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Record W2949237868 · doi:10.12927/cjnl.2019.25852

Rural and Remote Licensed Practical Nurses' Perception of Working Below Their Legislated Scope of Practice

2019· article· en· W2949237868 on OpenAlexafffundvenueabout
Martha MacLeod, Julie Kosteniuk, Kelly Penz, Janna Olynick, Chandima Karunanayake, Davina Banner, Erin Wilson, Judith C. Kulig, Mary Ellen Labrecque, Pertice Moffitt, Sharleen Jahner, Leana Garraway

Bibliographic record

VenueNursing leadership · 2019
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of ReginaSaskatchewan Health AuthorityUniversity of LethbridgeAurora CollegeUniversity of SaskatchewanUniversity of Northern British Columbia
FundersCanadian Institutes of Health Research
KeywordsScope (computer science)Scope of practiceAutonomyPerceptionWork (physics)Statement of workRural areaNursingBusinessPsychologyPublic relationsMedical educationMedicinePolitical scienceComputer scienceEngineering

Abstract

fetched live from OpenAlex

Over the past two decades in Canada, licensed or registered practical nurses (LPNs) have experienced an extension of their educational preparation and scope of practice. Simultaneously, there has been an increase in the number of LPNs employed in rural and remote communities. These changes have influenced the practice environment and LPNs' perceptions of their work. The aim of this article is to examine what factors predict rural and remote LPNs' perceptions of working below their legislated scope of practice and to explore their perceptions of working below scope. The findings arise from a national survey of rural and remote regulated nurses, in which 77.3% and 17.6% of the LPNs reported their practice as within and as below their legislated scope of practice, respectively. Three factors, age, stage of career and job-resources related to autonomy and control, predicted that LPNs would perceive themselves to be working below their scope of practice. These results suggest that new ways to communicate nurses' scope of practice are needed, along with supports to help rural and remote LPNs more consistently practice to their legislated scope of practice. Without such changes, the LPN role cannot be optimized and disharmony within rural and remote settings may be exacerbated.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.508
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.218
GPT teacher head0.450
Teacher spread0.232 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations13
Published2019
Admission routes4
Has abstractyes

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