Royal Statistical Society 2026 International Conference
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Event details
Klaudia Rzepnicka from work package 1 of the Support2Work project will be delivering her presentation titled "Integrated Employment Support and Psychological Therapy: Causal Evidence on Labour Market Outcomes from England’s NHS Talking Therapies Programme," within the "Administrative Data Analytics: Health, Disability & Labour Outcomes" Section of the conference on Tuesday 8 September.
Abstract
Objectives: This research examines whether integrating Employment Advisers (EAs) into NHS Talking Therapies (NHSTT) can improve long-term labour market outcomes for people with common mental disorders such as depression and anxiety. Although these conditions drive substantial economic inactivity and prior evidence shows clinical and labour market gains from NHSTT, the independent effect of employment support on reversing reduced employment and earnings remains unclear. This study aims to quantify that impact.
Methods: We analysed a national population-based dataset that links individual-level NHSTT records with Census data, and HMRC Pay-As-You-Earn information (2014-2025). The study sample comprised working-age adults (aged 18 to 65) living in England who started NHSTT treatment between 2018 and 2023. We used Genetic Matching to identify comparable control groups, allowing us to compare EA recipients with never-treated and not-yet-treated patients. We then estimated staggered difference-in-differences models across monthly treatment cohorts.
Our primary outcomes were monthly employee gross pay and employment status, which provide greater precision than the self-reported survey measures used in previous evaluations. We further stratified analyses by characteristics such as baseline employment status, age group, sex, and area-level deprivation.
Results: Due to government and legal constraints, we cannot provide provisional results in this abstract, but we will be able to present these at the conference.
Conclusions: This paper provides the first nationally representative causal evaluation of the Employment Adviser programme within a national mental health intervention. Our study design addresses key limitations of prior work — including small geographic samples, self-reported outcomes, and cross-sectional comparisons — while explicitly accounting for treatment effect heterogeneity arising from variation in the timing of EA referral. This work is important for informing large-scale national schemes to support labour market participation and progression for individuals with mental ill-health.
Klaudia Tucker‑Rzepnicka
Klaudia Tucker‑Rzepnicka is a Senior Research Officer at the Office for National Statistics, specialising in the use of administrative health data to investigate key issues in physical and mental health. She has extensive experience working with large-scale population datasets, integrating sources such as the census, electronic health records, and employment data to generate robust, policy‑relevant insights.
Klaudia’s research interests span a wide range of mental health topics, with a focus on using data-driven methods to evaluate health interventions and improve outcomes. Her previous work includes assessing the impact of psychological therapies on labour market outcomes, such as employment, earnings, benefit receipt, and healthcare utilisation. She is passionate about producing high-quality evidence that informs public policy and enhances understanding of population health and wellbeing.
