Development and Validation of a Method to Identify Children With Social Complexity Risk Factors

We sought to develop and validate a method to identify social complexity risk factors (eg, limited English proficiency) using Minnesota state administrative data. A secondary objective was to examine the relationship between social complexity and caregiver-reported need for care coordination. A tota...

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Bibliographic Details
Published in:Pediatrics (Evanston) 2016-09, Vol.138 (3), p.1
Main Authors: Schrager, Sheree M, Arthur, Kimberly C, Nelson, Justine, Edwards, Anne R, Murphy, J Michael, Mangione-Smith, Rita, Chen, Alex Y
Format: Article
Language:English
Subjects:
Adolescent
Analysis
Caregivers
Caregivers - psychology
Child
Child care
Child Health Services
Child Welfare
Child, Preschool
Children & youth
Children's social skills
Chronic Disease - therapy
Continuity of Patient Care
Correlation analysis
Demographics
Female
Health Care Surveys
Health Status Indicators
Homeless Youth
Humans
Infant
Infant, Newborn
Integrative complexity (Psychology)
Language
Logistic Models
Male
Minnesota
Patient Care Planning
Pediatrics
Practice
Public health
Risk Assessment
Risk Factors
Social skills in children
Socioeconomic Factors
Vulnerable Populations
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Summary:We sought to develop and validate a method to identify social complexity risk factors (eg, limited English proficiency) using Minnesota state administrative data. A secondary objective was to examine the relationship between social complexity and caregiver-reported need for care coordination. A total of 460 caregivers of children with noncomplex chronic conditions enrolled in a Minnesota public health care program were surveyed and administrative data on these caregivers and children were obtained. We validated the administrative measures by examining their concordance with caregiver-reported indicators of social complexity risk factors using tetrachoric correlations. Logistic regression analyses subsequently assessed the association between social complexity risk factors identified using Minnesota's state administrative data and caregiver-reported need for care coordination, adjusting for child demographics. Concordance between administrative and caregiver-reported data was moderate to high (correlation range 0.31-0.94, all P values
ISSN:0031-4005
1098-4275
DOI:10.1542/peds.2015-3787