Evidence map›Paper›PMID 42282094›Full record

ReviewCampbell systematic reviews2026

Effects of Social Prescribing for Older Adults: An Evidence and Gap Map.

Elizabeth Tanjong Ghogomu, Vivian Welch, Mojde Yaqubi, Omar Dewidar, Victoria Barbeau, Sierra Dowling, Yanfei Li, Hind Sabri, Mohamed Elmestekawy, Esam Aljufri and 22 more

Abstract readReview
In one paragraph

Review in Campbell systematic reviews, 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

32 authors.

Elizabeth Tanjong GhogomuBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0002-0130-0182
Vivian WelchBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0002-5238-7097
Mojde YaqubiDepartment of Sociology and Anthropology, Carleton University, Ottawa, ON, Canada.
Omar DewidarBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.
Victoria BarbeauBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0002-6291-3863
Sierra DowlingBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.
Yanfei LiBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.
Hind SabriBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.
Mohamed ElmestekawyBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.
Esam AljufriBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.
Bernia AliyarBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.
Yuewen PanBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.
Abdulah Al AmeerBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0001-6179-747X
Ali Al ZubaidiUniversity College Cork, Cork, Ireland.
Mostafa BondokDepartment of Surgery, Section of Ophthalmology, University of Calgary, Calgary, Canada.ORCID https://orcid.org/0000-0002-7567-8962
Waleed KojanThe University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA.
Mohamad Tarek MadaniBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.
Kathy TongBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.
Adedeji IrefinBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.
Isha Roi RampersadBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0009-0003-7325-2516
Zoe TsaiBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0002-4664-0025
Fatima JahelBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.
Srija BiswasCanadian Institute of Social Prescribing, Canadian Red Cross, Toronto, ON, Canada.
Kiffer G CardFaculty of Health Sciences, Simon Fraser University, Vancouver, BC, Canada.
Sonia HsiungCanadian Institute of Social Prescribing, Canadian Red Cross, Toronto, ON, Canada.
Caitlin MuhlSchool of Nursing, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0002-9878-3319
Michelle L A NelsonBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0003-2002-0298
Douglas M SalzwedelDepartment of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0003-0115-862X
Marianne SaragosaLunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada.
Cindy YuDepartment of Surgery, Section of Ophthalmology, University of Calgary, Calgary, Canada.ORCID https://orcid.org/0000-0001-9622-1964
Kate MulliganCanadian Institute of Social Prescribing, Canadian Red Cross, Toronto, ON, Canada.
Paul HébertBruyère Health Research Institute, University of Ottawa, Ottawa, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many factors such as declining physical function, low socioeconomic status and unemployment play a role in the complex health and social needs of older adults. While healthcare providers can assist in treating health conditions, non-clinical interventions are most likely needed to meet their social needs and improve wellbeing. Social prescribing has been introduced to help primary care providers and other connectors meet patient's social needs that contribute to poor health and inequalities. With the increasing recognition of these complex challenges, decision-makers need to know which social prescribing interventions or social prescriptions are effective for older adults. Objectives: To map the available evidence on the effectiveness of social prescribing interventions and social prescriptions addressing a non-medical health-related need for older adults in clinical and community settings. Search Methods: We searched the following databases from inception until November 14, 2023, with no language restrictions: Ovid MEDLINE, Embase, EBM Reviews, Elsevier Scopus, Epistemonikos, CABI CAB Direct, NIHR PROSPERO, WHO Global Index Medicus, Clarivate Web of Science Social Sciences Citation Index (SSCI), Conference Proceedings, Clarivate Korean Citation Index (KCI), Clarivate SciELO Citation Index and Google Scholar via Harzing Publish or Perish. Selection Criteria: Titles and abstracts and full text of potentially eligible articles were independently screened in duplicate for systematic reviews and studies with concurrent control groups assessing the effectiveness of social prescribing and social prescription interventions on the wellbeing of older adults. Conflicts were resolved through consensus. Data Collection and Analysis: We developed and pilot-tested a data collection form in EPPI-Reviewer. Data was extracted and coded individually by reviewers based on an intervention-outcome framework which was also used to define the dimensions of the evidence and gap map. Data extraction was validated by a second reviewer for 20%. We assessed the quality of reviews using the AMSTAR2 tool. The quality of primary studies was not assessed. Main Results: We included 662 articles (430 primary studies, 232 reviews) that assessed the effectiveness of social prescribing interventions or social prescriptions targeting non-medical health-related social needs of older adults to improve their health and wellbeing. Over 65% of the articles were published in 2019 or later.AMSTAR2 quality was rated as critically low for 55%, low for 31%, moderate for 6% and high for only 4% of systematic reviews. Of the included primary studies, 48% were randomized controlled trials and 52% were non-randomized studies.Most of the evidence was from high-income countries (78% of reviews and 93% of primary studies), few from upper-middle (25% of reviews and 5% of primary studies), and lower-middle (9% of reviews and 3% of primary studies) countries, and none from low-income countries (0%). The most common intervention types identified were psychosocial (e.g. social and emotional support interventions), with 81% of reviews and 63% of primary studies including these interventions, lifestyle (exercise on prescription) with 45% of reviews and 30% of primary studies including these interventions, and arts-based (museums, galleries, arts & crafts), with 29% of reviews and 20% of primary studies including these interventions. These were followed by material support in 13% of reviews and 7% of primary studies, and nature-based interventions in 10% of reviews and 4% of primary studies. Ninety-eight percent of the reviews and 95% of the primary studies focused on assessing the impact on individual outcomes (e.g. participant wellbeing/quality of life), with 41% of reviews and 47% of primary studies assessing process outcomes (e.g. participant satisfaction), and 27% of both reviews and primary studies looking at health system outcomes (e.g. health/social service use). Eleven percent of reviews and primary studies looked at adverse effects, and no studies assessed health equity as a community outcome.Key characteristics of social prescribing interventions or social prescriptions were described in few included articles; codesign of the interventions in 6% of reviews and 15% of primary studies, while participant empowerment was described in 24% of reviews and 19% of primary studies.Most articles focused on a population at risk of or experiencing inequity (91% of reviews and 96% of primary studies). Less than 10% of both reviews and primary studies conducted any equity analysis to assess differential effects for populations experiencing inequities across factors such as age, gender or ethnicity. Authors’ Conclusions: Most of the available evidence on social prescribing and social prescription was on psychosocial and health system interventions; there is limited research on material support and nature-based interventions. Furthermore, despite the aims of social prescribing or social prescription to empower communities and reduce health inequalities, there are few studies that assess community-level outcomes or adverse effects. There is a need for more research in low-middle-income countries and for high-quality reviews. This map can help identify priorities for further research and promote the use of existing evidence in policy and practice. Abbreviations and Acronyms: EGM = evidence and gap map.GP = general practitioner.LGBTQIA2S+: lesbian, gay, bisexual, transgender, queer (or sometimes questioning), intersex, asexual, and two-spirited.PICO: population, intervention, comparison, outcome. PROGRESS-Plus: Place of residence (urban/rural), Race/ethnicity/culture and language, Occupation, Gender or sex, Religion, Occupation, Socioeconomic status, Social capital and Plus factors.WHO = World Health Organization.

Indexed as

evidence and gap mapolder adultssocial prescribingsocial prescription

Identifiers

PMID42282094
PMCPMC13251852

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Registered trials

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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 OpenQuestion graph.