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Record W4409875707 · doi:10.1089/aut.2024.0200

Autistic Adults’ Experiences Seeking and Receiving Support for Mental Health and Suicidal Thoughts and Behavior

2025· article· en· W4409875707 on OpenAlexaff
Jodie Wilson, Claire M. Brown, Susan Hayward, Mark A. Stokes, David Nicholas, Darren Hedley

Bibliographic record

VenueAutism in Adulthood · 2025
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversity of Calgary
FundersSuicide Prevention Australia
KeywordsMental healthPsychologySuicidal behaviorPsychiatryClinical psychologySuicide preventionPoison controlMedicineMedical emergency

Abstract

fetched live from OpenAlex

Background: Autistic adults have a high incidence of mental health challenges, including suicidal thoughts and behavior (STB). Our objective was to gain a nuanced understanding of autistic adults’ experiences in seeking and receiving support for their mental health, including STB, presented in a format that could be operationalized to improve service provision for autistic adults. Methods: We applied an integrated codesign approach involving autistic adults at every stage of the research, acknowledging them as experts on their own lives. Thirty-three autistic adults with a history of STB participated in semi-structured narrative interviews, discussing their experiences seeking and receiving support for their mental health. We analyzed data using reflexive thematic analysis. Results: We constructed an overarching theme, “We Don’t Know What We Don’t Know,” representing the bidirectional misunderstandings that occur between health care providers and autistic people. Within the overarching theme were four central themes: (1) Communicate with Me (understanding the uniqueness of autistic communication); (2) Understand Me (developing a nuanced understanding of autism and being autistic); (3) Help Me to Understand Myself (developing self-understanding); and (4) Support Me (empowerment when supported). We constructed an underpinning theme, “Trust and Safety,” representing the need for psychological safety in all domains of mental health care. We centered the lived experiences of autistic adults to acknowledge the need for autistic people to feel safe and for service providers to build trust to effectively support the mental health of autistic adults. Conclusions: Our analysis demonstrates the need to facilitate access to mental health care and improve the quality and effectiveness of service utilization for autistic adults. Recommendations include improving understanding of and communication with autistic people, embedding education, cultural humility, and psychological safety, acknowledging power imbalances, adapting interventions, and validating autistic experience. Our thematic map serves as a framework to inform and improve health care services for autistic people.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.330
Teacher spread0.310 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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