Tele- Yoga therapy for Patients with Chronic Pain during Covid-19 Lockdown: A Prospective Nonrandomized Single Arm Clinical Trial
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (ScreenIT)
Abstract
Background
Pain management services and support programs have been closed during pandemic. Self-management options, particularly for chronic pain, is required which can be undertaken at one’s own convenience and without leaving home.
Objectives
To evaluate the impact of tele-yoga therapy on patients suffering with chronic pain reducing pain intensity, disability, anxiety and depression.
Material and methods
In total 18 patients with different chronic pain diagnosis were recruited to individual yoga Therapy sessions twice a week at home (tele-yoga) using a videoconference app. Each participant followed set of practices every day at home. Main outcome measures included pain intensity, pain disability, anxiety and depression scores. Data were collected at baseline and after 6-weeks of intervention.
Results
There were significant improvement in pain intensity from Baseline to 6-weeks (P<0.001); also pain disability (P<0,001). Both scores of anxiety and depression reduced at the end of intervention period (P<0,001; P<0,001).
Conclusions
Pilot results suggest that tele-yoga therapy may be an effective tool to self-manage chronic pain and related functional and psychological impacts. Further larger studies, randomized, controlled trials are needed to confirm the preliminary outcome.
Trial Registration
ClinicalTrials.gov NCT04457388 ; https://clinicaltrials.gov/ct2/show/NCT04457388
Article activity feed
-
SciScore for 10.1101/2020.07.16.20154229: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources Statistical methods: MedCalc Statistical Software version 19.3.1 (MedCalc Software Ltd, Ostend, Belgium; https://www.medcalc.org; 2020) was used to conduct statistical analysis. MedCalcsuggested: (MedCalc, RRID:SCR_015044)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Small sample size and no control group are major limitations of the study. Further large clinical trial …
SciScore for 10.1101/2020.07.16.20154229: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources Statistical methods: MedCalc Statistical Software version 19.3.1 (MedCalc Software Ltd, Ostend, Belgium; https://www.medcalc.org; 2020) was used to conduct statistical analysis. MedCalcsuggested: (MedCalc, RRID:SCR_015044)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Small sample size and no control group are major limitations of the study. Further large clinical trial is needed to confirm the findings.
Results from TrialIdentifier: We found the following clinical trial numbers in your paper:
Identifier Status Title NCT04457388 Completed Tele-Yoga Therapy for Chronic Pain Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
-