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Record W2953044920 · doi:10.1111/inr.12527

Systems leadership doctor of nursing practice: global relevance

2019· review· en· W2953044920 on OpenAlexaff
Freida Chavez, Tracy Kelly, Judith Kunisch, Ann Kurth

Bibliographic record

VenueInternational Nursing Review · 2019
Typereview
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsNursingRelevance (law)MedicineMEDLINENurse AdministratorPsychologyPolitical science

Abstract

fetched live from OpenAlex

AIM: This article considers the systems leadership doctor of nursing practice degree as an option to increase nursing leadership roles and heighten presence at policy tables globally, particularly in low- and middle-income countries. Recent global reports emphasize core competencies needed for nursing leadership, particularly systems leadership and health policy, to successfully move the global health agenda forward. Using the Yale University School of Nursing programme as an exemplar, this paper is focused on the elements directly linked to leadership competencies and relevance of a systems leadership doctor of nursing practice programme globally. BACKGROUND/INTRODUCTION: The dramatic growth and wide variability of doctor of nursing practice programmes offered in all 50 US States have generated questions and debate. According to the American Association of Colleges of Nursing as of May 2018, there are 121 schools that reported having a leadership focus in postmaster's doctor of nursing practice degree offering. Yet there has not been the same enthusiasm for development and implementation for a practice doctorate in nursing across the globe. SOURCES OF EVIDENCE: A narrative literature review was conducted aimed at addressing the relevance of a practice doctorate globally. This analysis of the literature included a search of peer-reviewed and grey literature. Nursing school websites were visited, and opinions of nurse leaders and students were sought. In addition, global reports that supported nursing leadership and their role in policy development were reviewed. DISCUSSION/CONCLUSION: Globally, nurses have a critical role in leading health systems. Developing a cadre of nurse leaders educated at the doctoral level who can communicate with policymakers and develop strategies to meet health systems' goals is necessary. IMPLICATIONS FOR NURSING, HEALTH AND EDUCATION POLICY: In recent global health reports and campaigns, strengthening nursing leadership and presence at policymaking tables are recurring themes. Offering a systems leadership doctor of nursing practice degree is one viable option to increase doctorally prepared nurse leaders for nursing policy and practice engagement. This calls for work with country and regional governments, regulatory bodies and nursing associations to empower nursing to contribute fully.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.718
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.230
GPT teacher head0.500
Teacher spread0.271 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2019
Admission routes1
Has abstractyes

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