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Record W2937820392 · doi:10.1093/schbul/sbz019.412

T132. PATIENT AND PHYSICIAN FACTORS ASSOCIATED WITH FIRST DIAGNOSIS OF PSYCHOTIC DISORDER IN PRIMARY CARE

2019· article· en· W2937820392 on OpenAlexaffabout
Kelly Anderson, Suzanne Archie, Richard Booth, Chiachen Cheng, Saadia Hameed, Arlene G. MacDougall, Lena Palaniyappan, Bridget Ryan, Aristotle N. Voineskos, Rebecca Rodrigues

Bibliographic record

VenueSchizophrenia Bulletin · 2019
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsNOSM UniversityMcMaster UniversityCentre for Addiction and Mental HealthWestern University
Fundersnot available
KeywordsMedicinePsychosisPsychiatryCohortPopulationMental healthLogistic regressionHelp-seekingRetrospective cohort studyFamily medicine

Abstract

fetched live from OpenAlex

The family physician has been identified as a key player on the pathway to care in first-episode psychosis, as the majority of young people with early psychosis make help-seeking contacts in primary care. This involvement of family physicians has been shown to reduce the likelihood of negative pathways to care. As such, increasing the involvement of family physicians in the identification of early psychosis would be beneficial for improving service-related outcomes. Our objectives were to estimate the proportion of youth with early psychosis who are diagnosed in primary care, and to identify patient- and physician-level factors associated with a first diagnosis of psychosis in primary care. Using population-based health administrative data, we constructed a retrospective cohort of people aged 14 to 35 years with a first diagnosis of psychosis in Ontario between 2005 and 2015. We extracted data on all mental health help-seeking attempts in primary care in the six-month period preceding the first diagnosis of psychotic disorder. Restricting the sample to people with help seeking attempts in primary care, we used multilevel logistic regression models, with physician as the clustering unit, to model the patient and physician characteristics associated with first diagnosis in primary care. Nearly two thirds (63%) of young people with early psychosis (n = 39,449) had mental health help-seeking contacts in primary care in the six-month period prior to first diagnosis. Of those, 47% were diagnosed in primary care (30% of total cohort), whereas 53% received their diagnosis in secondary or tertiary care services (33% of total cohort). Initial results suggest that people who are older at psychosis onset are more likely to receive their first diagnosis in primary care, and people who have a history of other psychosocial comorbidities are less likely to be diagnosed in primary care. Full results for patient- and physician-level factors associated with a first diagnosis in primary care will be presented. Approximately one in three young people with early psychosis in Ontario receive their first diagnosis of psychotic disorder from a family physician, and an additional third of people with early psychosis made help-seeking attempts in primary care for mental health reasons but received their first diagnosis in secondary or tertiary care services. The findings from these analyses will allow us to identify subgroups of primary care providers to target with continuing medical education efforts to better support family physicians in their central role in pathways to care for first-episode psychosis.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.324
Threshold uncertainty score0.645

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.011
GPT teacher head0.251
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes2
Has abstractyes

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