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Record W2138402713 · doi:10.3109/09638237.2010.492415

Improving access to acute mental health services in a general hospital

2010· article· en· W2138402713 on OpenAlexaff
John Kowal, J. Robert Swenson, Tim Aubry, Hannah Davis Marchand, Colleen MacPhee

Bibliographic record

VenueJournal of Mental Health · 2010
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversity of OttawaOttawa Hospital
Fundersnot available
KeywordsMental healthMedicinePsychiatryNursingMedical emergency

Abstract

fetched live from OpenAlex

BACKGROUND: There is a paucity of service research on the effectiveness of short-term mental health clinics. AIMS: To outline the development of the Urgent Consultation Clinic (UCC), an inter-professional, short-term, mental health program in a general hospital, and to evaluate the effectiveness of the UCC from a quality improvement perspective. METHOD: Participants (n = 143) completed a battery of validated measures assessing psychological and physical symptoms, quality of life, life satisfaction, and satisfaction with services at three time-points. Inter-professional team members rated participants' overall functioning and severity of mental health problems at intake and termination. RESULTS: The median time from referral to initial UCC visit was 12 days. A significant decline in the severity of mental health symptoms was observed, with 87% of participants reporting clinically elevated symptoms at intake compared to 71% at termination. Significant improvements were observed in life satisfaction, overall functioning, and mental quality of life. Sixty-nine percent of participants rated the quality of services as good or excellent. CONCLUSIONS: The UCC model of care contributed to improved access to psychiatric evaluation and short-term treatment. This inter-professional model could be applied to other health care settings to meet the needs of patients requiring acute psychiatric services.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.018
GPT teacher head0.413
Teacher spread0.395 · 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.

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
Published2010
Admission routes1
Has abstractyes

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