MétaCan
Menu
Back to cohort
Record W2945494337 · doi:10.5430/jha.v8n3p50

Introducing the physician associate role in Ireland: Evaluation of a hospital based pilot project

2019· article· en· W2945494337 on OpenAlexvenueno aff
Pauline Joyce, Roderick S. Hooker, Denni Woodmansee, Arnold D. Hill

Bibliographic record

VenueJournal of Hospital Administration · 2019
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsWorkforceIrishNursingStakeholderWork (physics)Inclusion (mineral)Health careMedicinePromulgationFamily medicinePublic relationsPsychologyPolitical science

Abstract

fetched live from OpenAlex

Objective: Ireland has medical workforce challenges and a growing demand for services. One strategy is to include Physician Associates (PAs) in healthcare settings. A pilot study was undertaken with PAs recruited from North America and the United Kingdom to work in a large Dublin teaching hospital.Methods: Four PAs were deployed on surgical services. Communication with the hospital staff preceded their employment. A series of interviews were undertaken at the beginning [2015] and end [2017] of the project. Data collection included surveys and interviews with staff and PAs.Results: Despite a series of communications about the employment of PAs a lack of awareness among hospital staff prevailed. This presented a challenge for the PAs to assume their role and for staff to bring them on board. Once on board those staff who worked with the PAs found their role beneficial in terms of continuity of care and skillset. Recommendations for inclusion of PAs in any new employment should include a more robust stakeholder engagement and promulgation throughout the wider healthcare system.Conclusion: Attitudes about the adoption of the PA have come slowly when first introduced in a country and Ireland seems no exception. At the same time communication lessons were learned about introducing a new health provider role in Irish society.

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)0.004
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.301

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.034
GPT teacher head0.399
Teacher spread0.366 · 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 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

Citations9
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Hospital AdministrationSame topicNursing Roles and PracticesFrench-language works237,207