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Impairment Types and Combinations Among Adolescents and Young Adults with Disabilities: Colorado 2014-2018.
Chien, Alyna T; Spence, Sarah J; Okumura, Megumi J; Lu, Sifan; Chan, Christina H; Houtrow, Amy J; Kuo, Dennis Z; Van Cleave, Jeanne M; Shanske, Susan A; Schuster, Mark A; Kuhlthau, Karen A; Toomey, Sara L.
  • Chien AT; Division 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.
  • Spence SJ; Department of Neurology (SJ Spence), Boston Children's Hospital, Boston, Mass.
  • Okumura MJ; Division of General Pediatrics (MJ Okumura), University of California San Francisco Benioff Children's Hospital.
  • Lu S; College of Medicine, State University of New York-Downstate (S Lu), Brooklyn, NY.
  • Chan CH; Biostatistics and Research Design Center (CH Chan), Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, Mass.
  • Houtrow AJ; Department of Physical Medicine and Rehabilitation (AJ Houtrow), University of Pittsburgh School of Medicine, Pittsburgh, Pa.
  • Kuo DZ; Department of Pediatrics (DZ Kuo), University of Rochester School of Medicine and Dentistry, Rochester, NY.
  • Van Cleave JM; Department of Pediatrics (JM Van Cleave), Anschutz School of Medicine, University of Colorado, Aurora, CO.
  • Shanske SA; Department of Social Work (SA Shanske), Boston Children's Hospital, Boston, Mass.
  • Schuster MA; Kaiser Permanent Bernard J. Tyson School of Medicine (MA Schuster), Pasadena, Calif.
  • Kuhlthau KA; Center for Child and Adolescent Health Research and Policy (KA Kuhlthau), Department of General Pediatrics, Massachusetts General Hospital for Children, Boston, Mass.
  • Toomey SL; Division 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.
Acad Pediatr ; 2023 Nov 02.
Article en En | MEDLINE | ID: mdl-37925071
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.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article