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Record W2789655337 · doi:10.1111/eip.12550

Expectations vs reality: The expectations and experiences of psychiatric treatment reported by young adults at a mood and anxiety outpatient mental health program

2018· article· en· W2789655337 on OpenAlexafffund
Sarah Armstrong, Michael Wammes, Justin Arcaro, Amanda Hostland, Carolyn Summerhurst, Elizabeth Osuch

Bibliographic record

VenueEarly Intervention in Psychiatry · 2018
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsLawson Health Research InstituteLondon Health Sciences CentreWestern University
FundersWestern University
KeywordsApprehensionAnxietyMoodMental healthPsychiatryPsychologyClinical psychologyMedicine

Abstract

fetched live from OpenAlex

AIM: To compare young adults' expectations of psychiatric treatment to their actual experiences and identify myths and assumptions that youth might hold prior to receiving care. METHODS: We interviewed youth who engaged in at least 4 months of treatment at the First Episode Mood and Anxiety Program to theme saturation (N = 20). They were asked about their experience of treatment and the expectations they had prior to care. Transcribed interviews were analysed for themes. RESULTS: Results indicated that participants often expected a cold, serious atmosphere, a "quick fix," and a directive therapeutic relationship. Although most patients had a negative experience at some point in their care, they overall described a welcoming environment with engaged providers and a collaborative therapeutic relationship. Participants found treatment more complex than they had anticipated, but ultimately experienced strengthening of agency and a change in perspective. CONCLUSIONS: These results identify a need to recognize assumptions held by young adults seeking treatment for mental health symptoms. Addressing these preconceptions might reduce apprehension and improve readiness for treatment. This research provides direction on how to dispel myths and better prepare youth for the work involved in effective psychiatric care.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.349
Threshold uncertainty score0.577

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 studies0.0000.000
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 head0.014
GPT teacher head0.322
Teacher spread0.307 · 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

Citations16
Published2018
Admission routes2
Has abstractyes

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