Evidence map›Paper›PMID 30946478›Full record

Trial reportJournal of the American Medical Informatics Association : JAMIA2019

Can menstrual health apps selected based on users' needs change health-related factors? A double-blind randomized controlled trial.

Jisan Lee, Jeongeun Kim

Erratum issuedOpen access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.5field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  13. Automated meal detection from continuous glucose monitor data through simulation and explanation.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  14. The importance of consumer- and patient-oriented perspectives in biomedical and health informatics.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Jisan LeeDepartment of Nursing science, College of Life & Health Sciences, Hoseo University, Asan, Korea.
Jeongeun KimInterdisciplinary Program of Medical Informatics, Seoul National University, Seoul, Korea.
Hoseo University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMost healthcare providers are reluctant to use health apps for healthcare because there is no rigorous way of choosing the best app for their patient or consumer. Accordingly, we developed a new method of app selection that fully considers target users' needs. This study verified whether health apps selected based on target users' needs can influence health-related factors. MATERIALS AND

methodsWe conducted a randomized control trial of women with dysmenorrhea and premenstrual syndrome using App A (the best app selected using the new method) and App B (the app with the highest number of users worldwide). The intervention was performed over 4 months to include at least 3 menstrual cycles.

resultsSixty-one app users completed the 16-week intervention. While users rated both apps as higher in quality than previously used menstrual apps, only App A users showed significant improvements in overall satisfaction, app outcome expectancy, the number of days with records, app social influence, intent to recommend, and the possibility of behavioral or cognitive changes in their symptom management. The number of menus used increased over time. While the app self-efficacy and the number of relief methods did not significantly differ between groups, they still showed an increase in App A users.

conclusionsWhen a menstrual app reflected users' needs, they recorded their symptoms more often and reported higher app quality, satisfaction, and intention to recommend. This study can not only benefit the selection of menstrual apps, but also confirm that mobile health apps can improve health-related factors.

Indexed as

DysmenorrheaMenstrual CycleMobile ApplicationsPremenstrual SyndromeDouble-Blind MethodFemaleHumansPatient SatisfactionPrincipal Component Analysisdysmenorrheamobile applicationsneeds assessmentpremenstrual syndromerandomized controlled trial

Identifiers

PMID30946478
PMCPMC7647196
OpenAlexW2932176467

What OpenQuestion holds

Textmetadata
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.