A Pragmatic Randomized Controlled Trial to Predict Postpartum Hemorrhage
Part of paid clinical trials in Nashville, Tennessee.
- Sponsor
- Holly Ende
- Study ID
- NCT06513351
- Status
- Recruiting
Conditions
- Post Partum Hemorrhage
Eligibility Criteria
- Sex
- FEMALE
- Age
- N/A - N/A
- Healthy Volunteers
- Not accepted
Interventions
- Novel PPH Risk Prediction Model - Comparator Arm B — BEHAVIORALPatients in this group will receive the standard care risk assessment with the addition of a recently developed, novel PPH risk prediction model, which will automatically calculate a patient's numerical risk of hemorrhage based on 21 risk factors. Elevated risk of hemorrhage (\>=3% predicted risk), as predicted by the model, will be linked to clinical decision support, including a best practice advisory with recommendations presented to providers for consideration when they access the patient's electronic health record.
Study Details
This research project aims to enhance the safety of childbirth by using advanced computer models to predict the risk of postpartum hemorrhage (PPH). PPH is a significant concern for mothers during and after delivery. Current risk assessment tools are basic and do not adapt to changing conditions. This study will investigate whether a new and recently validated model for predicting PPH, combined with a provider-facing Best Practice Advisory (BPA) regarding currently recommended strategies triggered by an increased predicted risk, can improve perinatal outcomes. This study will compare the current category based risk assessment tool with a new, enhanced prediction model which calculates risk based on 21 factors, automatically updates as new information becomes available during labor and, if elevated, provides a provider-facing Best Practice Advisory (BPA) recommending consideration of strategies that are institutionally agreed to represent high-quality practice. Investigators hypothesize that the enhanced care approach will result in improved perinatal outcomes. The goal of the study is to improve the wellbeing of mothers during childbirth by harnessing the power of modern technology and data analysis.
Key Dates
- Start date
- Jan 1, 2025
- Status verified
- Sep 2025
- Primary completion
- Jul 31, 2026
- Completion
- Jul 31, 2027
Study Design
- Enrollment
- 10,000 participants (estimated)
- Allocation
- RANDOMIZED
- Intervention model
- PARALLEL
- Primary purpose
- HEALTH_SERVICES_RESEARCH
Arms
- No Intervention: Standard Care - Comparator Arm AStandard Care, which includes a category-based risk assessment tool as part of nursing admission workflow. The prophylactic interventions in the intervention are recommended by the tool but not specifically tied to provider-facing clinical decision support.
- Active Comparator: Novel PPH Risk Prediction Model - Comparator Arm BStandard Care with addition of a recently developed, novel PPH risk prediction model.
Primary Outcome Measure
Numerical hierarchical composite score of postpartum morbidity and mortality at hospital discharge [ Time Frame: Date of randomization to Postpartum hospital discharge (usually 2-4 days) ]
Central Contacts
- Holly Ende, MD615-322-8476
- Tracie Baker, CCRP615-875-1852
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| Vanderbilt University Medical Center | Nashville | Tennessee | 37212 | Holly Ende, MD (PRINCIPAL_INVESTIGATOR) |
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