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Enregistrement W4415210515 · doi:10.1186/s12875-025-02997-6

The dual impact of social prescribing: targeting social determinants to enhance quality of life in chronic conditions

2025· article· en· W4415210515 sur OpenAlexaff
Rosanne Freak‐Poli, Alessandra K. Teunisse, Htet Lin Htun, Leanne Wells, Vaishnavi Sudhakar, Paula Muis, James Baker

Notice bibliographique

RevueBMC Primary Care · 2025
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueArt Therapy and Mental Health
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésQuality of life (healthcare)Dual (grammatical number)Social determinants of healthQuality (philosophy)Social supportSocial isolation

Résumé

récupéré en direct d'OpenAlex

Chronic diseases are heavily influenced by social determinants of health (SDoH), requiring care that extends beyond medical interventions to address underlying issues. Social prescribing, which connects individuals to community resources, offers holistic care complementary to health systems. However, social prescribing requires context-specific tailoring and ongoing evaluation to meet community needs. To evaluate a 12-week social prescribing intervention targeting SDoH for individuals with, or at risk of developing chronic disease on health-related quality of life, general wellbeing, mental wellbeing, self-reported health, and healthcare utilisation. A secondary aim was to assess participant satisfaction with social prescribing. A pre-post design using de-identified data collected from an ongoing intervention. Eligibility included adults in south-east New South Wales who presented to their General Practitioner (GP) with, or at risk of, chronic disease and completed the intervention between July 1, 2022, and June 30, 2024. The social prescribing model involved link workers and participants co-designing individualised plans based on their needs and interests, conducted either in-person or by telephone consultations. Outcome measures collected pre- and post-intervention included health-related quality of life, self-reported health, general wellbeing, mental wellbeing, and healthcare utilisation. The study included 281 participants (mean age 57.7 years, 66.6% female). Significant improvements were observed in health-related quality of life (p < 0.001, Cohen’s d = 0.645), self-reported health (p < 0.001, Cohen’s d = 0.709), general wellbeing (p < 0.001, Cohen’s d = 0.438), and mental wellbeing (p < 0.001, Cohen’s d = 0.723). These benefits were consistent across binary gender and age groups. A non-significant trend toward reduced healthcare utilisation was observed. Participants reported high satisfaction with the program (9.27/10), with 75% stating they would not change it and a high likelihood (9.53/10) of recommending it to others. Social prescribing addressing SDoH improved health-related quality of life, wellbeing, and self-reported health for adults with, or at risk of developing, chronic diseases. This study is the first Australian evaluation of social prescribing demonstrating benefits on general wellbeing and mental wellbeing, with future analysis planned to explore impacts among Australia’s specific cultural and linguistic groups. N/A. Many people with long-term health conditions need more than just medical treatment to feel better and improve their quality of life. While doctors focus on physical health, issues like food insecurity and loneliness can greatly affect quality of life. Social prescribing works alongside regular healthcare, by offering the opportunity to refer patients to link workers. Link workers connect participants with community services that enhance quality of life. These services can directly impact life quality—like food programs, social groups, and housing support. A key feature is that link workers and participants co-design personalised prescriptions that address multiple quality of life domains simultaneously that can include multiple community programs and services (rather than single clinical programs), enabling them to address various social determinants of health. Although this approach has shown promise internationally, we don't know if it works as well in Australia's unique setting. This study asked whether a 12-week social prescribing program could improve quality of life, health, and wellbeing for Australian adults living with or at risk of chronic diseases. We also asked whether participants were satisfied with the program. Our results showed that people had improved quality of life, better physical and mental health, and less stress and anxiety after completing the program. They also tended to use fewer healthcare services, suggesting potential cost savings. Participants reported high satisfaction with the program, with 75% stating they would not change it and were likely to recommend it to others. These findings are the first to show that social prescribing can successfully improve wellbeing and quality of life for Australians with chronic diseases, providing the opportunity for people to take better control of their health through community support.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,810
Score d'incertitude au seuil0,553

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,049
Tête enseignante GPT0,384
Écart entre enseignants0,335 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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