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Record W3112529884 · doi:10.3917/rsi.142.0111

Trajectoire et vécu des personnes traitées pour un infarctus du myocarde en région éloignée : étude exploratoire descriptive

2020· article· fr· W3112529884 on OpenAlexaff
Marie-Ève Poitras, Mélissa Lavoie

Bibliographic record

VenueRecherche en soins infirmiers · 2020
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsUniversité du Québec à ChicoutimiUniversité de Sherbrooke
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Introduction : Cardiovascular disease is on the rise and is the second leading cause of death among Canadians. Background : The care pathway followed by myocardial infarction patients in remote areas has an impact on their continuity of care.Objective : To describe the care pathway of myocardial infarction patients living in a remote area.Methods : A qualitative formative research design was used. Two samples were created, the first comprising sixteen people who had undergone a percutaneous transluminal coronary angioplasty, and the second made up of four health professionals working in Family Medicine Groups (FMGs).Results : Eight steps were identified and three priority needs were raised, namely : 1) understanding the pathway of care and services ; 2) effectively communicating health information to the various establishments ; and 3) setting up follow-up by FMG health professionals when the patient returns home.Discussion : Nurses play a key role in all steps of the pathway and in meeting patients’ needs.Conclusion : The care and service pathway are suboptimal but the same for participants from this remote area.

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)0.014
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0020.002

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 head0.438
GPT teacher head0.475
Teacher spread0.038 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2020
Admission routes1
Has abstractyes

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