Development and Validation of a Method to Identify Children With Social Complexity Risk Factors
| Autor: | Justine Nelson, J. Michael Murphy, Anne R. Edwards, Kimberly C. Arthur, Alex Y. Chen, Rita Mangione-Smith, Sheree M. Schrager |
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| Rok vydání: | 2016 |
| Předmět: |
Male
Gerontology Adolescent Minnesota Concordance Child Health Services Child Welfare Poison control Logistic regression Risk Assessment Vulnerable Populations Patient Care Planning Occupational safety and health Homeless Youth 03 medical and health sciences 0302 clinical medicine Risk Factors 030225 pediatrics Health Status Indicators Humans Medicine 030212 general & internal medicine Child Language business.industry Infant Newborn Infant Human factors and ergonomics Social complexity Continuity of Patient Care medicine.disease Logistic Models Caregivers Socioeconomic Factors Child Preschool Health Care Surveys Limited English proficiency Chronic Disease Pediatrics Perinatology and Child Health Female Medical emergency Risk assessment business |
| Zdroj: | Pediatrics. 138 |
| ISSN: | 1098-4275 0031-4005 |
| Popis: | OBJECTIVES: 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. METHODS: 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. RESULTS: Concordance between administrative and caregiver-reported data was moderate to high (correlation range 0.31–0.94, all P values CONCLUSIONS: Social complexity risk factors may be accurately obtained from state administrative data. The presence of these risk factors may heighten a family’s need for care coordination and/or other services for children with chronic illness, even those not considered medically complex. |
| Databáze: | OpenAIRE |
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