Nature-based social interventions for people experiencing loneliness: the rationale and overview of the RECETAS project
Loneliness is a major social concern with health consequences worldwide for populations across different demographic, cultural, social, economic, geographic, and environmental contexts. In March 2021, we launched Horizon 2020 European Commission-funded project, ‘Reimagining Environments for Connecti...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Pompeu Fabra |
| Repositorio: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/60503 |
| Acceso en línea: | http://hdl.handle.net/10230/60503 http://dx.doi.org/10.1080/23748834.2023.2300207 |
| Access Level: | acceso abierto |
| Palabra clave: | Nature-based social prescribing Loneliness Health-related quality of life Program planning Social connectedness Intervention studies |
| Sumario: | Loneliness is a major social concern with health consequences worldwide for populations across different demographic, cultural, social, economic, geographic, and environmental contexts. In March 2021, we launched Horizon 2020 European Commission-funded project, ‘Reimagining Environments for Connection and Engagement: Testing Actions for Social Prescribing in Natural Spaces (RECETAS)’ to reduce loneliness and promote health-related quality of life. In this paper, we present the project logic model, informed by stakeholder input, that aims to guide the initiative from its design and implementation to its evaluation in six cities across three continents, including Europe (Barcelona, Helsinki, Marseille, Prague), Australia (Melbourne), and South America (Cuenca). This model is being used to guide the implementation and evaluation of nature-based social prescribing interventions. Process and outcome measures will be used to compare outcomes in different settings and population contexts. The use of a logic model with stakeholder input ensures that the interventions are responsive to local needs, sustainable, and transferable to other geographic, social, economic, and cultural contexts. Knowledge translation will be central to maximising impacts on population health, civil society, and health and social systems in urban areas. |
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