Factors Affecting the Product Life Cycle of Generic Medicines.

Iranian Journal of Pharmaceutical Research : IJPR Pub Date : 2022-04-29 eCollection Date: 2022-12-01 DOI:10.5812/ijpr-127039
Atefeh Mousavi, Hossein Zare, Aydin Asadian, Mehdi Mohammadzadeh
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引用次数: 1

Abstract

Background: Product life cycle (PLC) refers to the time ranging from when a product is introduced into the market to when it is taken off the shelves. The PLC management can guarantee product survival and prevent its decline.

Objectives: This study investigated generic antibiotic PLCs and detected factors affecting them in the competitive pharmaceutical market of Iran to improve the PLC management of such drugs.

Methods: To study the PLC of antibiotics, data were collected from 2002 to 2017, and then the PLC curves were analyzed. Accordingly, factors affecting the PLC of antibiotics were illustrated in two sections: all PLC curves and the PLC curves with one sales peak. Using a generalized linear model combined with a machine learning approach, we identified the sales patterns and the effect of the product-related and the competition-related factors on the PLC curves, peak height, and the time to reach peak sales.

Results: According to the findings, 16, 11.87, 13.03, and 59% of the antibiotics had linear, binomial, one-peak, and oscillating sales patterns, respectively. The most crucial factors affecting the PLC shape were the quality, microbial spectrum, dosage forms, number of competitors, and entry arrangement.

Conclusions: This study examined factors affecting the PLC patterns of generic pharmaceutical products. The findings would provide more insights into the generic pharmaceutical market as one of the less-studied markets in many countries.

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影响仿制药产品生命周期的因素。
背景:产品生命周期(PLC)是指从产品进入市场到下架的时间范围。PLC管理可以保证产品的生存,防止其衰落。目的:调查伊朗竞争激烈的药品市场中仿制抗生素的PLC及影响因素,以提高仿制抗生素的PLC管理水平。方法:收集2002 ~ 2017年抗菌药物的PLC数据,并对PLC曲线进行分析。因此,影响抗生素PLC的因素分为两部分:全部PLC曲线和有一个销售峰值的PLC曲线。使用结合机器学习方法的广义线性模型,我们确定了销售模式以及与产品相关和与竞争相关的因素对PLC曲线、峰值高度和达到峰值销售时间的影响。结果:16%、11.87、13.03和59%的抗菌药物销售呈线性、二项、单峰和振荡模式。影响PLC形状的最关键因素是质量、微生物谱、剂型、竞争对手数量和进入顺序。结论:本研究考察了影响仿制药PLC模式的因素。这些发现将为非专利药市场提供更多的见解,因为非专利药市场是许多国家研究较少的市场之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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