Our Expertise

During the COVID-19 pandemic, people living with chronic conditions and those awaiting elective surgery experienced major disruption to non-pandemic care across Europe. Lessons were needed on the implications of this loss of access and how to sustain essential care in future health emergencies.

Maternal mental health services in the North East and North Cumbria were not reaching women from underserved and minoritised backgrounds, and the reasons were not well understood.

Outdoor workers at a major UK military garrison faced potentially elevated occupational exposure to traffic-related air pollutants, but actual exposure levels and their drivers had not been well characterised.

An EU-funded health system resilience consortium needed a robust, validated evaluation framework and KPIs to assess a tabletop exercise demonstrating hybrid care models designed to sustain essential services during crises.

Public Health Wales needed to understand how its national maternal health information resources were actually being implemented, distributed and used on the ground.

Process evaluation combining surveys, interviews and focus groups with midwives, health visitors and health board leads across Wales, alongside review of distribution and implementation processes.

A national report that surfaced implementation barriers and enablers, drove increased demand for the resources, and informed strategic decisions at national programme level.

A regional NHS maternity programme covering perinatal mental health, reproductive health, breastfeeding, maternal healthy weight and tobacco dependence in pregnancy needed independent evidence on what was and was not working before the next commissioning cycle.

A community organisation delivering children's health education campaigns needed independent evidence on effectiveness and reach to strengthen delivery and demonstrate impact to funders.

An AI rehabilitation platform for patients with chronic conditions needed ethical oversight built into the development lifecycle rather than added at the end.

An AI decision-support tool for reducing pesticide use needed assurance that it would be trusted by farmers, regulators and environmental bodies before deployment.

An AI Earth Observation system using satellite data and machine learning to flag crop anomalies raised questions around privacy, fairness and equitable access for smaller producers.

A pandemic preparedness consortium needed an evidence base on the ethical, legal and social issues likely to shape how its tools and protocols would be used in practice.

A digital pandemic preparedness platform with its database, dashboards, predictive modelling tools and cross-border data flows needed privacy and ethical assurance acceptable to public health agencies across Europe.