为降低制药公司提交药物-器械组合产品 ANDA 的风险而开展的 ANDA 前战略和人为因素活动:形成性比较使用人为因素研究的案例研究。

Expert opinion on drug delivery Pub Date : 2024-05-01 Epub Date: 2024-05-29 DOI:10.1080/17425247.2024.2356678
Laurie Brunet-Manquat, Anne Combedazou, Bomby Ahuja, Alice Maden, Claire Ramus, Tatsiana Mardovina, Cécile Frolet
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引用次数: 0

摘要

背景:本文介绍了一家给药设备开发商(DDDD)为支持药物-设备组合产品的简略新药申请(ANDA)提交而采取的策略。根据 FDA 的相关指导,应编制一份阈值分析。如果发现参考文献列表药物(RLD)和仿制药器械之间存在 "其他差异",可要求进行比较使用人为因素(CUHF)研究:方法:DDD 进行了任务分析和物理比较,以评估笔式注射器的设计差异。然后,由 25 名参与者模拟使用 RLD 和普通笔式注射器进行注射,开展了一项形成性 CUHF 研究:结果:每位参与者完成四次模拟注射后,观察到 RLD(0.70)和普通笔式注射器(0.68)的类型和使用错误率相似:通过启动任务比较分析和设备物理比较作为阈值分析的输入,DDDDs 可以支持制药公司的药物-设备组合产品的 ANDA 提交战略。如果发现 "其他差异",则可进行形成性 CUHF 研究。正如我们的案例研究所示,这种方法可用于支持样本量计算和确定最终组合产品的 CUHF 研究的非劣效边际。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pre-ANDA strategy and Human Factors activities to de-risk pharmaceutical companies ANDA submission of drug-device combination products: case study of a formative Comparative Use Human Factors study.

Background: This article presents a strategy that a Drug Delivery Device Developer (DDDD) has adopted to support Abbreviated New Drug Application (ANDA) submissions of drug-device combination products. As per the related FDA guidance, a threshold analysis should be compiled. If 'other differences' between the Reference Listed Drug (RLD) and the generic drug devices are identified, a Comparative Use Human Factors (CUHF) study may be requested.

Methods: The DDDD performed task analysis and physical comparison to assess the pen injector design differences. Then, a formative CUHF study with 25 participants simulating injections using both RLD and the generic pen injectors was conducted.

Results: After each participant completed four simulated injections, similar type and rates of use error between the RLD (0.70) and generic (0.68) pen injectors were observed.

Conclusion: DDDDs can support pharmaceutical companies in the ANDA submission strategy of their drug-device combination product by initiating comparative task analysis and physical comparison of the device as inputs for the threshold analysis. If 'other differences' are identified, a formative CUHF study can be performed. As shown in our case study, this approach can be leveraged to support the sample size calculation and non-inferiority margin determination for a CUHF study with the final combination product.

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