Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects

被引:4
作者
Edgley, Katherine [1 ,2 ]
Horne, Andrew W. [1 ,2 ]
Saunders, Philippa T. K. [3 ]
Tsanas, Athanasios [4 ,5 ]
机构
[1] Univ Edinburgh, EXPPECT, Edinburgh EH16 4UU, Midlothian, Scotland
[2] Univ Edinburgh, MRC Ctr Reprod Hlth, Edinburgh EH16 4UU, Scotland
[3] Univ Edinburgh, Ctr Inflammat Res, Edinburgh EH16 4UU, Scotland
[4] Univ Edinburgh, Usher Inst, Edinburgh Med Sch, Edinburgh EH16 4UX, Scotland
[5] Alan Turing Inst, London NW1 2DB, England
关键词
SLEEP; PAIN; FIBROMYALGIA; FRAGMENTATION; IMPACT;
D O I
10.1016/j.xcrm.2023.101192
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Endometriosis is a common chronic pain condition with no known cure and limited treatment options. Digital technologies, ranging from smartphone apps to wearable sensors, have shown potential toward facilitating chronic pain assessment and management; however, to date, many of these tools have not been specifically deployed or evaluated in patients with endometriosis-associated pain. Informed by previous studies in related chronic pain conditions, we discuss how digital technologies may be used in endometriosis to facilitate objective, continuous, and holistic symptom tracking. We postulate that these pervasive and increasingly affordable technologies present promising opportunities toward developing decision-support tools assisting healthcare professionals and empowering patients with endometriosis to make better-informed choices about symptom management.
引用
收藏
页数:11
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