A GLOBAL MODELING FRAMEWORK TO ESTIMATE THE LONG-TERM HEALTH AND ECONOMIC RETURNS OF CHILDHOOD OBESITY PREVENTION INITIATIVES ACROSS MULTIPLE COUNTRIES
Author(s)
Joseph P. Mensah, PhD1, Ben Amies-Cull, DPhil1, Johan L. Vinther, PhD2, Jo Jewell, MSc2, Thomas H. Rahbek, MSc2, Tim Hardy, MPhil3, Hazel Wright, MSc3, Filippo Bianchi, DPhil3.
1University of Oxford, Oxford, United Kingdom, 2Novo Nordisk, Bagsværd, Denmark, 3Behavioural Insights Team, London, United Kingdom.
1University of Oxford, Oxford, United Kingdom, 2Novo Nordisk, Bagsværd, Denmark, 3Behavioural Insights Team, London, United Kingdom.
OBJECTIVES: Childhood obesity is a significant global health challenge affecting over 379 million children, disproportionately concentrated in disadvantaged urban communities. Community-based prevention initiatives, often co-designed with local stakeholders, introduce localised heterogeneity and short-term results, creating evidence transferability challenges. We present an operational framework developed within the Cities for Better Health Childhood Obesity Prevention Initiative (CBH COPI), a multi-country programme co-designing, implementing, and evaluating community-based dietary and physical activity interventions spanning six global cities. While experimental studies capture immediate behavioural shifts, this global modelling framework translates short-term changes into long-term health and economic outcomes critical for justifying sustained investment in primary prevention.
METHODS: CBH COPI delivers multi-level, multi-component interventions targeting children aged 6-13 years. Employing a controlled repeated cross-sectional analysis, with a minimum of 12,000 data points across baseline, 12- and 24-month intervals, the framework establishes a two-stage data-to-model pipeline: (1) collection of localised shifts in BMI z-scores, diet, physical activity, and health-related quality of life (HRQoL); and (2) translation of these outcomes into a localised adaptation of the PRIMEtime multistate life table model to estimate long-term impacts on Quality-Adjusted Life Years, obesity-related disease incidence, and cost-effectiveness.
RESULTS: This scalable methodology harmonises heterogeneous intervention effects into a common health economic modelling platform. Importantly, it aims to reduce decision uncertainty by highlighting the long-term, compounding impacts of short-term actions. This approach facilitates a standardised assessment of effectiveness and cost-effectiveness, enabling scalability across diverse healthcare systems.
CONCLUSIONS: This framework demonstrates an approach to bridging heterogeneity in community-based prevention initiatives. While CBH COPI serves as the proof-of-concept, the framework’s architecture is widely applicable to other public health contexts. By modelling long-term HRQoL and economic outputs, it addresses key challenges in evidence comparability for complex public health programmes, empowering decision-makers to assess the wider, long-term societal value of investing in prevention strategies to improve health equity and cardiometabolic health.
METHODS: CBH COPI delivers multi-level, multi-component interventions targeting children aged 6-13 years. Employing a controlled repeated cross-sectional analysis, with a minimum of 12,000 data points across baseline, 12- and 24-month intervals, the framework establishes a two-stage data-to-model pipeline: (1) collection of localised shifts in BMI z-scores, diet, physical activity, and health-related quality of life (HRQoL); and (2) translation of these outcomes into a localised adaptation of the PRIMEtime multistate life table model to estimate long-term impacts on Quality-Adjusted Life Years, obesity-related disease incidence, and cost-effectiveness.
RESULTS: This scalable methodology harmonises heterogeneous intervention effects into a common health economic modelling platform. Importantly, it aims to reduce decision uncertainty by highlighting the long-term, compounding impacts of short-term actions. This approach facilitates a standardised assessment of effectiveness and cost-effectiveness, enabling scalability across diverse healthcare systems.
CONCLUSIONS: This framework demonstrates an approach to bridging heterogeneity in community-based prevention initiatives. While CBH COPI serves as the proof-of-concept, the framework’s architecture is widely applicable to other public health contexts. By modelling long-term HRQoL and economic outputs, it addresses key challenges in evidence comparability for complex public health programmes, empowering decision-makers to assess the wider, long-term societal value of investing in prevention strategies to improve health equity and cardiometabolic health.
Conference/Value in Health Info
2026-11, ISPOR Europe 2026, Vienna, Austria
Value in Health, Volume 29, Issue 12S
Code
EPH217
Topic
Economic Evaluation, Epidemiology & Public Health, Methodological & Statistical Research
Topic Subcategory
Public Health
Disease
Cardiovascular Disorders (including MI, Stroke, Circulatory), Diabetes/Endocrine/Metabolic Disorders (including obesity), No Additional Disease & Conditions/Specialized Treatment Areas, Nutrition, Pediatrics