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Record W2119445470 · doi:10.1177/070674370404900907

Patient Opinions on the Benefits of Treatment Programs in Residential Psychiatric Care

2004· article· en· W2119445470 on OpenAlexvenueno aff
Bruno Biancosino, Corrado Barbui, Valentina Pera, Michela Osti, Denis Rocchi, Luciana Marmai, Luigi Grassi

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2004
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsModalitiesMedicineTreatment modalityTherapeutic modalitiesPsychiatryResidential careMEDLINEPsychologyNursingPhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess patients' opinions on the perceived benefit of treatment delivered during their stay in a residential facility. METHOD: We administered the Opinions on Curative Factors Questionnaire (OCFQ), which was developed from previous studies and assesses several treatment modalities and therapeutic factors, to a sample of 157 severely ill psychiatric patients admitted to a residential facility. RESULTS: All therapeutic factors tested by the OCFQ were considered helpful or very helpful by most of those sampled. The item with the highest score was "talking to doctor," followed by "free pass," "medication," "visitors," "nonhospital setting," "making friends with patients," "structure of daily life," "support from team," and "talking to nurses." The least-valued item was "group activities." CONCLUSION: Psychiatric patients consider several treatment factors to be helpful, especially those based on individual approaches or on a less restrictive therapeutic milieu that allows interactions with the outside world. These results may be a valuable contribution to improving treatment planning in residential facilities.

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)0.002
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.323
Teacher spread0.279 · 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 designQualitative
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

Citations9
Published2004
Admission routes1
Has abstractyes

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