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Remote Monitoring of Hypertension Diseases in Pregnancy: A Pilot Study
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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364324/ https://www.ncbi.nlm.nih.gov/pubmed/28279948 http://dx.doi.org/10.2196/mhealth.6552 |
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author | Lanssens, Dorien Vandenberk, Thijs Smeets, Christophe JP De Cannière, Hélène Molenberghs, Geert Van Moerbeke, Anne van den Hoogen, Anne Robijns, Tiziana Vonck, Sharona Staelens, Anneleen Storms, Valerie Thijs, Inge M Grieten, Lars Gyselaers, Wilfried |
author_facet | Lanssens, Dorien Vandenberk, Thijs Smeets, Christophe JP De Cannière, Hélène Molenberghs, Geert Van Moerbeke, Anne van den Hoogen, Anne Robijns, Tiziana Vonck, Sharona Staelens, Anneleen Storms, Valerie Thijs, Inge M Grieten, Lars Gyselaers, Wilfried |
author_sort | Lanssens, Dorien |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5364324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-53643242017-04-06 Remote Monitoring of Hypertension Diseases in Pregnancy: A Pilot Study Lanssens, Dorien Vandenberk, Thijs Smeets, Christophe JP De Cannière, Hélène Molenberghs, Geert Van Moerbeke, Anne van den Hoogen, Anne Robijns, Tiziana Vonck, Sharona Staelens, Anneleen Storms, Valerie Thijs, Inge M Grieten, Lars Gyselaers, Wilfried JMIR Mhealth Uhealth Original Paper 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. JMIR Publications 2017-03-09 /pmc/articles/PMC5364324/ /pubmed/28279948 http://dx.doi.org/10.2196/mhealth.6552 Text en ©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. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://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. |
spellingShingle | Original Paper Lanssens, Dorien Vandenberk, Thijs Smeets, Christophe JP De Cannière, Hélène Molenberghs, Geert Van Moerbeke, Anne van den Hoogen, Anne Robijns, Tiziana Vonck, Sharona Staelens, Anneleen Storms, Valerie Thijs, Inge M Grieten, Lars Gyselaers, Wilfried Remote Monitoring of Hypertension Diseases in Pregnancy: A Pilot Study |
title | Remote Monitoring of Hypertension Diseases in Pregnancy: A Pilot Study |
title_full | Remote Monitoring of Hypertension Diseases in Pregnancy: A Pilot Study |
title_fullStr | Remote Monitoring of Hypertension Diseases in Pregnancy: A Pilot Study |
title_full_unstemmed | Remote Monitoring of Hypertension Diseases in Pregnancy: A Pilot Study |
title_short | Remote Monitoring of Hypertension Diseases in Pregnancy: A Pilot Study |
title_sort | remote monitoring of hypertension diseases in pregnancy: a pilot study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364324/ https://www.ncbi.nlm.nih.gov/pubmed/28279948 http://dx.doi.org/10.2196/mhealth.6552 |
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