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Accepted for/Published in: JMIR Formative Research

Date Submitted: Jun 4, 2021
Date Accepted: Nov 29, 2021

The final, peer-reviewed published version of this preprint can be found here:

eDOL mHealth App and Web Platform for Self-monitoring and Medical Follow-up of Patients With Chronic Pain: Observational Feasibility Study

KERCKHOVE N, Delage N, Cambier S, Cantagrel N, Serra E, Marcaillou F, Maindet-Dominici C, PICARD P, Martiné G, Deleens R, TROUVIN AP, Fourel L, Espagne-Dubreuilh G, Douay L, FOULON S, DUFRAISSE B, GOV C, Viel E, JEDRYKA F, Pouplin S, Lestrade C, Combe E, Perrot S, Perocheau D, De Brisson V, Vergne-Salle P, Mertens P, Pereira B, Djiberou Mahamadou AJ, Antoine V, Corteval A, Eschalier A, Dualé C, Attal N, Authier N

eDOL mHealth App and Web Platform for Self-monitoring and Medical Follow-up of Patients With Chronic Pain: Observational Feasibility Study

JMIR Form Res 2022;6(3):e30052

DOI: 10.2196/30052

PMID: 35234654

PMCID: 8928045

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Pilot study of eDOL, a new mHealth application and web platform for medical follow-up of chronic pain patients

  • NICOLAS KERCKHOVE; 
  • Noémie Delage; 
  • Sébastien Cambier; 
  • Nathalie Cantagrel; 
  • Eric Serra; 
  • Fabienne Marcaillou; 
  • Caroline Maindet-Dominici; 
  • Pascale PICARD; 
  • Gaelle Martiné; 
  • Rodrigue Deleens; 
  • Anne-Priscille TROUVIN; 
  • Lauriane Fourel; 
  • Gaelle Espagne-Dubreuilh; 
  • Ludovic Douay; 
  • Stéphane FOULON; 
  • Bénédicte DUFRAISSE; 
  • Christian GOV; 
  • Eric Viel; 
  • François JEDRYKA; 
  • Sophie Pouplin; 
  • Cécile Lestrade; 
  • Emmanuel Combe; 
  • Serge Perrot; 
  • Dominique Perocheau; 
  • Valentine De Brisson; 
  • Pascale Vergne-Salle; 
  • Patrick Mertens; 
  • Bruno Pereira; 
  • Abdoul Jalil Djiberou Mahamadou; 
  • Violaine Antoine; 
  • Alice Corteval; 
  • Alain Eschalier; 
  • Christian Dualé; 
  • Nadine Attal; 
  • Nicolas Authier

ABSTRACT

Background:

The pharmacopoeia of analgesics is old, their effectiveness is limited, with undesirable effects and little progress has been made in recent years. Thus, innovation is limited despite prolific basic research. Better characterization of patients could help to identify the predictors of successful treatments through research programs, and therefore enable physicians to carry out better decision-making in the initial choice of treatment and in the follow-up of their patients. Nevertheless, the current assessment of chronic pain patients provides only fragmentary data on their painful daily experiences. Thus, it is essential to modify the temporality in which patients’ sensations are assessed, with real-life monitoring of different parameters, i.e. subjective and objective markers of chronic pain. Consequently, recent studies have highlighted the urgent need to develop self-management and chronic pain management programs through e-health programs, and enhance their therapeutic value.

Objective:

We hypothesize that regular patient self-monitoring using an mHealth application would lead physicians to obtain deeper knowledge and a new vision of chronic pain patients, while for patients it would play a positive therapeutic role, as they become active in their own management and benefit from online advice. Such an assessment would not only contribute to better patient characterization and help in the choice of the most appropriate treatment, but could also improve adherence to treatment. To address this issue, we evaluated the feasibility and acceptability, by patients and physicians, of a new mHealth application called eDOL.

Methods:

An observational study assessing the feasibility and acceptability of the eDOL tool was conducted. Patients completed several questionnaires via eDOL over a period of 2 weeks, and then repeatedly 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. The primary endpoint, a composite criterion reflecting the acceptability of eDOL and the feasibility of its use, was assessed using satisfaction questionnaires for both patients and physicians after the completion of study.

Results:

One hundred and thirty-three patients were included of whom 105 were analyzable. Our results showed a rate of adherence of approximately 60% of patients after 3 months of using eDOL, a median acceptability score around 7/10 for both patients and physicians, a high rate of completion of the baseline questionnaires / meters, and a low rate for follow-up questionnaires / meters and forms. We were also able to characterize subgroups of patients and determine a profile of those who adhered to eDOL.

Conclusions:

This work demonstrates that eDOL is highly feasible and acceptable for both chronic pain patients 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. Clinical Trial: NCT03931694


 Citation

Please cite as:

KERCKHOVE N, Delage N, Cambier S, Cantagrel N, Serra E, Marcaillou F, Maindet-Dominici C, PICARD P, Martiné G, Deleens R, TROUVIN AP, Fourel L, Espagne-Dubreuilh G, Douay L, FOULON S, DUFRAISSE B, GOV C, Viel E, JEDRYKA F, Pouplin S, Lestrade C, Combe E, Perrot S, Perocheau D, De Brisson V, Vergne-Salle P, Mertens P, Pereira B, Djiberou Mahamadou AJ, Antoine V, Corteval A, Eschalier A, Dualé C, Attal N, Authier N

eDOL mHealth App and Web Platform for Self-monitoring and Medical Follow-up of Patients With Chronic Pain: Observational Feasibility Study

JMIR Form Res 2022;6(3):e30052

DOI: 10.2196/30052

PMID: 35234654

PMCID: 8928045

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