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Record W2801476257 · doi:10.35680/2372-0247.1163

Nursing transfer of accountability at the bedside: partnering with patients to pilot a new initiative in Ontario community hospitals

2018· article· en· W2801476257 on OpenAlexafffundabout
Kristina B.A. Miller, Aden Hamza, Kateryna Metersky, Dianne M Gaffney

Bibliographic record

VenuePatient Experience Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsWestern University
FundersHealth CanadaCanadian Foundation for Healthcare Improvement
KeywordsNursingAccountabilityMedicineFocus groupConfidentialityWorkloadPatient safetyCLARITYHealth care

Abstract

fetched live from OpenAlex

The transfer of accountability (TOA) for a patient from one nurse to another at change of shift is an important opportunity to exchange essential patient care information, as well as to enhance the safety and quality of patient care. This study was undertaken to explore nurses’, patients’ and family members’ perceptions associated with the implementation of bedside nurse to nurse TOA. Focus groups were conducted pre-implementation (two with nurses and two with patients and family members) and post-implementation (six with nurses and two with patients and family members). The focus groups were audio-recorded, transcribed and analysed using directed content analysis. Findings were divided into positive outcomes and challenges to bedside nurse to nurse TOA. Positive outcomes included increased patient safety, more informed patients more consistent use of whiteboards in the patient rooms, better engagement with family via the whiteboard and increased family involvement, confirmation of information between nurses, increased accountability between nurses, and personal introduction/icebreaker of the new nurse. The inclusion of the Patient Partners on the project team was a key success factor for the project. Challenges included a perception of lengthened time required for TOA and increased workload, lack of privacy and potential breaches of confidentiality, patient fear and lack of comprehension, lack of clarity in TOA processes, and inconsistent application of the procedures. Hospital administrators and nurse leaders can use these findings to anticipate and understand change associated with bedside TOA as seen by both nurses and patients/families.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.060
GPT teacher head0.333
Teacher spread0.273 · 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

Citations4
Published2018
Admission routes3
Has abstractyes

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