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Pregnancy care is under increasing pressure due to a rising number of women needing medical care, a shortage of obstetric healthcare professionals, and growing healthcare costs. For women with high-risk pregnancies, this often leads to frequent hospital visits or admissions for monitoring, which can be stressful and time consuming. Remote digital care offers a promising alternative by allowing pregnant individuals to perform monitoring from home while remaining under medical supervision.
This study will evaluate the use of telemonitoring in pregnancy care in four European hospitals. Participants with high-risk pregnancies who require frequent cardiotocography (CTG) monitoring and blood pressure (BP) measurements will use certified home devices to record fetal and maternal health data. Instead of hospital-based monitoring, CTG and BP measurements will be performed at home and assessed by trained healthcare professionals.
The main purpose of the study is to investigate whether home monitoring is a safe and acceptable alternative to in-hospital monitoring, and to identify what is needed for successful national and international implementation of remote digital pregnancy care. The investigators will collect clinical and implementation outcomes. By doing so, this study aims to keep pregnancy care accessible for all women, improve patient well-being, and reduce pressure on the healthcare system.
Full description
This study investigates the implementation and effectiveness of telemonitoring using cardiotocography (CTG) and blood pressure (BP) home monitoring in four European academic hospitals. RDPC allows pregnant individuals with high-risk complications to conduct CTG recordings at home, which are then reviewed by trained obstetric healthcare providers through secure digital platforms. This approach has the potential to replace hospital-based monitoring, reduce healthcare consumption, and improve patient well-being while maintaining safety.
The study is conducted in four tertiary referral centers for obstetric care: University Medical Center Utrecht and Erasmus Medical Center in the Netherlands, Vall d'Hebron University Hospital in Spain, and Karolinska University Hospital in Sweden. These hospitals serve large and diverse populations and have extensive experience with managing high-risk pregnancies, providing an international perspective on the implementation and effectiveness of RDPC.
Telemonitoring will be conducted with CE-certified CTG devices (PregnaBit Pro with PregnaOne Platform or Mosos CTG by ICT/HCTS, or the Nemo fetal monitoring system by Nemo Healthcare), and in some centers, blood pressure will be monitored using Microlife WatchBP devices. All devices are CE-certified and not classified as investigational products in this study.
The study follows a hybrid type 2 implementation-effectiveness design. First, this study will assess clinical outcomes of participants undergoing telemonitoring. The study will investigate adverse maternal and perinatal outcomes to ensure that home monitoring is a safe alternative to hospital-based care. To further assess the clinical effectiveness of telemonitoring, investigators will evaluate health care consumption of pregnant participants during telemonitoring, such as the number of days each participant received telemonitoring and number and indications of unplanned hospital visits and admissions. These data will provide insight into the health care demands associated with the telemonitoring care pathways. These measures will provide valuable insights into the efficiency and scalability of telemonitoring.
In addition to clinical outcomes, this study will evaluate implementation outcomes across three sequential phases: pre-implementation, implementation, and post-implementation. Outcomes are based on the taxonomy of Proctor et al., including acceptability, adoption, appropriateness, feasibility, fidelity, costs, penetration, and sustainability. Implementation data will be collected from patients and obstetric healthcare professionals, and hospital systems through questionnaires, interviews, and structured data analyses.
Data will be collected and managed in Castor EDC, a GCP-classified web-based data management platform. Data entry will be performed by local research teams, with centralized oversight and quality assurance procedures. Analyses will include descriptive statistics, logistic regression to evaluate the composite clinical endpoint, and regression models to identify factors influencing implementation success.
Ultimately, this study aims to generate knowledge, recommendations, and scalable care models that enable sustainable nationwide and international integration of remote digital pregnancy care, keeping care accessible while reducing system pressure and costs.
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450 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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