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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

3832ef1c-ee61-4cdf-8362-5cdbe7212017 Wessex NHS Insights Prioritisation Programme Project (NIPP) Wessex NHS Insights Prioritisation Programme Project (NIPP) National Institute of Health and Care Research (NIHR) Applied Research Collaboration (ARC) Wessex and Wessex Academic Health Science Network (AHSN) Digital innovations for people living with frailty Read the Health Innovation Network report Project team Nicola Andrews (NIHR ARC Wessex), Cindy Brooks (NIHR ARC Wessex), Cheryl Davies (Wessex AHSN), Linda Du Preez (Wessex AHSN), Richard Finley (Wessex AHSN), David Kryl (NIHR ARC Wessex and Wessex AHSN), Susi Lund (NIHR ARC Wessex), Michelle Myall (NIHR ARC Wessex), Rebecca Player (Wessex AHSN) and Phoebe Woodhead (Wessex AHSN). Background to the project NIPP was funded by NHS England’s Accelerated Access Collaborative to enable ARCs and AHSNs to work together to accelerate the evaluation and implementation of innovations that support post-pandemic ways of working, build service resilience and deliver benefits to patients. The Wessex NIPP project focused on the use of digital interventions to support the care of people with frailty. We worked collaboratively with stakeholders from across the Integrated Care Systems in Dorset and Hampshire and Isle of Wight to identify system priorities in this area. The project had several components: 1 – Evaluation of uptake and use of the myCOPD app by older people We undertook a mixed methods evaluation of the myCOPD app , a digital monitoring and self-management tool, in relation to its use by older people. The findings showed a higher prevalence of COPD in the myCOPD eligible population than the general population, highlighting the importance of understanding the impact of frailty on uptake and use of the app. Those aged 75 and over, or living with moderate or severe frailty, were less likely to register with and more likely to decline the app. There was also evidence that follow-up support to promote use of the app could increase activation and help overcome technical barriers. Evaluation of myCOPD app - Summary of findings (ARC Wessex) .pdf Download PDF • 180KB Evaluation of myCOPD app - Full Report .pdf Download PDF • 368KB 2 – Development of a Theory of Change on use of data to enhance care of people with frailty Theory of Change is a method to develop understanding of how an initiative can achieve impact. This is displayed in a Theory of Change map. The development and refinement of the Theory of Change map drew on a review of the evidence and individual discussions with a wide range of stakeholders. Participants were from primary care, community services and acute care working in digital health or care, frailty, commissioning and population health management. Stakeholders identified that a lack of availability of routinely collected data from across organisations to inform decision-making impacted the care provided to people with frailty. Theory of Change map - Use of data to enhance frailty care .pdf Download PDF • 176KB Theory of Change Report - Use of data to enhance frailty care .pdf Download PDF • 461KB 3 - Investigation of the use, applicability and acceptability of digital remote monitoring for older people a) Listening activities with older people’s community groups to understand perceptions of digital remote monitoring We held face-to-face events at six older people’s community group meetings, including a carers’ group, an exercise class and a community group serving a majority black ethnic population. At these events we discussed benefits, concerns and barriers to the use of digital remote monitoring (the ability to monitor aspects of an individual’s health remotely using technology). We also asked group members how they thought their views might change as their health or abilities declined. b) Research study investigating use and acceptability of digital remote monitoring for older people with frailty in the community This mixed methods research study investigated digital monitoring at home approaches among older people with frailty, using Artificial Intelligence (AI)-facilitated sensors to monitor daily activities and routines. c) Evaluation of digitally enabled care within frailty virtual wards The evaluation used qualitative data from two frailty virtual wards ( NHS England » Virtual wards ) to explore the use, decision-making and impact of digital remote monitoring. We combined the qualitative data from the above three work packages (a, b and c) for thematic analysis. We found that a personalised approach is important, with a need to consider practicalities (such as cost and sensor positioning) and design of the technology. Face-to-face care is highly valued and should not be replaced by digital remote monitoring. Users and carers need to know what to expect, how the technology works, who is monitoring and when; this would aid trust. NIPP 2022-23 summary report .pdf Download PDF • 624KB NIPP 2022-23 Full report .pdf Download PDF • 838KB 4 - Co-production, piloting and evaluation of an online Implementation Toolkit Implementation is a complex process. For those tasked with introducing an innovation or a change to practice, service provision or delivery, there are a range of models, frameworks and tools to choose from to support the implementation journey. However, these can be inaccessible, specific to particular user groups, or fail to take implementation considerations into account at the outset. The Web-based Implementation Toolkit (WIT) was co-produced with a range of stakeholders by NIHR ARC Wessex. It is a user-friendly and accessible guide on what needs to be considered when implementing and how to achieve this. WIT can be accessed at: Helpful resources | NIHR ARC Wessex More details can be found at: Implementation | NIHR ARC Wessex Rapid Insights Guide for 2022/23 work A Rapid Insights Guide (with project highlights) was produced for NHS England at the end of the 2022/23 projects (work packages 3 and 4 above). Rapid insights report NHS E_for submission .pdf Download PDF • 322KB

257ff9a8-4656-4b12-a5fc-4ef46bb650ab COMPLETED: Neuro Online (Formerly From Clinic to E-Clinic): Evaluating the Implementation of the My Medical Record Platform in Young-Onset Dementia and Huntington’s Disease. Principal Investigator: Dr Chris Kipps Team members : Dr Chris Kipps, Neurologist and Hon Senior Lecturer, University of Southampton Dr Sarah Fearn, Senior Research Fellow, University of Southampton Dr John Spreadbury, Senior Research Fellow, University of Southampton Dr Alex Young, Senior Research Assistant, University of Southampton Dr Rachel Chappell, Project Manager Start : 1 June 2020 Ends : 31 May 2027 Project Partners : University of Southampton, University Hospital Southampton NHS Foundation Trust, The Health Foundation Lay summary: Digital health platforms can improve care and support self-management, but only if they actually work and if people make use of them. The Neuro Online study aims to better understand how the online platform My Medical Record can be used to support and improve care for people with long-term neurological conditions. Aims: We want to better understand the factors that influence the uptake, use, and effectiveness of an online care and self-management platform for patients with long-term neurological conditions, their carers and the healthcare professionals who care for them. Design and Methods: The Neuro Online study will use surveys and My Medical Record system data to better understand how and why people use the Neuro section of My Medical Record. We will recruit 2000 patients, carers and healthcare professionals to participate for up to 7 years. During this time we will track how they use the online platform and their thoughts on it. We will also ask patients and carers about their well-being and their patient activation measure so that we can compare their experiences with the platform to this information. Participants will have the opportunity to participate in a number of additional sub-studies, which focus on particular issues such as quality of life, what individual characteristics are associated with use (or not) of the platform, and whether certain functions of the platform such as care planning are useful. A small number of patients will be asked to participate in face-to-face interviews to assess their use of the platform. NHS staff will be surveyed to see if platform use changes how they deliver care. As online platforms are increasingly being developed for the NHS, we hope the study will help understand how to make them relevant, useful and appealing to use. The findings should help to optimise the design and usefulness of these online tools, with the aim of supporting and improving the delivery of care. What did we learn? What Next? • We will continue to recruit to the study until 2027 •Look at other characteristics e.g. years since diagnosis; education • Link to: literature review qualitative work work on digital healthcare in general (Neuro Digital) outcome measures optimisation of outpatient care • Feedback to stakeholders Related publication: A Comprehensive Literature Search of Digital Health Technology Use in Neurological Conditions: Review of Digital Tools to Promote Self-management and Support

5a0c9214-8a00-419e-80b5-dd5d80c94fdf ADOPTED PROJECT: Magnet4Europe: Improving mental health and wellbeing in the health care workplace Joint Lead: Professor Peter Griffiths and Professor Jane Ball Partners: University of Southampton, Katholieke Universiteit Leuven (KUL), Belgium Start date – Jan 2020 End date – Dec 2023 Lay Summary The pervasiveness and growing levels with which mental health morbidity is reported by healthcare professionals is a matter of concern. Underlying causes are frequently rooted within the work environment. In the United States, implementing the Magnet© model of organizational work re-design for nurses in hospitals has been associated with improved mental health, reduced burnout and turnover and improved patient outcomes, yet the model has not been implemented at scale in Europe. The aim of the EU-funded Magnet4Europe study is to transfer, modify, scale up, and evaluate the Magnet© model in 60 European hospitals in 6 countries (Belgium, England, Germany, Ireland, Norway, Sweden) between 2020 and 2023. The intervention involves the following: implementing hospital-wide change via a bundle of organizational measures as stipulated in the Magnet© manual, facilitated by one-to-one twinning with 60 Magnet© recognized U.S. hospitals with experience in implementing the Magnet© model, a European learning collaborative for hospital managers, and a critical mass of hospitals promoting innovation to attract public interest and foster replication. Magnet4Europe uses a usual-practice wait-list cluster randomized trial (RCT) to determine the effect and costs of Magnet© hospital organizational redesign on nurse and physician health outcomes and wellbeing, with burnout as the primary outcome, using validated instruments. Secondary outcome variables include staff well-being and turnover. In addition, the implementation of the intervention is evaluated using a nested mixed-methods process evaluation, based on focus groups and individual interviews with a selection of hospitals in the participating countries. Analyses will be based on quantitative (RCT) and qualitative methods (process evaluation) and a triangulation of the findings. Dissemination of the results are planned for different audiences, including clinicians, hospital managers, policymakers and the wider public. NB: The term ‘Physician’ is used for consistency across the EU countries in the study Consortium. In the UK context the staff group referred to equates to Medical Staff -Medics Intervention Hospital Magnet® is a trademark of ANCC registered in the United States of America and other jurisdictions and is being used under license from ANCC. All rights are reserved by ANCC. ANCC’s consent to the use of the Intervention Hospital Magnet® mark shall not be construed as ANCC sponsoring, participating, or endorsing the Magnet4Europe intervention. ©American Nurses Credentialing Center. Reproduced under license from the American Nurses Credentialing Center. All rights reserved. Publications Laying the foundations for implementing Magnet principles in hospitals in Europe: A qualitative analysis - ScienceDirect

bfee6430-aafd-44b2-bd89-074b9c7bf0b9 COMPLETED ADOPTED PROJECT: ADAPT: The cross-sector implementation of NICE-recommended CBT-based interventions for young people in care: Framework Chief Investigator: Dr Rachel Hiller– University of Southampton Project Team Members: Dr Gretchen Bjornstad– University of Exeter, Dr Tim Clarke – Norfolk & Waveney Children and Young People Care Group, Dr Kristian Hudson– Improvement Academy Bradford Teaching Hospital NHS Foundation Trust, Professor John Macleod– University of Bristol, Dr Ruth McGovern– Newcastle University, Dr Hugh McLeod– University of Bristol, Professor Richard Meiser-Stedman– University of East Anglia, Dr Sara Morgan– University of Southampton, Dr Beverley Slater– Bradford Institute of Health Research, Professor Paul Stallard– University of Bath, ProfessorJohn Wright– Bradford Institute of Health Research, Dr Patrick Smith– King’s College London. Organisations Involved: Swindon Borough Council, Bath and North East Somerset (BaNES) Children’s Services, Thinking Allowed specialist-service, Bristol, Newcastle City Council Children’s Social Care, Child and Adolescent Mental Health Services (CAMHS) (East) Background: Young people in care (care-experienced young people; CEYP) have substantially higher rates of mental health difficulties compared to their peers. Their unaddressed mental health needs have been identified as a key driver of a range of poor outcomes that categorise this group. For example, CEYP they are five times more likely than peers to be excluded from school, comprise 50% of the young male prison population, and 25% of the homeless population. Such outcomes are not inevitable. Yet services are often struggling to effectively address the mental health needs of this group, and thus prevent some of these wide-ranging consequences. To begin to address this complex issue, we are proposing a pilot implementation project, working with CAMHS, social care and third- sector mental health services across four target ARCs. Our pilot project aims to address this via overlapping stages that form the essential framework for a full-scale implementation trial. These are: (1) A scoping review and consultation with CEYP, carers, and services to develop an initial implementation framework, based on the consolidated framework for implementation research (CFIR) (2) The development of our implementation resources, including training materials What did we find out? We found that young adults aged 18-25 did not engage with the RADAR/ADAPT programme, and may not engage with perpetrator services, if they do not have motivation to do so. The implications are that this poses a risk to victims, particularly if perpetrators have high risk behaviours. To address this, more work should be done to disrupt high risk individuals and refer them on to workshops that require less time commitment; in order to initiate self-awareness around their behaviors and their impact on others. Given that children were a strong motivation for completing a programme, it seemed almost paradoxical that there were no specialist services made available for children within the DAPP model. Although there is compelling evidence to suggest that men changed their behaviours following the programme, police reoffending data suggests that, for a minority of individuals, more work is required to fully embed positive behaviours. A mentoring service may support such aims. To further support evidence on behavioural change, long term outcomes related to victim harm should be measured; for example, through a short questionnaire filled out by current or former partners. The RADAR/ ADAPT programme is specific to the domestic abuse experienced between intimate partners within heterosexual relationships. The implications are that a number of individuals may not find the programmes appropriate to their context. Therefore pilot programmes should be developed to tackle different relationship dynamics and types of abuse, including lesbian gay bisexual transgender queer (LGBTQ) relationships, and Elder Abuse. Finally, to full achieve a community coordinated response, and make the most of the resources available, pathways of referrals and a mutual understanding of roles and responsibilities should be clearly set out, to cover both statutory and non-statutory organisations. What did we do with this knowlege? •The findings from the research were communicated with the commissioners of future services in Domestic Abuse in Hampshire. •The next commissioned service considered the findings of the research in the tender. •For example, given the risk of non-engagement of younger adults, a specific service for 18-24 year olds, was set up that working on the specific needs of this population group. •The findings added to the limited knowledge around voluntary community perpetrator programmes. •It was published in the Open Access journal PloS ONE https://doi.org/10.1371/journal.pone.0218408 •Dr Sara Morgan was interviewed alongside Tracy Rutherford (Hampton Trust) on the Patrick Sisson show (BBC Radio Solent) Where next? •The work on ADAPT has led to further research in this area through existing partnerships, including a national evaluation of CARA •We have continued relationships with police partners who were interested in further evaluation work, which led to co-funding of other projects including Operation Foundation and MASP •Personally, Chief Investigator is interested in the findings around younger perpetrators, and how to engage them better in the health and social care system, and improve their life-chances. •Where many perpetrators on ADAPT have experienced domestic abuse as children, and they themselves have children, I’m interested in pursuing work around preventing the intergenerational transmission of domestic abuse. Publications Baseline characteristics and outcomes of the main perpetrator programme within the Hampshire Domestic Abuse Prevention Partnership, UK: A mixed methods study | PLOS One

Senior Research Assistant < Back Gabrielle Palermo Senior Research Assistant Ageing and Dementia Gabrielle Palermo is a Senior Research Assistant at the NIHR ARC Wessex Mental Health Hub, University of Southampton. She supports quantitative research on alcohol use disorder in older adults and contributes to other Hub projects involving complex routine datasets, including the OLA study. With over 20 years of experience in applied statistics, Gabrielle specialises in quantitative methods for epidemiological, socioeconomic, and public health research, particularly in the analysis of survey and administrative data. Her expertise includes multilevel modelling, complex survey design for cross-sectional and longitudinal data, data cleaning and linkage, and the treatment of missing data. She holds an MSc in Population Studies and a BSc in Statistics from ENCE–IBGE (Brazil). Her doctoral research focuses on statistical methodologies for unbalanced longitudinal data in sample-based educational panel studies, with emphasis on school effectiveness and pupil mobility. Since 2022, she has worked across multiple departments within the Faculty of Medicine at the University of Southampton, contributing to research in epidemiology and clinical trials. Previous Next

5241b3d8-a7e9-409f-8d8a-e86421d8cdd5 Evaluating impact of personalised care at service at service and system levels: Learning from the Wessex Academy for Skills in Personalised Care (WASP) programme. Chief Investigators: Professor Mari Carmen Portillo, Professor of Long-Term Conditions. School of Health Sciences. University of Southampton, Dr Louise Johnson, Consultant Therapist and WASP Project Lead, University Hospitals Dorset Team: Dr Beth Clark, WASP Personalised Care Facilitator, University of Southampton Matthew Wood, WASP Digital Lead and current ARC Wessex Statistical Intern Dr Hayden Kirk, Consultant Physiotherapist & Clinical Director Adults Southampton, Solent NHS Trust Janine Ord, Head of Population Health, Dorset Integrated Care Board Fran White, Director of Policy, Innovation and Partnerships, Hampshire and Isle of Wight Integrated Care Board Aisling Flynn, Lecturer in Occupational Therapy and Post-Doctoral Researcher, Bournemouth University Sally Dace, Patient and Public Involvement Representative Luisa Holt, Research Fellow, University of Southampton Partners: Dorset Integrated Care Board, Hampshire and Isle of Wight Integrated Care Board, Dorset County Hospital NHS Foundation Trust, University Hospitals Dorset NHS Foundation Trust, Hampshire and Isle of Wight NHS Foundation Trust, Bournemouth University, University of Southampton. Start: 1 October 2024 End: 31 March 2026 Aim(s) To evaluate if and how the Wessex Academy for Skills in Personalised Care (WASP) programme has led to improvements within healthcare services, and the impacts for patients, services and the wider health system. Background Personalised care focuses on tailoring health services to individuals’ needs and preferences. People who receive personalised care have greater satisfaction, and are more likely to feel in control of their own health and wellbeing. Services that work in a personalised way are likely to use their resource more efficiently - by offering people the right support, in the right way, at the right time. Despite the benefits, widespread adoption of personalised care has been slow. There are many reasons for this – including having healthcare staff who are trained and believe in its importance, and having systems that support its delivery. Since 2018, the Wessex Academy for Skills in Personalised Care (WASP) has been helping NHS services to improve personalised care delivery. This support involves three parts: EVALUATION –understanding current care by collecting the views of service users, frontline clinicians, managers and people who plan services (commissioners) LEARN – training healthcare teams, so they have the knowledge, skills and confidence to change how they work IMPLEMENT – supporting services to identify and deliver improvement projects, with measurable benefits for patients In this research, we will evaluate impact of the programme. This is important to: · know how to improve WASP in the future; · learn how to accelerate the adoption of personalised care within the NHS; · demonstrate impact, so we can spread the benefits more widely. Design We will create a series of case studies from services that have already completed WASP, highlighting learning from the programme, if/how this has been put into practice, and the benefits to service users. We will use interviews and surveys to collect information from healthcare staff, who are working in services that completeWASP in 2024/25. This will allow us to understand peoples experience of the programme, and the impacts this leads to. Interviews will take place at several timepoints, understanding learning development over time. Results will be considered together. Patient, public and community involvement Patient and public feedback has been incorporated into this proposal. Throughout the research, we will work with patient contributors, including a co-applicant, to shape and develop the research programme, ensure we are capturing the most important impacts, and to develop accessible ways to share our findings. Dissemination We will use the findings to create recommendations for how the WASP programme can be improved and spread in the future, reaching more people with long term conditions. We will share results at conferences and in academic journals; and presenting in a range of accessible formats, using the WASP website, social media and in the community.

d1fc46a9-cf57-4dda-98fb-a4ccb44fa87b FORTH – FORecasting Turbulence in Hospitals Chief Investigator: Edilson Arruda, Associate Professor, University of Southampton Team: Christine Currie University of Southampton Alexandra Hogan NHS Salisbury/ University of Southampton Jamie MacNamara University Hospital Southampton Mark Wright University Hospital Southampton Michael Boniface University of Southampton Carlos Lamas-Fernandez University of Southampton Partners: Salisbury Hospitals NHS Foundation Trust, University of Southapton, University Hospital NHS Foundation Trust. Start: 1 October 2024 End: 31 March 2026 Summary Over time, health systems face changes. Population grows older or hospitals can perform new treatments. It is difficult to match the resources of hospitals with population needs. If they do not match, waiting times for treatment increase and hospitals become fuller. Hospitals being too full can result in worse care for patients. For example, hospitals might need to cancel surgeries. Aim(s) of the research When the usual demand for hospital resources changes, it becomes difficult for hospitals to provide care. We call this turbulence. Our first objective is to define how turbulence can be measured from data. Then, we will use artificial intelligence to understand the causes of turbulence. We will also create models for short-term prediction of turbulence. This will help hospital plan better. Design and methods used This project will look at the records of patients in hospitals to understand what resources they use. The data will give us an understanding of how long certain activities take. For example, the recovery from surgery. We will predict when these times are changing using artificial intelligence. This can help hospitals be alert of upcoming changes, so they choose the best way to react. Patient, public and community involvement (PPCI) We will engage with the views of public, patients and communities during the project execution phase. We will hold workshops with patient groups that have been to hospital. We will understand their views on the planning services. We will also take into account their ideas when defining turbulence. Dissemination This project was co-designed and will be supported by University Hospital Southampton (UHS) and Salisbury Hospital. The results will be disseminated and championed within the partnering institutions, and further presented in workshops involving neighbouring NHS Trusts in Wessex and in the south east and south west of England. We will also publish papers and reports to disseminate the work to a larger audience within the UK and internationally.

b22b148b-6fb0-4962-840d-74569bd42e48 ADOPTED: SORT-IT (Salisbury Operational Research Track – Improving Together) SORT-IT is an exciting programme of collaborative research exploring how operational research can drive improvements in peri-operative management at a time of significant challenges for the NHS. These include limited resources, increasing demand and workforce fatigue, and urgently require us to think creatively and collaboratively. The wider SORT-IT programme is a joint endeavour led equally by Professor Christine Currie (CC: UoS) and Dr Alexandra Hogan (AH) BA(Hons), PhD, MBBS, FRCA, Consultant Anaesthetist at SHFT / Academic affiliation – UCL Great Ormond Street Institute of Child Health. It is a novel programme of collaborative research with potential for clinical implementation under the SHFT strategic aim of ‘Improving Together’. In this proposal, working with SHFT, we are seeking funding for a seed project to develop the understanding and documentation needed to apply for external funding for the wider programme (target - NIHR RfPB). We will investigate two specific steps along the peri-operative pathway. 1. ‘Booking’ of a patient (processing of the patient’s referral for surgery and setting the course of their perioperative care). 2. Recovery (optimising patient preparation for their step-down from Theatres). SHFT serves approximately 270,000 people, of whom 12,500 underwent elective surgical procedures in 2019/20. Similar to many Trusts post-pandemic, only 70.2% of patients met the referral-to-treatment waiting time target of 18-weeks. The NHS is challenged by rising waiting lists, a trajectory established pre-pandemic (2012-2019) that is now accelerating. Consequently, the Government’s target of 92% of patients achieving ≤ 18-weeks to starting consultant-led treatment has not been met since 2016 (NHS Key Statistics, July 2023).