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- ADOPTED (PhD): PREPARE-to-ACT study: Preparing for and Responding to Emergencies – A multi-phased qualitative investigation of Patients’ And members of their RElational networks’ decisions to use urgent and emergency care during Anti-Cancer Treatment
9cf70c4f-6d1c-4acf-8a29-5aa00565f951 ADOPTED (PhD): PREPARE-to-ACT study: Preparing for and Responding to Emergencies – A multi-phased qualitative investigation of Patients’ And members of their RElational networks’ decisions to use urgent and emergency care during Anti-Cancer Treatment Principal Investigator: John Defty, University Hospital Southampton NHS Foundation Trust Start: September 2022 Ends: September 2026 Background Complications of anti-cancer treatment can be life threatening . Anti-cancer treatments, including chemotherapy, radiotherapy, and immunotherapy, are increasingly provided on a day-case basis , meaning that complications occur at home and necessitate a response from urgent and emergency care services . Evidence suggests people receiving anti-cancer treatment delay seeking help despite access to dedicated emergency care (acute oncology services) . Focus of research to date has been for what reasons and when , rather than how and why, people with cancer use these services. Evidence suggests patients and informal carers rely on prior instructions from cancer specialists to identify and interpret the severity of complications but find relating to this information difficult when acutely unwell . Emergency ‘contingency planning’ was identified as a priority for improving the safety of anti-cancer treatment but, there are few studies that describe how pre-treatment emergency planning influences help-seeking for complications of anti-cancer treatment . With the number of people eligible for anti-cancer treatment expected to rise by two million by 2040, the need for research is now urgent. Results from our scoping review (completed; drafted for publication) suggest preparing for and making sense of urgent and emergency care is hard work for people with cancer. It also revealed poor understanding of how this work might differ for people receiving different types of treatment. This study aims to address these gaps by answering the question: ‘How do patients and informal carers prepare and seek help for complications of different anti-cancer treatments?’
- COMPLETED: Development of a core outcome set for nurse wellbeing: a Delphi study
0be5d40d-fcbc-4b27-971a-75e1967ce33d COMPLETED: Development of a core outcome set for nurse wellbeing: a Delphi study Lead applicant: Dr Gemma Simons Co-applicants: Prof Jane Ball , Prof David Baldwin , Dr Emma Wadey, Dr Catherine Smith Participant Information Sheet : Download here Project Summary: Read project summary document (short summary) Read project summary document (long summary) Background : Little attention has been paid to the work lives and wellbeing of the nursing workforce, despite it being a priority area. Currently, there is no consensus on what wellbeing is or how it should be measured. An evidence-based, positive way of measuring wellbeing is through a Core Outcome Set. What is a Core Outcome Set? Outcomes are used to measure whether a strategy, intervention or action has had the required result. There are often multiple outcomes and ways of measuring them, which makes comparison difficult. A Core Outcome Set is an agreed, or consensus, set of outcomes and measurement tools that, when used, provide consistent and comprehensive focus as everyone is measuring and reporting the same outcomes in the same way. Aim: This project aims to develop a Core Outcome Set for Nurse Wellbeing. Objectives: Produce a list of potential wellbeing outcomes and help text to describe them in that are clear and meaningful for nurses [PPI panel] Develop a consensus between nurses and nurse wellbeing experts on a core outcome set for nurse wellbeing [Delphi Study] Identify and assess for quality measurement instruments for the core outcome set for nurse wellbeing identified by the Delphi study [Critical Literature Review] Select measurement tools for the identified core outcome set and agree on a final Core Outcome Set for Nurse Wellbeing [PPI panel and Study Advisory Group]. Implications and Impact: A Core Outcome Set for Nurse Wellbeing developed by nursing and nurse wellbeing experts will provide researchers and those undertaking governance with evidence-based and meaningful tools with which to evaluate wellbeing interventions. This study is registered on the Core Outcome Measures in Effectiveness Trials (COMET Initiative) database https://www.comet-initiative.org/Studies/Details/2433 Publiations The Mental Health of Medical Students: Supporting Wellbeing in Medical Education | Oxford Academic ( oup.com ) https://doi.org/10.1002/wps.21177
- COMPLETED: Improving community health care planning
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 Useful Models (Open source): Reproduced exact models from the literature: https://github.com/c-lamas/hhcrsp Our own contribution: https://github.com/miguelreula/MILP_HHCRSP Synthetic Datasets: https://github.com/c-lamas/instances_hhcrsp
- Case studies | NIHR ARC Wessex
Home > About us Case studies Dr Dominique Mylods Journey to becoming a researcher Dr Dominique Mylod, is a lecturer in Midwifery at Bournemouth University. In an interview with Jamie Stevenson she talks openly, passionately and with great humour about her journey from Teaching English as a Foreign Language to qualifying ad a midwife at 40, then making a start on her research career. Anna Badley Community nursing to PhD I love research and I always have done, but my journey to being awarded an ARC Wessex PhD Scholarship has been far from traditional. Read more
- Researcher Resources | NIHR ARC Wessex
Public and Community Involvement, Engagement and Participation Resources Why involve patients and the public? PPI in research is expected for many funding streams (including the NIHR) and is a consideration made by the National Research Ethics Service when assessing applications. If PPI is not incorporated into your work, you will have to give a clear explanation of why not. It could benefit your research through: Additional expertise – this could come from having experience of the illness or simply relate to their age or demographic Ensuring the research questions are relevant and the priorities reflect the needs of those affected Improving patient experience and influencing trial recruitment and retention Assessing ethics/acceptability – helping ensure your research is conducted in a way that is sensitive to the needs and preferences of your participants Assisting with writing in lay language How could PPI help my research? Patients and the public involved in your research could: Help write and design patient literature for your participants, so they are more suitable for the reader. Comment on ethical issues associated with studies, and how they can be addressed Ensure your study is appropriately designed Get advice on how to share your findings to a wide audience, in a way the public can understand Guide the design of questionnaires to get reliable, honest data from trial participants, particularly when questions are about sensitive topics Sit on your steering committee, to provide input based on their direct experience of the topic being investigated Please see our Standard documents, templates and procedures to download the guidelines for researchers accessing any of the PPI groups and feedback form for PPI activities (for completion at the end of your PPI activity). NIHR resource links below and other helpful organisations Tips on writing a PLAIN ENGLISH SUMMARY Briefing notes for researchers - public involvement in NHS, health and social care research Payment guidance for researchers and professionals UK Standards for Public Involvement Connect with expertise Raising Voices in Research RViR (Hampshire and Isle of Wight) Public Involvement front Door You can also search for advice and tips using the NIHR Learning for Involvement search page The NIHR has a series of PPI in Action Webinars which you can watch below Aimed at researchers and public members alike, each section gives a short introduction to all elements needed to be considered for good quality PCIEP, with additional resources available for those needing more detailed information. UK Standards for Public Involvement Produced by the NIHR, this is a framework for what good public involvement in research looks like and designed to help researchers and organisations improve the quality and consistency of public involvement in health and care research. Reaching Out: Building relationships to increase research impact A report written about an online event where community groups, researchers and NIHR organisations from Kent, Surrey and Sussex came together to explore the barriers to ethnic minority group involvement in research and to consider what could be done to address these through partnership working. Learning for Involvement NIHR web pages offering Training and Resources for Public Involvement in Research. If you have any queries please email the PCIEP Team ppiesupport@uhs.nhs.uk
- COMPLETED: Testing the effects of food product placement on customers’ visual attention and intended product purchases: a randomised trial in a virtual supermarket setting (Phase I)
78e6cc7b-5ff9-411b-b288-1d82a03f0414 COMPLETED: Testing the effects of food product placement on customers’ visual attention and intended product purchases: a randomised trial in a virtual supermarket setting (Phase I) Does supermarket placement affect intention to buy healthy and unhealthy foods? Principal Investigator: Janis Baird and Christina Vogel, Professor of Public Health and Epidemiology and Principal Research Fellow in Public Health Nutrition respectively, MRC Lifecourse Epidemiology Centre, University of Southampton Team: Dr Sarah Crozier, Senior Statistician, MRC Lifecourse Epidemiology Centre, University of Southampton Sarah Jenner, Senior Research Assistant at University of Southampton Dr Sarah Muir, Senior Research Fellow, University of Southampton Professor Marcus Munafo and Dr Olivia Maynard, Bristol University Ravita Taheem, Southampton City Council, Sure Start Children’s Centres Megan Brook, Public Contributor Tiana Chadwick, Public Contributo Start date: 1 October 2019 End date: 28 February 2022 Background Poor diet has been recognised as a major contributor to the burden of non- communicable diseases in the UK and costs the NHS approximately £6 Billion annually. Most adults in England consume too much salt, saturated fat and free sugar, and do not eat the recommended five daily portions of fruit and vegetables. Among low-income groups these trends are more extreme. Almost 90% of UK grocery sales occur within supermarkets4 and their subtle use of marketing techniques influences the food choices of an almost captive market. Women of childbearing age are an important target group to study because they remain primarily responsible for domestic food tasks such as shopping and cooking and their nutrition status influences the short and long-term health of their children. Our prior work in Hampshire showed that the diets of women with low educational attainment were more affected by less healthy supermarket environments than women with higher attainment. Shopping at less healthy discount and small supermarkets, with poorer availability, pricing and placement of healthy foods, was associated with poor dietary quality among women who left school aged 16 years but not among those with degree qualifications. UK government policy recognises that more effort is needed to develop interventions to improve health equitably and is introducing legislation on product placement initiatives to support families to make healthier food choices in supermarkets. Research using adequately powered clustered randomised controlled trials in supermarkets is limited, largely due to the complexity and large number of stores required. Evaluating changes in supermarket layout is notoriously challenging due to differing health and business agendas and randomisation at the store level requires commitment that is problematic in this highly competitive, commercial setting. Virtual supermarkets offer a viable alternative to investigate the likely impact of supermarket-based, healthy eating policy options using robust trial designs. Additionally, neuroscience techniques, such as eye-tracking, offer objective evidence that complements self-report behaviours, and facilitate a deeper understanding of the cognitive mechanisms underlying health-related behaviours. Such techniques have been used to examine how product placement facilitates customers’ visual attention, however there is a gap in understanding of how visual attention differs according to the healthfulness of products, particularly while placed in prominent in-store locations and whether visual attention differs according to customer’s socioeconomic position. This study aims to use experimental randomised trials and a virtual supermarket setting to determine differences in visual attention and intended purchase of healthy, unhealthy and non-food products placed in prominent in-store locations such as checkouts. It will also assess effect modification by educational attainment on these relationships to explore potential effects on inequalities. This is the first of two phases of research assessing visual responses to product placement. In this phase, heat mapping technology using Qualtrics software determined whether interest in and intended purchase of products in prominent in-store locations differed if the products were healthy, unhealthy or non-food items. We assessed effect modification by educational attainment to explore potential effects on inequalities. Women with young children (n=230), recruited through Sure Start Children’s Centres, early years setting and other community groups in Hampshire, undertook shopping trips in a virtual supermarket to assess whether their purchasing intentions differ if unhealthy foods, healthy foods or non-food items are placed in prominent positions (store entrances, checkouts and end of aisle). Preliminary findings indicated differences in women’s intention to buy certain types of products according to their educational attainment. Women with no educational qualifications beyond aged 16 years were intent on purchasing fewer healthy products when they were placed in prominent locations whereas those with higher educational attainment were intent on buying significantly more healthy products. A total of 230 women participated in phase I, exceeding our target sample size of 52. The study Women were shown a series of pictures representing six journeys through a supermarket. Pictures focused on the areas in a store where most shoppers usually pass through including the store entrance, end-of-aisles and checkouts. In the first three journeys, women needed to click all items they were interested in. In the last three journeys they needed to click all the items they would intend to buy if this was a real shop. Each set of journeys included a healthy journey, unhealthy journey and a non-food journey. What were the results? 201 women took part in a virtual supermarket survey. Overall, women in the study showed more interest in unhealthy products than healthy or non-food items. At checkouts, however, they did show more interest in non-food items. Women intended to buy more healthy and non-food items than unhealthy food items. On average they wanted to buy 12.9 healthy products per shop compared to 11.5 unhealthy products. What difference will this make? Unhealthy products can be interesting to women who shop at supermarkets but they have higher intentions to buy healthy and non-food items in noticeable places in stores. Supermarkets usually place unhealthy foods in noticeable places to make profits. Replacing these unhealthy foods with healthy or non-food items will just as likely, if not more successfully, lead to purchases. This can help families lead healthier lives. Why is this important for patients, health and care providers and policy makers ? Placing unhealthy foods in noticeable places can lead to impulse purchases of foods that can lead to obesity. Our study shows that women do not intend to buy these foods but may show interest in them. Since 2022, UK policy has banned the placement of some unhealthy foods at noticeable places in supermarkets. This research provides evidence that customers likely support this policy as they would like to buy healthy and non-food items from these locations. What we are going to be doing next? We wanted to further understand how attention to healthy, unhealthy and non-food items differ in noticeable places in supermarkets. We therefore ran eye-tracking experiments with 70 women in Hampshire. Data are being analysed. We plan to report the results of our survey and eye-tracking studies to policymakers (e.g. Department of Health and Social Care and Public Health England) via a policy brief. We also aim to share our results with families via Sure Start Children’s Centres, Facebook and Local Schools. We have plans to share our findings at public health conferences and in an academic journal.
- PARIEDA - Prediction of Acute Respiratory Infection outcomes prior to Emergency Department Attendance
f1f73a06-b3fc-4e9d-b46d-0ecc2e946c91 PARIEDA - Prediction of Acute Respiratory Infection outcomes prior to Emergency Department Attendance Principal Investigator: Dr Daniel Burns, Senior Research Engineer, University of Southampton, d.burns@soton.ac.uk Team: Professor Michael Boniface, Professorial Fellow of Information Systems, University of Southampton, m.j.boniface@soton.ac.uk Professor Matthew Inada-Kim, National Clinical Director-Infection, AMR & Deterioration-NHS England & Improvement, National Clinical Lead COVID NHS@home Visiting Professor, University of Southampton Chair COVID pathways group, matthew.inada-kim@nhs.net Dr Stephen Kidd, Lead Healthcare Scientist, Hampshire Hospitals Foundation Trust, stephen.kidd@hhft.nhs.uk Starts: 1/4/2023 Ends: 30/9/2024 Aim: We will help community doctors and nurses decide how best to care for patients with serious respiratory illness. The right care depends on how ill a patient is and if they will get worse. Care may include home monitoring or hospital visits. We aim to use computer algorithms to help doctors and nurses make these decisions. We expect patients to avoid unnecessary trips to hospital and to feel more supported. Background: Hospitals have had record number of emergency departments visits. Respiratory infections are almost half of the visits. Many of these patients were not admitted to hospital. This means that some patients could be cared outside of the hospital in the community. COVID-19 is a serious respiratory illness. During the COVID-19 pandemic a new way to care for patients was created. Instead of patients going straight to hospital, they were assessed in the community. Only the most serious cases were then sent to hospital. Community care and assessment is now being considered for other respiratory illnesses. Approach: We will use computer algorithms to help community doctors and nurses decide which patients are at most risk of serious respiratory illness. Risk assessment will be done using machine learning. Machine learning is a way to train a computer to categorise patients into groups using data about patients and services they use. We will use historical hospital data to identify patients in high-risk groups. The patient categories will then be used to inform community decisions before attendance at hospital. Patient and Public Involvement: Patients and public have helped develop the research through evaluation pilots for community assessment hubs. PPI will influence data usage and the use of risk groupings within care pathways. Two public members will participant in a Steering Committee. A PPI Committee will organise three workshops involving ten patients and public in the research. Dissemination: Communication will engage the public and decision makers. We will work with patients and the public to design engaging communication and seek acceptance. Our results will be published and will inform national policy.
- COMPLETED ADOPTED PROJECT: Comparing pharmacological and non-pharmacological interventions for adults with Attention-Deficit/Hyperactivity Disorder (ADHD): systematic review and network meta-analysis
eb290c7e-cd77-4244-9d45-322994af9f69 COMPLETED ADOPTED PROJECT: Comparing pharmacological and non-pharmacological interventions for adults with Attention-Deficit/Hyperactivity Disorder (ADHD): systematic review and network meta-analysis Chief Investigator: Professor Samuele Cortese – University of Southampton Project Team Members: Professor Andrea Cipriani – University of Oxford, Associate Professor Corentin Gosling – University of Paris Nanterre, France, Dr Luis Faraht – University of São Paulo, Brazil / Yale University Child Study Center, USA, Dr Cinzia Del Giovane – University of Modena and Reggio, Italy Project partners: Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK; Oxford Precision Psychiatry Lab, National Institute for Health and Care Research Oxford Health Biomedical Research Centre, Oxford, UK; Oxford Health National Health Service (NHS) Foundation Trust, Warneford Hospital, Oxford, UK. Electronic address: edoardo.ostinelli@psych.ox.ac.uk . Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany. Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK; Oxford Precision Psychiatry Lab, National Institute for Health and Care Research Oxford Health Biomedical Research Centre, Oxford, UK; Oxford Health National Health Service (NHS) Foundation Trust, Warneford Hospital, Oxford, UK. Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil. Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK; Oxford Precision Psychiatry Lab, National Institute for Health and Care Research Oxford Health Biomedical Research Centre, Oxford, UK. Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Modena, Italy; Institute of Primary Health Care, University of Bern, Bern, Switzerland. Hampshire and Isle of Wight NHS Foundation Trust, Southampton, UK; Department of Psychiatry, Faculty of Medicine, University of Southampton, Southampton, UK. Psychology Services, London, UK; Department of Psychology, Reykjavik University, Reykjavik, Iceland. Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK; Oxford Health National Health Service (NHS) Foundation Trust, Warneford Hospital, Oxford, UK. The National Attention Deficit Disorder Information and Support Services, Edgware, UK. Hampshire and Isle of Wight NHS Foundation Trust, Southampton, UK Full team listing including PPI :O stinelli EG, Schulze M, Zangani C, Farhat LC, Tomlinson A, Del Giovane C, Chamberlain SR, Philipsen A, Young S, Cowen PJ, Bilbow A (PPI), Cipriani A, Cortese S Ended: 28th February 2024 Background: It is currently unclear how different treatment options for preschool children with ADHD compare with each other in terms of efficacy and safety. We will use data from available randomised controlled trials (RCTs) and apply an advanced and innovative statistical approach (network meta-analysis) to answer this question. What did we find out? We found that Stimulant medications and atomoxetine are the only treatments that clearly help reduce the main symptoms of ADHD in the short term, based on both what patients say and what doctors observe. However, people were less likely to stick with atomoxetine than with a placebo (a dummy pill). There was no evidence available other important things like improving quality of life, and we don’t know much about how well they work in the long run. Non-medication treatments had mixed results depending on who was doing the rating. This study gives the most complete picture so far of how different treatments for adult ADHD compare to each other. It can help guide treatment choices, but those choices should always be based on a careful look at both the benefits and risks — and on what matters most to the individual. The study is already informing clinical guidelines, e.g., the ongoing guidelines from APOSARD (USA). The study has informed a freely available platform ( https://ebiadhd-database.org/ ) that has been utilised by 15,000 colleagues around the world and improved through feedback from 1,000 stakeholders worldwide See medication and treatment ratings Next Steps To test the impact of the platform on knowledge and clinical practice To contact guideline bodies in the UK (eg NICE) and abroad to bring the network meta-analysis and the related platform to their attention. Publications Comparative efficacy and acceptability of pharmacological, psychological, and neurostimulatory interventions for ADHD in adults: a systematic review and component network meta-analysis - ScienceDirect
- Nestor Serrano-Fuentes
Nestor Serrano-Fuentes RN, PhD student and Research assistant for the Long-Term Conditions Research Group, Health Sciences, University of Southampton < Back Traveling back in time: exploring the Netley Red Cross Hospital during World War I Nestor Serrano-Fuentes Nestor Serrano-Fuentes RN, PhD student and Research assistant for the Long-Term Conditions Research Group, Health Sciences, University of Southampton November is remembered as the month in which the First World War ended; a time to remember our loved ones who fell in battle. Between 1914 and 1918, many stories unfolded: stories of life, death, love, births, feelings and emotions. Those feelings flourish today when walking through the green park and woodland at Netley on the Southampton shoreline. I look at the sea, that little orange chapel in the middle of the great esplanade, I close my eyes and visualise the protagonists of this story, talking among themselves, laughing, shouting, touching and hugging… My name is Nestor, I am a young man, nurse and researcher at the University of Southampton. Two years ago, while running on a cold winter morning along the south coast at Netley, something drew my attention. What was a lonely chapel doing here? I stopped to read some information panels and discovered that, in that place had been the Netley Hospital or Royal Victoria Hospital. According to some books, this was the largest British military hospital of all time. Furthermore, with the arrival of the war-wounded its capacity grew yet further Leading to the building of the British Red Cross Hospital just behind the main building and the recruitment of volunteers in the UK and overseas. Netley Hospital in 1918 Sister Harvey and some of the patients from 41 Hut A Japanese nurse who worked at Netley in 1918 - unnamed I needed more information and began to browse the historical archives online. Later I came across a treasure; The Netley British Red Cross Magazine . It was December and I was combing the historical archives in Winchester and there in my hands were prints of those magazines from 1918. They were filled with poems written by soldiers and nurses, cartoons, real photos and countless stories told in the first person. A few days later, I phoned my friend Elena Andina, lecturer of nursing at the University of Leon (Spain). She is a dreamer, humanist, and a person with whom I share a passion for the history of the nursing profession. I said: “You’re not going to believe what I have found! We’ve got some work to do!” We decided to read those six issues of the magazine. We were filled with great affection for the people and stories. We set about starting to analyse and contextualise the data and information, and began to write an article on the history of nursing telling the story of how care was delivered to soldiers during World War I. We were so lucky, it was like travelling in a time machine, an incomparable feeling. After a first analysis, we realised that there was a relationship between what was happening at Netley and the revolutionary thinking and ideas of Florence Nightingale, who is considered the creator of modern nursing. The focus on the environment on care - sunlight, humidity, fresh air, silence during a night shift, empathy, the smallest details that nurses took care of, such as the size of pyjamas for their patients, the use of small boats as a source of leisure for patients and nurses, are just some of the aspects that we glimpsed between those pages. Throughout history, wars and pandemics have shaped and changed the way nursing care has been delivered. If we look back, many of the measures that were applied we continue to use today. During this covid19 pandemic, the importance of open spaces and physical spaces between people, fresh air or sunlight are the same – echoes of the voices speaking from the pages of the Netley magazines in 1918. They say history tends to repeat itself, for better or for worse. What can we learn from it? Let us continue to lovingly preserve it and keep it in mind to acknowledge our ancestors and as inspiration in the search for current and future answers. Nestor Exploring The Netley British Red Cross Magazine: An example of the development of nursing and patient care during the First World War - Nestor Serrano-Fuentes& Elena Andina-Diaz (download below) serranoandina_2020_netley-hospital .pdf Download PDF • 768KB Elena Andina-Diaz - co-researcher Previous Next
- ADOPTED: Exploratory research to examine the health impact of scams and fraud and the current knowledge and systems in the police and partner agencies for targeting and delivering victim support services
93e2e1bd-cd98-479a-93a0-a105e734b0c3 ADOPTED: Exploratory research to examine the health impact of scams and fraud and the current knowledge and systems in the police and partner agencies for targeting and delivering victim support services Lead research ers: Ms Ruth Halkon and Dr Michael Skidmore, The Police Foundation; Professor Mark Button, Director of the Centre for Cybercrime and Economic Crime, University of Portsmouth; Dr Amy Meenaghan, School of Criminology and Criminal Justice, University of Portsmouth. Aims We aim to help the police find those who are most likely to suffer the worst damage to their mental and physical health from falling victim to fraud and make sure they receive the support they need to prevent that damage happening. Background Fraud is the most common and fastest growing crime in England and Wales. Many people do not report fraud and those who do often don’t receive help to reduce the crime's impact on their wellbeing. People affected by fraud can suffer serious physical and mental health problems which can lead to poor physical health, anxiety, depression and suicide. Many factors can shape how victims are affected: stress caused by losing what to them are big sums of money feeling betrayed by someone they thought was their friend or partner blaming themselves feeling friends, family and service providers do not understand them struggling to recover due to existing social or health needs. The police know less about the needs of fraud victims than victims of other crimes like domestic abuse. They are under pressure to improve the service they offer but there are many gaps: Fraud is common crime and can affect victims in many ways, which hinders finding victims who need the most support Those police think are most likely to be harmed, known as ‘vulnerable’, may not suffer the worst effects It is not clear what being 'vulnerable' in a crime context actually means Current systems to address 'vulnerability' mainly focus on cutting crime rather than victim health Research by Which? suggests the impact of fraud on victims' wellbeing amounts to £9.3bn, but we need more data Design and methods Our research will focus on two police forces who work jointly to provide support to victims which is widely seen as the best in the country. The project will focus on their systems, data and services to measure their success and produce a case study for understanding and addressing fraud's health impacts. This will be done via: Reading research papers to find out more about fraud victim impact, vulnerability and victim needs Looking at police and health and welfare data to learn about health impacts of different fraud types Talking to those working for the police, social services, victim support services and key health services Interviews with national subject matter experts Interviews with fraud victims who have been given support after fraud impacted their health to learn how this helped them Patient and public involvement Our overall aim is to involve fraud victims in finding a support framework that works for them Dissemination The report will be launched at an event and published on the Police Foundation website. It will be promoted on our blog, newsletter and social media channels. This fact finding project is a first step to creating a new framework that will be used to find those who need the most help to stop their mental and physical health being badly hit and make sure they are given it. The future project would involve: Organising roundtable events with people Bringing police, health and welfare services together to trial the framework Sharing findings and learning points across the country
- PUNDIT – Predicting hospital Usage Numbers via a DIgital Twin
18fd758f-b147-4294-acb1-07c88dc1baa9 PUNDIT – Predicting hospital Usage Numbers via a DIgital Twin Principal Investigator: Dr Carlos Lamas-Fernandez , Associate Professor in Business Analytics/ Management Science in Southampton Business School / Faculty of Social Sciences, University of Southampton. Team : Professor Christine Currie , School of Mathematics, Faculty of Social Sciences, University of Southampton. Dr Dan Burns , Innovation Centre, Electronics & Computer Science, University of Southampton. Dr Chris Duckworth , Innovation Centre, Electronics & Computer Science, University of Southampton. Professor Michael Boniface , I nnovation Centre, Electronics & Computer Science, University of Southampton. Professor Peter Griffiths , School of Health Sciences, University of Southampton. Dr Mark Wright , University Hospital Southampton NHS Foundation Trust. Starts: 1 April, 2024 Ends : 30 September 2024 Summary Hospitals in the UK are in crisis with high levels of occupancy. The percentage of occupancy in England during July-September was 88%, and in UHS it reached 92.2% . These levels exceed the safety threshold for hospital occupancy, which sits at around 85%. Together with difficulties to ensure a smooth patient flow across the hospital, this results in adverse effects for patients: elongated hospital stays, increasing the backlog of elective procedures, increasing delays in ambulance handovers and increased mortality. In practice, hospitals try and control high occupancy levels by certain interventions, such as dedicated discharge teams, re-scheduling or cancelling elective procedures or repurposing hospital wards. These measures, however, are reactive, i.e. when the occupancy is already reaching unsafe levels, rather than proactive, that is, when anticipating a high occupancy in the near future. Further, it is not clear whether occupancy levels have an effect on treatment and discharge times, but from frontline clinicians at UHS, there is the hypothesis that higher occupancy could make them longer (as clinicians are busier prioritising the sick over the well patients who could go home), compounding the occupancy issues. Higher occupancy also decreases likelihood of patients being in the optimal location. A related research project (PROCED) has shown early evidence that frequent ward/team changes increase delays in patient discharge. The aim of this project is to investigate the feasibility and build the foundations of a simulation model that can predict accurately future, short-term, hospital bed occupancy to inform interventions. The project will have a special focus on investigating the feasibility of a model to be tailored to use in practice as a “Digital Twin” (DT), which can anticipate hospital occupancy under different scenarios, some of which can reflect proposed interventions.
- New Home Page | NIHR ARC Wessex
Welcome ARC Wessex ran from October 2019 until March 31st 2026 - This is our legacy website The new ARC Wessex will run from 1 April 2026 until March 31st 2031 - It's website is here Over the six and a half years ARC Wessex managed to leverage £** Million in addition to the initial £14 Million awarded by the National Institute for Health and Care Research You can read about it's research impact here


