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Abstract
Whilst. pharmacological therapies remain the cornerstone of pain management in chronic pain, factors including the current opioid epidemic have led to non-pharmacological techniques becoming a more attractive proposition. We explored the prevalence of medical device use and their treatment efficacy in non-cancer pain management. A systematic methodology was developed, peer reviewed and published in PROSPERO (CRD42021235384). Key words of medical device, pain management devices, chronic pain, lower back pain, back pain, leg pain and chronic pelvic pain using Science direct, PubMed, Web of Science, PROSPERO, MEDLINE, EMBASE, PorQuest and ClinicalTrials.gov. All clinical trials, epidemiology and mixed methods studies that reported the use of medical devices for non-cancer chronic pain management published between the 1st of January 1990 and the 30th of April 2022 were included. 13 studies were included in systematic review, of these 6 were used in the meta-analysis. Our meta-analysis for pain reduction showed that transcutaneous electrical nerve stimulation combined with instrument-assisted soft tissue mobilization treatment and pulsed electromagnetic therapy produced significant treatment on chronic lower back pain patients. Pooled evidence revealed the use of medical device related interventions resulted in 0.7 degree of pain reduction under a 0–10 scale. Significant improvement in disability scores, with a 7.44 degree reduction in disability level compared to a placebo using a 50 score range was also seen. Our analysis has shown that the optimal use of medical devices in a sustainable manner requires further research, needing larger cohort studies, greater gender parity, in a more diverse range of geographical locations.
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1 University College London Hospitals NHS Foundation Trust, London, UK (GRID:grid.52996.31) (ISNI:0000 0000 8937 2257); University College London, London, UK (GRID:grid.83440.3b) (ISNI:0000 0001 2190 1201); Digital Evidence Based Medicine Lab, Oxford, UK (GRID:grid.83440.3b)
2 University of Oxford, Nuffield Department of Primary Care Health Sciences, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948); Digital Evidence Based Medicine Lab, Oxford, UK (GRID:grid.4991.5)
3 Southern University of Science and Technology, Shenzhen, China (GRID:grid.263817.9) (ISNI:0000 0004 1773 1790)
4 University College London Hospitals NHS Foundation Trust, London, UK (GRID:grid.52996.31) (ISNI:0000 0000 8937 2257)
5 Southern Health NHS Foundation Trust, Southampton, UK (GRID:grid.467048.9) (ISNI:0000 0004 0465 4159)
6 Southern University of Science and Technology, Shenzhen, China (GRID:grid.263817.9) (ISNI:0000 0004 1773 1790); Yunnan University of Finance and Economics, School of Statistics and Mathematics, Kunming, China (GRID:grid.464506.5) (ISNI:0000 0000 8789 406X)
7 Sultan Qaboos University, College of Medicine and Health Sciences, Muscat, Oman (GRID:grid.412846.d) (ISNI:0000 0001 0726 9430)
8 University of Oxford, Nuffield Department of Medicine, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948)
9 University of Southampton, Psychology Department, Faculty of Environmental and Life Sciences, Southampton, UK (GRID:grid.5491.9) (ISNI:0000 0004 1936 9297); Southern Health NHS Foundation Trust, Southampton, UK (GRID:grid.467048.9) (ISNI:0000 0004 0465 4159); Digital Evidence Based Medicine Lab, Oxford, UK (GRID:grid.467048.9)
10 Southern University of Science and Technology, Shenzhen, China (GRID:grid.263817.9) (ISNI:0000 0004 1773 1790); Southern Health NHS Foundation Trust, Southampton, UK (GRID:grid.467048.9) (ISNI:0000 0004 0465 4159); National Centre for Applied Mathematics Shenzhen, Shenzhen, China (GRID:grid.467048.9); Digital Evidence Based Medicine Lab, Oxford, UK (GRID:grid.467048.9)
11 West Virginia University Hospitals, The Spine and Nerve Center of the Virginias, Charleston, USA (GRID:grid.412950.b) (ISNI:0000 0004 0455 5644)