Mobile Health App and Web Platform (eDOL) for Medical Follow-Up of Patients With Chronic Pain: Cohort Study Involving the French eDOL National Cohort After 1 Year
mHealth
DOI:
10.2196/54579
Publication Date:
2024-03-27T19:17:31Z
AUTHORS (17)
ABSTRACT
Background Chronic pain affects approximately 30% of the general population, severely degrades quality life and professional life, leads to additional health care costs. Moreover, medical follow-up patients with chronic remains complex provides only fragmentary data on painful daily experiences. This situation makes management less than optimal may partly explain lack effectiveness current therapies. Real-life monitoring subjective objective markers using mobile (mHealth) programs could better characterize patients, pain, medications, impact help management. Objective cohort study aimed assess ability our mHealth tool (eDOL) collect extensive real-life from after 1 year use. The collected in this way would provide new epidemiological pathophysiological pain. Methods A French national treated at 18 clinics has been established followed up tools. it possible determinants repercussions their evolutions a context, taking into account all environmental events likely influence were asked complete several questionnaires, body schemes, weekly meters, able interact chatbot use educational modules Physicians monitor patients’ progress real time via an online platform. Results included 1427 analyzed 1178 patients. eDOL was various sociodemographic data; specific for characterizing disorders, including scheme; comorbidities related its psychological overall life; drug nondrug therapeutics benefit-to-risk ratio; or treatment history. Among completing 49.4% (497/1007) continued them 3 months follow-up, proportion stabilized 39.3% (108/275) 12 follow-up. Overall, despite fairly high attrition rate over period, data. amount will increase significant volume interest future research involving epidemiology, pathways, trajectories, management, characteristics, other aspects Conclusions work demonstrates that is generate considerable concerning context. can incorporate numerous parameters ensure detailed characterization Trial Registration ClinicalTrials.gov NCT04880096; https://clinicaltrials.gov/ct2/show/NCT04880096
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (67)
CITATIONS (0)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....