American Journal of Advanced Multidisciplinary Innovation and Research
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Volume 7 Issue 5
September-October 2026
Indexing Partners
Social Prescribing Pathways for Reducing Nonclinical Health Burdens
| Author(s) | Prof. Genevieve Dingle |
|---|---|
| Country | United States |
| Abstract | Primary-care consultations frequently involve concerns that cannot be resolved through diagnosis, medication, or clinical treatment alone. Loneliness, social isolation, insecure housing, financial difficulty, unemployment, transport barriers, caregiving responsibilities, low confidence, limited community participation, and difficulty navigating welfare or support services may influence health while lying partly outside the conventional boundaries of medical care. Social prescribing has emerged as one pathway for connecting people presenting in primary care with nonclinical community resources. Rather than prescribing a standardized activity, many social-prescribing models use a link worker or community connector to understand an individual's priorities, identify available assets, and support engagement with appropriate voluntary, social, welfare, cultural, physical-activity, or community services. Earlier systematic reviews, however, cautioned that enthusiasm for social prescribing had developed faster than the quality of its effectiveness evidence. Bickerdike and colleagues found substantial methodological weaknesses in early evaluations, while later reviews continued to report heterogeneous interventions and outcomes. The present study develops a simulation-based model examining whether different social-prescribing pathways may reduce a composite Nonclinical Health-Burden Index. Because no original participant dataset was supplied, 600 synthetic primary-care cases were modeled across three pathways: information-only signposting, link-worker referral, and a supported community pathway combining link-worker engagement with active follow-through into community resources. Numerical findings are therefore methodological illustrations rather than estimates of clinical effectiveness. All three modeled pathways began with a mean burden score of 70. The conceptual model proposes that social prescribing is most likely to reduce nonclinical burden when referral is converted into genuine engagement. Research with service users has indicated that personalized link-worker support can strengthen confidence, social connection, problem solving, and engagement with health-promoting activities, while realist and qualitative research emphasizes trusting relationships, accessible community assets, practical support, and appropriate referral as important mechanisms. The study therefore distinguishes passive signposting from a pathway in which nonclinical needs are identified, prioritized, matched to local support, and followed through. |
| Keywords | social prescribing; primary care; nonclinical health burden; link workers; social determinants of health; community referral; social isolation; patient engagement |
| Field | Engineering |
| Published In | Volume 4, Issue 4, July-August 2023 |
| Published On | 2023-08-28 |
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E-ISSN XXXX-XXXXCrossRef DOI prefix of AJAMIR is 10.00000/AJAMIR
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