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Record W7056402782

Explore the potential of having Physician Assistants (PAs) working in critical care in Manitoba – A literature review

2020· dissertation· en· W7056402782 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2020
Typedissertation
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsnot available
Fundersnot available
KeywordsStaffingHealth careMEDLINEScopusCritical care nursingCritical appraisalDuty
DOInot available

Abstract

fetched live from OpenAlex

Intro: Critical care medical staffing has been an emerging issue due to the change in the IPS standard and the ACGME resident duty hour restrictions. Currently, no PAs is working in Manitoba's critical care. Due to the health care system transformation, implementing PAs to critical care is a possible solution to achieve financial sustainability for Manitoba health care. Methods: Articles evaluated for this literature review were collected using Scopus and PubMed with searching keywords mainly include "physician assistant", “intensive care”, "critical care" and "cost-effectiveness". Results: 143 articles were found through the searching engine, of which 9 articles were identified relevant to PAs effects in critical care, 7 articles were relevant to PAs cost effectiveness. Conclusion: Based on the review, PAs are proven to be safe and adequate in providing patient care in critical care compared to other traditional providers. PAs are economically efficient in many medicine subspecialties and in-direct data is supporting PA's cost effectiveness in ICU. Thus, implementing PAs into critical care in Manitoba could positively contribute to critical care staffing in the midst of the provincial health care system transformation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.250
Teacher spread0.212 · 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 designBench or experimental
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

Citations0
Published2020
Admission routes1
Has abstractyes

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