Educational intervention by cell phone to increase informed choices at childbirth, in the context of the Covid-19 pandemic.
Not Applicable
Not yet recruiting
- Conditions
- Maternal health, Maternal health services, Public health informatics, Internet Based Intervention, Medical Informatics, Coronavirus InfectionsN01.400.900.500N02.421.143.620L01.313.750L01.224.230.110.500.688L01.313.500C01.925.782.600.550.200
- Registration Number
- RBR-3g5f9f
- Lead Sponsor
- Sociedade Beneficente Israelita Brasileira Hospital Albert Einstein
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Not yet recruiting
- Sex
- Female
- Target Recruitment
- Not specified
Inclusion Criteria
1) Be a registered user at PiniOn app; 2) Identify theirselves as women; 3) Be aged between 18 and 49 years; 3) Being pregnant or having biological children of any age or intending to have biological children in the future.
Exclusion Criteria
Women without children and with no intention of becoming a mother in the future will be excluded.
Study & Design
- Study Type
- Intervention
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method
Related Research Topics
Explore scientific publications, clinical data analysis, treatment approaches, and expert-compiled information related to the mechanisms and outcomes of this trial. Click any topic for comprehensive research insights.
What molecular mechanisms underlie digital health interventions in maternal care during pandemics?
How does mobile-based education compare to standard prenatal counseling in improving childbirth decisions?
Are there specific biomarkers that predict engagement with digital maternal health interventions?
What adverse events are associated with telehealth platforms in obstetric care during the pandemic?
What are the most effective digital tools for maternal health education in low-resource settings?