Evidence map›Paper›PMID 42318356›Full record

ArticleFrontiers in child and adolescent psychiatry2026

The therapeutic engagement index in autism: a hypothesis-generating framework for stratifying intervention responsiveness and adaptive therapeutic availability.

Yves Fuamba

Abstract read
In one paragraph

Article in Frontiers in child and adolescent psychiatry, 2026. 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

1 author.

Yves FuambaDepartment of Autism Research, Antibiostress Clinics, Gloucester ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism spectrum disorder is characterized by substantial heterogeneity in developmental trajectories, learning profiles, therapeutic participation, and response to intervention. Although intervention type, intensity, timing, fidelity, and baseline developmental profile are important predictors of outcome, they do not fully explain why autistic children exposed to broadly comparable interventions may show markedly different patterns of participation, learning, generalization, and adaptive change. TEI is defined as a multidimensional, context-sensitive, and observable construct describing the degree to which an autistic child can access, tolerate, respond to, sustain, and generalize therapeutic input within a specific intervention context. TEI is not intended to replace established constructs such as treatment engagement, therapeutic alliance, readiness, motivation, compliance, participation, developmental readiness, or treatment response. The manuscript clarifies the conceptual novelty of TEI, distinguishes it from related constructs, proposes candidate observable domains and indicators, outlines testable hypotheses, specifies boundary conditions, and provides a staged validation roadmap. TEI is not presented as a validated scale, clinical decision tool, diagnostic measure, compliance metric, or indicator of child responsibility for treatment outcome. Rather, it is proposed as a research framework for identifying modifiable conditions of therapeutic accessibility, including regulation, support fit, relational access, context, intervention demands, and developmental state.

Indexed as

autism spectrum disorderconstruct validationdevelopmental readinessintervention responsivenesstherapeutic alliancetherapeutic engagementtranslational frameworktreatment heterogeneity

Identifiers

PMID42318356
PMCPMC13272497

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.