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

Author:

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

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.

CLINICALTRIAL

NCT03931694

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3