• Sumithra Jeganathan, Rachel Solmonovich, Alejandro Alvarez, Moti Gulersen, Kiesha Benn, Burton Rochelson, and Matthew J Blitz.
• Department of Obstetrics and Gynecology, North Shore University Hospital-Northwell Health, Manhasset, New York, USA.
• J Womens Health (Larchmt). 2024 Nov 28.

AbstractPurpose: To determine if socioeconomic, demographic, and clinical characteristics are associated with postpartum readmission. Methods: A retrospective cohort study evaluating all pregnant patients that delivered at seven hospitals within a large academic health system in New York between January 1, 2018 and March 1, 2020. Demographic information, medical comorbidities, and characteristics of antepartum, intrapartum, and postpartum care were compared between patients who were readmitted within 6 weeks postpartum and those who were not. Postpartum patients who presented to the emergency department but remained less than 23 hours were excluded. Patient ZIP codes were linked to data from the United States Census Bureau's American Community Survey and used as a proxy for neighborhood socioeconomic status. Mixed effects logistic regression was used to evaluate factors associated with an increased risk of postpartum readmission while adjusting for potential confounders. Results: A total of 57,507 delivery hospitalizations were evaluated, and 1,481 (2.5%) patients were readmitted. Black race (aOR: 1.56, 95% CI: 1.30-1.86, p < 0.001) and public health insurance (aOR: 1.19, 95% CI: 1.05-1.35, p = 0.007) were associated with an increased likelihood of postpartum readmission. Chronic hypertension (aOR: 2.83, 95% CI: 2.33-3.44, p < 0.001), body mass index >25 kg/m2 (aOR: 1.22, 95% CI: 1.05-1.42, p = 0.01), gestational weight gain >40 lb (aOR: 1.19, 95% CI: 1.01-1.40, p = 0.04), and administration of blood products (aOR: 2.18, 95% CI: 1.68-2.82, p < 0.001) were associated with an increased odd of readmission. Neighborhood characteristics were not associated with postpartum readmission. Conclusion: Efforts to reduce postpartum readmissions should focus on high-risk populations. Specific sociodemographic and clinical characteristics are associated with this complication.

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