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Record W4309827404 · doi:10.12968/jpar.2022.14.11.464

Paramedics’ perspectives of the community paramedic role in Ontario, Canada

2022· article· en· W4309827404 on OpenAlexaffabout
Gina Agarwal, Melissa Pirrie, Ricardo Angeles, Francine Marzanek, Amelia Keenan, Brent McLeod, Krista Cockerell, Buck Reed

Bibliographic record

VenueJournal of Paramedic Practice · 2022
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsMcMaster UniversityImpact
Fundersnot available
KeywordsAmbulance serviceEmergency Care PractitionerCombat Medical TechnicianMajor traumaMedicineContinuing professional developmentPsychologyNursingFamily medicineMedical emergencyMedical educationProfessional development

Abstract

fetched live from OpenAlex

Background: Community paramedicine (CP) expands the paramedic role to emergency call prevention, yet little research has examined paramedics’ perspectives of CP. Aims: This study sought to explore paramedics’ views regarding the CP role and training. Methods: A cross-sectional, web-based survey of Ontario paramedics measured perceptions, support and interest in CP. Descriptive and regression analyses were conducted. Findings: Of the 452 participants, 57.5% were male, 43.6% primary care paramedics and 33.0% had a history of being on modified duty. Paramedics perceived CP to include treat-and-release (85.4%), community resource referrals (79.0%), expanded skills (77.9%), community education (75.9%) and follow-up (73.7%). Most were supportive (82.8%) and interested in participating (72.3%). Interest in training was lower in respondents with 20 or more years of service and higher in those with a history of modified duty (p<0.05). Conclusion: Paramedics are aware the CP role has multiple functions and are supportive and interested in CP. This study has implications for services as CP expands globally.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
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 integrity0.0000.004
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 head0.017
GPT teacher head0.289
Teacher spread0.272 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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