Evidence map›Paper›PMID 33306032›Full record

ArticleJournal of medical Internet research2020

Using an Ontology to Facilitate More Accurate Coding of Social Prescriptions Addressing Social Determinants of Health: Feasibility Study.

Anant Jani, Harshana Liyanage, Cecilia Okusi, Julian Sherlock, Uy Hoang, Filipa Ferreira, Ivelina Yonova, Simon de Lusignan

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO).Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Community Activities in Primary Care: A Literature Review.Journal of primary care & community health
    Review
4 · The record

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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.

Anant Jani *Oxford Martin School, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-7046-6768
Harshana LiyanageDepartment of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-9738-6349
Cecilia OkusiDepartment of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5575-8527
Julian SherlockDepartment of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-7427-1936
Uy HoangDepartment of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8428-5140
Filipa FerreiraDepartment of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-7717-8486
Ivelina YonovaDepartment of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-4856-3075
Simon de LusignanDepartment of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8553-2641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNational Health Service (NHS) England supports social prescribing in order to address social determinants of health, which account for approximately 80% of all health outcomes. Nevertheless, data on ongoing social prescribing activities are lacking. Although NHS England has attempted to overcome this problem by recommending 3 standardized primary care codes, these codes do not capture the social prescribing activity to a level of granularity that would allow for fair attribution of outcomes to social prescribing.

objectiveIn this study, we explored whether an alternative approach to coding social prescribing activity, specifically through a social prescribing ontology, can be used to capture the social prescriptions used in primary care in greater detail.

methodsThe social prescribing ontology, implemented according to the Web Ontology Language, was designed to cover several key concepts encompassing social determinants of health. Readv2 and Clinical Terms Version 3 codes were identified using the NHS Terms Browser. The Royal College of General Practitioners Research Surveillance Centre, a sentinel network of over 1000 primary care practices across England covering a population of more than 4,000,000 registered patients, was used for data analyses for a defined period (ie, January 2011 to December 2019).

resultsIn all, 668 codes capturing social prescriptions addressing different social determinants of health were identified for the social prescribing ontology. For the study period, social prescribing ontology codes were used 5,504,037 times by primary care practices of the Royal College of General Practitioners Research Surveillance Centre as compared to 29,606 instances of use of social prescribing codes, including NHS England's recommended codes.

conclusionsA social prescribing ontology provides a powerful alternative to the codes currently recommended by NHS England to capture detailed social prescribing activity in England. The more detailed information thus obtained will allow for explorations about whether outputs or outcomes of care delivery can be attributed to social prescriptions, which is essential for demonstrating the overall value that social prescribing can deliver to the NHS and health care systems.

Indexed as

Clinical CodingFeasibility StudiesFemaleHumansMalePrimary Health CareSocial Determinants of Healthclinical informaticsontologysocial determinants of healthsocial prescribing

Identifiers

PMID33306032
PMCPMC7762682

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LicenceCC BY
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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.