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Record W3027984309 · doi:10.1177/1362361320918754

Considering efficacy and effectiveness trials of cognitive behavioral therapy among youth with autism: A systematic review

2020· review· en· W3027984309 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAutism · 2020
Typereview
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsYork UniversityUniversity of TorontoCentre for Addiction and Mental Health
FundersCanadian Institutes of Health ResearchKids Brain Health Network
KeywordsAutismPsychologyCognitionAnxietyClinical psychologyCognitive behavioral therapyMental healthPsychotherapistPsychiatry

Abstract

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Cognitive behavioral therapy is a widely studied and commonly used psychosocial intervention for treating emotional problems in individuals with autism. To date, most studies of cognitive behavioral therapy and autism have focused on efficacy. Effectiveness trials, by contrast, measure whether an intervention produces particular results under “real-world” clinical conditions. We conducted a systematic review of cognitive behavioral therapy interventions targeting affective disorders among youth with autism and (a) classified studies as either efficacy or effectiveness trials and (b) coded how the effectiveness trials reflect the implementation characteristics outlined in the Framework of Dissemination in Health Services Intervention Research. The systematic search yielded 2959 articles, with 33 studies meeting inclusion criteria. Thirteen studies were categorized as effectiveness and 20 as efficacy. We discuss how the effectiveness studies considered elements of the implementation framework and provide recommendations for future studies, including greater consideration and measurement of adoption and sustainability processes, as well as organizational- and system-level outcomes. Results shed light on our understanding of the effectiveness of cognitive behavioral therapy in routine clinical practice, how an implementation framework can be used to guide and improve effectiveness studies, and identify barriers, facilitators, and gaps in the implementation process. Lay abstract Cognitive behavioral therapy is a common treatment for emotional problems in people with autism. Most studies of cognitive behavioral therapy and autism have focused on efficacy, meaning whether a treatment produces results under “ideal” conditions, like a lab or research setting. Effectiveness trials, by contrast, investigate whether a treatment produces results under “real-world” conditions, like a community setting (e.g. hospital, community mental health center, school). There can be challenges in bringing a cognitive behavioral therapy treatment out of a lab or research setting into the community, and the field of implementation science uses frameworks to help guide researchers in this process. In this study, we reviewed efficacy and effectiveness studies of cognitive behavioral therapy treatments for emotional problems (e.g. anxiety, depression) in children and youth with autism. Our search found 2959 articles, with 33 studies meeting our criteria. In total, 13 studies were labelled as effectiveness and 20 as efficacy. We discuss how the effectiveness studies used characteristics of an implementation science framework, such as studying how individuals learn about the treatment, accept or reject it, how it is used in the community over time, and any changes that happened to the individual or the organization (e.g. hospital, school, community mental health center) because of it. Results help us better understand the use of cognitive behavioral therapy in the community, including how a framework can be used to improve effectiveness studies.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.065
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.199
GPT teacher head0.420
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it