Calthorpe, RJ, Smith, S, Gathercole, K orcid.org/0000-0002-7948-2764 et al. (1 more author) (2020) Using digital technology for home monitoring, adherence and self-management in cystic fibrosis: a state-of-the-art review. Thorax, 75 (1). pp. 72-77. ISSN 0040-6376
Abstract
Digital healthcare is a rapidly growing healthcare sector. Its importance has been recognised at both national and international level, with the WHO recently publishing its first global strategy for digital health. The use of digital technology within cystic fibrosis (CF) has also increased. CF is a chronic, life-limiting condition, in which the treatment burden is high and treatment regimens are not static. Digital technologies present an opportunity to support the lives of people with CF. We included 59 articles and protocols in this state-of-the-art review, relating to 48 studies from 1999 until 2019. This provides a comprehensive overview of the expansion and evolution of the use of digital technology. Technology has been used with the aim of increasing accessibility to healthcare, earlier detection of pulmonary exacerbations and objective electronic adherence monitoring. It may also be used to promote adherence and self-management through education, treatment management Apps and social media.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ. This is an author produced version of an article published in Thorax. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Education, Social Sciences and Law (Leeds) > School of Education (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Oct 2019 15:53 |
Last Modified: | 02 Apr 2020 14:14 |
Status: | Published |
Publisher: | BMJ Publishing Group |
Identification Number: | 10.1136/thoraxjnl-2019-213233 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:152239 |
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