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Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects
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 b...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518625/ https://www.ncbi.nlm.nih.gov/pubmed/37729869 http://dx.doi.org/10.1016/j.xcrm.2023.101192 |
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author | Edgley, Katherine Horne, Andrew W. Saunders, Philippa T.K. Tsanas, Athanasios |
author_facet | Edgley, Katherine Horne, Andrew W. Saunders, Philippa T.K. Tsanas, Athanasios |
author_sort | Edgley, Katherine |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10518625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105186252023-09-26 Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects Edgley, Katherine Horne, Andrew W. Saunders, Philippa T.K. Tsanas, Athanasios Cell Rep Med Perspective 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. Elsevier 2023-09-19 /pmc/articles/PMC10518625/ /pubmed/37729869 http://dx.doi.org/10.1016/j.xcrm.2023.101192 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Perspective Edgley, Katherine Horne, Andrew W. Saunders, Philippa T.K. Tsanas, Athanasios Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects |
title | Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects |
title_full | Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects |
title_fullStr | Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects |
title_full_unstemmed | Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects |
title_short | Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects |
title_sort | symptom tracking in endometriosis using digital technologies: knowns, unknowns, and future prospects |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518625/ https://www.ncbi.nlm.nih.gov/pubmed/37729869 http://dx.doi.org/10.1016/j.xcrm.2023.101192 |
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