Evidence map›Paper›PMID 36108999›Full record

ArticleAcademic pediatrics2023

Using Claims Data to Map Unmet Service Needs for Early Childhood Developmental Disabilities in Virginia.

Bergen B Nelson, Daniel Ratushnyak, Alicia Richards, Roy T Sabo, Elizabeth R Wolf, Alex H Krist

Abstract read
In one paragraph

Article in Academic pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Bergen B NelsonChildren's Hospital of Richmond at VCU (BB Nelson and ER Wolf), Richmond, Va; Department of Pediatrics, Virginia Commonwealth University (BB Nelson and ER Wolf), Richmond, Va. Electronic address: bergen.nelson@vcuhealth.org.
Daniel RatushnyakSchool of Medicine, Virginia Commonwealth University (D Ratushnyak), Richmond, Va.
Alicia RichardsDepartment of Biostatistics, Virginia Commonwealth University (A Richards and RT Sabo), Richmond, Va; Department of Family Medicine and Population Health, Virginia Commonwealth University (A Richards, RT Sabo, and AH Krist), Richmond, Va.
Roy T SaboDepartment of Biostatistics, Virginia Commonwealth University (A Richards and RT Sabo), Richmond, Va; Department of Family Medicine and Population Health, Virginia Commonwealth University (A Richards, RT Sabo, and AH Krist), Richmond, Va.
Elizabeth R WolfChildren's Hospital of Richmond at VCU (BB Nelson and ER Wolf), Richmond, Va; Department of Pediatrics, Virginia Commonwealth University (BB Nelson and ER Wolf), Richmond, Va.
Alex H KristDepartment of Family Medicine and Population Health, Virginia Commonwealth University (A Richards, RT Sabo, and AH Krist), Richmond, Va.

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
NCATS NIH HHS UL1 TR002649
6 · The paper itself

Abstract

backgroundDevelopmental disabilities (DD) affect over 10% of children 0 to 5 years of age, and early interventions are known to improve outcomes, yet barriers remain in connecting children to these services.

objectiveTo identify gaps in services for young children with DD and established risk conditions in Virginia.

methodsData from the 2018 Virginia All Payers Claim Database and the American Community Survey were used to estimate the proportion of children with DD, and among those children, the proportion that received at least one intervention service. Logistic and binomial regression models were used to examine the socio-demographic associations with having developmental needs met, at the individual and zip code tabulation (ZCTA) level.

resultsApproximately 12% of children 0 to 5 years were found to have DD or established risk condition diagnosis, and only 54% of these received intervention services during that year. Individual-level analyses suggest that odds of having developmental needs met are higher among older children, boys, and children with public insurance. ZCTA-level analyses suggested higher odds of developmental needs being met in areas with higher levels of unemployment, while areas with high proportions of people with limited English proficiency and a high school education or less had lower odds of having needs met.

conclusionsReceiving early childhood developmental services in Virginia is associated with having public insurance and living in an area with higher levels of unemployment, higher education, and English-proficiency. Efforts are needed to improve delivery of services overall, specifically targeted to those areas with high levels of unmet need.

Indexed as

Developmental DisabilitiesEarly Intervention, EducationalAdolescentChildChild, PreschoolHealth Services Needs and DemandHumansMaleVirginiadevelopmental disabilitiesearly childhoodearly intervention

Identifiers

PMID36108999
PMCPMC10008751

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Registered trials

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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.