Medical education for equity in health: a participatory action research involving persons living in poverty and healthcare professionals
Notice bibliographique
Résumé
BACKGROUND: Improving the knowledge and competencies of healthcare professionals is crucial to better address the specific needs of persons living in poverty and avoid stigmatization. This study aimed to explore the needs and expectations of persons living in poverty and healthcare professionals in terms of medical training regarding poverty and its effects on health and healthcare. METHODS: We conducted a participatory action research study using photovoice, a method using photography, together with merging of knowledge and practice, an approach promoting dialogue between different sources of knowledge. Nineteen healthcare professionals and persons from an international community organization against poverty participated in the study. The first phase included 60 meetings and group sessions to identify the perceived barriers between persons living in poverty and healthcare teams. In the second phase, sub-committees deployed action plans in academic teaching units to overcome barriers identified in the first phase. Data were analysed through thematic analysis, using NVivo, in collaboration with five non-academic co-researchers. RESULTS: Four themes in regard to medical training were highlighted: improving medical students' and residents' knowledge on poverty and the living conditions of persons living in poverty; improving their understanding of the reality of those people; improving their relational skills pertaining to communication and interaction with persons living in poverty; improving their awareness and capacity for self-reflection. At the end of the second phase, actions were undertaken such as improving knowledge of the living conditions of persons living in poverty by posting social assistance rates, and tailoring interventions to patients' reality by including sociodemographic information in electronic medical records. Our findings also led to a participatory research project aiming to improve the skills and competency of residents and health professionals in regard to the quality of healthcare provided to persons living in poverty. CONCLUSIONS: Medical training and residency programs should aim to improve students' and residents' relational skills, more specifically their communication skills, as well as their awareness and capacity for self-reflection, by helping them to identify and recognize their biases, and limitations.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,019 | 0,051 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».