Adherence to digital pregnancy care – lessons learned from the SMART start feasibility study

Jäger K, Nissen M, Leutheuser H, Danzberger N, Titzmann A, Pontones C, Goossens C, Ziegler P, Uhrig S, Häberle L, Bleher H, Kast K, Kornhuber J, Schöffski O, Braun M, Fasching P, Beckmann M, Eskofier B, Hübner H (2025)

Publication Type: Journal article

Publication year: 2025

Journal

npj Digital Medicine Nature Research

Book Volume: 8

Article Number: 561

Issue: 1

DOI: 10.1038/s41746-025-01966-8

Abstract

The World Health Organization increasingly highlights the role of digital health technologies in supporting prenatal care. Despite this potential, the real-world implementation of such technologies remains limited, even in high-income countries with established analog systems. We developed a comprehensive digital pregnancy care framework, SMART Start and evaluated it in a prospective study involving 528 pregnant individuals in Germany. This study is registered at the German Clinical Trials Register (DRKS00036867). Participants were equipped with a mobile app and self-examination technologies. The mobile app featured study functionality, pregnancy-related questionnaires, digital maternity records, and pregnancy-supportive content. Self-examination technologies included a standard care kit for home measurements of routine prenatal care parameters (weight, blood pressure, urinalysis), and an innovative kit with novel sensors (smartwatch, sleep analyzer). Here, we analyzed the adherence to digital pregnancy care and present the lessons learned from a clinical and technical perspective. Among all participants, 49% engaged with at least one digital package. Weekly weight tracking reached adherence rates up to 67% in the first 14 weeks. Adherence to blood pressure and urinalysis measurements was lower, peaking at 20 and 28%, respectively, but remained stable over time. Questionnaire completion rates varied in dependence on their length and complexity. 31% of users disengaged at the time of registration. While overall retention time did not significantly differ across participant subgroups (all p > 0.05), adherence analyses revealed meaningful group-level differences in engagement with specific self-examination protocols. This discrepancy underscores that continued participation does not necessarily imply consistent engagement with all components of the digital care model. The adherence to the study schedule demonstrated that pregnant individuals are generally willing and capable of engaging in home-based, multimodal self-monitoring; however, the importance of adaptive scheduling, patient-centered feedback, agile development, and interdisciplinary collaboration should be addressed by future studies. The presented SMART Start framework offers a pathway towards data-driven, personalized pregnancy care while potentially reducing the demand for conventional healthcare infrastructure.

Authors with CRIS profile

Katharina Jäger Machine Learning and Data Analytics Lab Michael Nissen Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics) Adriana Titzmann Department of Obstetrics and Gynaecology Constanza Pontones Department of Obstetrics and Gynaecology Sabrina Uhrig Department of Obstetrics and Gynaecology Lothar Häberle Department of Obstetrics and Gynaecology Kristina Kast Lehrstuhl für Betriebswirtschaftslehre, insbesondere Gesundheitsmanagement Johannes Kornhuber Lehrstuhl für Psychiatrie und Psychotherapie Oliver Schöffski Lehrstuhl für Betriebswirtschaftslehre, insbesondere Gesundheitsmanagement Peter Fasching Professur für Translationale Frauenheilkunde und Geburtshilfe Matthias Beckmann Lehrstuhl für Geburtshilfe und Frauenheilkunde Björn Eskofier Machine Learning and Data Analytics Lab Hanna Hübner Department of Obstetrics and Gynaecology

Involved external institutions

Rheinische Friedrich-Wilhelms-Universität Bonn DE Germany (DE) Universität Bayreuth DE Germany (DE)

How to cite

APA:

Jäger, K., Nissen, M., Leutheuser, H., Danzberger, N., Titzmann, A., Pontones, C.,... Hübner, H. (2025). Adherence to digital pregnancy care – lessons learned from the SMART start feasibility study. npj Digital Medicine, 8. https://doi.org/10.1038/s41746-025-01966-8

MLA:

Jäger, Katharina, et al. "Adherence to digital pregnancy care – lessons learned from the SMART start feasibility study." npj Digital Medicine 8 (2025).

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