Get your members to take active ownership of their low back pain management using the SelfBack app and significantly improve their treatment.Contact our team
Through an extensive randomized controlled trial, SelfBack has a documentable and significant effect on patients with non-specific low back pain, and can thus contribute to a major improvement in the physical condition.
39% reduction in max pain
14% better self-management of pain
38% reduction in average pain
SelfBack is the only back app on the Danish market with clinical evidence. Watch the video and understand this means for you.
Throughout the years, SelfBack has had the honor of working with some of the biggest international contributors and actors within health and health insurance.
Members who actively engage in self-management of their low back pain have a significantly increased chance of a positive effect of their treatment. Demand and help your members with this with the help of SelfBack's documentable effect!
SelfBack is an advanced self-management system that is built on the latest knowledge in the treatment of low back pain. Therefore, a close collaboration with research environments and our artificial intelligence ensures a constantly updated database of knowledge and treatment plans, which ensures the absolute best possible treatment.
SelfBack prepares a personal self-management program that includes a training plan and educational materials, all updated and adjusted on a weekly basis based on the user's abilities and progress.
SelfBack consists of the following three key components:
SelfBack measures the number of steps the member has taken on a daily basis. Each day a daily goal is set, which SelfBack motivates the member to achieve.
Informative articles and daily educational content, tailored to each individual, contributing to achieving optimal self-mastery during the treatment process.
Weekly updated and personalized training programs ensure that only the most relevant and best exercises are offered.
The cornerstone of SelfBack's treatment support is the artificial intelligence, which, through a large catalog of previously successful treatments, finds the best match for the individual member. Thereby, the member is offered a course that is tailored to a large number of parameters and has a demonstrable effect.
The artificial intelligence continuously makes adjustments based on the member's own inputs and will therefore always offer the safest, best and most optimal treatment.
Longer-term studies have shown that people who have lower back problems often have relapses throughout their lives. However, the system often treats the problem as a one-off, and not a condition that can come back later.
By educating the user in self-mastery and managing the pain through good habits, the risk of relapse is reduced, and it increases the user's ability to deal with small relapses without significant difference in the ability to function in daily life.
As a clinician or health insurance provider, it is expected that the treatments given take place in accordance with the relevant clinical guidelines for optimal treatment. The problem is that using a third party reduces the possibility of securing this.
Since SelfBack is based on the National Clinical Guidelines, you can feel absolutely sure that the treatment paid for is delivered to everyone, everywhere and always in accordance with the relevant national clinical guidelines for low back pain.
SelfBack has been tested in the clinical use situations that are part of a treatment course, and is continuously adapted to user and clinician feedback.
The artificial intelligence in SelfBack always offers the best possible treatment plan for the user by continuously comparing previous successful treatment courses to find the best possible treatment route with the best effect.
The team behind SelfBack consists of some of the world's leading researchers in the musculoskeletal field, who contribute to latest knowledge and best practice in the field.
Since the start of the SelfBack project in 2016, several major publications and articles have been published that shed light on the effect of SelfBack. A long series of new publications and articles are in the pipeline, which will be published continuously.