Effects of state reinsurance programs on health insurance exchange premiums and insurer participation

Objective

The aim of the study was to estimate the effect of the state-based reinsurance programs through the section 1332 State Innovation Waivers on health insurance marketplace premiums and insurer participation.

Data Source

2015 to 2022 Robert Wood Johnson Foundation Health Insurance Exchange Compare Datasets.

Study Design

An event study difference-in-differences (DD) model separately for each year of implementation and a synthetic control method (SCM) are used to estimate year-by-year effects following program implementation.

Data Collection/Extraction Methods

Not applicable.

Principal Findings

Reinsurance programs were associated with a decline in premiums in the first year of implementation by 10%–13%, 5%–19%, and 11%–17% for bronze, silver, and gold plans (p < 0.05). There is a trend of sustained declines especially for states that implemented their programs in 2019 and 2020. The SCM analyses suggest some effect heterogeneity across states but also premium declines across most states. There is no evidence that reinsurance programs affected insurer participation.

Conclusion

State-based reinsurance programs have the potential to improve the affordability of health insurance coverage. However, reinsurance programs do not appear to have had an effect on insurer participation, highlighting the need for policy makers to consider complementary strategies to encourage insurer participation.     

Out of the boxes,out of the silos: The need of interdisciplinary collaboration to reduce poor-quality medical products in the supply chain

In this paper, we argue that understanding and addressing the problem of poor-quality medical products requires a more interdisciplinary approach than has been evident to date. While prospective studies based on rigorous standardized methodologies are the gold standard for measuring the prevalence of poor-quality medical products and understanding their distribution nationally and internationally, they should be complemented by social science research to unpack the complex set of social, economic, and governance factors that underlie these patterns. In the following sections, we discuss specific examples of prospective quality surveys and of social science studies, highlighting the value of cross-sector partnerships in driving high-quality, policy-relevant research in this area.     

Why We Need Continuous Pharmaceutical Manufacturing and How to Make It Happen

We make the case for why continuous pharmaceutical manufacturing is essential, what the barriers are, and how to overcome them. To overcome them, government action is needed in terms of tax incentives or regulatory incentives that affect time.     

Safety profile of the adjuvanted recombinant zoster vaccine: Pooled analysis of two large randomised phase 3 trials

Background

The ZOE-50 (NCT01165177) and ZOE-70 (NCT01165229) phase 3 clinical trials showed that the adjuvanted recombinant zoster vaccine (RZV) was ≥90% efficacious in preventing herpes zoster in adults. Here we present a comprehensive overview of the safety data from these studies.

m6A结合蛋白IGF2BP1在肝细胞癌中的基因调控网络分析

目的 分析m6A阅读器胰岛素样生长因子2-mRNA结合蛋白1（insulin-like growth factor 2 mRNA-binding protein 1，IGF2BP1）在肝细胞癌（hepatocellular carcinoma，HCC）中的表达水平及其对HCC患者预后的影响，并探讨IGF2BP1在HCC发生发展中的作用及其潜在机制。方法 基于5对HCC癌及相应癌旁组织mRNA-seq数据和TCGA数据库LIHC的mRNA-seq数据综合分析IGF2BP1在HCC中的表达情况，同时利用TCGA数据库中343例HCC患者的临床随访资料分析IGF2BP1表达水平对HCC患者总生存期的影响。基于TCGA数据库筛选IGF2BP1的共表达mRNA，并利用m6Avar在线网站预测mRNA的m6A位点及其RNA结合蛋白等信息，最终构建IGF2BP1的基因调控网络。结果 IGF2BP1基因在HCC中表达上调（log2FC HCC转录组数据=10.684，P<0.001；log2FC TCGA-LIHC数据集=7.032，P<0.001）。生存分析显示IGF2BP1低表达的HCC患者中位生存时间为5.84年，IGF2BP1高表达患者为4.44年，高表达患者总生存期缩短（P=0.011）。22个差异表达的mRNA与IGF2BP1存在靶向结合关系，并与其表达水平呈正相关。其中，HMGA2等15个高表达mRNA的HCC患者总生存期缩短。HMGA2、PEG10、CEP55、RHO、CDC6和KIF23基因中的潜在m6A甲基化位点位于mRNA 3'UTR端的miRNA结合区域。结论 IGF2BP1在HCC中高表达且导致患者总生存期缩短。IGF2BP1可能通过m6A甲基化及miRNA抑制作用的方式上调mRNA的表达，促进HCC发生并导致不良预后。     

English obesity policies: To govern and not to govern

Problem definitions constitute a crucial part of the policy process. In 2008 the Labour Government presented a plan to reduce the obesity prevalence in England. Only three years later the Conservative–Liberal Government introduced a plan on the same topic, which it presented as new and innovative. The aim of this study is to analyse the respective governments’ problematisations of obesity and to identify similarities and differences. Despite the different hues of the two governments, the programmes are surprisingly similar. They seek to simultaneously govern and not to govern. They adhere to liberal ideals of individual choice and they also suggest initiatives that will lead people to choose certain behaviours. Both governments encourage the food and drink industry to support their policies voluntarily, rather than obliging them to do so, although Labour is somewhat more inclined to use statutory measures. The Conservative–Liberal plan does not represent many new ideas. The plans are characterised by the paradox that they convey both ideas and ideals about freedom of choice as well as about state interventions to influence people's choices, which could be seen as incompatible, but as the study shows in practice they are not.     

Association between de novo lipogenesis susceptibility genes and coronary artery disease

Background and aimsCoronary artery disease (CAD) is the principal cause of death in individuals with non-alcoholic fatty liver disease (NAFLD). The aim of this study was to use genetic epidemiology to study the association between de novo lipogenesis (DNL), one of the major pathways leading to NAFLD, and CAD risk.Methods and resultsDNL susceptibility genes were used as instruments and selected using three approaches: 1) genes that are associated with both high serum triglycerides and low sex hormone-binding globulin, both downstream consequences of DNL (unbiased approach), 2) genes that have a known role in DNL (biased approach), and 3) genes that have been associated with serum fatty acids, used as a proxy of DNL. Gene-CAD effect estimates were retrieved from the meta-analysis of CARDIoGRAM and the UK Biobank (～76014 cases and ～264785 controls). Effect estimates were clustered using a fixed-effects meta-analysis. Twenty-two DNL susceptibility genes were identified by the unbiased approach, nine genes by the biased approach and seven genes were associated with plasma fatty acids. Clustering of genes selected in the unbiased and biased approach showed a statistically significant association with CAD (OR:1.016, 95%CI:1.012; 1.020 and OR:1.013, 95%CI:1.007; 1.020, respectively), while clustering of fatty acid genes did not (OR:1.004, 95%CI:0.996–1.011). Subsequent exclusion of potential influential outliers did reveal a statistically significant association (OR:1.009, 95%CI:1.000; 1.018).ConclusionsDNL susceptibility genes are associated with an increased risk of CAD. These findings suggest that DNL may be involved in the pathogenesis of CAD and favor further development of strategies that target NAFLD through DNL.