Background The COVID-19 pandemic has resulted in negative impacts on the economy, population health, and health-related quality-of-life (HRQoL). Objective To assess the impact of COVID-19 on US population HRQoL using the EQ-5D-5L. Design We surveyed respondents on physical and mental health, demographics, socioeconomics, brief medical history, current COVID-19 status, sleep, dietary, financial, and spending changes. Results were compared to online and face-to-face US population norms. Predictors of EQ-5D-5L utility were analyzed using both standard and post-lasso OLS regressions. Robustness of regression coefficients against unmeasured confounding was analyzed using the E-Value sensitivity analysis. Subjects Amazon MTurk workers ( n =2776) in the USA. Main Measures EQ-5D-5L utility and VAS scores by age group. Key Results We received n =2746 responses. Subjects 18–24 years reported lower mean (SD) health utility (0.752 (0.281)) compared with both online (0.844 (0.184), p =0.001) and face-to-face norms (0.919 (0.127), p <0.001). Among ages 25–34, utility was worse compared to face-to-face norms only (0.825 (0.235) vs. 0.911 (0.111), p <0.001). For ages 35–64, utility was better during pandemic compared to online norms (0.845 (0.195) vs. 0.794 (0.247), p <0.001). At age 65+, utility values (0.827 (0.213)) were similar across all samples. VAS scores were worse for all age groups ( p <0.005) except ages 45–54. Increasing age and income were correlated with increased utility, while being Asian, American Indian or Alaska Native, Hispanic, married, living alone, having history of chronic illness or self-reported depression, experiencing COVID-19-like symptoms, having a family member diagnosed with COVID-19, fear of COVID-19, being underweight, and living in California were associated with worse utility scores. Results were robust to unmeasured confounding. Conclusions HRQoL decreased during the pandemic compared to US population norms, especially for ages 18–24. The mental health impact of COVID-19 is significant and falls primarily on younger adults whose health outcomes may have been overlooked based on policy initiatives to date. Supplementary Information The online version contains supplementary material available at 10.1007/s11606-021-06674-z.

Compared with glimepiride, dapagliflozin as monotherapy for T2DM is a more cost-effective treatment for T2DM patients on monotherapy in China. The weight control has been identified as the major contributor for the higher cost-effectiveness of dapagliflozin.

Policymakers have expanded readmissions penalty programs to include elective arthroplasties, but little is known about the risk factors for readmissions following these procedures. We hypothesized that infections after total hip arthroplasty (THA) and total knee arthroplasty (TKA) lead to excess readmissions and increased costs. This study aims to evaluate the proportion of readmissions due to infections following THA and TKA.Healthcare Cost and Utilization Project–State Inpatient Databases were used for the study. Procedure codes “8151” and “8154” were used to identify inpatient discharges with THA and TKA in Florida (FL) 2009 to 2013, Massachusetts (MA) 2010 to 2012, and California (CA) 2009 to 2011. Readmission was measured by a Centers for Medicare and Medicaid Services (CMS) validated algorithm. Infections were identified by ICD-9-CM codes: 99859, 99666, 6826, 0389, 486, 4821, 00845, 5990, 48242, 04111, 04112, 04119, 0417, 99591, and 99592. Descriptive analysis was performed.In CA, 4.29% of patients were readmitted with 33.02% of the total readmissions for infection. In FL, 4.7% of patients were readmitted with 33.39% of the readmissions for infection. In MA, 3.92% of patients were readmitted with 35.2% of readmissions for infection. Of the total number of readmissions due to infection, methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-susceptible Staphylococcus aureus (MSSA) together accounted for 14.88% in CA, 13.38% in FL, and 13.11% in MA.The rate of infection is similar across all 3 states and is a leading cause for readmission following THA and TKA. Programs to reduce the likelihood of MRSA or MSSA infection would reduce readmissions due to infection.

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