Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/32811
Title: Design of the Pregnancy REmote MOnitoring II study (PREMOM II): a multicenter, randomized controlled trial of remote monitoring for gestational hypertensive disorders
Authors: LANSSENS, Dorien 
THIJS, Inge 
GYSELAERS, Wilfried 
Corporate Authors: PREMOM II – consortium
Issue Date: 2020
Publisher: BMC
Source: BMC pregnancy and childbirth (Online), 20 (1) (Art N° 626)
Abstract: BackgroundObservational data from the retrospective, non-randomized Pregnancy REmote MOnitoring I (PREMOM I) study showed that remote monitoring (RM) may be beneficial for prenatal observation of women at risk for gestational hypertensive disorders (GHD) in terms of clinical outcomes, health economics, and stakeholder perceptions. PREMOM II is a prospective, randomized, multicenter follow-up study that was performed to explore these promising results.MethodsAfter providing written consent, 3922 pregnant women aged >= 18years who are at increased risk of developing GHD will be randomized (1:1:1 ratio) to (a) conventional care (control group), (b) a patient self-monitoring group, and (c) a midwife-assisted RM group. The women in each group will be further divided (1:1 ratio) to evaluate the outcomes of targeted or non-targeted (conventional) antihypertensive medication. Women will be recruited in five hospitals in Flanders, Belgium: Ziekenhuis Oost-Limburg, Universitaire Ziekenhuis Antwerpen, Universitaire Ziekenhuis Leuven, AZ Sint Jan Brugge-Oostende, and AZ Sint Lucas Brugge. The primary outcomes are: (1) numbers and types of prenatal visits; (2) maternal outcomes; (3) neonatal outcomes; (4) the applicability and performance of RM; and (5) compliance with RM and self-monitoring. The secondary outcomes are: (1) cost-effectiveness and willingness to pay; (2) patient-reported outcome measures (PROMS) questionnaires on the experiences of the participants; and (3) the maternal and perinatal outcomes according to the type of antihypertensive medication. Demographic, and maternal and neonatal outcomes are collected from the patients' electronic records. Blood pressure and compliance rate will be obtained from an online digital coordination platform for remote data handling. Information about the healthcare-related costs will be obtained from the National Coordination Committee of Belgian Health Insurance Companies (Intermutualistisch Agentschap). PROMS will be assessed using validated questionnaires.DiscussionTo our knowledge, this is the first randomized trial comparing midwife-assisted RM and self-monitoring of prenatal blood pressure versus conventional management among women at increased risk of GHD. Positive results of this study may lead to a practical framework for caregivers, hospital management, and payers to introduce RM into the prenatal care programs of high-risk pregnancies.Trial registrationThis study was registered on clinicaltrials.gov, identification number NCT04031430. Registered 24 July 2019, https://clinicaltrials.gov/ct2/show/NCT04031430?cond=premom+ii&draw=2&rank=1.
Notes: Lanssens, D (corresponding author), Ziekenhuis Oost Limburg, Limburg Clin Res Ctr, Future Hlth Dept, Mobile Hlth Unit, Genk, Belgium.; Lanssens, D (corresponding author), Ziekenhuis Oost Limburg, Dept Obstet & Gynaecol, Genk, Belgium.
Dorien.lanssens@uhasselt.be
Other: Lanssens, D (corresponding author), Ziekenhuis Oost Limburg, Limburg Clin Res Ctr, Future Hlth Dept, Mobile Hlth Unit, Genk, Belgium. Dorien.lanssens@uhasselt.be
Keywords: Remote monitoring;Gestational hypertensive disorders;Pre-eclampsia
Document URI: http://hdl.handle.net/1942/32811
e-ISSN: 1471-2393
DOI: 10.1186/s12884-020-03291-2
ISI #: WOS:000581359700006
Rights: © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
s12884-020-03291-2.pdfPublished version1.3 MBAdobe PDFView/Open
Show full item record

WEB OF SCIENCETM
Citations

5
checked on Apr 24, 2024

Page view(s)

36
checked on Sep 6, 2022

Download(s)

8
checked on Sep 6, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.