Evidence map›Paper›PMID 37925071›Full record

ArticleAcademic pediatrics

Impairment Types and Combinations Among Adolescents and Young Adults with Disabilities: Colorado 2014-2018.

Alyna T Chien, Sarah J Spence, Megumi J Okumura, Sifan Lu, Christina H Chan, Amy J Houtrow, Dennis Z Kuo, Jeanne M Van Cleave, Susan A Shanske, Mark A Schuster and 2 more

Abstract read
In one paragraph

Article in Academic pediatrics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Alyna T ChienDivision of General Pediatrics (AT Chien and SL Toomey), Boston Children's Hospital, Boston, Mass; Department of Pediatrics (AT Chien and SL Toomey), Harvard Medical School, Boston, Mass. Electronic address: alyna.chien@childrens.harvard.edu.
Sarah J SpenceDepartment of Neurology (SJ Spence), Boston Children's Hospital, Boston, Mass.
Megumi J OkumuraDivision of General Pediatrics (MJ Okumura), University of California San Francisco Benioff Children's Hospital.
Sifan LuCollege of Medicine, State University of New York-Downstate (S Lu), Brooklyn, NY.
Christina H ChanBiostatistics and Research Design Center (CH Chan), Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, Mass.
Amy J HoutrowDepartment of Physical Medicine and Rehabilitation (AJ Houtrow), University of Pittsburgh School of Medicine, Pittsburgh, Pa.
Dennis Z KuoDepartment of Pediatrics (DZ Kuo), University of Rochester School of Medicine and Dentistry, Rochester, NY.
Jeanne M Van CleaveDepartment of Pediatrics (JM Van Cleave), Anschutz School of Medicine, University of Colorado, Aurora, CO.
Susan A ShanskeDepartment of Social Work (SA Shanske), Boston Children's Hospital, Boston, Mass.
Mark A SchusterKaiser Permanent Bernard J. Tyson School of Medicine (MA Schuster), Pasadena, Calif.
Karen A KuhlthauCenter for Child and Adolescent Health Research and Policy (KA Kuhlthau), Department of General Pediatrics, Massachusetts General Hospital for Children, Boston, Mass.
Sara L ToomeyDivision of General Pediatrics (AT Chien and SL Toomey), Boston Children's Hospital, Boston, Mass; Department of Pediatrics (AT Chien and SL Toomey), Harvard Medical School, Boston, Mass.

Funding

Improving Child Health and Healthcare through Dissemination and Implementation of Pediatric Quality Measures: Adapting the Child Clinician and Group CAHPS Survey for Pediatric Telemedicine VisitsU18HS025299 · AHRQ · BOSTON CHILDREN'S HOSPITAL · PI TOOMEY, SARA LOUISE · 2016 to 2021
$3.4M
Healthcare Transitions and the Health of Adolescents and Young Adults with Intellectual or Developmental DisabilitiesR01HD103720 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI CHIEN, ALYNA TUNG-MEI · 2021 to 2025
$2.5M
AHRQ HHS U18 HS025299NICHD NIH HHS R01 HD103720
6 · The paper itself

Abstract

objectiveUnderstanding the types of functional challenges faced by adolescents and young adults with disabilities (AYA-WD) can help payers, clinicians, community-based service providers, and policymakers recognize and meet needs. This paper describes state-level prevalence rates for 1) AYA-WD overall and for 2) impairment types singly and in combinations; and 3) examines how rates may differ between those insured by Medicaid versus commercial insurance.

methodsThis descriptive study uses Colorado's All Payer Claims Dataset 2014-2018 to identify insured 10- to 26-year-olds (Medicaid only: 333,931; commercially only: 392,444). It then applies the previously validated Children with Disabilities Algorithm (CWDA) and its companion, the Diagnosis-to-Impairment-Type Algorithm (DITA), to compare state-level prevalence rates by insurance source for disability overall and for each of five impairment types singly and in combination.

resultsDisability prevalence was greater among the Medicaid-insured AYA-WD by +7.6% points (pp)-Medicaid: 11.9% (47,654/333,931), commercial: 4.3% (16,907/392,444). Most AYA-WD had a single impairment, but the prevalence of AYA-WD with two or more impairments was greater among the Medicaid-insured than the commercially insured (+9.9 pp; Medicaid: 33.5% [15,963/47,654], commercial: 23.7% [3992/16, 907]), as was the prevalence of impairment types that were physical (+6.7 pp; Medicaid: 54.7% [26,054/47,654], commercial: 48.0% [8121/16,907]); developmental (+4.1 pp; Medicaid: 35.4% [16,874/47,654], commercial: 31.3% [5290/16,907]); psychiatric (+6.7 pp; Medicaid 21.3% [10,175/47,654], commercial: 14.6% [2470/16,907]), and intellectual (+9.3 pp; Medicaid: 26.2% [12,501/47,654], commercial: 16.9% [2858/16,907]).

conclusionsCWDA and DITA can be used to understand the rates at which impairment types and combinations occur in a population with childhood-onset disabilities.

Indexed as

MedicaidPersons with DisabilitiesAdolescentAdultChildChildren with DisabilitiesColoradoFemaleHumansInsurance, HealthIntellectual DisabilityMalePrevalenceUnited StatesYoung Adultalgorithmchronic conditionsclaimsdisabilitiesmedical complexity

Identifiers

PMID37925071
PMCPMC11056312

What OpenQuestion holds

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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.