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Record W2693254853 · doi:10.12927/cjnl.2017.25105

The Role of Nurse Leaders in Advancing Carer Communication Needs across Transitions of Care: A Call to Action

2017· article· en· W2693254853 on OpenAlexaffvenueabout
Sonia Udod, Michelle Lobchuk

Bibliographic record

VenueNursing leadership · 2017
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of ManitobaResearch ManitobaUniversity of Saskatchewan
Fundersnot available
KeywordsNursingCall to actionHealth careAction (physics)Healthcare deliveryPsychologyPublic relationsMedicineBusinessPolitical science

Abstract

fetched live from OpenAlex

This paper focuses on the central role of senior nurse leaders in advancing organizational resources and support for communication between healthcare providers and carers that influences patient and carer outcomes during the transition from hospital to the community. A Think Tank (Lobchuk 2012) funded by the Canadian Institutes of Health Research (CIHR) gathered interdisciplinary and intersectoral stakeholders from local, national and international levels to develop a Family Carer Communication Research Collaboration. Workshop stakeholders addressed critical challenges in meeting communication needs of carers as partners with clinicians in promoting safe care for the elderly, chronically or seriously ill or disabled individuals in the community. Key priority areas identified the need to uncover nurse leader perspectives at the system, nurse leader, healthcare provider and patient levels where communication with carers occurs. The overarching outcome from the workshop focuses on the need for nurse leaders to advocate for patients and their families in meeting carer communication needs. The authors' "call to action" requires commitment and investment from nurse leaders in the critical juncture of healthcare delivery to strengthen communication between healthcare providers and carers that influence patient and carer outcomes in seamless transitions of care.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score1.000

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 studies0.0020.000
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 head0.174
GPT teacher head0.448
Teacher spread0.274 · 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 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

Citations5
Published2017
Admission routes3
Has abstractyes

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