Virtual reality technology as a promising direction in the treatment of postoperative and posttraumatic pain

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OBJECTIVE

Chronic pain is an important multidisciplinary issue, as well as medical and social problem. Chronic pain affects the working capacity and quality of life of patients, their physical and mental health. The 11^th edition of the International Classification of Diseases officially enters into force in 2022. This classification contains a new definition of “chronic postoperative or posttraumatic pain”. New classification involves searching for modern trends in rehabilitation of these patients.

MATERIAL AND METHODS

We analyzed available materials posted in the PubMed, MEDLINE, eLibrary databases devoted to classification of chronic postoperative and posttraumatic pain, as well as new therapeutic directions for these patients.

RESULTS

Classification of chronic postoperative and posttraumatic pain in the ICD-11 contributes to improving the diagnosis of chronic pain and also involves searching for new rehabilitation measures and development of individual treatment approaches for these patients. Virtual reality technology is a modern non-pharmacological method for chronic pain relief. It is a perspective direction in the treatment of postoperative and posttraumatic pain, which is widely applied in other countries. However, this approach is rare in the Russian Federation.

CONCLUSION

It is necessary to analyze the optimal timing for virtual reality technology for relief of chronic postoperative and posttraumatic pain. A personalized virtual reality environment for each patient with chronic postoperative and posttraumatic pain is required to improve the analgesic effect. It is necessary to stimulate researches, as well as to make changes in medical care standards regarding virtual reality technology in the treatment of postoperative and posttraumatic pain.

Keywords:

virtual reality technology

chronic pain

ICD-11

classification of chronic pain

Authors:

Bofanova N.S.

Penza State University

ORCID: 0000-0002-5455-4987

Tychkov A.Yu.

Penza State University

ORCID: 0000-0002-2354-2895

Dyatlov A.V.

Penza State University

Chernyshov D.S.

Penza State University

Nazarychev A.P.

Penza State University

Received:

25.01.2022

Accepted:

04.02.2022

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