Assessing the performances of a chatbot to collect real-life data of patients with migraine (Preprint)

Author:

Chaix BenjaminORCID,Bibault Jean-EmmanuelORCID,Delamon GuillaumeORCID,Neraal MickaëlORCID,Moussalli JulienORCID,Delcutieux MorganeORCID,Guillemassé ArthurORCID,Brouard BenoîtORCID

Abstract

BACKGROUND

There are many scales for screening or assessing the impact of a disease. These scales are generally used to diagnose or assess the severity of a disease and are carried out by doctors. The Vik Migraine chatbot helps patients suffering from headaches through personalized text messages, it could be used to collect patient-reported outcomes.

OBJECTIVE

The aims of this study were (1) to assess the feasibility of collecting a chatbot-mediated reference scale, (2) perform a remote diagnosis of the severity of the migraines and (3) assess the patient satisfaction and engagement with the chatbot.

METHODS

This study was conducted in France from December 2019 to March 2020. Voluntary users of the chatbot Vik Migraine were recruited online. They had to be adults and suffer from chronic migraines. An adapted version of the IHS questionnaire was presented to the participants by text messages. The Lickert scale ranging from 1 to 5 was used to assess overall satisfaction with the use of Vik Migraine.

RESULTS

We included 636 participants with migraines or headaches. A total of 89.94% (572) participants had fully completed the IHS questionnaire (8 items), 4.72% (30) had partially completed it and 5.35% (34) had refused to complete it. The evaluation of overall satisfaction shows that a total of 80.7% (513) of users agreed or strongly agreed with the affirmation that Vik Migraine provides quality answers about the pathology or its information.

CONCLUSIONS

We hypothesized that a virtual assistant built to support migraine patients could be used to retrieve patient data remotely, such as medical assessment scales. The study confirmed this hypothesis and showed that users were strongly engaged through to chatbot: out of the total number of participants, we observed a very low number of uncompleted questionnaires.

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