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Record W2797053360 · doi:10.5430/jnep.v8n9p12

Relating Almutairi’s critical cultural competence model for healthcare providers transitioning to Qatar

2018· article· en· W2797053360 on OpenAlexaffvenue
Cathy MacDonald, Jessie Johnson, Rianne Carragher, Marti Harder, Linda Oliver

Bibliographic record

VenueJournal of Nursing Education and Practice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsThompson Rivers UniversityVancouver Island UniversitySt. Francis Xavier University
Fundersnot available
KeywordsCultural competenceHealth careCompetence (human resources)MulticulturalismNarrativeMiddle EastNursingQualitative researchMiddle classSociologyPublic relationsPsychologyMedicinePedagogyPolitical scienceSocial psychologySocial science

Abstract

fetched live from OpenAlex

Healthcare providers can be enticed to work in the Middle East due to fascinations with the culture, wealth, and opportunities for personal and professional development. Working in multicultural healthcare environments requires addressing complexities with cultural hierarchies, religion, class systems, and gender. It also requires understanding of the region’s history, as well as knowledge about cultural and social norms. The authors use qualitative accounts, from lived experiences to illuminate their transition to work in Qatar. Upon reflection of their experiences, the authors recommend using a Critical Cultural Competence model as a guide for healthcare providers undergoing transition and longer-term adaptation for promoting cultural safety for healthcare providers and their patients. Some authors of this article have previously published “Recommendations for healthcare providers preparing to work in the Middle East: A Campinha-Bacote cultural competence model approach” (Journal of Nursing Education and Practice, 2017). However, after reflecting upon their experiences as nurse educators living in the Middle East, the authors concluded that Almutairi, Dahinten, and Rodney’s (2015) Critical Cultural Competence Model is more suitable for health care providers transitioning to Qatar. This model addresses necessary elements needed to transition to a new culture, but also includes personal narratives and experiences, which maybe helpful to transitioning to work in another culture. Almutairi et al.’s model (2015) reconceptualises and enriches the concept of transitioning to Middle Eastern multicultural contexts. The aim of this paper is to provide recommendations using Almutairi et al.’s Cultural Competence Model to assist healthcare providers in transitioning to work in Qatar. Another aim is to provide guidance for healthcare professional development in multicultural contexts. Discussion as to how the model may foster a more relevant approach will ensue. Experiential knowledge and narratives are threaded throughout the paper to provide a lived account of the use of this Critical Cultural Competence model by healthcare workers, who have transitioned to the Middle East.

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)0.015
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0080.013
Scholarly communication0.0090.008
Open science0.0020.009
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.219
GPT teacher head0.543
Teacher spread0.324 · 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 designNot applicable
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
Published2018
Admission routes2
Has abstractyes

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