Pediatrics · 2016
Development and Validation of a Method to Identify Children With Social Complexity Risk Factors.
СтатьяВалидационное исследованиеНазвание и аннотация: Перевод в очереди
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Schrager Sheree M, Arthur Kimberly C, Nelson Justine, Edwards Anne R, Murphy J Michael, Mangione-Smith Rita, Chen Alex Y
Аннотация
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 <.01), with only current homelessness (r = -0.01, P = .95) failing to align significantly between the data sources. The presence of any social complexity risk factor was significantly associated with need for care coordination before (unadjusted odds ratio = 1.65; 95% confidence interval, 1.07-2.53) but not after adjusting for child demographic factors (adjusted odds ratio = 1.53; 95% confidence interval, 0.98-2.37).
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.
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 <.01), with only current homelessness (r = -0.01, P = .95) failing to align significantly between the data sources. The presence of any social complexity risk factor was significantly associated with need for care coordination before (unadjusted odds ratio = 1.65; 95% confidence interval, 1.07-2.53) but not after adjusting for child demographic factors (adjusted odds ratio = 1.53; 95% confidence interval, 0.98-2.37).
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.
Предметные рубрики MeSH
AdolescentCaregiversChildChild Health ServicesChild WelfareChild, PreschoolChronic DiseaseContinuity of Patient CareFemaleHealth Care SurveysHealth Status IndicatorsHomeless YouthHumansInfantInfant, NewbornLanguageLogistic ModelsMaleMinnesotaPatient Care PlanningRisk AssessmentRisk FactorsSocioeconomic FactorsVulnerable Populations