Medicaid Expansion, Uninsurance Rates, and Catastrophic Costs at the Time of Emergency Gynecologic Surgery.

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Date

2025-04

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Abstract

Objective

To estimate the effect of Medicaid expansion on uninsurance rates and catastrophic charges from emergency surgical management of ectopic pregnancy and ovarian torsion using difference-in-difference analysis and to evaluate for racial and ethnic disparities.

Methods

We conducted a retrospective cohort analysis using 2012-2018 State Inpatient Data and State Ambulatory Surgery and Services Databases in four states: Kentucky and Maryland (expansion) and Florida and North Carolina (nonexpansion). Patients undergoing surgical management of ovarian torsion or ectopic pregnancy were included. Logistic regression models were used controlling for year and expansion type; a difference-in-difference treatment indicator was used to evaluate changes in uninsurance rates and catastrophic spending (hospital charges more than 10% of estimated annual median income) among those uninsured. We then examined race and ethnicity for those uninsured before and after expansion by state.

Results

A total of 594,116 patients were included. Before expansion, the percent of patients uninsured was higher in nonexpansion states (6.5%) compared with expansion states (5.1%). After expansion, the percent uninsured decreased from 5.1% to 2.4% in expansion states compared with 6.5% to 5.3% in nonexpansion states. The interaction between expansion year and Medicaid expansion status was significant ( P <.001). Pre-expansion percent catastrophic charges among uninsured patients were higher in nonexpansion states compared with expansion states (96.7% vs 85.7%). After expansion, the percent catastrophic financial burden remained higher at 96.9% in nonexpansion states compared with 82.5% in expansion states. The interaction between expansion year and Medicaid expansion status was significant ( P <.001). The uninsured gap between Black or African American and White patients in expansion states after expansion was 0.5%-relatively unchanged-compared with 11.6% for Hispanic and non-Hispanic patients, an increase from 8.3% before expansion.

Conclusion

Medicaid expansion was associated with reductions in uninsured hospitalizations and catastrophic charges after gynecologic surgical emergencies and was associated with differences between Hispanic and non-Hispanic patients.

Department

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Provenance

Subjects

Humans, Gynecologic Surgical Procedures, Retrospective Studies, Pregnancy, Adult, Medically Uninsured, Medicaid, Insurance Coverage, United States, Kentucky, North Carolina, Female, Healthcare Disparities, Patient Protection and Affordable Care Act

Citation

Published Version (Please cite this version)

10.1097/aog.0000000000005852

Publication Info

Carrillo-Kappus, Kristen, Benjamin Albright, Shakthi Unnithan, Alaattin Erkanli and Haley Moss (2025). Medicaid Expansion, Uninsurance Rates, and Catastrophic Costs at the Time of Emergency Gynecologic Surgery. Obstetrics and gynecology, 145(4). pp. 377–385. 10.1097/aog.0000000000005852 Retrieved from https://hdl.handle.net/10161/32185.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Unnithan

Shakthi Unnithan

Biostatistician II

Shakthi earned her Master's in Statistics with a concentration in biostatistics from North Carolina State University. Shakthi currently collaborates with researchers in the Department of Obstetrics and Gynecology and Department of Neurology. Her statistical interests include regression modeling and machine learning techniques for high dimensional data.

Erkanli

Alaattin Erkanli

Associate Professor of Biostatistics & Bioinformatics

Areas of research interests include Bayesian hierarchical models for longitudinal data, Bayesian optimal designs, finite mixtures and Mixtures of Dirichlet Processes, Markov transition models, nonparametrics smoothing and density estimation, survival analysis for recurrent-event data, biomarker selection and detecting early ovarian cancer.

Moss

Haley A Moss

Assistant Professor of Obstetrics and Gynecology

Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.