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Record W3155727864 · doi:10.1086/714312

Experiences of Psychosis Among Transition-Age Youth Attending an Outpatient Clinic in a Low-Resourced Community

2021· article· en· W3155727864 on OpenAlexaff
Shelly Ben‐David, Angel Amaro, Michelle R. Munson

Bibliographic record

VenueJournal of the Society for Social Work and Research · 2021
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychosocialPsychosisPsychiatryPsychological interventionOutpatient clinicMental healthClinical psychologyPsychologyCoping (psychology)Intervention (counseling)Medicine

Abstract

fetched live from OpenAlex

Objective: This study investigated whether transition-age youth attending a community-based urban outpatient clinic experienced psychosis. The study also explored how those who experienced psychosis, and their social support networks, manage these experiences. Method: Data were collected as part of a feasibility trial of a psychosocial intervention for youth with mental health disorders. The sample included 55 participants ages 16–20. We used Colorado Symptom Index (CSI) psychosis items to corroborate open-ended self-report items on psychosis. Results: Of participants, 29% reported experiences of psychosis. An additional 59% did not endorse psychotic experiences but reported psychotic-like symptoms on the CSI measure. Participants who reported psychotic experiences scored higher on the CSI than those who did not report psychotic experiences. They also reported delayed disclosure, negative emotions, negative messages from family members about their experiences, and coping mechanisms. Conclusions: Multiple assessment strategies are needed to assess for psychotic experiences among youth attending clinics that do not specialize in psychotic illnesses. Social workers in low-resourced clinics are uniquely positioned to identify early stages of psychosis, provide tailored psychosocial interventions, and refer youth to specialized early psychosis clinics.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.114
GPT teacher head0.415
Teacher spread0.302 · 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 designQualitative
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
Published2021
Admission routes1
Has abstractyes

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