Research programme

Research

Five connected strands of work on how early-life and reproductive health events shape long-run wellbeing — and on how that wellbeing should be measured and valued.

01

Pregnancy loss

Adverse pregnancy outcomes and maternal mental health

Miscarriage and pregnancy loss studied through large-scale linked electronic health records and longitudinal cohorts: how loss relates to psychiatric morbidity and self-harm risk in first-time pregnant women, and how quality of life evolves in the months and years that follow.

Representative work: Social Science & Medicine (2026); Value in Health (2026).

02

Preterm birth

Early-life risk and long-run adult outcomes

Multi-cohort and individual participant data meta-analyses that follow adults born very preterm or at very low birth weight into early and mid-adulthood. The work quantifies how early-life risk carries through to adult health-related quality of life, and how those effects differ across the sociodemographic spectrum rather than simply on average.

Representative work: PharmacoEconomics (2023); Social Science & Medicine (2025); Quality of Life Research (2025, 2026).

03

Measurement

Preference-based quality-of-life measurement

Methodological research on how preference-based instruments behave when they are actually used — including head-to-head comparison of the Health Utilities Index Mark 3 and the SF-6D, and what instrument choice implies for utility estimates and for the cost-effectiveness conclusions built on them.

Representative work: Quality of Life Research (2023); Ecological Economics (2018).

04

Neurodevelopment

Autism, intellectual disability and family wellbeing

Studies of children with syndromic autism spectrum disorders and of the families who care for them, covering family quality of life, parent–child relationships, resilience and positive parenting, including evidence drawn from the environmental disruption of the COVID-19 pandemic.

Representative work: Autism Research (2022); Journal of Autism and Developmental Disorders (2022, 2023).

05

Policy and value

Safety-net policy and economic evaluation

Causal-inference work on how safety-net programmes shape early-life skill formation, together with economic evaluation of clinical technologies — the value of high-intensity neonatal care, genomic diagnostics, screening programmes and orthopaedic devices.

Representative work: Food Policy (2021); Health Economics Review (2020); The Bone & Joint Journal (2024); Journal of Medical Internet Research (2026).

Approach

Methods

Individual participant data meta-analysis

Linked administrative and electronic health records

Causal inference and natural experiments

Longitudinal birth cohort analysis

Preference-based outcome measurement

Economic evaluation and cost-effectiveness

Heterogeneity and subgroup analysis