Actively Recruiting
E-health-supported Diagnostic and Intervention in Preterm Born Children and Their Families
Led by University Hospital Tuebingen · Updated on 2025-04-22
60
Participants Needed
1
Research Sites
152 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The app-based diagnostic and support approach with a focus on mental and somatic symptoms is intended to strengthen the resilience of premature born children and families and to identify risk and resilience factors.The overall objective of the study is to improve the post-inpatient care of families with premature born children. The procedure is evaluated by a two-arm design with an experimental group and a TAU group.
CONDITIONS
Official Title
E-health-supported Diagnostic and Intervention in Preterm Born Children and Their Families
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Premature babies born at the UKT
- Gestational age 28-34 weeks
- Mother aged 18 years or older
- Agreement to participate and signing of consent form
- Sufficient knowledge of German
- Access to the internet
You will not qualify if you...
- Premature babies born before 28 weeks or after 34 weeks of pregnancy
- At least one child with serious nervous system diseases or obvious nervous disease symptoms
- At least one child with serious congenital diseases or malformations
- Mother lacks access to a smartphone or tablet
- No internet access
- Insufficient knowledge of German
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
University Hospital Tuebingen
Tübingen, Baden-Wurttemberg, Germany, 72076
Actively Recruiting
Research Team
A
Annette Conzelmann, Prof.Dr.
CONTACT
A
Annette Conzelmann, Prof. Dr.
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
PREVENTION
Number of Arms
2
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