- ICH GCP
- US Clinical Trials Registry
- Klinisk forsøg NCT03491436
Pregnancy Remote Monitoring of Women at Risk for Gestational Diabetes
Background: Remote monitoring (RM) is a new screenings- and or diagnostic tool in healthcare. In 2015, the PREMOM study (Pregnancy Remote Monitoring), in which patients with gestational hypertensive diseases did received a RM prenatal follow up, has started. The first results showed an added value of RM in the prenatal follow-up. Due to these results, a RM program for pregnant women with gestational diabetes mellitus (GDM) will be developed and evaluated.
Protocol: Women (at risk of) GDM will be included in this study. They receive a iHealth Align (a glucose monitor) and associated glycemiestrips. The app of iHealth will be downloaded on the pregnant women's Smartphone to collect the data and to send them to the researcher in the hospital.
The women is asked to perform four glycemie controls/day (sober and two hours after every mail) with the received glucose monitor. The monitor is connected via Wi-Fi and Bluetooth with the computer of the researches who controls and evaluated these data. Additionally, the pregnant women has to check daily her body weight with a weight scale of her own. They have to upload these data manually in the app on her smartphone.
When the pregnant women has an prenatal consultation, an overview with the data will be send to the responsible gynecologist. The gynecologist will also be alarmed when the pregnant women has three abnormal values at the same moment of the day (ex. Every morning after breakfast). When necessary, advice among life-style can be given or a referral to an endocrinologist can be made. The researches will not perform interventions by herself, only the responsible doctor can do this.
By analyzing the patients parameters when she's at home, a better vision can be achieved of the health of the mother and the child. This study will be conducted as a first research to get a better insight in the added value of RM in pregnancies complicated with GDM.
Studieoversigt
Status
Betingelser
Intervention / Behandling
Undersøgelsestype
Fase
- Ikke anvendelig
Kontakter og lokationer
Studiesteder
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Genk, Belgien, 3600
- Ziekenhuis Oost-Limburg
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Deltagelseskriterier
Berettigelseskriterier
Aldre berettiget til at studere
Tager imod sunde frivillige
Køn, der er berettiget til at studere
Beskrivelse
Inclusion Criteria:
- women with confirmed GDM or at risk for this disease. Pregnancies > 10 weeks of gestation, primipara and multipara.
Exclusion Criteria:
- pregnancies < 10 weeks of gestation, congenital malformations of the fetus
Studieplan
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Forebyggelse
- Tildeling: N/A
- Interventionel model: Enkelt gruppeopgave
- Maskning: Ingen (Åben etiket)
Våben og indgreb
Deltagergruppe / Arm |
Intervention / Behandling |
|---|---|
|
Eksperimentel: Remote monitoring group
Women (at risk of) GDM will be included in this study.
They receive a iHealth Align (a glucose monitor) and associated glycemiestrips.
The app of iHealth will be downloaded on the pregnant women's Smartphone to collect the data and to send them to the researcher in the hospital.
|
remote monitor glucometer
|
Hvad måler undersøgelsen?
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
|
Blood glucose sober
Tidsramme: an average of 30 weeks
|
The women is asked to perform four glycemie controls/day (sober and two hours after every mail) with the received glucose monitor. The monitor is connected via Wi-Fi and Bluetooth with the computer of the researches who controls and evaluated these data. Has both mother and child advantages when the mother is screened and provided with the remote monitoring devices? is RM acceptable to use in the prenatal care for GDM and does it have in added value in gestational outcomes? |
an average of 30 weeks
|
|
Weight once a day
Tidsramme: an average of 30 weeks
|
the pregnant women has to check daily her body weight with a weight scale of her own. They have to upload these data manually in the app on her smartphone. Has both mother and child advantages when the mother is screened and provided with the remote monitoring devices? is RM acceptable to use in the prenatal care for GDM and does it have in added value in gestational outcomes? |
an average of 30 weeks
|
|
blood glucose 2 hours after meal 1
Tidsramme: an average of 30 weeks
|
The women is asked to perform four glycemie controls/day (sober and two hours after every mail) with the received glucose monitor. The monitor is connected via Wi-Fi and Bluetooth with the computer of the researches who controls and evaluated these data. Has both mother and child advantages when the mother is screened and provided with the remote monitoring devices? is RM acceptable to use in the prenatal care for GDM and does it have in added value in gestational outcomes? |
an average of 30 weeks
|
|
blood glucose 2 hours after meal 2
Tidsramme: through study completion
|
The women is asked to perform four glycemie controls/day (sober and two hours after every mail) with the received glucose monitor. The monitor is connected via Wi-Fi and Bluetooth with the computer of the researches who controls and evaluated these data. Has both mother and child advantages when the mother is screened and provided with the remote monitoring devices? is RM acceptable to use in the prenatal care for GDM and does it have in added value in gestational outcomes? |
through study completion
|
|
blood glucose 2 hours after meal 3
Tidsramme: an average of 30 weeks
|
The women is asked to perform four glycemie controls/day (sober and two hours after every mail) with the received glucose monitor. The monitor is connected via Wi-Fi and Bluetooth with the computer of the researches who controls and evaluated these data. Has both mother and child advantages when the mother is screened and provided with the remote monitoring devices? is RM acceptable to use in the prenatal care for GDM and does it have in added value in gestational outcomes? |
an average of 30 weeks
|
Samarbejdspartnere og efterforskere
Sponsor
Efterforskere
- Ledende efterforsker: Wilfried Gyselaers, prof. dr., Hasselt University
Datoer for undersøgelser
Studer store datoer
Studiestart (Faktiske)
Primær færdiggørelse (Faktiske)
Studieafslutning (Faktiske)
Datoer for studieregistrering
Først indsendt
Først indsendt, der opfyldte QC-kriterier
Først opslået (Faktiske)
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidst verificeret
Mere information
Begreber relateret til denne undersøgelse
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
- PRM-001
Plan for individuelle deltagerdata (IPD)
Planlægger du at dele individuelle deltagerdata (IPD)?
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