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

ABSTRACT: 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.

SUBMITTER: Lanssens D

PROVIDER: S-EPMC5891672 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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

Lanssens Dorien D Vandenberk Thijs T Smeets Christophe Jp CJ De Cannière Hélène H Vonck Sharona S Claessens Jade J Heyrman Yenthel Y Vandijck Dominique D Storms Valerie V Thijs Inge M IM Grieten Lars L Gyselaers Wilfried W

Journal of medical Internet research 20180326 3

<h4>Background</h4>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.<h4>Objective</h4>The aim of this study was to assess the costs of remote monitoring versus conventional care relative ...[more]

PMID: 29581094

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Project description:BACKGROUND:Observational 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. METHODS:After providing written consent, 3922 pregnant women aged ?18?years 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. DISCUSSION:To 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 REGISTRATION:This 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 .

Project description:BackgroundOver the past decade there have been rapid advancements in telemedicine and mobile health technology (mHealth) and rapid increases in adoption of these technologies among OB-GYN providers. Mobile technology is routinely used in the general adult population to simplify monitoring of food intake and weight. Studies have demonstrated that weight loss achieved via remote monitoring, through use of wi-fi scales and web applications, is similar to weight loss achieved with in-person support. These technologies also increase flexibility for subjects and providers. However, there has been limited large-scale research to evaluate the use of these technologies to improve adherence to weight-gain recommendations during pregnancy.ObjectivesTo evaluate gestational weight gain tracking in a large low-risk obstetrical population using remote patient monitoring and a mobile phone app.MethodsSelf-reported age, height, estimated due date, and weight data were extracted from low-risk, singleton pregnancies entered from 50,769 participants who were enrolled in the BabyScripts TM phone app between 1 January 2016 and 1 March 2020. After data cleaning, 15,468 participants were included the final analysis. Linear regression and Spearman's correlation were used to examine the relationships between total weight gain, rate of weight gain, body mass index (BMI), postpartum weight loss, and app engagement.ResultsThe average weight gain in the first, second, and third trimester were 0.09 ± 1.8 kg, 4.2 ± 3.3 kg, and 3.9 ± 3.9 kg, respectively. The average rate of weight gain per week for the second and third trimesters were 0.5 ± 0.4 kg/wk and 0.6 ± 0.8 kg/wk, respectively. Participants with higher initial BMI had slower rate of weight gain than those with lower initial BMI (r = -0.24, r = -0.05, for second and third trimester, respectively). Overall, 21.4% of participants met the Institutes of Medicine (IOM) recommendation for total weight gain during pregnancy. Patients who were highly engaged with the mobile app had increased adherence to the IOM guidelines (29.8% vs. 9.4%, p < 0.001). A larger proportion of highly engaged patients adhered to the IOM guidelines for rate of weight gain in the second and third trimester, compared to the lowest engaged patients (12.7% vs. 6.8%, p < 0.001). On average, participants lost 8.8 ± 3.3 kg over an average of 8.1 ± 4.6 weeks in the immediate postpartum period. This weight loss was positively associated with engagement (r = 0.3, p < 0.001).CommentsEngagement with the mobile app was associated with increased adherence to the IOM gestational weight gain guidelines and with increased postpartum weight loss. Use of remote patient monitoring in conjunction with mHealth technology may be a strategy to improve adherence to IOM guidelines.

Project description:BackgroundAlthough 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).ObjectiveThe aim of this study was to evaluate the added value of a remote follow-up program for pregnant women diagnosed with GHD.MethodsA 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.ResultsOf 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.ConclusionsAn 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.

Project description:BackgroundLifestyle interventions (diet, physical activity and/or behavioural) to optimise gestational weight gain can prevent adverse maternal outcomes such as gestational diabetes, pre-eclampsia and caesarean section.ObjectiveWe aimed to model the cost effectiveness of lifestyle interventions during pregnancy on reducing adverse maternal outcomes.MethodsDecision tree modelling was used to determine the cost effectiveness of lifestyle interventions compared with usual care on preventing cases of gestational diabetes and hypertensive disease in pregnancy. Participants were pregnant women receiving routine antenatal care in secondary and tertiary care hospitals. The main outcome measures were cases of gestational diabetes and/or hypertensive disease in pregnancy prevented, costs, and incremental cost-effectiveness ratios. Analysis was conducted from the perspective of the Australian healthcare system, with a time horizon of early pregnancy to discharge after birth.ResultsWomen in the intervention group were 2.25% less likely to have gestational diabetes and/or hypertensive disease in pregnancy (9.53%) compared with the control group (11.78%). Intervention costs were Australian dollars (AUD) 228 per person. Costs were AUD33 per person higher in the intervention group (AUD8281) than the control group (AUD8248). The incremental cost-effectiveness ratio was AUD1470 per case prevented. Sensitivity analysis showed that base-case results were robust. In the probabilistic sensitivity analysis, 44.8% of data points fell within the north-east quadrant, and 52.2% in the south-east quadrant (cost saving), with a 95% confidence interval ranging from AUD - 50,018 to 32,779 per case prevented.ConclusionsWhile there is no formally accepted cost-effectiveness threshold for willingness-to-pay to prevent an adverse maternal event, the cost per person receiving a lifestyle intervention compared with controls was close to neutral, and therefore likely to be cost effective. Exploration of the cost effectiveness of different lifestyle delivery modes across various models of antenatal care is now required. Future cost-effectiveness studies should investigate longer time horizons, quality-adjusted life-years and productivity loss.Trial registrationNot applicable.

Project description:BackgroundWomen with gestational diabetes mellitus have an increased risk of developing gestational hypertension, which can increase fetal and neonatal morbidity and mortality. In the past decade, single nucleotide polymorphisms in several genes have been identified as risk factors for development of gestational hypertension. The epidermal growth factor receptor activates tyrosine kinase mediated blood vessels contractility; and inflammatory cascades. Abnormalities in these mechanism are known to contribute towards hypertension. It is thus plausible that polymorphisms in the epidermal growth factor receptor gene would be associated with the development of hypertension in women with gestational diabetes.AimTo determine whether the epidermal growth factor receptor rs17337023 SNP is associated with the occurrence of hypertension in gestational diabetic women.MethodsThis pilot case-control study was conducted at two tertiary care hospitals in Karachi, from January 2017-August 2018. Two hundred and two women at 28 week of gestation with gestational diabetes were recruited and classified into normotensive (n = 80) and hypertensive (n = 122) groups. Their blood samples were genotyped for epidermal growth factor receptor polymorphism rs17337023 using tetra-ARMS polymerase chain reaction. Descriptive analysis was applied on baseline data. Polymorphism data was analyzed for genotype and allele frequency determination using chi-squared statistics. In all cases, a P value of < 0.05 was considered significant.ResultsSubjects were age-matched and thus no difference was observed in relation to age of the study subjects (P >0.05). Body fat percentage was significantly higher in hypertensive females as compared to normotensive subjects (35.138 ± 4.29 Case vs 25.01 ± 8.28 Control; P < 0.05). Similarly, systolic and diastolic blood pressures among groups were significantly higher in hypertensive group than the normotensive group (P < 0.05). Overall epidermal growth factor receptor rs17337023 polymorphism genotype frequency was similar in both groups, with the heterozygous AT genotype (56 in Case vs 48 in Control; P = 0. 079) showing predominance in both groups. Furthermore, the odds ratio for A allele was 1.282 (P = 0.219) and for T allele was 0.780 (P = 0.221) in this study.ConclusionThis pilot study indicates that polymorphisms in rs17337023 may not be involved in the pathophysiology of gestational hypertension in gestational diabetes via inflammatory cascade mechanism. Further large-scale studies should explore polymorphism in epidermal growth factor receptor and other genes in this regard.

Project description:BackgroundPhthalates are endocrine disrupting chemicals that may influence weight status; however, few studies have considered weight gain during pregnancy and subsequent long-term weight changes in women.ObjectiveTo determine associations of prenatal phthalate exposure with maternal weight during pregnancy and through up to seven years post-delivery.MethodsWe analyzed 15 urinary phthalate biomarker concentrations during the 2nd and 3rd trimesters among 874 pregnant women enrolled in the Programming Research in Obesity, Growth Environment and Social Stress Study in Mexico City. We examined three time-specific maternal weight outcomes: gestational weight gain (between 2nd and 3rd trimesters), short-term weight (between 3rd trimester and 12 months post-delivery), and long-term weight (between 18 months and 6-7 years post-delivery). We used Bayesian Kernel Machine Regression (BKMR) to estimate associations for the total phthalate mixture, as well as multivariable linear mixed models for individual phthalate biomarkers.ResultsAs a mixture, 2nd trimester urinary phthalate biomarker concentrations were associated with somewhat lower gestational weight gain between the 2nd and 3rd trimesters (interquartile range, IQR, difference: -0.07 standard deviations, SD; 95% credible interval, CrI: -0.20, 0.06); multivariable regression and BKMR models indicated that this inverse association was primarily driven by mono-2-ethyl-5-carboxypentyl terephthalate (MECPTP). Prenatal (2nd and 3rd trimesters) urinary phthalate mixture concentrations were positively associated with maternal weight change through 12 months postpartum (IQR difference: 0.11 SD; 95% CrI: 0.00, 0.23); these associations persisted from 18 months to 6-7 years follow-up (IQR difference: 0.07 SD; 95% CrI: 0.04, 0.10). Postpartum weight changes were associated with mono-3-carboxypropyl phthalate (MCPP) and MECPTP.ConclusionsPrenatal phthalate exposure was inversely associated with gestational weight gain and positively associated with long-term changes in maternal weight. Further investigation is required to understand how phthalates may influence body composition and whether they contribute to the development of obesity and other cardiometabolic diseases in women.

Project description:BackgroundThe Pregnancy Remote Monitoring (PREMOM) study enrolled pregnant women at increased risk of developing hypertensive disorders of pregnancy and investigated the effect of remote monitoring in addition to their prenatal follow-up.ObjectiveThe objective of this study was to investigate the perceptions and experiences of remote monitoring among mothers, midwives, and obstetricians who participated in the PREMOM study.MethodsWe developed specific questionnaires for the mothers, midwives, and obstetricians addressing 5 domains: (1) prior knowledge and experience of remote monitoring, (2) reactions to abnormal values, (3) privacy, (4) quality and patient safety, and (5) financial aspects. We also questioned the health care providers about which issues they considered important when implementing remote monitoring. We used a 5-point Likert scale to provide objective scores. It was possible to add free-text feedback at every question.ResultsA total of 91 participants completed the questionnaires. The mothers, midwives, and obstetricians reported positive experiences and perceptions of remote monitoring, although most of them had no or little prior experience with this technology. They supported a further rollout of remote monitoring in Belgium. Nearly three-quarters of the mothers (34/47, 72%) did not report any problems with taking the measurements at the required times. Almost half of the mothers (19/47, 40%) wanted to be contacted within 3 to 12 hours after abnormal measurement values, preferably by telephone.ConclusionsAlthough most of midwives and obstetricians had no or very little experience with remote monitoring before enrolling in the PREMOM study, they reported, based on their one-year experience, that remote monitoring was an important component in the follow-up of high-risk pregnancies and would recommend it to their colleagues and pregnant patients.Trial registrationClinicalTrials.gov NCT03246737; https://clinicaltrials.gov/ct2/show/NCT03246737 (Archived by WebCite at http://www.webcitation.org/76KVnHSYY).

Dataset Information

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

Publications

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

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