Imagining an Equitable Mental Health Ecosystem: Co-designing with Immigrant Women to Encourage Mental Health through Nature Interaction in an Urban Context
Notice bibliographique
Résumé
Immigrants currently represent a quarter of the Canadian population, and this continues to increase as more people move due to social, financial, political, and environmental causes. However, this population experiences a considerable decline in their health over time upon their arrival; thus, making immigrant health a crucial public health issue. Immigrant women in specific experience a variety of stressors including employment, family support, and cultural shock regarding gender roles, which put their mental health at high risk. Therefore, mental health inequities should be tackled by putting equity and intersectionality front and center. The wide amount of literature supporting the benefits of nature interaction on mental and physical health (Birch et al., 2020; Kotera et al. 2020; Lorentzen & Viken, 2022; Shanahan et al., 2015) makes it a promising method to support the mental health of immigrant women, as well as the overwhelmed health system. Based on the complexity of the health issue identified, this design research project aimed to use a participatory approach to gather key insights from immigrant women to acquire an understanding of the needs and potential interventions to achieve accessible nature interactions for public mental health. For this study, twenty-one immigrant women from various geographical backgrounds living across the Greater Toronto Area were recruited to participate in one-on-one interviews and two co-design sessions. These activities revealed that immigrant women indeed experience positive emotions as a result of nature interactions. However, they also experience barriers like distance, time, and lack of information that keep them from engaging with nature more often. Furthermore, their participation also uncovered key areas of concern in the immigrant experience, which contribute to a high amount of daily stress, and little to no time for self-care and emotional relief. Using systems design tools during the co-design sessions served to identify the main areas of challenge for this population across the system, as well as specific values and practices that participants would like to see across system scales. The emergent character of the design research approach used, led to the development of an Equitable Mental Health Ecosystem model (see Figure 1). This model is a service design ecosystem that could facilitate equitable mental health by providing alignment to mental health providers and major funding bodies through three sets of foundational values and practices that guarantee equitable and intentional support for a diverse population. Acknowledging the mental and social burdens behind the immigrant experience, adopting the proposed model can be life-changing to those populations that for decades, have encountered barriers in their mental health-seeking journey. In conclusion, this study approaches a complex community health topic to propose a service ecosystem model that attempts to make mental health care accessible, resilient, community-driven, sustainable, and equitable.
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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 | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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.
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