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Record W2098903878 · doi:10.12927/cjnl.2003.16340

Developing Guidelines for an Interdisciplinary Practice Approach: Administration of Oral Medications in a Community Mental Health Setting

2003· review· en· W2098903878 on OpenAlexvenueaboutno aff
Margaret Gehrs, Tracey Holz

Bibliographic record

VenueNursing leadership · 2003
Typereview
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsAssertive community treatmentMental healthLegislationNursingRestructuringMedicineAdministration (probate law)Work (physics)Mental illnessBusinessPsychiatryPolitical science

Abstract

fetched live from OpenAlex

Mental health reform, health services restructuring and changes in mental health legislation have resulted in a shift from hospital-based to community-based treatment for individuals with serious and persistent mental illness. A system-wide response to this trend has been the implementation of interdisciplinary Assertive Community Treatment (ACT) teams in the province of Ontario. The need for efficient, cLient-centred versus discipline-centred community care has prompted ACT teams to challenge traditional scopes of practice. This paper describes the Oral Medication Administration Guidelines Project as a mechanism for facilitating innovative team-based work design for oral medication administration in the community. The resulting provincewide guidelines can assist interdisciplinary ACT teams to design relevant training, improve work efficiencies and implement policies and procedures to manage client risk in relation to oral medication administration in the community.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0030.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.737
GPT teacher head0.659
Teacher spread0.079 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2003
Admission routes2
Has abstractyes

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