Aim:The economic burden of schizophrenia in the United States (US) was estimated at $155.7 billion in 2013. Since 2013, the US experienced significant health care reforms and treatment advances. This study analyzed recent data and literature to update the US economic burden estimate for schizophrenia. Methods: Direct and indirect costs associated with schizophrenia were estimated using a prevalencebased approach. Direct health care costs were assessed retrospectively using an exact matched cohort design in the IBM Watson Health MarketScan databases from October 1, 2015, through December 31, 2019. Patients with schizophrenia (identified using ICD-10-CM codes F20 and F25) were exactly matched to controls on demographics, insurance type, and index year. Direct non-health care costs were estimated using published literature and government data. Indirect costs were estimated using a human capital approach and the value of quality-adjusted life-years lost. Cost offsets were estimated to account for basic living costs avoided. Excess costs, comparing costs for individuals with and without schizophrenia, were reported in 2019 USD.

At least one co-author has disclosed a financial relationship of potential relevance for this research. Further information is available online at http://www.nber.org/papers/w25330.ack NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

ObjectiveTo measure the frequency of adequate methods, inadequate methods and poor reporting in published randomised controlled trials (RCTs) and test potential factors associated with adequacy of methods and reporting.DesignRetrospective analysis of RCTs included in Cochrane reviews. Time series describes the proportion of RCTs using adequate methods, inadequate methods and poor reporting. A multinomial logit model tests potential factors associated with methods and reporting, including funding source, first author affiliation, clinical trial registration status, study novelty, team characteristics, technology and geography.DataRisk of bias assessments for random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data and selective reporting, for each RCT, were mapped to bibliometric and funding data.OutcomesRisk of bias on six methodological dimensions and RCT-level overall assessment of adequate methods, inadequate methods or poor reporting.ResultsThis study analysed 20 571 RCTs. 5.7% of RCTs used adequate methods (N=1173). 59.3% used inadequate methods (N=12 190) and 35.0% were poorly reported (N=7208). The proportion of poorly reported RCTs decreased from 42.5% in 1990 to 30.2% in 2015. The proportion of RCTs using adequate methods increased from 2.6% in 1990 to 10.3% in 2015. The proportion of RCTs using inadequate methods increased from 54.9% in 1990 to 59.5% in 2015. Industry funding, top pharmaceutical company affiliation, trial registration, larger authorship teams, international teams and drug trials were associated with a greater likelihood of using adequate methods. National Institutes of Health funding and university prestige were not.ConclusionEven though reporting has improved since 1990, the proportion of RCTs using inadequate methods is high (59.3%) and increasing, potentially slowing progress and contributing to the reproducibility crisis. Stronger incentives for the use of adequate methods are needed.

Summary Disease management programs aim to reduce cost by improving the quality of care for chronic diseases. Evidence of their effectiveness is mixed. Reducing health care spending sufficiently to cover program costs has proved particularly challenging. This study uses a difference in differences design to examine the impact of a diabetes disease management program for high risk patients on preventive tests, health outcomes, and cost of care. Heterogeneity is examined along the dimensions of severity (measured using the proxy of poor glycemic control) and preventive testing received in the baseline year. Although disease management programs tend to focus on the sickest, the impact of this program concentrates in the group of people who had not received recommended tests in the preintervention period. If confirmed, such findings are practically important to improve cost‐effectiveness in disease management programs by targeting relevant subgroups defined both based on severity and on (missing) test information.

Several drugs repurposed as COVID-19 treatment are in short supply. We collect data from MediaCloud and Google Health Trends about eight drugs proposed for repurposing as COVID-19 treatments and reported to be in shortage by the U.S. Food and Drug Administration from January 1, 2020 through June 30, 2020. We find that news media coverage could have contributed to shortages due to hoarding by individuals and stockpiling by institutions, and that search trends appear to accurately discriminate between individual hoarding and institutional stockpiling.

BackgroundSchizophrenia is associated with health, social, and financial burdens for patients, caregivers, and society. Major systemic changes, reforms, and technological advances have happened in the USA since the prior estimate of the societal cost of schizophrenia, $155.7B in 2013. This study analyzes the most recent data and literature to update this estimate.MethodsDirect and indirect costs associated with schizophrenia in the US in 2019 were estimated using a prevalence-based approach (ICD-10 codes: F20, F25). Direct healthcare costs were assessed retrospectively using a matched cohort design in the IBM Watson Health MarketScan Commercial, Medicare, and Medicaid databases from October 1, 2015, through December 31, 2019. Patients were matched to controls on demographics, insurance type, and index year. Direct nonhealthcare costs were estimated using published literature and government data. Indirect costs were estimated using a human capital approach and the value of quality-adjusted life years lost. Cost offsets were applied to account for basic living costs avoided. Excess costs, comparing costs for individuals with and without schizophrenia, were reported in 2019 USD.ResultsThe estimated excess economic burden of schizophrenia in the US in 2019 was $330.6B, including $62.3B in direct healthcare costs (19%), $19.7B in direct nonhealthcare costs (5%), and $251.9B in excess indirect costs (76%). The largest drivers of indirect costs were caregiving ($112.3B), premature mortality ($77.9B), and unemployment ($54.2B).ConclusionsThe estimated societal burden of schizophrenia in the USA in 2019 was $330.6B, which represented a 93.5% increase from 2013 to 2019, after accounting for inflation. This study underscores the increasing and apparent burden of schizophrenia not only on the patient, but also on caregivers and society.FundingSunovion Pharmaceuticals

Real-world data were collected to examine antimicrobial resistance (AMR) prevalence, treatment patterns, and clinical outcomes among female patients with uncomplicated urinary tract infection (uUTI) in Germany. Data were from a retrospective physician-based chart review completed by physicians treating patients with uUTI. Non-pregnant women aged ≥ 12 years, with a uUTI diagnosis, an E. coli-positive urine culture between January 2017–December 2019, and susceptibility test results for ≥ 4 drug classes were eligible. Patients were stratified into three cohorts by drug class susceptibility: susceptible to all (SUS), resistant to one or two drug classes (DR1/2), and resistant to ≥ 3 (MDR) drug classes tested. Among 386 eligible patients [SUS (67.1%); DR1/2 (29.0%); MDR (3.9%)], AMR prevalence was highest for FMIs (18.3%) and lowest for fluoroquinolones (5.2%). The most prescribed drugs were fosfomycin in SUS (44.0%), DR1/2 (41.4%), and fluoroquinolones in MDR (40.0%). Treatment for uUTI failed for 8.8% of patients; failure was more likely in MDR versus SUS [adjusted odds ratio [95% CI] = 4.21 [1.14–1.50]; P = 0.031); incidence of recurrent infection in the 6-months post-index period was higher in DR1/2 versus SUS. These findings may have implications for empiric prescribing, suggesting an unmet need for new treatments.

The extant infrastructure for child abuse surveillance, dependent on reporting by schools and healthcare professionals, has been disrupted by the pandemic. Using Google Trends and MediaCloud data, we find a drop in Internet searches and news reports about child abuse and neglect during the pandemic, which may reflect decreased scrutiny.