Chronic pain affects approximately 20% of adults, 50% of the elderly population and over 1.5 billion people worldwide. Societal and economic issues are also crucial, as 60% of people with pain are less able or unable to work and 20% say they have lost their jobs because of pain. The overall cost of chronic pain is estimated at around 300 billion euros in the EU. Unfortunately, current treatments for chronic pain have limited effectiveness and important adverse effects. Pain clinics, which support the most complex and refractory cases of chronic pain, as well as general practitioners and patients expect improvements, both in terms of therapeutic efficacy and organization of care.

In order to allow the characterization and a personalized follow-up of chronic pain patients, we have created e-DOL, a smartphone application for patients and a web platform for healthcare professionals in pain clinics. The purpose of this study is to create an e-cohort for the research, and characterization and follow-up of chronic pain patients.

This first French e-cohort of chronic pain patients will allow real-life follow-up in order to generate big data including various information on chronic pain, associated-comorbidities, pain impacts on sleep, activity and psycho-emotional parameters, sociodemographic characteristics and pain treatments.

These data will be collected with he eDOL tool (smartphone application for patients and web platform for caregivers in pain clinics), integrating numerous repeatable questionnaires, weekly barometers, a therapeutic education module and a conversational agent (chat bot).

All of these data will also be linked with French health insurance care data in order to get an overview of comorbidities and patient care consumption in a medico-economic approach.

The study will include 20 pain clinics and a minimum of 5000 patients followed for 24 months.

Inclusion Criteria:

• All patients with chronic pain
• patients equipped and regular users of a smartphone
• Non-opposition to participation in the study

Exclusion Criteria:

• Patient unable to understand or answer questionnaires

Patiant with chronic pain