Vitali, Diego;
Olugbade, Temitayo;
Keogh, Edmund;
Eccleston, Christopher;
Bianchi-Berthouze, Nadia;
Williams, Amanda;
(2024)
Sensing behavior change in chronic pain: a scoping review of sensor technology for use in daily life.
Pain
, 195
(6)
pp. 1348-1360.
10.1097/j.pain.0000000000003134.
Preview |
Text
Berthouze_sensing_behavior_change_in_chronic_pain__a_scoping.16.pdf Download (578kB) | Preview |
Abstract
Technology offers possibilities for quantification of behaviors and physiological changes of relevance to chronic pain, using wearable sensors and devices suitable for data collection in daily life contexts. We conducted a scoping review of wearable and passive sensor technologies that sample data of psychological interest in chronic pain, including in social situations. Sixty articles met our criteria from the 2783 citations retrieved from searching. Three-quarters of recruited people were with chronic pain, mostly musculoskeletal, and the remainder with acute or episodic pain; those with chronic pain had a mean age of 43 (few studies sampled adolescents or children) and 60% were women. Thirty-seven studies were performed in laboratory or clinical settings and the remainder in daily life settings. Most used only 1 type of technology, with 76 sensor types overall. The commonest was accelerometry (mainly used in daily life contexts), followed by motion capture (mainly in laboratory settings), with a smaller number collecting autonomic activity, vocal signals, or brain activity. Subjective self-report provided “ground truth” for pain, mood, and other variables, but often at a different timescale from the automatically collected data, and many studies reported weak relationships between technological data and relevant psychological constructs, for instance, between fear of movement and muscle activity. There was relatively little discussion of practical issues: frequency of sampling, missing data for human or technological reasons, and the users' experience, particularly when users did not receive data in any form. We conclude the review with some suggestions for content and process of future studies in this field.
| Type: | Article |
|---|---|
| Title: | Sensing behavior change in chronic pain: a scoping review of sensor technology for use in daily life |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1097/j.pain.0000000000003134 |
| Publisher version: | https://doi.org/10.1097/j.pain.0000000000003134 |
| Language: | English |
| Additional information: | Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the International Association for the Study of Pain. This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Pain impact, Automated data collection, Wearable technology |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10184151 |
Archive Staff Only
 |
View Item |
