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Prenatal Remote Monitoring of Women With Gestational Hypertensive Diseases: Cost Analysis

BACKGROUND: Remote monitoring in obstetrics is relatively new; some studies have shown its effectiveness for both mother and child. However, few studies have evaluated the economic impact compared to conventional care, and no cost analysis of a remote monitoring prenatal follow-up program for women...

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Autores principales: Lanssens, Dorien, Vandenberk, Thijs, Smeets, Christophe JP, De Cannière, Hélène, Vonck, Sharona, Claessens, Jade, Heyrman, Yenthel, Vandijck, Dominique, Storms, Valerie, Thijs, Inge M, Grieten, Lars, Gyselaers, Wilfried
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891672/
https://www.ncbi.nlm.nih.gov/pubmed/29581094
http://dx.doi.org/10.2196/jmir.9552
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author Lanssens, Dorien
Vandenberk, Thijs
Smeets, Christophe JP
De Cannière, Hélène
Vonck, Sharona
Claessens, Jade
Heyrman, Yenthel
Vandijck, Dominique
Storms, Valerie
Thijs, Inge M
Grieten, Lars
Gyselaers, Wilfried
author_facet Lanssens, Dorien
Vandenberk, Thijs
Smeets, Christophe JP
De Cannière, Hélène
Vonck, Sharona
Claessens, Jade
Heyrman, Yenthel
Vandijck, Dominique
Storms, Valerie
Thijs, Inge M
Grieten, Lars
Gyselaers, Wilfried
author_sort Lanssens, Dorien
collection PubMed
description BACKGROUND: Remote monitoring in obstetrics is relatively new; some studies have shown its effectiveness for both mother and child. However, few studies have evaluated the economic impact compared to conventional care, and no cost analysis of a remote monitoring prenatal follow-up program for women diagnosed with gestational hypertensive diseases (GHD) has been published. OBJECTIVE: The aim of this study was to assess the costs of remote monitoring versus conventional care relative to reported benefits. METHODS: Patient data from the Pregnancy Remote Monitoring (PREMOM) study were used. Health care costs were calculated from patient-specific hospital bills of Ziekenhuis Oost-Limburg (Genk, Belgium) in 2015. Cost comparison was made from three perspectives: the Belgian national health care system (HCS), the National Institution for Insurance of Disease and Disability (RIZIV), and costs for individual patients. The calculations were made for four major domains: prenatal follow-up, prenatal admission to the hospital, maternal and neonatal care at and after delivery, and total amount of costs. A simulation exercise was made in which it was calculated how much could be demanded of RIZIV for funding the remote monitoring service. RESULTS: A total of 140 pregnancies were included, of which 43 received remote monitoring (30.7%) and 97 received conventional care (69.2%). From the three perspectives, there were no differences in costs for prenatal follow-up. Compared to conventional care, remote monitoring patients had 34.51% less HCS and 41.72% less RIZIV costs for laboratory test results (HCS: mean €0.00 [SD €55.34] vs mean €38.28 [SD € 44.08], P<.001; RIZIV: mean €21.09 [SD €27.94] vs mean €36.19 [SD €41.36], P<.001) and a reduction of 47.16% in HCS and 48.19% in RIZIV costs for neonatal care (HCS: mean €989.66 [SD €3020.22] vs mean €1872.92 [SD €5058.31], P<.001; RIZIV: mean €872.97 [SD €2761.64] vs mean €1684.86 [SD €4702.20], P<.001). HCS costs for medication were 1.92% lower in remote monitoring than conventional care (mean €209.22 [SD €213.32] vs mean €231.32 [SD 67.09], P=.02), but were 0.69% higher for RIZIV (mean €122.60 [SD €92.02] vs mean €121.78 [SD €20.77], P<.001). Overall HCS costs for remote monitoring were mean €4233.31 (SD €3463.31) per person and mean €4973.69 (SD €5219.00) per person for conventional care (P=.82), a reduction of €740.38 (14.89%) per person, with savings mainly for RIZIV of €848.97 per person (23.18%; mean €2797.42 [SD €2905.18] vs mean €3646.39 [SD €4878.47], P=.19). When an additional fee of €525.07 per month per pregnant woman for funding remote monitoring costs is demanded, remote monitoring is acceptable in their costs for HCS, RIZIV, and individual patients. CONCLUSIONS: In the current organization of Belgian health care, a remote monitoring prenatal follow-up of women with GHD is cost saving for the global health care system, mainly via savings for the insurance institution RIZIV.
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spelling pubmed-58916722018-04-16 Prenatal Remote Monitoring of Women With Gestational Hypertensive Diseases: Cost Analysis Lanssens, Dorien Vandenberk, Thijs Smeets, Christophe JP De Cannière, Hélène Vonck, Sharona Claessens, Jade Heyrman, Yenthel Vandijck, Dominique Storms, Valerie Thijs, Inge M Grieten, Lars Gyselaers, Wilfried J Med Internet Res Original Paper BACKGROUND: Remote monitoring in obstetrics is relatively new; some studies have shown its effectiveness for both mother and child. However, few studies have evaluated the economic impact compared to conventional care, and no cost analysis of a remote monitoring prenatal follow-up program for women diagnosed with gestational hypertensive diseases (GHD) has been published. OBJECTIVE: The aim of this study was to assess the costs of remote monitoring versus conventional care relative to reported benefits. METHODS: Patient data from the Pregnancy Remote Monitoring (PREMOM) study were used. Health care costs were calculated from patient-specific hospital bills of Ziekenhuis Oost-Limburg (Genk, Belgium) in 2015. Cost comparison was made from three perspectives: the Belgian national health care system (HCS), the National Institution for Insurance of Disease and Disability (RIZIV), and costs for individual patients. The calculations were made for four major domains: prenatal follow-up, prenatal admission to the hospital, maternal and neonatal care at and after delivery, and total amount of costs. A simulation exercise was made in which it was calculated how much could be demanded of RIZIV for funding the remote monitoring service. RESULTS: A total of 140 pregnancies were included, of which 43 received remote monitoring (30.7%) and 97 received conventional care (69.2%). From the three perspectives, there were no differences in costs for prenatal follow-up. Compared to conventional care, remote monitoring patients had 34.51% less HCS and 41.72% less RIZIV costs for laboratory test results (HCS: mean €0.00 [SD €55.34] vs mean €38.28 [SD € 44.08], P<.001; RIZIV: mean €21.09 [SD €27.94] vs mean €36.19 [SD €41.36], P<.001) and a reduction of 47.16% in HCS and 48.19% in RIZIV costs for neonatal care (HCS: mean €989.66 [SD €3020.22] vs mean €1872.92 [SD €5058.31], P<.001; RIZIV: mean €872.97 [SD €2761.64] vs mean €1684.86 [SD €4702.20], P<.001). HCS costs for medication were 1.92% lower in remote monitoring than conventional care (mean €209.22 [SD €213.32] vs mean €231.32 [SD 67.09], P=.02), but were 0.69% higher for RIZIV (mean €122.60 [SD €92.02] vs mean €121.78 [SD €20.77], P<.001). Overall HCS costs for remote monitoring were mean €4233.31 (SD €3463.31) per person and mean €4973.69 (SD €5219.00) per person for conventional care (P=.82), a reduction of €740.38 (14.89%) per person, with savings mainly for RIZIV of €848.97 per person (23.18%; mean €2797.42 [SD €2905.18] vs mean €3646.39 [SD €4878.47], P=.19). When an additional fee of €525.07 per month per pregnant woman for funding remote monitoring costs is demanded, remote monitoring is acceptable in their costs for HCS, RIZIV, and individual patients. CONCLUSIONS: In the current organization of Belgian health care, a remote monitoring prenatal follow-up of women with GHD is cost saving for the global health care system, mainly via savings for the insurance institution RIZIV. JMIR Publications 2018-03-26 /pmc/articles/PMC5891672/ /pubmed/29581094 http://dx.doi.org/10.2196/jmir.9552 Text en ©Dorien Lanssens, Thijs Vandenberk, Christophe JP Smeets, Hélène De Cannière, Sharona Vonck, Jade Claessens, Yenthel Heyrman, Dominique Vandijck, Valerie Storms, Inge M Thijs, Lars Grieten, Wilfried Gyselaers. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 26.03.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.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
Vonck, Sharona
Claessens, Jade
Heyrman, Yenthel
Vandijck, Dominique
Storms, Valerie
Thijs, Inge M
Grieten, Lars
Gyselaers, Wilfried
Prenatal Remote Monitoring of Women With Gestational Hypertensive Diseases: Cost Analysis
title Prenatal Remote Monitoring of Women With Gestational Hypertensive Diseases: Cost Analysis
title_full Prenatal Remote Monitoring of Women With Gestational Hypertensive Diseases: Cost Analysis
title_fullStr Prenatal Remote Monitoring of Women With Gestational Hypertensive Diseases: Cost Analysis
title_full_unstemmed Prenatal Remote Monitoring of Women With Gestational Hypertensive Diseases: Cost Analysis
title_short Prenatal Remote Monitoring of Women With Gestational Hypertensive Diseases: Cost Analysis
title_sort prenatal remote monitoring of women with gestational hypertensive diseases: cost analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891672/
https://www.ncbi.nlm.nih.gov/pubmed/29581094
http://dx.doi.org/10.2196/jmir.9552
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