Literature DB >> 29734997

Consumer Sleep Technology: An American Academy of Sleep Medicine Position Statement.

Seema Khosla1, Maryann C Deak2, Dominic Gault3, Cathy A Goldstein4, Dennis Hwang5, Younghoon Kwon6, Daniel O'Hearn7, Sharon Schutte-Rodin8, Michael Yurcheshen9, Ilene M Rosen8, Douglas B Kirsch10, Ronald D Chervin4, Kelly A Carden11, Kannan Ramar12, R Nisha Aurora13, David A Kristo14, Raman K Malhotra15, Jennifer L Martin16,17, Eric J Olson12, Carol L Rosen18, James A Rowley19.   

Abstract

ABSTRACT: Consumer sleep technologies (CSTs) are widespread applications and devices that purport to measure and even improve sleep. Sleep clinicians may frequently encounter CST in practice and, despite lack of validation against gold standard polysomnography, familiarity with these devices has become a patient expectation. This American Academy of Sleep Medicine position statement details the disadvantages and potential benefits of CSTs and provides guidance when approaching patient-generated health data from CSTs in a clinical setting. Given the lack of validation and United States Food and Drug Administration (FDA) clearance, CSTs cannot be utilized for the diagnosis and/or treatment of sleep disorders at this time. However, CSTs may be utilized to enhance the patient-clinician interaction when presented in the context of an appropriate clinical evaluation. The ubiquitous nature of CSTs may further sleep research and practice. However, future validation, access to raw data and algorithms, and FDA oversight are needed.
© 2018 American Academy of Sleep Medicine.

Entities:  

Keywords:  consumer sleep technology; patient-generated health data (PGHD); polysomnography

Mesh:

Year:  2018        PMID: 29734997      PMCID: PMC5940440          DOI: 10.5664/jcsm.7128

Source DB:  PubMed          Journal:  J Clin Sleep Med        ISSN: 1550-9389            Impact factor:   4.062


  4 in total

Review 1.  Consumer Sleep Technologies: A Review of the Landscape.

Authors:  Ping-Ru T Ko; Julie A Kientz; Eun Kyoung Choe; Matthew Kay; Carol A Landis; Nathaniel F Watson
Journal:  J Clin Sleep Med       Date:  2015-12-15       Impact factor: 4.062

2.  Accuracy of a smartphone application in estimating sleep in children.

Authors:  Pious Patel; Ji Young Kim; Lee J Brooks
Journal:  Sleep Breath       Date:  2016-10-22       Impact factor: 2.816

3.  Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients. Portable Monitoring Task Force of the American Academy of Sleep Medicine.

Authors:  Nancy A Collop; W McDowell Anderson; Brian Boehlecke; David Claman; Rochelle Goldberg; Daniel J Gottlieb; David Hudgel; Michael Sateia; Richard Schwab
Journal:  J Clin Sleep Med       Date:  2007-12-15       Impact factor: 4.062

4.  Rate My Sleep: Examining the Information, Function, and Basis in Empirical Evidence Within Sleep Applications for Mobile Devices.

Authors:  Peta A Lee-Tobin; Rowan P Ogeil; Michael Savic; Dan I Lubman
Journal:  J Clin Sleep Med       Date:  2017-11-15       Impact factor: 4.062

  4 in total
  49 in total

Review 1.  Change is the Only Constant in Life (and in Sleep Medicine).

Authors:  Ilene M Rosen
Journal:  J Clin Sleep Med       Date:  2018-06-15       Impact factor: 4.062

2.  Public Awareness, Medical Integration, and Innovation in Sleep Medicine.

Authors:  Douglas B Kirsch; Seema Khosla
Journal:  J Clin Sleep Med       Date:  2019-05-15       Impact factor: 4.062

Review 3.  The future of sleep health: a data-driven revolution in sleep science and medicine.

Authors:  Ignacio Perez-Pozuelo; Bing Zhai; Joao Palotti; Raghvendra Mall; Michaël Aupetit; Juan M Garcia-Gomez; Shahrad Taheri; Yu Guan; Luis Fernandez-Luque
Journal:  NPJ Digit Med       Date:  2020-03-23

Review 4.  Smartphone Applications to Support Sleep Self-Management: Review and Evaluation.

Authors:  Yong K Choi; George Demiris; Shih-Yin Lin; Sarah J Iribarren; Carol A Landis; Hilaire J Thompson; Susan M McCurry; Margaret M Heitkemper; Teresa M Ward
Journal:  J Clin Sleep Med       Date:  2018-10-15       Impact factor: 4.062

5.  Will Consumer Sleep Technologies Change the Way We Practice Sleep Medicine?

Authors:  Nathaniel F Watson; Colin Lawlor; Roy J E M Raymann
Journal:  J Clin Sleep Med       Date:  2019-01-15       Impact factor: 4.062

6.  Consumer Sleep Technologies: How to Balance the Promises of New Technology with Evidence-Based Medicine and Clinical Guidelines.

Authors:  Seema Khosla; Maryann C Deak; Dominic Gault; Cathy A Goldstein; Dennis Hwang; Younghoon Kwon; Daniel O'Hearn; Sharon Schutte-Rodin; Michael Yurcheshen; Douglas B Kirsch
Journal:  J Clin Sleep Med       Date:  2019-01-15       Impact factor: 4.062

Review 7.  Sensors Capabilities, Performance, and Use of Consumer Sleep Technology.

Authors:  Massimiliano de Zambotti; Nicola Cellini; Luca Menghini; Michela Sarlo; Fiona C Baker
Journal:  Sleep Med Clin       Date:  2020-01-03

8.  Consumer sleep technology: accuracy and impact on behavior among healthy individuals.

Authors:  Seema Khosla; Emerson M Wickwire
Journal:  J Clin Sleep Med       Date:  2020-03-25       Impact factor: 4.062

9.  A standardized framework for testing the performance of sleep-tracking technology: step-by-step guidelines and open-source code.

Authors:  Luca Menghini; Nicola Cellini; Aimee Goldstone; Fiona C Baker; Massimiliano de Zambotti
Journal:  Sleep       Date:  2021-02-12       Impact factor: 5.849

10.  Artificial intelligence in sleep medicine: background and implications for clinicians.

Authors:  Cathy A Goldstein; Richard B Berry; David T Kent; David A Kristo; Azizi A Seixas; Susan Redline; M Brandon Westover
Journal:  J Clin Sleep Med       Date:  2020-04-15       Impact factor: 4.062

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