Evidence map›Paper›PMID 38159963›Full record

ArticleBMJ open2023

Does Health & Her app use improve menopausal symptoms? A longitudinal cohort study.

Robin Andrews, Deborah Lancastle, Kate Bache, Arron S Lacey

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 9% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Robin AndrewsCardiff University, Cardiff, UK andrewsR16@cardiff.ac.uk.ORCID 0000-0002-5149-7649
Deborah LancastleLife Sciences & Education: School of Psychology, University of South Wales, Pontypridd, UK.
Kate BacheHealth & Her, Cardiff, UK.
Arron S LaceyInstitute of Life Science, Swansea University Medical School, Swansea University, Swansea, UK.
Cardiff University · GBSwansea University · GBUniversity of South Wales · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe Health & Her app provides menopausal women with a means of monitoring their symptoms, symptom triggers and menstrual periods, and enables them to engage in a variety of digital activities designed to promote well-being. This study aimed to examine whether sustained weekly engagement with the app is associated with improvements in menopausal symptoms.

designA pre-post longitudinal cohort study.

settingAnalysed data collected from Health & Her app users.

participants1900 women who provided symptom data via the app across a 2-month period. PRIMARY AND SECONDARY OUTCOME MEASURES: Symptom changes from baseline to 2 months was the outcome measure. A linear mixed effects model explored whether levels of weekly app engagement influenced symptom changes. Secondary analyses explored whether app-usage factors such as total number of days spent logging symptoms, reporting triggers, reporting menstrual periods and using in-app activities were independently predictive of symptom changes from baseline. Covariates included hormone replacement therapy use, hormonal contraceptive use, present comorbidities, age and dietary supplement use.

resultsFindings demonstrated that greater engagement with the Health & Her app for 2 months was associated with greater reductions in symptoms over time. Daily use of in-app activities and logging symptoms and menstrual periods were each independently associated with symptom reductions.

conclusionsThis study demonstrated that greater weekly engagement with the app was associated with greater reductions in symptoms. It is recommended that women be made aware of menopause-specific apps, such as that provided by Health & Her, to support them to manage their symptoms.

Indexed as

Mobile ApplicationsCohort StudiesFemaleHormone Replacement TherapyHumansLongitudinal StudiesMenopauseGYNAECOLOGYHealth informaticsMENTAL HEALTHQuality of LifeReproductive medicineTelemedicine

Identifiers

PMID38159963
PMCPMC10759107
OpenAlexW4390452532

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.