NCT03941652

Brief Summary

The principal aim of the eMOM GDM-project is to evaluate the effect of the eMOM GDM -application and the integrated service concept model on maternal and neonatal outcomes. In the first phase of the project the investigators evaluate the usability, functionality and acceptability of developed eMOM GDM application and used sensors (continuous glucose meter, accelerometer, speech-enabled food record, optical pulse, beat-to-beat heart rate). Two different user interfaces (one for the women with GDM and one for the health care professionals) of the eMOM GDM application will we be developed and evaluated.

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
54

participants targeted

Target at P25-P50 for all trials

Timeline
7mo left

Started May 2019

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress91%
May 2019Dec 2026

First Submitted

Initial submission to the registry

April 25, 2019

Completed
13 days until next milestone

First Posted

Study publicly available on registry

May 8, 2019

Completed
19 days until next milestone

Study Start

First participant enrolled

May 27, 2019

Completed
3.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 30, 2022

Completed
4.2 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 30, 2026

Expected
Last Updated

March 11, 2025

Status Verified

March 1, 2025

Enrollment Period

3.4 years

First QC Date

April 25, 2019

Last Update Submit

March 7, 2025

Conditions

Keywords

Gestational DiabetesContinuous Glucose ValuesPhysical ActivityNutritionBehaviour ChangeStressRecoveryHuman-Computer Interaction (HCI)Mobile ApplicationDietSelf-trackingUser interfaceHealth care professionals

Outcome Measures

Primary Outcomes (1)

  • Basic version of the eMOM GDM application has developed

    Goal of the eMOM GDM -project is develop an application for gestational diabetes. The basic version of eMOM GDM application is ready to use in Phase 2 when in all sectors of Software Usability Measurement Inventory (SUMI) scale have mean of 50 or higher during the same development period (sprint). SUMI is a rigorously tested and proven method of measuring software quality from the end user's point of view. Sectors which SUMI measures are efficiency, affect, helpfulness, control, learnability, and global usability of software.

    1 week

Secondary Outcomes (7)

  • Acceptability of sensors assessed by UTAUT questionnaire

    1 week

  • Acceptability of sensors and eMOM GDM prototype application assessed by UTAUT questionnaire

    1 week

  • Usability of sensors and their current applications

    1 week

  • First impressions of a partially functional prototype of the eMOM GDM

    1 week

  • Usability of eMOM GDM prototype application

    1 week

  • +2 more secondary outcomes

Other Outcomes (7)

  • Continuous glucose levels dataset

    1 week

  • Physical activity dataset

    1 week

  • Sleep dataset

    1 week

  • +4 more other outcomes

Study Arms (4)

Women with gestational diabetes without a prior GDM

The investigators will evaluate the usability of the sensors and define what features the application should have and how the data should be presented to the users. Participants (n=up to 10) use the sensors for one week and fill out logbooks for physical activity, sleep and diet. Participants fill questionnaires before and after the usage period, and take part in semi-structured interview.

Women with gestational diabetes with or without a prior GDM

The investigators define major usability issues with different versions of functional prototypes of eMOM GDM application developed in the project before moving to phase 2 of the study. GDM women (n=up to 12) will use the available version of the application for one week, and afterward the participants with GDM will take part in semi-structured interview.

General pregnant women

The investigators will define major usability issues with different versions of functional prototypes of eMOM GDM application developed in the project before moving to phase 2 of the study. General pregnant women (n=up to 30) will use the available version of the application for one week, and afterward the general pregnant women will fill out a web form of usability of the application after the application week.

Health care professionals

Nurses/midwifes (n=up to 20) will be interviewed for collecting user requirements for the professional eMOM GDM application in semi-structured interviews.

Eligibility Criteria

Age18 Years - 68 Years
Sexfemale(Gender-based eligibility)
Gender Eligibility DetailsGDM can be studied only in pregnant women.
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

* General population of pregnant women * Pregnant women without gestational diabetes in previous pregnancy * Pregnant women with or without gestational diabetes in previous pregnancies * Health care professionals (nurses/midwives)

You may qualify if:

  • General pregnant women at gestational week \>=24
  • GDM women without a prior GDM at gestational week \>=24
  • GDM women with or without a prior GDM at gestational week \>=24

You may not qualify if:

  • Type 1 Diabetes Mellitus
  • Type 2 Diabetes Mellitus
  • Use of medication that influences glucose metabolism in the beginning of the study (e.g. oral corticosteroids, metformin,insulin)
  • Multiple Pregnancy
  • Current substance abuse
  • Severe psychiatric disorder
  • Significant difficulty in cooperating (e.g. inadequate Finnish language skills)
  • Significant physical disabilities
  • For health care professionals
  • \- Consult and treat women with GDM regularly
  • \- Inadequate Finnish language skills

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

HUS

Helsinki, 00029, Finland

Location

Related Publications (2)

  • Kyto M, Koivusalo S, Tuomonen H, Stromberg L, Ruonala A, Marttinen P, Heinonen S, Jacucci G. Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors. JMIR Diabetes. 2023 Oct 31;8:e43979. doi: 10.2196/43979.

  • Kyto M, Koivusalo S, Ruonala A, Stromberg L, Tuomonen H, Heinonen S, Jacucci G. Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features. JMIR Hum Factors. 2022 Oct 12;9(4):e36987. doi: 10.2196/36987.

MeSH Terms

Conditions

Diabetes, GestationalMotor Activity

Condition Hierarchy (Ancestors)

Pregnancy ComplicationsFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesDiabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesBehavior

Study Officials

  • Seppo T Heinonen, prof

    Helsinki University Hospital, Women's Hospital

    STUDY DIRECTOR

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Adjunct prof, Obstetrician, Development Manager

Study Record Dates

First Submitted

April 25, 2019

First Posted

May 8, 2019

Study Start

May 27, 2019

Primary Completion

October 30, 2022

Study Completion (Estimated)

December 30, 2026

Last Updated

March 11, 2025

Record last verified: 2025-03

Data Sharing

IPD Sharing
Will not share

Locations