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Digital Measures Development: Lessons Learned from an Expert Workshop Addressing Cross-Therapeutic Area Measures of Sleep.
- Source :
-
Digital biomarkers [Digit Biomark] 2024 Jul 04; Vol. 8 (1), pp. 132-139. Date of Electronic Publication: 2024 Jul 04 (Print Publication: 2024). - Publication Year :
- 2024
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Abstract
- Introduction: The Digital Measures Development: Core Measures of Sleep project, led by the Digital Medicine Society (DiMe), emphasizes the importance of sleep as a cornerstone of health and the need for standardized measurements of sleep and its disturbances outside the laboratory. This initiative recognizes the complex relationship between sleep and overall health, addressing it as both a symptom of underlying conditions and a consequence of therapeutic interventions. It aims to fill a crucial gap in healthcare by promoting the development of accessible, nonintrusive, and cost-effective digital tools for sleep assessment, focusing on factors important to patients, caregivers, and clinicians.<br />Methods: A central feature of this project was an expert workshop conducted on April 19th, 2023. The workshop convened stakeholders from diverse backgrounds, including regulatory, payer, industry, academic, and patient groups, to deliberate on the project's direction. This gathering focused on discussing the challenges and necessities of measuring sleep across various therapeutic areas, aiming to identify broad areas for initial focus while considering the feasibility of generalizing these measures where applicable. The methodological emphasis was on leveraging expert consensus to guide the project's approach to digital sleep measurement.<br />Results: The workshop resulted in the identification of seven key themes that will direct the DiMe Core Digital Measures of Sleep project and the broader field of sleep research moving forward. These themes underscore the project's innovative approach to sleep health, highlighting the complexity of omni-therapeutic sleep measurement and identifying potential areas for targeted research and development. The discussions and outcomes of the workshop serve as a roadmap for enhancing digital sleep measurement tools, ensuring they are relevant, accurate, and capable of addressing the nuanced needs of diverse patient populations.<br />Conclusion: The Digital Medicine Society's Core Measures of Sleep project represents a pivotal effort to advance sleep health through digital innovation. By focusing on the development of standardized, patient-centric, and clinically relevant digital sleep assessment tools, the project addresses a significant need in healthcare. The expert workshop's outcomes underscore the importance of collaborative, multi-stakeholder engagement in identifying and overcoming the challenges of sleep measurement. This initiative sets a new precedent for the integration of digital tools into sleep health research and practice, promising to improve outcomes for patients worldwide by enhancing our understanding and measurement of sleep.<br />Competing Interests: J.S.B. is an employee of NextSense, Inc. J.L.P. reverses a salary and is a minor shareholder in Eli Lilly. E.M. receives a salary from Stanford University and acts as a consultant/PI at the following companies: Takeda Pharmaceuticals, Avadel, Harmony Biosciences, Vanda Pharmaceuticals, Axsome Therapeutics, Eisai and Jazz Pharmaceuticals. R.M. receives a freelance salary from the Digital Medicine Society. M.A. receives a salary from Sleep Number Corp and is a shareholder in Phillips, Inc. and Sleep Number Corp. M.K. receives a salary from Bayer. C.M. receives a salary from the National Institutes of Health. J.P.B. reports financial interests in Philips, Signifier Medical Technologies, Apnimed, and Koneksa Health. P.F. is an employee of SeeingTheta and contracts with The Digital Medicine Society, IQVIA, Open Health, Sarepta Pharmaceuticals, and Clarivate.<br /> (© 2024 The Author(s). Published by S. Karger AG, Basel.)
Details
- Language :
- English
- ISSN :
- 2504-110X
- Volume :
- 8
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Digital biomarkers
- Publication Type :
- Academic Journal
- Accession number :
- 39015515
- Full Text :
- https://doi.org/10.1159/000539253