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
Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2009.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2010
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| Online Access: | http://hdl.handle.net/1721.1/54595 |
| _version_ | 1811087430909952000 |
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| author | Yoo, Julie Keunhee |
| author2 | Fiona E. Murray and Anthony J. Sinskey. |
| author_facet | Fiona E. Murray and Anthony J. Sinskey. Yoo, Julie Keunhee |
| author_sort | Yoo, Julie Keunhee |
| collection | MIT |
| description | Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2009. |
| first_indexed | 2024-09-23T13:45:58Z |
| format | Thesis |
| id | mit-1721.1/54595 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T13:45:58Z |
| publishDate | 2010 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/545952019-04-10T22:42:34Z 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 Empirical analysis of the role of product attributes, medical professional societies and patient groups in the diffusion of four breast cancer genetic tests Yoo, Julie Keunhee Fiona E. Murray and Anthony J. Sinskey. Harvard University--MIT Division of Health Sciences and Technology. Harvard University--MIT Division of Health Sciences and Technology. Harvard University--MIT Division of Health Sciences and Technology. Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2009. Cataloged from PDF version of thesis. Includes bibliographical references (p. 69-73). 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. (cont.) We identified four variables that correlated with clinical adoption: 1) regulatory status, 2) inclusion in practice guidelines by professional societies, 3) explicit endorsement by patient groups, and 4) implicit endorsement by patient groups. Our findings indicate that a key overlooked element in the current literature (and potentially overlooked by the firms creating these tests) is the role of patient groups in the diffusion of novel genetic tests, in addition to endorsement from medical professional societies. These findings may add value to strategic decisions made by company executives, investors, payers, health care providers, and patients as they are presented with novel products and development opportunities in the era of personalized medicine. by Julie Keunhee Yoo. S.M. 2010-04-28T17:06:46Z 2010-04-28T17:06:46Z 2009 2009 Thesis http://hdl.handle.net/1721.1/54595 586036923 eng 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. http://dspace.mit.edu/handle/1721.1/7582 73 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Harvard University--MIT Division of Health Sciences and Technology. Yoo, Julie Keunhee 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 |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | Harvard University--MIT Division of Health Sciences and Technology. |
| url | http://hdl.handle.net/1721.1/54595 |
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