Evidence map›Paper›PMID 42605407›Full record

ReviewNigerian medical journal : journal of the Nigeria Medical Association

Use of Menstruation Tracking Apps Among Women: A Systematic Review and Meta-Analysis of Multi-Country Evidence.

Ushakuma Michael Anenga, Jerry Kunle Isogun, Yakaka Mustapha Tatabe, Sesugh Matthew Iorfa, Yusuf Alfa, Juliet Adamezie Nkemdeme, Odigonma Zinobia Ikpeze, Oghenetega Jesse Agbagoro

Abstract readReview
In one paragraph

Review in Nigerian medical journal : journal of the Nigeria Medical Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ushakuma Michael AnengaDepartment of Obstetrics and Gynaecology, Benue State University / Teaching Hospital, Makurdi, Nigeria.
Jerry Kunle IsogunDepartment of Obstetrics and Gynaecology, Delta State University Teaching Hospital, Oghara, Nigeria.
Yakaka Mustapha TatabeDepartment of Obstetrics and Gynaecology, University of Maiduguri Teaching Hospital, Maiduguri, Nigeria.
Sesugh Matthew IorfaDepartment of Obstetrics and Gynaecology, Federal Teaching Hospital, Lafia, Nigeria.
Yusuf AlfaDepartment of Obstetrics and Gynaecology, Federal Medical Centre, Bida, Nigeria.
Juliet Adamezie NkemdemeDepartment of Obstetrics and Gynaecology, Federal Teaching Hospital, Oweri, Nigeria.
Odigonma Zinobia IkpezeDepartment of Obstetrics and Gynaecology, Nnamdi Azikiwe University / Teaching Hospital, Nnewi, Nigeria.
Oghenetega Jesse AgbagoroDepartment of Obstetrics and Gynaecology, Federal Medical Centre, Yenagoa, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Menstruation-tracking applications have become common digital tools for cycle monitoring, symptom tracking, fertility-related decisions, and reproductive self-awareness. Despite their growing use, evidence on their uptake and real-world use across settings has remained fragmented. This study aimed to systematically review and synthesise evidence on the use of menstruation-tracking apps among women, including uptake, reasons for use, benefits, determinants, concerns about accuracy, and privacy. Methodology: A systematic review and meta-analysis of published studies was conducted in PubMed, Scopus, and Web of Science. Eligible studies involved adolescent girls or women and reported use of menstruation or fertility-tracking apps. Data were extracted independently. All included studies were synthesised narratively, while a random-effects meta-analysis of proportions was performed for six studies reporting extractable prevalence data. Heterogeneity was assessed with I Results: Fourteen studies published between 2017 and 2025, involving 3,547 participants, were included, with six contributing to the meta-analysis. The pooled prevalence of menstruation-tracking app use was 61% (95% CI: 45%-75%), although substantial heterogeneity (I Conclusion: Menstruation-tracking app use appears common in the studied populations, but available estimates vary widely, and the certainty of evidence is very low. These apps may support self-monitoring and reproductive awareness, but they should be used as adjunctive self-management tools rather than stand-alone clinical tools.

Indexed as

digital healthfertility trackingmenstruation tracking appsmeta-analysisperiod trackersystematic review

Identifiers

PMID42605407
PMCPMC13477691

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.