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[头痛治疗中的数字化]

[Digitalization in headache therapy].

作者信息

Neeb L, Ruscheweyh R, Dresler T

机构信息

Klinik für Neurologie mit Experimenteller Neurologie, Charité Universitätsmedizin, Charitéplatz 1, 10117, Berlin, Deutschland.

Klinik für Neurologie, Ludwig-Maximilians-Universität, München, Deutschland.

出版信息

Schmerz. 2020 Dec;34(6):495-502. doi: 10.1007/s00482-020-00508-3. Epub 2020 Oct 1.

DOI:10.1007/s00482-020-00508-3
PMID:33006064
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7529087/
Abstract

BACKGROUND

Digitalization offers support and innovative approaches in the diagnosis and therapy of headaches. With the German digital health care act (Digitale-Versorgung-Gesetz) it is now possible to integrate this into regular care for the first time. However, it is currently difficult to assess the various offers; quality standards and conclusive studies to determine the efficacy and safety are missing.

AIM

Overview of current digital approaches in headache treatment and presentation of two specific examples (App M‑sense and DMKG headache registry).

MATERIALS AND METHODS

Literature research, product information, and presentations by the project managers.

RESULTS

Most digital offers for headache treatment are currently headache calendars, mostly as a smartphone app. However, there are also promising extensions (e.g. trigger analysis) and new approaches such as digital instructions for relaxation and endurance sports, chatbots for patients, as well as support for doctors through structured collection of patient data and processing for diagnostic purposes.

CONCLUSION

Different digital approaches could support practitioners and patients effectively in headache treatment and therapy guidance in the near future. However, high-quality studies are necessary to evaluate their benefits and efficacy.

摘要

背景

数字化为头痛的诊断和治疗提供了支持和创新方法。随着德国数字医疗法案的出台,现在首次有可能将其纳入常规医疗服务中。然而,目前很难评估各种服务;缺乏确定疗效和安全性的质量标准及结论性研究。

目的

概述当前头痛治疗中的数字方法,并介绍两个具体示例(应用程序M-sense和德国头痛协会头痛登记处)。

材料与方法

文献研究、产品信息以及项目经理的报告。

结果

目前,大多数用于头痛治疗的数字服务是头痛日历,大多以智能手机应用程序的形式呈现。不过,也有一些有前景的扩展功能(如触发因素分析)以及新方法,如放松和耐力运动的数字指导、面向患者的聊天机器人,还有通过结构化收集患者数据并进行诊断处理为医生提供支持。

结论

不同的数字方法在不久的将来可能会有效地支持从业者和患者进行头痛治疗及治疗指导。然而,需要高质量的研究来评估它们的益处和疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/625f/7529087/d8e219531344/482_2020_508_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/625f/7529087/a067e26777b3/482_2020_508_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/625f/7529087/6fa7a2ea9abf/482_2020_508_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/625f/7529087/d8e219531344/482_2020_508_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/625f/7529087/a067e26777b3/482_2020_508_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/625f/7529087/6fa7a2ea9abf/482_2020_508_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/625f/7529087/d8e219531344/482_2020_508_Fig3_HTML.jpg

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