nd T and upon observation under the microscope, typical pear-shaped swellings were observed in slides prepared from newly obtained pure cultures from LF and T. Dematophora bunodes (formerly Rosellinia bunnodes) has a worldwide distribution and is well known as a polyphagous plant pathogen (Farr and Rossman, 2020) but has never been reported as a pathogen either of LF or T before in Brazil and worldwide. Its report on LF and T further expands an already large host-range and resolves the etiology of the disease on LF and T.Surprise medical bills occur when a patient unexpectedly or involuntarily receives care from an out-of-network provider and is billed for the amount not covered by insurance. Past studies were unable to observe whether bills for such care were sent to patients and, if so, how much patients paid directly to out-of-network providers. We used data from the Medical Expenditure Panel Survey to measure how much privately insured emergency patients paid when they likely received a surprise bill and how much physicians received in these situations. Physicians collected 65 percent of the charged amount for likely surprise bills compared with 52 percent for other cases. Patients who likely received a surprise out-of-network bill for emergency care paid physicians more than ten times as much as other emergency patients paid, on average.Individuals involved with the US criminal justice system have high rates of opioid use disorder (OUD) but face significant barriers to evidence-based treatment. Using 2008-17 data from the Treatment Episode Data Set-Admissions, we examined trends in receipt of medications for OUD among individuals referred by criminal justice agencies and other sources both before and after Medicaid expansion. Individuals referred by criminal justice agencies were less likely to receive medications for OUD than were those referred by other sources during our study period, although this disparity narrowed slightly after Medicaid expansion. Receipt of medications for OUD increased more for individuals referred by criminal justice agencies in states that expanded Medicaid compared with those in states that did not. Z-YVAD-FMK ic50 Medicaid expansion may improve evidence-based treatment for individuals with criminal justice involvement and OUD, although additional policy change outside the health care sector is likely needed to reduce persistent treatment disparities.Many physicians receive payments from medical device companies that make products physicians can use or recommend. Such payments are controversial because of concerns that they might influence physicians to treat patients with devices made by the firms that make those payments, even if those devices are not optimal for patients. This issue has been studied extensively in the drug industry. Medical devices entail a greater degree of physician-industry interaction regarding treatment, training, and innovation than pharmaceuticals, and they have been less studied because of data limitations. We summarize and compare device and drug firm payment rates and magnitudes reported in Open Payments data by payment type, physician specialty, and Medicare billing amount. Relative to drug firm payments, device firm payments as a percentage of industry revenue were seven times as large; device firm payments were also more often related to product development and training and were more strongly correlated with physicians' Medicare billing amounts. Using Food and Drug Administration product approval data, we further document that top-paying firms dominate high-revenue device categories. Our results suggest that optimal policy regarding physician-industry relationships for medical devices may be very different from that for pharmaceuticals. Estimating the causal relationships between payments and device use, pricing, and innovation to inform policy makers will be possible only with greater data transparency, such as including device identifiers in medical claims.Use of direct-to-consumer telemedicine-on-demand virtual care for minor medical issues-is growing rapidly. Although it may yield immediate savings by diverting health care from higher-cost settings, these savings could be countered if direct-to-consumer telemedicine increases follow-up care and, therefore, episode costs. Comparing downstream care utilization data from a large, commercial payer for the period 2016-19, we found that patients with initial visits for acute respiratory infection were more likely to obtain follow-up care within seven days after direct-to-consumer telemedicine visits (10.3 percent) than after in-person visits (5.9 percent). In both settings approximately 90 percent of patients did not obtain additional care. The telemedicine cohort had fewer (0.5 percent versus 0.6 percent) emergency department visits-a small but statistically significant difference-but more subsequent office, urgent care, and telemedicine visits. Our findings suggest that potential savings from shifting initial care to a direct-to-consumer telemedicine setting should be balanced against the potential for higher spending on downstream care.This study assessed the impact of individual social risk factor variables and social determinants of health (SDOH) measures on hospital readmission rates and penalties used in the Centers for Medicare and Medicaid Services (CMS) Hospital Readmissions Reduction Program (HRRP). Using 2012-16 hospital discharge data from New York City, we projected HRRP penalties by augmenting CMS's readmission model for heart attack, heart failure, and pneumonia with SDOH scores constructed at each of four geographic levels and a measure of individual-level social risk. Including additional SDOH scores in the model, especially those constructed with the most granular geographic data, along with social risk factor variables substantially affects projected penalties for hospitals treating the highest proportion of patients with high SDOH scores. Improved performance occurred even after we included peer-group stratification in the HRRP model pursuant to the 21st Century Cures Act. Small improvements in model accuracy were associated with substantial shifts in projected performance.