Health economicsPub Date : 2026-10-02Epub Date: 2026-08-01DOI: 10.1002/hec.70134
Jinhyun Kim
{"title":"How Much Does It Cost the South Korean Public Healthcare System to Produce One Healthy Life Year?","authors":"Jinhyun Kim","doi":"10.1002/hec.70134","DOIUrl":"10.1002/hec.70134","url":null,"abstract":"<div>\u0000 \u0000 <p>Investigating the impact of healthcare expenditure on health is crucial for optimizing public resource allocation. This can inform the value of expanding healthcare budgets and provide a benchmark for allocations within healthcare systems. However, empirical evidence remains mixed. The potential causes of mixed results—reverse causality and unobservable confounders—need to be addressed through robust empirical methods. This study assesses the South Korean public healthcare cost of producing one quality-adjusted life year (QALY) by using conversion factors—elements in the pricing formula of healthcare services determined by negotiations—as the instrument, with two-way fixed effects. Moreover, since morbidity significantly affects health, it is crucial to estimate the impact of healthcare expenditure on morbidity using credible data. We use a unique dataset of directly measured regional EQ-5D indices from 240 municipalities for the period 2008–2019, which is unavailable in other countries. We estimate that $12,847 of public healthcare expenditure is required to gain one QALY. Sensitivity analyses using alternative calculation methods, data, and models produce estimates ranging from $8850 to $17,674 per QALY. Our findings suggest that the healthcare cost of producing one QALY is substantially lower than the GDP per capita and the willingness-to-pay for health in South Korea.</p>\u0000 </div>","PeriodicalId":12847,"journal":{"name":"Health economics","volume":"35 11","pages":"1678-1692"},"PeriodicalIF":2.0,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148653526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health economicsPub Date : 2026-10-02Epub Date: 2026-08-08DOI: 10.1002/hec.70140
Panos Kasteridis, Luigi Siciliani, Peter Sivey
{"title":"Waiting Time Prioritisation for Public and Private Providers: Evidence From Hip Replacement Surgery","authors":"Panos Kasteridis, Luigi Siciliani, Peter Sivey","doi":"10.1002/hec.70140","DOIUrl":"10.1002/hec.70140","url":null,"abstract":"<p>Waiting times for planned health care treatments have been increasing in England and other OECD countries. One policy to reduce the impact of waiting times on patients' health is for doctors to prioritise patients according to their health status. This study tests the extent to which publicly-funded patients in poorer health are prioritised on the list, and whether prioritisation differs between public and private providers. We use hospital administrative data in 2015–2021 on hip replacements in England. Our results provide evidence of inpatient waiting-time prioritisation (from specialist addition to list to admission for surgery) based on pre-operative health with a difference of at least 15 days between patients with lowest and highest pre-operative health. The gradient becomes steeper as waiting times increase, and much steeper during COVID-19. While outpatient waiting times (from referral to specialist visit) comprise a substantial proportion of total time waited (inpatient plus outpatient), we find limited evidence of outpatient waiting time prioritisation. Differences in inpatient waiting-time prioritisation between public and private providers are mostly due to different casemix and shorter average waiting times by private providers. We also simulate the effect of prioritisation policies that reduce inpatient waiting times for patients with low pre-operative health by 20% while simultaneously increasing it for those with high pre-operative health. We find that these policies could generate health gains of 183 QALYs in a given year. We conclude that there is scope for improving prioritisation of patients on the waiting list.</p>","PeriodicalId":12847,"journal":{"name":"Health economics","volume":"35 11","pages":"1744-1763"},"PeriodicalIF":2.0,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hec.70140","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148697361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jonas Esser, Mateus Maia, Judith E Bosmans, Johanna Maria van Dongen
{"title":"Nonparametric Regression for Cost-Effectiveness Analyses With Observational Data-A Tutorial.","authors":"Jonas Esser, Mateus Maia, Judith E Bosmans, Johanna Maria van Dongen","doi":"10.1002/hec.70153","DOIUrl":"https://doi.org/10.1002/hec.70153","url":null,"abstract":"<p><p>Healthcare decision-making often requires selecting among multiple treatment options under budget constraints, particularly when one option is more effective but also more costly. Cost-effectiveness analysis (CEA) provides a framework for evaluating whether the health benefits of a treatment justify its additional costs. A key component of a CEA is the estimation of treatment effects on both health outcomes and costs, which becomes challenging when using observational data, due to potential confounding. While advanced causal inference methods exist for use in such circumstances, their adoption in CEAs remains limited, with many studies relying on overly simplistic methods such as linear regression or propensity score matching. In this paper, we address this gap by introducing cost-effectiveness researchers to modern nonparametric regression models, with a particular focus on Bayesian Additive Regression Trees (BART). We provide guidance on how to implement BART in CEAs, including code examples, and discuss its advantages in producing more robust and credible estimates from observational data.</p>","PeriodicalId":12847,"journal":{"name":"Health economics","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149108865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Birth Order Effects in Maternal Health-Seeking Behavior: Evidence From India.","authors":"Abhishek Dureja, Digvijay Singh Negi","doi":"10.1002/hec.70154","DOIUrl":"https://doi.org/10.1002/hec.70154","url":null,"abstract":"<p><p>Can maternal health-seeking behavior change with subsequent births? Using two rounds of India's National Family Health Survey and within-mother comparisons, we document a decline in institutional delivery, skilled attendance, and antenatal care after the first birth. We distinguish between learning about individual-specific risk, learning about average childbirth risk through experience and information, and efficient response to biomedical differences across children at different birth orders as potential reasons behind the birth order gradient. The gradient is attenuated among mothers with adverse early birth experiences and among those informed about complications during antenatal care, consistent with belief updating. However, it cannot be fully explained by differences in biomedical risk. Exploiting plausibly exogenous improvements in road connectivity and financial access, we show that credit and supply constraints can amplify the gradient, and improved infrastructure attenuates it.</p>","PeriodicalId":12847,"journal":{"name":"Health economics","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149069428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pursuing Affordability, Fairness, and Efficiency in the U.S. Commercial Health Insurance Market.","authors":"Minjeong Kang, Bryan E Dowd","doi":"10.1002/hec.70151","DOIUrl":"https://doi.org/10.1002/hec.70151","url":null,"abstract":"<p><p>The high cost of health insurance and health care services in the US is affecting not only the uninsured and lower income households, but is beginning to reach into the middle class. Current health insurance benefit designs often fail to address two forms of market failure: poor consumer information and distorted prices. These market failures distort the market for health care services, and contribute to unaffordable health insurance. When combined with the pooling function of health insurance, those sources of market failure also result in income redistributions that arguably are unfair. Using data from the 2019-2022 Medical Expenditure Panel Survey, we provide a detailed analysis of the population experiencing affordability problems. We then explain how existing health insurance benefit designs fail to address those sources of market failure. Finally, we describe a novel benefit design that improves information by telling consumers where to find providers with lower total cost of care and reduces price distortions by sharing the savings with consumers who choose lower cost providers. These steps improve the efficiency of the health care services market and reduce interpersonal subsidies of consumers who prefer higher cost providers.</p>","PeriodicalId":12847,"journal":{"name":"Health economics","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149060315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Importance of Treatment Adherence and Long-Term Outcomes in Health Economic Impact Evaluations.","authors":"Manon Pigeolet","doi":"10.1002/hec.70152","DOIUrl":"https://doi.org/10.1002/hec.70152","url":null,"abstract":"<p><p>Wydick et al. recently estimated the impact of Ponseti clubfoot treatment on human flourishing in Ethiopia, providing important evidence for scaling clubfoot programs in low- and middle-income countries. However, their definition of \"treated\" warrants scrutiny. Considering children in the final stages of casting as treated, only captures outcomes during the early stage of a 4-year treatment course, implicitly assuming full bracing adherence and no relapse. This is inconsistent with relapse rates of 30%-40% and two-year discontinuation rates exceeding 50% in comparable settings. This choice of definition likely underestimates late-initiated treatment impact and overestimates early-initiated treatment impact. Modeling the clubfoot care pathway as a probabilistic value model incorporating dropout, non-adherence, and relapse, I re-estimate population-level functional outcomes at mid-childhood. In settings without additional surgical care availability the mean level of functionality is estimated at 55.2% of normal function (95% CI 54.6%-55.9%), showing that enrollment expansion alone cannot achieve impact at the scale implied. Achieving clubfoot treatment's full potential at scale requires comprehensive, longitudinal care beyond initial Ponseti treatment, and stronger collaboration between clinical and health-economics communities to ground future estimates in clinical reality.</p>","PeriodicalId":12847,"journal":{"name":"Health economics","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148955809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health economicsPub Date : 2026-09-01Epub Date: 2026-07-19DOI: 10.1002/hec.70135
Francesca Cornaglia, Alessandro Iaria, Eugenio Felipe Merlano, John R. Prowle
{"title":"Patient Information and Surgery Decisions: A Discrete Choice Experiment","authors":"Francesca Cornaglia, Alessandro Iaria, Eugenio Felipe Merlano, John R. Prowle","doi":"10.1002/hec.70135","DOIUrl":"10.1002/hec.70135","url":null,"abstract":"<p>Surgical treatments are offered more widely than ever before, increasingly to older and high-risk patients. However, it is unclear whether patients making surgical decisions are fully informed about the risks of surgery and the available non-surgical treatments. Especially for high-risk patients, unrecognized elevated post-surgery risks may make non-surgical treatments particularly relevant. In this paper, we study the role of information provision and the availability of non-surgical treatments for high-risk patients considering hip replacement surgery in the UK. We develop a discrete choice model of incorrect beliefs about post-surgery outcomes and limited availability of non-surgical treatments, which we estimate using an online choice experiment. In the experiment, participants take the perspective of a hypothetical high-risk patient; we elicit their beliefs about post-surgery outcomes and randomize additional information about these outcomes and the availability of physiotherapy. We find that beliefs differ systematically from predicted post-surgery outcomes and that the provision of additional information has heterogeneous effects on belief accuracy. We show that excluding physiotherapy from the available treatments accounts for four-fifths of the participants' total welfare loss, while incorrect beliefs about post-surgery outcomes account for the remainder. We find evidence that education is a strong predictor of welfare loss from incorrect beliefs.</p>","PeriodicalId":12847,"journal":{"name":"Health economics","volume":"35 10","pages":"1571-1596"},"PeriodicalIF":2.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hec.70135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148520181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health economicsPub Date : 2026-09-01Epub Date: 2026-07-16DOI: 10.1002/hec.70133
Joan Costa-Font, Wanying Wang
{"title":"Caring Flexibly? Working Conditions and the Supply of Adult Care","authors":"Joan Costa-Font, Wanying Wang","doi":"10.1002/hec.70133","DOIUrl":"10.1002/hec.70133","url":null,"abstract":"<p>Although flexible employment policies can help employed individuals balance caregiving and paid work, limited evidence has been devoted to examining the effect of working flexibly on the supply of care to older adults. In this paper, we study the impact of flexible working conditions on the supply of informal adult care and mental health. We exploit variation from the 2014 expansion of the <i>Right to Request Flexible Work</i> (RRFW) to employees in the UK. Our findings point to a gendered response to increased employment flexibility. We document a 1.3-percentage-point increase in the likelihood that men provide informal care within the household, alongside less regular daytime work, greater control over working hours, and higher engagement in home production. In contrast, among potential female caregivers, we find that the reform reduced the probability of high-intensity caregiving, which is typically incompatible with employment or related activities. We document that the increased workplace flexibility not only encourages caregiving but also helps reduce gender disparities in unpaid care. We additionally find suggestive evidence of improved mental health outcomes, particularly among men.</p>","PeriodicalId":12847,"journal":{"name":"Health economics","volume":"35 10","pages":"1548-1570"},"PeriodicalIF":2.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hec.70133","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148470227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health economicsPub Date : 2026-09-01Epub Date: 2026-06-28DOI: 10.1002/hec.70124
Yao Tang, Weiyi Shi, Lin Zhang, Qing Huang, Huanguang Qiu
{"title":"Health on the Move: The Impact of Poverty Alleviation Relocation on Healthcare Utilization in China","authors":"Yao Tang, Weiyi Shi, Lin Zhang, Qing Huang, Huanguang Qiu","doi":"10.1002/hec.70124","DOIUrl":"10.1002/hec.70124","url":null,"abstract":"<div>\u0000 \u0000 <p>Limited utilization of healthcare services remains a persistent challenge for poor populations in many countries. This study examines the impact of China's Poverty Alleviation Relocation Program (PARP) on healthcare utilization, utilizing panel data from rural households in 16 counties across eight provinces. Employing a difference-in-differences (DID) framework, we find that relocation leads to a 24.6% increase in clinic visits and a 36.9% increase in hospital visits per household, helping prevent minor illnesses from escalating. Despite higher utilization, relocation does not significantly raise total medical expenditure, out-of-pocket medical costs, or reimbursement levels, due to reduced per-visit costs. Mechanism analysis suggests that relocation improves access to healthcare facilities and boosts household income. Our findings highlight the critical role of combining housing mobility with healthcare system improvements to promote healthcare equity, offering important insights for the design of poverty alleviation strategies in other developing country contexts where access to healthcare remains a critical constraint.</p>\u0000 </div>","PeriodicalId":12847,"journal":{"name":"Health economics","volume":"35 10","pages":"1435-1449"},"PeriodicalIF":2.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148345172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health economicsPub Date : 2026-09-01Epub Date: 2026-07-14DOI: 10.1002/hec.70131
Minsung Park, Youngju Lee, Nobuhiko Nakazawa
{"title":"Unintended Consequences of Installing Platform Screen Doors: Displacement and Substitution for Suicide Attempts","authors":"Minsung Park, Youngju Lee, Nobuhiko Nakazawa","doi":"10.1002/hec.70131","DOIUrl":"10.1002/hec.70131","url":null,"abstract":"<div>\u0000 \u0000 <p>This research investigates the displacement and substitution effects of installing physical barriers in metro stations for suicide prevention. Although physical barriers are considered effective at reducing suicides at a given metro station, it remains unexplored whether their installation actually decreases suicide attempts at the macro level. Exploiting the timing of the installation and using platform-level novel data on suicide attempts, we find new evidence showing that installing physical barriers at metro stations causes (1) displacement to other lines without barriers in the same station, (2) displacement to other single-line stations, and (3) substitution to other suicide methods.</p>\u0000 </div>","PeriodicalId":12847,"journal":{"name":"Health economics","volume":"35 10","pages":"1532-1547"},"PeriodicalIF":2.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148445730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}