Evidence map›Paper›PMID 41835927›Full record

ReviewBMJ public health2026

From fragmentation to integration: can social prescribing bridge the gap between multimorbidity and mental health in an ageing population?

Daniel E Radford-Smith, Daniel C Anthony

Abstract readReview
In one paragraph

Review in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Daniel E Radford-SmithDepartment of Pharmacology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-8781-7459
Daniel C AnthonyDepartment of Pharmacology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-1380-6655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Older adults frequently experience depression alongside physical multimorbidity, with mutual reinforcement through biological, behavioural and social mechanisms. Traditional models of care often address these conditions in isolation, resulting in fragmented services poorly suited to the complex realities of ageing. Social prescribing has emerged in the UK as a potential solution, offering structured referrals from healthcare to community-based resources. While its theoretical promise aligns well with the needs of older adults, the evidence base remains limited, and current implementation strategies often fail to match individuals to interventions effectively. This narrative review explores how social prescribing might evolve to bridge the gap between mental health and multimorbidity in later life. Using depression and metabolic syndrome as a case example, we examine shared inflammatory mechanisms, barriers to behavioural change and the risks of individualising structural disadvantage. We propose a future framework in which social prescribing is supported by complexity-sensitive evaluation tools, including patient-reported outcome measures, biomarker-informed stratification and artificial intelligence-driven narrative assessment. We also highlight the critical role of integrated care systems in developing the community infrastructure necessary to sustain these interventions equitably. By reframing social prescribing as part of a broader public health strategy rooted in integration and prevention, we argue it can move beyond symbolic appeal to become a meaningful component of multimorbidity care in older adults.

Indexed as

Community Health PlanningDepressionPreventive MedicinePreventive PsychiatrySocial Medicine

Identifiers

PMID41835927
PMCPMC12983783

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.