Background <p>The increasing use of consumer technologies like health apps and wearables, particularly sleep trackers, is shaping many users’ understanding of sleep-related health. In addition to established diagnostic and follow-up procedures in sleep medicine, medical devices, digital health applications, and numerous lifestyle gadgets are available. As a&#xa0;result, the boundaries between consumer technologies and regulated medical devices are increasingly blurred, for example, through certified smartwatch functions, while substantial differences in validity, transparency, and regulatory classification persist.</p> Objective <p>To present the challenging landscape between established and consumer-based technologies in sleep medicine and to discuss the reasonable and responsible integration of self-generated sleep data into clinical decision-making while taking into consideration their limitations.</p> Materials and methods <p>A&#xa0;selective review and contextualization of regulatory and technical aspects as well as the measurement quality of digital sleep technologies.</p> Results <p>Sleep data derived from consumer technologies can be thoughtfully integrated into clinical communication but should be critically appraised to avoid misinterpretation resulting from the variable measurement quality of the sensors used and to prevent concerns regarding orthosomnia. Orthosomnia describes a&#xa0;clinically relevant, yet nondiagnostic fixation on ostensibly optimal sleep metrics.</p> Conclusion <p>A&#xa0;structured clinical counselling approach is recommended that contextualizes digital sleep data, considers subjective perceptions, and supports personalized follow-up care.</p>

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Schlaftracking – Fluch oder Segen?

  • Alina Wildenauer,
  • Sarah Dietz-Terjung,
  • Lisa Galland,
  • Cynthia Schmidt,
  • Aurelia Hienzsch,
  • Torsten Eggert,
  • Christoph Schöbel

摘要

Background

The increasing use of consumer technologies like health apps and wearables, particularly sleep trackers, is shaping many users’ understanding of sleep-related health. In addition to established diagnostic and follow-up procedures in sleep medicine, medical devices, digital health applications, and numerous lifestyle gadgets are available. As a result, the boundaries between consumer technologies and regulated medical devices are increasingly blurred, for example, through certified smartwatch functions, while substantial differences in validity, transparency, and regulatory classification persist.

Objective

To present the challenging landscape between established and consumer-based technologies in sleep medicine and to discuss the reasonable and responsible integration of self-generated sleep data into clinical decision-making while taking into consideration their limitations.

Materials and methods

A selective review and contextualization of regulatory and technical aspects as well as the measurement quality of digital sleep technologies.

Results

Sleep data derived from consumer technologies can be thoughtfully integrated into clinical communication but should be critically appraised to avoid misinterpretation resulting from the variable measurement quality of the sensors used and to prevent concerns regarding orthosomnia. Orthosomnia describes a clinically relevant, yet nondiagnostic fixation on ostensibly optimal sleep metrics.

Conclusion

A structured clinical counselling approach is recommended that contextualizes digital sleep data, considers subjective perceptions, and supports personalized follow-up care.