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Record W2507386272 · doi:10.1186/s12913-016-1687-9

The CHAP-EMS health promotion program: a qualitative study on participants’ views of the role of paramedics

2016· article· en· W2507386272 on OpenAlexaff
Madison Brydges, Margaret Denton, Gina Agarwal

Bibliographic record

VenueBMC Health Services Research · 2016
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsHealth Sciences CentreMcMaster University
Fundersnot available
KeywordsThematic analysisQualitative researchMedicineHealth informaticsNursingNursing researchEmergency medical servicesExploratory researchMedical educationPsychologyPublic healthMedical emergencySociology

Abstract

fetched live from OpenAlex

BACKGROUND: Expanded roles for paramedics, commonly termed community paramedicine, are becoming increasingly common. Paramedics working in community paramedicine roles represent a distinct departure away from the traditional emergency paradigm of paramedic services. Despite this, little research has addressed how community paramedics are perceived by their clients. METHODS: This study took an interpretivist qualitative approach to examine participants' perceptions of paramedics providing a community paramedicine program, named the Community Health Assessment Program through Emergency Medical Services (CHAP-EMS). Both participant observation and semi-structured interviews conducted with program participants were used to gain insight into the on-the-ground experiences of the program. Thematic analysis was employed to analyze all data. RESULTS: Three themes emerged: i) Caring and trusting relationships; ii) paramedics as health advocates; iii) the added value of EMS skills. Paramedics were perceived by residents as having dual identities: first in a novel role as health advocates and secondly in a traditional role as emergency experts despite lacking contextual features associated with emergency response. CONCLUSIONS: From this exploratory, qualitative study we present an emerging framework in which to conceptualize paramedic roles in community paramedicine settings. Future research should address the saliency of these roles in different contexts and how these roles relate to paramedic practice.

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)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.266
GPT teacher head0.570
Teacher spread0.304 · 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

Citations64
Published2016
Admission routes1
Has abstractyes

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