CHAMPIONS: Co-producing recommendations to address the impact of COVID-19 on children in temporary accommodation Health economics and data Local Authority health equity children & young people COVID-19
Evaluating the impact of London’s Ultra-Low Emission Zone (ULEZ ) on physical activity and obesity in children Population health and social care Local Authority children & young people physical environment physical activity obesity
Assistive technology and home modifications: outcomes for people living with dementia and their carers, service use patterns and costs dementia older adults Population health and social care
LGBTQ+ self-management in child and youth mental health Mental Health children & young people self-management behaviour change gender inequality decision making care pathways
How can we define and identify household overcrowding affecting the wellbeing of families, using publicly available and council-held data? Population health and social care families Local Authority children & young people physical environment social welfare public health
The Nurture Early for Optimal Nutrition (NEON) Programme Local Authority children & young people ethnic minority groups nutrition families co-production Population health and social care maternal health
The effects of Low Traffic Neighbourhoods (LTN) on people’s health: A Rapid Review with Participatory Methods Schools children & young people decision making physical environment physical activity obesity respiratory families behaviour change Population health and social care public health
Establishing an evidence base about experiences of young people's ambulatory cancer care Integrated Care Systems children & young people decision making self-management cancer patient-reported outcomes families long-term conditions co-production primary care
Implementing effective primary care responses to poverty-related mental distress (DeStress-II) Mental Health physical environment primary care families minoritised experiences medical education quality improvement social welfare
Investigating the utility of machine learning methods to predict prognosis and guide treatment decisions for people with lung cancer (Lung-ORACLE) artificial intelligence care pathways cancer Innovation and Implementation Science long-term conditions cardiovascular quality improvement decision making