Accuracy of Wearable Devices for Estimating Total Energy Expenditure: Comparison With Metabolic Chamber and Doubly Labeled Water Method
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The hope is that the focus on moving to more valuebased payment models will begin to bring in more measures of the effects this has on patient outcomes, which are the most important measure of the effects of changes in the use of health care services.That, along with the focus on comparative effectiveness analysis, which attempts to provide information on the differential clinical effects of using various interventions and treatment agents on different types of patients, should improve the ability to treat patients in a more clinically and cost-effective manner.To say that much remains in the path to accomplishing the objectives associated with value-based payment models is an understatement.However, this analysis suggests that the move to reduce overvalued payments can have differentiated effects, reducing the use of a procedure by physicians and other health care professionals who are not trained to use it while maintaining similar levels of its use by those who are trained in the use of the procedure.The CMS should consider using this strategy for other potentially overvalued services, particularly those that have a high cost, such as the use of proton beam therapy, which is a very expensive intervention with little clinical evidence supporting its use. 4
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Nine studies (22 comparisons) examined energy expenditure in free-living settings compared with doubly labeled water and accelerometry.
“Nine studies (22 comparisons) examined energy expenditure in free-living settings compared with the criterion measures of doubly labeled water [104] and accelerometry [29,49,79,101,131,172,174,175].”
From Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review (2020) · cites this paper as [104]
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- Role of the Funder/Sponsor: AMED had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
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- Authors
- Murakami, H., Kawakami, R., Nakae, S., Nakata, Y., Ishikawa-Takata, K., Tanaka, S., & Miyachi, M.
- Affiliations
- National Institute of Biomedical Innovation, Health and Nutrition (JP)
- Waseda University (JP)
- University of Tsukuba (JP)
- Department of Health Promotion and Exercise, National Institute of Health and Nutrition, NIBIOHN, Tokyo, Japan
- Corresponding author
- Miyachi, Motohiko
- Venue
- JAMA Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2016-05-01
- Volume
- 176
- Issue
- 5
- Pages
- 702
- ISSN
- 2168-6106 (ISSN-L)
- OpenAlex
- W2309389238
- Cited by
- 204
- References
- 8
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 14 · 2023: 23 · 2022: 13 · 2021: 22 · 2020: 26 · 2019: 29 · 2018: 29 · 2017: 12 · 2016: 12
- FWCI
- 21.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Aetna Foundation
- American Heart Association
- National Institutes of Health
- Japan Society for the Promotion of Science (15H06675, 26249073)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- wearable devices, total energy expenditure, physical activity monitoring, value-based payment models, proton therapy, health care costs
- MeSH terms
- Wearable Electronic Devices, Adult, Energy Metabolism, Female, Humans, Male, Middle Aged, Reproducibility of Results, Young Adult
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