What makes personalized medicine work? : an empirical analysis of the role of product attributes, medical professional societies and patient groups in the diffusion of four breast cancer genetic tests

Personalized medicine is the science and practice of customizing medical screening and treatment plans for an individual based on his or her genomic profile. Breast cancer is one of the first disease areas to serve as an example of this approach, where most patients have experienced its benefits through the use of genetic tests that provide decision support for health care workers regarding the likely effectiveness of specific drugs and, more broadly, the urgency of particular treatment options (for example, chemoprevention versus prophylactic surgery). Little is known about the diffusion of such personalized approaches to medical practice, particularly the factors shaping the adoption of genetic tests. While numerous medical diffusion studies have been published over the past few decades, most were univariate analyses and did not consider the unique aspects of genetic testing versus drugs. Moreover, they mainly focused on the characteristics and behaviors of physicians, patients, product manufacturers, and social networks, and did not explore the role of potentially important third parties like professional medical societies and patient groups (e.g. disease foundations and patient advocacy organizations). The aim of this thesis was to analyze the relationship between seven attributes of four breast cancer genetic tests and clinical adoption to show that standard diffusion frameworks can be enhanced through previously unstudied dimensions when evaluating personalized medicine-related innovations.

Department dc:contributor.department

Harvard University--MIT Division of Health Sciences and Technology.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2009

Author dc:creator

• Yoo, Julie Keunhee

Advisor dc:contributor.advisor

• Fiona E. Murray and Anthony J. Sinskey.

• Harvard University--MIT Division of Health Sciences and Technology.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/54595

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/54595