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Enregistrement W2122544319 · doi:10.5430/jnep.v2n2p24

Evaluating the utility of the FamCHAT ethnocultural nursing assessment tool at a Canadian tertiary care hospital: A pilot study with recommendations for hospital management

2012· article· en· W2122544319 sur OpenAlexafffundvenueabout
Gina Higginbottom

Notice bibliographique

RevueJournal of Nursing Education and Practice · 2012
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCultural Competency in Health Care
Établissements canadiensUniversity of Alberta
Organismes subventionnairesFaculty of Nursing, University of AlbertaCanadian Institutes of Health ResearchUniversity of Alberta
Mots-clésNursingFocus groupRelocationHealth careDescriptive statisticsQualitative propertyMedicinePsychologyFamily medicineSociology

Résumé

récupéré en direct d'OpenAlex

Objectives: The multicultural nature of Canadian society and the decline in health of immigrants after relocation toCanada prioritizes a commitment to ensure equity in health care access and outcomes. An important feature shaping healthcare access and outcomes is the reception of culturally safe and competent care. Partnering with senior management at atertiary care hospital, this pilot study aimed to investigate whether an identified cultural assessment tool, the FamilyCultural Heritage Assessment Tool (FamCHAT), validated for use in a rural primary care setting, was suitable for use intertiary care. The objectives were to investigate: 1) whether using the FamCHAT enabled the nurses to elicit assessmentinformation from their patients who represent diverse ethnocultural groups, and 2) the nurses’ perspectives on the practicaluse of this form in their clinical practice. Methods: Nurses purposively selected from the Women’s, Surgery and Medicine units were asked to complete theFamCHAT form with all patients admitted during a three-month period in 2009. Focus group interviews were then held tolearn the nurses’ perspectives related to the form’s constructs and its use in their practice. The data from the completedFamCHAT forms were tabulated and analyzed using descriptive statistics to determine the extent of completion andaccuracy, and the sample characteristics. The interview data was analyzed using qualitative analytical software (ATLAS.tiScientific Software Development, GmbH, Germany) and Roper and Shapira’s framework for analysis of ethnographicdata. Results: The nurses filled out forty-four FamCHAT forms with patients having a diverse ethnocultural profile. In manyforms, several questions were either left blank or answered incorrectly with regard to the guidance notes containingcategorical answers for the variables of family size and language. Nine nurses participated in two focus groups (n = 4 andn = 5) and one in an individual interview. Five themes emerged from the qualitative data analysis: feasibility of using theFamCHAT in acute care practice; ethnocultural awareness needs of the participating nurses; perspectives of nurses aboutpatient concerns; potential for enhancement to nursing care assessments; and suggestions for enhancing and facilitating anew tool or approach. Nurses participating in the interviews thought that the constructs within FamCHAT could be useful for enhancing nursing assessments in their practice, but thought the tool was too long, was repetitive to some of theircurrent assessment data, and had questions many patients were uncomfortable answering. One option suggested in bothfocus groups was to embed the most useful constructs into existing assessment frameworks. Some of the variables werethought to be of limited relevancy for some nursing specialties. Conclusions: The findings provided valuable information for the hospital management in their efforts to revise nursingassessment tools. Consideration is being given to integrating some of the constructs into their existing nursing assessment,with recognition that each unit might benefit from different approaches. Other, systematic, approaches to enhancingcultural competency also need to be considered. This study highlights the importance of validating practice tools for use insettings that differ from those used for their original development.

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.

Comment cette classification a été obtenuedéplier

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)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,266
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,184
Tête enseignante GPT0,528
Écart entre enseignants0,344 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2012
Routes d'admission4
Résumé présentoui

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