Usability Study of the Sensors and eMOM GDM Application
eMOMGDM
1 other identifier
observational
54
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started May 2019
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 25, 2019
CompletedFirst Posted
Study publicly available on registry
May 8, 2019
CompletedStudy Start
First participant enrolled
May 27, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 30, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
December 30, 2026
ExpectedMarch 11, 2025
March 1, 2025
3.4 years
April 25, 2019
March 7, 2025
Conditions
Keywords
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
* 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
- Helsinki University Central Hospitallead
- Business Finlandcollaborator
- Aalto Universitycollaborator
- University of Helsinkicollaborator
- Fujitsu Finland Oycollaborator
- Elisa Oyjcollaborator
- CleverHealth Networkcollaborator
Study Sites (1)
HUS
Helsinki, 00029, Finland
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.
PMID: 37906216DERIVEDKyto 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.
PMID: 36222806DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Seppo T Heinonen, prof
Helsinki University Hospital, Women's Hospital
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