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Record W2110313961 · doi:10.12927/cjnl.2006.18050

Processes of Care: Comparison between Nurse Practitioners and Physician Residents in Acute Care

2006· article· en· W2110313961 on OpenAlexaffvenue
Souraya Sidani, Diane Doran, Heather B. Porter, Sandra LeFort, Linda O’Brien‐Pallas, Catherine Zahn, Heather Spence Laschinger, Sonia Sarkissian

Bibliographic record

VenueNursing leadership · 2006
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNursingAcute careMedicineNurse practitionersPsychologyFamily medicineHealth carePolitical science

Abstract

fetched live from OpenAlex

The purpose of this study was to compare the processes of care (performance of role functions, provision of comprehensive care, coordination of services) of acute care nurse practitioners (ACNPs) and physician residents (PRs) assigned to various medical and surgical programs in acute care settings. A cross-sectional comparative design was used. ACNPs (n = 31) and PRs (n = 10) completed the study questionnaire within two weeks of consenting. Patients who received ACNP care (n = 320) and those who received PR care (n = 46) completed the questionnaire within one week of discharge. The results indicate that ACNPs engaged in management and informal coordination activities more than PRs did, while PRs engaged in more formal coordination activities compared to ACNPs. ACNPs encouraged more patient participation in care and provided more patient education than PRs. These findings, which reflect differences in the processes used by ACNPs and PRs to provide care to patients, could influence the quality and cost outcomes expected of these two groups of healthcare providers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.151
GPT teacher head0.444
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), 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

Citations27
Published2006
Admission routes2
Has abstractyes

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