 48 hours (n = 727) and 72 hours to 1 week (n = 510) with gestational ages greater than or equal to 37 weeks. Forty-four items from several neonatal assessments were used in these neurological examinations. Further subdivision yielded a total of 65 items. Correlations were obtained for the 65 items. We factored the matrix of these correlations, using several solutions of factor analysis. Thirty-two items were thus grouped and pruned into seven dimensions (factors) to provide a scorable neonatal neurological examination (Neoneuro) with an internal consistency or reliability of 0.80. From the total scores, cut points are recommended for categories of normality/abnormality: normal, mildly abnormal, moderately abnormal, and severely abnormal. This scoring system is well-based both theoretically and psychometrically. The quantified computer-compatible scoring system permits evaluation of individual neonates, as well as comparison of samples of neonates on item scores, subscores (factor scores), and total scores. Such quantification will permit documentation of the natural history of specific abnormalities and the evaluation of various therapies.
Sheridan-Pereira
M
M
Department of Neonatology, Coombe Lying-In Hospital, Dublin, Ireland.
Ellison
P H
PH
Helgeson
V
V
D001925:Brain Damage, Chronic / Q000175:diagnosis; D003627:Data Interpretation, Statistical; D005163:Factor Analysis, Statistical; D006801:Humans; D007231:Infant, Newborn; D007232:Infant, Newborn, Diseases / Q000175:diagnosis*; D009422:Nervous System Diseases / Q000175:diagnosis*; D009460:Neurologic Examination / Q000379:methods* / Q000706:statistics & numerical data; D012021:Reflex, Abnormal