Literature DB >> 29096919

Improving Patient Involvement in the Drug Development Process: Case Study of Potential Applications from an Online Peer Support Network.

Amrutha Anand1, Helen Jane Brandwood2, Matt Jameson Evans2.   

Abstract

To date, social media has been used predominantly by the pharmaceutical industry to market products and to gather feedback and comments on products from consumers, a process termed social listening. However, social media has only been used cautiously in the drug development cycle, mainly because of regulations, restrictions on engagement with patients, or a lack of guidelines for social media use from regulatory bodies. Despite this cautious approach, there is a clear drive, from both the industry and consumers, for increased patient participation in various stages of the drug development process. The authors use the example of HealthUnlocked, one of the world's largest health networks, to illustrate the potential applications of online health communities as a means of increasing patient involvement at various stages of the drug development process. Having identified the willingness of the user population to be involved in research, numerous ways to engage users on the platform have been identified and explored. This commentary describes some of these approaches and reports how online health networks that encourage people to share their experiences in managing their health can, in turn, enable rapid patient engagement for clinical research within the constraints of industry regulation.
Copyright © 2017 Elsevier HS Journals, Inc. All rights reserved.

Entities:  

Keywords:  online peer support network; patient centricity; patient voice; social media; user generated content

Mesh:

Year:  2017        PMID: 29096919     DOI: 10.1016/j.clinthera.2017.10.004

Source DB:  PubMed          Journal:  Clin Ther        ISSN: 0149-2918            Impact factor:   3.393


  2 in total

1.  Social media addiction and sexual dysfunction among Iranian women: The mediating role of intimacy and social support.

Authors:  Zainab Alimoradi; Chung-Ying Lin; Vida Imani; Mark D Griffiths; Amir H Pakpour
Journal:  J Behav Addict       Date:  2019-05-23       Impact factor: 6.756

2.  Public Perspectives of Using Social Media Data to Improve Adverse Drug Reaction Reporting: A Mixed-Methods Study.

Authors:  Alexander Bulcock; Lamiece Hassan; Sally Giles; Caroline Sanders; Goran Nenadic; Stephen Campbell; Will Dixon
Journal:  Drug Saf       Date:  2021-02-13       Impact factor: 5.606

  2 in total

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