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Record W7126506539

Barrières et facilitateurs rencontrés par le personnel infirmier des services courants des CLSC ruraux lors d'urgence nécessitant un transfert vers un centre hospitalier

2025· other· fr· W7126506539 on OpenAlexaboutno aff
Camille Bisson-Cauchon

Bibliographic record

VenueSémaphore (Université du Québec à Rimouski) · 2025
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTechnology transferWestern europeRural development
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ : Cette recherche qualitative collaborative explore les moyens pour mieux soutenir le personnel infirmier des services courants des CLSC ruraux lors de situations d’urgence nécessitant un transfert vers un centre hospitalier. Les personnes collaboratrices, considérées comme des membres de l'équipe de recherche, incluaient des membres des équipes locales de quatre CLSC ruraux de la région de Chaudière-Appalaches. Le devis de recherche reposait sur une étude de cas multiples. Les entretiens et visites dans ces milieux visaient à mieux comprendre les dynamiques liées à la gestion des urgences. Les résultats, analysés à l’aide d’un cadre écosystémique (Smith et al., 2019), ont permis d’identifier des barrières et des facilitateurs, ainsi que des caractéristiques aux situations d’urgence, telles que l’environnement où elles se déroulent, leur imprévisibilité et leur rareté. Ces caractéristiques interagissent avec les obstacles et éléments facilitants, révélant la nature multidimensionnelle et complexe de la gestion des urgences en milieu rural. Les barrières et facilitateurs identifiés sont davantage présents dans la microsphère et la mésosphère. Ce constat permet de réaliser que les équipes infirmières et les personnes gestionnaires locales peuvent avoir un impact important pour influencer ces éléments. La comparaison entre un CLSC insulaire et isolé avec d’autres CLSC éloignés ou très éloignés, mais accessibles par route, a mis en lumière des distinctions importantes en termes de barrières et de facilitateurs. Cette recherche a permis de cerner des besoins spécifiques pour mieux outiller le personnel infirmier face aux urgences. Parmi les priorités identifiées figurent : l’importance d’une formation initiale, continue et pratique adaptée au contexte rural et aux situations d'urgence; le recours au mentorat pour soutenir le personnel novice; et l’intégration de services de télésanté pour renforcer le soutien clinique. En somme, cette recherche contribue aux connaissances québécoises sur la pratique infirmière en milieu rural en contexte d’urgence. Elle souligne l’importance de comprendre les particularités et les besoins des communautés rurales afin de concevoir des solutions et des outils adaptés à leurs réalités. Ces résultats offrent des pistes concrètes pour améliorer la préparation et le soutien des équipes infirmières, tout en favorisant une meilleure équité dans l’accès aux soins d’urgence pour les populations rurales. -- Mot(s) clé(s) en français : CLSC, Services courants, soutien, besoin, outiller, soins infirmiers, urgence, ruralité, transferts. -- ABSTRACT : This collaborative qualitative research explores ways to support nursing staff in the general services of rural CLSCs during emergency situations requiring transfers to a hospital. The collaborators, considered as members of the research team, included members of local teams from four rural CLSCs in the Chaudière-Appalaches region. A multiple case study design was used. Interviews and site visits aimed to better understand the dynamics of emergency management in these settings. The findings, analyzed through an ecosystems framework (Smith et al., 2019), identified barriers, facilitators, and specific characteristics of emergencies, such as the environment in which they occur, their unpredictability, and their rarity. These characteristics interact with barriers and facilitating factors, revealing the multidimensional and complex nature of emergency management in rural settings. The identified barriers and facilitators are predominantly situated within the microsphere and mesosphere levels. This observation underscores the significant impact that nursing teams and local managers can have on influencing these elements. A comparison between an isolated insular CLSC and other remote or very remote CLSCs accessible by road highlighted important distinctions in terms of barriers and facilitators. This research also identified specific needs to better equip nursing staff in managing emergencies. Key priorities include the importance of initial, ongoing, and practical training tailored to the rural context and emergency situations; the use of mentorship to support novice staff; and the integration of telemedicine services to strengthen clinical support. In conclusion, this research contributes to Quebec's knowledge on rural nursing practice in emergency contexts. It emphasizes the importance of understanding the specificities and needs of rural communities to develop solutions and tools tailored to their realities. These findings offer concrete pathways to improve the preparedness and support of nursing teams while promoting greater equity in access to emergency care for rural populations. -- Mot(s) clé(s) en anglais : CLSC, general services, support, needs, tools, nursing care, emergency, rurality, transfers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.097
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.004
Scholarly communication0.0060.003
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.001

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 head0.006
GPT teacher head0.189
Teacher spread0.182 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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