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62657f5f-1a8d-4fc4-8b32-bd364cb93d3a ADOPTED PROJECT - PREMAC 2 STUDY Development and application of Patient Report Experience Measure for patients accessing ACute oncology services: Aim This study will test a newly designed patient report experience measure (PREM) questionnaire for acute oncology (AO) across three NHS Trusts. Objectives The study will test: i) the acceptability of the PREM instrument to patients; ii) how well the PREM questionnaire performs, its validity and reliability, when completed by patients who have received care from different clinical teams; iii) the capability of the PREM instrument to identify variations of patient experience between participating trusts, and; iv) how easily the PREM questionnaire can be used to collect information across several trusts that might deliver services in different ways. Background People with cancer often need to access AO services for serious problems caused by their disease or treatment. Although trusts are required to obtain feedback from patients who receive AO services, there is currently accepted way of collecting this information. A preceding study, the PREMAC study, designed the new PREM questionnaire that we will test in this subsequent study. Design and Methods The study will include three NHS Trusts, and a sample of at least 100 completed responses will be required for statistical analysis from each site. Patients who have accessed AO services will be sent an electronic link to the questionnaire by text message or email, between one and two weeks following their care. Participants will be eligible if they: have a confirmed diagnosis of cancer; are 18 years old and above; have sought urgent care/advice for problems for cancer or its treatment; have accessed AO service via a triage helpline, a bespoke AO unit or via ED. Only anonymised information will be collected from respondents. Study outputs The main study output will be a validated PREM, which can be used to explore and benchmark the quality of AO services at trusts across England with different service delivery models.

402a4c2a-6e60-4ba0-ab22-b08ca49f80a9 Deprescribing and Optimisation of Medicines IN Older people with Heart Failure and Frailty (DOMINO-HFF) Chief Investigator: Dr Eloise Radcliffe, Senior Research Fellow School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton Team: Dr Kinda Ibrahim, Associate Professor, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton Dr Sara Mckelvie, Clinical lecturer, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton. Dr Stephen Lim, Principal Clinical Research Fellow, Consultant Geriatrician, Medicine for Older People, University Hospital Southampton, Southampton General Hospital. Dr Chris Young, Consultant Geriatrician, Medicine for Older People, University Hospital Southampton, Southampton General Hospital. Dr Nina Fudge, Lecturer, Centre for Primary Care, Wolfson Institute of Population Health, Queen Mary University of London. Dr James Sheppard, Associate Professor, Nuffield Dept of Primary Care Health Sciences, Medical Sciences Division, University of Oxford. Mrs Clare Howard, Clinical Lead for Medicines Optimisation, Health Innovation Wessex. Prof Simon Fraser, Professor of Public Health, School of Primary Care, Population Sciences and Medical Education,Faculty of Medicine, University of Southampton. Dr Peter Cowburn, Consultant Cardiologist, University Hospital Southampton, Southampton, General Hospital. Ms Rajneesh Kaur, Patient and carer representative . Partners: University Hospital Southampton NHS Foundation Trust, University of Southampton, Health Innovation Wessex, Queen Mary University of London, University of Oxford. Start: 1 October 2024 End: 31 March 2026 Background Heart failure ( HF) is a long-term disease with symptoms including breathlessness, tiredness and leg swelling. HF is more likely to affect older people and is the leading cause for hospital admission in the UK for those aged over 65 years. Most people with HF have other health conditions therefore taking multiple medication is common. Guidelines for doctors to treat HF recommending multiple medications to help improve symptoms and help people live longer, have led to concerns about further increases in numbers of medication for patients. The application of these guidelines in older adults has had the unintended problem of more complex medication regimes, and possible impacts on physical ability and quality of life. More generally, taking multiple medication can increase risk of side-effects, hospital admission and death for older people. The research studies used to decide guidelines for doctors to treat HF, may underestimate the risks of taking multiple medicines as they do not include populations most vulnerable to potential harms such as older adults and those with frailty. This leads to uncertainty about the long-term benefits and risks of HF medications in the very old and frail populations who are, nonetheless, still treated based on the guidelines. Prescribing should ideally be tailored to each patient’s health condition and their preferences. These factors will change over time, supporting the need for regular medication reviews, and where appropriate, the need for reducing, stopping, or switching drugs in order to improve outcomes. However, this may be challenging due to the lack of research studies, as patients and multiple health care professionals involved in caring for older patients with HF, may experience uncertainty and have differing approaches to the application of the guidelines. Aim To examine research studies on prescribing and deprescribing of HF medication in older people, including those living with frailty. This will inform current guidelines for doctors to treat HF. It will also identify gaps in the research on this vulnerable group commonly prescribed HF medication, but at the greatest risk of experiencing harms linked with taking multiple medications. Design and methods Two literature searches will be carried out, guided by an information specialist librarian, following the established guidelines. Patient, public and community involvement This study has patient and public involvement (PPI) throughout. We will have PPI group of older people and carers living with HF, chaired by our PPI lead who is also a research team member and has contributed to study development. The group will contribute to the interpretation andcommunication of findings on a wider scale. Dissemination Findings will be promoted to the wider research and local clinical community through ARC Wessex networks and our links with Health Innovation Wessex , and in journal publications and conference presentations. We will also promote findings through the links that we will make with local and national charities such as Age UK Southampton, Wessex Heartbeat and the British Heart Foundation.

b369496b-453f-489e-9d44-7a954ac3f6d7 COMPLETED: Symptoms, Trajectory, Inequalities and Management: Understanding Long-COVID to Address and Transform Existing Integrated Care Pathways (STIMULATE) This project is part of a national consortium Contact: Professor Nisreen Alwan MBE , University of Southampton Currently in England, there are 90 specialist Post Covid services in which assessment and treatment of Long Covid, and other complications of COVID-19, are informed by NICE guidelines and growing expertise in the field. However, there is evidence that access to such clinics and related care pathways, the nature of those pathways, and patient experience, varies. Research is required to inform diagnosis, care, public health strategies, policy planning, resource allocation and budgeting. It is likewise essential to define the usual care pathway in Post Covid services, and to understand patient presentation, and the effectiveness and cost of care. The STIMULATE-ICP consortium includes: University College London Hospitals NHS Trust, University College London, University of Central Lancashire, LongCovidSOS, UK Doctors #Longcovid , Royal College of General Practitioners, University of Liverpool, Liverpool University Hospitals Foundation Trust, Perspectum, Living With, University of Hull, Hull University Teaching Hospitals Trust, University of York, University of Leicester, University of Exeter, University of Southampton, University of Sussex, Alliance Medical, GE Healthcare, Olink, Francis Crick Institute, NIHR Applied Research Collaboration South West Peninsula, NIHR Applied Research Collaboration East Midlands, NIHR Applied Research Collaboration North Thames, NIHR Applied Research Collaboration Yorkshire and Humber, NIHR Applied Research Collaboration North West Coast, British Heart Foundation Data Science Centre, BHF Data Science Centre, Health Data Research UK, Office of National Statistics, Royal Devon and Exeter NHS Trust, as well as NIHR Clinical Research Network support. Plain English Summary of findings: 23 interviews were completed with people with probable Long Covid We found… There was a lack of awareness of Long Covid, its symptoms and the support available for people with Long Covid An assumed lack of awareness of Long Covid within healthcare People with Long Covid symptoms experienced doubt and uncertainty about the cause of their symptoms Experiences of stigma and discrimination were commonly experienced by people with probable Long Covid. This included experiences of age and gender discrimination, experiences of being dismissed, unsympathetic attitudes and social exclusion. People with probable Long Covid reported feeling embarrassment, feeling tainted and/or different to others because of their Long Covid symptoms. In addition, they expected disbelief and/or judgement from others because of Long Covid People with Long Covid were sometimes reluctant to seek care due to worries surrounding possible investigations and medications, or worries about symptoms being wholly attributed to mental health conditions. There were also concerns about burdening the NHS. The nature of Long Covid symptoms made accessing care difficult. Long Covid symptoms can often come and go or fluctuate, and sometimes one symptom may be more prominent than others. This can mean some symptoms can be overlooked by patients and healthcare professionals. Experiences of people with Long Covid are also constitute epistemic injustice, or inequality surrounding creating, interpreting and conveying knowledge. This is due to the lack of awareness and knowledge of Long Covid both in the community and within healthcare. What we did Research findings from this study and the NIHR funded HICOVE study have been translated into an easily-usable webtool. This tool aims to encourage people with probable Long Covid who have not yet sought help and support from the NHS or other services to do so. It covers topics of self-doubt, stigma and effects on mental health as well as offering resources, tips, and advice on next steps. This tool is primarily aimed at people who may have Long Covid but are not currently accessing care but may also be helpful to those who are. It is also aimed at healthcare professionals, social prescribers, as well as community organisations to raise awareness about the difficulties and stigma people, particularly those from disadvantaged backgrounds, may face when considering reaching out for a consultation or community support. The webtool is available here: Supporting Long Covid Care ( long-covid-care.org.uk ) Where next? We are working on disseminating the Supporting Long Covid Care webtool as widely as possible. We will create an offline version of the tool so this is accessible to people who are not ‘online’. We will also include translations of this into community languages. This will be available to download from the website and from community organisations. We are also looking at ways to evaluate the webtool. See our news article

535f16ee-e98a-4782-81fa-97a73abd8468 ADOPTED: Improving patient safety, workforce wellbeing and NHS efficiency through improved shift patterns for nursing staff: study protocol Principal Investigator: Dr Chiara Dall'Ora, University of Southampton Project partners: University of Southampton; Nottingham University Hospitals NHS Trust; Herefordshire and Worcestershire Health and Care NHS Trust; Northumbria Healthcare NHS Foundation Trust; Sheffield Children’s NHS Foundation Trust; Southern Health NHS Foundation Trust; Nursing and Midwifery Council Team: Dr Hannah R. Barker (Qualitative lead), Prof Peter Griffiths (Senior Mentor), Dr Chiara Dall’Ora (Project lead) Public & staff involvement: Nursing staff, ward managers and matrons from 5 Trusts helped shape the DCE survey and future research priorities Funded : Academy of Medical Sciences Springboard grant Started: 1/9/23 Ended: 31/8/24 Lay summary What is the problem? If the COVID-19 pandemic has taught us something, it is how important the wellbeing of the health workforce is. Nurses form a big part of the health workforce, yet many leave their job because of poor working conditions. In recent years, hospital managers introduced long shifts for nurses, hoping nurses would be happier with their work-life balance. However, our research found that long shifts have negative effects for nurses and patients. We still do not know what good shift patterns look like. What we asked: How can shift patterns be designed to better support nurses’ wellbeing and help the NHS retain staff? We conducted interviews with nursing staff, ward managers and NHS directors across five Trusts, and a large UK survey (discrete choice experiment) with 1,449 registered nurses. What we found: Nurses value (1) consistency and predictability in rotas; (2) adequate rest between shifts; and (3) opportunities to enjoy work through meaningful time with patients and teams. Rigid, last‑minute rosters and very long shifts erode wellbeing. From the national survey: Night‑only patterns and having no whole weekends off are the least acceptable rota features and require the largest compensation to tolerate. Predictable schedules and having scope to request shifts are strongly valued. Nine‑to‑ten‑hour shifts are preferred over 12.5‑hour shifts. What this means: Collaborative rostering that balances service needs with personal circumstances can improve satisfaction and reduce turnover. Guaranteeing protected weekends where feasible, improving predictability, and avoiding very long duties are practical levers for better retention and patient care. What we did with the new knowledge: We ran 5 dissemination and co‑design workshops with NHS Trusts (Jan–Feb 2025) to share qualitative findings and plan next steps. Used findings to refine a national discrete choice experiments (DCEs) on rota preferences (n=1,449) and generate policy‑ready benchmarks for rota design and enhancements. Engaged workforce matrons and managers to shape future studies on flexible rostering and shift design. What's next? - Publish the DCE paper. - Produce a policy brief (ongoing with Public Policy | Southampton) - Attract funding to evaluate how flexible rostering can reduce sickness absence, turnover and costs - Co‑design of a shift‑work intervention with staff and managers (Hannah Barker NIHR Development & Skills Enhancement Award) - Support Trusts to pilot more predictable rotas, protected weekends and 9-10‑hour options where feasible. See article: Moving Beyond 12 Hour Shifts: How Evidence is Powering Change

Guidance for publications As an NIHR researcher you are required to acknowledge NIHR ARC Wessex and inform ARC Wessex when you have submitted a publication. Notification should be sent to arcwessex@soton.ac.uk . When acknowledging the NIHR, please use the relevant statement below ARC Wessex funded projects This study is funded by the National Institute for Health and Care Research ARC Wessex. The views expressed in this publication are those of the author(s) and not necessarily those of the National Institute for Health and Care Research or the Department of Health and Social Care. ARC Wessex adopted projects This study is supported by the National Institute for Health and Care Research ARC Wessex. The views expressed in this publication are those of the author(s) and not necessarily those of the National Institute for Health and Care Research or the Department of Health and Social Care. Academic Career Development Awards (Name) received(s) support from the NIHR Applied Research Collaboration ARC Wessex and funded through an {insert name of award e.g. NIHR ARC Wessex Internship/PhD fellowship, Post Doctoral Fellowship). The views expressed are those of the authors and not necessarily those of the NIHR, NHS or Department of Health and Social Care. For individuals listed as co-funded ARC investigators and where the research output is linked to the ARC Wessex portfolio please use the following This study is supported by the National Institute for Health and Care Research ARC Wessex. The views expressed in this publication are those of the author(s) and not necessarily those of the National Institute for Health and Care Research or the Department of Health and Social Care. Download the Funded by NIHR logo Download

Alignment with Health and Social Care Priorities Project Outputs Buy-in and Engagement Fit with Health and Social Care Systems Alignment with Health and Social Care Priorities Outcomes and Impact Adoption and Spread Checklist, webinar and resources Quick links: Project Outputs This domain helps you consider how implementation of your project output(s) fit with the changing needs of the health and social care systems and local, regional and national directives and policy. No FAQs yet This category doesn't have any FAQs at the moment. Check back later or explore other categories. What should I consider for my project? Adoption and Spread Project Outputs Buy-in and Engagement Fit with Health and Social Care Systems Alignment with Health and Social Care Priorities Outcomes and Impact Case study Staff Wellbeing (SWP) project “We knew that senior managers were keen to understand the wellbeing needs and priorities of staff, but we did not know how to address this. By consulting with colleagues from a partner organisation, we were able to understand how they approached this. They informed us that they had conducted an anonymous survey with staff to ascertain key needs and priorities for wellbeing. With their guidance we collaborated with a local research and evaluation partner who helped us design the questions for a survey administered within our organisation. In this way we could make sure any initiatives arising from the project were aligned to staff needs. When we conducted the survey, we realised one key factor impacting on staff wellbeing was influenced by a national policy initiative which had resulted in changes to working practices within our organisation. We reflected that we should have reviewed national policies more closely at an early stage, to ensure that our survey questions considered the potential impact of these. We have since adapted the survey to include questions relating to the impact of these policies. The survey findings have provided important insights into how national policies impacted on staff wellbeing at an organisational level as well as reinforcing the importance of wellbeing initiatives being aligned to local, regional and national priorities.” Take away tips Implementation is more likely to be successful when it aligns with the priorities of all relevant stakeholders Understanding how implementation may align at local, regional, and national levels is key

7fc9e212-9328-4765-add4-7315e187c43b Workforce Evaluation Toolkit project (WET) Outline: This is a commissioned piece of work from the ARC Wessex Workforce & Health Systems (WHS) theme to support them with regular requests from healthcare providers. The project is to iteratively develop a generic toolkit for the evaluation of new workforce roles across healthcare. The aim during the current project is to build a first trial version to prove the toolkit concept and generate buy-in from system partners. The Bakker’s Workforce engagement model Burnout forms the conceptual basis for evaluation toolkit. The deliverable for this project is a minimal viable product, in the shape of a workforce evaluation toolkit. Team: Ruth Barker Programme Manager – Insight Health Innovation Wessex . Cheryl Davies, Senior Programme Manager Innovation Adoption, Health Innovation Wessex. Rachel Bailey Senior Programme Manager - Insight, Health Innovation Wessex. Ends: 30 June 2024 More detailed outline or project and partners Workforce Evaluation Project Work Packages 011223[99] .docx Download DOCX • 390KB

Fit with Health and Social Care Systems Project Outputs Buy-in and Engagement Fit with Health and Social Care Systems Alignment with Health and Social Care Priorities Outcomes and Impact Adoption and Spread Checklist, webinar and resources Quick links: Project Outputs This domain helps you consider how implementation of your project output(s) fit with the changing needs of the health and social care systems and local, regional and national directives and policy. No FAQs yet This category doesn't have any FAQs at the moment. Check back later or explore other categories. What should I consider for my project? Adoption and Spread Project Outputs Buy-in and Engagement Fit with Health and Social Care Systems Alignment with Health and Social Care Priorities Outcomes and Impact Case study Parkinson’s disease Charity Community Outreach Project (PCCOP) team "We took time to understand how the aims of our project related to local and national policy and research on improving awareness of Parkinson’s disease in the community. We also spoke to other people within our local networks about their awareness of projects relating to the topic. Because of this, early on we realised there was a project with similar aims being undertaken by another local organisation. Though this was a challenge, as we had taken time to speak to people within our local networks, we had the opportunity to consider whether our project would be able to offer something different. We realised that though the projects had similar aims they were involving different stakeholder groups. We were also able to attend learning events from the other project to understand which steps may be helpful to repeat and avoid in our own project. This was invaluable as it saved both time and resources of those involved. It also ensured that our project fitted with local and national aims and provided something of real benefit and value to our local community.” Take away tips Implementation has a greater chance of success if it fits with the changing needs and priorities of the health and social care systems into which it is being introduced Involvement of stakeholders is key to identifying and understanding fit

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15c54097-9d85-4170-b90f-d0f5767a45d4 COMPLETED: Predicting Patient Deterioration Risks in COMMunities Team: Principle Investigator – Professor Michael Boniface, University of Southampton Co-Investigator - Dr Francis Chmiel and Dr Dan Burns, University of Southampton Clinical Lead – Dr Matt Inada-Kim, Hampshire Hospitals NHS Foundation Trust Completed What did we learn? We found evidence for policies and practices supporting safe COVID-19 integrated care pathways in community settings for early identification of deterioration and timely escalation to hospital. Research validating home oxygen saturations as a marker of clinical deterioration in patients with suspected COVID-19 informed national policies and was critical and rapid evidence necessary to support the COVIDoximetry@home ( https://doi.org/10.1101/2020.11.06.20225938 under peer review at BMJ Open) What difference did it make? £ 500K NHSx RECOxCARE (Remote COVID oximetry care) project for COVID Virtual Wards in collaboration with HHFT, North Hants Primary Care Network, Mid Hants Primary Care Network, South Central Ambulance Service NHS Foundation Trust, WAHSN and University of Southampton IT Innovation Centre. Scaling nationally as the COVID oximetry@home programme, the guidance for people at home to purchase a pulse oximeter published on the BBC News Website https://www.bbc.co.uk/news/health-55733527 and broadcast on BBC News at 10 on Thursday 21st January 2021 (citing the ARC publication) Clinical model was adopted by the World Health Organisation Digital and data analytics approach for remote monitoring of patients in communities was presented by Inada-Kim and Boniface as part of the NHSx@home innovators engagement event 16th Sept 2021. COVID oximetry@home received the overall winner of the prestigious for HSJ Patient Safety Award 2021 Service evaluation demonstrated improved patient outcomes Boniface, M., Burns, D., Duckworth, C., Ahmed, M., Duruiheoma, F., Armitage, H., Ratcliffe, N., Duffy, J., O’Keeffe, C. and Inada-Kim, M., 2022. COVID-19 Oximetry@ home: evaluation of patient outcomes. BMJ Open Quality, 11(1), p.e001584. What impact has it had on patient and the health system? Remote monitoring of patients in communities is important for improved patient outcomes, hospital attendance/admissions avoidance and resource planning. Remote monitoring is a key NHS transformation within the NHS@Home programme Remote monitoring is being extended from COVID to all Acute Respiratory Infections, and is likely to be extended to other conditions in the future What's next? We are working with Hampshire Hospitals and NHS England to transfer the learning from COVID to more general approaches. This research is being conducted in: HDRUK rapid insight project (Jan22-Sep23) called PHILOSARIP “ Predicting Hospital Length of Stay in Acute Respiratory Infections Patients” Wessex ARC PARIEDA project which is tacking “ Prediction of Acute Respiratory Infection outcomes prior to Emergency Department Attendance” Resources Covid Oximetry at Home Toolkit - via AHSN Wessex Publications https://doi.org/10.1101/2020.11.06.20225938 https://doi.org/10.1136/bmjopen-2022-067378 Original Project outline ARC Wessex is supporting research to explore COVID patient risks (deterioration, admission and readmission) in community settings working with Hampshire Hospitals NHS Foundation (HHFT) Trust who are co-leading the development of national pathways linking community, primary and secondary care. According to leading acute care clinicians (Dr. Inada-Kim - HHFT) working at the forefront of UK’s COVID-19 emergency response and policymaking, two of most pronounced COVID-19 Unmet Medical Care Needs (UMCN) include: UMCN-1) Risk prediction tools on triage and admission to emergency care: Evidence shows that early identification of physiological deterioration risks improves patient outcomes through timely and appropriate interventions, including escalations to higher levels of acute care through hospital admissions and intensive care [1] . UMCN-2) Rapid follow up of patients post discharge: There is little evidence to predict the occurrence of COVID19-related complications following discharge, particularly for vulnerable patients with multiple long term conditions at high risk of adverse complication events, and therefore rapid follow up and continuous monitoring of a patients recovery is needed to reduce risk of readmission to hospital. In addition, consideration of population infection risks resulting from contact and transmission from infected individuals has demanded alternative care delivery models. During the initial phase of the pandemic patients freely made their way to GPs and hospitals increasing infection rates within the general population and the healthcare workforce, leading to policies aimed at reducing contact between infected patients and health care workers (HCWs) [2] . This has driven then need to reimagine care pathways that minimise physical interaction using virtual care (video conferencing, mobile symptom reporting/scores, real-time remote sensing, and surveillance) delivered through telemedicine solutions. Virtual care not only protects the population and HCWs during highly infectious periods of a pandemic but importantly offers significant benefits to patients who can now be treated longer in community settings reducing the number of admissions to hospital, the length of stay and mortality. PPDRCOMM proposes to undertake research to develop predictive models for early warning detection arising from a COVID-19 infection, capable of running in residential settings such as care homes. Models will use near-patient observation data (e.g., temperature, respiration rate, and blood oxygen levels), patient demographics, and comorbidities from patients in the community who are in the early stages of a COVID-19 infection. The measurements will be collected with high frequency such that machine-learning algorithms will be able to report real-time risk scores of imminent deteriorations. Overall, this models will allow for real-time detection of deterioration earlier than currently possible with conventional techniques. This will help address the clinical need for pre-emptively stopping the severe deterioration of those with a seemingly mild case of COVID-19. Read the Evaluation Pre-Print evaluation paper

91dc7d16-9cb6-45e1-b40a-33037865948b COMPLETED: Digital support for maintaining physical activity in people with long-term conditions What promotes and prevents health professionals using ‘digital’ technologies to support people with long-term conditions (LTCs) to maintain physical activity and improve their health and wellbeing? Principle Investigator - Professor Mary Barker ( meb@mrc.soton.ac.uk ) Senior Research Assistant – Dr James Gavin ( j.p.gavin@soton.ac.uk ) Team Prof Mary Barker (PI), Prof Maria Stokes (Co-Lead), Prof Suzanne McDonough (Co-Lead at RCSI), Mrs Luisa Holt, Dr Aoife Stephenson (RCSI), Mr Paul Muckelt, Dr Nisreen Alwan, Dr Katherine Bradbury, Dr James Faulkner (University of Winchester), Dr Dorit Kunkel, Dr Euan Sadler, Prof Sandy Jack, Mrs Rachael Eckford, Mr Jem Lawson (PPI) and Mr Ranj Parmar (PPI) Project partners • Royal College of Surgeons in Ireland • University of Winchester What did we find? We interviewed 15 GPs and health professionals to find out their experiences of using digital technologies, such as online consultations, mobile-phone applications (or ‘apps’) and websites, to support people with LTCs to manage their health. We now have a better understanding of the factors preventing and promoting the use of digital technologies by health professionals to support people with LTCs in the NHS. These included: Preventing : one ‘app’ will not suit all LTCs, ‘apps’ must be user-friendly and accurate, clinicians need to dedicate time to the technology, security risks, patients need to have digital literacy, and long-term investment is required (time and finance). Promoting : ‘apps’ being evidence based, peer/social support of GP networks (including positive feedback), charity endorsement, COVID-19 changing people’s attitudes to digital health, ‘apps’ being linked to a hospital’s IT systems, accountability/monitoring of ‘apps’, and digital champions What difference will this make? Better understanding of the factors preventing and promoting the use of digital technologies by NHS healthcare professionals can help researchers develop new assessments and interventions to help people with LTCs to self-manage their conditions. In future, it could inform a regional evaluation of existing self-management programmes and initiatives to support people with LTCs to maintain their health and physical activity, from a digital perspective What are we doing with this? We have published one journal paper in PLOS One ( 2024 ) and co-investigator, Prof O’Donough published one systematic review paper in Digital Health ( 2024 ) In conjunction with the ‘non-digital’ MOTH study, we are in the process of applying for funding for: A PhD studentship, and NIHR Research for Patient Benefit (RfPB) award Maintaining physical activity and social connections for people with multiple LTCs: intervention development. The aim is to produce a plan for how best to proceed with improving partnership working within Wessex. The aim is to produce a plan for how best to proceed with improving partnership working within Wessex. What next? We plan to combine the non-digital and digital findings from the MOTH programme and apply for NIHR RfPB funding to co-design a 12-week follow-on maintenance intervention to sustainphysical activity for people with multiple LTCs following existing PA programmes between healthcare and community settings. The intervention will be developed informed by and aligned to the NHS Neighborhood Health agenda (2025) and current Southampton Integrated Neighborhood Hubs project . A suitable funding call is the NIHR Research for Patient Benefit (RfPB) programme (tier 3), with a stage 1 deadline of February 2026. Digital MOTH summary Non-Digital Moth Summary Publications https://doi.org/10.1177/20552076221089778

0b30aba5-25eb-4a0f-ba09-0cc56d28cb07 PROCED-DST: PROactive, Collaborative and Efficient complex Discharge – Decision Support Tool Chief Investigator: Dr Chris Duckworth, Senior Research Engineer, University of Southampton Email: C.J.Duckworth@soton.ac.uk Team: Professor Michael Boniface, Director of the IT Innovation Centre, University of Southampton, (HEI) Dr Carlos Lamas-Fernandez, Associate Professor, Southampton Business School Dr Dan Burns, Senior Research Engineer, University of Southampton Dr Mark Wright, Patient Flow Lead, University Hospital Southampton NHS Foundation Trust (NHS) Rachel Leyland, Complex Discharge Team Manager, Hospital Southampton NHS Foundation Trust (NHS) Ian Dickerson (PPIE) Partners: Hampshire and Isle of Wight NHS Foundation Trust, Hampshire Hospitals NHS Foundation Trust, Isle of Wight NHS Trust, Portsmouth Hospitals University NHS Trust, University Hospital Southampton NHS Foundation Trust, University of Southampton, Health Innovation Wessex. Start: 1/10/24 End: 31/3/26 Summary As of January 2023, 14,436 patients a day (14% of total capacity) remained in hospital despite being well enough to leave. This is due to delays in arrangements for onward care. Discharge delay occupies beds putting pressure on a wide-range of NHS services. There are currently 7.6 million patients waiting for treatment and an average waiting time of 15 weeks. Leaving hospital at the right time is also better for patients for many reasons. It reduces physical and mental deconditioning and chance of hospital infections. Part of the problem is organising further care required after a hospital stay. For patients in hospitals for seven days or more, 65% are delayed because they are waiting for after-care including care at home, short-term reablement and permanent care or a nursing home. Discharge planning involves lots of people and organisations from patients through to clinical teams in hospitals, community care, and local authorities. Organising care takes time considering the availability of social care services and mediation with patients and their families. It is therefore important that patients are assessed, and needs identified as early as possible within a hospital stay to give time for planning and conversations. An initial discharge assessment is supposed to be made with the first 24 hours of hospital admission. In practice this planning is provided for less than 50% of patients. Staff workload and inability to identify care requirements can delay assessments. Aims: In a previous project called PROCED, we developed a machine learning model to predict onward care needs when someone is admitted to hospital. Machine learning is a computer programme that can learn from information about patients and the services they use to make predictions. We have compared the model against predictions made by clinicians, and the results have shown it works well. In PROCED-DST we aim to investigate how a machine learning prediction can support better discharge planning. By planning care earlier during hospital stays gives more time for patients and families to discuss care needs with care workers. Ultimately we aim to improve the chance that patients can leave hospital on time. Approach: We will consider how a computer algorithm can help clinicians organise onward care by predicting admitted patient’s potential onward care needs. We will organise collaborative sessions with clinicians, patients, and computer programmers to understand how it could be used in the hospital and consider how it may benefit or impact patients. Patient and Public Involvement: Patients and Public will be directly involved in designing, testing and evaluating a decision support tool and help decide how it should be used by care providers to help plan onward care. PPI will influence data usage, patient journey, algorithms and how this should be communicated. The public will participate in a steering committee who will organise a series of workshops to engage patients and public in the research. Dissemination : Communication materials will engage the public and decision makers. We will work with PPIE support networks to develop accessible communication and ensure distribution to diverse communities. Evidence of effectiveness, safety and acceptance will be published. A decision support tool with computer-based decision support will be demonstrated. The outcomes will be championed with institutional, regional, and national implementation teams.