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Record W2035476324 · doi:10.1177/000841740507200305

It's the Activity that Counts: What Clients Value in Psycho-Educational Groups

2005· article· en· W2035476324 on OpenAlexaffvenue
Jocelyn Cowls, Sandra Hale

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2005
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsVancouver Coastal HealthHomewood Research Institute
Fundersnot available
KeywordsAttendancePsychologyQualitative researchPerspective (graphical)Grounded theoryMental healthFocus groupClinical psychologyMedical educationPsychotherapistMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: This qualitative pilot research study provides client-centred outcomes by evaluating psycho-educational groups from the clients'perspective. PURPOSE: This study was designed to determine what clients value in three psycho-educational groups offered in an acute inpatient psychiatric setting. METHODS: Interviews lasting 30 to 60 minutes relating to the 8 participants group experiences were recorded and transcribed verbatim. A constant comparative approach was used to analyze data allowing for both expected and emergent themes to be integrated into later interviews. RESULTS: Identified themes were group structure, readiness to attend groups and process information, and group milieu. Participants valued voluntary attendance and supportive milieu of groups. Insertion of relevant activity into groups to promote interaction, learning and information retention was also valued. PRACTICE IMPLICATIONS: Occupational therapists offering mental health groups should consider a number of factors. These include the importance of transitioning clients from activity groups to psycho-educational groups, as well as the value clients place in determining their readiness to attend a group and having a supportive milieu with limits to emotional disclosure.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.334
GPT teacher head0.531
Teacher spread0.197 · 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

Citations46
Published2005
Admission routes2
Has abstractyes

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