ArticleJMIR formative research2022
eDOL mHealth App and Web Platform for Self-monitoring and Medical Follow-up of Patients With Chronic Pain: Observational Feasibility Study.
Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03931694 (Evaluation of the Feasibility of an E-health Tool in the Follow-up and Characterization of Chronic Pain Patients.), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Evaluation of the Feasibility of an E-health Tool in the Follow-up and Characterization of Chronic Pain Patients.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impact of 25 Years of Mobile Health Tools for Pain Management in Patients With Chronic Musculoskeletal Pain: Systematic Review.Journal of medical Internet research · 2024Pooled it
- A scoping review on the characteristics of chronic pain registries.Pain reports · 2026Review
- Patient Subgroups and Predictors of Improvement in Chronic Neuropathic Pain: A Trajectory-Based Analysis.European journal of pain (London, England) · 2025Article
- Professional-Facing Digital Health Technology for the Care of Patients With Chronic Pain: Scoping Review.Journal of medical Internet research · 2025Article
- Following Up Patients With Chronic Pain Using a Mobile App With a Support Center: Unicenter Prospective Study.JMIR human factors · 2025Article
- 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.JMIR mHealth and uHealth · 2024Article
- Evaluating the Clinical Use and Utility of a Digital Support App for Employees With Chronic Pain Returning to Work (SWEPPE): Observational Study.JMIR human factors · 2023Observational
- Article
- Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits.Heliyon · 2023Review
- Chronic pain is a risk factor for incident Alzheimer's disease: a nationwide propensity-matched cohort using administrative data.Frontiers in aging neuroscience · 2023Article
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Authors and funding
35 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic pain affects approximately 30% of the general population, severely degrades quality of life (especially in older adults) and professional life (inability or reduction in the ability to work and loss of employment), and leads to billions in additional health care costs. Moreover, available painkillers are old, with limited efficacy and can cause significant adverse effects. Thus, there is a need for innovation in the management of chronic pain. Better characterization of patients could help to identify the predictors of successful treatments, and thus, guide physicians in the initial choice of treatment and in the follow-up of their patients. Nevertheless, current assessments of patients with chronic pain provide only fragmentary data on painful daily experiences. Real-life monitoring of subjective and objective markers of chronic pain using mobile health (mHealth) programs can address this issue.
objectiveWe hypothesized that regular patient self-monitoring using an mHealth app would lead physicians to obtain deeper understanding and new insight into patients with chronic pain and that, for patients, regular self-monitoring using an mHealth app would play a positive therapeutic role and improve adherence to treatment. We aimed to evaluate the feasibility and acceptability of a new mHealth app called eDOL.
methodsWe conducted an observational study to assess the feasibility and acceptability of the eDOL tool. Patients completed several questionnaires using the tool over a period of 2 weeks and repeated assessments weekly over a period of 3 months. Physicians saw their patients at a follow-up visit that took place at least 3 months after the inclusion visit. A composite criterion of the acceptability and feasibility of the eDOL tool was calculated after the completion of study using satisfaction surveys from both patients and physicians.
resultsData from 105 patients (of 133 who were included) were analyzed. The rate of adherence was 61.9% (65/105) after 3 months. The median acceptability score was 7 (out of 10) for both patients and physicians. There was a high rate of completion of the baseline questionnaires and assessments (mean 89.3%), and a low rate of completion of the follow-up questionnaires and assessments (63.8% (67/105) and 61.9% (65/105) respectively). We were also able to characterize subgroups of patients and determine a profile of those who adhered to eDOL. We obtained 4 clusters that differ from each other in their biopsychosocial characteristics. Cluster 4 corresponds to patients with more disabling chronic pain (daily impact and comorbidities) and vice versa for cluster 1.
conclusionsThis work demonstrates that eDOL is highly feasible and acceptable for both patients with chronic pain and their physicians. It also shows that such a tool can integrate many parameters to ensure the detailed characterization of patients for future research works and pain management.
trial registrationClinicalTrial.gov NCT03931694; http://clinicaltrials.gov/ct2/show/NCT03931694.
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