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Improving chronic pain management with eHealth and mHealth: study protocol for a randomised controlled trial. | LitMetric

AI Article Synopsis

  • Chronic pain is a significant public health issue with rising treatment costs, and traditional assessment methods for patients may limit effective care.
  • This study explores a randomized control trial involving 250 chronic pain patients, comparing standard treatment to a tech-enhanced approach using a smartphone app for patients and a web application for physicians to improve pain management and treatment adjustments.
  • The research anticipates that the tech-assisted method will not only reduce pain intensity but also positively impact secondary outcomes like fatigue, mood, and overall quality of life, with ethical approval already secured for the study.

Article Abstract

Introduction: Chronic pain has become a matter of public health concern due to its high prevalence and because public costs associated with treatment and disability increase each year. Research suggests that limitations in the traditional assessment of chronic pain patients limit the effectiveness of current medical treatments. The use of technology might serve change patient traditional monitoring into ecological momentary assessments, which might be visualised by physicians live. This study describes a randomised control trial designed to test the utility of a technology-based solution for pain telemonitoring consisting of a smartphone app for patients and a web application for physicians. The goal of this study will be to explore whether this combination of eHealth and mHealth improves the effectiveness of existing pain treatments.

Methods And Analysis: Participants will be 250 patients randomly assigned to one of these two conditions: treatment-as-usual (TAU) and TAU +app+ web. All participants will receive the usual treatment for their pain. Only the TAU +app+ web group use Pain Monitor app, which generates alarms that are sent to the physicians in the face of previously established undesired events. Physicians will be able to monitor app reports using a web application, which might result in an adjustment of treatment. We anticipate that the use of Pain Monitor plus the therapist web will result in a reduction of pain intensity and side effects of the medication. Improvements on secondary outcomes, namely fatigue, mood, pain interference, rescue medication use and quality of life, are also expected. Mixed repeated-measure multivariate analyses of variances will be conducted to investigate whether there are differences between preassessment and postassessment scores as a function of the experimental condition.

Ethics And Dissemination: Ethical approval from the Hospital General Universitari de Castellon was obtained. The findings will be published in peer-reviewed journals.

Trial Registration Number: NCT03606265.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937108PMC
http://dx.doi.org/10.1136/bmjopen-2019-033586DOI Listing

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