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Record W6958714636 · doi:10.6084/m9.figshare.c.7449440

Discharge from secondary care services to primary care for adults with serious mental illness: a scoping review

2024· other· en· W6958714636 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typeother
Languageen
FieldEngineering
TopicParticle Accelerators and Free-Electron Lasers
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPrimary careSecondary careIntervention (counseling)Psychological interventionTransitional careContinuity of careMental healthGrey literatureSecondary prevention

Abstract

fetched live from OpenAlex

Abstract Background Effective transitions of patients from Secondary Care Services (SCSs) to primary care are necessary for optimization of resources and care. Factors that enable or restrict smooth transitions of individuals with Serious Mental Illness (SMI) to primary care from SCSs have not been comprehensively synthesized. Methods A scoping review was conducted to answer the questions (1) “What are the barriers and facilitators to discharge from SCSs to primary care for adults with SMI?” and (2) “What programs have been developed to support these transitions?”. Results Barriers and facilitators of discharge included patient-, primary care capacity-, and transition Process/Support-related factors. Patient-related barriers and facilitators were most frequently reported. 11 discharge programs were reported across the evidence sources. The most frequently reported program components were the provision of additional mental health supports for the transition and development of care plans with relapse signatures and intervention plans. Conclusions Established discharge programs should be comprehensively evaluated to determine their relative benefits. Furthermore, research should be expanded to evaluate barriers and facilitators to discharge and discharge programs in different national contexts and models of care. Trial Registration The protocol for this scoping review is registered with the Open Science Framework ( https://doi.org/10.17605/OSF.IO/NBTMZ ).

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.491
Threshold uncertainty score1.000

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)0.0220.001

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 head0.008
GPT teacher head0.236
Teacher spread0.228 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2024
Admission routes1
Has abstractyes

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