Comparing Cesarean Birth Utilization Between US Hospitals: A Demonstration of the Robson Ten-Group Classification System for Use in Quality Improvement and Benchmarking.

BACKGROUND: The World Health Organization-endorsed Robson Ten-Group Classification System (TGCS) is a standard reporting mechanism for cesarean birth, yet this approach is not widely adopted in the United States. OBJECTIVE: To describe the application and utility of the TGCS to compare hospital-level cesarean births rates, for use in quality improvement and benchmarking. METHODS: We conducted a descriptive, secondary data analysis of the Consortium on Safe Labor dataset using data from 228 438 women's births, from 2002 to 2008, in 12 sites across the United States. We stratified births into 10 mutually exclusive groups and calculated within-group proportions of group size and cesarean birth rates for between-hospital comparisons of cesarean birth, trial of labor after cesarean (TOLAC), and labor induction utilization. RESULTS: There is variation in use of cesarean birth, labor induction, and TOLAC across the 12 sites. CONCLUSION: The TGCS provides a method for between-hospital comparisons, particularly for revealing usage patterns of labor induction, TOLAC, and cesarean birth. Adoption of the TGCS in the United States would provide organizations and quality improvement leaders with an effective benchmarking tool to assist in reducing the use of cesarean birth and increasing the support of TOLAC.

Place of Birth Preferences and Relationship to Maternal and Newborn Outcomes Within the American Association of Birth Centers Perinatal Data Registry, 2007-2020.

PURPOSE: The purpose of this study was to describe sociodemographic variations in client preference for birthplace and relationships to perinatal health outcomes. METHODS: Descriptive data analysis (raw number, percentages, and means) showed that preference for birthplace varied across racial and ethnic categories as well as sociodemographic categories including educational status, body mass index, payer status, marital status, and gravidity. A subsample of medically low-risk childbearing people, qualified for birth center admission in labor, was analyzed to assess variations in maternal and newborn outcomes by site of first admission in labor. RESULTS: While overall clinical outcomes exceeded national benchmarks across all places of admission in the sample, disparities were noted including higher cesarean birth rates among Black and Hispanic people. This variation was larger within the population of people who preferred to be admitted to the hospital in labor in the absence of medical indication. CONCLUSION: This study supports that the birth center model provides safe delivery care across the intersections of US sociodemographics. Findings from this study highlight the importance of increased access and choice in place of birth for improving health equity, including decreasing cesarean birth and increasing breastfeeding initiation.

Lessons Learned Recruiting and Retaining Pregnant and Postpartum Individuals in Digital Trials: Viewpoint.

In an increasingly connected world and in the midst of a global pandemic, digital trials offer numerous advantages over traditional trials that rely on physical study sites. Digital trials have the potential to improve access to research and clinical treatments for the most vulnerable and minoritized, including pregnant and postpartum individuals. However, digital trials are underutilized in maternal and child health research, and there is limited evidence to inform the design and conduct of digital trials. Our research collaborative, consisting of 5 research teams in the U.S. and Australia, aimed to address this gap. We collaborated to share lessons learned from our experiences recruiting and retaining pregnant and postpartum individuals in digital trials of social and behavioral interventions. We first discuss the promise of digital trials in improving participation in research during the perinatal period, as well as the unique challenges they pose. Second, we present lessons learned from 12 completed and ongoing digital trials that have used platforms such as Ovia, Facebook, and Instagram for recruitment. Our trials evaluated interventions for breastfeeding, prenatal and postpartum depression, insomnia, decision making, and chronic pain. We focus on challenges and lessons learned in 3 key areas: (1) rapid recruitment of large samples with a diversity of minoritized identities, (2) retention of study participants in longitudinal studies, and (3) prevention of fraudulent enrollment. We offer concrete strategies that we pilot-tested to address these challenges. Strategies presented in this commentary can be incorporated, as well as formally evaluated, in future studies.