Evidence map›Paper›PMID 41347069›Full record

ArticleFocus on autism and other developmental disabilities2025

Autism Screening in High-Likelihood Children in a Community Early Intervention Setting: A Hybrid Effectiveness-Implementation Study.

Georgina Perez Liz, Diana Thao, Katelyn Reeb, Ilene Goy MEd, Erin McCurdy, Michael Yudell, Diana L Robins

Abstract read
In one paragraph

Article in Focus on autism and other developmental disabilities, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Georgina Perez LizDrexel University, Philadelphia, PA, USA.ORCID 0000-0001-5304-0442
Diana ThaoDrexel University, Philadelphia, PA, USA.
Katelyn ReebDrexel University, Philadelphia, PA, USA.
Ilene Goy MEdElwyn, Philadelphia, PA, USA.ORCID 0009-0008-0275-9957
Erin McCurdyElwyn, Philadelphia, PA, USA.
Michael YudellDrexel University, Philadelphia, PA, USA.
Diana L RobinsDrexel University, Philadelphia, PA, USA.ORCID 0000-0002-7791-7031

Funding

Implementation of ASD screening in a community setting serving high-risk preschool childrenR03HD090365 · NICHD · DREXEL UNIVERSITY · PI ROBINS, DIANA L · 2017 to 2018
$157k
NICHD NIH HHS R03 HD090365
6 · The paper itself

Abstract

Identification of likelihood for autism in the U.S. early intervention (EI) system facilitates referrals to diagnostic assessments and targets autism-specific needs. However, performance of autism screeners in high-likelihood preschool children and barriers to implementation need to be further studied. The current effectiveness-implementation hybrid type 1 study examined the impact of administering the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F) in a sample of preschool children during the EI intake phone call. Data from 2,661 educational records showed that 42.8% of them received the M-CHAT-R. Only 14.0% of the screen-positive children completing the process to determine eligibility for EI services were referred for an autism-specific evaluation. Most of these (94.8%), regardless of screener status, received an autism diagnosis, suggesting that referrals are based on clinical judgment. Training and incorporation to current protocols within agencies are necessary to introduce a screening tool and support implementation fidelity and effective autism detection.

Indexed as

autismautism screeningcommunity settingearly interventioneffectiveness-implementationM-CHAT-R/F

Identifiers

PMID41347069
PMCPMC12674614

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.