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Record W2782655587 · doi:10.1080/0164212x.2017.1418698

Post-Discharge Experiences of People with Psychosis Following Partial Hospital Program Completion

2018· article· en· W2782655587 on OpenAlexaff
Rachel C. L. Roby, Rebecca L. Shapira Goldstein, Ebony St. Rose, Nick Kerman

Bibliographic record

VenueOccupational Therapy in Mental Health · 2018
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of OttawaCentre for Addiction and Mental Health
Fundersnot available
KeywordsPartial hospitalizationDischarge planningPsychosisMental illnessQualitative researchPsychiatryPsychologyHospital dischargeMedicineNursingMental health

Abstract

fetched live from OpenAlex

Partial hospital programs are day programs which act as a bridge between inpatient and outpatient care for people with severe and persistent mental illness. This study explored the gap that exists in understanding the post-discharge experiences of people who have experienced psychosis. Qualitative interviews were conducted with 8 participants with psychosis, at least 4 weeks after completing partial hospital program. Identified themes included improved sense of wellness, changes in structure/routine, accessing community resources, social support and engagement, engagement in leisure, and impact of medication. Occupational therapists can use these findings to enhance programming at partial hospital programs and other similar programs.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.088
GPT teacher head0.508
Teacher spread0.420 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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