MétaCan
Menu
Back to cohort
Record W3112758423 · doi:10.1111/jocn.15588

Promoting cardiovascular nursing practice and research: A model for a university joint appointment

2020· article· en· W3112758423 on OpenAlexaffabout
Sandra Lauck, Sally Thorne, Elizabeth Saewyc, Leanne Heppell, Agnes Black, Sean Virani

Bibliographic record

VenueJournal of Clinical Nursing · 2020
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsNursingDeliverablePromotion (chess)Government (linguistics)MedicineMultidisciplinary approachBachelorMedical educationSociologyPolitical scienceManagement

Abstract

fetched live from OpenAlex

BACKGROUND: University joint appointments promote continuity of academic leadership and the acceleration of nurses' impact on improved outcomes and health service delivery. The role of university-appointed and hospital-located nurse scientists is of growing interest in the academic and clinical settings, and within the nursing profession. There is a pressing need to describe and study models of appointments, responsibilities and contributions to strengthen the integration of this boundary-crossing role across the continuum of the nursing profession. AIMS AND OBJECTIVES: We report on the implementation of the inaugural St. Paul's Hospital and Heart & Stroke Professorship in Cardiovascular Nursing at the University of British Columbia, Vancouver Canada. DISCUSSION: This model was based on recommendations provided by nursing to provincial government policy-makers, co-created and co-funded by academic and practice partners. Appointed by the university, the role is primarily located in the hospital, with the target of contributing 75% of time and focus on clinical research and leadership. The position is facilitated by its academic affiliation and the provision of university research and teaching infrastructure. In clinical practice, the role benefits from integration and visibility in the cardiac programme and leadership team, collaboration with advanced practice and multidisciplinary research groups, and access to office and human resources located on the clinical unit. Deliverables centre on achieving adjusted indicators of university performance to support academic promotion, and delivery of a practice-close research programme that prioritises improved patient outcomes, multidisciplinary practice and improved outcomes. RELEVANCE TO CLINICAL PRACTICE: The dual appointment aims to provide tangible benefits to both the university and the hospital that match each organisation's needs; this requires sustained senior leadership engagement and support, and modification of conventional indicators of impact and success. Its ongoing evaluation will elucidate required modifications and future strategies required to strengthen nurses' academic and clinical leadership.

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)0.019
metaresearch head score (Gemma)0.207
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.965
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.207
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.587
GPT teacher head0.580
Teacher spread0.007 · 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 designOther design
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

Citations6
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Clinical NursingSame topicHealth and Medical Research ImpactsFrench-language works237,207