A Pragmatic Randomized Controlled Trial to Predict Postpartum Hemorrhage
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 invest
| Condition(s) | Post Partum Hemorrhage |
|---|---|
| Status | Recruiting |
| Phase | NA |
| Study type | Interventional |
| Summary | 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 |
| Who can participate | Inclusion Criteria: * All vaginal and cesarean deliveries occurring at Vanderbilt University Medical Center Exclusion Criteria: * All patients will be randomized at the time of admission to the obstetric service. Patients who are discharged prior to delivery will be excluded from subsequent analysis. Any patients with a pre-delivery planned hysterectomy (for placenta increta or percreta) will be excluded from the treatment algorithm and primary analysis. |
| Sex | Female |
| Lead sponsor | Holly Ende |
| Locations | Nashville, Tennessee, United States |
| Start date | 2025-01-01 |
| NCT ID | NCT06513351 |
| Official listing | https://clinicaltrials.gov/study/NCT06513351 |