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Record W3112504972 · doi:10.32481/djph.2017.03.011

A Primary Care Nursing Perspective on Chronic Disease Prevention and Management

2017· article· en· W3112504972 on OpenAlexaboutno aff
Cynthia D. Griffin

Bibliographic record

VenueDelaware Journal of Public Health · 2017
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)NursingMedicinePrimary careChronic diseaseIntensive care medicineNursing managementFamily medicineComputer science

Abstract

fetched live from OpenAlex

According to the American Academy of Ambulatory Care Nursing (AAACN), Ambulatory care nursing is a unique realm of specialized nursing practice. RNs in the ambulatory setting are leaders in their practice settings and are uniquely qualified to influence organizational standards related to patient safety and care delivery in the outpatient setting.5 RNs in the inpatient setting are highly regarded as critical thinkers often implementing and providing care utilizing the steps of the nursing process which promote excellent quality care. As more and more patients transition from inpatient to outpatient settings, there is a greater demand for professional nursing services in the outpatient settings. RNs can utilize the same steps of the nursing process, which include assessment, nursing diagnosis, planning, implementing, and evaluation in caring for individuals in the outpatient setting. Tools used to provide care are order sets, protocols, and care plans. Primary Care offices can utilize registered nurses in day to day patient care delivery, education, self-management support, chronic disease care management and care coordination of services, and oversight and collaboration of panels of individuals. Providing these services will make a positive impact on patient outcomes and will prevent chronic diseases. In Canada, payment models have recently been implemented in primary care to address the increasing burden that patients with chronic diseases place on the Canadian healthcare system.4

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.111
GPT teacher head0.505
Teacher spread0.394 · 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

Citations25
Published2017
Admission routes1
Has abstractyes

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