Evidence map›Paper›PMID 39262631›Full record

ReviewNeuropsychiatric disease and treatment2024

The Face of Autism in Israel.

Sara Ferman, Osnat Segal

Abstract readReview
In one paragraph

Review in Neuropsychiatric disease and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Sara Ferman *Department of Communication Disorders, Faculty of Medicine, Tel-Aviv University, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel.
Osnat Segal *Department of Communication Disorders, Faculty of Medicine, Tel-Aviv University, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article seeks to offer a comprehensive perspective on autism in Israel, aligning with global reports. It aims to serve as a foundational resource for policymakers in developing relevant support and point to unmet needs. The data was drawn from publications by Israeli government authorities and academic publications. In 2022, the prevalence of child and adolescent autism in Israel was approximately 1.13%, with a male-to-female ratio of 4:1, and an annual increase of 23%, particularly among young children. In Israel, the diagnosis of autism follows the DSM-5 guidelines and is conducted by a physician and a psychologist specializing in autism. Typically, diagnosis is at age 2. The autism intervention approaches prevalent in Israel are consistent with those that are globally accepted. Children with autism are entitled to special education services adapted to their needs and developmental levels. The legally established package of services for children with autism includes sessions with occupational therapists, speech-language pathologists (SLPs), physical therapists, psychologists, and social workers. Children and adults with autism are eligible for disability allowance along with support regarding residence, educational programs, and employment opportunities. Nonetheless, underdiagnosis and low accessibility to services are common in minority populations and rural areas. Furthermore, in recent years, services for autistic individuals have declined. This decline, particularly considering the ongoing rise in the prevalence of autism, pose significant challenges for Israeli government authorities in ensuring that autistic persons receive appropriate support.

Indexed as

autismeducationprevalencesectoral disparitiesservices

Identifiers

PMID39262631
PMCPMC11389695

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.