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Precision medicine and the problem of structural injustice
Many countries currently invest in technologies and data infrastructures to foster precision medicine (PM), which is hoped to better tailor disease treatment and prevention to individual patients. But who can expect to benefit from PM? The answer depends not only on scientific developments but also...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212228/ https://www.ncbi.nlm.nih.gov/pubmed/37231234 http://dx.doi.org/10.1007/s11019-023-10158-8 |
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author | Green, Sara Prainsack, Barbara Sabatello, Maya |
author_facet | Green, Sara Prainsack, Barbara Sabatello, Maya |
author_sort | Green, Sara |
collection | PubMed |
description | Many countries currently invest in technologies and data infrastructures to foster precision medicine (PM), which is hoped to better tailor disease treatment and prevention to individual patients. But who can expect to benefit from PM? The answer depends not only on scientific developments but also on the willingness to address the problem of structural injustice. One important step is to confront the problem of underrepresentation of certain populations in PM cohorts via improved research inclusivity. Yet, we argue that the perspective needs to be broadened because the (in)equitable effects of PM are also strongly contingent on wider structural factors and prioritization of healthcare strategies and resources. When (and before) implementing PM, it is crucial to attend to how the organisation of healthcare systems influences who will benefit, as well as whether PM may present challenges for a solidaristic sharing of costs and risks. We discuss these issues through a comparative lens of healthcare models and PM-initiatives in the United States, Austria, and Denmark. The analysis draws attention to how PM hinges on—and simultaneously affects—access to healthcare services, public trust in data handling, and prioritization of healthcare resources. Finally, we provide suggestions for how to mitigate foreseeable negative effects. |
format | Online Article Text |
id | pubmed-10212228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-102122282023-05-26 Precision medicine and the problem of structural injustice Green, Sara Prainsack, Barbara Sabatello, Maya Med Health Care Philos Scientific Contribution Many countries currently invest in technologies and data infrastructures to foster precision medicine (PM), which is hoped to better tailor disease treatment and prevention to individual patients. But who can expect to benefit from PM? The answer depends not only on scientific developments but also on the willingness to address the problem of structural injustice. One important step is to confront the problem of underrepresentation of certain populations in PM cohorts via improved research inclusivity. Yet, we argue that the perspective needs to be broadened because the (in)equitable effects of PM are also strongly contingent on wider structural factors and prioritization of healthcare strategies and resources. When (and before) implementing PM, it is crucial to attend to how the organisation of healthcare systems influences who will benefit, as well as whether PM may present challenges for a solidaristic sharing of costs and risks. We discuss these issues through a comparative lens of healthcare models and PM-initiatives in the United States, Austria, and Denmark. The analysis draws attention to how PM hinges on—and simultaneously affects—access to healthcare services, public trust in data handling, and prioritization of healthcare resources. Finally, we provide suggestions for how to mitigate foreseeable negative effects. Springer Netherlands 2023-05-25 2023 /pmc/articles/PMC10212228/ /pubmed/37231234 http://dx.doi.org/10.1007/s11019-023-10158-8 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Scientific Contribution Green, Sara Prainsack, Barbara Sabatello, Maya Precision medicine and the problem of structural injustice |
title | Precision medicine and the problem of structural injustice |
title_full | Precision medicine and the problem of structural injustice |
title_fullStr | Precision medicine and the problem of structural injustice |
title_full_unstemmed | Precision medicine and the problem of structural injustice |
title_short | Precision medicine and the problem of structural injustice |
title_sort | precision medicine and the problem of structural injustice |
topic | Scientific Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212228/ https://www.ncbi.nlm.nih.gov/pubmed/37231234 http://dx.doi.org/10.1007/s11019-023-10158-8 |
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