Evidence map›Paper›PMID 42085615›Full record

ArticleJMIR aging2026

Integrating Community and Digital Support Through Social Prescribing to Improve Mental Health in Rural Older Adults in South Korea: Quasi-Experimental Study.

Bo Zhao, Joo Aeh Lim, Subeen Lim, Hye Jin Yoon, Hae Kyung Kim, Seok Mi Hong, Xinyu Zhang, Eun Woo Nam

Abstract read
In one paragraph

Article in JMIR aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Digital social prescribing: a concept analysis.Frontiers in public health · 2026
    Review
  2. Article
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

8 authors.

Bo ZhaoDepartment of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China.ORCID http://orcid.org/0000-0002-6780-1633
Joo Aeh LimYonsei Global Health Center, Yonsei University, Wonju, Republic of Korea.ORCID http://orcid.org/0000-0002-0229-9726
Subeen LimYonsei Global Health Center, Yonsei University, Wonju, Republic of Korea.ORCID http://orcid.org/0000-0001-8352-8385
Hye Jin YoonGangwon Public Health Policy Institute, Wonju, Republic of Korea.ORCID http://orcid.org/0009-0007-8291-2933
Hae Kyung KimGraduate School of Health Science, Yonsei University, Wonju, Republic of Korea.ORCID http://orcid.org/0000-0002-1505-3573
Seok Mi HongSaje Primary Health Care Post, Wonju, Republic of Korea.ORCID http://orcid.org/0000-0002-8968-9320
Xinyu ZhangGraduate School of Health Science, Yonsei University, Wonju, Republic of Korea.ORCID http://orcid.org/0009-0001-4336-7860
Eun Woo NamYonsei Global Health Center, Yonsei University, Wonju, Republic of Korea.ORCID http://orcid.org/0000-0002-3517-6247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental health issues such as depression, loneliness, and cognitive decline are prevalent among older adults. They are particularly pronounced in rural areas due to socioeconomic disadvantages, limited health literacy, and social isolation. These challenges have been exacerbated by the COVID-19 pandemic, highlighting the urgent need for accessible, community-based mental health strategies. Social prescribing-linking individuals to nonmedical community resources-offers a promising model, especially when coupled with culturally relevant and digitally facilitated interventions. Objective: This study aimed to evaluate the effectiveness of a pilot social prescribing project for individuals aged 65 years and older residing in rural South Korea. Specifically, it examined the changes in social support, loneliness, depression, cognitive function, and life satisfaction among the older adults before and after the intervention and the relationships among these factors. Methods: A quasi-experimental, nonequivalent control group pretest-posttest design was conducted with 294 participants from Wonju City, Gangwon-do (n=148 in the experimental group, n=146 in the control group). The 8-week intervention featured a community-based music storytelling program incorporating local cultural elements and digital education. Statistical analyses, including t tests, difference-in-differences analysis, and structural equation modeling, were conducted to evaluate changes in scores and the effectiveness of the program intervention. Results: The study confirmed that the social prescribing pilot project effectively reduced depression and increased social support and life satisfaction compared with the control group (P<.05, 95% CI). While cognitive function showed slight improvement, the change was not statistically significant. Social support emerged as a key mediating factor, positively influencing cognitive function and life satisfaction, and was negatively associated with depression. There was no statistically significant direct effect found between loneliness and cognitive function or social support. Conclusions: This pilot study supports the feasibility and mental health benefits of integrating community and digital support through culturally embedded social prescribing for rural older adults. The findings highlight the importance of leveraging local resources and social networks to address mental health disparities in underserved aging populations, offering valuable insights for policymakers and practitioners developing inclusive aging and health promotion strategies.

Indexed as

Mental HealthRural PopulationSocial PrescribingSocial SupportAgedAged, 80 and overDepressionDigital MediaFemaleHumansLonelinessMalePersonal SatisfactionPilot ProjectsRepublic of Koreacognitive functioncommunity-based interventionculturally tailored care.digital healthmental healthrural older adultssocial prescribingsocial support

Identifiers

PMID42085615
PMCPMC13143163

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.