Suppr超能文献

使用本体论促进更准确地编码解决健康社会决定因素的社会处方:可行性研究。

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

机构信息

Oxford Martin School, University of Oxford, Oxford, United Kingdom.

Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.

出版信息

J Med Internet Res. 2020 Dec 11;22(12):e23721. doi: 10.2196/23721.

Abstract

BACKGROUND

National 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.

OBJECTIVE

In 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.

METHODS

The 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).

RESULTS

In 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.

CONCLUSIONS

A 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.

摘要

背景

英国国民保健制度(NHS)支持社会处方,以解决健康的社会决定因素,这些因素约占所有健康结果的 80%。然而,目前缺乏关于正在进行的社会处方活动的数据。尽管英国国民保健制度曾试图通过推荐 3 种标准化的初级保健代码来解决这个问题,但这些代码并没有详细记录社会处方活动,无法将结果公平归因于社会处方。

目的

在这项研究中,我们探讨了一种替代方法来对社会处方活动进行编码,特别是通过社会处方本体,是否可以更详细地记录初级保健中使用的社会处方。

方法

根据 Web 本体语言实施的社会处方本体旨在涵盖涵盖健康的社会决定因素的几个关键概念。使用 NHS 术语浏览器识别 Readv2 和临床术语版本 3 代码。皇家全科医生研究监测中心是一个由英格兰 1000 多家初级保健实践组成的监测网络,覆盖了超过 400 万注册患者,用于在一个定义的时间段内(即 2011 年 1 月至 2019 年 12 月)进行数据分析。

结果

总共为社会处方本体确定了 668 个用于解决不同健康社会决定因素的社会处方代码。在研究期间,与使用社会处方代码的 29606 次相比,皇家全科医生研究监测中心的初级保健实践使用社会处方本体代码的次数为 5504037 次,包括英国国民保健制度推荐的代码。

结论

社会处方本体为英国国民保健制度目前推荐的代码提供了一种强大的替代方法,以记录英格兰详细的社会处方活动。因此获得的更详细信息将允许探索是否可以将护理交付的产出或结果归因于社会处方,这对于证明社会处方可以为国民保健制度和医疗保健系统带来的总体价值至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9356/7762682/acf957b8219a/jmir_v22i12e23721_fig1.jpg

相似文献

2
Use and impact of social prescribing: a mixed-methods feasibility study protocol.
BMJ Open. 2020 Sep 18;10(9):e037681. doi: 10.1136/bmjopen-2020-037681.
3
Constituting link working through choice and care: An ethnographic account of front-line social prescribing.
Sociol Health Illn. 2023 Feb;45(2):279-297. doi: 10.1111/1467-9566.13569. Epub 2022 Oct 25.
5
COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology.
JMIR Public Health Surveill. 2020 Nov 17;6(4):e21434. doi: 10.2196/21434.
7
Usage of allergy codes in primary care electronic health records: a national evaluation in Scotland.
Allergy. 2016 Nov;71(11):1594-1602. doi: 10.1111/all.12928. Epub 2016 Jun 3.
8
Provision of social norm feedback to high prescribers of antibiotics in general practice: a pragmatic national randomised controlled trial.
Lancet. 2016 Apr 23;387(10029):1743-52. doi: 10.1016/S0140-6736(16)00215-4. Epub 2016 Feb 18.
9
Opioid prescribing trends and geographical variation in England, 1998-2018: a retrospective database study.
Lancet Psychiatry. 2019 Feb;6(2):140-150. doi: 10.1016/S2215-0366(18)30471-1. Epub 2018 Dec 20.

引用本文的文献

1
Primary Care EHR data on Social Determinants of Health: Quality and Fitness for Purpose in Precision/Personalised Medicine.
Yearb Med Inform. 2024 Aug;33(1):32-44. doi: 10.1055/s-0044-1800716. Epub 2025 Apr 8.
5
Community Activities in Primary Care: A Literature Review.
J Prim Care Community Health. 2024 Jan-Dec;15:21501319231223362. doi: 10.1177/21501319231223362.
7
Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO).
J Am Med Inform Assoc. 2023 Aug 18;30(9):1465-1473. doi: 10.1093/jamia/ocad096.
10
Knowledge Representation and Management: Interest in New Solutions for Ontology Curation.
Yearb Med Inform. 2021 Aug;30(1):185-190. doi: 10.1055/s-0041-1726508. Epub 2021 Sep 3.

本文引用的文献

1
Use and impact of social prescribing: a mixed-methods feasibility study protocol.
BMJ Open. 2020 Sep 18;10(9):e037681. doi: 10.1136/bmjopen-2020-037681.
2
A social prescriptions formulary: bringing social prescribing on par with pharmaceutical prescribing.
J R Soc Med. 2019 Dec;112(12):498-502. doi: 10.1177/0141076819877555.
3
Making social prescriptions mainstream.
J R Soc Med. 2019 Nov;112(11):459-461. doi: 10.1177/0141076819848304.
4
Serological surveillance of influenza in an English sentinel network: pilot study protocol.
BMJ Open. 2019 Mar 8;9(3):e024285. doi: 10.1136/bmjopen-2018-024285.
6
Social prescribing: less rhetoric and more reality. A systematic review of the evidence.
BMJ Open. 2017 Apr 7;7(4):e013384. doi: 10.1136/bmjopen-2016-013384.
8
County Health Rankings: Relationships Between Determinant Factors and Health Outcomes.
Am J Prev Med. 2016 Feb;50(2):129-35. doi: 10.1016/j.amepre.2015.08.024. Epub 2015 Oct 31.
9
Using ontologies to improve semantic interoperability in health data.
J Innov Health Inform. 2015 Jul 10;22(2):309-15. doi: 10.14236/jhi.v22i2.159.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验