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Record W3033072150 · doi:10.1136/bmjopen-2019-034280

Early Psychosis Intervention-Spreading Evidence-based Treatment (EPI-SET): protocol for an effectiveness-implementation study of a structured model of care for psychosis in youth and emerging adults

2020· article· en· W3033072150 on OpenAlexafffundabout
Nicole Kozloff, George Foussias, Janet Durbin, Sanjeev Sockalingam, Jean Addington, Donald Addington, Augustina Ampofo, Kelly K. Anderson, Melanie Barwick, Sarah Bromley, Jasmyn E. A. Cunningham, Simone Dahrouge, Lillian Duda, Catherine Ford, Sheila Gallagher, John D. Haltigan, Joanna Henderson, Alexia Jaouich, Dielle Miranda, Patrick Mitchell, Josette Morin, Claire de Oliveira, Valerie Primeau, Eva Serhal, Sophie Soklaridis, Diana Urajnik, Krista Whittard, Juveria Zaheer, Paul Kurdyak, Aristotle N. Voineskos

Bibliographic record

VenueBMJ Open · 2020
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsRegional Municipality of NiagaraNOSM UniversityMcMaster UniversityLaurentian UniversityMinistry of Health and Long Term CareInstitute for Clinical Evaluative SciencesUniversity of OttawaLakeridge HealthUniversity of CalgaryUniversity of TorontoWestern UniversityBruyèreCentre for Addiction and Mental Health
FundersCanadian Institutes of Health Research
KeywordsMedicineMental healthIntervention (counseling)FidelityProtocol (science)Motivational interviewingNursingFamily medicinePsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: While early psychosis intervention (EPI) has proliferated in recent years amid evidence of its effectiveness, programmes often struggle to deliver consistent, recovery-based care. NAVIGATE is a manualised model of EPI with demonstrated effectiveness consisting of four components: individualised medication management, individual resiliency training, supported employment and education and family education. We aim to implement NAVIGATE in geographically diverse EPI programmes in Ontario, Canada, evaluating implementation and its effect on fidelity to the EPI model, as well as individual-level outcomes (patient/family member-reported and interviewer-rated), system-level outcomes (captured in provincial administrative databases) and engagement of participants with lived experience. METHODS AND ANALYSIS: This is a multisite, non-randomised pragmatic hybrid effectiveness-implementation type III mixed methods study coordinated at the Centre for Addiction and Mental Health (CAMH) in Toronto. Implementation is supported by the Provincial System Support Program, a CAMH-based programme with provincial offices across Ontario, and Extension of Community Healthcare Outcomes Ontario Mental Health at CAMH and the University of Toronto. The primary outcome is fidelity to the EPI model as measured using the First Episode Psychosis Services-Fidelity Scale. Four hundred participants in the EPI programmes will be recruited and followed using both individual-level assessments and health administrative data for 2 years following NAVIGATE initiation. People with lived experience will be engaged in all aspects of the project, including through youth and family advisory committees. ETHICS AND DISSEMINATION: Research ethics board approval has been obtained from CAMH and institutions overseeing the local EPI programmes. Study findings will be reported in scientific journal articles and shared with key stakeholders including youth, family members, programme staff and policymakers. TRIAL REGISTRATION NUMBER: NCT03919760; Pre-results.

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)0.075
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.075
Threshold uncertainty score0.396

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0750.044
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0070.007
Bibliometrics0.0030.004
Science and technology studies0.0050.004
Scholarly communication0.0040.005
Open science0.0050.005
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0660.010

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 head0.269
GPT teacher head0.536
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations15
Published2020
Admission routes3
Has abstractyes

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