E-health support for families of preterm born children
Official title: E-health-supported Recording of Psychological and Somatic Problems, Risk and Resilience Factors of Premature Born Infants and Their Families and Individualized, Interdisciplinary Stepped-care Approach
Run by University Hospital Tuebingen · NCT06939192 · Data updated 2026-11-12
This study is testing whether an app can help families of premature babies by providing support and information to improve their care after leaving the hospital.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 28 Weeks to 34 Weeks |
| Sex | All |
| Enrollment | 120 (estimated) |
| Sponsor | University Hospital Tuebingen Academic / other |
| Locations | 1 site (Tübingen, Baden-Wurttemberg) |
| Status | Recruiting |
| Started | January 31, 2024 |
| Main results expected | December 31, 2027 |
| Study ends | December 31, 2027 |
| Registry record updated | June 9, 2026 |
| Trial ID | NCT06939192 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include premature infants born between 28-34 weeks of gestation and their mothers who are at least 18 years old and can communicate in German.
✕Probably not a fit
Patients who are born before 28 weeks or after 34 weeks of gestation, or those with serious health issues, may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This project focuses on improving the post-hospital care of families with premature babies by utilizing an app-based diagnostic and support approach. It aims to identify risk and protective factors affecting the psychological and physical outcomes of preterm infants and their families. The study involves a longitudinal design with an experimental group receiving the app intervention and a control group receiving treatment as usual. Participants will be monitored at multiple time points after hospital discharge to assess the effectiveness of the intervention and gather qualitative feedback through focus groups.
Why it matters
Potential benefit: If successful, this approach could enhance the resilience and overall well-being of preterm born children and their families.
How similar studies have gone: Other studies have shown promise in using e-health interventions for similar populations, indicating potential for success in this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Premature babies born at the UKT, * Gestational age 28-34 weeks, * Mother: age ≥ 18 years, * agreement to participate in this study and signing of a consent form, * sufficient knowledge of German, * internet access Exclusion Criteria: * Premature babies \< 28th or \>34th week of pregnancy, * at least one of the children has serious diseases of the nervous system or obvious symptoms of a nervous disease, * at least one of the children has serious congenital diseases or suffers from malformations, * Mother: Lack of access to a smartphone/tablet, * no internet access, * insufficient knowledge of German
Where it's running
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University Hospital Tuebingen
Tübingen, Baden-Wurttemberg, Germany Recruiting
Study contacts
- Principal investigator: Annette Conzelmann, Prof. Dr. — Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Tübingen
- Study coordinator: Annette Conzelmann, Prof.Dr.
- Email: annette.conzelmann@med.uni-tuebingen.de
- Phone: 00497071/29-87513
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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This study tests whether an AI model for predicting preterm birth performs differently when cervical ultrasound images are taken with different imaging settings.
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.