Related Experiment Video
Updated: May 12, 2026

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
Adherence to digital pregnancy care - lessons learned from the SMART start feasibility study
Katharina M Jaeger1, Michael Nissen2, Heike Leutheuser3
1Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany. katharina.jaeger@fau.de.
Pregnant individuals showed willingness for home-based digital prenatal care using the SMART Start framework. Adherence varied, highlighting the need for adaptive scheduling and patient-centered feedback in digital health technologies.
Area of Science:
- Digital health
- Maternal health
- Healthcare technology adoption
Background:
- The World Health Organization advocates for digital health in prenatal care.
- Real-world implementation of digital prenatal care is limited, even in high-income countries.
- Existing analog systems present challenges for integrating new digital solutions.
Purpose of the Study:
- To evaluate the adherence and clinical/technical lessons learned from the SMART Start digital pregnancy care framework.
- To assess the feasibility of home-based, multimodal self-monitoring in pregnant individuals.
- To identify factors influencing engagement with digital prenatal care technologies.
Main Methods:
- A prospective study involving 528 pregnant individuals in Germany using the SMART Start framework.
- Participants utilized a mobile app for questionnaires, records, and content, alongside self-examination kits.
- Kits included standard measurements (weight, blood pressure, urinalysis) and novel sensors (smartwatch, sleep analyzer).
Main Results:
- 49% of participants engaged with at least one digital package; weekly weight tracking adherence reached 67% initially.
- Adherence for blood pressure (20%) and urinalysis (28%) was lower but stable; questionnaire completion varied.
- 31% disengaged at registration; while overall retention was similar across groups, engagement with specific self-monitoring varied.
Conclusions:
- Pregnant individuals are capable of home-based self-monitoring, but consistent engagement requires adaptive scheduling and patient-centered feedback.
- The SMART Start framework demonstrates potential for data-driven, personalized pregnancy care.
- Future digital health studies must prioritize adaptive design, patient feedback, and interdisciplinary collaboration for successful implementation.
Related Concept Videos
Nursing Implementation
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
Intrauterine Drug Delivery Systems
Development of the Oral Microbiota

