Evidence map›Paper›PMID 37086427›Full record

ArticleJournal of medical Internet research2023

Global Trends in Social Prescribing: Web-Based Crawling Approach.

Hocheol Lee, Sang Baek Koh, Heui Sug Jo, Tae Ho Lee, Hae Kweun Nam, Bo Zhao, Subeen Lim, Joo Aeh Lim, Ho Hee Lee, Yu Seong Hwang and 2 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Digital social prescribing: a concept analysis.Frontiers in public health · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Global psychiatrists' opinions aboutPCN reports : psychiatry and clinical neurosciences · 2025
    Article
  13. Advancing social prescribing in Singapore: an update on progress.The Lancet regional health. Western Pacific · 2024
    Article
  14. 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

12 authors.

Hocheol LeeDepartment of Health Administration, Software Digital Healthcare Convergence College, Yonsei University, Wonju, Republic of Korea.ORCID 0000-0003-1467-8843
Sang Baek KohDepartment of Preventive Medicine, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.ORCID 0000-0001-5609-6521
Heui Sug JoDepartment of Health Policy and Management, Kangwon National University School of Medicine, Chuncheon, Republic of Korea.ORCID 0000-0003-0245-3583
Tae Ho LeeKorea Industry Development Institute, Gangneung, Republic of Korea.ORCID 0000-0001-5957-3629
Hae Kweun NamDepartment of Preventive Medicine, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.ORCID 0000-0002-3353-6990
Bo ZhaoYonsei Global Health Center, Yonsei University, Wonju, Republic of Korea.ORCID 0000-0002-6780-1633
Subeen LimYonsei Global Health Center, Yonsei University, Wonju, Republic of Korea.ORCID 0000-0001-8352-8385
Joo Aeh LimYonsei Global Health Center, Yonsei University, Wonju, Republic of Korea.ORCID 0000-0002-0229-9726
Ho Hee LeeDepartment of Preventive Medicine, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.ORCID 0000-0003-3943-890X
Yu Seong HwangDepartment of Health Policy and Management, Kangwon National University School of Medicine, Chuncheon, Republic of Korea.ORCID 0000-0001-8934-3533
Dong Hyun KimDepartment of Information Statistics, Yonsei University, Wonju, Republic of Korea.ORCID 0009-0005-8433-153X
Eun Woo NamDepartment of Health Administration, Software Digital Healthcare Convergence College, Yonsei University, Wonju, Republic of Korea.ORCID 0000-0002-3517-6247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial loneliness is a prevalent issue in industrialized countries that can lead to adverse health outcomes, including a 26% increased risk of premature mortality, coronary heart disease, stroke, depression, cognitive impairment, and Alzheimer disease. The United Kingdom has implemented a strategy to address loneliness, including social prescribing-a health care model where physicians prescribe nonpharmacological interventions to tackle social loneliness. However, there is a need for evidence-based plans for global social prescribing dissemination.

objectiveThis study aims to identify global trends in social prescribing from 2018. To this end, we intend to collect and analyze words related to social prescribing worldwide and evaluate various trends of related words by classifying the core areas of social prescribing.

methodsGoogle's searchable data were collected to analyze web-based data related to social prescribing. With the help of web crawling, 3796 news items were collected for the 5-year period from 2018 to 2022. Key topics were selected to identify keywords for each major topic related to social prescribing. The topics were grouped into 4 categories, namely Healthy, Program, Governance, and Target, and keywords for each topic were selected thereafter. Text mining was used to determine the importance of words collected from new data.

resultsWord clouds were generated for words related to social prescribing, which collected 3796 words from Google News databases, including 128 in 2018, 432 in 2019, 566 in 2020, 748 in 2021, and 1922 in 2022, increasing nearly 15-fold between 2018 and 2022 (5 years). Words such as health, prescribing, and GPs (general practitioners) were the highest in terms of frequency in the list for all the years. Between 2020 and 2021, COVID, gardening, and UK were found to be highly related words. In 2022, NHS (National Health Service) and UK ranked high. This dissertation examines social prescribing-related term frequency and classification (2018-2022) in Healthy, Program, Governance, and Target categories. Key findings include increased "Healthy" terms from 2020, "gardening" prominence in "Program," "community" growth across categories, and "Target" term spikes in 2021.

conclusionsThis study's discussion highlights four key aspects: (1) the "Healthy" category trends emphasize mental health, cancer, and sleep; (2) the "Program" category prioritizes gardening, community, home-schooling, and digital initiatives; (3) "Governance" underscores the significance of community resources in social prescribing implementation; and (4) "Target" focuses on 4 main groups: individuals with long-term conditions, low-level mental health issues, social isolation, or complex social needs impacting well-being. Social prescribing is gaining global acceptance and is becoming a global national policy, as the world is witnessing a sharp rise in the aging population, noncontagious diseases, and mental health problems. A successful and sustainable model of social prescribing can be achieved by introducing social prescribing schemes based on the understanding of roles and the impact of multisectoral partnerships.

Indexed as

COVID-19AgedHumansInternetLonelinessSocial IsolationState Medicineaging populationdigital health interventionGoogle Trendhealth care modelhealth care professionalimplementationNational Health ServiceNPIprimary caresocial lonelinesssocial prescribingsustainable modelweb-based dataweb crawling

Identifiers

PMID37086427
PMCPMC10242464

What OpenQuestion 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 OpenQuestion graph.