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ADOPTED: (SIFT) Sensors in Fatigue Tracking in Parkinson’s. Exploring the relationship between perception of Fatigue and the performance of physical activities in people with Parkinson's with fatigue using wearable sensors Fatigue is one of the three most debilitating symptoms in Parkinson’s. Fatigue is difficult to diagnose, it often goes unrecognised, and is challenging to treat. The SIFT-PD study is exploring how fatigue impacts physical activity in people with and without Parkinson’s over a 3-day period. It asks participants to fill in fatigue diaries and uses wearable sensors to monitor the how people move over a period of three days. The sensors are small and light and worn on a belt. The sensors track activity (the amount, type and quality of movement). This research looks at whether the sensors can reveal how people’s movements change over the course of three days when they are fatigued. Furthermore, information from sensors might help understand what makes people fatigued and allow it to be measured. Knowing more about fatigue will help to recognise its impact and help develop ways of managing it better.

ADOPTED: 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. We will: Interview patients and health care professionals working in Post Covid services to understand their experience and document how the services function Invite patients to take part in a follow up survey to examine the outcomes of care and cost Review clinic data and patient reported data to estimate the costs of Long Covid care, and how this varies by service and patient characteristics Analyse routine data such as GP data and Hospital Episode Statistics as a supplement to the results from Post Covid services This study is part of the larger STIMULATE-ICP research programme and is funded by the National Institute of Health Research (NIHR). Ethical approval was obtained from South Central - Berkshire Research Ethics Committee (IRAS 303958). How can I find out more? If you have any questions about this project, please contact Donna Clutterbuck: d.clutterbuck@soton.ac.uk Do watch our patient-led video on this part of the study below. 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.

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 Funded : Academy of Medical Sciences Springboard grant Starts: 1/9/23 Ends: 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 will we do? We will identify possible improvements to shift patterns that work for nurses, their managers and patients. We will interview nurses and their managers to understand what they value when it comes to shift rostering. We will talk with a group of patients to understand what good care looks like to them. We will then run an online experiment. In this experiment we will present staff with a series of modified shift patterns. Using statistics, we will understand which shift patterns staff prefer. Why is this important? If we find changes to shift patterns that are acceptable for nurses, managers and patients, we can trial these changes in a real-life experiment. If the experiment - called "trial"- shows that changes to shift patterns work, fewer nurses will leave their jobs. If we find how to make nurses’ work less tiring, they will make fewer mistakes that compromise patient care. In addition, if fewer nurses leave, healthcare systems will save money.

Testing the effects of food product placement on customers’ visual attention and intended product purchases: a randomised trial in a virtual supermarket setting (Phase II) Principal Investigators: 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 Dr Hayward Godwin, Associate Professor of Psychology, University of Southampton Professor Marcus Munafo and Dr Olivia Maynard, Bristol University Ravita Taheem, Southampton City Council, Sure Start Children’s Centres Started: 1st March 2022 Ends: 31st March 2024 Background Poor diet is linked to an increased risk of obesity, diabetes and heart disease. 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. People with lower education and income levels are more likely to have poor diet and to experience health problems as a result. Women of childbearing age are primarily responsible for domestic food tasks such as shopping and cooking, and their diets are closely linked to those of their children. Most families buy their food from supermarkets and their food choices can be influenced by placement of items in-store and by promotions. Our research We want to find out how the placement and packaging of healthy and unhealthy foods influence the foods that women choose to buy. We will do this by creating a ‘virtual’ supermarket layout that participants will interact with on a computer screen. We will recruit women attending Sure Start Children’s Centres in Hampshire and those whose children attend early years settings. Hampshire is a county within the Wessex region with some relatively deprived areas. We will choose centres and early years settings located in areas of higher deprivation. Local data suggests that 70% of families with young children are engaged with the centres. Women using the virtual supermarket will be shown images of healthy and unhealthy foods and non-food items that are placed in noticeable locations in the supermarket like checkouts. We will measure the specific aspects of the images women look at using experimental techniques such as eye tracking, which records their gaze point and gaze duration. The eye tracker is positioned close to the computer screen allowing it to record where women look. We will then ask women to tell us the products that they saw for sale, the name of the products they considered purchasing, and aspects of the supermarket that took their interest, and why. Our findings will tell us how people respond to the placement and packaging of different types of food products and whether these reponses differ if families are poorer or more wealthy. These findings help us to design ways to layout supermarkets to help all families eat more healthy foods. Our research will begin in March 2022 and end in late 2022. We will share the findings from our study with local families attending Sure Start Children’s Centres and early years settings. We will inform local and national government employees about our findings which could help to refine current government policies to address childhood obesity.

ADOPTED: Nurture-U (Southampton): A longitudinal survey for student metal health and wellbeing Principal Investigator: Lucy Dorey Start Date: 1 July 2021 End Date: 1 July 2025 Background: Promoting good mental health within university students is a priority. Anxiety, depression and self-harm are rapidly increasing. University mental health services report demand beyond their capacity. Effective ways to prevent student mental difficulties are urgently needed. Further, university should be a positive life experience and promote students' emotional fitness and ability to thrive. Research and student feedback recommend changing university culture, environment and teaching to promote wellbeing. Stepped care in which students move through different steps based on need is also suggested to improve student wellbeing and service capacity. This starts with wellbeing promotion and prevention for all students, steps up to self-help for those with mild symptoms and to professional support for those with elevated symptoms. However, these approaches have not been rigorously tested in universities. We don't know which elements best promote good student mental health. We don't know what approaches work best for the diverse student body across gender, ethnicity, sexuality, sociodemographic background. We will test initiatives within the university environment and at each of the steps, see which initiatives students use, how well they work, and identify which work best for which students across diverse groups. Students will be active partners in shaping, delivering and evaluating all research. We will use repeated twice-yearly online surveys across 6 universities (110k undergraduates) to assess student wellbeing and mental health and understand what helps or hinders students seeking and getting help. A digital self-monitoring tool allows students to track their wellbeing, stress, and what support they use over time so we can map how they move through stepped care and how different steps interact with each other. To test whether changing university environment promotes wellbeing, first we will evaluate embedding compassion into education: teaching about diversity and mental health, practising kindness and understanding for self and others, and making assessment more flexible and responsive to students. Focus groups will explore how students experience this approach. Second, we will introduce a voluntary online mental health literacy course for first year undergraduates that teaches what influences mental health, how to promote wellbeing and how to seek help. Surveys before and after the course will test if it increases students' knowledge, healthy behaviours, helps-seeking and wellbeing. To better understand how to make self-help work for students, randomised trials will test book-based guided self-help to build personal strengths, unguided digital self-help to prevent depression in high-worrying students and digital self-help for depression and anxiety. We will compare supported versus unsupported digital cognitive-behavioural therapy, meditation and peer support apps to find out which app(s) students find most acceptable and explore which students most benefit from. We will test self-help with and without support because unsupported self-help can reach vastly more people and there is uncertainty about whether and for whom supported self-help is more effective. To improve the efficiency of student mental health services, we will test if adding a digital self-monitoring tool shared between student and clinician improves student experience and time to recovery by enabling care to be more proactive and responsive (e.g., more frequent meetings if symptoms rise). From this research, we will develop an evidence-based integrated model of inclusive and acceptable student wellbeing and mental health support. In partnership with students and university leaders, this model will inform policy recommendations. We will develop guidance, courses and tools to promote student wellbeing that are easily added to existing systems or that use tried-and-tested low-cost technology to ease their adoption and ongoing use.