{"title":"德国和法国抗癌药物价格的决定因素:多元回归分析。","authors":"Nethra Subramanian, Aadhav Subramanian","doi":"10.1080/14737167.2025.2518140","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Higher prices for drugs targeting rarer cancers may be justified, but the extent remains uncertain. This research analyses the determinants of cancer drug prices in Germany and France.</p><p><strong>Research design and methods: </strong>Cancer drugs approved in EU between 2011 and 2022 with available benefit assessments and prices were analyzed. Monthly treatment cost was the dependent variable; approval year, orphan status, benefit rating, number of comparators, and target population size were independent variables. Univariate and multiple regression analyses were conducted.</p><p><strong>Results: </strong>The analysis included 107 drugs in Germany and 70 in France. In Germany, univariate analysis showed significance for benefit magnitude, orphan status, number of comparators, target population, and approval year. In France, orphan status, number of comparators, target population, and approval year were significant. Regression models showed that log target population (<i>p</i> < 0.0001), approval year (<i>p</i> = 0.021), and major/considerable benefit (<i>p</i> < 0.0001) were significant in Germany; log target population (<i>p</i> = 0.001) and ASMR II/III (<i>p</i> = 0.017) were significant in France.</p><p><strong>Conclusions: </strong>Target population and benefit rating are drivers of cancer drug prices in Germany and France. The analysis provides quantitative evidence on the association between cancer rarity and price, which could inform policy.</p>","PeriodicalId":12244,"journal":{"name":"Expert Review of Pharmacoeconomics & Outcomes Research","volume":" ","pages":"1-8"},"PeriodicalIF":1.5000,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determinants of cancer drug prices in Germany and France: a multiple regression analysis.\",\"authors\":\"Nethra Subramanian, Aadhav Subramanian\",\"doi\":\"10.1080/14737167.2025.2518140\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Higher prices for drugs targeting rarer cancers may be justified, but the extent remains uncertain. This research analyses the determinants of cancer drug prices in Germany and France.</p><p><strong>Research design and methods: </strong>Cancer drugs approved in EU between 2011 and 2022 with available benefit assessments and prices were analyzed. Monthly treatment cost was the dependent variable; approval year, orphan status, benefit rating, number of comparators, and target population size were independent variables. Univariate and multiple regression analyses were conducted.</p><p><strong>Results: </strong>The analysis included 107 drugs in Germany and 70 in France. In Germany, univariate analysis showed significance for benefit magnitude, orphan status, number of comparators, target population, and approval year. In France, orphan status, number of comparators, target population, and approval year were significant. Regression models showed that log target population (<i>p</i> < 0.0001), approval year (<i>p</i> = 0.021), and major/considerable benefit (<i>p</i> < 0.0001) were significant in Germany; log target population (<i>p</i> = 0.001) and ASMR II/III (<i>p</i> = 0.017) were significant in France.</p><p><strong>Conclusions: </strong>Target population and benefit rating are drivers of cancer drug prices in Germany and France. The analysis provides quantitative evidence on the association between cancer rarity and price, which could inform policy.</p>\",\"PeriodicalId\":12244,\"journal\":{\"name\":\"Expert Review of Pharmacoeconomics & Outcomes Research\",\"volume\":\" \",\"pages\":\"1-8\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Expert Review of Pharmacoeconomics & Outcomes Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/14737167.2025.2518140\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Pharmacoeconomics & Outcomes Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/14737167.2025.2518140","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Determinants of cancer drug prices in Germany and France: a multiple regression analysis.
Background: Higher prices for drugs targeting rarer cancers may be justified, but the extent remains uncertain. This research analyses the determinants of cancer drug prices in Germany and France.
Research design and methods: Cancer drugs approved in EU between 2011 and 2022 with available benefit assessments and prices were analyzed. Monthly treatment cost was the dependent variable; approval year, orphan status, benefit rating, number of comparators, and target population size were independent variables. Univariate and multiple regression analyses were conducted.
Results: The analysis included 107 drugs in Germany and 70 in France. In Germany, univariate analysis showed significance for benefit magnitude, orphan status, number of comparators, target population, and approval year. In France, orphan status, number of comparators, target population, and approval year were significant. Regression models showed that log target population (p < 0.0001), approval year (p = 0.021), and major/considerable benefit (p < 0.0001) were significant in Germany; log target population (p = 0.001) and ASMR II/III (p = 0.017) were significant in France.
Conclusions: Target population and benefit rating are drivers of cancer drug prices in Germany and France. The analysis provides quantitative evidence on the association between cancer rarity and price, which could inform policy.
期刊介绍:
Expert Review of Pharmacoeconomics & Outcomes Research (ISSN 1473-7167) provides expert reviews on cost-benefit and pharmacoeconomic issues relating to the clinical use of drugs and therapeutic approaches. Coverage includes pharmacoeconomics and quality-of-life research, therapeutic outcomes, evidence-based medicine and cost-benefit research. All articles are subject to rigorous peer-review.
The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections:
Expert Opinion – a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results
Article Highlights – an executive summary of the author’s most critical points.