- ICH GCP
- US Clinical Trials Registry
- Klinisk utprøving 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.
Studieoversikt
Studietype
Fase
- Ikke aktuelt
Kontakter og plasseringer
Studiesteder
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Genk, Belgia, 3600
- Ziekenhuis Oost-Limburg
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Deltakelseskriterier
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
Tar imot friske frivillige
Kjønn som er kvalifisert for studier
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 studiet utformet?
Designdetaljer
- Primært formål: Forebygging
- Tildeling: N/A
- Intervensjonsmodell: Enkeltgruppeoppdrag
- Masking: Ingen (Open Label)
Våpen og intervensjoner
Deltakergruppe / Arm |
Intervensjon / Behandling |
---|---|
Eksperimentell: 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
|
Hva måler studien?
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
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
|
Samarbeidspartnere og etterforskere
Sponsor
Etterforskere
- Hovedetterforsker: Wilfried Gyselaers, prof. dr., Hasselt University
Studierekorddatoer
Studer hoveddatoer
Studiestart (Faktiske)
Primær fullføring (Faktiske)
Studiet fullført (Faktiske)
Datoer for studieregistrering
Først innsendt
Først innsendt som oppfylte QC-kriteriene
Først lagt ut (Faktiske)
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Sist bekreftet
Mer informasjon
Begreper knyttet til denne studien
Ytterligere relevante MeSH-vilkår
Andre studie-ID-numre
- PRM-001
Plan for individuelle deltakerdata (IPD)
Planlegger du å dele individuelle deltakerdata (IPD)?
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