Evidence map›Paper›PMID 34816340›Full record

ArticleJournal of autism and developmental disorders2022

Health Care Utilization for Privately and Publicly Insured Children During Autism Insurance Reform.

Wanqing Zhang, Kelsey L Thompson, Linda R Watson, Doré R LaForett

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of autism and developmental disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Wanqing ZhangDepartment of Allied Health Sciences, School of Medicine, University of North Carolina at Chapel Hill, 321 S. Columbia Street, Chapel Hill, NC, 27599-7122, USA. wanqing_zhang@med.unc.edu.ORCID http://orcid.org/0000-0003-0291-4925
Kelsey L ThompsonDepartment of Allied Health Sciences, School of Medicine, University of North Carolina at Chapel Hill, 321 S. Columbia Street, Chapel Hill, NC, 27599-7122, USA.
Linda R WatsonDepartment of Allied Health Sciences, School of Medicine, University of North Carolina at Chapel Hill, 321 S. Columbia Street, Chapel Hill, NC, 27599-7122, USA.
Doré R LaForettFrank Porter Graham Child Development Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill · US

Funding

HRSA HHS R41MC39339
6 · The paper itself

Abstract

We examined the effects of insurance type on health service utilization among children with autism spectrum disorder (ASD) following autism insurance reform by analyzing the most recent data from the 2019 National Survey of Children's Health. Families with private insurance were less likely to report that their health insurance covered needed services compared to families with public insurance. Privately versus publicly insured children were not significantly different in receiving behavioral or medication treatment, or in parental frustration in efforts to obtain services. However, parents' frustration escalated with increased ASD severity. Findings from this study suggest the need for continuing to improve implementation of health insurance reform legislation and providing adequate ASD-related services for children with private insurance.

Indexed as

Autism Spectrum DisorderAutistic DisorderChildHealth Services AccessibilityHumansInsurance CoverageInsurance, HealthMedicaidPatient Acceptance of Health CareUnited StatesAutism insurance reformAutism spectrum disorder (ASD)Insurance typePrivately insured childrenUtilization of health services

Identifiers

PMID34816340
OpenAlexW3217489971

What OpenQuestion holds

Textmetadata
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.