The Science

Leading hospitals and pain specialists in Scandinavia and in USA have contributed to the development of PainDrainer.

Your daily activities affect your level of pain. By understanding the connection between different activities and your pain level, you can more easily plan your day and have energy left for what is valuable to you.

PainDrainer is based on scientifically proven praxis used by leading pain clinics around the world.

PainDrainer helps you understand how your daily activities affect your pain level, using advanced calculations, based on artificial intelligence.

Increased Quality of Life and reduced Pain Intensity

PainDrainer’s pilot study at the University of California San Diego Health Science showed a significant decrease in pain intensity and increased in Quality of Life after 6 weeks.  

  • PainDrainer is the first tool that
    adapts to each individual’s needs thanks to artificial intelligence.

  • 67%
    of the patients experienced increased
    quality of life and 67% decreased pain intensity. This was measured by PROMIS®
    validated questionnaires.
  • The chronic pain patients were coached to manage the relationship between their daily activities and pain intensity.  

Chronic pain

Pain, an unpleasant sensory and emotional experience, is a protective reflex that warns you that something in your body is damaged or about to be damaged. Acute pain is due to illness or injury, but sometimes the pain remains after the initial tissue damage has healed. When you have had pain for more than 3-6 months, it is defined as chronic pain.

Chronic pain is a multifaceted disease. Pain is always a personal experience that is influenced to varying degrees by biological, psychological, and social factors. It can vary in intensity, length and sensation. Experiencing pain for a long period of time, can lead to fatigue and sleep disturbance, feeling cold, decreased desire and appetite, avoidant behaviour etc.

Living with chronic pain can be a challenge. Pain is not necessarily a signal that movement is dangerous, but if pain lasts a long period of time, you may need help to manage and adapt your everyday life. It is known that strengthening your own ability to handle and control the situation you are in, eg increase self-efficacy is a important factor in pain management.

To live a value-based life

Self-management is the first step in managing chronic pain according to IASP. Self-management is about your ability to handle your own life situation. Research shows that by strengthening your ability, you can also reduce your pain, which is an important part of pain management. One of the treatment used in pain clinics today is Acceptance and Commitment Therapy (ACT). 

With successful self-management strategies you can have a rich and valuable based life despite living with pain. Self-management is, among other things, about understanding your pain and how it affects you. It is also about finding exercises and activities that suit you with the help of setting goals and changing behaviour. 

The goal is to learn to manage your everyday life and regain control.

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Artificial Intelligence

PainDrainer includes 19 different parameters and uses advanced calculations based on artificial intelligence (AI) to analyse how an activity, or combination of activities affects your pain level.

The AI engine is trained on your own data, which means that you will get personal advice from PainDrainer on what activities you can do, without exceeding a certain pain. You can also test to set different activities and see what level of pain they are predicted to cause.

Here you can find a selection of clinical studies that form the basis for the development of PainDrainer.

To ensure the effect of using PainDrainer, we continuously conduct clinical studies in both Sweden and in the US. We collaborate with Lund University, the University of California in San Diego, and Weill Cornell University in NYC, Newton-Wellesley Hospital in Boston.

The first pilot study was conducted in collaboration with the University of California San Diego Health and showed very promising data. 

  • PainDrainer is the first patient-centric tool that due to artificial intelligence adapts to each individual’s own needs.
  • PainDrainer significantly increases quality of life and reduces pain intensity in chronic pain patients.
  • PainDrainer helps patients manage the relationship between daily activities and pain.

The purpose of the studies is to ensure that the app is based on clinical evidence when used by people living with chronic pain.

Firstly, we want to see how effectively PainDrainer contributes to increased quality of life and to reduce pain intensity. We also studied safety, user-friendliness, and patient satisfaction.

We have an ambition that the data we generate will contribute to continued research and treatment of chronic pain for the benefit of patients and society.

All studies are designed according to international and local laws, rules and ethical principles. They are reviewed and approved by independent ethics committees and relevant authorities.

According to clinical studies, PainDrainer has shown positive results both in terms of pain intensity and the daily impact of living with chronic pain.

  • 2 out of 3 users experienced a reduction in pain level after 6 weeks.
  • 2 out of 3 users experience an increased quality of life, i.e., that the pain affects them less in their daily life.
  • PainDrainer is the first patient-centric digital tool with clinically proven efficacy.

Alexander, J. C., & Joshi, G. P. (2016). Smartphone applications for chronic pain management: a critical appraisal. J Pain Res, 9, 731-734. 

Bhattarai, P. ,et al., (2019). Feasibility evaluation of a pain self-management app-based intervention among older people living with arthritic pain: study protocol. Pilot Feasibility Stud, 5, 57. 

Prevalence of Chronic Pain and High-Impact Chronic Pain Among Adults — United States, 2016 Morbidity and Mortality Weekly Report (MMWR). September 14, 2018 / 67(36);1001–1006. 

Devan, H., et al., (2019). Evaluation of Self-Management Support Functions in Apps for People With Persistent Pain: Systematic Review. JMIR Mhealth Uhealth, 7(2), e13080. 

Devan, H., et al., (2018). What Works and Does Not Work in a Self-Management Intervention for People With Chronic Pain? Qualitative Systematic Review and Meta-Synthesis. Phys Ther, 98(5), 381-397. doi:10.1093/ptj/pzy029 

Du, S., et al., (2017). Self-management program for chronic low back pain: A systematic review and meta-analysis. Patient Educ Couns, 100(1), 37-49. doi:10.1016/j.pec.2016.07.029 

Duggan, G. B., et al., (2015). Qualitative evaluation of the SMART2 self-management system for people in chronic pain. Disabil Rehabil Assist Technol, 10(1), 53-60. doi:10.3109/17483107.2013.845696 

Elbers, S., et al., (2018). The effectiveness of generic self-management interventions for patients with chronic musculoskeletal pain on physical function, self-efficacy, pain intensity and physical activity: A systematic review and meta-analysis. Eur J Pain, 22(9), 1577-1596. doi:10.1002/ejp.1253 

Huber, S., et al., (2017). Treatment of Low Back Pain with a Digital Multidisciplinary Pain Treatment App: Short-Term Results. JMIR Rehabil Assist Technol, 4(2), 

Jackson. (2014). Self-Efficacy and Chronic Pain Outcomes: A Meta-Analytic Review.  

Lancaster, K., et al., (2018). The Use and Effects of Electronic Health Tools for Patient Self-Monitoring and Reporting of Outcomes Following Medication Use: Systematic Review. J Med Internet Res, 20(12), e294. doi:10.2196/jmir.9284 

Lo, W. et al., (2018). The Perceived Benefits of an Artificial Intelligence-Embedded Mobile App Implementing Evidence-Based Guidelines for the Self-Management of Chronic Neck and Back Pain: Observational Study. JMIR Mhealth Uhealth, 6(11), 

Mills, S. E. E., et al.,(2019). Chronic pain: a review of its epidemiology and associated factors in population-based studies. Br J Anaesth, 123(2), e273-e283. doi:10.1016/j.bja.2019.03.023 

NICE, N. I. f. H. a. C. E. s. (2018). Guideline scope, Chronic pain: assessment and management. NICE Guideline. Retrieved from https://www.nice.org.uk/guidance/gid-ng10069/documents/final-scope 

Ranney, M. L., Duarte, C., Baird, J., Patry, E. J., & Green, T. C. (2016). Correlation of digital health use and chronic pain coping strategies. Mhealth, 2, 35. 

Scott, I. A. et al., (2018). Going digital: a narrative overview of the effects, quality and utility of mobile apps in chronic disease self-management. Aust Health Rev. 

Slattery, B. W., et al., (2019). An Evaluation of the Effectiveness of the Modalities Used to Deliver Electronic Health Interventions for Chronic Pain: Systematic Review With Network Meta-Analysis. J Med Internet Res, 21(7), 

Treede, R. D., et al., (2019). Chronic pain as a symptom or a disease: the IASP Classification of Chronic Pain for the International Classification of Diseases (ICD-11). Pain, 160(1), 19-27. 

Keefe, F. J., et al., (2004). Psychological aspects of persistent pain: current state of the science. J Pain, 5(4), 195-211. 

Keefe, F. J., et al., (2008). Psychologic interventions and lifestyle modifications for arthritis pain management. Rheum Dis Clin North Am, 34(2), 351-368.