Related Experiment Video
Updated: Aug 5, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
PREPARE: Pregnancy Research on European Women's Preterm Birth Awareness, Risk, and Education
Gian Carlo Di Renzo1,2, Silke Mader3, Eleonora Brillo4
1PREIS International School, Firenze, Italy.
Background:
Preterm birth (PTB) is the leading cause of neonatal death and a major contributor to under-five mortality. Women's awareness, knowledge, and ability to recall PTB-related themes are essential for prevention and care but remain understudied in Europe.
Objectives:
To describe self-appraised awareness of PTB, PTB themes recalled from discussions with health care professionals (HCPs), perception of personal PTB risk, and recognition-based knowledge score.
Materials And Methods:
We conducted a cross-sectional, web-based survey of pregnant women at 12-32 weeks' gestation in five European countries. Analyses were stratified by country and by PTB risk.
Results:
The analytic sample comprised 247 women, of whom 111 (44.9%; 95% confidence interval [CI], 38.9-51.2) were classified as at higher PTB risk. Among these, 35.1% (95% CI, 26.9-44.4) did not recognize their higher PTB risk in the current pregnancy despite a previous PTB. Differences in awareness were observed between countries, with no differences across PTB risk strata. Recall of PTB themes discussed with HCPs and the recognition-based knowledge score were low and did not differ across PTB risk strata. Topic-specific shortfalls in recall and recognition were identified.
Conclusions:
A disconnect emerged between feeling informed and retaining actionable knowledge. HCPs should reserve time with women to deliver education using evidence-based techniques (e.g., teach-back) to build, maintain, and reinforce recall of PTB knowledge so that women are not only aware but also active participants in prevention, monitoring, and care.
Related Concept Videos
Development of the Oral Microbiota
Preventive Healthcare Services
Regression Toward the Mean
Development of Human Microbiota
