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Smartphone apps for menstrual pain and symptom management: A scoping review

The past decade marks a surge in the development of mobile apps used to digitally track and monitor aspects of personal health, including menstruation. Despite a plethora of menstruation-related apps, pain and symptom management content available in apps has not been systematically examined. The obj...

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Autores principales: Trépanier, Lindsey C.M., Lamoureux, Élisabeth, Bjornson, Sarah E., Mackie, Cayley, Alberts, Nicole M., Gagnon, Michelle M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905939/
https://www.ncbi.nlm.nih.gov/pubmed/36761398
http://dx.doi.org/10.1016/j.invent.2023.100605
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author Trépanier, Lindsey C.M.
Lamoureux, Élisabeth
Bjornson, Sarah E.
Mackie, Cayley
Alberts, Nicole M.
Gagnon, Michelle M.
author_facet Trépanier, Lindsey C.M.
Lamoureux, Élisabeth
Bjornson, Sarah E.
Mackie, Cayley
Alberts, Nicole M.
Gagnon, Michelle M.
author_sort Trépanier, Lindsey C.M.
collection PubMed
description The past decade marks a surge in the development of mobile apps used to digitally track and monitor aspects of personal health, including menstruation. Despite a plethora of menstruation-related apps, pain and symptom management content available in apps has not been systematically examined. The objective of this study was to evaluate app characteristics, overall quality (i.e., engagement, functionality, design aesthetics, and information), nature and quality of pain and symptom tracking features, and availability and quality of pain-related intervention content. A scoping review of apps targeting facets of the menstrual experience was conducted by searching the Apple App Store. After removal of duplicates and screening, 119 apps targeting menstrual experiences were retained. Pain and menstrual symptoms tracking were available in 64 % of apps. Checkboxes or dichotomous (present/absent) reporting was the most common method of tracking symptoms and was available in 75 % of apps. Only a small subset (n = 13) of apps allowed for charting/graphing of pain symptoms across cycles. Fourteen percent of apps included healthcare professionals or researchers in their development and one app reported use of end-users. Overall app quality measured through the Mobile App Rating Scale (MARS) was found to be acceptable; however, the apps ability to impact pain and symptom management (e.g., impact on knowledge, awareness, behaviour change, etc.) was rated as low. Only 10 % of apps (n = 12) had interventions designed to manage pain. The findings suggest that despite pain and symptom management content being present in apps, this content is largely not evidence-based in nature. More research is needed to understand how pain and symptom management content can be integrated into apps to improve user experiences.
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spelling pubmed-99059392023-02-08 Smartphone apps for menstrual pain and symptom management: A scoping review Trépanier, Lindsey C.M. Lamoureux, Élisabeth Bjornson, Sarah E. Mackie, Cayley Alberts, Nicole M. Gagnon, Michelle M. Internet Interv Review Article The past decade marks a surge in the development of mobile apps used to digitally track and monitor aspects of personal health, including menstruation. Despite a plethora of menstruation-related apps, pain and symptom management content available in apps has not been systematically examined. The objective of this study was to evaluate app characteristics, overall quality (i.e., engagement, functionality, design aesthetics, and information), nature and quality of pain and symptom tracking features, and availability and quality of pain-related intervention content. A scoping review of apps targeting facets of the menstrual experience was conducted by searching the Apple App Store. After removal of duplicates and screening, 119 apps targeting menstrual experiences were retained. Pain and menstrual symptoms tracking were available in 64 % of apps. Checkboxes or dichotomous (present/absent) reporting was the most common method of tracking symptoms and was available in 75 % of apps. Only a small subset (n = 13) of apps allowed for charting/graphing of pain symptoms across cycles. Fourteen percent of apps included healthcare professionals or researchers in their development and one app reported use of end-users. Overall app quality measured through the Mobile App Rating Scale (MARS) was found to be acceptable; however, the apps ability to impact pain and symptom management (e.g., impact on knowledge, awareness, behaviour change, etc.) was rated as low. Only 10 % of apps (n = 12) had interventions designed to manage pain. The findings suggest that despite pain and symptom management content being present in apps, this content is largely not evidence-based in nature. More research is needed to understand how pain and symptom management content can be integrated into apps to improve user experiences. Elsevier 2023-01-30 /pmc/articles/PMC9905939/ /pubmed/36761398 http://dx.doi.org/10.1016/j.invent.2023.100605 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Trépanier, Lindsey C.M.
Lamoureux, Élisabeth
Bjornson, Sarah E.
Mackie, Cayley
Alberts, Nicole M.
Gagnon, Michelle M.
Smartphone apps for menstrual pain and symptom management: A scoping review
title Smartphone apps for menstrual pain and symptom management: A scoping review
title_full Smartphone apps for menstrual pain and symptom management: A scoping review
title_fullStr Smartphone apps for menstrual pain and symptom management: A scoping review
title_full_unstemmed Smartphone apps for menstrual pain and symptom management: A scoping review
title_short Smartphone apps for menstrual pain and symptom management: A scoping review
title_sort smartphone apps for menstrual pain and symptom management: a scoping review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905939/
https://www.ncbi.nlm.nih.gov/pubmed/36761398
http://dx.doi.org/10.1016/j.invent.2023.100605
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