The Efficacy and Compliance of Using A Smartphone Application in Treating Non-Specific Low Back Pain Among Office Employees: A Randomized Controlled Trial
The Efficacy and Compliance of Using A Smartphone Application in Treating Non-Specific Low Back Pain Among Office Employees: A Randomized Controlled Trial
Evaluating the efficacy of a newly developed self-monitored mobile application in reducing office workers low back pain.
II. Introduction and Hypothesis of the Study:
Around 12% to 33% of the adult workforce are affected by low back pain (LBP) each year. Furthermore 70% to 95% of the adults are predicted to have back pain at least once in their lifetime (Van Tulder et al., 2006, Karthikeyan et al., 2013). There are numerus applications for self-management of LBP. These applications provided patients with cost-effective alternative management for their LBP. However, most of these available applications are of a low quality, because they were developed without an evidence-based vision (Machado et al., 2016).
Hypothesis:
III. Aims of the study: This study aims to evaluate the efficacy and compliance in using a standardized evidence-based LBP application among office employees who suffer from non-specific LBP, in randomized controlled trial.
IV. Materials and Methods: A smartphone application will be programed to deliver home-based exercises and advices targeting LBPP. 30 participants who has LBP, had been at least 5 years office worker have a 5 hours of working, will be recruited for a randomized controlled trial, participants who have any spine or spinal cord disease will be excluded. Participants will be compared according who will get full access to the application for non-specific LBP management with those who will get a limited version of the application. Both groups will use their versions of the application for 6 weeks, a follow-up will be done after 6 weeks. Visual Analog Scale (VAS), will be used to assess intensity of the LBP, and Oswestry Disability Index (ODI) will be used to assess the disability that had been caused by LBP. Descriptive statistics will be represented in means and standard deviations. Change scores between groups (experimental vs control) will be compared using ANCOVA model.
Inclusion Criteria:
Exclusion Criteria: