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DTSTART;TZID=UTC:20260413T153000
DTEND;TZID=UTC:20260413T163000
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SUMMARY:Culture and Health
DESCRIPTION:Add to Calendar! \nThis webinar explores the multifaceted relationship between culture and health from an economic perspective\, integrating insights from anthropology\, psychology\, and political science. It begins by examining how culture provides meaning to illness and suffering and explores how culturally grounded “disease theory systems” influence beliefs about what causes illness\, how and whether suffering should be remedied\, and the appropriate role of the state in allocating health care resources. The importance of culture in defining the boundary between normal and abnormal pathology is highlighted via case studies. The chapter next reviews evidence on how health behaviors such as smoking\, firearm ownership\, dietary practices\, and reproductive decisions are influenced by cultural norms of masculinity and religiosity. Lastly\, it examines how firms\, governments\, and civil society leverage and advance cultural narratives to influence individual behavior and public policy. Thus\, culture in relation to health both naturally evolves and is actively constructed\, with implications for health inequality and health policy. \nSpeaker:  \nMarcella Alsan is a physician-economist studying the economics of health inequality domestically and internationally. She is Associate Editor at the Journal of Economic Literature and Co-Chair of the Health Care Delivery Initiative of Abdul Latif Jameel Poverty Action Lab at MIT. She is co-recipient of the 2019 Arrow Award for Best Paper in Health Economics\, the 2021 William G. Manning Memorial Award for the Best Research in Health Econometrics\, recipient of a MacArthur Fellowship and was elected into the National Academy of Medicine in 2022. She co-directs the Health Inequality Lab at Harvard Kennedy School of Government.
URL:https://healtheconomics.org/event/culture-and-health/
LOCATION:Zoom
CATEGORIES:IHEA Event
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DTSTART;TZID=UTC:20260428T140000
DTEND;TZID=UTC:20260428T150000
DTSTAMP:20260409T083045
CREATED:20260402T152906Z
LAST-MODIFIED:20260407T180713Z
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SUMMARY:A new approach to comparing EQ-5D-5L value sets: What really makes a difference to people?
DESCRIPTION:Add to Calendar! \nBackground\nEQ-5D-5L value sets play a vital role worldwide in health technology assessment and measuring population health. However\, it is difficult to compare the impact of using different value sets\, for example if an older value set is replaced by a new one\, or if two or more value sets are available. \nObjectives\n1) Reformulating the standard EQ-5D-5L health-state utility model in terms of meaningful\, interpretable parameters: range of utility from best to worst state\, relative importance of each dimension\, and decrements associated with levels 2-4 as a fraction of the level 5 decrement;\n2) Providing formulae for the marginal effects of the reformulated model’s parameters on utilities;\n3) Empirically estimating marginal effects for several value sets and patient groups. \nData and Methods\nThe 2017/8 Health Surveys for England collected EQ-5D-5L responses from around 13\,000 people. Participants with a long-term condition were divided into patient groups according to how the condition affected them (vision/mobility/mental health/etc.). Participants with long-lasting pain were divided into groups of varying severity using the Chronic Pain Grade Scale (CPGS). The marginal effects of parameters from 48 EQ-5D-5L value sets were calculated for each patient group. In countries with multiple value sets available\, differences in parameters were compared to differences in mean utility. \nResults\nParameters representing value set range had consistently large marginal effects across value sets and patient groups. Increased importance of self-care relative to other dimensions always increased utility\, though with variable effect sizes. The direction and magnitude of the marginal effects of other dimensions’ relative importance varied across value sets and patient groups. The magnitude of all parameters’ marginal effects increased with condition severity.\nIn within-country comparisons the magnitudes of parameter differences were related to utility differences\, with the smallest and largest differences for both seen when comparing the Japanese and Peruvian value sets respectively. Utility differences were increasing in disease severity: the utility of people with the worst chronic pain level differed by 0.425 depending on which Peruvian value set was used. \nConclusion\nThis study presents innovative methods for comparing EQ-5D-5L value sets and assessing what aspects have the biggest impact on patient utilities. Value set range was a major driver of utility differences\, and people with more severe conditions were most likely to be impacted by using alternative value sets. \nSpeaker: \nEd Webb is an associate professor at the Academic Unit of Health Economics\, University of Leeds. He studies preferences and decision-making in a wide variety of contexts and using a range of methods. His other research interests include the measurement and valuation of health\, as well as interactions between health\, work and wellbeing.
URL:https://healtheconomics.org/event/a-new-approach-to-comparing-eq-5d-5l-value-sets-what-really-makes-a-difference-to-people/
LOCATION:Zoom
CATEGORIES:IHEA Event
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260528T080000
DTEND;TZID=UTC:20260528T090000
DTSTAMP:20260409T083045
CREATED:20260325T193218Z
LAST-MODIFIED:20260325T193218Z
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SUMMARY:Biobanks and Genomics in Low- and Middle-Income Countries: Emerging Opportunities for Research and Health Economics Webinar & Panel Discussion
DESCRIPTION:Add to Calendar! \nThis panel discussion will feature short presentations from Professor Segun Fatumo (Chair of Genomic Diversity at Queen Mary University of London and Head of Non-Communicable Disease Genomics at the MRC Uganda Research Unit) and Professor Zhu Chen (College of Economics and Management\, China Agricultural University\, Beijing). The speakers will highlight emerging opportunities in biobanks and genomics\, particularly in low- and middle-income country (LMIC) settings. The panel discussion will then explore how biobank and genomic platforms and data can be leveraged to inform health economic analysis and policy decision-making in LMICs\, followed by an open discussion and concluding remarks. \nModerator: Professor Zanfina Ademi\, Monash University \nPresentation 1:\nName: Professor Segun Fatumo\nRole & organization: Chair of Genomic Diversity at Queen Mary University of London and Head of Non-Communicable Disease Genomics at the MRC Uganda Research Unit\nBio: Professor Segun Fatumo is a globally recognised genomic epidemiologist advancing equitable human genomics research. He is Professor and Chair of Genomic Diversity at Queen Mary University of London and Head of Non-Communicable Disease Genomics at the MRC Uganda Research Unit. His work focuses on genetic determinants of cardiometabolic disease and kidney disease in diverse ancestry populations. He leads major initiatives including KidneyGenAfrica\, BCX-Africa and the Nigerian 100K Genome Project\, supported by international funders such as the MRC\, NIH and Wellcome Trust. Professor Fatumo is widely published\, serves on global advisory boards\, contributes to genomics policy and capacity building in Africa\, and is a frequent keynote speaker and media commentator\nAbstract: The Uganda Genome Resource (UGR) is a well-characterized genomic biobank derived from the long-standing Uganda General Population Cohort\, comprising genotype data (~5\,000 individuals) and whole-genome sequencing (~2\,000 individuals) across 10 ethno-linguistic groups. With rich phenotypic data spanning communicable and non-communicable diseases\, UGR provides a unique platform for advancing genomics\, multi-omics integration\, and precision medicine in African populations. It enables discovery of population-specific variants\, improved disease risk prediction\, and deeper biological insights across diverse ancestries. These opportunities position UGR as a critical resource not only for scientific discovery but also for generating evidence to inform cost-effective health economic strategies and policy decisions in LMICs. \nPresentation 2:\nName: Professor Chen Zhu\nRole & organization: College of Economics and Management\, China Agricultural University\, Beijing\nBio: Chen Zhu is a Professor at the College of Economics and Management\, China Agricultural University. She received her Ph.D. in Agricultural and Resource Economics from the University of Connecticut and her B.S. in Biology from Nanjing University. She currently serves as an Associate Editor for Agribusiness and an Editorial Board Member of Scientific Reports. Dr. Zhu has published more than 50 peer-reviewed articles in economics\, public health\, and interdisciplinary journals. Her research focuses on genoeconomics\, integrating genetic and socioeconomic data to better understand human capital formation\, health behaviors\, and economic decision-making\, with particular interest in applications to rural development and health policy in China. Website: https://zhuchencau.wordpress.com/cv/\nAbstract: This talk introduces a pilot Human Capital and Genoeconomics Survey conducted among rural households in China since 2019. The survey combines rich socioeconomic information\, including human capital\, health behaviors\, fertility\, and household decision-making\, with individual genetic data for about 800 participants in rural China. Using this dataset\, she will explore how genomic variation interacts with environmental conditions\, nutrition\, and local economic contexts to shape health and socioeconomic outcomes. She will argue that small- and medium-scale genomic surveys linked to detailed socioeconomic data can complement large biobanks\, offering a practical framework for advancing genoeconomics research and informing health and development policy in low- and middle-income country settings.
URL:https://healtheconomics.org/event/biobanks-and-genomics-in-low-and-middle-income-countries-emerging-opportunities-for-research-and-health-economics-webinar-panel-discussion/
LOCATION:Zoom
CATEGORIES:IHEA Event
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DTSTART;VALUE=DATE:20260606
DTEND;VALUE=DATE:20260612
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CREATED:20251116T003732Z
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SUMMARY:ASHEcon 2026 Annual Conference
DESCRIPTION:
URL:https://healtheconomics.org/event/ashecon-2026-annual-conference/
CATEGORIES:External Event
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