Abstract

The purpose of this study was to investigate to what extent selected adverse demographic, clinical, and psychosocial data measured at the 2-week well child visit could predict poorer reliability of mothers' judgments during acute illness episodes over the next 32 months. The study was a randomized trial of the Acute Illness Observation Scales (AIOS); 369 mothers participated, 183 in the intervention group using the Acute Illness Observation Scales and 186 in the control group using a three-point global assessment scale. There were 704 acute illnesses judged simultaneously and independently by mothers and pediatricians. Standard Pearson r correlations were performed between the independent variables, taken singly and in all possible combinations, and the dependent variable, reliability of mothers' judgments as measured by weighted kappa (kappa W). Group assignment was entered as an independent variable. Analyses were performed separately for all first, second, and third acute illness visits to control for any "practice effect" (analysis 1). To control for consistency of observers, the first, second, and third visits of mothers with three visits were also analyzed (analysis 2). Depending on the visit number, adverse demographic, clinical, and psychosocial characteristics did correlate with poorer reliability independent of group assignment. The correlations ranged from small (analysis 1, first visit, multiple variable r2 = 4%) to large (analysis 2, second visit, multiple variable r2 = 29%). Controlling for both visit number and consistency of observers vs visit number alone (analysis 2 vs analysis 1) increased multivariate correlations to kappa W. The results support the untoward impact that adverse demographic, clinical, and psychosocial factors have on mothers' clinical judgment. These data may assist pediatricians in identifying parents who might benefit from more intensive teaching and support about acute illness episodes in their children.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.