Keyword search (4,163 papers available)

"Mobile apps" Keyword-tagged Publications:

Title Authors PubMed ID
1 ALBA: a model-driven framework for the automatic generation of android location-based apps Gharaat M; Sharbaf M; Zamani B; Hamou-Lhadj A; 38624616
ENCS
2 Smartphone apps for menstrual pain and symptom management: A scoping review Trépanier LCM; Lamoureux É; Bjornson SE; Mackie C; Alberts NM; Gagnon MM; 36761398
PSYCHOLOGY

 

Title:Smartphone apps for menstrual pain and symptom management: A scoping review
Authors:Trépanier LCMLamoureux ÉBjornson SEMackie CAlberts NMGagnon MM
Link:https://pubmed.ncbi.nlm.nih.gov/36761398/
DOI:10.1016/j.invent.2023.100605
Publication:Internet interventions
Keywords:Digital interventionsDysmenorrheaEndometriosisMenstrual painMobile appsWomen's health
PMID:36761398 Category: Date Added:2023-02-10
Dept Affiliation: PSYCHOLOGY
1 Department of Psychology and Health Studies, University of Saskatchewan, Saskatoon, SK, Canada.
2 Department of Psychology, Concordia University, Montréal, QC, Canada.

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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