Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24168
Title: Remote Monitoring of Hypertension Diseases in Pregnancy: A Pilot Study
Authors: LANSSENS, Dorien 
VANDENBERK, Thijs 
SMEETS, Christophe 
DE CANNIERE, Helene 
STORMS, Valerie 
MOLENBERGHS, Geert 
Van Moerbeke, Anne
van den Hoogen, Anne
Robijns, Tiziana
VONCK, Sharona 
STAELENS, Anneleen 
THIJS, Inge 
GRIETEN, Lars 
GYSELAERS, Wilfried 
Issue Date: 2017
Publisher: JMIR PUBLICATIONS, INC
Source: JMIR MHEALTH AND UHEALTH, 5(3) (Art N° e25)
Abstract: Background: Although remote monitoring (RM) has proven its added value in various health care domains, little is known about the remote follow-up of pregnant women diagnosed with a gestational hypertensive disorders (GHD). Objective: The aim of this study was to evaluate the added value of a remote follow-up program for pregnant women diagnosed with GHD. Methods: A 1-year retrospective study was performed in the outpatient clinic of a 2nd level prenatal center where pregnant women with GHD received RM or conventional care (CC). Primary study endpoints include number of prenatal visits and admissions to the prenatal observation ward. Secondary outcomes include gestational outcome, mode of delivery, neonatal outcome, and admission to neonatal intensive care (NIC). Differences in continuous and categorical variables in maternal demographics and characteristics were tested using Unpaired Student's two sampled t test or Mann-Whitney U test and the chi-square test. Both a univariate and multivariate analysis were performed for analyzing prenatal follow-up and gestational outcomes. All statistical analyses were done at nominal level, Cronbach alpha=.05. Results: Of the 166 patients diagnosed with GHD, 53 received RM and 113 CC. After excluding 5 patients in the RM group and 15 in the CC group because of the missing data, 48 patients in RM group and 98 in CC group were taken into final analysis. The RM group had more women diagnosed with gestational hypertension, but less with preeclampsia when compared with CC (81.25% vs 42.86% and 14.58% vs 43.87%). Compared with CC, univariate analysis in RM showed less induction, more spontaneous labors, and less maternal and neonatal hospitalizations (48.98% vs 25.00%; 31.63% vs 60.42%; 74.49% vs 56.25%; and 27.55% vs 10.42%). This was also true in multivariate analysis, except for hospitalizations. Conclusions: An RM follow-up of women with GHD is a promising tool in the prenatal care. It opens the perspectives to reverse the current evolution of antenatal interventions leading to more interventions and as such to ever increasing medicalized antenatal care.
Notes: [Lanssens, Dorien; Vandenberk, Thijs; Smeets, Christophe J. P.; De Canniere, Helene; Van Moerbeke, Anne; van den Hoogen, Anne; Robijns, Tiziana; Storms, Valerie; Thijs, Inge M.; Grieten, Lars; Gyselaers, Wilfried] Hasselt Univ, Mobile Hlth Unit, Fac Med & Life Sci, Martelarenlaan 42, B-3500 Hasselt, Belgium. [Lanssens, Dorien; Vonck, Sharona; Staelens, Anneleen; Gyselaers, Wilfried] Ziekenhuis Oost Limburg, Dept Gynaecol, Genk, Belgium. [Molenberghs, Geert] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Hasselt, Belgium. [Molenberghs, Geert] KULeuven, Hasselt, Belgium. [Thijs, Inge M.] Ziekenhuis Oost Limburg, Future Hlth Dept, Genk, Belgium. [Gyselaers, Wilfried] Hasselt Univ, Dept Physiol, Hasselt, Belgium.
Keywords: pregnancy; gestational hypertension disorders; eHealth; remote monitoring;pregnancy; gestational hypertension disorders; eHealth; remote monitoring
Document URI: http://hdl.handle.net/1942/24168
ISSN: 2291-5222
e-ISSN: 2291-5222
DOI: 10.2196/mhealth.6552
ISI #: 000395837200006
Rights: © Dorien Lanssens, Thijs Vandenberk, Christophe JP Smeets, Hélène De Cannière, Geert Molenberghs, Anne Van Moerbeke, Anne van den Hoogen, Tiziana Robijns, Sharona Vonck, Anneleen Staelens, Valerie Storms, Inge M Thijs, Lars Grieten, Wilfried Gyselaers. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 09.03.2017. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
Category: A1
Type: Journal Contribution
Validations: ecoom 2018
Appears in Collections:Research publications

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