Clinical and Quality of Life Benefits for End-Stage Workers' Compensation Chronic Pain Claimants following H-Wave(R) Device Stimulation: A Retrospective Observational Study with Mean 2-Year Follow-Up

Date
2023-02-01
Authors
Trinh, Alan
Williamson, Tyler K.
Han, David
Hazlewood, Jeffrey E.
Norwood, Stephen M.
Gupta, Ashim
Journal Title
Journal ISSN
Volume Title
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Abstract

Previously promising short-term H-Wave(R) device stimulation (HWDS) outcomes prompted this retrospective cohort study of the longer-term effects on legacy workers' compensation chronic pain claimants. A detailed chart-review of 157 consecutive claimants undergoing a 30-day HWDS trial (single pain management practice) from February 2018 to November 2019 compiled data on pain, restoration of function, quality of life (QoL), and polypharmacy reduction into a summary spreadsheet for an independent statistical analysis. Non-beneficial trials in 64 (40.8%) ended HWDS use, while 19 (12.1%) trial success charts lacked adequate data for assessing critical outcomes. Of the 74 final treatment study group charts, missing data points were removed for a statistical analysis. Pain chronicity was 7.8 years with 21.6 ± 12.2 months mean follow-up. Mean pain reduction was 35%, with 89% reporting functional improvement. Opioid consumption decreased in 48.8% of users and 41.5% completely stopped; polypharmacy decreased in 36.8% and 24.4% stopped. Zero adverse events were reported and those who still worked usually continued working. An overall positive experience occurred in 66.2% (p < 0.0001), while longer chronicity portended the risk of trial or treatment failure. Positive outcomes in reducing pain, opioid/polypharmacy, and anxiety/depression, while improving function/QoL, occurred in these challenging chronic pain injury claimants. Level of evidence: III

Description
Keywords
H-Wave®, electrotherapy, neurostimulation, quality of life, functional status, pain reduction, chronic pain, opioids, polypharmacy, workers’ compensation
Citation
Journal of Clinical Medicine 12 (3): 1148 (2023)
Department
Management Science and Statistics