Anisha Abreo

Reduction of severe maternal morbidity from hemorrhage using a state perinatal quality collaborative

Background: Obstetric hemorrhage is the leading cause of severe maternal morbidity and of preventable maternal mortality in the United States. The California Maternal Quality Care Collaborative developed a comprehensive quality improvement tool kit for hemorrhage based on the national patient safety bundle for obstetric hemorrhage and noted promising results in pilot implementation projects. Objective: We sought to determine whether these safety tools can be scaled up to reduce severe maternal morbidity in women with obstetric hemorrhage using a large maternal quality collaborative. Study Design: We report on 99 collaborative hospitals (256,541 annual births) using a before‐and‐after model with 48 noncollaborative comparison hospitals (81,089 annual births) used to detect any systemic trends. Both groups participated in the California Maternal Data Center providing baseline and rapid‐cycle data. Baseline period was the 48 months from January 2011 through December 2014. The collaborative started in January 2015 and the postintervention period was the 6 months from October 2015 through March 2016. We modified the Institute for Healthcare Improvement collaborative model for achieving breakthrough improvement to include the mentor model whereby 20 pairs of nurse and physician mentors experienced in quality improvement gave additional support to small groups of 6–8 hospitals. The national hemorrhage safety bundle served as the template for quality improvement action. The main outcome measurement was the composite Centers for Disease Control and Prevention severe maternal morbidity measure, for both the target population of women with hemorrhage and the overall delivery population. The rate of adoption of bundle elements was used as an indicator of hospital engagement and intensity. Results: Compared to baseline period, women with hemorrhage in collaborative hospitals experienced a 20.8% reduction in severe maternal morbidity while women in comparison hospitals had a 1.2% reduction (P < .0001). Women in hospitals with prior hemorrhage collaborative experience experienced an even larger 28.6% reduction. Fewer mothers with transfusions accounted for two thirds of the reduction in collaborative hospitals and fewer procedures and medical complications, the remainder. The rate of severe maternal morbidity among all women in collaborative hospitals was 11.7% lower and women in hospitals with prior hemorrhage collaborative experience had a 17.5% reduction. Improved outcomes for women were noted in all hospital types (regional, medium, small, health maintenance organization, and nonhealth maintenance organization). Overall, 54% of hospitals completed 14 of 17 bundle elements, 76% reported regular unit‐based drills, and 65% reported regular posthemorrhage debriefs. Higher rate of bundle adoption was associated with improvement of maternal morbidity only in hospitals with high initial rates of severe maternal morbidity. Conclusion: We used an innovative collaborative quality improvement approach (mentor model) to scale up implementation of the national hemorrhage bundle. Participation in the collaborative was strongly associated with reductions in severe maternal morbidity among hemorrhage patients. Women in hospitals in their second collaborative had an even greater reduction in morbidity than those approaching the bundle for the first time, reinforcing the concept that quality improvement is a long‐term and cumulative process.

Confirmed severe maternal morbidity is associated with high rate of preterm delivery

BACKGROUND Because severe maternal morbidity (SMM) is increasing in the United States, affecting up to 50,000 women per year, there was a recent call to review all mothers with SMM to better understand their morbidity and improve outcomes. Administrative screening methods for SMM have recently been shown to have low positive predictive value for true SMM after chart review. To ultimately reduce maternal morbidity and mortality we must better understand risk factors, and preventability issues about true SMM such that interventions could be designed to improve care. OBJECTIVE Our objective was to determine risk factors associated with true SMM identified from California delivery admissions, including the relationship between SMM and preterm delivery. STUDY DESIGN In this retrospective cohort study, SMM cases were screened for using International Classification of Diseases, Ninth Revision codes for severe illness and procedures, prolonged postpartum length of stay, intensive care unit admission, and transfusion from all deliveries in 16 hospitals from July 2012 through June 2013. Charts of screen-positive cases were reviewed and true SMM diagnosed based on expert panel agreement. Underlying disease diagnosis was determined. Women with true-positive SMM were compared to SMM-negative women for the following variables: maternal age, ethnicity, gestational age at delivery, prior cesarean delivery, and multiple gestation. RESULTS In all, 491 women had true SMM and 66,977 women did not have SMM for a 0.7% rate of true SMM. Compared to SMM-negative women, SMM cases were significantly more likely to be age >35 years (33.6 vs 23.8%; P < .0001), be African American (14.1 vs 7.9%; P < .0001), have had a multiple gestation (9.7 vs 2.1%; P < .0001), and, for the multiparous women, have had a prior cesarean delivery (58 vs 30.2%; P < .0001). Preterm delivery was significantly more common in SMM women compared to SMM-negative women (41 vs 8%; P < .0001), including delivery <32 weeks (18 vs 2%; P < .0001). The most common underlying disease was obstetric hemorrhage (42%) followed by hypertensive disorders (20%) and placental hemorrhage (14%). Only 1.6% of women with SMM had cardiovascular disease as the underlying disease category. CONCLUSION An extremely high proportion of women with severe morbidity (42.5%) delivered preterm with 17.8% delivering <32 weeks, which underscores the importance of access to appropriate-level care for mothers with SMM and their newborns. Further, the extremely high rate of preterm delivery (75%) in women with placental hemorrhage in combination with their 63% prior cesarean delivery rate highlights another risk of prior cesarean delivery: subsequent preterm delivery. These data provide a reminder that a cesarean delivery could be a contributing factor to not only hemorrhage-related SMM, but also to increased subsequent preterm delivery, more reason to continue national efforts to safely reduce initial cesarean deliveries.

Improving Maternal Safety at Scale with the Mentor Model of Collaborative Improvement

BACKGROUND Obstetric safety bundles, consisting of action steps shown to improve outcomes, have been developed to address the most common and preventable causes of maternal morbidity and mortality. Implementing these best practices across all birthing facilities remains an important and challenging clinical and public health priority. METHODS The California Maternal Quality Care Collaborative (CMQCC) developed an innovative external mentor model for large-scale collaborative improvement in which participating organizations were subdivided into small teams of six to eight hospitals, led by a paired dyad of physician and nurse leaders. The mentor model preserves the active sharing that enhances improvement across a large group of facilities working on the same project while enabling individualized attention to teams. The mentor model was tested by implementing the obstetric hemorrhage safety bundle (which consists of 17 key practices in four domains) in multiple California hospitals. RESULTS A total of 126 hospitals were engaged to simultaneously implement the safety bundle. The adoption rates for the recommended practices in the four action domains were (1) Readiness, 78.9%; (2) Recognition and Prevention, 76.5%; (3) Response, 63.1%; and (4) Reporting and Systems Learning, 58.7%. Mentors (31/40) and participating teams (48 responses from 39/126 hospitals) provided feedback in an exit survey. Among the respondents, 64.5% of mentors and 72.9% of participants agreed that compared to a traditional collaborative structure, the mentor model was better suited for quality improvement at scale. CONCLUSION The mentor model was successful in providing individualized support to teams and enabled implementation of the hemorrhage safety bundle across a diverse group of 126 hospitals.