Active Pregnancy, Children & Inherited Conditions Psychology & Behaviour

Partnership for Change: RCT of Infant Parent Support teams to address place-based inequalities for struggling families

In plain English

AI plain-English summary

A baby in the UK’s poorest neighbourhoods is over ten times more likely to end up in care or on a child protection plan than one in the wealthiest areas. This project tests a way to close that gap. The problem is that place-based inequalities in health and child welfare are systemic and intergenerational. Struggling families often cannot access the mental health support they need, because services are not designed around their local context. The researchers have co-designed Infant Parent Support (IPS) teams—mental health teams that offer therapy to families already involved with social work. This study will run a definitive randomised controlled trial across Glasgow and ten diverse London boroughs to test whether IPS teams reduce child maltreatment risk and improve parent and child mental health, and whether they are cost-effective. If the trial succeeds, the approach could be rolled out nationally. The goal is not just a therapy that works, but a model that embeds teams within local communities, employs parents as practitioners, and actively recruits marginalised families. That would mean fewer children entering care, better mental health for parents and infants, and a concrete tool for reducing the stark geographical inequalities that shape early life in the UK.

View original technical description
Through our parent-practitioner-community (PPC) partnership, consisting of parents with children involved with social work, infant mental health practitioners, researchers, and community stakeholders, we have coproduced Infant Parent Support teams (IPS), in Glasgow and London. IPS are mental health teams offering high quality therapeutic interventions to struggling families. IPS teams aim to reduce the risk of child maltreatment (CM) and improve parent and child mental health. In this study, we propose to further develop the place-based features of IPS teams and test the clinical and cost-effectiveness of IPS in a definitive randomised controlled trial (RCT). Place-based inequalities in health begin early in childhood: young children experiencing poverty and/or racism are more likely to develop health problems earlier in the lifespan than their peers. Children in the most deprived 10% of small UK neighbourhoods are over 10 times more likely to be in care or on protection plans than children in the least deprived 10%. Social determinants of health and child welfare are "systemic, population-based, cyclical and intergenerational" resulting in certain geographical areas being plagued by overlapping physical and mental health problems and addictions. Infants and preschool children rely on parents and practitioners access services - a process vulnerable to structural inequalities. Our novel aim is to redress this. Our coproduction has led to enhancements of IPS, including neurodevelopmental awareness, poverty awareness, and the employment of parents as practitioners and managers in IPS, and we have mapped the local contexts in which the IPS teams are embedded. We are currently conducting a feasibility randomised controlled trial (f-RCT) investigating how best to involve the families who can benefit most from IPS. In this new study, consisting of four work packages (WPs), we aim to reduce place-based inequalities through: WP1, co-creating a new theory of change for IPS that takes the local context in which IPS teams are embedded into account; WP2, implementing findings from our f-RCT and WP1 to make IPS teams fully place-based, i.e., further embedding IPS teams within their local communities and enhancing each local community's ability to make best use of IPS; WP3 (contiguous with WPs 1, 2 and 4), conducting a definitive RCT to examine the clinical and cost-effectiveness of IPS in reducing the risk of child maltreatment and improving mental health; and WP4, conducting a realist process evaluation examining what works best, for whom and in what context. RCT outcomes will also include measures of community connectedness and IPS costs, consequences and cost-effectiveness. At two adaptation points during the RCT, all four WPs will work with an expert scientific advisory group and the PPC-partnership to examine whether we are reaching our desired target population (including marginalised families) and, if not, to enhance our recruitment strategy to achieve equality of access to the study by employing recruiters who come from or have links with under-served populations, and/or targeting specific geographical areas through our extensive networks across Greater Glasgow and in ten diverse London Boroughs. Our success in reducing place-based inequalities will be measured by whether our RCT has recruited a trial population that demographically mirrors our target population. The techniques most successful in achieving this will inform recommendations for post-trial implementation of IPS to ensure that future IPS teams can reduce place-based inequalities by embedding optimally within their local community/service context, and targeting the families likely to most benefit.

View the original record at the funder ↗

Researchers

Alex McConnachie (Co-Investigator)Anna Gupta (Co-Investigator)Helen Minnis (Principal Investigator)Kathleen Boyd (Co-Investigator)Matthew Forde (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Manualising Individualised Placement Support for people with unemployment due to chronic pain and testing the feasibility of a randomised controlled trial
Parenting Intervention for Parents with Psychosis in Adult Mental Health Services (PIPPA): An acceptability and feasibility trial
Improving Postpartum Outcomes of Severe mental Illnesses in Ethnically diverse mothers (POSIE)
Ips beyond smi: Maximising individual placement and support (ips) beyond severe mental illness (smi)
PARTNERS2: development and pilot trial of primary care based collaborative care for people with serious mental illness

Original classification

Research and Innovation

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.