ArticleInternet interventions2023
Smartphone apps for menstrual pain and symptom management: A scoping review.
Article in Internet interventions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07598929 (Effectiveness of Artificial Intelligence Supported Mobile Education Compared With Face-to-Face and Brochure-Based Education on Dysmenorrhea Self-Care and Genital Hygiene Behaviors in Adolescent Girls), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effectiveness of Artificial Intelligence Supported Mobile Education Compared With Face-to-Face and Brochure-Based Education on Dysmenorrhea Self-Care and Genital Hygiene Behaviors in Adolescent Girls: A Randomized Controlled Trial
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Effectiveness of digital healthcare in managing menstrual symptoms: a systematic review.Women's health nursing (Seoul, Korea) · 2025Pooled it
- The balancing act of app creation: Navigating the user-centred design of an industry-developed app for adolescents with menstrual pain.Internet interventions · 2026Article
- A framework for longitudinal health AI agents.Nature health · 2026Article
- How well do women understand their menstrual cycles? Insights from 383,085 UK based women.Reproductive health · 2026Article
- Exploring predictors of analgesic response in adult women regularly using NSAIDs: insights from a machine learning approach.Frontiers in pain research (Lausanne, Switzerland) · 2026Article
- Evaluation of medical education mobile apps with MARS and MARuL in a TPACK informed model.Scientific reports · 2025Article
- Holistic approach to dysmenorrhea management: Integrating pharmacological and non-pharmacological interventions for improved women's health in the Middle East and Africa.BMC women's health · 2025Review
- Mobile Apps Designed for Patients With Polycystic Ovary Syndrome: Content Analysis Using the Mobile App Rating Scale.Journal of medical Internet research · 2025Article
- Availability and Use of Digital Technology Among Women With Polycystic Ovary Syndrome: Scoping Review.JMIR infodemiology · 2025Article
- Prevalence of menstrual pain and symptoms and their association with age and BMI among Japanese female app users.Scientific reports · 2025Article
- An evaluation of menstrual health apps' functionality, inclusiveness, and health education information.BMC women's health · 2025Article
- Mobile applications available in Saudi Arabia for the management of Primary Dysmenorrhea: A quality review and content analysis.PloS one · 2025Article
- Menstrual Cycle Management and Period Tracker App Use in Millennial and Generation Z Individuals: Mixed Methods Study.Journal of medical Internet research · 2024Article
- Using Wearable Skin Temperature Data to Advance Tracking and Characterization of the Menstrual Cycle in a Real-World Setting.Journal of biological rhythms · 2024Article
- Current Use and Discrepancies in the Adoption of Health-Related Internet of Things and Apps Among Working Women in Japan: Large-Scale, Internet-Based, Cross-Sectional Survey.JMIR public health and surveillance · 2024Article
- Understanding Adolescents' Experiences With Menstrual Pain to Inform the User-Centered Design of a Mindfulness-Based App: Mixed Methods Investigation Study.JMIR pediatrics and parenting · 2024Article
- Mobile Application Measurement of Menstrual Cycle Characteristics and Their Association with Dysmenorrhea and Activity Limitation in Early Adolescents.Journal of pediatric and adolescent gynecology · 2024Article
- Comparison of Menstrual Symptoms in University Students with and without Female Genital Mutilation/Cutting.International journal of women's health · 2024Article
- "UPDATE: I'm pregnant!": Inferring global downloads and reasons for using menstrual tracking apps.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.