Prescribing Nature for Human Health: An Examination of Public Interest, Barriers, and Enablers Related to Nature Prescription Programming in Canada
Notice bibliographique
Résumé
• Adoption of nature prescription programming to address health challenges through increased contact with nature is unprecedented globally and especially in Canada. • Very limited studies focus on public awareness of, interest in, and the barriers and enablers to participation in nature prescription programs. • We find that while public awareness of such programmes is very low, interest is very high if a trusted healthcare professional suggested that nature contact would be good for an individual's health. • Several barriers to the participation in nature prescription programs exist and are particularly acute for Newcomers to Canada, the BIPOC community, young people, individuals who self-identify, and individuals with children. • To harness the full potential of nature prescriptions, enablers such as health insurance coverage, free access to parks, and free transportation should be used to enhance evidence-based and inclusive programming. Nature prescriptions are emerging as a promising preventive healthcare strategy. Despite their proliferation in recent years, limited research exists on public awareness, interest, and the factors that may influence the success of such programs. For the first time in the Canadian context, we examine public awareness of nature prescription programs and explore the barriers and enablers that may impact their uptake. Using a cross-sectional, online survey of 3,593 respondents, we reveal that over 75% of participants would be more likely to visit natural areas if recommended by a healthcare professional. However, more than 92% of respondents reported being unaware of nature prescription programs. We also reveal several structural, intrapersonal, and interpersonal barriers to accessing nature, which are particularly pronounced for certain subpopulations, including Newcomers, BIPOC, young adults, individuals who self-identify, and individuals with children. We identify the key enablers that could reduce such barriers, including health insurance coverage, free park access, and subsidized transportation. Finally, we discuss the ways in which strategically employing these enablers could help reduce disparities in access to nature and enhance the overall effectiveness of nature prescription programs as they expand in Canada and indeed globally. Effectively leveraging the high levels of public trust and expertise that exist within both the healthcare and conservation sectors in the co-design of programs, as well as more effective policy uptake by health insurance providers, will be essential to advancing this promising frontier in preventative health care and nature conservation.
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 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) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».