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Contextual Factors Influencing the Evolution of Nurses' Roles in a Primary Health Care Clinic

2009· article· en· W2097539113 on OpenAlexafffund
Barbara Paterson, Linda Duffett‐Leger, Kathleen Cruttenden

Bibliographic record

VenuePublic Health Nursing · 2009
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsLaurentian UniversityUniversity of New Brunswick
FundersCanadian Nurses Foundation
KeywordsNursingNarrativeContext (archaeology)PoliticsQualitative researchPsychologyHealth careParticipant observationMedicineSociologyPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVES: The purpose of the research was to explore the everyday experiences and responses of stakeholders of a university-sponsored nurse-managed clinic (CHC) in regard to how nurses' roles in the clinic changed over time and the factors that influenced this change. DESIGN AND SAMPLE: The research used a qualitative interpretive description design to interpret participants' accounts of their experience and perspectives as constructed narratives. The participants (N=23) included clients, community members who were volunteers at the CHC, staff of other community agencies or organizations, and nursing or social work students who had a clinical learning experience at the CHC. MEASURES: Data collection involved two interviews, one semistructured, face-to-face interview at the location selected by the participant, and a group interview held in a boardroom at the CHC. Each interview lasted approximately 60-90 min. RESULTS: The research findings revealed the profound effects of the social, political, and economic context in determining nurses' roles within a nurse-managed primary health care clinic. The evolution of nursing roles occurred in reaction to these effects, causing the nurses within the CHC to juggle their priorities and commitments. CONCLUSIONS: The study provides a contemporary example of the political activism work of nurses that is often invisible and illustrates how the commitment of primary health care nurses to social justice contributes in a significant way to the resolution of health inequities experienced by marginalized populations.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.053
GPT teacher head0.383
Teacher spread0.330 · 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

Citations11
Published2009
Admission routes2
Has abstractyes

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