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Enregistrement W7133072959

Exploring the Quality and Experience of Care at the End of Life for Patients from Ethnocultural Minority Backgrounds

2023· dissertation· W7133072959 sur OpenAlexfundaboutno aff
Ayah Nayfeh

Notice bibliographique

RevueTSpace · 2023
Typedissertation
Langue
DomaineMedicine
ThématiquePalliative Care and End-of-Life Issues
Établissements canadiensnon disponible
Organismes subventionnairesSocial Sciences and Humanities Research Council of CanadaDepartment of Medicine, University of TorontoUniversity of Toronto
Mots-clésObservational studyQuality (philosophy)PerceptionQualitative researchEnd-of-life carePopulationQuality of life (healthcare)Qualitative propertyPatient satisfaction
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background: Optimal end-of-life care is achieved when patients receive medical treatment that is aligned with their values and preferences for care. However, with an increasingly multi-cultural and multi-ethnic Canadian society, there are also increasingly diverse beliefs and values that inform high quality care at the end of life. This three-project dissertation aimed to explore factors that influence perceptions around the quality and experience of care at the end of life for patients from ethnocultural minority backgrounds in acute care settings. Methods: This dissertation employed a sequential explanatory mixed-methods research design. For the quantitative strand (Project 1), observational survey-based analysis was used to measure satisfaction with the quality of end-of-life care for patients from ethnocultural minority backgrounds. Findings from the survey-based analysis were used to identify and purposefully select a specific patient population subgroup for further qualitative exploration. For the qualitative strand (Project 2), a multiple case study design using semi-structured interviews was conducted with bereaved family members of seriously ill patients to gain an in-depth understanding of factors that influence perceptions around the quality and experience of end-of-life care. Finally, a systematic literature review (Project 3) was conducted in four electronic databases to understand the availability and effect of end-of-life decision-making tools on patient and family-related outcomes among racial and ethnic, cultural and religious minorities. Results: Among n=1,543 survey respondents, we found that satisfaction with the quality of care at the end of life was likely lower among Muslim patients (relative risk (RR) 0.46, 95%CI 0.21-1.02, p=0.056) or when there were language/communication barriers between families and healthcare providers (RR 0.49 95%CI 0.23-1.06, p=0.069). Qualitative interviews with n=5 bereaved family members of Muslim patients revealed four central themes that influenced perceptions around the quality and experience of care at the end of life: trust and confidence in the healthcare team overseen by medical experts; quality communication with medical experts; achieving patient goals of care; and dignity of care and respect for cultural and religious values. Patient culture, religion and religiosity did not appear to have a major influence on the medical decision-making process between patients, their families, and the healthcare team. Target areas identified for quality-of-care improvement included: communication, cultural respect, and emotional and psychological well-being for patients. A systematic review of the literature identified five types of tools (advance care planning programs; healthcare provider-led interventions; educational tools; decision aides; and communication strategies) that could be used to support end-of-life decision-making with patients and families of ethnocultural minority backgrounds. These tools demonstrated impact on documentation of end-of-life care plans, reduced preferences for life-prolonging care, and improved perceptions around the quality of patient-clinician communication and patient quality of life. Conclusion: Among ethnocultural minority patients, satisfaction with the quality of end-of-life care appeared lower among bereaved family members of Muslim patients compared to other religious affiliations. Trust and confidence, communication and information giving, and dignity of care, including cultural respect and patient well-being, emerged as important domains for improving the quality and experience of care at the end of life for the Muslim patient population. We identified several tools to support end-of-life decision-making with ethnocultural minority populations with impact on patient and family-related outcomes. Future research should seek to pilot and/or co-design – in close collaboration with patients, families and healthcare providers – communication tools, interventions and quality indicators to address gaps identified through this research.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,020
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,013
Score d'incertitude au seuil0,049

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,020
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0020,002
Communication savante0,0030,002
Science ouverte0,0010,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,392
Tête enseignante GPT0,500
Écart entre enseignants0,109 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations0
Publié2023
Routes d'admission2
Résumé présentoui

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