Success rates for product development strategies in new drug development

临床试验 新产品开发 药物开发 药品 产品(数学) 制药工业 医学 临床研究设计 业务 过程管理 营销 药理学 内科学 几何学 数学
作者
Ellen Dahlin,Gregory M. Nelson,Marion E. Haynes,F. Sargeant
出处
期刊:Journal of Clinical Pharmacy and Therapeutics [Wiley]
卷期号:41 (2): 198-202 被引量:10
标识
DOI:10.1111/jcpt.12362
摘要

WHAT IS KNOWN AND OBJECTIVE: While research has examined the likelihood that drugs progress across phases of clinical trials, no research to date has examined the types of product development strategies that are the most likely to be successful in clinical trials. This research seeks to identify the strategies that are most likely to reach the market-those generated using a novel product development strategy or strategies that combine a company's expertise with both drugs and indications, which we call combined experience strategies. METHODS: We evaluate the success of product development strategies in the drug development process for a sample of 2562 clinical trials completed by 406 US pharmaceutical companies. To identify product development strategies, we coded each clinical trial according to whether it consisted of an indication or a drug that was new to the firm. Accordingly, a clinical trial that consists of both an indication and a drug that were both new to the firm represents a novel product development strategy; indication experience is a product development strategy that consists of an indication that a firm had tested previously in a clinical trial, but with a drug that was new to the firm; drug experience is a product development strategy that consists of a drug that the firm had prior experience testing in clinical trials, but with an indication that was new to the firm; combined experience consists of both a drug and an indication that the firm had experience testing in clinical trials. Success rates for product development strategies across clinical phases were calculated for the clinical trials in our sample. RESULTS AND DISCUSSION: Combined experience strategies had the highest success rate. More than three and a half percent (0·036) of the trials that combined experience with drugs and indications eventually reached the market. The next most successful strategy is drug experience (0·025) with novel strategies trailing closely (0·024). Indication experience strategies are the least successful (0·008). These differences are statistically significant. WHAT IS NEW AND CONCLUSION: The primary contribution of this study is that product development strategies combining experience with drugs and indications strategies are the most likely to reach the market, even though they are least common strategy. Therefore, combined experience strategies remain underutilized. The findings also suggest a promising path for pursuing combined experience strategies: gaining expertise with drugs is likely to be a more effective path to gaining the expertise necessary for developing subsequent recombination strategies.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
带路完成签到,获得积分10
1秒前
1秒前
1秒前
meixinran完成签到 ,获得积分10
1秒前
poas应助顶天立地采纳,获得10
1秒前
rxj发布了新的文献求助10
2秒前
树叶发布了新的文献求助10
2秒前
快乐渊思完成签到,获得积分20
2秒前
乐观的蜜蜂完成签到,获得积分10
2秒前
chase完成签到,获得积分10
3秒前
一个刚刚完成签到,获得积分10
3秒前
青旭流觞完成签到,获得积分10
3秒前
4秒前
4秒前
laojian完成签到 ,获得积分10
5秒前
安安应助謓言采纳,获得10
6秒前
6秒前
Sqw发布了新的文献求助10
6秒前
霍红杰完成签到,获得积分10
6秒前
xiao完成签到,获得积分10
6秒前
NexusExplorer应助斯信荣采纳,获得10
7秒前
7秒前
卓涵柏完成签到,获得积分10
7秒前
上官若男应助陈栩采纳,获得10
7秒前
松谦发布了新的文献求助10
7秒前
LL完成签到 ,获得积分10
8秒前
Mira完成签到,获得积分10
8秒前
8秒前
XinyuLu完成签到,获得积分10
8秒前
浅白完成签到 ,获得积分10
9秒前
田様应助行兹在兹采纳,获得10
10秒前
嘻嘻哈哈完成签到,获得积分10
10秒前
10秒前
10秒前
Jane2024完成签到,获得积分10
10秒前
dd完成签到,获得积分10
11秒前
自信的小虾米完成签到,获得积分10
11秒前
wjl123456完成签到,获得积分10
12秒前
hh完成签到,获得积分10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7620913
求助须知:如何正确求助?哪些是违规求助? 9195882
关于积分的说明 19710714
捐赠科研通 7192311
什么是DOI,文献DOI怎么找? 3272625
关于科研通互助平台的介绍 2435199
邀请新用户注册赠送积分活动 2267758