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Record W2139485092 · doi:10.22230/jripe.2012v2n2a71

Implementation of a Mental Health Guideline in a Long-Term Care Home: A Participatory Action Approach

2012· article· en· W2139485092 on OpenAlexaffvenueabout
Maria Huijbregts, Lisa Guttman Sokoloff, Sid Feldman, David Conn, Kelsey Simons, Leenah Walsh, Lynda Dunal, R. H. Goodman, Nasreen Khatri

Bibliographic record

VenueJournal of Research in Interprofessional Practice and Education · 2012
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsBaycrest HospitalYork UniversityUniversity of Toronto
Fundersnot available
KeywordsNursingAction planFocus groupPsychological interventionMedicineMental healthMandateTeamworkParticipatory action researchJob satisfactionHealth carePsychologyPsychiatry

Abstract

fetched live from OpenAlex

AbstractBackground: The goal of this pilot study was to implement a Canadian mental health guideline in a long-term care residence in order to improve interprofessional care of clients with mood and behavioural issues.Methods: Using a participatory action approach, this pilot study engaged staff/physicians, residents, and families in identifying key priorities for action related to the goal of improving interprofessional care. This resulted in the implementation of educational interventions, a mandate for non-registered nursing staff to attend interprofessional rounds, and enhanced interprofessional collaboration through unit-based huddles. A staff satisfaction survey and focus groups were conducted to assess perceptions of change.Findings: The staff satisfaction survey revealed statistically significant improvements in perceived job satisfaction, leadership, and workplace resources. Focus group findings indicated improved interprofessional collaboration, teamwork, support, and communication. Staff noted a stronger perception of being valued and increased confidence in their own contributions.Conclusions: Both qualitative and quantitative improvements were noted in staffjob satisfaction. Despite some limitations, these findings suggest that further dissemination of this initiative with rigorous evaluation is warranted.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.204
GPT teacher head0.661
Teacher spread0.457 · 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

Citations8
Published2012
Admission routes3
Has abstractyes

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