Evidence map›Paper›PMID 34632834›Full record

ArticleMedical care research and review : MCRR2022

Medicaid Disruption Among Transition-Age Youth on the Autism Spectrum.

Lindsay Shea, Sha Tao, Steven C Marcus, David Mandell, Andrew J Epstein

Open access · greenAbstract read
In one paragraph

Article in Medical care research and review : MCRR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Therapy and Antidepressant Use in 8- to 29-Year-Old Autistic Medicaid Enrollees With Depression.Autism : the international journal of research and practice · 2026
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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 2 institutions in 1 country.

Lindsay SheaDrexel University, Philadelphia, PA, USA.ORCID 0000-0003-0610-0355
Sha TaoDrexel University, Philadelphia, PA, USA.
Steven C MarcusUniversity of Pennsylvania, Philadelphia, USA.
David MandellUniversity of Pennsylvania, Philadelphia, USA.
Andrew J EpsteinMedicus Economics, Milton, MA, USA.
Drexel University · USUniversity of Pennsylvania · US

Funding

Identifying Co-Occurrence and Service Use Profiles of Alzheimer's Disease and Autism Spectrum DisorderR01MH117653 · NIMH · DREXEL UNIVERSITY · PI SHEA, LINDSAY LAWER · 2018 to 2021
$2.1M
NIMH NIH HHS R01 MH117653
6 · The paper itself

Abstract

Enrollment in Medicaid facilitates access to needed services among transition-age youth on the autism spectrum and youth with intellectual disability (ID). There are long-standing programs to ensure that individuals with ID remain enrolled as they age; similar programs for autistic youth are newer, not as widespread, and may not be as effective. We compared Medicaid disenrollment and re-enrollment between transition-age youth on the autism spectrum, youth with ID, and youth with both diagnoses using a national claims-based prospective cohort study from 2008 through 2012. Autistic youth were most likely to disenroll and least likely to re-enroll. Disenrollment peaked for all three groups at ages 19 and 21. Transition-age youth on the autism spectrum experience more disruptions in access to Medicaid-reimbursed services than youth with ID. More equitable Medicaid enrollment options for autistic individuals are needed to ensure their access to critical health care as they age.

Indexed as

Autistic DisorderMedicaidAdolescentAdultHumansProspective StudiesUnited StatesYoung Adultautismenrollmenthealth policyMedicaidunderserved populations

Identifiers

PMID34632834
PMCPMC10775849
OpenAlexW3206780843

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.