Cited by 204Physical Activity and HealthMobile Health and mHealth ApplicationsContext-Aware Activity Recognition Systems

Accuracy of Wearable Devices for Estimating Total Energy Expenditure: Comparison With Metabolic Chamber and Doubly Labeled Water Method

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Murakami, Haruka, Kawakami, Ryoko, Nakae, Satoshi, Nakata, Yoshio, Ishikawa-Takata, Kazuko, Tanaka, Shigeho, Miyachi, Motohiko·2016·JAMA Internal Medicine

Abstract

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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  1. 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
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
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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