A. Alex Levine, Daniel E. Enright, Katherine A. Clifford, Stacey Kowal, James D. Chambers
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For pairs approved by the US FDA from 1999 to 2018, we quantified incremental health gains using QALYs from the published literature and characterized each pair’s novelty in terms of a series of six binary (yes/no) characteristics of novel drugs given special consideration by Health Technology Assessment agencies: <i>Novel mechanism of action</i>, <i>Indicated for a rare disease</i>, <i>Indicated for a pediatric population</i>, <i>Treats a serious condition</i>, <i>Offers meaningful improvement over available therapies</i>, and <i>Potential to address unmet clinical needs</i>. We analyzed measures of bivariate association (Mann-Whitney U and Kolmogorov-Smirnov tests) and multivariable regression, accounting for the influence of multiple novelty characteristics simultaneously.</p><h3>Results</h3><p>Our sample of 146 drugs represents 21% of drugs approved the FDA in the time period (1999–2018). Median and mean QALY gains for ‘novel’ drug–indication pairs exceeded corresponding QALY gains for non-novel drug–indication pairs. For most comparisons, the bivariate relationships between QALY gains and novelty characteristics were significant at <i>p </i>< 0.05 except for <i>novel mechanism of action</i> (Kolmogorov-Smirnov test) and <i>pediatric indication</i> (both bivariate tests). Multivariable models revealed an independent association between novelty characteristics and QALY gain except for <i>unmet clinical need</i> and <i>indicated for a rare disease</i>.</p><h3>Conclusions</h3><p>Drugs with novelty characteristics conferred larger health gains than drugs without these characteristics in bivariate analysis, multivariable models, or both. Future research should examine other aspects of drug novelty, such as patient and health system costs and equitable access.</p></div>","PeriodicalId":8065,"journal":{"name":"Applied Health Economics and Health Policy","volume":"22 6","pages":"827 - 832"},"PeriodicalIF":3.1000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Are Drug Novelty Characteristics Associated With Greater Health Benefits?\",\"authors\":\"A. Alex Levine, Daniel E. Enright, Katherine A. Clifford, Stacey Kowal, James D. 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Multivariable models revealed an independent association between novelty characteristics and QALY gain except for <i>unmet clinical need</i> and <i>indicated for a rare disease</i>.</p><h3>Conclusions</h3><p>Drugs with novelty characteristics conferred larger health gains than drugs without these characteristics in bivariate analysis, multivariable models, or both. 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引用次数: 0
摘要
研究目的本研究的目的是以质量调整生命年(QALYs)为单位,研究新型药物的特征与相对于标准护理的增量健康收益之间的关联:本研究的分析单位是药物-适应症配对。对于美国 FDA 在 1999 年至 2018 年期间批准的药物配对,我们使用已发表文献中的 QALYs 量化了增量健康收益,并根据健康技术评估机构特别考虑的新型药物的六种二进制(是/否)特征来描述每对药物配对的新颖性:新的作用机制、适用于罕见疾病、适用于儿科人群、治疗严重疾病、与现有疗法相比有明显改善、有可能满足未满足的临床需求。我们分析了二元相关性(Mann-Whitney U 和 Kolmogorov-Smirnov 检验)和多变量回归,同时考虑了多种新特性的影响:我们的146种药物样本占1999-2018年期间FDA批准药物的21%。新型 "药物-适应症配对的QALY收益中位数和平均值超过了非新型药物-适应症配对的相应QALY收益。在大多数比较中,QALY 收益与新颖性特征之间的双变量关系在 p 结论下具有显著性:在双变量分析、多变量模型或两者中,具有新颖性特征的药物比不具有这些特征的药物能带来更大的健康收益。未来的研究应考察药物新颖性的其他方面,如患者和医疗系统成本以及公平获取。
Are Drug Novelty Characteristics Associated With Greater Health Benefits?
Objective
The aim of this study was to examine the association between characteristics of novel drugs and incremental health gains relative to standard of care, in terms of quality-adjusted life-years (QALYs).
Methods
This study’s unit of analysis is the drug–indication pair. For pairs approved by the US FDA from 1999 to 2018, we quantified incremental health gains using QALYs from the published literature and characterized each pair’s novelty in terms of a series of six binary (yes/no) characteristics of novel drugs given special consideration by Health Technology Assessment agencies: Novel mechanism of action, Indicated for a rare disease, Indicated for a pediatric population, Treats a serious condition, Offers meaningful improvement over available therapies, and Potential to address unmet clinical needs. We analyzed measures of bivariate association (Mann-Whitney U and Kolmogorov-Smirnov tests) and multivariable regression, accounting for the influence of multiple novelty characteristics simultaneously.
Results
Our sample of 146 drugs represents 21% of drugs approved the FDA in the time period (1999–2018). Median and mean QALY gains for ‘novel’ drug–indication pairs exceeded corresponding QALY gains for non-novel drug–indication pairs. For most comparisons, the bivariate relationships between QALY gains and novelty characteristics were significant at p < 0.05 except for novel mechanism of action (Kolmogorov-Smirnov test) and pediatric indication (both bivariate tests). Multivariable models revealed an independent association between novelty characteristics and QALY gain except for unmet clinical need and indicated for a rare disease.
Conclusions
Drugs with novelty characteristics conferred larger health gains than drugs without these characteristics in bivariate analysis, multivariable models, or both. Future research should examine other aspects of drug novelty, such as patient and health system costs and equitable access.
期刊介绍:
Applied Health Economics and Health Policy provides timely publication of cutting-edge research and expert opinion from this increasingly important field, making it a vital resource for payers, providers and researchers alike. The journal includes high quality economic research and reviews of all aspects of healthcare from various perspectives and countries, designed to communicate the latest applied information in health economics and health policy.
While emphasis is placed on information with practical applications, a strong basis of underlying scientific rigor is maintained.