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Maternal and Child Health Journal

, Volume 23, Issue 1, pp 82–91 | Cite as

Patient-, Hospital-, and Neighborhood-Level Factors Associated with Severe Maternal Morbidity During Childbirth: A Cross-Sectional Study in New York State 2013–2014

  • Jean Guglielminotti
  • Ruth Landau
  • Cynthia A. Wong
  • Guohua Li
Article
  • 200 Downloads

Abstract

Background The incidence of severe maternal morbidity (SMM) during childbirth is increasing in the United States. A better characterization of risk factors for SMM may identify targets for improving maternal outcomes. This study aims to characterize patient-, hospital-, and neighborhood-level factors associated with SMM during childbirth. Methods SMM during childbirth was identified in the 2013–2014 State Inpatients Database for New York. Hospital and neighborhood characteristics were abstracted from the American Hospital Association and the Area Health Resources files. Multilevel modeling was used to identify factors associated with SMM, with and without blood transfusion, and its between-hospital variation. Results 403,116 delivery-related discharges from 139 hospitals were analyzed; 1557 (0.39%) recorded SMM without blood transfusion. In the final multilevel model, 7 patient-level factors were associated with a greater than fourfold increase in the risk of SMM: pulmonary hypertension, postpartum hemorrhage, placenta accreta, chronic kidney disease, cardiac conduction disorders, emergent cesarean delivery, and preeclampsia. Three hospital-level factors were associated with SMM: proportion of non-White patients, proportion of Medicaid beneficiaries, and coding intensity. No neighborhood-level factors were predictive of SMM. The proportion of variation in SMM explained by the model was 23.5 with 23.2% related to patient-level factors. The model explained 55% of the between-hospital variation, primarily related to patient-level factors. Similar results were observed for SMM with blood transfusion. Conclusions This study confirms the association between patient-level factors and SMM. It identifies patient-level factors as the major driver of between-hospital variation in SMM. Efforts to improve maternal outcomes should target patient-level factors.

Keywords

Maternal morbidity Childbirth Hospitals Neigborhood 

Notes

Funding

Support was provided solely from institutional and/or departmental sources.

Compliance with Ethical Standards

Conflict of interest

The authors declare no competing interests.

Supplementary material

10995_2018_2596_MOESM1_ESM.docx (95 kb)
Supplementary material 1 (DOCX 94 KB)

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of AnesthesiologyColumbia University College of Physicians and SurgeonsNew YorkUSA
  2. 2.INSERM, UMR 1137, IAMEParisFrance
  3. 3.Département d’Anesthésie-Réanimation, APHP, Hôpital Bichat-Claude BernardParis Cedex 18France
  4. 4.Department of AnesthesiaUniversity of Iowa Carver College of MedicineIowa CityUSA
  5. 5.Department of EpidemiologyColumbia University Mailman School of Public HealthNew YorkUSA

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