Evidence map›Paper›PMID 40466096›Full record

ArticleJMIR mHealth and uHealth2025

The Effect of a Mobile App (eMOM) on Self-Discovery and Psychological Factors in Persons With Gestational Diabetes: Mixed Methods Study.

Sini Määttänen, Saila Koivusalo, Hanna Ylinen, Seppo Heinonen, Mikko Kytö

Registry-linked trialAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04714762 (eHealth in Treatment of Gestational Diabetes - eMOM GDM -Study), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT04714762 naactive not recruitingnot on this map

eHealth in Treatment of Gestational Diabetes - eMOM GDM -Study (Phase 2)

TypeinterventionalSponsorHelsinki University Central HospitalRan2021 to 2026Enrolled200ConditionsGestational Diabetes, Mobile ApplicationArmseMOM GDM application
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Observational
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

5 authors.

Sini MäättänenFaculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0009-0002-4871-8292
Saila KoivusaloDepartment of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-9482-9826
Hanna YlinenFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.ORCID 0009-0006-7835-1654
Seppo HeinonenDepartment of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-5949-0874
Mikko KytöDevelopment and Strategy Unit, Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0002-4936-3502

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGestational diabetes is a type of diabetes that develops during pregnancy and increases the risk of developing type 2 diabetes later in life. The rising prevalence of gestational diabetes mellitus (GDM) highlights the need for more comprehensive treatment strategies, with a particular emphasis on supporting maternal self-management. We showed recently that a mobile app, eMOM, where glucose, nutrition, and physical activity are combined within a single app, significantly improves multiple clinical outcomes among persons with gestational diabetes.

objectiveThis study aims to explore the effects of the eMOM on maternal self-discovery and learning, autonomous motivation to manage GDM, and psychological well-being. Additionally, we examine the correlation between improved maternal clinical outcomes and change in autonomous motivation. We also assess the acceptance and usability of the eMOM app.

methodsBuilding upon the original randomized controlled trial (RCT), in which the intervention arm used a mobile app (eMOM), we conducted a mixed methods study that included an investigation of eMOM log files, semistructured interviews on self-discovery, and an examination of questionnaires assessing motivation (Treatment Self-Regulation Questionnaire and Perceived Competence Scale), depression (Edinburgh Postnatal Depression Scale), technology use and acceptance (Unified Theory of Acceptance of Use of Technology questionnaire), and usability (modified Software Usability Measurement Inventory). Additionally, we monitored participants' stress levels using wearable electrocardiographic devices (FirstBeat Bodyguard 2). A total of 148 individuals participated in the original RCTs, with 76 in the intervention arm and 72 in the control arm. From the intervention arm, 18 participants were randomly selected for interviews in this study.

resultsResults show that the use rate of eMOM was high, and novel visualization supported self-discovery in persons with GDM. Most participants (17/18, 94%) indicated that the eMOM app helped to find the associations between their daily activities and glucose levels. Especially having nutrition visualized together with glucose was highly appreciated. Participants also reported learning about the associations between physical activity and glucose levels. No differences were observed between the intervention and control arms in autonomous motivation, depression, or stress. Furthermore, there were no correlations between improved clinical outcomes and changes in motivation. Accessibility and usability ratings were consistently high throughout the intervention.

conclusionsThe eMOM mobile app combining data from continuous glucose monitor, food diary, and physical activity tracker supports maternal self-discovery related to GDM without contributing to depression or adding extra stress. This encourages the use of such mobile apps in maternity care. Notably, motivational factors did not correlate with the positive outcomes observed in our prior RCT, suggesting that self-discovery has a greater impact on clinical results.

trial registrationClinicalTrials.gov NCT04714762; https://www.clinicaltrials.gov/study/NCT04714762.

Indexed as

Diabetes, GestationalMobile ApplicationsAdultFemaleHumansMotivationPregnancyPsychometricsQualitative ResearchRandomized Controlled Trials as TopicSurveys and Questionnairesappsdepressiondiabetesgestational diabetesglucoseinterviewmaternalmixed methods studymobile appsmotivationnutritionphysical activitypregnancypsychologicalquestionnaireself-determination theoryself-discoveryself-managementself-trackingstresssupportusabilitywell-beingwomen

Identifiers

PMID40466096
PMCPMC12177430

What OpenQuestion holds

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LicenceCC BY
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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.