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Robotics technology for pain treatment and management: A review

Higgins, Angela; Llewellyn, Alison; Dures, Emma; Caleb-Solly, Praminda

Authors

Angela Higgins

Profile Image

Alison Llewellyn Alison.Llewellyn@uwe.ac.uk
Associate Professor in Clinical Research

Emma Dures Emma2.Dures@uwe.ac.uk
Professor in Rheumatology and Self-management

Praminda Caleb-Solly



Contributors

Filippo Cavallo
Editor

ohn-John Cabibihan
Editor

Laura Fiorini
Editor

Alessandra Sorrentino
Editor

Hongsheng He
Editor

Xiaorui Liu
Editor

Yoshio Matsumoto
Editor

Shuzhi Sam Ge
Editor

Abstract

The use of robots for pain management is a new and active research field. The aim of this scoping review is to identify current research, which groups or conditions are being targeted for treatment, which devices are being used, and how effective they have been. Using the PRISMA protocol for scoping reviews, papers were identified using university libraries, Google scholar and additional databases relating to healthcare or engineering including AMED, NICE Evidence, and OTSeeker. Included were articles involved user trials of a robot or device to manage or alleviate pain, with a quantitative measure of pain or pain anxiety. 17 articles were analysed, of which 12 reported statistically significant improvement of pain measures. The scope and trial design of these articles varied widely. Most devices used were socially assistive robots, with others using robots for physical therapy. Most robots were used for treatment of procedural pain. Others addressed chronic pain, particularly in people with dementia. A variety of established pain measurement techniques were used to quantify difference in perceived pain or pain anxiety. There may be benefits to using some robotic technologies to manage pain for both acute and chronic pain conditions, within certain populations. However, this research field is still new, and more studies are required to demonstrate efficacy. Future studies should look to use methodologies from clinical trials to improve the quality of their results.

Citation

Higgins, A., Llewellyn, A., Dures, E., & Caleb-Solly, P. (2023). Robotics technology for pain treatment and management: A review. In F. Cavallo, O. Cabibihan, L. Fiorini, A. Sorrentino, H. He, X. Liu, …. S. S. Ge (Eds.), Social Robotics: 14th International Conference, ICSR 2022, Florence, Italy, December 13–16, 2022, Proceedings, Part I (534-545). https://doi.org/10.1007/978-3-031-24667-8_47

Conference Name 14th International Conference, ICSR 2022, Florence, Italy, December 13–16, 2022
Conference Location Florence, Italy
Start Date Dec 13, 2022
End Date Dec 16, 2022
Acceptance Date Oct 14, 2022
Online Publication Date Feb 1, 2023
Publication Date Feb 1, 2023
Deposit Date Feb 24, 2023
Publicly Available Date Feb 2, 2025
Publisher Springer
Pages 534-545
Series Title Lecture Notes in Computer Science
Series Number LNAI, 13817
Series ISSN 0302-9743; 1611-3349
Book Title Social Robotics: 14th International Conference, ICSR 2022, Florence, Italy, December 13–16, 2022, Proceedings, Part I
Chapter Number 47
ISBN 9783031246661
DOI https://doi.org/10.1007/978-3-031-24667-8_47
Keywords Pain; Pain management; Robotics; Socially assistive robots
Public URL https://uwe-repository.worktribe.com/output/10474285
Publisher URL https://link.springer.com/chapter/10.1007/978-3-031-24667-8_47
Related Public URLs https://link.springer.com/book/10.1007/978-3-031-24667-8

https://www.springer.com/series/558

https://www.icsr2022.it/