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Enregistrement W4409337311 · doi:10.5334/ijic.icic24278

Addressing stigma, mistrust, and power within integrated care work: Example of an underserved vulnerable population in a Canadian city 

2025· article· en· W4409337311 sur OpenAlexaboutno aff
Chi‐Ling Joanna Sinn, Anthea Innes, Meghan Gilfoyle, Wendy Renault, Solene Abdulla, Lindsay Klea, Zain Pasat, Andrew P. Costa

Notice bibliographique

RevueInternational Journal of Integrated Care · 2025
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueHealthcare innovation and challenges
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésStigma (botany)Work (physics)Integrated carePopulationPower (physics)MedicineNursingPsychologySociologyPolitical scienceHealth careEnvironmental healthPsychiatryEngineering

Résumé

récupéré en direct d'OpenAlex

Background: Integrated care is about removing barriers to effective, coordinated, and person-centred care. Often, the language used to describe barriers revolves around fragmentation, for example, siloed care delivery or communication gaps. However, even the joining-up of services will not achieve the ideal of “the right care at the right time in the right place” without addressing other barriers to accessing care. These barriers include stigma, discrimination, mistrust, and power imbalances that operate at all levels (micro to macro), and directly and indirectly (via health inequity) contribute to poor health. In our project, we focus on an underserved vulnerable population living and working in a community-based congregate setting (residential care facilities; RCFs) in a Canadian city. RCF residents often have complex and multi-layered needs, which may include mental health and/or addictions, history of homelessness or precarious living, or both. As well, the majority of staff are personal support workers who are mostly women and among the lowest paid care workers in the health care system. Issues such as stigma affect the everyday lives of residents and staff. Despite the needs of this population, historically, RCFs have not been included in health system planning. Objectives: We are working on a three-year project in collaboration with the Greater Hamilton Health Network and a ~40-member group including health, social, and housing partners. The first phase is about comprehensively gathering information on the population health needs, system gaps, and opportunities. Ultimately, we seek to co-design, implement, and evaluate a model of integrated primary care across several RCFs. In this workshop, we will share our project journey from proposal development to present-day, including findings from two sub-studies: (1) Semi-structured interviews were conducted with 20 RCF operators and 20 organizations/individuals providing support to RCF residents, (2) Ethnographic fieldwork was used to understand resident and staff perspectives from several RCFs. We will utilize our project to highlight issues related to stigma, mistrust, and power as well as facilitators such as relationship building and joint working. Audience: Through this workshop, we hope to engage with health and social care organizations/providers, policymakers, administrators, people with lived experiences (i.e., living or working in congregate care settings), caregivers, researchers, and anyone who is passionate about health equity. The 90-minute workshop will be structured as follows: 5 minutes: Introduction 15 minutes: Project overview 10 minutes: Small group discussion - What does person-centred integrated care look like from your perspective? 15 minutes: Interviews (methods & findings) 10 minutes: Small group discussion - How do the issues we share from our findings resonate with your experiences? What is similar/different? 15 minutes: Fieldwork (methods & findings) 10 minutes: Small group discussion - How do the issues we share from our findings resonate with your experiences? What is similar/different? 10 minutes: Group reflection & closing Outcome: Using this Canadian example, workshop participants will consider and understand practical tips/approaches from different perspectives on how to identify and address barriers (e.g., stigma, power imbalances) and facilitators (e.g., trust, joint working) of equitable access to integrated care.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,690
Score d'incertitude au seuil0,675

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,105
Tête enseignante GPT0,392
Écart entre enseignants0,287 · 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.

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

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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