MétaCan
Menu
Back to cohort
Record W2114221358 · doi:10.1176/appi.ps.004532012

Does the Redesign of a Psychiatric Inpatient Unit Change the Treatment Process and Outcomes?

2013· article· en· W2114221358 on OpenAlexfundno aff
Karen Urbanoski, Benoit H. Mulsant, Gabriela Novotná, Sahar Ehtesham, Brian Rush

Bibliographic record

VenuePsychiatric Services · 2013
Typearticle
Languageen
FieldPsychology
TopicPsychiatric care and mental health services
Canadian institutionsnot available
FundersNational Institutes of HealthCentre for Addiction and Mental Health FoundationCentre for Addiction and Mental Health
KeywordsMoodPatient satisfactionAnxietyInpatient careQuality of life (healthcare)AutonomyMedicineUnit (ring theory)PsychologyNursingPsychiatryHealth care

Abstract

fetched live from OpenAlex

OBJECTIVE: This study investigated whether ward atmosphere mediated the associations between the physical and therapeutic characteristics of an inpatient ward and patient outcomes. METHODS: Individuals (N=290) receiving inpatient care for mood and anxiety disorders before and after an extensive renovation project were surveyed about ward atmosphere, quality of life, and treatment satisfaction. Global functioning at admission and discharge and other clinical characteristics were obtained from patients' charts. RESULTS: After the redesign, participants perceived improved ward atmosphere, and the improvement was associated with greater treatment satisfaction and quality of life. Change in global functioning was independent of ward atmosphere. CONCLUSIONS: Efforts to improve the inpatient environment by supporting patient autonomy, peer support, and practical skill development may be expected to meet with improved outcomes, at least for quality of life and satisfaction with treatment. These findings are consistent with patient-centered design as well as with broader perspectives on recovery-oriented 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.334
Teacher spread0.307 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations11
Published2013
Admission routes1
Has abstractyes

Explore more

Same venuePsychiatric ServicesSame topicPsychiatric care and mental health servicesFrench-language works237,207