The Effects of Auricular Acupressure on Low Back Pain, Neuropathy and Sleep in Patients with Persistent Spinal Pain Syndrome (PSPS): A Single-Blind, Randomized Placebo-Controlled Trial.
Yunmi LimHyojung ParkPublished in: International journal of environmental research and public health (2023)
(1) Background: Various procedures were performed on patients with persistent spinal pain syndrome (PSPS), but the clinical effect and safety were insufficient. The study was to examine the effects of auricular acupressure (AA) on low back pain, neuropathy, and sleep in patients on PSPS. (2) Methods: This was a randomized, single-blind, placebo-controlled study conducted from 1 March 2022 to 31 July 2022. The participants who had at least one lumbar surgery were randomly assigned to either the experimental group ( n = 26) or the placebo control group ( n = 25). All participants received 6 weeks of AA intervention. To validate the effects of the intervention, pressure pain thresholds (PPT), the Visual Analogue Scale (VAS), douleur neuropathique 4 (DN4) questions, the Pittsburgh Sleep Quality Index (PSQI), and actigraphy with a Fitbit Alta were conducted. The data were analyzed with SPSS/WIN ver. 27.0, using a t -test and repeated-measures ANOVA. (3) Results: The findings showed that there were significant differences in pain (back VAS p = 0.003, leg VAS p = 0.002, PPT p = 0.008), neuropathy (DN4 p = 0.034), and sleep actigraphy (sleep efficiency p = 0.038, number of awake p = 0.001, deep sleep stage p = 0.017). (4) Conclusions: We conclude that AA is an effective, safe, cost-effective, non-invasive nursing intervention that can improve pain, neuropathy, and sleep in patients on PSPS.
Keyphrases
- sleep quality
- physical activity
- randomized controlled trial
- double blind
- chronic pain
- end stage renal disease
- depressive symptoms
- newly diagnosed
- ejection fraction
- minimally invasive
- chronic kidney disease
- spinal cord
- pain management
- healthcare
- placebo controlled
- peritoneal dialysis
- clinical trial
- prognostic factors
- coronary artery disease
- study protocol
- machine learning
- electronic health record
- phase iii
- patient reported outcomes
- acute coronary syndrome
- big data
- coronary artery bypass
- preterm birth
- open label
- quality improvement