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Record W3027634725 · doi:10.1093/schbul/sbaa031.309

S243. RACIAL AND ETHNIC DIFFERENCES IN PATHWAY TO CARE AND BASELINE CHARACTERISTICS IN EARLY INTERVENTION SERVICES FOR PSYCHOSIS IN NEW YORK STATE

2020· article· en· W3027634725 on OpenAlexaboutno aff
Els van der Ven, Stephen M. Smith, Yasmin Rawlins, Ilana Nossel, Cale Basaraba, Melanie M. Wall, Jennifer Scodes, Wim Veling, Leslie Marino, Lisa B. Dixon

Bibliographic record

VenueSchizophrenia Bulletin · 2020
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupContext (archaeology)Intervention (counseling)MedicinePsychiatryPsychosisMental healthGerontologyPsychology

Abstract

fetched live from OpenAlex

Abstract Background The racial and ethnic background of individuals with psychosis may shape their pathway to early intervention services and clinical presentation at admission. Studies from Europe and Canada demonstrate that black minority patients with first-episode psychosis experience a more adverse and coercive pathway to care. The extent to which these findings can be extrapolated to the US context is unknown. The aims of this study are (1) to compare baseline contextual and clinical characteristics, and (2) to examine care pathways by race and ethnicity among young people with psychosis in early intervention services. Methods This study included individuals with a recent-onset (<2 years) psychosis aged 16 to 30 years enrolled at 19 early intervention programs across New York State. Clinicians collected data on pathway to care, demographic, social and clinical variables at program entry. Level of functioning was assessed using the social, occupational and symptomatic functioning subscales of the MIRECC GAF. Results The sample included 767 individuals with a non-Hispanic white (n=209, 27.2%), non-Hispanic black (277, 36.1%), Hispanic (218, 28.4%), or Asian (63, 8.2%) racial/ethnic background. Compared to non-Hispanic white, minority individuals were more likely to have public or no insurance and, overall, had a lower level of completed education. In terms of pathway to care, a lower proportion of non-Hispanic black (65.7%) and Asian (58.7%) participants had previously used mental health services compared to the non-Hispanic white group (78.0%). In contrast, psychiatric hospital or emergency department admissions in the 90 days prior to program enrollment were more frequent among all minority groups in comparison to the non-Hispanic white group. There were no significant differences by race and ethnicity in the level of symptoms or social functioning at baseline. Discussion Our findings suggest a pattern of mental health service use among minority groups with psychosis characterized by less mental health contacts but more inpatient and emergency care prior to the initiation of early intervention services. This trend could be partly explained by racial and ethnic patterning at the contextual level, including financial barriers to care, less so by racial/ethnic differences in illness severity. Our findings are consistent with evidence demonstrating an overrepresentation of minority individuals, especially African-Americans, in psychiatric emergency services suggesting a gap in unmet mental health need among minority populations in the US.

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 score0.527
Threshold uncertainty score0.824

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 head0.040
GPT teacher head0.323
Teacher spread0.283 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

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