Evidence map›Paper›PMID 29311178›Full record

ArticleAnnals of family medicine2018

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

Kimberly C Arthur, Barbara A Lucenko, Irina V Sharkova, Jingping Xing, Rita Mangione-Smith

Open access · diamondAbstract read
In one paragraph

Article in Annals of family medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
11.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Kimberly C ArthurSeattle Children's Research Institute, Seattle, Washington kimberly.arthur@seattlechildrens.org.
Barbara A LucenkoWashington State Department of Social and Health Services, Division of Research and Data Analysis, Olympia, Washington.
Irina V SharkovaWashington State Department of Social and Health Services, Division of Research and Data Analysis, Olympia, Washington.
Jingping XingWashington State Department of Social and Health Services, Division of Research and Data Analysis, Olympia, Washington.
Rita Mangione-SmithSeattle Children's Research Institute, Seattle, Washington.
Washington Department of Social and Health Services · USUnited States Department of State · USUniversity of Washington · US

Funding

Center of Excellence on Quality of Care Measures for Children with Complex NeedsU18HS020506 · AHRQ · SEATTLE CHILDREN'S HOSPITAL · PI MANGIONE-SMITH, RITA · 2011 to 2014
$7.9M
AHRQ HHS U18 HS020506
6 · The paper itself

Abstract

purposeScreening 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.

methodsWe 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.

resultsNine 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).

conclusionsState 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.

Indexed as

Social Determinants of HealthAdolescentChildChild, PreschoolEmergency Service, HospitalFemaleHealth Services AccessibilityHumansInfantInsurance CoverageMaleMedicaidMultivariate AnalysisPrimary Health CareRegression AnalysisRetrospective Studiesaccessadverse childhood experiencesand evaluationhealth care qualityprimary caresocial determinants of healthvulnerable populations

Identifiers

PMID29311178
PMCPMC5758323
OpenAlexW2783612039

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.