MétaCan
Menu
Back to cohort
Record W2331362404 · doi:10.1037/prj0000082

Development of a recovery education program for inpatient mental health providers.

2014· article· en· W2331362404 on OpenAlexaff
Shu‐Ping Chen, Terry Krupa, Rosemary Lysaght, Elizabeth McCay, Myra Piat

Bibliographic record

VenuePsychiatric Rehabilitation Journal · 2014
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsMcGill UniversityToronto Metropolitan UniversityQueen's University
Fundersnot available
KeywordsMental healthMultidisciplinary approachNursingProgram evaluationMedical educationAppreciative inquiryPsychologyMedicinePedagogyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: Mental health system transformation toward a recovery-orientation has created a demand for education to equip providers with recovery competencies. This report describes the development of a recovery education program designed specifically for inpatient providers. METHOD: Part 1 of the education is a self-learning program introducing recovery concepts and a recovery competency framework; Part 2 is a group-learning program focusing on real-life dilemmas and applying the Appreciative Inquiry approach to address these clinical dilemmas. A pilot study with a pretest/posttest design was used to evaluate the program. Participants included 26 inpatient multidisciplinary providers from 3 hospitals. RESULTS: The results showed participants' improvement on recovery knowledge (z = -2.55, p = .011) after the self-learning program. Evaluations of the group-learning program were high (4.21 out of 5). CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: These results support continued efforts to refine the program. Inpatient providers could use this program to lead interprofessional practice in promoting recovery.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.878
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.066
GPT teacher head0.435
Teacher spread0.369 · 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 designNot applicable
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

Citations14
Published2014
Admission routes1
Has abstractyes

Explore more

Same venuePsychiatric Rehabilitation JournalSame topicMental Health and Patient InvolvementFrench-language works237,207