Price controls for prescription drugs are once again at the forefront of policy discussions in the United States. Much of the focus has been on the potential short-term savings - in terms of lower spending - although evidence suggests price controls can dampen innovation and adversely affect long-term population health. This paper applies the Health Economics Medical Innovation Simulation, a microsimulation of older Americans, to estimate the long-term impacts of government price setting in Medicare Part D, using pricing in the Federal Veterans Health Administration program as a proxy. We find that VA-style pricing policies would save between $0.1 trillion and $0.3 trillion (US$2015) in lifetime drug spending for people born in 1949-2005. However, such savings come with social costs. After accounting for innovation spillovers, we find that price setting in Part D reduces the number of new drug introductions by as much as 25% relative to the status quo. As a result, life expectancy for the cohort born in 1991-1995 is reduced by almost 2 years relative to the status quo. Overall, we find that price controls would reduce lifetime welfare by $5.7 to $13.3 trillion (US$2015) for the US population born in 1949-2005.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1515/fhep-2016-0011 | DOI Listing |
Sci Rep
January 2025
Crop and Horticultural Science Research Department, Mazandaran Agricultural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Tajrish, Iran.
Plum fruit fresh weight (FW) estimation is crucial for various agricultural practices, including yield prediction, quality control, and market pricing. Traditional methods for estimating fruit weight are often destructive, time-consuming, and labor-intensive. In this study, we addressed the problem of predicting plum FW using artificial intelligence (AI) methods based on fruit dimensions.
View Article and Find Full Text PDFCurr Drug Saf
January 2025
Department of Chemistry, K J Somaiya College of Science and Commerce, Vidyavihar, Mumbai-77, India.
The presence of N-nitrosamine impurities in pharmaceutical products is well known. In 2019, it resulted in drug recall by the Food and Drug Administration (FDA). Soon, several groups identified the presence of many N-nitrosamines (NAs) in various Active Pharmaceutical Ingredients (APIs) and drug formulations worldwide.
View Article and Find Full Text PDFCancer Causes Control
January 2025
North Valley Breast Clinic, 1335 Buenaventura Blvd, Suite 204, Redding, CA, 96001, USA.
Objectives: Automated breast ultrasound imaging (ABUS) results in a reduction in breast cancer stage at diagnosis beyond that seen with mammographic screening in women with increased breast density or who are at a high risk of breast cancer. It is unknown if the addition of ABUS to mammography or ABUS imaging alone, in this population, is a cost-effective screening strategy.
Methods: A discrete event simulation (Monte Carlo) model was developed to assess the costs of screening, diagnostic evaluation, biopsy, and breast cancer treatment.
Alzheimers Dement
December 2024
University of Florida, Gainesville, FL, USA.
Background: Preexisting cognitive impairment is a significant risk factor for post operative delirium (POD), and POD increases morbidity and mortality. Disturbances of attention (i.e.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Butler Hospital Memory and Aging Program, Providence, RI, USA.
Background: Informant reports can complement standardized cognitive assessment and improve accuracy of dementia diagnosis. Although informant reports correlate moderately with objective measures of decline, the influence of informant factors, such as gender, on these relationships is unclear. This study assessed the hypothesis that informant gender would emerge as an independent predictor in the relationship between informant ratings of cognitive function (i.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!