Wearable electronic devices for chronic pain intensity assessment: A systematic review
- PMID: 34080306
- DOI: 10.1111/papr.13047
Wearable electronic devices for chronic pain intensity assessment: A systematic review
Abstract
Wearable electronic devices are a convenient solution to pain intensity assessment as they can provide continuous monitoring for more precise medication adjustments. However, there is little evidence regarding the use of wearable electronic devices for chronic pain intensity assessment. Our primary objective was to examine the physiologic parameters used by wearable electronic devices for chronic pain intensity assessment. We initially inquired PubMed, CINAHL, and Embase for studies evaluating the use of wearable electronic devices for chronic pain intensity assessment. We updated our inquiry by searching on PubMed, Embase, Scopus, and Google Scholar. English peer-reviewed studies were included, with no exclusions based on time frame or publication status. Of 348 articles that were identified on the first inquiry, 8 fulfilled the eligibility criteria. Of 179 articles that were identified on the last inquiry, only 1 fulfilled the eligibility criteria. We found articles evaluating wristbands, smartwatches, and belts. Parameters evaluated were psychomotor and sleep patterns, space and time mobility, heart rate variability, and skeletal muscle electrical activity. Most of the studies found significant positive associations between physiological parameters measured by wearable electronic devices and self-reporting pain scales. Wearable electronic devices reliably reflect physiologic or biometric parameters, providing a physiological correlation for pain. Early stage investigation suggests that the degree of pain intensity can be discerned, which ideally will reduce the bias inherent to existing numeric/verbal scales. Further research on the use of these devices is vital.
Keywords: Chronic pain; pain intensity assessment; sensor technology; wearable electronic devices.
© 2021 World Institute of Pain.
References
REFERENCES
-
- Bolger N, Davis A, Rafaeli E. Diary methods: capturing life as it is lived. Annu Rev Psychol. 2003;54:579-616.
-
- Amorim AB, Pappas E, Simic M, Ferreira ML, Jennings M, Tiedemann A, et al. Integrating Mobile-health, health coaching, and physical activity to reduce the burden of chronic low back pain trial (IMPACT): a pilot randomised controlled trial. BMC Musculoskelet Disord. 2019;20(1):71.
-
- Chu Y, Zhao X, Han J, Su Y. Physiological signal-based method for measurement of pain intensity. Front Neurosci. 2017;11:279.
-
- Law CJ, Sleight JW, Barnard JP, MacColl JN. The association between intraoperative electroencephalogram-based measures and pain severity in the post-anaesthesia care unit. Anaesth Intensive Care. 2011;39(5):875-80.
-
- Ling P, Siyuan Y, Wei W, Quan G, Bo G. Assessment of postoperative pain intensity by using photoplethysmography. J Anesth. 2014;28(6):846-53.
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