MICA: Application for a Mental Health Data Pathfinder award (Oxford)
Lead Research Organisation:
University of Oxford
Department Name: UNLISTED
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Technical Summary
Making data findable and interoperable, adding value to existing datasets and enriching data collection from person-centric and patient reported measures represents the most valuable opportunity to accelerate understanding and improved treatment of mental health conditions.
Building on our experience of leading national and international programmes enabling access, interoperability and reuse of data for mental health - including the platform enabling use of Electronic Medical Records for mental health across England (CRIS), the platform for data aggregation for dementia (DPUK) and the pan-European platform to enable data interoperability from cohort and real-world data (EMIF) we propose here a programme of work including
underpinning themes and four indicative projects. These projects will gain from the linkage we propose to establish between routine care data and primary, secondary, schools and cohort data and will use devices to collect data remotely ranging from patient reported outcome measures to cognition, sleep and behaviour. To these enormous volumes of data, including the full mental health medical records from 10k people we have already linked to UK Biobank and the generation of 10k proteomes linked to mental health records, plus the streaming data from connected devices, we will bring advanced analytics from the Mathematics Institute and Natural Language Processing from computer scientists using neural networks. All our work will be enveloped in a governance and ethics stream with patient and public involvement. We leverage more than £40m in existing grant funding plus new cash and in-kind contribution from industry partners of over £12m. The outcome will be an informatics supported platform for experimental
medicine, increased understanding and development of novel therapeutics for depression and a bold drive to determine the relationship between intervention and outcome in mental wellbeing in young people. These themes and proposed projects will work with our proposed partners to establish the preparatory work for a platform for Mental Health Data capitalising on the unique opportunities presented by the NHS, by strengths in mental health research and by outstanding
digital sciences in the UK and in Oxford.
Building on our experience of leading national and international programmes enabling access, interoperability and reuse of data for mental health - including the platform enabling use of Electronic Medical Records for mental health across England (CRIS), the platform for data aggregation for dementia (DPUK) and the pan-European platform to enable data interoperability from cohort and real-world data (EMIF) we propose here a programme of work including
underpinning themes and four indicative projects. These projects will gain from the linkage we propose to establish between routine care data and primary, secondary, schools and cohort data and will use devices to collect data remotely ranging from patient reported outcome measures to cognition, sleep and behaviour. To these enormous volumes of data, including the full mental health medical records from 10k people we have already linked to UK Biobank and the generation of 10k proteomes linked to mental health records, plus the streaming data from connected devices, we will bring advanced analytics from the Mathematics Institute and Natural Language Processing from computer scientists using neural networks. All our work will be enveloped in a governance and ethics stream with patient and public involvement. We leverage more than £40m in existing grant funding plus new cash and in-kind contribution from industry partners of over £12m. The outcome will be an informatics supported platform for experimental
medicine, increased understanding and development of novel therapeutics for depression and a bold drive to determine the relationship between intervention and outcome in mental wellbeing in young people. These themes and proposed projects will work with our proposed partners to establish the preparatory work for a platform for Mental Health Data capitalising on the unique opportunities presented by the NHS, by strengths in mental health research and by outstanding
digital sciences in the UK and in Oxford.
Organisations
- University of Oxford (Lead Research Organisation)
- Fraunhofer Society (Collaboration)
- MRC Dementias Platform UK (Collaboration)
- Akrivia Health (Collaboration)
- Liverpool City Council (Collaboration)
- Foster and Brown Research (Collaboration)
- UK-CRIS, UK (Collaboration)
- Deep Cognito, Manchester, UK (Collaboration)
- GlaxoSmithKline (GSK) (Collaboration)
- Dementia Pathfinders (Collaboration)
- MILTON KEYNES CITY COUNCIL (Collaboration)
- Generation Scotland (Collaboration)
- University of Manchester (Collaboration)
- Oxford Academic Health Science Network (Collaboration)
- NHS Berkshire West CCG (Collaboration)
- National Institute for Health Research (Collaboration)
- NHS Frimley Clinical Commissioning Group (CCG) (Collaboration)
- Alan Turing Institute (Collaboration)
- SomaLogic (Collaboration)
- Ono Pharmaceutical (Collaboration)
- SOUTH GLOUCESTERSHIRE COUNCIL (Collaboration)
- NHS Gloucestershire CCG (Collaboration)
- Mind Association (Collaboration)
- Johnson & Johnson (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- BUCKINGHAMSHIRE COUNTY COUNCIL (Collaboration)
- King Abdullah University of Science and Technology (KAUST) (Collaboration)
People |
ORCID iD |
Publications
Cipriani A
(2018)
Network meta-analysis of antidepressants - Authors' reply.
in Lancet (London, England)
Cipriani A
(2020)
Generating comparative evidence on new drugs and devices after approval.
in Lancet (London, England)
Mourby M
(2020)
Anonymity in EU Health Law: Not an Alternative to Information Governance.
in Medical law review
Wheatley C
(2021)
Exploring the public health potential of RED January, a social media campaign supporting physical activity in the community for mental health: A qualitative study
in Mental Health and Physical Activity
Taquet M
(2021)
A structural brain network of genetic vulnerability to psychiatric illness.
in Molecular psychiatry
Gadd DA
(2022)
Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health.
in Nature communications
Gligic L
(2020)
Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks.
in Neural networks : the official journal of the International Neural Network Society
Harrison SJ
(2020)
Modelling subject variability in the spatial and temporal characteristics of functional modes.
in NeuroImage
Farahibozorg SR
(2021)
Hierarchical modelling of functional brain networks in population and individuals from big fMRI data.
in NeuroImage
| Description | Collaboration between Oxford MRC Pathfinder Colleagues and Oxfordshire County Council - collected and provided data (and gave advice) to the council on pupils' mental health from participating schools in the region |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Contribution to a national consultation/review |
| Impact | The local authority will contribute to future data collections and liaise with the MRC Pathfinder team to understand the mental health of pupils in Oxfordshire, and use the data and advice from experts in the field to guide policy. Report to be published this month (February 2020) on the Joint Strategic Needs Assessment website, summarising the mental health of students in Oxfordshire |
| URL | http://insight.oxfordshire.gov.uk/cms/joint-strategic-needs-assessment |
| Description | Informing mental health support services in East Berkshire |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Contribution to new or Improved professional practice |
| Impact | Wellbeing and safeguarding leads in East Berkshire have used the results shared to approach local schools and discuss how to address sensitive topics such as self-harm, substance use, and bullying. |
| URL | https://www.frimleyccg.nhs.uk/about-us/what-we-spend/annual-reports/annual-reports/464-local-transfo... |
| Description | AI for the discovery of new therapies in Parkinson's (JBCF) |
| Amount | £200,000 (GBP) |
| Funding ID | A2926 (Rosetrees) |
| Organisation | John Black Charitable Trust |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 04/2020 |
| End | 04/2023 |
| Description | Alzheimer's gut microbiome project (NIH) |
| Amount | $5,200,000 (USD) |
| Funding ID | 1U19AG063744-01 |
| Organisation | National Institutes of Health (NIH) |
| Sector | Public |
| Country | United States |
| Start | 07/2019 |
| End | 06/2024 |
| Description | Artificial intelligence (AI)-driven drug discovery for rare diseases |
| Amount | £4,800,000 (GBP) |
| Organisation | King Abdullah University of Science and Technology (KAUST) |
| Sector | Academic/University |
| Country | Saudi Arabia |
| Start | 11/2020 |
| End | 10/2024 |
| Description | CHRONOS: Deep representations of chronological events in electronic health records for real-time clinical decision support in secondary mental health care. |
| Amount | £645,820 (GBP) |
| Funding ID | AI_AWARD02183 |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2021 |
| End | 10/2024 |
| Description | Deep learning of genomic associations with Alzheimer's Disease |
| Amount | £1,200,000 (GBP) |
| Organisation | Janssen Pharmaceutica NV |
| Sector | Private |
| Country | Belgium |
| Start | 01/2021 |
| End | 12/2023 |
| Description | Deep learning of genomic associations with Alzheimer's Disease (J&J) |
| Amount | £400,000 (GBP) |
| Funding ID | No reference number yet |
| Organisation | Johnson & Johnson |
| Sector | Private |
| Country | United States |
| Start | 06/2020 |
| End | 05/2023 |
| Description | Funding for infrastructure support from Oxford Health Biomedical Research Centre - to a run an online pupil survey with participating schools in Oxfordshire (in collaboration with Oxford County Council) |
| Amount | £35,000 (GBP) |
| Organisation | Oxford University Hospitals NHS Foundation Trust |
| Department | NIHR Oxford Biomedical Research Centre |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 02/2019 |
| End | 03/2020 |
| Description | Oxford NIHR cognitive health Clinical Research Facility |
| Amount | £3,738,298 (GBP) |
| Funding ID | CRF-2016-10014 |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2017 |
| End | 03/2022 |
| Description | Personalised Artificial Intelligence versus Designed by Experts Individualised Approach (PAIDEIA): an international trial using digital health to improve and protect mental wellbeing during and after COVID-19 pandemic. |
| Amount | £63,300 (GBP) |
| Organisation | Westminster Foundation |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 10/2020 |
| End | 05/2021 |
| Description | Research Activity in the OxWell School Survey on Mental Health and Wellbeing |
| Amount | £25,000 (GBP) |
| Organisation | NHS Frimley Clinical Commissioning Group (CCG) |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2021 |
| End | 12/2022 |
| Description | Rising Start Initiative - stage 2 |
| Amount | £99,000 (GBP) |
| Funding ID | No reference number |
| Organisation | Ono Pharmaceutical |
| Sector | Private |
| Country | Japan |
| Start | 03/2020 |
| End | 06/2021 |
| Description | TELEMACHUS: TELEpsychiatry to Manage clinical Assessments during Covid: cHallenges and opportUnities for the NHS |
| Amount | £160,000 (GBP) |
| Organisation | Angelini Pharma |
| Sector | Private |
| Country | Italy |
| Start | 10/2020 |
| End | 04/2022 |
| Description | The Health and Well-being Pupil Survey for the COVID-19 pandemic |
| Amount | £74,100 (GBP) |
| Organisation | Westminster Foundation |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2020 |
| End | 10/2022 |
| Description | The School Health and Well-being survey: dissemination and implementation of Covid-19 pandemic findings |
| Amount | £10,000 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 07/2020 |
| End | 10/2020 |
| Description | Unlocking evidence from electronic patient records for smart intervention of mental health disorders (EPSRC) |
| Amount | £45,000 (GBP) |
| Funding ID | EP/N026977/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2018 |
| End | 03/2019 |
| Description | Unparameterised multi-modal data, high order signatures, and the mathematics of data science |
| Amount | £4,100,854 (GBP) |
| Funding ID | EP/S026347/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2019 |
| End | 04/2025 |
| Description | Using Deep Learning to Identify and Reverse LOAD Phenotype |
| Amount | £4,000,000 (GBP) |
| Organisation | GlaxoSmithKline (GSK) |
| Sector | Private |
| Country | Global |
| Start | 03/2021 |
| End | 02/2024 |
| Description | Virtual Brain Cloud (H2020) |
| Amount | € 15,000,000 (EUR) |
| Funding ID | H2020-SC1-DTH-2018-1 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 01/2019 |
| End | 12/2022 |
| Title | EMIF1000 |
| Description | We have collected 1200 blood samples of psychiatric patients and controls, and measured protein concentrations with Somalogic |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | New bio-markers of psychiatric disorders |
| Title | MAP2PD |
| Description | We have collected blood samples of patients with neurological disorders, and measured protein concentrations with Somalogic technology |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | We are creating bio-markers with these data samples |
| Title | OxWell School Survey Dataset |
| Description | OxWell is a repeated cross-sectional online pupil survey. It collects a broad range of self-reported measures of mental health and wellbeing, risk and protective factors, demographics, lifestyle factors and young people's attitudes to providing sensitive data for research purposes. To date the survey has gathered 57,000 responses and is expected to collect data from another 30 - 60 thousand school students by July 2023. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | We are inviting collaborators to contact us and apply to analyse the data to answer suitable research questions. Fully anonymous extracts of the data can be made available to researchers following a review by the research team and with appropriate agreements in place, and we are now negotiating making the data accessible on a platform hosted by SeRP. |
| URL | https://osf.io/sekhr/ |
| Description | Akrivia Health |
| Organisation | Akrivia Health |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | We have helped create this new University of Oxford's start-up. We have provided considerable advice and support to Akrivia during its foundation phase and beyond. Some of the leads of our MRC Pathfinder program are active members of Akrivia, occupying leading roles within the company to support it during its initial growing phase. |
| Collaborator Contribution | Akrivia is managing computational and data resources used during our MRC Pathfinder program. They are doing so at no additional cost. |
| Impact | Akrivia is providing very significant data management and computational support to the Natural Language Processing work of our MRC Pathfinder program. This support is ongoing, stable, and is planned to service us at no additional cost during the foreseeable future. |
| Start Year | 2019 |
| Description | Alan Turing Institute |
| Organisation | Alan Turing Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We provide advice to Alan Turing Institute on machine learning methods applied to psychiatric disorders. We collaborate in their talk series regarding natural language processing methods in mental health reserach. |
| Collaborator Contribution | They provide advice and further funds for us to apply machine learning methods to data collected with digital apps from patients. |
| Impact | Further collaborations with members of the network of the Alan Turing Institute. Some of our publications presented in this report. |
| Start Year | 2019 |
| Description | Berkshire West NHS Clinical Commissioning Group and the OxWell School Survey |
| Organisation | NHS Berkshire West CCG |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | MRC Pathfinder iSAM team members coordinated an online pupil survey (now referred to as the OxWell School survey) and informed schools in West Berkshire, the CCG and their local authority partners of the findings, by providing brief summary reports and access to an online data summary tool. |
| Collaborator Contribution | Berkshire West NHS CCG and their local authority partners supported the research team with the recruitment and engagement of schools in Berkshire West. A small financial contribution covers admin support with the liaison of schools, to ensure that the survey was run in accordance with the OxWell and University of Oxford ethical and data governance approvals (e.g. study instructions, information, and contracts with schools). |
| Impact | Outputs include the OxWell School Survey dataset 2021, scientific publications, tailored school and regional reports, online summaries of results, presentations and outreach work with the public and policy partners. This collaboration involves expertise from researchers, clinicians, public health and education consultants, school head teachers and wellbeing leads, as well as collecting the views of students participating in the survey and incorporating and feedback from parents and other school staff in the research design. |
| Start Year | 2020 |
| Description | Buckinghamshire Public Health and MRC Pathfinder colleagues |
| Organisation | Buckinghamshire County Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | The research team coordinated an online pupil survey (the OxWell School Survey) and provided Buckinghamshire Public Health, their local authority partners and schools in Buckinghamshire with rapid reports on findings from the survey and access to an online data summary tool. |
| Collaborator Contribution | Buckinghamshire Public Health supported the research team with the recruitment and engagement of schools in Buckinghamshire, and contributed to the additional costs of the survey provider in extending the survey to Buckinghamshire schools very rapidly in July 2020. |
| Impact | This collaboration has contributed to the OxWell School survey dataset and engagement activities with the local authority, schools and pupils in Buckinghamshire. |
| Start Year | 2020 |
| Description | DPUK |
| Organisation | MRC Dementias Platform UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We have provided our blood biomarkers datasets to DPUK, in order for them to make such data available to other researchers internationally. We have further selected, managed and analysed blood samples provided by DPUK in order to create new biomarkers of psychiatric disorders. |
| Collaborator Contribution | DPUK has provided a significant part of the blood samples used by Somalogic to measure protein concentrations. Somalogic then submitted this data back to us in order for us to build new biomarkers of psychiatric and neurological disorders. |
| Impact | We have built several blood based biomarkers with the samples obtained through this collaboration. Several of the publications are a direct consequence of this work. |
| Start Year | 2019 |
| Description | Deep Cognito |
| Organisation | Deep Cognito, Manchester, UK |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | We have hired the services of Deep Cognito in order for them to develop some of the Natural Language Processing (NLP) tools used in our MRC Pathfinder program. |
| Collaborator Contribution | Deep Cognito has developed some of the NLP tools used in this MRC Pathfinder program. They have done so at an special reduced price as an in-kind contribution. |
| Impact | Several of our publications are the result of the NLP tools created through this collaboration. We further obtained £60,000 in funding from EPSRC's New Mind program thanks to this collaboration. |
| Start Year | 2018 |
| Description | Department for Children, Adults and Health (S. Gloucestershire County Council) and Oxford MRC Pathfinder colleagues |
| Organisation | South Gloucestershire Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | We provided expertise in making the best use of their survey data for research purposes, and also guiding policy. |
| Collaborator Contribution | The council provided us access to their survey data to include in an analysis of our Oxfordshire data. |
| Impact | A platform for this data is being set up on UKSeRP infrastructure. |
| Start Year | 2019 |
| Description | Foster and Brown Research Ltd and MRC Oxford Pathfinder Colleagues |
| Organisation | Foster and Brown Research |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | We gave them £65,000 (alongside the Oxfordshire County Council's £10,000). UPDATE: Foster and Brown have since received an additional £10,500 from us for the 2020 changes. |
| Collaborator Contribution | They collected online pupil survey data including recruitment, technical support, data cleaning, liaison with schools, training sessions and reporting. UPDATE: Schools and partners also get access to Foster and Browns's online data summary tool (which is a big sell for the schools and LAs to take part). |
| Impact | Outputs include - 4500 pupils' data. We're expecting another 15000 in 2020/21. Data are made accessible to participating schools and the local authority via an online data tool. UPDATE: The outputs are much higher now - the OxWell database (listed as a new output) already has 26,000 responses and we have an additional 10 local authorities on board. |
| Start Year | 2018 |
| Description | Fraunhofer Society |
| Organisation | Fraunhofer Society |
| Department | Fraunhofer Institute for Algorithms and Scientific Computing |
| Country | Germany |
| Sector | Public |
| PI Contribution | We have provided blood biomarker datasets to the Franhofer SCAI institute through our joint Virtual Brain Cloud program. |
| Collaborator Contribution | Thanks to their accumulated experience on this area, SCAI has thoroughly curated the datasets that we have provided, to a level of quality that we would have been unable to achieve. |
| Impact | Several publications in preparation are a direct consequence on this collaboration. Also a consequence of this collaboration is significant additional funding that we have obtained from the European commission in a joint proposal between Oxford and SCAI. They have further connected us with a significant network of collaborators across European, who closely share our same research interests. |
| Start Year | 2018 |
| Description | Frimley NHS Clinical Commissioning Group (East Berkshire) and Oxford Pathfinder colleagues |
| Organisation | NHS Frimley Clinical Commissioning Group (CCG) |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | MRC Pathfinder iSAM team members coordinated an online pupil survey (now called the OxWell School survey) and informed schools in East Berkshire, the CCG and their local authority partners of the findings, by providing brief summary reports and access to an online data summary tool. |
| Collaborator Contribution | East Berkshire CCG team and their local authority partners helped with the recruitment and engagement of schools in East Berkshire. Initially, a small financial contribution covered admin support with the liaison of schools, to ensure that the survey was run in accordance with the OxWell and University of Oxford ethical and data governance approvals (e.g. study instructions, information, and contracts with schools). Since November 2021, a larger financial donation supports OxWell research activity (a research assistant), including engagement work with the CCG, public health and wellbeing leads in East Berkshire. |
| Impact | Outputs include the OxWell School Survey dataset 2021, scientific publications, tailored school and regional reports, online summaries of results, presentations and outreach work with the public and policy partners. This collaboration involves expertise from researchers, clinicians, public health and education consultants, school head teachers and wellbeing leads, as well as collecting the views of students participating in the survey and incorporating and feedback from parents and other school staff in the research design. |
| Start Year | 2020 |
| Description | Funded collaboration with GSK |
| Organisation | GlaxoSmithKline (GSK) |
| Department | Neuroscience (GSK) |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | We will use neural networks to automatically extract the effect of abeta and genotypes from microscopy images of iPSC derived neurons, microglia and astrocytes. This information will then be used in high throughput drug profiling to find new drug therapies of neurological disorders. |
| Collaborator Contribution | Funds for postdoctoral salaries and laboratory running costs. |
| Impact | none yet |
| Start Year | 2020 |
| Description | Funded collaboration with King Abdullah University |
| Organisation | King Abdullah University of Science and Technology (KAUST) |
| Country | Saudi Arabia |
| Sector | Academic/University |
| PI Contribution | Using neural networks to analyse the genome and medical history of patients in UK Biobank to find new potential therapies for common neurological disorders. |
| Collaborator Contribution | Funding to support postdoctoral salaries and laboratory running costs. Electronic health records from Saudi Arabia. |
| Impact | It is multidisciplinary. It involves genomics, transcriptomics, proteomics, epigenomics, and AI. Current outcomes are in the form of AI algorithms and potential candidate drug targets for the treatment of Alzheimer's. We are in the process of submitting this for journal peer-reviewed publication |
| Start Year | 2020 |
| Description | Generation Scotland - University of Edinburgh |
| Organisation | Generation Scotland |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | We have selected and managed the blood samples provided to us by Generation Scotland. Somalogic has measured the concentration of 5000 proteins in these samples, which we have then analysed to created biomarkers of psychiatric and neurological disorders. |
| Collaborator Contribution | The University of Edinburgh, through their Generation Scotland program, has provided a significant part of the blood samples used in our collaboration with Somalogic |
| Impact | A good part of the samples profiled by Somalogic are coming from this collaboration with Generation Scotland. Several of the publications that resulted from our MRC Pathfinder program used these samples as their core dataset. |
| Start Year | 2019 |
| Description | Generation Scotland - University of Edinburgh |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We have selected and managed the blood samples provided to us by Generation Scotland. Somalogic has measured the concentration of 5000 proteins in these samples, which we have then analysed to created biomarkers of psychiatric and neurological disorders. |
| Collaborator Contribution | The University of Edinburgh, through their Generation Scotland program, has provided a significant part of the blood samples used in our collaboration with Somalogic |
| Impact | A good part of the samples profiled by Somalogic are coming from this collaboration with Generation Scotland. Several of the publications that resulted from our MRC Pathfinder program used these samples as their core dataset. |
| Start Year | 2019 |
| Description | Gloucestershire NHS CCG and MRC Pathfinder colleagues |
| Organisation | NHS Gloucestershire CCG |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | MRC Pathfinder iSAM team members coordinated an online pupil survey (now referred to as the OxWell School survey) and informed schools in Gloucestershire, the CCG and their local authority partners of the findings, by providing brief summary reports and access to an online data summary tool. |
| Collaborator Contribution | Gloucestershire NHS CCG supported the research team with the recruitment and engagement of schools in Gloucestershire, and contributed financially (independently) to the associated costs of the survey provider. |
| Impact | This collaboration has contributed to the OxWell School survey dataset and engagement activities with the the CCG, local authority, schools and pupils in Gloucestershire. |
| Start Year | 2020 |
| Description | Johnson and Johnson |
| Organisation | Johnson & Johnson |
| Department | Janssen Pharmaceuticals |
| Country | United States |
| Sector | Private |
| PI Contribution | We are analysing the cardiovascular and immune component of psychiatric disorders with additional funds provided by Johnson and Johnson (J&J), which is a common area of scientific interest to our laboratory and to J&J. |
| Collaborator Contribution | J&J has provided significant funds to completely support the research on this common area of interest. |
| Impact | Several of the publications of our MRC Pathfinder program are a direct consequence of this collaboration. Future collaboration with J&J in planning stage are a direct consequence of this shared work with J&J. |
| Start Year | 2018 |
| Description | Liverpool City Council and the OxWell Survey |
| Organisation | Liverpool City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | The research team coordinated an online pupil survey (the OxWell School Survey) and provided Liverpool City Council, their partners and schools, with rapid reports on findings from the survey and access to an online data summary tool. |
| Collaborator Contribution | Liverpool partners in the Public Health and Education teams, and participating schools, advised the OxWell Survey team on areas of concern in adolescent wellbeing that are relevant to measure and understand. |
| Impact | Outputs include the OxWell School Survey dataset 2021, scientific publications, tailored school and regional reports, online summaries of results, presentations and outreach work with the public and policy partners. This collaboration involves expertise from researchers, clinicians, public health and education consultants, school head teachers and wellbeing leads, as well as collecting the views of students participating in the survey and incorporating any feedback from parents and other school staff in the research design. |
| Start Year | 2021 |
| Description | MRC Pathfinder |
| Organisation | Dementia Pathfinders |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | I have led all the different phases of the project and closely supervised the work of my research team. I have not stared from scratch, because I have been preparing the ground for this project for years. I have completed the preliminary analyses of the studies to be included in the IPD-NMA, and have collected the IPD from a significant proportion of clinical studies. I am working with relevant stakeholders to grant me access to additional unpublished information, in collaboration with patients and clinicians and I have developed a prototype of the treatment algorithm. I have existing multidisciplinary collaborations (Salanti, Higgins, Ioannidis, Egger, Browning, De Vos) that allow me to progress on the project in timely way and I have established this collaboration with the MRC Pathfinder that will help me carry out the tasks for which I do not have direct expertise (for instance, the analysis of large observational datasets). |
| Collaborator Contribution | MRC Pathfinder colleagues with machine learning expertise have helped design the method section of the analysis protocol and the treatment algorithm that will inform the decision making tool. |
| Impact | Together we are developing a clinical support system (treatment algorithm), to guide clinicians, patients and carers in the shared process of decision-making in routine care. The web-based algorithm will: Utilise the predictions from the best predictive models identified during the first phase of the NIHR project. Incorporate preferences and values of clinicians and patients to identify the desired clinical outcome considering both efficacy and adverse events Generate the corresponding ranking list of personalised treatment recommendations that will inform the clinical discussion between clinicians and patients, and the final treatment decision. |
| Start Year | 2019 |
| Description | Milton Keynes Council and the OxWell Survey |
| Organisation | Milton Keynes City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | The research team coordinated an online pupil survey (the OxWell School Survey) and provided Milton Keynes Council, their partners and schools, with rapid reports on findings from the survey and access to an online data summary tool |
| Collaborator Contribution | Milton Keynes partners in the Public Health and Education teams, and participating schools, advised the OxWell Survey team on areas of concern in adolescent wellbeing that are relevant to measure and understand. A financial contribution covered the costs of admin support for the liaison with participating schools, to ensure that the survey was carried out in line with the university ethical and information governance guidelines (e.g. study instructions, tailored information, and contracts with schools). |
| Impact | Outputs include the OxWell School Survey dataset 2021, scientific publications, tailored school and regional reports, online summaries of results, presentations and outreach work with the public and policy partners. This collaboration involves expertise from researchers, clinicians, public health and education consultants, school head teachers and wellbeing leads, as well as collecting the views of students participating in the survey and incorporating any feedback from parents and other school staff in the research design. |
| Start Year | 2021 |
| Description | NIHR's Applied Research Collaboration (ARC) and MRC Oxford Pathfinder colleague |
| Organisation | National Institute for Health Research |
| Department | NIHR CLAHRC East of England |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | We are working together in next iteration of the survey and research and dissemination plan: Schools Mental Health Implementation Workstream, Mental Health across the Lifespan Theme, along with ARC. |
| Collaborator Contribution | They funded the salary of one of our lead researchers and guidance. |
| Impact | We are working together in next iteration of the survey and research and dissemination plan: Schools Mental Health Implementation Workstream, Mental Health across the Lifespan Theme, along with ARC. |
| Start Year | 2019 |
| Description | New major collaboration with Johnson and Johnson |
| Organisation | Johnson & Johnson |
| Department | Janssen Pharmaceutica |
| Country | Global |
| Sector | Private |
| PI Contribution | We will be applying machine learning and neural network methods to analyse RNA sequencing from 150000 patients of UK Biobank to find new Alzheimer's disease targets |
| Collaborator Contribution | They are funding 3 new postdoctoral researchers across the University, plus significant overhead costs. They have paid for the very substantial costs of measuring RNA sequencing on 150000 patients. |
| Impact | It is multidisciplinary. It involves genomics, transcriptomics, proteomics, epigenomics, and AI. Current outcomes are in the form of AI algorithms and potential candidate drug targets for the treatment of Alzheimer's |
| Start Year | 2020 |
| Description | Ono Pharma |
| Organisation | Ono Pharmaceutical |
| Country | Japan |
| Sector | Private |
| PI Contribution | We have been developing new Artificial Intelligence (AI) and Neural Networks (NN) methods to analyse genomics datasets. These new algorithms have a sensitivity unmatched by any current genomics technique. Ono Pharmaceutical is then applying these algorithms to psychiatric disorders of common interest to us and Ono. |
| Collaborator Contribution | Ono Pharma has provided significant funds to completely fund this work. |
| Impact | Several publications in preparation are a direct consequence of this collaboration. New algorithms to analyse genomic data have been developed. |
| Start Year | 2018 |
| Description | RED January & MIND exercise intervention |
| Organisation | Mind Association |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | This is a new collaboration between the RED January organisation, Mind, the mental health charity and the University of Oxford. We wanted to test the efficacy of the month-long 'intervention' to encourage people to exercise to benefit their mental health. A post-doc (Catherine Wheatley) adapted the before and after questionnaires in collaboration with Mind, and conducted structured interviews with >30 participants. |
| Collaborator Contribution | Mind collects and hosts the questionnaire data which is collected from individuals who respond to RED January marketing material. We entered into a data sharing arrangement with Mind so that we can analyse the data. |
| Impact | Data collection just completed - outputs pending |
| Start Year | 2019 |
| Description | Sleepio |
| Organisation | Oxford Academic Health Science Network |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Using the data provided by Sleepio, we have built Artificial Intelligence (AI) and Neural Networks (NN) algorithms able to predict future prognosis of patients with sleep problems. One of the publications recently submitted, which is part of our MRC Pathfinder program, is a direct consequence of this work. |
| Collaborator Contribution | Sleepio has given controlled access to anonymized data of users of their digital platform. Further, they have provided advice and support to help us interpret and correctly analyse this data. |
| Impact | One of our recently submitted publications are a direct result of this collaboration. We are further developing more accuracy AI and NN algorithms able to predict prognosis and recommend therapies with this data. |
| Start Year | 2019 |
| Description | Somalogic |
| Organisation | SomaLogic |
| Country | United States |
| Sector | Private |
| PI Contribution | Somalogic (https://somalogic.com/) is our main partner in our bio-markers research. They specialise on measuring protein concentration in blood samples, with a state-of-the-art platform able to obtain the concentration of 5000 proteins simultaneously. This is the service that they provide to us. The collaboration is very active and on-going. |
| Collaborator Contribution | Our partners select and prepare the blood samples of our research participants. Somalogic then process these samples to measure protein concentration, which they then submit back to us. We use these measurements to predict patient prognosis. |
| Impact | - Thanks to this collaboration, we have obtained the protein concentration of approximately 1200 patients and controls. We have then used these measurements to predict patient diagnosis in advance to the presentation of any behavioural symptoms. Several of the publications of our MRC Pathfinder program are a result of these samples. Future publications will still emerge from these samples - Through this collaboration we are currently processing an additional 2000 samples of psychiatric patients and controls. Once Somalogic provides to us their measurements, this dataset will be the largest proteomic cohort word-wide for some of the diseases under scrutiny. Significant publications are expected to emerge from this dataset. |
| Start Year | 2018 |
| Description | UK-CRIS |
| Organisation | UK-CRIS, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Our Natural Language Processing (NLP) work is a significant part of the early research outputs of the UK-CRIS program. We have provided NLP tools to UK-CRIS in order for other researchers and the NHS to be able to mine the text data of the Electronic Health Records (EHRs) made accessible by UK-CRIS. We have further provided all the medical terms that we have been able to extract from these records with our NLP tools. |
| Collaborator Contribution | UK-CRIS has made available a very significant data resource to us. This data resource consists on the EHRs of 12 Mental Health trusts across the UK, amountin to 2.6 million patients. This is to our knowledge the largest such mental health EHR internationally |
| Impact | All our NLP publications are a direct consequence of this collaboration |
| Start Year | 2018 |
| Description | University of Manchester - NLP |
| Organisation | University of Manchester |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We have collaborated with Prof Goran Nenadic and his team (University of Manchester) on the Natural Language Processing (NLP) work of our MRC Pathfinder program. |
| Collaborator Contribution | Prof Nenadic has provided advice and supervision to our NLP work. |
| Impact | Several of the publications of our MRC program are a direct consequence of this collaboration. As a consequence of this collaboration, we have further obtained £60,000 in funding from EPSRC's New Mind program. |
| Start Year | 2018 |
| Title | Protocol to test automated analysis of facial emotions as a marker of mood in patients with mood disorders |
| Description | Researchers in the MRC Oxford Pathfinder Mood Recognition project have developed a protocol to test automated analysis of facial emotions, using cloud-based cognitive services, combined with validated self-reported measures of mood and emotion, and mathematical models to interpret the multi-modal data. Use of the first computer-based app was approved by NHS-HRA in 2019 and has been used to collect data from patients and healthy volunteers. Following delays due to the pandemic, remote versions of the app have now been developed to collect the data online, and ethical approval has now been granted by NHS-HRA. Following the end of the Pathfinder award, the project is now being funded by and EPSRC grant to Professor Terry Lyons. |
| Type | Diagnostic Tool - Imaging |
| Current Stage Of Development | Early clinical assessment |
| Year Development Stage Completed | 2019 |
| Development Status | Under active development/distribution |
| Impact | Work related to this project and protocol has led to securing further funding from EPSRC. |
| URL | https://www.hra.nhs.uk/planning-and-improving-research/application-summaries/research-summaries/faci... |
| Title | Emotion Recognition Apps (computer and mobile phone versions) |
| Description | MRC Pathfinder colleagues in the Mood Recognition project have developed one computer-interface application, one online task application, and one mobile phone application for multi-modal collection of emotion measures. All versions of the app incorporate validated self-report measures of mood and emotion with brief video and audio recordings. The video can be analysed using automated emotion recognition software, such as made available as part of the Microsoft Cognitive Services, and then compared to the self-reported mood/emotions, emotion recognition task performance data, and (for patients) clinicians' ratings of mood. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2019 |
| Impact | The research team is still collecting data, which faced some delays due to the pandemic. However, the online version of the experimental task has now been developed in collaboration with a small industry partner (Thymia) and NHS-HRA ethical approval has been granted to collect the data online. |
| Title | Machine learning genomics |
| Description | New machine learning methods able to improve the sensitivity with which we can analyse genomics data from psychiatric disorders. |
| Type Of Technology | New/Improved Technique/Technology |
| Year Produced | 2019 |
| Impact | MSc students projects and publications |
| Title | New Mind NLP library |
| Description | In collaboration with the University of Manchester and Deep Cognito (Manchester), we have developed a Java library to extract medical information from text as recorded in Electronic Health Records. |
| Type Of Technology | New/Improved Technique/Technology |
| Year Produced | 2019 |
| Impact | Some of our publications are a result of this software. Our research team and collaborators in the UK-CRIS network are using this software. |
| Title | True Colours platform |
| Description | True Colours is a web application that allows patients and participants to self monitor their mood and associated metrics (e.g. sleep, life events, activity etc). It has been in use for >10 years and the Pathfinder grant has enabled its continued development and maintenance. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2019 |
| Impact | True Colours has been used by >36000 patients/participants as part of research studies, trials and clinical service. There have been >50 publications arising from its use and a paper was published this year describing the impact (Goodday et al, 2019 - see publication list). |
| URL | https://oxfordhealth.truecolours.nhs.uk/www/en/ |
| Company Name | Akrivia Health (Cristal Health) |
| Description | With over 440 billion datapoints, agreements with 12 NHS trusts, and more than 3 million patient records, Akrivia has the largest and richest mental health dataset to accelerate research for better treatments and care. |
| Year Established | 2019 |
| Impact | The company is making Electronic Health Records (EHRs) accessible for research purposes. A thorough data access process has been established for this aim, with close supervision from patients and NHS trusts. |
| Website | https://akriviahealth.com/ |
| Description | : Feedback of findings of Oxfordshire Online Pupil Survey to school mental health leads as part of Oxford Health NHSFT outreach event to Trailblazer schools. |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Schools |
| Results and Impact | As described above |
| Year(s) Of Engagement Activity | 2020 |
| Description | CAMHS evaluation Dissemination event |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dissemination activity informing attendees of results of evaluation of CAMHS including some key data from the survey that was conducted as partof pathfinder |
| Year(s) Of Engagement Activity | 2019 |
| Description | Chair at NICE meeting to discuss guidelines for depression |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Chaired a meeting to discuss the NICE guidelines for treating depression. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Chaired a session on 'MRC Pathfinder Session 2' at MQ Mental Health Conference in Edinburgh, Scotland (September 2019) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | John chaired a session on the Edinburgh, KCL and other Pathfinder award presentations at the MQ Mental Health Conference in Edinburgh, Scotland (September 2019). He took the place of Prof Andrew McIntosh at very short notice. The purpose was to increase awareness of one's own work and network with other Pathfinder award winners. The impact was gaining new insight into other Pathfinder projects' and new strategies for developing a platform. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.mqmentalhealth.org/articles/data-science-meeting-2019-agenda |
| Description | Mental Health TRC Medical Informatics Workstream |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Mental Health TRC Medical Informatics workstream committee member. A 'Medical Informatics' MH-TRC workstream was proposed in early 2020 and leads (Ann John, John Ainsworth) appointed in September 2020. 'Medical Informatics' for the purposes of the MH-TRC workstream is defined as routine information collected electronically in health services. While mental health service data are of particular interest, a volume of mental healthcare occurs in primary care and emergency departments, so information from these sources is equally relevant. Our aim is to facilitate the mental health research community to make effective use of routinely collected data and digital technologies. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.nihr.ac.uk/partners-and-industry/industry/collaborate-with-us/mental-health-trc.htm |
| Description | OxWell at "CAMHS around the campfire" event |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I presented the findings from a paper published in JCPP Advances around which adolescents were most at risk of mental health difficulties during lockdown and school closures. There was a scientific critique of the paper and methods, to which I could respond, followed by a panel discussion of the implications. The event led to planned collaboration with another panel member, director of the the third sector organisation "Square Peg". |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.acamh.org/freeview/covid-the-impact-on-mental-health-of-school-closures-camhs-around-the... |
| Description | Podcast on the OxWell survey and article reporting mental health risks during lockdown |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I was invited by ACAMH to make a podcast about a paper published in JCPP Advances and the broader aims of the OxWell survey. I was later contacted by ACAMH, told the podcast was accessed by a good number of listeners, and invited to present and be a panel member for an ACAMH online journal club called a "Campfire" event. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.acamh.org/podcasts/covid19-school-closures-mental-health/ |
| Description | Presentation at the Oxford Child and Adolescent Psychiatry Seminar series to policy makers and other audiences |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Presentation to more than 100 policy makers, practitioners and researchers on some of the findings from the OxWell School Survey from data collected during the first UK partial schools closures in June-July 2020. Many questions and comments at the end of the presentation came from public health and clinical commissioners, facilitating alignment of our analyses with public health priorities. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.youtube.com/watch?v=c-h7-cCPOhk |
| Description | Presentation of results highlights from the 2020 OxWell School Survey to Gloucestershire CCG and Council |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Presentation of results highlights from the OxWell School Survey to commissioners and partners working with Gloucestershire Council and Gloucestershire NHS CCG. The presentation focused on self-reported wellbeing and experience of lockdown from pupils in Gloucestershire schools, with some comparisons to the broader regional OxWell 2020 data. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Presentation of results highlights from the OxWell School Survey to Berkshire CCGs and local authorities |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Presentation of results highlights from the OxWell School Survey to commissioners and partners working with Berkshire East and West Council and CCGs. The presentation focused on self-reported wellbeing and experience of lockdown from pupils in Berkshire schools, with some comparisons to the broader regional OxWell 2020 data. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Presentation of results highlights from the OxWell School Survey to Buckinghamshire Council |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Presentation of results highlights from the OxWell School Survey to commissioners and partners working with Buckinghamshire Council. The presentation focused on self-reported wellbeing and experience of lockdown from pupils in Buckinghamshire schools, with some comparisons to the broader regional OxWell 2020 data. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Presentation of survey results. Youth in Mind conference. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Third sector organisations |
| Results and Impact | Presentation of research plan with keynote presentation to delegates from children's services across all sectors in Oxfordshire |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.oxfordshiremind.org.uk/youth-in-mind-conference/ |
| Description | Presentation to schools and parents at "Young Resilient Minds" event |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Schools |
| Results and Impact | Presentation of preliminary pupil survey results to local schools, service providers, third sector and parents at "Resilient Young Minds" event organised at Bladon Primary School. After the presentation, I (Karen Mansfield) gave a short interview to local news. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.youtube.com/watch?v=vK_cFOky22c |
| Description | Public seminar for Department of Education |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | This is made into a podcast and presentation of findings from survey has been included |
| Year(s) Of Engagement Activity | 2020 |
| Description | School governor meeting |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | Talk to school governors including results of pathfinder survey |
| Year(s) Of Engagement Activity | 2019 |
| Description | School meeting with governors and pastoral team leads |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | In depth examination of survey findings of relevance to the school |
| Year(s) Of Engagement Activity | 2019 |
| Description | Supported Karen Mansfield (Postdoc) Presentation on Pathfinder at MhDEL workshop (Mental Health Data Ethics Leadership - Ethics and Governance in Data Linkage Workshop) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Other audiences |
| Results and Impact | Karen Mansfield (Postdoc) presented her talk on opportunities and challenges for linking adolescent mental health data in the UK - the purpose was to get feedback from others working in the area and beyond to understand the issues from multiple perspectives, including HRA and funders. Outcome - we got useful feedback and contacts to move this work forward in collaboration with other researchers across the UK. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Thames Valley Strategic Health meeting |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Discussion with key practitioner with regards to the long term plans for childrens services |
| Year(s) Of Engagement Activity | 2020 |
| Description | child Psychiatry Regional Meeting |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation of pathfinder results to Child Psychiatrists |
| Year(s) Of Engagement Activity | 2019 |