Background: Emerging evidence suggests that shortened, simplified treatment regimens for rifampicin-resistant tuberculosis (RR-TB) can achieve comparable end-of-treatment (EOT) outcomes to longer regimens. We compared a 6-month regimen containing bedaquiline, pretomanid, linezolid, and moxifloxacin (BPaLM) to a standard of care strategy using a 9- or 18-month regimen depending on whether fluoroquinolone resistance (FQ-R) was detected on drug susceptibility testing (DST).
Methods And Findings: The primary objective was to determine whether 6 months of BPaLM is a cost-effective treatment strategy for RR-TB.
Background: Gene therapy is a potential cure for sickle cell disease (SCD). Conventional cost-effectiveness analysis (CEA) does not capture the effects of treatments on disparities in SCD, but distributional CEA (DCEA) uses equity weights to incorporate these considerations.
Objective: To compare gene therapy versus standard of care (SOC) in patients with SCD by using conventional CEA and DCEA.
Given the sizable number of patients with symptomatic gastroesophageal reflux disease (GERD) despite proton pump inhibitor (PPI) therapy, non-pharmacologic treatment has become increasingly utilized. The aim of this study was to analyze the cost-effectiveness of medical, endoscopic, and surgical treatment of GERD. A deterministic Markov cohort model was constructed from the US healthcare payer's perspective to evaluate the cost-effectiveness of three competing strategies: 1) omeprazole 20 mg twice daily; 2) transoral incisionless fundoplication (TIF 2.
View Article and Find Full Text PDFThe objective was to assess the cost-effectiveness of staging PET/CT in early-stage follicular lymphoma (FL) from the Canadian health-care system perspective. The study population was FL patients staged as early-stage using conventional CT imaging and planned for curative-intent radiation therapy (RT). A decision analytic model simulated the management after adding staging PET/CT versus using staging CT alone.
View Article and Find Full Text PDFMathematical modeling has played a prominent and necessary role in the current coronavirus disease 2019 (COVID-19) pandemic, with an increasing number of models being developed to track and project the spread of the disease, as well as major decisions being made based on the results of these studies. A proliferation of models, often diverging widely in their projections, has been accompanied by criticism of the validity of modeled analyses and uncertainty as to when and to what extent results can be trusted. Drawing on examples from COVID-19 and other infectious diseases of global importance, we review key limitations of mathematical modeling as a tool for interpreting empirical data and informing individual and public decision making.
View Article and Find Full Text PDFObjective: The worldwide pandemic involving the novel respiratory syndrome (COVID-19) has forced health care systems to delay elective operations, including abdominal aortic aneurysm (AAA) repair, to conserve resources. This study provides a structured analysis of the decision to delay AAA repair and quantify the potential for harm.
Methods: A decision tree was constructed modeling immediate repair of AAA relative to an initial nonoperative (delayed repair) approach.
Background: Despite a consistent association with improved outcomes, public automated external defibrillators (AEDs) are rarely used in out-of-hospital cardiac arrest. One of the barriers towards increased use might be cost-effectiveness.
Methods: We compared the cost-effectiveness of public AEDs to no AEDs for out-of-hospital cardiac arrest in the United States over a life-time horizon.
Background: A growing body of research has identified health-related quality-of-life effects for caregivers and family members of ill patients (i.e. 'spillover effects'), yet these are rarely considered in cost-effectiveness analyses (CEAs).
View Article and Find Full Text PDFBackground: In 2008, the Institute of Medicine released a letter report identifying 4 research priority areas for public health emergency preparedness in public health system research: (1) enhancing the usefulness of training, (2) improving timely emergency communications, (3) creating and maintaining sustainable response systems, and (4) generating effectiveness criteria and metrics.
Objectives: To (1) identify and characterize public health system research in public health emergency preparedness produced in the United States from 2009 to 2015, (2) synthesize research findings and assess the level of confidence in these findings, and (3) describe the evolution of knowledge production in public health emergency preparedness system research. Search Methods and Selection Criteria.