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Record W4292289507 · doi:10.12688/hrbopenres.13545.2

Potential for Paramedic roles in Irish General Practice: A qualitative study of stakeholder’s perspectives

2022· preprint· en· W4292289507 on OpenAlexaff
Tomás Barry, Alan M Batt, Gina Agarwal, Matthew Booker, Mary Casey, Geoff McCombe

Bibliographic record

VenueHRB Open Research · 2022
Typepreprint
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsMcMaster UniversityImpactFanshawe College
FundersIrish College of General PractitionersNational Institute for Health and Care ResearchHealth Research BoardWellcome TrustWellcome
KeywordsIrishThematic analysisStakeholderNursingQualitative researchPsychologyPublic relationsMedicinePolitical scienceSociologySocial science

Abstract

fetched live from OpenAlex

<ns4:p> <ns4:bold>Background</ns4:bold> : Irish health policy emphasises the role of Primary Care and General Practice however, there is a growing shortage of General Practitioners (GPs) in Ireland. Paramedics have traditionally focused on emergency care in the community. More recently Paramedics have taken on roles in General Practice in international jurisdictions, but not yet in Ireland. This study aimed to explore key stakeholder perceptions of ‘the potential for Paramedic roles in Irish General Practice’. </ns4:p> <ns4:p> <ns4:bold>Methods</ns4:bold> : We conducted an exploratory, qualitative stakeholder consultation study incorporating in-depth semi structured telephone interviews followed by thematic analysis. Interviews were conducted with a total of eighteen participants that included six senior Paramedics (Advanced Paramedics), seven General Practitioners (GPs), three Practice Nurses and two Practice Managers. </ns4:p> <ns4:p> <ns4:bold>Results</ns4:bold> : Participants in this study expressed polarised views on the potential for Paramedic roles in Irish General Practice. Paramedics were enthusiastic, highlighting opportunity for professional development and favourable working conditions. GPs, Practice Nurses and Managers were more circumspect and had concerns that Paramedic scope and skillset was not currently aligned to General Practice care. GPs, Practice Nurses and Managers emphasised a greater role for expanded General Practice Nursing. There were varied perceptions on what the potential role of a Paramedic in General Practice might entail, but consensus that Government support would be required to facilitate any potential developments. </ns4:p> <ns4:p> <ns4:bold>Conclusions</ns4:bold> : The findings of this research can inform future development of novel roles in Irish General Practice and suggests that there is appetite from within the Paramedic profession to pursue such roles. A pilot demonstration project, grounded in an action research framework could address data gaps and potential concerns. Any future developments should occur in tandem with and with due consideration for the expansion of General Practice Nursing in Ireland. </ns4:p>

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativehigh
grokno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativehigh
opusno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativehigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.008
metaresearch head score (Gemma)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.004
Research integrity0.0000.002
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 head0.375
GPT teacher head0.586
Teacher spread0.211 · 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

Labeled directly by 3 models reading the full record.

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

Citations8
Published2022
Admission routes1
Has abstractyes

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