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ABSTRACT 147

2014· article· en· W2326846017 on OpenAlexaff
Karen Dryden‐Palmer, Kristen Middaugh, Amanda McCormick, Krista Keilty, Matthew W. McAllister

Bibliographic record

VenuePediatric Critical Care Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineAuditNursingFocus groupBest practicePatient safetyHealth careMedical education

Abstract

fetched live from OpenAlex

Background and aims: To advance child and family-centred care, the CCU participated in the implementation of a hospital-wide initiative promoting family presence at nursing shift handover. Aims: We will describe the process and outcomes of work completed to prepare the clinical team to implement this new practice. Methods: Multiple strategies were utilized for implementation. Focus groups were held to explore needs related to the practice change. Informal practice development sessions promoted nurse engagement and unit champions were established. Member checking was completed and an implementation toolkit was designed. Nurses were oriented via interactive education meetings, practice simulation and self-learning products. Supportive literature was made available via technology-enabled platforms. Throughout, point of care support was offered by the champions and the leadership team. Nurse impact surveys at baseline and 6 weeks post-implementation are planned. Surveys use scales and open responses to explore key aspects of the new practice. Time studies will be carried out and compliance auditing with feedback will be completed at regular intervals. Results: Implementation of the practice change is expected to be completed in February 2014. Thus, results of surveys, work flow alterations along with unforeseen impacts will be reported thereafter. Conclusions: These findings are expected to guide future uptake of the practice across the hospital, and have positive impacts on child and family-centered care outcomes including; optimal health, patient safety, health equity, patient experience and provider satisfaction.

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)0.000
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.335
Teacher spread0.318 · 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
Published2014
Admission routes1
Has abstractyes

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