Social prescribing student champion scheme: a novel peer-assisted-learning approach to teaching social prescribing and social determinants of health

2018 ◽  
Vol 29 (5) ◽  
pp. 307-309 ◽  
Author(s):  
Bogdan Chiva Giurca
2021 ◽  
Author(s):  
Tara Herrera ◽  
Kevin P Fiori ◽  
Heather Archer-Dyer ◽  
David W. Lounsbury ◽  
Judith Wylie-Rosett

BACKGROUND Background: Inclusion of social determinants of health is mandated for undergraduate medical education. However, little is known about how prepare pre-clinical students for “real world” screening and referrals to address social determinants of health. OBJECTIVE The pilot project objective was to evaluate the feasibility of using “real world” service-based learning approach in training pre-clinical students to assess social needs and make relevant referrals via the electronic medical record during in COVID-19 pandemic (May-June 2020). METHODS This project was designed to address an acute community service need and to teach pre-clinical second-year medical student (n=11) volunteers how to assess social needs and make referrals using the 10-item Social Determinants of Screening Questionnaire in the electronic health record (epic platform). Third-year medical student volunteers (n= 3), who had completed six clinical rotations, led the one-day skills development orientation and were available for on-going mentoring and peer support. All student-patient communication was by telephone, and bi-lingual (English/Spanish) students called the patients, who preferred to communicate in Spanish. We analyzed EHR data extracted from epic to evaluate screening and data extracted from REDCap to evaluate community health worker notes. We elicited feedback from the participating pre-clinical students to evaluate the future use of this community-based service-learning approach in our pre-clinical curriculum. RESULTS The pre-clinical students completed 45 screening interviews; 20 patients (44%) screened positive for at least one social need. Almost all (19/20) were referred to the community health worker. Half (8/16) patients, who had community health worker consultation, were connected with a relevant social service resource. The pre-clinical students indicated that project participation increased their ability to assess social needs and to make needed electronic health record referrals. Food insecurity was the most common social needs. CONCLUSIONS Practical exposure to social needs assessment has the potential to develop pre-clinical medical students’ ability to address social concerns prior to entering clinical clerkships in their third year of medical school. The students can also become familiar with the EHR prior to entering third year clerkships. Physicians, who are aware of social needs and have EMR tools and staff resources to act, can create workflows to make social needs assessment and services integral components of health care. Research studies and quality improvement initiatives need to investigate how to integrate screening for social needs and connecting patients to the appropriate social services into routine primary care procedures. CLINICALTRIAL not a clinical trial


10.2196/23721 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e23721
Author(s):  
Anant Jani ◽  
Harshana Liyanage ◽  
Cecilia Okusi ◽  
Julian Sherlock ◽  
Uy Hoang ◽  
...  

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.


2020 ◽  
Author(s):  
Anant Jani ◽  
Harshana Liyanage ◽  
Cecilia Okusi ◽  
Julian Sherlock ◽  
Uy Hoang ◽  
...  

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.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
S Dias ◽  
C Figueiredo ◽  
A Coelho ◽  
L Hoffmeister ◽  
A Gama

Abstract Social prescribing (SP) is an innovative approach to tackle social determinants of health. It enables general practitioners (GPs) to address non-medical causes of ill-health by linking primary care patients with non-medical community sources of support. Despite convincing results from punctual evaluations, comprehensive evaluation of SP is needed to provide guidance on what works and evidence on its impact. A SP pilot-project started in 2018 in a primary care service in Lisbon. Its implementation process and outcomes are being evaluated through a longitudinal mixed-method evaluation study assessing patients’ wellbeing, quality of life, anxiety and depression in key stages of the intervention and stakeholders’ perspectives on facilitators/barriers to the intervention implementation. GPs refer patients to a social worker of the service, who defines with the patient the individual intervention plan using community resources. Initially, GPs and social workers were trained on SP, a network of community partners was built, SP information was distributed to patients, a referral online platform was created and a baseline study is being conducted. In the 1st semester, 130 patients were referred: 39.2% were ≥65 years old, 70.8% were female, 45.4% had foreign nationality. Over two thirds were referred for multiple reasons mostly social isolation, immigration/social integration, mental health, sedentary lifestyle, access to social benefits and employment/skills training. The project has enabling to support patients with multiple complex psychosocial needs. Regular meetings between GPs and partners have improving collaboration and patients’ supervision. The participatory approach and training emerged as facilitators of the intervention. Yet, the increased burden on social workers due to growing referral profile and some stakeholders’ scepticism toward SP need to be addressed. The triangulation of sources, methods and data provide evidence on the intervention impact and scalability. Key messages The social prescribing intervention has been effective in tackling multiple social determinants of health. Intervention evaluation is being key to identify facilitators and opportunities for scale up.


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