The relative impact of labor induction versus improved labor management: Before and after the ARRIVE (a randomized trial of induction vs. expectant management) trial.

OBJECTIVE: To evaluate the association of labor induction on cesarean delivery and other maternal and neonatal outcomes in low-risk, full-term patients in community hospitals during a period of concerted effort to safely prevent cesarean delivery. METHODS: We performed a retrospective cohort study using the California Maternal Data Center comprised linked discharge diagnoses and birth certificate data for all low-risk, nulliparous, term, singleton, vertex (NTSV) individuals between 39 and 41 weeks from three Sacramento Valley community hospitals from 2016 to 2022 (N = 10,821) during a period of state-wide efforts to safely reduce cesarean rates. Logistic regression was used to calculate odds ratios (ORs) and adjusted odds ratios (aORs) after labor induction in two time periods before and after the ARRIVE trial. RESULTS: During the study period, labor induction increased from 14.7% to 23.1%. Controlling for maternal age, pre-pregnancy BMI, birthweight, maternal race and ethnicity, birthplace, English language, gestational age, Medicaid status, delivery year, and labor induction was associated with an increased aOR of 1.67 (95% CI 1.48-1.89) for cesarean delivery. We found a trend toward increased aOR of chorioamnionitis but no differences in blood transfusion, severe maternal morbidity, unexpected newborn complications, chorioamnionitis, operative vaginal delivery, maternal lacerations, and shoulder dystocia with labor induction. A decrease aOR of cesarean delivery was observed comparing all births in 2019-2021 to 2016-2018. CONCLUSION: Labor induction was associated with an increased aOR for cesarean delivery both before and after the ARRIVE trial. A decreased aOR for cesarean delivery was observed during the period of statewide efforts to safely reduce cesarean delivery both with and without labor induction.

Moving from Principle to Practice: A Researcher's Guide to Co-Leading Engaged Research with Community Partners and Patients with Lived Experience to Reduce Maternal Mortality and Morbidity for Maternal Sepsis.

OBJECTIVES: Maternal mortality and morbidity disproportionately affect birthing people from racialized populations. Unfortunately, researchers can often compound these poor outcomes through a lack of authentic community engagement in research beyond the role of the research subject, leading to ineffective strategies for improving care and increasing equity. This article details the real-life strategies utilized to develop a community-engaged research project of a phased federally funded grant employing community engagement principles of co-leadership and co-creation. It also includes reflections from the researchers and advisory board on promising practices and lessons learned for equitably engaging patients and community partners in research. METHODS: This article details the application of principles of community-engaged research in a federally funded phased research project focused on understanding disparities in maternal sepsis to develop better clinical and community interventions. Specifically, it discusses early steps in the research partnership to create a sustainable partnership with a Community Leadership Board guided by the principles of transparency, respect, compensation, and increasing research justice. RESULTS: Based on the authors' experience, recommendations are provided for funders, researchers, and institutions to improve the quality and outcomes of communityengaged research. This work adds to community-based participatory and community-engaged research literature by providing concrete and practical steps for equitably engaging in research partnerships with a variety of collaborators. CONCLUSIONS: In conclusion, integrated patient and community co-leadership enhances research by providing insight, access to communities for education and dissemination of information, and identifying critical areas needing change. This report may help others address fundamental principles in this journey.

Trends and Disparities in Severe Maternal Morbidity Indicator Categories during Childbirth Hospitalization in California from 1997 to 2017.

OBJECTIVE: Severe maternal morbidity (SMM) is increasing and characterized by substantial racial and ethnic disparities. Analyzing trends and disparities across time by etiologic or organ system groups instead of an aggregated index may inform specific, actionable pathways to equitable care. We explored trends and racial and ethnic disparities in seven SMM categories at childbirth hospitalization. STUDY DESIGN: We analyzed California birth cohort data on all live and stillbirths ≥ 20 weeks' gestation from 1997 to 2017 (n = 10,580,096) using the Centers for Disease Control and Prevention's SMM index. Cases were categorized into seven nonmutually exclusive indicator categories (cardiac, renal, respiratory, hemorrhage, sepsis, other obstetric, and other medical SMM). We compared prevalence and trends in SMM indicator categories overall and by racial and ethnic group using logistic and linear regression. RESULTS: SMM occurred in 1.16% of births and nontransfusion SMM in 0.54%. Hemorrhage SMM occurred most frequently (27 per 10,000 births), followed by other obstetric (11), respiratory (7), and sepsis, cardiac, and renal SMM (5). Hemorrhage, renal, respiratory, and sepsis SMM increased over time for all racial and ethnic groups. The largest disparities were for Black individuals, including over 3-fold increased odds of other medical SMM. Renal and sepsis morbidity had the largest relative increases over time (717 and 544%). Sepsis and hemorrhage SMM had the largest absolute changes over time (17 per 10,000 increase). Disparities increased over time for respiratory SMM among Black, U.S.-born Hispanic, and non-U.S.-born Hispanic individuals and for sepsis SMM among Asian or Pacific Islander individuals. Disparities decreased over time for sepsis SMM among Black individuals yet remained substantial. CONCLUSION: Our research further supports the critical need to address SMM and disparities as a significant public health priority in the United States and suggests that examining SMM subgroups may reveal helpful nuance for understanding trends, disparities, and potential needs for intervention. KEY POINTS: · By SMM subgroup, trends and racial and ethnic disparities varied yet Black individuals consistently had highest rates.. · Hemorrhage, renal, respiratory, and sepsis SMM significantly increased over time.. · Disparities increased for respiratory SMM among Black, U.S.-born Hispanic and non-U.S.-born Hispanic individuals and for sepsis SMM among Asian or Pacific Islander individuals..

Validation of ICD-10-CM Diagnosis Codes for Gestational Age at Birth.

BACKGROUND: The International Classification of Diseases , 10th Revision, Clinical Modification (ICD-10-CM) introduced diagnosis codes for week of gestation. Our objective was to assess the validity of these codes among live births, which could have major utility in perinatal research and quality improvement. METHODS: We used linked birth certificate and patient discharge data from births in California during 2016-2019 (N = 1,843,992). We identified gestational age using Z3A.xx ICD-10-CM diagnosis codes in birthing patient discharge data and compared it with the gold standard of obstetric estimate, as recorded on the birth certificate. We further assessed sensitivity and specificity of gestational age categories (≥37 weeks, <37 weeks, <32 weeks, <28 weeks), given these categories are frequently of interest, and evaluated differences in validity of preterm birth (<37 weeks' gestation) by patient characteristics. RESULTS: One-million seven-hundred seventy-thousand one-hundred three patients had a gestational age recorded in patient discharge and birth certificate data. When comparing gestational age in patient discharge data with birth certificate data, the concordance correlation coefficient was 0.96 (95% confidence interval [CI] = 0.96, 0.96) and the mean difference between the two measurements was 0.047 weeks (95% CI = 0.046, 0.047 weeks). Ninety-five percent of the differences between the two measurements were between -1.00 week and +1.09 weeks. Sensitivity and specificity were 0.94 to 1.00 for all gestational age categories and were 0.94 to 1.00 for preterm birth across sociodemographic groups. CONCLUSIONS: We found week-specific gestational age at delivery ICD-10-CM diagnosis codes in patient discharge data to have high validity when compared with the best obstetric estimate on the birth certificate.

Measuring Variation in Interpregnancy Interval: Identifying Hotspots for Improvement Initiatives.

OBJECTIVE: The study aimed to determine if single year birth certificate data can be used to identify regional and hospital variation in rates of short interpregnancy interval (IPI < 6 months). STUDY DESIGN: IPI was estimated for multiparous women ages 15 to 44 years with singleton live births between 2015 and 2016. Perinatal outcomes, place of birth, maternal race, and data for IPI calculations were obtained by using birth certificates. IPI frequencies are presented as observed rates. RESULTS: The cohort included 562,039 multiparous women. Short IPI rates were similar to those obtained with analyses by using linked longitudinal data and confirmed the association with preterm birth. Short IPI rates varied by race and Hispanic nativity. There was substantial hospital (0.8-9%) and regional (2.9-6.2%) variation in short IPI rates. CONCLUSION: IPI rates can be reliably obtained from current year birth certificate data. This can be a useful tool for quality improvement projects targeting interventions and rapidly assessing their progress to promote optimal birth spacing. KEY POINTS: · Near-real time regional and hospital IPI rates can be reliably obtained from current year birth certificate data.. · Substantial variations in rates of short IPI exist between hospital and perinatal regions.. · IPI rates from individual birth certificates can be a tool to target and assess interventions..

Sexual and/or gender minority disparities in obstetrical and birth outcomes.

BACKGROUND: Many sexual and/or gender minority individuals build families through pregnancy and childbirth, but it is unknown whether they experience different clinical outcomes than those who are not sexual and/or gender minority individuals. OBJECTIVE: To evaluate obstetrical and birth outcomes comparing couples who are likely sexual and/or gender minority patients compared with those who are not likely to be sexual and/or gender minority patients. STUDY DESIGN: We performed a population-based cohort study of live birth hospitalizations during 2016 to 2019 linked to birth certificates in California. California changed its birth certificate in 2016 to include gender-neutral fields such as "parent giving birth" and "parent not giving birth," with options for each role to specify "mother," "father," or "parent." We classified birthing patients in mother-mother partnerships and those who identified as a father in any partnership as likely sexual and/or gender minority and classified birthing patients in mother-father partnerships as likely not sexual and/or gender minority. We used multivariable modified Poisson regression models to estimate the risk ratios for associations between likely sexual and/or gender minority parental structures and outcomes. The models were adjusted for sociodemographic factors, comorbidities, and multifetal gestation selected by causal diagrams. We replicated the analyses after excluding multifetal gestations. RESULTS: In the final birthing patient sample, 1,483,119 were mothers with father partners, 2572 were mothers with mother partners, and 498 were fathers with any partner. Compared with birthing patients in mother-father partnerships, birthing patients in mother-mother partnerships experienced significantly higher rates of multifetal gestation (adjusted risk ratio, 3.9; 95% confidence interval, 3.4-4.4), labor induction (adjusted risk ratio, 1.2; 95% confidence interval, 1.1-1.3), postpartum hemorrhage (adjusted risk ratio, 1.4; 95% confidence interval, 1.3-1.6), severe morbidity (adjusted risk ratio, 1.4; 95% confidence interval, 1.2-1.8), and nontransfusion severe morbidity (adjusted risk ratio, 1.4; 95% confidence interval, 1.1-1.9). Severe morbidity was identified following the Centers for Disease Control and Prevention "severe maternal morbidity" index. Gestational diabetes mellitus, hypertensive disorders of pregnancy, cesarean delivery, preterm birth (<37 weeks' gestation), low birthweight (<2500 g), and low Apgar score (<7 at 5 minutes) did not significantly differ in the multivariable analyses. No outcomes significantly differed between father birthing patients in any partnership and birthing patients in mother-father partnerships in either crude or multivariable analyses, though the risk of multifetal gestation was nonsignificantly higher (adjusted risk ratio, 1.5; 95% confidence interval, 0.9-2.7). The adjusted risk ratios for the outcomes were similar after restriction to singleton gestations. CONCLUSION: Birthing mothers with mother partners experienced disparities in several obstetrical and birth outcomes independent of sociodemographic factors, comorbidities, and multifetal gestation. Birthing fathers in any partnership were not at a significantly elevated risk of any adverse obstetrical or birth outcome considered in this study.

Society for Maternal-Fetal Medicine Special Statement: A quality metric for evaluating timely treatment of severe hypertension.

Severe hypertension in pregnancy is a medical emergency. Although expeditious treatment within 30 to 60 minutes is recommended to reduce the risk of maternal death or severe morbidity, treatment is often delayed by >1 hour. In this statement, we propose a quality metric that facilities can use to track their rates of timely treatment of severe hypertension. We encourage facilities to adopt this metric so that future reports from different facilities will be based on a uniform definition of timely treatment.

How State Perinatal Quality Collaboratives Can Improve Rural Maternity Care.

Perinatal Quality Collaboratives (PQCs) are now present in nearly all states and provide important tools and strategies for improving maternal outcomes. State PQCs can focus their strengths to address rural maternal health challenges using support groups of rural hospitals, of tertiary facilities that network with them, and of other PQCs to share best practices for rural hospitals to: (1) Support networks of care and telehealth; (2) Support remote education and training; (3) Implement rural appropriate versions of National Safety Bundles; (4) Engage and support providers beyond obstetricians; and (5) Engage community members and resources.

Severe Maternal Morbidity: A Comparison of Definitions and Data Sources.

Severe maternal morbidity (SMM) is a composite outcome measure that indicates serious, potentially life-threatening maternal health problems. There is great interest in defining SMM using administrative data for surveillance and research. In the United States, one common way of defining SMM at the population level is an index developed by the Centers for Disease Control and Prevention. Modifications to this index (e.g., exclusion of maternal blood transfusion) have been proposed; some research defines SMM using an index introduced by Bateman et al. (Obstet Gynecol. 2013;122(5):957-965). Birth certificate data are also increasingly being used to define SMM. We compared commonly used US definitions of SMM among all California births (2007-2012) using the kappa (κ) statistic and other measures. We also evaluated agreement between maternal morbidity fields on the birth certificate as compared with health insurance claims data. Concordance between the 7 definitions of SMM analyzed was generally low (i.e., κ < 0.41 for 13 of 21 two-way comparisons). Low concordance was particularly driven by the presence/absence of transfusion and claims data versus birth certificate definitions. Low agreement between administrative data-based definitions of SMM highlights that results can be expected to differ between them. Further research on validity of SMM definitions, using more fine-grained data sources, is needed.

Birth hospital and racial and ethnic differences in severe maternal morbidity in the state of California.

BACKGROUND: Birth hospital has recently emerged as a potential key contributor to disparities in severe maternal morbidity, but investigations on its contribution to racial and ethnic differences remain limited. OBJECTIVE: We leveraged statewide data from California to examine whether birth hospital explained racial and ethnic differences in severe maternal morbidity. STUDY DESIGN: This cohort study used data on all births at ≥20 weeks gestation in California (2007-2012). Severe maternal morbidity during birth hospitalization was measured using the Centers for Disease Control and Prevention index of having at least 1 of the 21 diagnoses and procedures (eg, eclampsia, blood transfusion, hysterectomy). Mixed-effects logistic regression models (ie, women nested within hospitals) were used to compare racial and ethnic differences in severe maternal morbidity before and after adjustment for maternal sociodemographic and pregnancy-related factors, comorbidities, and hospital characteristics. We also estimated the risk-standardized severe maternal morbidity rates for each hospital (N=245) and the percentage reduction in severe maternal morbidity if each group of racially and ethnically minoritized women gave birth at the same distribution of hospitals as non-Hispanic white women. RESULTS: Of the 3,020,525 women who gave birth, 39,192 (1.3%) had severe maternal morbidity (2.1% Black; 1.3% US-born Hispanic; 1.3% foreign-born Hispanic; 1.3% Asian and Pacific Islander; 1.1% white; 1.6% American Indian and Alaska Native, and Mixed-race referred to as Other). Risk-standardized rates of severe maternal morbidity ranged from 0.3 to 4.0 per 100 births across hospitals. After adjusting for covariates, the odds of severe maternal morbidity were greater among nonwhite women than white women in a given hospital (Black: odds ratio, 1.25; 95% confidence interval, 1.19-1.31); US-born Hispanic: odds ratio, 1.25; 95% confidence interval, 1.20-1.29; foreign-born Hispanic: odds ratio, 1.17; 95% confidence interval, 1.11-1.24; Asian and Pacific Islander: odds ratio, 1.26; 95% confidence interval, 1.21-1.32; Other: odds ratio, 1.31; 95% confidence interval, 1.15-1.50). Among the studied hospital factors, only teaching status was associated with severe maternal morbidity in fully adjusted models. Although 33% of white women delivered in hospitals with the highest tertile of severe maternal morbidity rates compared with 53% of Black women, birth hospital only accounted for 7.8% of the differences in severe maternal morbidity comparing Black and white women and accounted for 16.1% to 24.2% of the differences for all other racial and ethnic groups. CONCLUSION: In California, excess odds of severe maternal morbidity among racially and ethnically minoritized women were not fully explained by birth hospital. Structural causes of racial and ethnic disparities in severe maternal morbidity may vary by region, which warrants further examination to inform effective policies.

Culture That Facilitates Change: A Mixed Methods Study of Hospitals Engaged in Reducing Cesarean Deliveries.

PURPOSE: Large-scale efforts to reduce cesarean deliveries have shown varied levels of impact; yet understanding factors that contribute to hospitals' success are lacking. We aimed to characterize unit culture differences at hospitals that successfully reduced their cesarean rates compared with those that did not. METHODS: A mixed methods study of California hospitals participating in a statewide initiative to reduce cesarean delivery. Participants included nurses, obstetricians, family physicians, midwives, and anesthesiologists practicing at participating hospitals. Hospitals' net change in nulliparous, term, singleton, and vertex cesarean delivery rates classified them as successful if they achieved either a minimum 5 percentage point reduction or rate of fewer than 24%. The Labor Culture Survey was used to quantify differences in unit culture. Key informant interviews were used to explore quantitative findings and characterize additional cultural barriers and facilitators. RESULTS: Out of 55 hospitals, 37 (n = 840 clinicians) meeting inclusion criteria participated in the Labor Culture Survey. Physicians' individual attitudes differed by hospital success on 5 scales: best practices (P = .003), fear (P = .001), cesarean safety (P = .014), physician oversight (P <.001), and microculture (P = .044) scales. Patient ability to make informed decisions showed poor agreement across all hospitals, but was higher at successful hospitals (38% vs 29%, P = .01). Important qualitative themes included: ease of access to shared resources on best practices, fear of bad outcomes, personal resistance to change, collaborative practice and effective communication, leadership engagement, and cultural flexibility. CONCLUSIONS: Successful hospitals' culture and context was measurably different from nonresponders. Leveraging these contextual factors may facilitate success.

Association of Maternal Comorbidity With Severe Maternal Morbidity: A Cohort Study of California Mothers Delivering Between 1997 and 2014.

BACKGROUND: Rates of maternal mortality and severe maternal morbidity (SMM) are higher in the United States than in other high-resource countries and are increasing further. OBJECTIVE: To examine the association of maternal comorbid conditions, age, body mass index, and previous cesarean birth with occurrence of SMM. DESIGN: Population-based cohort study using linked delivery hospitalization discharge data and vital records. SETTING: California, 1997 to 2014. PATIENTS: All 9 179 472 mothers delivering in California during 1997 to 2014. MEASUREMENTS: SMM rate, total and without transfusion-only cases; 2019 maternal comorbidity index. RESULTS: Total SMM increased by 160% during this time, and SMM excluding transfusion-only cases increased by 53%. Medical comorbid conditions were associated with an increasing portion of SMM occurrences. Medical comorbid conditions increased over the study period by 111%, and obstetric comorbid conditions increased by 30% to 40%. Identified medical comorbid conditions had high relative risks ranging from 1.3 to 14.3 for total SMM and even higher relative risks for nontransfusion SMM (to 32.4). The obstetric comorbidity index that is most often used may be undervaluing the degree of association with SMM. LIMITATIONS: Hospital discharge diagnosis files and birth certificate records can have misclassifications and may not include all relevant clinical data or social determinants. The period for analysis ended in 2014 to avoid the transition to the International Classification of Diseases, 10th Revision, Clinical Modification, and therefore missed more recent years. CONCLUSION: Obstetric and, particularly, medical comorbid conditions are increasing among women who develop SMM. The maternal comorbidity index is a promising tool for patient risk assessment and case-mix adjustment, but refinement of factor weights may be indicated. PRIMARY FUNDING SOURCE: National Institutes of Health.

Pre-pregnancy Obesity and the Risk of Peripartum Cardiomyopathy.

OBJECTIVE: The aim of this study is to evaluate the contribution of pre-pregnancy obesity and overweight to peripartum cardiomyopathy. STUDY DESIGN: This population-based study used linked birth record and maternal hospital discharge data from live births in California during 2007 to 2012 (n = 2,548,380). All women who had a diagnosis of peripartum cardiomyopathy during the childbirth hospitalization or who were diagnosed with peripartum cardiomyopathy during a postpartum hospital readmission within 5 months of birth were identified as cases. Pre-pregnancy body mass index (BMI, kg/m2) was classified as normal weight (18.5-24.9), overweight (25.0-29.9), obesity class 1 (30.0-34.9), obesity class 2 (35.0-39.9), and obesity class 3 (≥40). Because of small numbers, we excluded women with underweight BMI, and in some analyses, we combined obesity classes into one group. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) expressing associations between BMI and peripartum cardiomyopathy, adjusted for maternal age, race/ethnicity, education, health care payer, parity, plurality, and comorbidities. RESULTS: The overall prevalence of peripartum cardiomyopathy during hospital admissions was 1.3 per 10,000 live births (n = 320). Unadjusted ORs were 1.32 (95% CI: 1.01-1.74) for women with overweight BMI and 2.03 (95% CI: 1.57-2.62) for women with obesity, compared with women with normal pre-pregnancy BMI. Adjusted ORs were 1.26 (95% CI: 0.95-1.66) for overweight women and 1.38 (95% CI: 1.04-1.84) for women with obesity. The ORs suggested a dose-response relationship with increasing levels of obesity, but the 95% CIs for the specific classes of obesity included 1.00. CONCLUSION: Pre-pregnancy obesity was associated with an increased risk of peripartum cardiomyopathy. These findings underscore the importance of BMI during pregnancy. There is a need to recognize the increased risk of peripartum cardiomyopathy in women with high BMI, especially in the late postpartum period. KEY POINTS: · Pre-pregnancy obesity affects maternal health.. · Effects may extend to peripartum cardiomyopathy.. · The risk includes peripartum cardiomyopathy that emerges postpartum..

Hospital Quality Improvement Interventions, Statewide Policy Initiatives, and Rates of Cesarean Delivery for Nulliparous, Term, Singleton, Vertex Births in California.

Importance: Safe reduction of the cesarean delivery rate is a national priority. Objective: To evaluate the rates of cesarean delivery for nulliparous, term, singleton, vertex (NTSV) births in California in the context of a statewide multifaceted intervention designed to reduce the rates of cesarean delivery. Design, Setting, and Participants: Observational study of cesarean delivery rates from 2014 to 2019 among 7 574 889 NTSV births in the US and at 238 nonmilitary hospitals providing maternity services in California. From 2016 to 2019, California Maternal Quality Care Collaborative partnered with Smart Care California to implement multiple approaches to decrease the rates of cesarean delivery. Hospitals with rates of cesarean delivery greater than 23.9% for NTSV births were invited to join 1 of 3 cohorts for an 18-month quality improvement collaborative between July 2016 and June 2019. Exposures: Within the collaborative, multidisciplinary teams implemented multiple strategies supported by mentorship, shared learning, and rapid-cycle data feedback. Partnerships among nonprofit organizations, state governmental agencies, purchasers, and health plans addressed the external environment through transparency, award programs, and incentives. Main Outcomes and Measures: The primary outcome was the change in cesarean delivery rates for NTSV births in California and a difference-in-differences analysis was performed to compare cesarean delivery rates for NTSV births in California vs the rates in the rest of the US. A mixed multivariable logistic regression model that adjusted for patient-level and hospital-level confounders also was used to assess the collaborative and the external statewide actions. The cesarean delivery rates for NTSV births at hospitals participating in the collaborative were compared with the rates from the nonparticipating hospitals and the rates in the participating hospitals prior to participation in the collaborative. Results: A total of 7 574 889 NTSV births occurred in the US from 2014 to 2019, of which 914 283 were at 238 hospitals in California. All California hospitals were exposed to the statewide actions to reduce the rates of cesarean delivery, including the 149 hospitals that had baseline rates of cesarean delivery greater than 23.9% for NTSV births, of which 91 (61%) participated in the quality improvement collaborative. The rate of cesarean delivery for NTSV births in California decreased from 26.0% (95% CI, 25.8%-26.2%) in 2014 to 22.8% (95% CI, 22.6%-23.1%) in 2019 (relative risk, 0.88; 95% CI, 0.87-0.89). The rate of cesarean delivery for NTSV births in the US (excluding California births) was 26.0% in both 2014 and 2019 (relative risk, 1.00; 95% CI, 0.996-1.005). The difference-in-differences analysis revealed that the reduction in the rate of cesarean delivery for NTSV births in California was 3.2% (95% CI, 1.7%-3.5%) higher than in the US (excluding California). Compared with the hospitals and the periods not exposed to the collaborative activities, and after adjusting for patient characteristics and time using a modified stepped-wedge analysis, exposure to collaborative activities was associated with a lower odds of cesarean delivery for NTSV births (24.4% vs 24.6%; adjusted odds ratio, 0.87 [95% CI, 0.85-0.89]). Conclusions and Relevance: In this observational study of NTSV births in California from 2014 to 2019, the rates of cesarean delivery decreased over time in the setting of the implementation of a coordinated hospital-level collaborative and statewide initiatives designed to support vaginal birth.

Reduction in racial disparities in severe maternal morbidity from hemorrhage in a large-scale quality improvement collaborative.

BACKGROUND: Eliminating persistent racial/ethnic disparities in maternal mortality and morbidity is a public health priority. National strategies to improve maternal outcomes are increasingly focused on quality improvement collaboratives. However, the effectiveness of quality collaboratives for reducing racial disparities in maternity care is understudied. OBJECTIVE: To evaluate the impact of a hemorrhage quality-improvement collaborative on racial disparities in severe maternal morbidity from hemorrhage. STUDY DESIGN: We conducted a cross-sectional study from 2011 to 2016 among 99 hospitals that participated in a hemorrhage quality improvement collaborative in California. The focus of the quality collaborative was to implement the national maternal hemorrhage safety bundle consisting of 17 evidence-based recommendations for practice and care processes known to improve outcomes. This analysis included 54,311 women from the baseline period (January 2011 through December 2014) and 19,165 women from the postintervention period (October 2015 through December 2016) with a diagnosis of obstetric hemorrhage during delivery hospitalization. We examined whether racial/ethnic-specific severe maternal morbidity rates in these women with obstetric hemorrhage were reduced from the baseline to the postintervention period. In addition, we conducted Poisson Generalized Estimating Equation models to estimate relative risks and 95% confidence intervals for severe maternal morbidity comparing each racial/ethnic group with white. RESULTS: During the baseline period, the rate of severe maternal morbidity among women with hemorrhage was 22.1% (12,002/54,311) with the greatest rate observed among black women (28.6%, 973/3404), and the lowest among white women (19.8%, 3124/15,775). The overall rate fell to 18.5% (3553/19,165) in the postintervention period. Both black and white mothers benefited from the intervention, but the benefit among black women exceeded that of white women (9.0% vs 2.1% absolute rate reduction). The baseline risk of severe maternal morbidity was 1.34 times greater among black mothers compared with white mothers (relative risk, 1.34; 95% confidence interval, 1.27-1.42), and it was reduced to 1.22 (1.05-1.40) in the postintervention period. Sociodemographic and clinical factors explained a part of the black-white differences. After controlling for these factors, the black-white relative risk was 1.22 (95% confidence interval, 1.15-1.30) at baseline and narrowed to 1.07 (1.92-1.24) in the postintervention period. Results were similar when excluding severe maternal morbidity cases with transfusion alone. After accounting for maternal risk factors, the black-white relative risk for severe maternal morbidity excluding transfusion alone was reduced from a baseline of 1.33 (95% confidence interval, 1.16-1.52) to 0.99 (0.76-1.29) in the postintervention period. The most important clinical risk factor for disparate black rates for both severe maternal morbidity and severe maternal morbidity excluding transfusion alone was cesarean delivery, potentially providing another opportunity for quality improvement. CONCLUSION: A large-scale quality improvement collaborative reduced rates of severe maternal morbidity due to hemorrhage in all races and reduced the performance gap between black and white women. Improving access to highly effective treatments has the potential to decrease disparities for care-sensitive acute hospital-focused morbidities.

Risk of severe maternal morbidity in relation to prepregnancy body mass index: Roles of maternal co-morbidities and caesarean birth.

BACKGROUND: An association between prepregnancy body mass index (BMI) and severe maternal morbidity (SMM) has been reported, but evidence has been mixed and potential explanations have not been examined. OBJECTIVE: To evaluate the association between prepregnancy BMI and SMM in a large, diverse birth cohort and assess potential mediation by obesity-related co-morbidities and caesarean birth. METHODS: This cohort study used linked birth certificate and hospitalisation discharge records from Californian births during 2007-2012. We assessed associations between prepregnancy BMI and SMM, and used inverse probability weighting for multiple mediators to estimate relative and absolute natural direct and indirect effects accounting for mediation by co-morbidities (hypertensive conditions, diabetes, asthma) and caesarean birth. RESULTS: Among 2 650 182 births, the prevalence of SMM was 1.42%. Adjusted risk ratios for the total association between prepregnancy BMI category and SMM were 1.12 (95% confidence interval [CI] 1.07, 1.18) for underweight, 1.02 (95% CI 0.99, 1.04) for overweight, 1.04 (95% CI 1.00, 1.07) for obesity class 1, 1.14 (95% CI 1.09, 1.20) for obesity class 2, and 1.28 (95% CI 1.22, 1.36) for obesity class 3 compared to women with normal weight. After accounting for mediation by co-morbidity and caesarean birth, the risk ratios were 1.19 (95% CI 1.14, 1.26) for underweight, 0.91 (95% CI 0.89, 0.94) for overweight, 0.86 (95% CI 0.84, 0.89) for obesity class 1, 0.88 (95% CI 0.84, 0.92) for obesity class 2, and 0.89 (95% CI 0.83, 0.95) for obesity class 3. CONCLUSIONS: Co-morbidities and caesarean birth explained an association between high prepregnancy BMI and SMM. These findings suggest that promotion of healthy prepregnancy weight, along with management of co-morbidities and support of vaginal birth in pregnant women with high BMI, could reduce the risk of SMM. However, these mediators did not reduce the elevated risk of SMM observed in women with low BMI.

The contribution of maternal characteristics and cesarean delivery to an increasing trend of severe maternal morbidity.

BACKGROUND: Severe maternal morbidity - life-threatening childbirth complications - has more than doubled in the United States over the past 15 years, affecting more than 50,000 women (1.4% of deliveries) annually. During this time period, maternal age, obesity, comorbidities, and cesarean delivery also increased and may be related to the rise in severe maternal morbidity. We sought to evaluate: (1) the association of advanced maternal age, pre-pregnancy obesity, pre-pregnancy comorbidities, and cesarean delivery with severe maternal morbidity, and (2) whether changes in the prevalence of these risk factors affected the trend of severe maternal morbidity. METHODS: This population-based cohort study used linked birth record and patient discharge data from live births in California during 2007-2014 (n = 3,556,206). We used multivariable logistic regression models to assess the association of advanced maternal age (≥35 years), pre-pregnancy obesity (body mass index ≥30 kg/m2), pre-pregnancy comorbidity (index of 12 conditions), and cesarean delivery with severe maternal morbidity prevalence and trends. Severe maternal morbidity was identified by an index of 18 diagnosis and procedure indicators. We estimated odds ratios, predicted prevalence, and population attributable risk percentages. RESULTS: The prevalence of severe maternal morbidity increased by 65% during 2007-2014. Advanced maternal age, pre-pregnancy obesity, and pre-pregnancy comorbidity also increased during this period, but cesarean delivery did not. None of these risk factors affected the increasing trend of severe maternal morbidity. However, the pre-pregnancy risk factors together were estimated to contribute to 13% (95% confidence interval: 12, 14%) of severe maternal morbidity cases in the study population overall, and cesarean delivery was estimated to contribute to 37% (95% confidence interval: 36, 38%) of cases. CONCLUSIONS: Pre-pregnancy health and cesarean delivery are important risk factors for severe maternal morbidity but do not explain an increasing trend of severe maternal morbidity in California during 2007-2014. Investigation of other potential contributors is needed in order to identify ways to reverse the trend of severe maternal morbidity.

Measuring labor and delivery unit culture and clinicians' attitudes toward birth: Revision and validation of the Labor Culture Survey.

BACKGROUND: Cesarean delivery rates in the United States vary widely between hospitals, which cannot be fully explained by hospital or patient factors. Cultural factors are hypothesized to play a role in cesarean overuse, yet tools to measure labor culture are lacking. The aim of this study was to revise and validate a survey tool to measure hospital culture specific to cesarean overuse. METHODS: A panel of clinicians and researchers compiled an item bank from validated surveys, added newly created items, and performed four rounds of iterative revision and consolidation. Obstetricians, family physicians, midwives, anesthesiologists, and labor nurses were recruited from 79 hospitals in California. Exploratory factor analysis was used to reduce the number of survey items and identify latent constructs to form the basis of subscales. Confirmatory factor analysis examined reliability in 31 additional hospitals. Poisson regression assessed associations between hospitals' mean score on each individual item and cesarean rates. RESULTS: A total of 1718 individuals from 70 hospitals were included in the exploratory factor analysis. The final Labor Culture Survey (LCS) consisted of 29 items and six subscales: "Best Practices to Reduce Cesarean Overuse," "Fear of Vaginal Birth," "Unit Microculture," "Physician Oversight," "Maternal Agency," and "Cesarean Safety." CONCLUSIONS: The revised LCS is a valid and reliable tool to measure constructs shown to be associated with cesarean rates. These findings support prior research that has shown that hospital culture is measurable, and that clinician attitudes are predictive of clinician behaviors. Unique to our survey is the construct of labor and delivery unit microculture.

Do provider birth attitudes influence cesarean delivery rate: a cross-sectional study.

BACKGROUND: When used judiciously, cesarean sections can save lives; but in the United States, prior research indicates that cesarean birth rates have risen beyond the threshold to help women and infants and become a contributor to increased maternal mortality and rising healthcare costs. Healthy People 2020 has set the goal for nulliparous, term, singleton, vertex (NTSV) cesarean birth rate at no more than 23.9% of births. Currently, cesarean rates vary from 6% to 69% in US hospitals, unexplained by clinical or demographic factors. This wide variation in cesarean use is also seen among individual providers of intrapartum care. Previous research of birth attitudes found providers of intrapartum care hold widely differing views, which may be a key underlying factor influencing practice variation; however, further study is needed to determine if differences in attitudes are associated with differences in clinical outcomes. The purpose of this study was to estimate the association between individual provider attitudes towards birth and their low-risk primary cesarean rate. METHODS: Four hundred providers were drawn from a stratified random sample of all California providers of intrapartum care in 2013 and surveyed for their attitudes towards various aspects of labor and birth. Providers' NTSV cesarean birth rates were obtained for 2013 and 2014. Covariates included gender, years of experience, practice location, and primary hospital's NTSV cesarean rate. We used adjusted multivariate Poisson regression to compare cesarean rates and linear regression to compare attitude scores of providers meeting versus not meeting the Healthy People 2020 (HP2020) goal. RESULTS: Two hundred nine total participants (obstetricians, family physicians, and midwives) completed surveys, of which 109 perform cesareans. Providers' NTSV cesarean rate was significantly associated with their composite attitudes score [IRR for each one-point increase 1.21 (95% CI 1.002-1.45)]. Physicians meeting the HP2020 goal held attitudes which were significantly more favorable towards vaginal birth: mean 2.70 (95% CI 2.58-2.83) versus 2.91 (95% CI 2.82-3.00), p < 0.01. CONCLUSIONS: Provider attitudinal differences are associated with NTSV cesarean rates. Those meeting the HP2020 goal hold attitudes more favorable towards vaginal birth. These findings may present a modifiable target for quality improvement initiatives to decrease low risk primary cesareans.

Reducing Maternal Mortality and Severe Maternal Morbidity Through State-based Quality Improvement Initiatives.

State Perinatal Quality Collaboratives (PQCs) represent a major advance for scaling up quality improvement efforts for reducing maternal mortality and severe maternal morbidity. The critical roles of partners, rapid-cycle low-burden data systems, and linkage to maternal mortality review committees are reviewed. The choice of measures is also explored. California's experience with its PQC, data center, quality improvement efforts, and promising results for reduction of maternal mortality and morbidity from hemorrhage are presented. Early data from other states is also shared.