IRIS Programme: Can we improve the healthcare response to domestic violence and abuse? primary care domestic violence implementation Population health and social care women's health
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
Personalised treatment packages for adults with learning disabilities who display aggression in community settings (PETAL) learning difficulties Mental Health
Selecting reablement models that best support people leaving hospital after an unplanned admissions Population health and social care care pathways
Frailty amongst people experiencing homelessness physical environment adults integrated care health equity life expectancy
Discussion of mental health concerns in GP consultations Innovation and Implementation Science primary care communication Mental Health
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
Evaluation of the 0-5 Public Health Investment in England: a mixed methods study integrating analyses of national linked administrative data with in-depth case studies Population health and social care Local Authority digital Health economics and data public health children & young people
The mental health, economic and societal benefits of co-locating welfare advice in primary care primary care Local Authority social welfare health equity integrated care Mental Health
EXPERTS II – How are patient and caregiver participation in health and social care shaped by experienced burden of treatment and social inequalities? A qualitative synthesis decision making physical environment adults implementation long-term conditions health equity Innovation and Implementation Science co-production families