A Pragmatic Randomized Controlled Trial to Predict Postpartum Hemorrhage
NCT ID: NCT06513351
Last Updated: 2025-10-01
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
10000 participants
INTERVENTIONAL
2025-01-01
2027-07-31
Brief Summary
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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.
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Detailed Description
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Most currently used tools are category based and assign a low, medium, or high risk of hemorrhage. These tools fail to take advantage of the vast amounts of data and computing power available via modern electronic medical records. Predictive modeling and informatics-based solutions could help to modernize PPH risk prediction and improve patient outcomes.
This study proposes to continue standard of care risk assessment for all patients, including those randomized to the intervention arm (ARM B). Those patients in the intervention arm (ARM B) will have an additional risk prediction displayed, which will show the quantitative output from the logistic regression PPH risk prediction model, (validated in a previous study). In addition to this display, patients above a preset threshold of 3% risk will have a Best Practice Advisory (BPA) deployed to clinicians with recommended actions. These recommended actions, including the prophylactic use of tranexamic acid and second-line uterotonics, are supported by best evidence in those patients deemed to be at elevated a priori risk of PPH. These prophylactic treatments are accepted standard of care for those patients deemed high risk, and may be administered, at the discretion of the covering clinician, to patients rated high risk by the current risk assessment tool in the comparator arm (Arm A) of the study. The recommendations within the best practice advisory serve as a reminder of best practices as defined by the department and providers are not forced to follow the recommendations of the best practice advisory.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Standard Care - Comparator Arm A
Standard 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.
No interventions assigned to this group
Novel PPH Risk Prediction Model - Comparator Arm B
Standard Care with addition of a recently developed, novel PPH risk prediction model.
Novel PPH Risk Prediction Model - Comparator Arm B
Patients 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.
Interventions
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Novel PPH Risk Prediction Model - Comparator Arm B
Patients 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.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
FEMALE
No
Sponsors
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Vanderbilt University Medical Center
OTHER
Holly Ende
OTHER
Responsible Party
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Holly Ende
Associate Professor of Anesthesiology
Principal Investigators
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Holly Ende, MD
Role: PRINCIPAL_INVESTIGATOR
Vanderbilt University Medical Center
Locations
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Vanderbilt University Medical Center
Nashville, Tennessee, United States
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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240187
Identifier Type: -
Identifier Source: org_study_id
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