Findings From Severe Maternal Morbidity Surveillance and Review in Maryland

Author:

Wolfson Carrie1,Qian Jiage2,Chin Pamela3,Downey Cathy4,Mattingly Katie Jo5,Jones-Beatty Kimberly6,Olaku Joanne7,Qureshi Sadaf8,Rhule Jane9,Silldorff Danielle7,Atlas Robert3,Banfield Anne5,Johnson Clark T.6710,Neale Donna4,Sheffield Jeanne S.6,Silverman David7,McLaughlin Kacie11,Koru Güneş12,Creanga Andreea A.126

Affiliation:

1. Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland

2. Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland

3. Mercy Medical Center, Baltimore, Maryland

4. Howard County General Hospital, Columbia, Maryland

5. MedStar St Mary’s Hospital, Leonardtown, Maryland

6. Department of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, Maryland

7. Sinai Hospital of Baltimore, Baltimore, Maryland

8. Luminis Health Anne Arundel Medical Center, Annapolis, Maryland

9. Independent researcher

10. Department of Obstetrics and Gynecology, George Washington School of Medicine and Health Sciences, Washington, DC

11. Maternal and Child Health Bureau, Health Resources and Services Administration, Rockville, Maryland

12. Department of Health Policy and Management, University of Arkansas for Medical Sciences, Fayetteville

Abstract

ImportanceIn the US, more than 50 000 women experience severe maternal morbidity (SMM) each year, and the SMM rate more than doubled during the past 25 years. In response, professional organizations called for birthing facilities to routinely identify and review SMM events and identify prevention opportunities.ObjectiveTo examine SMM levels, primary causes, and factors associated with the preventability of SMM using Maryland’s SMM surveillance and review program.Design, Setting, and ParticipantsThis cross-sectional study included pregnant and postpartum patients at 42 days or less after delivery who were hospitalized at 1 of 6 birthing hospitals in Maryland between August 1, 2020, and November 30, 2021. Hospital-based SMM surveillance was conducted through a detailed review of medical records.ExposuresHospitalization during pregnancy or within 42 days post partum.Main Outcomes and MeasuresThe main outcomes were admission to an intensive care unit, having at least 4 U of red blood cells transfused, and/or having COVID-19 infection requiring inpatient hospital care.ResultsA total of 192 SMM events were identified and reviewed. Patients with SMM had a mean [SD] age of 31 [6.49] years; 9 [4.7%] were Asian, 27 [14.1%] were Hispanic, 83 [43.2%] were non-Hispanic Black, and 68 [35.4%] were non-Hispanic White. Obstetric hemorrhage was the leading primary cause of SMM (83 [43.2%]), followed by COVID-19 infection (57 [29.7%]) and hypertensive disorders of pregnancy (17 [8.9%]). The SMM rate was highest among Hispanic patients (154.9 per 10 000 deliveries), primarily driven by COVID-19 infection. The rate of SMM among non-Hispanic Black patients was nearly 50% higher than for non-Hispanic White patients (119.9 vs 65.7 per 10 000 deliveries). The SMM outcome assessed could have been prevented in 61 events (31.8%). Clinician-level factors and interventions in the antepartum period were most frequently cited as potentially altering the SMM outcome. Practices that were performed well most often pertained to hospitals’ readiness and adequate response to managing pregnancy complications. Recommendations for care improvement focused mainly on timely recognition and rapid response to such.Conclusions and RelevanceThe findings of this cross-sectional study, which used hospital-based SMM surveillance and review beyond the mere exploration of administrative data, offers opportunities for identifying valuable quality improvement strategies to reduce SMM. Immediate strategies to reduce SMM in Maryland should target its most common causes and address factors associated with preventability identified at individual hospitals.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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