{"title":"Quantifying the Value of Personalized Medicines: Evidence from COX-2 Inhibitors","authors":"N. Sood, T. Philipson, P. Huckfeldt","doi":"10.1515/fhep-2013-0005","DOIUrl":null,"url":null,"abstract":"Abstract We develop a conceptual framework for estimating the value of personalized medicines. We show that personalizing medicines generates value from two sources. The first is a market-expansion effect by persons who initiate treatment due to reduced pre-treatment uncertainty about the effectiveness or side effects of treatment. The second is a market-contraction effect due to discontinuation of treatment by persons unresponsive to treatment. We apply the conceptual framework to evaluate the value of a predictive test to assess whether patients are at elevated risk for cardiac complications from COX-2 inhibitors. We find that this predictive test would yield an overall value to patients of about $16 billion per year or $1284 per likely patient.","PeriodicalId":38039,"journal":{"name":"Forum for Health Economics and Policy","volume":"15 1","pages":"101 - 122"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forum for Health Economics and Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/fhep-2013-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 5
Abstract
Abstract We develop a conceptual framework for estimating the value of personalized medicines. We show that personalizing medicines generates value from two sources. The first is a market-expansion effect by persons who initiate treatment due to reduced pre-treatment uncertainty about the effectiveness or side effects of treatment. The second is a market-contraction effect due to discontinuation of treatment by persons unresponsive to treatment. We apply the conceptual framework to evaluate the value of a predictive test to assess whether patients are at elevated risk for cardiac complications from COX-2 inhibitors. We find that this predictive test would yield an overall value to patients of about $16 billion per year or $1284 per likely patient.
期刊介绍:
Forum for Health Economics & Policy (FHEP) showcases articles in key substantive areas that lie at the intersection of health economics and health policy. The journal uses an innovative structure of forums to promote discourse on the most pressing and timely subjects in health economics and health policy, such as biomedical research and the economy, and aging and medical care costs. Forums are chosen by the Editorial Board to reflect topics where additional research is needed by economists and where the field is advancing rapidly. The journal is edited by Katherine Baicker, David Cutler and Alan Garber of Harvard University, Jay Bhattacharya of Stanford University, Dana Goldman of the University of Southern California and RAND Corporation, Neeraj Sood of the University of Southern California, Anup Malani and Tomas Philipson of University of Chicago, Pinar Karaca Mandic of the University of Minnesota, and John Romley of the University of Southern California. FHEP is sponsored by the Schaeffer Center for Health Policy and Economics at the University of Southern California. A subscription to the journal also includes the proceedings from the National Bureau of Economic Research''s annual Frontiers in Health Policy Research Conference. Topics: Economics, Political economics, Biomedical research and the economy, Aging and medical care costs, Nursing, Cancer studies, Medical treatment, Others related.