scholarly journals Clinical Validation of a Dynamic Obstetric Hemorrhage Risk Assessment Tool at an Urban Safety-Net Hospital

2022 ◽  
Vol 226 (1) ◽  
pp. S515
Author(s):  
Diana S. Abbas ◽  
Michelle Wang ◽  
Lindsey Claus ◽  
Akanksha Srivastava ◽  
Sara Young ◽  
...  
2020 ◽  
Vol 222 (1) ◽  
pp. S423-S424
Author(s):  
Emer Colalillo ◽  
Andrew Sparks ◽  
Jaclyn M. Phillips ◽  
Homa K. Ahmadzia

2020 ◽  
Vol 10 (03) ◽  
pp. e255-e261
Author(s):  
Naima T. Joseph ◽  
Nikkia H. Worrell ◽  
Janice Collins ◽  
Melanie Schmidt ◽  
Grace Sobers ◽  
...  

Abstract Background Postpartum hemorrhage (PPH) is a leading cause of preventable maternal morbidity and mortality. Standardized response to obstetric hemorrhage is associated with significant improvement in maternal outcomes, yet implementation can be challenging. Objective The primary objective is to describe the methodology for program implementation of the Alliance for Innovation on Maternal Health Safety Bundle on PPH at an urban safety-net hospital. Methods Over an 18-month period, interventions geared toward (1) risk assessment and stratification, (2) hemorrhage identification and management, (3) team communication and simulation, and (4) debriefs and case review were implemented. Hemorrhage risk assessment stratification rates were tracked overtime as an early measure of bundle compliance. Results Hemorrhage risk assessment stratification rates improved to >90% during bundle implementation. Conclusion Keys to implementation included multidisciplinary stakeholder commitment, stepwise and iterative approach, and parallel systems for monitoring and evaluation Implementation of a PPH safety bundle is feasible in a resource-constrained setting.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Emer L. Colalillo ◽  
Andrew D. Sparks ◽  
Jaclyn M. Phillips ◽  
Chinelo L. Onyilofor ◽  
Homa K. Ahmadzia

AbstractObstetric hemorrhage is one of the leading preventable causes of maternal mortality in the United States. Although hemorrhage risk-prediction models exist, there remains a gap in literature describing if these risk-prediction tools can identify composite maternal morbidity. We investigate how well an established obstetric hemorrhage risk-assessment tool predicts composite hemorrhage-associated morbidity. We conducted a retrospective cohort analysis of a multicenter database including women admitted to Labor and Delivery from 2016 to 2018, at centers implementing the Association of Women’s Health, Obstetric, and Neonatal Nurses risk assessment tool on admission. A composite morbidity score incorporated factors including obstetric hemorrhage (estimated blood loss ≥ 1000 mL), blood transfusion, or ICU admission. Out of 56,903 women, 14,803 (26%) were categorized as low-risk, 26,163 (46%) as medium-risk and 15,937 (28%) as high-risk for obstetric hemorrhage. Composite morbidity occurred at a rate of 2.2%, 8.0% and 11.9% within these groups, respectively. Medium- and high-risk groups had an increased combined risk of composite morbidity (diagnostic OR 4.58; 4.09–5.13) compared to the low-risk group. This established hemorrhage risk-assessment tool predicts clinically-relevant composite morbidity. Future randomized trials in obstetric hemorrhage can incorporate these tools for screening patients at highest risk for composite morbidity.


Author(s):  
Homa K. Ahmadzia ◽  
Jaclyn M. Phillips ◽  
Rose Kleiman ◽  
Alexis C. Gimovsky ◽  
Susan Bathgate ◽  
...  

Objective Hemorrhage is a major cause of maternal morbidity and mortality prompting creation of innovative risk assessment tools to identify patients at highest risk. We aimed to investigate the association of hemorrhage risk assessment with maternal morbidity and to evaluate maternal outcomes after implementation of the risk assessment across hospital sites. Study Design We conducted a retrospective cohort analysis of a multicenter database including women admitted to labor and delivery from January 2015 to June 2018. The Association of Women's Health, Obstetric and Neonatal Nurses risk assessment tool was used to categorize patients as low, medium, or high risk for hemorrhage. Multivariate logistic regression was used to describe the association between hemorrhage risk score and markers of maternal morbidity and evaluate maternal outcomes before and after standardized implementations of the risk assessment tool. Results In this study, 14,861 women were categorized as low risk (26%), 26,080 (46%) moderate risk, and 15,730 (28%) high risk (N = 56,671 births). For women with high-risk scores, the relative risk (RR) ratio compared with low-risk women was 4.9 (RR: 95% confidence interval [CI]: 3.2–7.4) for blood transfusion and 5.2 (RR: 95% CI: 4.6–5.9) for estimated blood loss (EBL) ≥ 1,000 mL. For the second objective, 110,633 women were available for pre- and postimplementation analyses (39,027 and 71,606, respectively). A 20% reduction in rates of blood transfusion (0.5–0.4%, p = 0.02) and EBL ≥ 1,000 mL (6.3–5.9%, p = 0.014) was observed between pre- and postimplementations of the admission hemorrhage risk assessment tool. Conclusion Women who were deemed high risk for hemorrhage using a hemorrhage risk assessment tool had five times higher risk for blood transfusion and EBL ≥ 1,000 mL compared with low-risk women. Given the low incidence of the outcomes explored, the hemorrhage risk assessment works moderately well to identify patients at risk for peripartum morbidity. Key Points


2017 ◽  
Vol 47 ◽  
pp. 114-115 ◽  
Author(s):  
Jeffrey Seal ◽  
Bernard Lee ◽  
Mark Leary ◽  
Nicholas Riano ◽  
Christina Mangurian

2009 ◽  
Vol 201 (6) ◽  
pp. S77
Author(s):  
Kirthi Katkuri ◽  
Todd Griffin ◽  
Paul Ogburn ◽  
Rishimani Adsumelli ◽  
Adriann Combs ◽  
...  

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