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Record W2889504406 · doi:10.1177/2010105818795941

Effect of an educational training intervention on rapid tranquillisation usage – a pilot nursing study in a public hospital in Singapore

2018· article· en· W2889504406 on OpenAlexaff
Bharathi Balasundaram, Soak Yee Loh, Pallavi Nadkarni, Li Na Jiang, Mahesh Jayaram, Jia Wen Kam, Hwa Ling Yap, Krishnasamy Shashu Ayengar, Jing Bai

Bibliographic record

VenueProceedings of Singapore Healthcare · 2018
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsQueen's University
Fundersnot available
KeywordsLikert scaleIntervention (counseling)NursingMedicineTest (biology)Training (meteorology)Family medicinePsychology

Abstract

fetched live from OpenAlex

Background: Studies evaluating nursing educational initiatives in rapid tranquillisation procedures are lacking. Objective: This pilot study in a public hospital in Singapore evaluated the effect of an educational training intervention on knowledge and confidence of nurses using rapid tranquillisation in two medical wards. Method: The study design was a pilot pre- and post-test single-group design on a voluntary sample of 75 nurses. The educational training intervention comprised of a 60 min interactive presentation followed by a small-group-based case discussion conducted by an advanced nurse practitioner. Knowledge was measured using a ‘test the knowledge’ questionnaire; a Likert scale measured perceived level of confidence. Results: The knowledge score (overall score = 11) was significantly improved from pre-training (average score: 5.1 (standard deviation, 1.3)) to post-training (average score: 8.1 (standard deviation, 1.8)), t = −12.61, p < 0.001. The participants were more confident after training ( p < 0.001). Conclusion: This study has shown that a classroom training intervention of nurses in rapid tranquillisation procedures improved knowledge and confidence in dealing with patient violence in hospitals and added to the safe practice of rapid tranquillisation. Further studies evaluating the long-term and clinical impact of training with more rigorous study designs are needed to replicate these promising findings.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.086
GPT teacher head0.438
Teacher spread0.352 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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