We investigate whether weak executive federalism was beneficial or damaging for COVID-19 management in the USA. We formulate a policy response model for subnational governments, considering the national government’s preferred policy, in addition to other factors, with incomplete and with complete information. The hypotheses derived are tested using econometric techniques. Our results suggest that ideological and political biases were more influential in a situation of incomplete information than in one of complete information. As such, weak executive federalism allowed more agile policy responses in Democrat-led states when information was incomplete, thus reducing the rates of incidence and mortality. When information was complete, ideological and political biases were found to be of no relevance at all.

Background: This study investigates the possible role of cultural biases in clinical variation. Methods: An observational, analytical, and retrospective cohort design, using a Spanish primary care database, was used, on which a cross-sectional analysis was performed. Diseases were classified into the following: generic conditions with established protocols (control group), specialist-diagnosed diseases, women’s diseases, and psychiatric diseases. Diagnostic incidence was calculated across 25 geographical clusters, and variability was measured using the coefficient of variation (CV). To test systematic differences, multivariate linear regression models were adjusted for socio-demographics and healthcare system proxies. Results: The final sample for analysis consisted of 617,222 women aged 15 to 65, with a mean age of 43. The results did not reveal significant variability between generic and specialized diseases, but women’s and psychiatric diseases showed consistently higher CVs in all models (p < 0.05), indicating that approximately 20% to 30% of the clinical variation observed in these groups was unexplained. Conclusions: Although we cannot establish causality, these findings may suggest that cultural taboos and gender biases likely contribute to unjustified clinical variation, highlighting cultural bias as a plausible explanatory factor.

Percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) are the main interventional treatments for coronary artery disease (CAD) patients. Both procedures are constantly being perfected and developed. This study aims to analyze the evolution of intervention mortality rates of PCI and CABG in recent years in Spain. We use a database of all hospital discharges from CABG and PCI procedures in Spain during two periods, between the years 2010 to 2012 and 2016 to 2019. We elaborate two multivariate regression logistic models to test the differences in mortality between the two periods and the two procedures, adjusting the mortality rates by age, gender, and comorbidities. We find strong evidence that CABG significantly reduced mortality rates, especially in complex patients, while PCI remained almost constant. We also discuss how physicians incorporate the improvement in procedures’ performance into the decision-making for the recommendation of these two procedures in CAD patient management.