E-health for Self-Management of Chronic Pain

The investigators aim to validate if a digital tool for increased self-management of chronic pain can improve the quality of life for patients with chronic pain. The validation is based on the change in pain interference (Quality of life), pain intensity, physical functioning, depression, and anxiety based on self-reported information from baseline to study end.

Chronic pain is today an increasing health problem in both Europe and US, with an estimation of about 90 million people affected in Europe (Breivik, H. et al., 2006) and 100 million people in US (Relieving Pain in America, IOM Report 2011), or 20-30% of the adult population around the world. Chronic pain is defined as a condition that lasts for at least three to six months, after the normal healing period of an injury. Medical interventions offered in clinics around the globe are unfortunately not giving the results needed to give back the quality of life the patients had prior to the onset of the pain. The treatments offered today do sometimes reduce pain, but the effect is minor, and new treatment regimens are needed (Relieving Pain in America, 2011). Recent quality assurance registry measurements in Sweden has shown that patient taken part of multi modal treatment regimens, such as the acceptance and commitment therapy, (ACT) show that less then 40% of the patients have a decline in the pain level of 1 level on the VAS scale, 55% has no effect and 9 % has an increased level of pain after going through the program (Nationel Register for Pain Rehabilitation, Sweden 2017) The study objective is to evaluate how the use of a digital pain coach, based on artificial intelligence that improves the self-management of pain will decrease the pain interference and thereby increase QoL among chronic pain patients, as measured by PROMIS pain interference 6a. We will here compare the improvement of quality of life by a decrease in pain interference, measured by PROMIS, in patients who follow their traditional treatment plan provided by the Pain Clinic with the addition of using a web application for increased self management of pain. The theory behind the study and the development of the device is supported by previously known data, showing that self-management has an effect and is important to the treatment by helping patients to believe in their own capacity to control their pain. The present investigation aims at exploring the effect of including a digital tool as an add on to standard treatment and rehabilitation and will measure the effect it has on: 1. Decreased pain interference 2. Improved management of long-term pain and its consequences. Hence self-management of pain 3. Increased function in daily life with the best possible activity and participation level 4. Improved experience of health-related quality of life 5. Decreased pain experience