Impact of Increasing Midwifery-Led Prenatal Care on Birth Outcomes: An Application of the g-Formula and Target Trial Emulation.

Abstract

Background

Compared to undergoing prenatal care with a physician, care with a midwife reduces the risk of medical interventions and complications during labor and delivery among low-risk pregnant individuals. However, many analyses that assess the relationship between midwifery-led care and birth outcomes condition on live births, potentially inducing a type of collider bias.

Objective

The objective was to analyse the change in prevalence of caesarean deliveries, primary and secondary postpartum haemorrhage, obstetric trauma, and maternal infection under hypothetical scenarios where midwifery-led prenatal care was increased.

Methods

Our sample included commercially insured, midwifery-eligible pregnant people in an insurance claims data source. We used g-computation to assess the change in prevalence of caesarean deliveries, primary and secondary postpartum haemorrhage, obstetric trauma, and maternal infection if 10%, 20%, and 50% more pregnant people enrolled in prenatal care with a midwife rather than a physician, among a cohort of low-risk pregnant people with commercial insurance in the U.S. between 2004 and 2015.

Results

With a 50% increase in midwifery-led care compared with no increase, we found the prevalence of caesarean deliveries was reduced by 5.4 percentage points (95% confidence interval [CI] -5.7, -5.1) and of maternal infection decreased by 1.3 percentage points (95% CI -1.6, -1.0), while the prevalence of primary postpartum haemorrhage increased by 0.5 percentage points (95% CI 0.4, 0.6) and of secondary postpartum haemorrhage increased by 0.6 percentage points (95% CI 0.4, 0.7).

Conclusions

Increasing midwifery-led prenatal care reduced the prevalence of caesarean deliveries and maternal infections and slightly increased the prevalence of primary and secondary postpartum haemorrhage. Our results were similar to those of studies among live birth cohorts.

Department

Description

Provenance

Subjects

Humans, Postpartum Hemorrhage, Pregnancy Outcome, Prenatal Care, Cesarean Section, Prevalence, Midwifery, Pregnancy, Adult, United States, Female, Obstetric Labor Complications

Citation

Published Version (Please cite this version)

10.1111/ppe.70077

Publication Info

Simmons, Elizabeth, Anna Austin, Mollie Wood, Alyssa J Mansfield, Karen Sheffield-Abdullah and Kavita Singh (2026). Impact of Increasing Midwifery-Led Prenatal Care on Birth Outcomes: An Application of the g-Formula and Target Trial Emulation. Paediatric and perinatal epidemiology, 40(2). pp. 234–244. 10.1111/ppe.70077 Retrieved from https://hdl.handle.net/10161/35494.

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Mansfield

Alyssa Mansfield

MMCi Instructor in the Department of Biostatistics & Bioinformatics

Alyssa J. Mansfield is a Senior AI / Machine Learning Researcher on the Impact Analytics team at Aledade. Her training and experience include predictive modeling, causal inference, operational analytics, data management and visualization, program evaluation, patient-reported outcomes, healthcare access and utilization, and work with special populations including Medicare recipients, adolescents, women, and military/veterans. Her expertise in health services research includes complex statistical methods from a broad range of research designs. She has taught graduate-level courses in statistics, operations research, and data visualization since 2015.

 

Dr. Mansfield received her PhD in Epidemiology, her MHA in Health Policy and Management, and her MPH in Health Behavior and Health Education, all from UNC-Chapel Hill’s Gillings School of Global Public Health. Prior to joining Aledade, she worked as an associate professor of health policy and management at UNC-Chapel Hill; and an epidemiologist and researcher with several organizations, including the U.S. Department of Veterans Affairs in Honolulu, Hawaii; the U.S. Department of Defense at both Aberdeen Proving Ground in Maryland and in Landstuhl, Germany; and at RTI International in Research Triangle Park, North Carolina.


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