Italy was used as a case study to investigate the determinants of the difference between the price proposal for medicines submitted by the industry and the final negotiated price (∆P). Data was gathered through the information system used by Italian Medicines Agency (AIFA) and the time-frame for this analysis is 2013-2017. Factors influencing the delta price were analyzed through a regression analysis. Forty four orphan drugs and 89 new other molecular entities obtained reimbursement in the period considered. Following the negotiation process, prices proposed by Marketing Authorization Holders (MAH) were lowered during the negotiation process by 25.1% and 28.6% on average for orphan drugs and other molecules respectively. The price reduction was higher for innovative drugs (-32.2%). Statistically significant determinants associated to higher price reduction were: i) the implementation of a product specific monitoring registry, ii) the negotiation of a financial-based (FB) Managed Entry Agreement, iii) a target population larger than 20,000 patients, iv) an expected National Health Service expenditure larger than € 200 million. The impact of some variables on the delta price was predictable (e.g. for drugs with an expected higher budget impact and a larger target population), others were more surprising (e.g. a significant price reduction for "innovative" drugs). The implementation of FB agreements, which often rely on confidential arrangements, was one of the determinants with higher impact on price reduction.
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http://dx.doi.org/10.1701/3309.32795 | DOI Listing |
Pharmacoeconomics
January 2025
Centre for Health Economics Research and Evaluation, University of Technology Sydney, PO Box 123, Broadway, NSW, 2007, Australia.
Background: Cost-utility analyses commonly use two primary methods to value productivity: the human capital approach (HCA) and the friction cost approach (FCA). Another less frequently used method is the willingness-to-pay (WTP) approach, which estimates the monetary value individuals assign to avoiding an illness. In the context of foodborne illnesses (FBI), productivity loss represents one of the most significant economic impacts, particularly in developed nations.
View Article and Find Full Text PDFAsia Pac J Public Health
January 2025
Department of Dental Hygiene, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju, South Korea.
This study evaluates the influence of smoking cessation policies and COVID-19 on the prevalence of smoking among Korean adolescents from 2011 to 2020. Based on the Korea Youth Risk Behavior Web-based Survey, trends in adolescent smoking behaviors were examined, including the impact of cigarette price increases, Pictorial Warning Labels (PWLs), and the onset of COVID-19. We used joinpoint regression analysis to discern annual changes in the prevalence of adolescent smokers.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain.
Unnecessary preoperative testing poses a risk to patient safety, causes surgical delays, and increases healthcare costs. We describe the effects of implementing a fully EHR-integrated closed-loop clinical decision support system (CDSS) for placing automatic preprocedural test orders at two teaching hospitals in Madrid, Spain. Interrupted time series analysis was performed to evaluate changes in rates of preoperative testing after CDSS implementation, which took place from September 2019 to December 2019.
View Article and Find Full Text PDFRev Alerg Mex
December 2024
Master's in economics, HS Pharmacoeconomic Research, Mexico City, Mexico.
Cancer 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.
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