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Usability Study of the Sensors and eMOM GDM Application (eMOMGDM)

H

Helsinki University Central Hospital (HUCH)

Status

Active, not recruiting

Conditions

Gestational Diabetes

Study type

Observational

Funder types

Other

Identifiers

NCT03941652
HUS/2165/2018

Details and patient eligibility

About

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.

Full description

The first phase of the eMOM GDM -project consists of two parts.

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.

Enrollment

54 estimated patients

Sex

Female

Ages

18 to 68 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • 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

Exclusion criteria

  • 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

Inclusion Criteria:

  • Consult and treat women with GDM regularly

Exclusion Criteria:

  • Inadequate Finnish language skills

Trial design

54 participants in 4 patient groups

Women with gestational diabetes without a prior GDM
Description:
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
Description:
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
Description:
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
Description:
Nurses/midwifes (n=up to 20) will be interviewed for collecting user requirements for the professional eMOM GDM application in semi-structured interviews.

Trial contacts and locations

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Data sourced from clinicaltrials.gov

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