MétaCan
Menu
Back to cohort

The experience and views of mental health nurses regarding nursing care delivery in an integrated, inpatient setting

2005· article· en· W1993530790 on OpenAlexaff
Michelle Cleary, Garry Walter, Glenn E. Hunt

Bibliographic record

VenueInternational Journal of Mental Health Nursing · 2005
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsNursingMental healthMedicineTeamworkMEDLINEMental health nursingPrimary nursingNurse educationPsychiatry

Abstract

fetched live from OpenAlex

Positive and effective consumer outcomes hinge on having in place optimal models of nursing care delivery. The aim of this study was to ascertain the experience and views of mental health nurses, working in hospitals in an area mental health service, regarding nursing care delivery in those settings. Surveys (n = 250) were sent to all mental health nurses working in inpatient settings and 118 (47%) were returned. Results showed that the quality of nursing care achieved high ratings (by 87%), and that two-thirds of respondents were proud to be a mental health nurse and would choose to be a mental health nurse again. Similarly, the majority (71%) would recommend mental health nursing to others. Concern was, however, expressed about the continuity and consistency of nursing work and information technology resources. Nurses with community experiences rated the importance of the following items, or their confidence, higher than those without previous community placements: the importance of interdisciplinary teamwork; the importance of participating in case review; the importance of collaborating with community staff; confidence in performing mental state examinations; and confidence in collaborating with community staff, suggesting that this placement had positive effects on acute care nursing.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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

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 head0.035
GPT teacher head0.493
Teacher spread0.458 · 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 designQualitative
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

Citations41
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Mental Health NursingSame topicInterprofessional Education and CollaborationFrench-language works237,207