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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
  • , Karen A. Kuhlthau
  • , Sara L. Toomey
  • Boston Children's Hospital
  • Harvard University
  • University of California at San Francisco
  • SUNY Downstate Health Sciences University
  • University of Pittsburgh
  • University of Colorado Anschutz Medical Campus
  • Kaiser Permanente
  • Massachusetts General Hospital

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Objective: Understanding 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. Methods: This 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. Results: Disability 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]). Conclusions: CWDA and DITA can be used to understand the rates at which impairment types and combinations occur in a population with childhood-onset disabilities.

Original languageEnglish
Pages (from-to)587-595
Number of pages9
JournalAcademic Pediatrics
Volume24
Issue number4
DOIs
StatePublished - May 1 2024

Keywords

  • algorithm
  • chronic conditions
  • claims
  • disabilities
  • medical complexity

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