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33e12535-88ee-441a-8d7b-06392d99b190 ADOPTED PROJECT: Understanding risk stratification of patients with chronic kidney disease (CKD) in primary care ADOPTED PROJECT: Understanding risk stratification of patients with chronic kidney disease (CKD) in primary care Principal Investigators: Professor Hazel Everitt , Head of the Primary Care Research Centre, Deputy Head of the School of Primary Care, Population Sciences and Medical Education at Southampton University and Deputy Academic Capacity Development Lead for the NIHR School of Primary Care Research. Dr Kristin Veighey , Academic Clinical Fellow in General Practice, and Honorary Senior Clinical Lecturer, University of Southampton. Co-Associate Director of the Southampton Academy of Research (SoAR). Team: Dr Simon Fraser Associate Professor of Public Health, and Consultant in Public Health Dr Kinda Ibrahim, is an Academic Pharmacist and Senior Lecturer within the Primary Care Research Centre at the University of Southampton. She is the deputy lead for the NIHR Applied Research Collaboration (ARC) Wessex Ageing and Dementia Theme and the Associate Director for career development Dr Emma Teasdale Research Psychologist and Qualitative Research Fellow in Primary Care Dr Michelle Myall, is a Senior Research and Implementation Fellow at NIHR Applied Research Collaboration (ARC) Wessex Kate Henegan-Sykes (co-applicant) is a member of the Primary Care Patient and Public Involvement and Engagement (PPIE) group Charles Pickering (collaborator) is a patient with chronic kidney disease. Starts: 01/12/2023 Ends: 30/11/2025 Funded by: NIHR School for Primary Care Research The kidneys are 2 small fist sized organs which sit in the back. Kidneys clean the blood. They take away extra water and waste and turn it into urine or ‘wee’. Chronic kidney disease (CKD) is a long-term condition. In CKD, the kidneys do not work as well. More than 1.8 million people in England are known to have CKD. It is thought there may be 1 million more who have not yet been diagnosed. This is because early CKD has no symptoms. So it's important to test for CKD in people who might have it. This includes people with diabetes, high blood pressure, and a family history of CKD. People with CKD are more likely to have, and die from, heart attacks and strokes. For a small group of people their CKD will get worse over time. This could mean that they need ‘renal replacement therapy’ (RRT). This is where a machine (dialysis) or a kidney transplant (someone else’s kidney put into them in an operation) does the job of the failed kidneys. This allows the person to survive. These treatments are very expensive. Along with transport to treatment centres they cost the NHS around £780m every year. Having CKD can also reduce a person’s quality of life. People who have, or might have, CKD should have the protein in their urine measured. This is a good way to see if kidneys are damaged. It can be used along with a blood test result to work out a ‘risk score’. This score can help to show which people are at most risk of their CKD getting worse. This means that they can be offered medicines and told about possible changes to their lifestyle and diet that might help reduce their risk. The score can also be used to reassure people who have a low risk. We want to understand why working out a person’s risk of CKD is not always done in general practice (GP) surgeries. To do this, we will first interview 20-30 GPs and practice nurses. These are the people who would do the risk scores for patients. They will come from GP practices across Wessex and Leeds. We will then hold 4-5 focus groups with GP practice teams, including GPs and nurses, but also pharmacists, practice managers, and reception/administration staff. We will ask them about how procedures could be improved to make sure CKD patients have their risk measured. This information will help us to work out how to improve the way that we measure risk in CKD.We will then plan a second study to test a new process. This new process will be developed from what we find out in this study.

55041d82-7430-4dcd-98fd-9bd97e850e1f COMPLETED: PREDICT-NURSE – feasibility: Predicting Patient Acuity/Dependency-Based Workload from Routinely Collected Data to Assist with Nursing Staff Planning – feasibility study Prinicpal Investigator: Christina Saville Team: Paul Meredith, University of Southampton Chiara Dall'Ora, University of Southampton Tom Weeks, Portsmouth Hospitals University NHS Trust Sue Wierzbicki, Portsmouth Hospitals University NHS Trust Peter Griffiths, University of Southampton Ian Dickerson – Patient and Public Involvement Representative Start Date: 1 September 2023 End Date: 30 September 2024 Plain English Summary of Findings Using information about patients already held by hospitals (such as patient demographics, diagnostic information and movements between wards) we estimated the number of nurses needed on the ward each shift. We found that our estimates matched closely with the currently widely-used approach. For that approach, the nurse in charge records the severity of each patient's illness, and how dependent they are on nursing care, every day or shift. In contrast our approach uses a type of regression (a tool for finding patterns in data) to automatically calculate the number of nurses needed. This would potentially save nurses time in assessing patients by using information that is already recorded. What's next? We used data from one hospital so need to find out if results are similar for other hospitals. We also need to find out whether our estimates relate to patient outcomes. We have funding for another 1-year study (PREDICT-NURSE validation and extension) to explore this using existing data from another hospital. We will also investigate whether we can use similar methods in other settings outside acute care, e.g. mental health and community settings. We have also received funding for a 2.5-year study (PREDICT-NURSE) with at least 5 hospital Trusts collecting new data to develop and test algorithms using a wider range of data and outcome measures. This study will be based on user-centred design, with a national survey and workshops to gather nurses’ and other stakeholders’ views. Background Having enough nurses to care for patients on hospital wards is critical for patient safety, but it is difficult to plan for varying numbers of patients and unknown trajectories of deterioration and recovery. Tools for assessing patients’ needs to help with staff planning are an extra nursing task, thus adding further to workload. We do not know whether ward-level demand could be accurately predicted using existing assessments and data that is already recorded electronically. The overall aim of the project was to explore the feasibility of predicting acuity/dependency-based workload measures, as assessed by nurses, from routinely collected information in patients’ electronic health records. Publications Estimating Nurse Workload Using a Predictive Model From Routine Hospital Data: Algorithm Development and Validation: https://doi.org/10.2196/71666

c1c3e509-fcbe-4039-a8f6-143f962aecbd COMPLETED: Improving community health care planning Improving community health care logistics using Operational Research Principal Investigator: Dr Carlos Lamas-Fernandez Team members: Dr Carlos Lamas-Fernandez, (Research Fellow in Operational Research, University of Southampton), Professor Peter Griffiths (Chair of Health Services Research. University of Southampton), Dr Antonio Martinez-Sykora (Associate Prof of Business Analytics. Southampton Business School, University of Southampton), Dr Tom Monks (Associate Professor of Health Data Science, University of Exeter) Start: 1 October 2019 Ended: 30 September 2021 Partners: University of Southampton, Solent NHS Trust and Abicare Lay summary Operational Research (OR) is the application of computer and mathematical modelling to support decision making. In health services research, OR aims to improve patient outcomes, increase efficiency and enhance health professionals and citizens understanding of how an NHS service achieves good performance. In this study, we will use OR to improve the quality of patient care by supporting community nursing teams organise how they visit people in their own home. What did we acheive? We found that it is possible to develop algorithms that create routes and schedules automatically for district nurses. These algorithms can incorporate many practical constraints that nurses encounter during planning, and produce solutions that are optimised to use their time efficiently. We found out that, with minor modifications, the algorithm can also support social care workers in a similar manner. What difference can this new knowledge make? These algorithms are a stepping stone that bring closer the academic research (typically on idealized problems that do not work on practice) to the reality of nurses that currently organise their workload on a laborious manual process. Both their planning time and the extra time spent on the road (e.g. by doing a route larger than it could have been) can be saved and utilized to care for patients. Why is this important? Patients will benefit from a more efficient workforce, who can as a result have more time to care for them. Further, they might also benefit from better planned visits which might include their preferences. Care providers can use these kind of tools to plan their workload more efficiently, save costs on their operations and reduce the burnout of the nurses in charge of doing manual planning. Policy makers can run these kind of tools to test hypothetical scenarios (e.g. how does service delivery change with an increase of the demand, when we hire more district nurses or if we train part of our staff?). Care providers can also assess What's next? We continue working to improve our algorithms and liaise with social care companies to explore how they can be used in practice. We are looking into integrating them as demand estimation tools in other relevant problems, such as complex discharge from hospital. Publications https://www.nursingtimes.net/news/community/home-healthcare-are-nurses-wasting-their-time-on-the-road-26-04-2021/ A flexible mathematical model for Home Health Care Problems - ScienceDirect

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.

Our partners At NIHR ARC Wessex we are a collaboration of organisations working together to carry out the most relevant and best quality health and care research with real-life impact. Hampshire and Isle of Wight Integrated Care System (ICS) Dorset Integrated Care System (Our Dorset) NHS Dorset Integrated Care System (ICS) Hampshire and Isle of Wight Integrated Care System (ICS) NHS Trusts Dorset County Hospital NHS Foundation Trust Dorset HealthCare University NHS Foundation Trust Hampshire Hospitals NHS Foundation Trust Isle of Wight NHS Trust Portsmouth Hospitals University NHS Trust University Hospitals Dorset NHS Foundation Trust Salisbury NHS Foundation Trust Hampshire and Isle of Wight Healthcare NHS Foundation Trust University Hospital Southampton NHS Foundation Trust Universities Bournemouth University University of Portsmouth University of Southampton University of Winchester Research partners Health Innovation Wessex (formerly Wessex Academic Health Sciences Network)

Talia Emmanuel is a PhD candidate in the Health Workforce & Systems research group at the University of Southampton. < Back What do nurses want? Improving nurses’ shift patterns - where do we start? Talia Emmanuel is a PhD candidate in the Health Workforce & Systems research group at the University of Southampton. Talia Emmanuel is a PhD candidate in the Health Workforce & Systems research group at the University of Southampton. In this blog, she summarises some key results from her recent research paper that explored nurses’ views and values around their shift patterns and working time. Talia Emmanuel -University of Southampton. As a PhD student, one must be well-prepared to answer the question…“What is your research about?”. I typically answer with “I’m trying to find ways of improving shift patterns for nurses when they’re working in hospital”. Enthusiastic nods usually follow, along with a quippy reply: “Wow, that sounds important and complicated ”. Although simply put, “important and complicated” neatly summarises the nuances of this topic. We recognise the significance of improving nurses’ working conditions in the context of persistent health workforce shortages, both nationally and internationally. However, we also realise that singular cure-all solutions are non-existent – there are too many factors at play. So, where do we start? Some of those complicating factors centre around how nurses’ working hours are organised. In hospitals, nurses often have to work in shifts that cover different periods of the 24-hour day. Previous research has identified various repercussions of working shifts (and in particular, working long shifts of 12-hours or more and night shifts): increased burnout , poor work-life balance , and risk of chronic illness and cancer on the long-term. Impacts to nurses’ performance and safety while at work have also been flagged, which pose knock-on effects on the quality of care patients ultimately receive. Despite these risks, shift work is a necessary reality for many nurses working in hospitals. Therefore, administrators and managers are tasked with organising nurses’ shifts into rotas that balance staff wellbeing with service demands and operational costs - and this is no easy feat. Further complications come from recent increased pressure on NHS employers to offer staff more say over their working patterns as a way of improving job satisfaction and their experiences of work. But this raises the question: What do nurses want? More specifically, what shift patterns do they prefer, and why? While there is some existing literature on this (an excellent summary can be found here ), our understanding of the factors that lead nurses to prefer certain shift patterns needs more work. As part of my doctoral research, I was eager to do a deep-dive into this area: I know that in order to find ways to improve nurses’ shift patterns, it is crucial to ask nurses themselves about their views and values around the organisation of their working hours. Fortunately, I had access to a rich data source around this topic: a recent survey study funded by the NIHR ARC Wessex that collected responses from nurses working across the UK and Ireland. My supervisors and I were particularly interested in nurses’ responses when asked: “ If you could choose your shift patterns, what would be the most important factor in that choice?” While we expected nurses to describe many diverse factors/preferences, we were hopeful of commonalities too. Nearly 800 nurses provided their open-ended responses to this question. We analysed all of them and developed 3 overarching themes: Theme 1, “When I want to work ”: Nurses shared many preferences for when they wanted to work, and equally, how they wanted their rest days to be arranged. Even though individual preferences differed, three general scheduling practices were also repeatedly mentioned as helpful: working less ‘harmful’ shift patterns from the start, working more consistent/predictable patterns, and having more flexibility and control over when to work. “Not working consecutive shifts so that I am exhausted by the time I get a day off.” “Know what I am doing each week, either set days or set nights, so I can predict what I am working…” “Having the freedom to give myself more days to recover between weekly shifts.” Theme 2, “Impacts to my life outside work” : Many factors emerged from nurses wanting shift patterns that enable a good work-life balance and minimise disruption to their lives outside work. Their preferences and priorities related to wanting quality recreational time with family and friends, to be able to arrange childcare easily and inexpensively, and having enough rest/recovery time to protect their own wellbeing. “Quality time with my children and family without being permanently drained, exhausted, and sad” “That the pattern could stay the same each week so it would be easier for childcare needs. Many nurseries like set days and when our rota is changing from week to week this can be difficult.” “…Not mixing days and nights in a week […] this does not observe HSE best practice guidelines and messes with the body clock and sleep patterns. It should not be allowed to happen.” Theme 3, “Improving my work environment” : Some nurses mentioned job-specific factors that influenced their choices, like wanting to work the shift patterns they believed to be best for patient care, or, working the best configuration of shifts for optimal take-home pay. But other concepts, like having sufficient staffing numbers and being able to take breaks, were also stressed. “A shift where I feel I have accomplished the care I have wanted to give for my patients” “To not have so much pressure on the shift, with the right amount of staff on and to take my break when needed”. When thinking back to the question “What shift patterns do nurses prefer, and why?”, these themes provide several helpful clues. They also highlight that while there is variation in nurses’ specific shift preferences, there are also more general scheduling practices that also support their priorities. For my research, this finding is particularly striking, as it moves away from the oft-assumption that there are “countless individual preferences that are difficult to accommodate” and toward the idea that there are more universal preferences too. Moreover, when these universal preferences are used during the scheduling process, nurses’ shift patterns can be improved overall. That sounds like a good starting point! Read our full analysis of nurses’ survey responses in the open-access research paper here Follow Talia: Twitter/X | ResearchGate Follow the UoS Health Workforce & Systems team: Twitter/X | UoS website Previous Next

Training & Development At the ARC Wessex Academy we provide training opportunities and access to career development as part of our 5 years of research funding from the National Institute for Health Research (NIHR). There is an opportunity to become an ARC Wessex Member which allows you access to funding, research tools, support and expertise. We value our Faculty Members because they bring the skills and support we need as a research collaboration, and expand the capacity for research in Wessex. You can learn more about becoming a Member here . Explore the NIHR Academy What is a clinical academic career #1 Play Video Forming your team #2 Play Video Finding a Mentor #3 Play Video What Makes a Good Application #4 Play Video Developing your training plans #5 Play Video Public and patient involvement #6 Play Video The Interview #7 Play Video Intellectual Property and Enterprise #8 Play Video A guide to starting out in clinical academic research Watch Now Share Whole Channel This Video Facebook Twitter Pinterest Tumblr Copy Link Link Copied Share Channel Info Close Fellowships & internships Read more Meet our interns, PhD, and Post-Docs Read more Case Studies Read more ARC qualitative network Read more

74e67d37-7f00-423e-b571-0f47e11e3dca ADOPTED: Investigating the impact of food vouchers on diet composition and the prevention of childhood obesity Principal Investigator: Grace Grove Start Date: 10 May 2021 End Date: 9 May 2023 Background: Childhood obesity is increasing in the UK, and children from disadvantaged backgrounds are more likely to live with obesity. Obesity in childhood is linked to obesity in adulthood and poor health outcomes. It is therefore vital that we work to prevent and reduce inequalities in childhood obesity. We know that children from disadvantaged backgrounds are more likely to have poor diets, and children who have poor diets are more likely to be obese. Therefore, improving diet quality of young families may contribute to preventing the development of childhood obesity. Healthy Start is a scheme in England that aims to improve diet quality by providing vouchers to spend on milk, fruit and vegetables to disadvantaged families. However, the voucher value is modest and has not changed for a decade, despite increasing food prices. The scheme needs assessing to consider how it can best support families, as uptake among eligible families is very low, at 54% nationally. Health visitors support young families, and give extra support to those with increased needs, including those from deprived groups. This provides a unique opportunity to support young families who are at risk of childhood obesity and eligible for Healthy Start. The aim of this research is to understand if voucher schemes can have a positive effect on diet quality of disadvantaged families. This research will contain several elements, including reviewing the literature for evidence on the effectiveness of voucher schemes, speaking to families and health visitors, collecting diet and shopping information from families, and modelling the best approach to a modified Healthy Start scheme. Publications Systematic review of fruit and vegetable voucher interventions for pregnant women and families with young children | Public Health Nutrition | Cambridge Core

Adolescent Resilience to OVercome Adversity: EmpoweRment and intervention development – the ROVER study Lead applicant: Anne-Sophie Darlington Co-applicants : Professor Graham Roberts , Professor Mary Barker , Dr Ivo Vassilev University of Southampton, Dr Catherine Hill Associate Professor in Child Health at the University of Southampton, Dr Jana Kreppner Associate Professor in Developmental Psychopathology within Psychology at the University of Southampton , Dr Luise Marino , Abigail Oakley Project Summary: Mental health conditions and symptoms in children and young people are increasing. Children and young people (CYP) with a chronic physical health condition often report having mental health problems such as feelings of anxiety and depression. A lot of research has focused on risk – circumstances that make it more likely for young people to experience mental health problems. In this project we want to focus on resilience - the young person’s ability to use their strengths and support from family and friends to overcome challenges in their life. Resilience has not often been a focus of support programmes for CYP with a physical condition. We would like to find out what experiences are common for young people living with physical health conditions, so that we can develop a support programme that applies across Child Health. We will use knowledge from these shared experiences to co-create the support programme with young people – called ‘tools for life’ (suggestion by CYP). We will also partner with national charities (partnerships have already been developed) who have worked with us before and who are very interested in supporting CYP around their mental health. The charity partners could help us to develop support components that are very specific to the condition (for example, fear of cancer coming back), which can be included in the overall support programme. Finally, work with young people has taught us that flexibility is very important: flexibility in when they access support, the way they access it and how it is offered to them. We will work together with young to shape this flexibility in support. The project will have four parts: Part 1 – Finding out what might work: List successful support components from 15 existing summaries of the evidence (reviews of the literature) to date and a report from Wellcome (an independent global charitable foundation which focuses on research), and identify the support elements (e.g., building confidence) which work well, and are acceptable to young people. Part 2 – Developing partnerships: Develop a partnership with local stakeholders (e.g., Paul Hughes and Laura Renishaw-Villier – Hub stakeholders; SolentMind, No Limits) and national charities (e.g., Children’s Cancer and Leukaemia Group, Kidney Care UK, Asthma UK). who can support the development of the support programme, both the general as disease-specific elements. We will hold several workshops with stakeholders to develop the partnership and agree on the goals of the partnership and ways to work together. Part 3 – Developing the support programme: We will co-create (develop together with young people) the support programme– ‘tools for life’ - to increase resilience. We will focus on flexibility in the way the programme is offered to young people, and when young people access the programme, to suit their needs. This flexibility will make young people more likely to use the programme. Part 4: Testing the support programme: We will test the support programme with 30 young people, to find out how many young people use the programme, if the programme is acceptable, how they use the programme, and how much they use the programme. We will also find out what the most important indicators of success are for the programme, such as young people experiencing less symptoms of anxiety and depression, and a better quality of life. Read all Mental Health Hub projects

3a154492-5625-4fba-82b5-37d30dbaccaa COMPLETED: Creating Learning Environments for Compassionate Care (CLECC) in mental health settings: an implementation study This project has been completed and had created the CLECC toolkit which you can see here Principal Investigator: Dr Michelle Myall Team members : Dr Michelle Myall (Senior Research and Implementation Fellow, School of Health Sciences, University of Southampton), Dr Sarah Williams (Associate Director for Research and Improvement, Solent NHS Trust) Professor Jackie Bridges (Professor of Older People's Care, School of Health Sciences, University of Southampton), Dr Jane Frankland (Senior Research Fellow, School of Health Sciences, University of Southampton), Cindy Brooks (Research Fellow, ARC Implementation team). Started: 1 October 2020 Ended : 30 September 2022 Project partners : Solent NHS Trust, Southern Health NHS Foundation Trust, NHS Improvement, Wessex AHSN, Centre for Implementation Science, University of Southampton. Co-funded by : NHS Improvement Lay summary Background There is some public concern about NHS hospital nurses’ capacity to provide compassionate care, but very little research about how to improve this situation. We have developed and piloted a programme called Creating Learning Environments for Compassionate Care (CLECC). In CLECC, all registered nurses and health care assistants from participating wards attend a study day, with a focus on team building and understanding patient experiences. A nurse educator (who is not usually part of the ward team) supports the team to try new ways of working on the ward, including regular supportive discussions on improving care. Ward managers attend learning groups to develop their leadership role. Volunteer team members receive training in observations of care and feeding back information to colleagues. In an earlier study, we piloted CLECC on four wards in two NHS hospitals, with two other wards continuing with business as usual. We found that CLECC could be put into practice on NHS hospital wards and that staff felt it improved their capacity to be compassionate. However, we found variations between the four nursing teams and two hospitals, in whether or not, staff felt able to take part in CLECC and to carry on with CLECC after the nurse educator left. We followed up the wards two years later and found that some wards had carried on using CLECC and shared the ideas with other teams. But some wards had stopped using CLECC and we found that this was influenced by amongst other factors: staffing levels, work priorities, staff turnover and managers’ support. The research findings to date suggest that each team differed in the ways they used and responded to the CLECC ideas. If we want programmes like CLECC to make a difference to patient care, we need more research to test it out in other settings. This will help us to better understand the conditions in which CLECC is most likely to make a positive difference and about how these conditions can be developed, supported and maintained. Aims of study This study will follow up to four nursing teams in mental health hospital settings who are using CLECC for the first time. We will use questionnaires, staff interviews and documentary evidence to gather data on the characteristics of organisations and teams, and the factors that influence CLECC’s progress in the first few months. We will look carefully at these data, working out the connections between the characteristics, the influencing factors and what happens when CLECC is used. We will develop a theory about how different organisational conditions affect the journey of programmes like CLECC. We will also use the study to test the best way to measure the impact of CLECC on staff well-being. How will findings be used? This research will help us understand what changes might be needed to get organisations ready for using CLECC. It will also mean we can identify in advance teams who are likely to benefit from CLECC, improving its value for money. We will use the findings to develop a guide for hospital managers to assess and improve their organisations and teams for their receptiveness to quality improvement activities like CLECC. We will share our findings with a wide range of people including patients and families, NHS managers, health and social care staff and other researchers.

Web-based Implementation Toolkit (WIT) Quick links: 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 Web-based Implementation Toolkit (WIT) is designed to be easy to use and intended for a variety of users, projects and settings where implementation is planned or being considered. Implementation is the attempt to introduce a new intervention, innovation or policy developed through research and apply it to health and/or social care and the third sector. WIT provides you with an interactive Implementation Wheel, Checklist and bite-size Webinars (average 10 minutes) to support you through your implementation journey. Who is WIT for? WIT recognises the need to provide freely available, accessible and simple to use tools that focus on key considerations at the outset of a project. WIT was co-produced through interactive workshops with health and social care professionals, third sector organisation professionals, academics and members of the public. Anyone looking to understand more about or engage in implementation. Why use WIT? When to use WIT From the beginning – when first considering and designing a project Throughout all stages of your implementation journey and beyond To guide you through implementation considerations for your project There are six wheel domains to help you consider what is required for implementation. Click on a domain segment to find out more. 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 How to use WIT Use the interactive Implementation Wheel, Checklist and bitesize Webinars to support you on your implementation journey and beyond. The six Wheel domains can be used iteratively, and in no particular order. The Checklist is downloadable and consists of the same domains as the Wheel. You can use this to complete with your team and check progress of your implementation journey. The Webinars , approximately 10 minutes duration, provide sessions relating to the six Wheel and Checklist domains and also to an introduction to implementation and implementation theories and frameworks. Hover on keywords to see definitions Other words in bold represent key learning points The Resources section provides suggestions for other resources you may find helpful. implementation Implementation is the attempt to introduce a new intervention, innovation or policy developed through research and apply it to health and/or social care and the third sector. Feedback via our short survey If you fulfil the criteria on the attached poster , Researchers from the School of Health Sciences, University of Southampton/NIHR ARC Wessex would like you to test WIT by providing feedback via a short survey . Or alternatively scan the QR code. Thank you. Contact us If you have any questions about WIT, please contact: C.F.Brooks@soton.ac.uk Disclaimer The development of WIT has been supported by the NHS Insight Prioritisation Programme (NIPP). The views expressed are those of the authors and not necessarily those of the NHS. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of this website. How to cite Brooks, C.F., Lund, S., Kryl, D., and Myall M. (2023) Web-based Implementation Toolkit (WIT). University of Southampton. Available at: www.arc-wx.nihr.ac.uk/web-implementation-toolkit Accessibility We are committed to providing a website that is accessible to as many people as possible. We are actively working to increase the accessibility and usability of the website.

Courses and resources Seminar, courses and w orkshops Read more Resou rces for finding a mentor Read more Information on organisations that can help with your research application Read more Home > About us A guide to starting out in clinical academic research A guide to starting out in clinical academic research Play Video Share Whole Channel This Video Facebook Twitter Pinterest Tumblr Copy Link Link Copied Search videos Search video... Now Playing What is a clinical academic career #1 07:42 Play Video Now Playing Forming your team #2 05:17 Play Video Now Playing Finding a Mentor #3 04:10 Play Video Seminar, courses and workshops Seminars Senior Statistician - Dr David Culliford chairs a workshop explaining what tools and methods can be useful in statistical analysis in research Short courses Details of our short courses coming soon... Seminar Resources for finding a mentor As part of our support for anyone wanting to become a Clinical Academic we have gathered some information that can be useful in finding a mentor: Resources: Before embarking on a mentoring relationship: https://www.nihr.ac.uk/documents/before-embarking-on-a-mentoring-relationship/27682 Beginning the mentoring relationship: https://www.nihr.ac.uk/documents/beginning-the-mentoring-relationship/27692 The Professional Mentor blog: https://www.theprofessionalmentor.com/blog.html Finding a mentor: Does your clinical Trust or academic partner institution offer a mentoring scheme? All doctoral and post-doctoral ICA awardees can access free, 1:1 clinical academic career mentorship through the mentorship scheme: https://www.nihr.ac.uk/explore-nihr/academy-programmes/hee-nihr-integrated-clinical-and-practitioner-academic-programme.htm#six For postdoctoral NIHR Academy Members, the NIHR Leaders Support and Development Programme is available: https://www.nihr.ac.uk/explore-nihr/academy-programmes/nihr-leaders-support-and-development-programme Resources for finding mentor Org that can help Information on organisations that can help with your research application Health Innovation Wessex Health Innovation Networks (HINs) are partnership bodies that bring together all partners across a regional health economy to improve the health of local communities. There are 15 HINs across England, established by NHS England in 2013 to spread innovation at pace and scale – improving health and generating economic growth. Each HIN works across a distinct geography serving a different population in each region. The HINs are: East Midlands Eastern Health Innovation Manchester Health Innovation Network Imperial College Health Partners Kent, Surrey and Sussex North East and North Cumbria Innovation Agency: Academic Health Science Network for the North West Coast Oxford South West UCLPartners Wessex West Midlands West of England Yorkshire & Humber Each HIN works within its own area to develop projects, programmes and initiatives that reflect the diversity of our local populations and healthcare challenges. However, we all share the following priorities: Promoting economic growth: fostering opportunities for industry to work effectively with the NHS Spreading innovation at pace and scale: creating the right environment, and supporting collaboration across boundaries Improving patient safety: using knowledge, expertise and networks to bring together patients, healthcare staff and partners to determine priorities and develop and implement solutions Optimising medicine use: ensuring that medication is used to its maximum benefit – improving safety and making efficient use of NHS resources Improving quality and reducing variation: by spreading best practice we increase productivity and reduce variation, thereby improving patient outcomes Putting research into practice: our strong links with academia mean we are uniquely placed to support the translation of research into clinical practice Collaborating on national programmes. NIHR Applied Research Collaboration Wessex NIHR Applied Research Collaborations (ARCs) support applied health and care research that responds to, and meets, the needs of local populations and local health and care systems. The NIHR ARC Wessex is one of 15 ARCs across England, part of a £135 million investment by the NIHR to improve the health and care of patients and the public.