A Pragmatic Randomized Controlled Trial to Predict Postpartum Hemorrhage

Description

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.

Conditions

Post Partum Hemorrhage

Study Overview

Study Details

Study overview

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.

Logistic Regression Prediction Model Vs. Standard of Care for Prediction of Postpartum Hemorrhage - a Pragmatic Randomized Controlled Trial

A Pragmatic Randomized Controlled Trial to Predict Postpartum Hemorrhage

Condition
Post Partum Hemorrhage
Intervention / Treatment

-

Contacts and Locations

Nashville

Vanderbilt University Medical Center, Nashville, Tennessee, United States, 37212

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

For general information about clinical research, read Learn About Studies.

Eligibility Criteria

  • * All vaginal and cesarean deliveries occurring at Vanderbilt University Medical Center
  • * 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.

Ages Eligible for Study

to

Sexes Eligible for Study

FEMALE

Accepts Healthy Volunteers

No

Collaborators and Investigators

Holly Ende,

Holly Ende, MD, PRINCIPAL_INVESTIGATOR, Vanderbilt University Medical Center

Study Record Dates

2027-07