Wearable Devices: Current Status and Opportunities in Pain Assessment and Management.

Accelerometry Ecological momentary assessment Pain Physical function Wearable devices mHealth

Journal

Digital biomarkers
ISSN: 2504-110X
Titre abrégé: Digit Biomark
Pays: Switzerland
ID NLM: 101707633

Informations de publication

Date de publication:
Historique:
received: 14 12 2020
accepted: 01 03 2021
entrez: 31 5 2021
pubmed: 1 6 2021
medline: 1 6 2021
Statut: epublish

Résumé

We investigated the possibilities and opportunities for using wearable devices that measure physical activity and physiometric signals in conjunction with ecological momentary assessment (EMA) data to improve the assessment and treatment of pain. We considered studies with cross-sectional and longitudinal designs as well as interventional or observational studies correlating pain scores with measures derived from wearable devices. A search was also performed on studies that investigated physical activity and physiometric signals among patients with pain. Few studies have assessed the possibility of incorporating wearable devices as objective tools for contextualizing pain and physical function in free-living environments. Of the studies that have been conducted, most focus solely on physical activity and functional outcomes as measured by a wearable accelerometer. Several studies report promising correlations between pain scores and signals derived from wearable devices, objectively measured physical activity, and physical function. In addition, there is a known association between physiologic signals that can be measured by wearable devices and pain, though studies using wearable devices to measure these signals and associate them with pain in free-living environments are limited. There exists a great opportunity to study the complex interplay between physiometric signals, physical function, and pain in a real-time fashion in free-living environments. The literature supports the hypothesis that wearable devices can be used to develop reproducible biosignals that correlate with pain. The combination of wearable devices and EMA will likely lead to the development of clinically meaningful endpoints that will transform how we understand and treat pain patients.

Identifiants

pubmed: 34056519
doi: 10.1159/000515576
pii: dib-0005-0089
pmc: PMC8138140
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

89-102

Subventions

Organisme : NIA NIH HHS
ID : T32 AG000247
Pays : United States

Informations de copyright

Copyright © 2021 by S. Karger AG, Basel.

Déclaration de conflit d'intérêts

Dr. Ciprian Crainiceanu is consulting with Bayer and Johnson and Johnson on methods development for wearable devices in clinical trials. The details of the contracts are disclosed through the Johns Hopkins University eDisclose system and have no direct or apparent relationship with this paper.

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Auteurs

Andrew Leroux (A)

Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, USA.

Rachael Rzasa-Lynn (R)

Department of Anesthesiology, University of Colorado, Aurora, Colorado, USA.

Ciprian Crainiceanu (C)

Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland, USA.

Tushar Sharma (T)

Department of Anesthesiology, University of Colorado, Aurora, Colorado, USA.

Classifications MeSH