Mousavi Atefeh, Zare Hossein, Asadian Aydin, Mohammadzadeh Mehdi
Pharmaceutical and Health Economics and Management Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Department of Health Policy and Management, Johns Hopkins Center for Health Disparities Solutions, the University of Maryland Global Campus, Health Services Management, 624 North Broadway, Baltimore, Maryland, United States.
Iran J Pharm Res. 2022 Apr 29;21(1):e127039. doi: 10.5812/ijpr-127039. eCollection 2022 Dec.
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.
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.
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.
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.
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.
产品生命周期（PLC）是指产品从进入市场到下架的时间跨度。产品生命周期管理能够确保产品存续并防止其衰退。
本研究调查了伊朗竞争激烈的药品市场中通用抗生素的产品生命周期，并检测了影响其的因素，以改善此类药物的产品生命周期管理。
为研究抗生素的产品生命周期，收集了2002年至2017年的数据，然后对产品生命周期曲线进行分析。据此，从两个方面阐述了影响抗生素产品生命周期的因素：所有产品生命周期曲线以及具有一个销售峰值的产品生命周期曲线。使用广义线性模型结合机器学习方法，我们确定了销售模式以及产品相关和竞争相关因素对产品生命周期曲线、峰值高度和达到销售峰值时间的影响。
根据研究结果，分别有16%、11.87%、13.03%和59%的抗生素具有线性、二项式、单峰和振荡销售模式。影响产品生命周期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安排。
本研究考察了影响通用药品产品生命周期模式的因素。这些发现将为许多国家较少研究的市场之一——通用药品市场提供更多见解。
