Evidence map›Paper›PMID 40045729›Full record

SynthesisAutism research : official journal of the International Society for Autism Research2025

Building Capacity: A Systematic Review of Training in the Diagnosis of Autism for Community-Based Clinicians.

Jessica V Smith, Mya Howard, Michelle Menezes, Christina Burroughs, Jessica Pappagianopoulos, Vibha Sastri, Sophie Brunt, Ryan Miller, Anzhelika Parenchuk, Jocelyn Kuhn and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in Autism research : official journal of the International Society for Autism Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Jessica V SmithDepartment of Human Services, School of Education and Human Development, University of Virginia, Charlottesville, Virginia, USA.ORCID 0009-0002-4097-0653
Mya HowardDepartment of Human Services, School of Education and Human Development, University of Virginia, Charlottesville, Virginia, USA.ORCID 0009-0007-5951-5008
Michelle MenezesChild Study Center, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-0155-8367
Christina BurroughsNashville Neuropsychology & Family Services, Nashville, Tennessee, USA.
Jessica PappagianopoulosDepartment of Human Services, School of Education and Human Development, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0003-1395-1625
Vibha SastriSchool of Medicine, University of Virginia, Charlottesville, Virginia, USA.
Sophie BruntDepartment of Human Services, School of Education and Human Development, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0001-7961-4424
Ryan MillerDepartment of Human Services, School of Education and Human Development, University of Virginia, Charlottesville, Virginia, USA.
Anzhelika ParenchukDepartment of Human Services, School of Education and Human Development, University of Virginia, Charlottesville, Virginia, USA.
Jocelyn KuhnEmory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0001-7349-664X
Micah O MazurekDepartment of Human Services, School of Education and Human Development, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0001-7715-6538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an effort to reduce the "waitlist crisis," researchers have developed training programs to educate community-based clinicians in best-practice autism diagnostic assessments. This systematic review aims to synthesize the effectiveness and implementation outcomes of such trainings. The following databases were searched from inception until August 2023: PubMed, Web of Science, APA PsycINFO, CINAHL, ERIC, and a select number from Google Scholar. Ten studies were included in the present review because they met the following criteria: development and/or evaluation of a training for practicing community-based clinicians to diagnose autism, published full-text in English, and original research. Risk of bias was assessed through an adapted NIH quality assessment tool. Only seven distinct training programs in autism diagnosis for practicing community-based clinicians were identified. Trainings demonstrated preliminary efficacy in the improvement of clinician knowledge, self-efficacy, practice behavior, and diagnostic accuracy. Many of the trainings had a reported positive impact on the community and were feasible to participate in; however, systems-level factors (e.g., time and reimbursement) remain as barriers to community-based diagnosis. Findings from the present review position clinician training as a promising strategy to increase families' timely access to an autism diagnosis. More research on training models is needed due to both the limited number of trainings and the limited reported effectiveness and implementation outcomes. Future implementation studies are also needed to reduce systems-level barriers and to aid in the determination of what trainings best fit the needs of different contexts.

Indexed as

Autistic DisorderCapacity BuildingHealth PersonnelClinical CompetenceHumansautism diagnosiscapacity‐buildingclinician trainingdiagnostic trainingsystematic review

Identifiers

PMID40045729
PMCPMC12015801

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.