Using State Administrative Data to Identify Social Complexity Risk Factors for Children.

Autor: Arthur KC; Seattle Children's Research Institute, Seattle, Washington kimberly.arthur@seattlechildrens.org., Lucenko BA; Washington State Department of Social and Health Services, Division of Research and Data Analysis, Olympia, Washington., Sharkova IV; Washington State Department of Social and Health Services, Division of Research and Data Analysis, Olympia, Washington., Xing J; Washington State Department of Social and Health Services, Division of Research and Data Analysis, Olympia, Washington., Mangione-Smith R; Seattle Children's Research Institute, Seattle, Washington.; University of Washington Department of Pediatrics, Seattle, Washington.
Jazyk: angličtina
Zdroj: Annals of family medicine [Ann Fam Med] 2018 Jan; Vol. 16 (1), pp. 62-69.
DOI: 10.1370/afm.2134
Abstrakt: Purpose: Screening for social determinants of health is challenging but critically important for optimizing child health outcomes. We aimed to test the feasibility of using an integrated state agency administrative database to identify social complexity risk factors and examined their relationship to emergency department (ED) use.
Methods: We conducted a retrospective cohort study among children younger than 18 years with Washington State Medicaid insurance coverage (N = 505,367). We linked child and parent administrative data for this cohort to identify a set of social complexity risk factors, such as poverty and parent mental illness, that have either a known or hypothesized association with suboptimal health care use. Using multivariate analyses, we examined associations of each risk factor and of number of risk factors with the rate of ED use.
Results: Nine of 11 identifiable social complexity risk factors were associated with a higher rate of ED use. Additionally, the rate increased as the number of risk factors increased from 0 to 5 or more, reaching approximately twice the rate when 5 or more risk factors were present in children aged younger than 5 years (incidence rate ratio = 1.92; 95% CI, 1.85-2.00) and in children aged 5 to 17 years (incidence rate ratio = 2.06; 95% CI, 1.99-2.14).
Conclusions: State administrative data can be used to identify social complexity risk factors associated with higher rates of ED use among Medicaid-insured children. State agencies could give primary care medical homes a social risk flag or score to facilitate targeted screening and identification of needed resources, potentially preventing future unnecessary ED use in this vulnerable population of children.
Competing Interests: Conflicts of interest: authors report none.
(© 2018 Annals of Family Medicine, Inc.)
Databáze: MEDLINE
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