Codesigning person‐centred quality indicators with diverse communities: A qualitative patient engagement study
Notice bibliographique
Résumé
INTRODUCTION: Effective engagement of underrepresented communities in health research and policy remains a challenge due to barriers that hinder participation. Our study had two objectives: (1) identify themes of person-centred care (PCC) from perspectives of diverse patients/caregivers that would inform the development of person-centred quality indicators (PC-QIs) for evaluating the quality of PCC and initiatives to improve PCC and (2) explore innovative participatory approaches to engage ethnocultural communities in qualitative research. METHODS: Drawing on participatory action research methods, we partnered with a community-based organization to train six 'Community Brokers' from the Chinese, Filipino, South Asian, Latino-Hispanic, East African and Syrian communities, who were engaged throughout the study. We also partnered with the provincial health organization to engage their Patient and Family Advisory, who represented further aspects of diversity. We conducted focus group discussions with patients/caregivers to obtain their perspectives on their values, preferences and needs regarding PCC. We identified themes through our study and engaged provincial stakeholders to prioritize these themes for informing the development of PC-QIs and codesign initiatives for improving PCC. RESULTS: Eight focus groups were conducted with 66 diverse participants. Ethnocultural communities highlighted themes related to access and cost of care, language barriers and culture, while the Patient and Family Advisory emphasized patient and caregiver engagement. Together with provincial stakeholders, initiatives were identified to improve PCC, such as codesigning innovative models of training and evaluation of healthcare providers. CONCLUSION: Incorporating patient and community voices requires addressing issues related to equity and understanding barriers to effective and meaningful engagement. PATIENT OR PUBLIC CONTRIBUTION: Patient and public engagement was central to our research study. This included partnership with a community-based organization, with a broad network of ethnocultural communities, as well as the provincial health service delivery organization, who both facilitated the ongoing engagement of diverse patients/caregiver communities throughout our study including designing the study, recruiting participants, collecting and organizing data, interpreting findings and mobilizing knowledge. Drawing from participatory action research methods, patients and the public were involved in the codesign of the PC-QIs and initiatives to improve PCC in the province based on the findings from our study.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 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 ».