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Enregistrement W4302760591 · doi:10.4414/smw.2022.w30223

A national survey of Swiss paediatric oncology care providers’ cross-cultural competences

2022· article· en· W4302760591 sur OpenAlex
Milenko Rakic, Heinz Hengartner, Sonja Lüer, Katrin Scheinemann, Bernice S. Elger, Michael Rost

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueSwiss Medical Weekly · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCultural Competency in Health Care
Établissements canadiensMcMaster UniversityMcMaster Children's Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineCompetence (human resources)Cultural competenceNursingCross-sectional studyFamily medicineCultural diversityCross-culturalHealth carePsychology

Résumé

récupéré en direct d'OpenAlex

BACKGROUND AND PURPOSE: Culturally diverse countries such as Switzerland face the challenge of providing cross-cultural competent care. Cross-cultural competent care needs an understanding of a patient's cultural context in order to provide safe and effective care. Therefore, we sought to examine cross-cultural competence of Swiss paediatric oncology care providers, and to explore their perceptions of barriers to and facilitators of cross-culturally competent care. DESIGN AND SAMPLE: We conducted a cross-sectional study. The data collection period was three weeks. Providers were recruited through collaborators at the participating paediatric oncology centres. All occupational groups who are in direct contact with patients and involved in their care were eligible (e.g., physicians, nurses, social workers, occupational therapists and physiotherapists). Surveying providers online, we captured five subscales of their cross-cultural competence and their perceptions as to how to facilitate cross-culturally competent paediatric oncology care. We employed the Cross-Cultural Competence of Healthcare Professionals (CCCHP) questionnaire. Besides descriptive and inferential statistics, we performed content analysis. FINDINGS: The response rate was 73.2% (n = 183/250). Analyses revealed differences in cross-cultural competence between occupational groups of paediatric oncology providers. Overall, social workers' cross-cultural competence was higher than nurses' or occupational therapists' and physiotherapists' cross-cultural competence. Physicians' cross-cultural competence was higher than nurses (with no statistically significant difference identified between physicians, occupational therapists and physiotherapists). Furthermore, our results suggest noteworthy differences among the four main occupational groups on the five CCCHP subscales. Physicians and social workers declared more positive attitudes than nurses; occupational therapists and physiotherapists reported lower skills than the other three groups; social workers scored higher on the emotions and empathy subscale than the other three groups; physicians were more knowledgeable and aware than nurses. Most frequently mentioned barriers were: language barriers (68.5%), different culture and values (19.2%), different illness understanding (9.2%). Most frequently mentioned facilitators were: professional translators (47.2%), continuous training (20.8%), professional cultural mediators (8.8%). CONCLUSIONS/IMPLICATIONS: Trainings and interventions are widely considered a principal strategy to advance providers' cross-cultural competence. Our findings of differences in cross-cultural competence among occupational groups further underpin the need to adapt training programmes and interventions to the respective occupational group and the respective dimension(s) of cross-cultural competence. In addition, professional translators and cultural mediators should be used. Lastly, reciprocal supervision and the promotion of multidisciplinary teams is crucial to enable oncology care providers to learn from each other and this exchange could also help to reduce some of the differences between the various occupational groups.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,009
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Études des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,189
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,009
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,071
Tête enseignante GPT0,425
Écart entre enseignants0,353 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle