Usability Study of the Sensors and eMOM GDM Application
NCT ID: NCT03941652
Last Updated: 2025-03-11
Study Results
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Basic Information
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ACTIVE_NOT_RECRUITING
54 participants
OBSERVATIONAL
2019-05-27
2026-12-30
Brief Summary
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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.
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Detailed Description
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Phase 1.1. the usability of the sensors will be evaluated by asking participants with GDM diagnosis (n = up to 10) to use the sensors (Garmin Vivosmart 3, Medtronic Guardian Connect, Firstbeat Bodyguard 2, and Exced) and by collecting participants' blood glucose values from glucose meter (Contour Next ONE) for one week. Participants fill out a logbook for physical activity and sleeping for seven days, and a logbook for diet for three days during the study period. For ensuring the quality of food record a researcher will phone interview the participant based on her diet recordings.
Before starting using the sensors, the participants will fill Background questionnaire and Technology acceptance questionnaire (UTAUT). After the usage period, the participants will fill the same Technology acceptance questionnaire (UTAUT) and take part in semi-structured interview. The interview has to parts. In the first part, participants will be interviewed about the acceptability of sensors. In the second part, researcher will show a non-functional prototype of eMoM GDM application to the participant and will ask predetermined questions. Interview will be recorded and data obtained from the interviews will be transcribed for analysis.
Phase 1.2. 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 in total) and GDM women (n=up to 10) will use the available version of the application for one week, and afterward the participants with GDM will take part in semi-structured interview. Interview will be recorded and data will be transcribed for analysis. General pregnant women will fill out a web form of usability of the application after application week. Based on the responses of the form, the participants may be contacted for further inquiries about the usability issues they have reported. For ensuring the quality of food record a researcher will phone interview all participants based on her diet recordings.
In Phase 1.3 user requirements for the professional eMOM GDM application will be collected. The first aim of this evaluation is to define what features the application should have. These user requirements are collected with a semi-structured interview. Before the interview, background of the 15-20 nurses/midwifes is asked with background questionnaire on profession. In the interviews, the questions are predetermined, but some flexibility is allowed. Interviews will be recorded and data obtained from the interviews will be transcribed for analysis.
Conditions
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Study Design
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OTHER
PROSPECTIVE
Study Groups
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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.
No interventions assigned to this group
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.
No interventions assigned to this group
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.
No interventions assigned to this group
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.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* GDM women without a prior GDM at gestational week \>=24
* GDM women with or without a prior GDM at gestational week \>=24
\- Consult and treat women with GDM regularly
Exclusion Criteria
* 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
\- Inadequate Finnish language skills
18 Years
68 Years
FEMALE
Yes
Sponsors
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Business Finland
OTHER
Aalto University
OTHER
University of Helsinki
OTHER
Fujitsu Finland Oy
UNKNOWN
Elisa Oyj
UNKNOWN
CleverHealth Network
UNKNOWN
Helsinki University Central Hospital
OTHER
Responsible Party
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Saila Koivusalo
Adjunct prof, Obstetrician, Development Manager
Principal Investigators
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Seppo T Heinonen, prof
Role: STUDY_DIRECTOR
Helsinki University Hospital, Women's Hospital
Locations
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HUS
Helsinki, , Finland
Countries
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References
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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.
Other Identifiers
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HUS/2165/2018
Identifier Type: -
Identifier Source: org_study_id
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