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Record W2902948033 · doi:10.4414/sanp.2016.00447

A naturalistic study of outcomes in a general psychiatry day hospital

2016· article· en· W2902948033 on OpenAlexaff
Anik Debrot, Virginie Salamin, Isabelle Gothuey, Armin Kratzel

Bibliographic record

VenueSwiss Archives of Neurology Psychiatry and Psychotherapy · 2016
Typearticle
Languageen
FieldPsychology
TopicPsychiatric care and mental health services
Canadian institutionsAmgen (Canada)
Fundersnot available
KeywordsAttendanceAffect (linguistics)MedicineContext (archaeology)PsychiatryPartial hospitalizationDay hospitalPopulationNaturalistic observationPsychologyMental health

Abstract

fetched live from OpenAlex

Psychiatric day hospitals have potential advantages compared with in­patient and/or outpatient treatment, but results are inconsistent and thus their use is controversial. Moreover, few data are available on the factors influencing the treatment success; this is particularly the case regarding Swiss day hospitals. This paper has three goals; first, to give an insight into the population attending a new general day hospital in Canton ­Fribourg; second, to assess different treatment outcome indicators, and third, to assess treatment improvement predictors. Results, relying on therapist-assessed data from all day hospital stays gathered over more than 3 years, show that, within a wide diversity, overall patients had a ­significant improvement in their functioning level during the stay. More­over, our results indicated that patients with a substance-related disorder benefited less from the ­treatment, whereas patients with an affective ­disorder benefited more. Additionally, patients starting with a lower ­functioning level ­improved more, whereas patients with a longer disorder history improved less. Suicidality and self-harming behaviour did not ­affect the outcome. Most importantly for clinical implications, longer treatment and more ­frequent attendance at the day hospital predicted a better outcome. ­Results are discussed in the context of the existing literature and their potential utility for further treatment and research.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.315
Teacher spread0.305 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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