ArticleHRB open research2026
mHealth Applications in the Assessment of Musculoskeletal Pain in Menopausal Women: Protocol for a Scoping Review.
Article in HRB open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Menopause is a major life transition with diverse physical, psychological, and social symptoms. More than 70% of women experience musculoskeletal (MSK) pain during the menopausal transition, and around 25% are disabled by it; this symptom cluster was recently characterised as the musculoskeletal syndrome of menopause. These symptoms are frequently normalised as an inevitable consequence of ageing rather than recognised as treatable, contributing to underdiagnosis and limited management. Mobile health (mHealth) applications increasingly deliver education, symptom tracking, and self-management support to menopausal women, yet the evidence base is fragmented, and how well this research captures MSK symptoms, rather than leaving them embedded within broader symptom measures, remains unclear. Methods: This scoping review will follow JBI methodology and be reported using the PRISMA Extension for Scoping Reviews (PRISMA-ScR). Six bibliographic databases (Embase, Web of Science, Scopus, PubMed/MEDLINE, CINAHL, and IEEE Xplore) will be searched, with reference-list hand-searching of included studies. Records will be screened in duplicate in Covidence; title/abstract screening will retain records indicating symptom monitoring or tracking with a potential MSK link (including composite menopause symptom measures) or strength-oriented exercise, with MSK relevance confirmed at full text. A structured charting form will capture intervention characteristics, symptom-tracking functionality, study design, and outcomes, alongside an MSK-directness classification distinguishing direct measurement from indirect coverage (within composite measures, or exercise/physical-activity components). Reported acceptability, usability, and engagement will be organised through the Technology Acceptance Model. Findings will be synthesised narratively using tables and thematic summaries. Conclusions: This review will map how published, menopause-related mHealth research represents MSK symptoms, and whether they are assessed directly or only within broader symptom measures, rather than evaluating the applications themselves, which are the focus of a separate, complementary review. Results will be submitted to a peer-reviewed journal and presented at national and/or international conferences.
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Registered trials
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