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Table 1.  Severe Maternal Morbidity Indicator Rates Among 2536 Individuals by Pregnancy Period per 10 000 Delivery Hospitalizations
Severe Maternal Morbidity Indicator Rates Among 2536 Individuals by Pregnancy Period per 10 000 Delivery Hospitalizations
Table 2.  Severe Maternal Morbidity by Race and Ethnicity and Mental Health Comorbidity Among 100 982 Commercially Insured Individuals
Severe Maternal Morbidity by Race and Ethnicity and Mental Health Comorbidity Among 100 982 Commercially Insured Individuals
1.
Kassebaum  NJ, Barber  RM, Bhutta  ZA,  et al; GBD 2015 Maternal Mortality Collaborators.  Global, regional, and national levels of maternal mortality, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015.   Lancet. 2016;388(10053):1775-1812. doi:10.1016/S0140-6736(16)31470-2 PubMedGoogle ScholarCrossref
2.
Petersen  EE, Davis  NL, Goodman  D,  et al.  Vital signs: pregnancy-related deaths, United States, 2011-2015, and strategies for prevention, 13 states, 2013-2017.   MMWR Morb Mortal Wkly Rep. 2019;68(18):423-429. doi:10.15585/mmwr.mm6818e1 PubMedGoogle ScholarCrossref
3.
Review to Action.  Building U.S. Capacity to Review and Prevent Maternal Deaths: Report From Nine Maternal Mortality Review Committees. Washington, DC: Review to Action; 2018. Accessed October 19, 2021. https://www.cdcfoundation.org/sites/default/files/files/ReportfromNineMMRCs.pdf.
4.
Centers for Disease Control and Prevention. Severe maternal morbidity in the United States. Updated February 2, 2021. Accessed September 16, 2021. https://www.cdc.gov/reproductivehealth/maternalinfanthealth/severematernalmorbidity.html
5.
Agency for Healthcare Research and Quality. Clinical Classifications Software (CCS) for ICD-10-CM-PCS (beta version). Healthcare Cost and Utilization Project (HCUP). November 2019. Accessed October 7, 2021. https://www.hcup-us.ahrq.gov/toolssoftware/ccs10/ccs10.jsp
6.
Bateman  BT, Mhyre  JM, Hernandez-Diaz  S,  et al.  Development of a comorbidity index for use in obstetric patients.   Obstet Gynecol. 2013;122(5):957-965. doi:10.1097/AOG.0b013e3182a603bb PubMedGoogle ScholarCrossref
Research Letter
Obstetrics and Gynecology
December 8, 2021

Comparison of Delivery-Related, Early and Late Postpartum Severe Maternal Morbidity Among Individuals With Commercial Insurance in the US, 2016 to 2017

Author Affiliations
  • 1Department of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor
  • 2Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
  • 3Program on Women’s Healthcare Effectiveness Research, Department of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor
  • 4Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor
  • 5Department of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis
  • 6Department of Psychiatry, University of Michigan Medical School, Ann Arbor
  • 7Department of Health Policy and Management, University of Michigan School of Public Health, Ann Arbor
  • 8VA Ann Arbor Healthcare System, Ann Arbor, Michigan
JAMA Netw Open. 2021;4(12):e2137716. doi:10.1001/jamanetworkopen.2021.37716
Introduction

The rate of late postpartum deaths is substantial in the US compared with other countries.1 Similar to maternal mortality occurring during and shortly after pregnancy, a 2019 report indicated that non-Hispanic Black individuals had the highest risk for late postpartum deaths in the US.2 Leading causes of late postpartum deaths differ from those occurring earlier in the perinatal period, with a large proportion resulting from underlying perinatal mood and anxiety disorders (PMADs).3 Severe maternal morbidity (SMM) is considered proximate to maternal mortality because without identification and treatment, these conditions would lead to maternal death in some cases. Studies often assess SMM at birth and early postpartum to develop strategies to prevent maternal mortality. This study assessed relative rates and characteristics of SMM occurring late postpartum overall, by race and ethnicity, and among those diagnosed with PMADs.

Methods

This cross-sectional study of deidentified data was considered exempt from review by the University of Michigan Institutional Review Board. The study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Data were analyzed from December 14, 2020, to October 7, 2021. Using deidentified claims data from the Optum Clinformatics Data Mart (Optum) for 2016 to 2017, we evaluated rates of SMM with and without blood transfusion during 3 pregnancy periods, including hospitalization for birth, hospital discharge to 42 days postpartum, and 43 to 365 days postpartum, among individuals aged 15 to 44 years. We restricted the sample to individuals with continuous enrollment in a single employer-based health plan for at least 1 year before and 1 year after a live birth. For individuals with more than 1 delivery in the 2-year period, we focused only on the index delivery. We identified SMM using diagnosis and procedure codes described by the US Centers for Disease Control and Prevention.4 Race and ethnicity were determined based on classifications provided in the Optum database (ie, Asian, Black, Hispanic, White, and unknown/missing), and PMADs were identified in delivery records.5

We assessed rates of SMM with and without blood transfusion in each period using logistic regression models with predictive margins adjusted for age, insurance plan type, region, obstetric comorbidity,6 race and ethnicity, and PMADs. Cluster-based standard errors accounted for heteroskedasticity across insurance plans. We performed all analyses (2-sided test, α = .05 threshold) using SAS version 9.4 (SAS Institute Inc) and Stata version 14.1 (StataCorp LLC).

Results

The study sample comprised 100 982 individuals with a mean (SD) age of 31.6 (5.2) years. Rates (95% CIs) of SMM with transfusion were 177.7 (169.6-186.0), 61.1 (56.4-66.1), and 30.3 (27.0-33.9) per 10 000 delivery hospitalizations across the pregnancy, early postpartum, and late postpartum periods, respectively. SMM without blood transfusion followed a similar pattern, with rates (95% CIs) of 105.2 (99.0-111.7), 56.5 (52.0-61.3), and 26.5 (23.5-29.9) per 10 000 delivery hospitalizations, respectively. The frequency of specific SMM indicators varied by period (Table 1).

Rates of SMM with and without blood transfusion varied by race and ethnicity and PMAD status. Higher rates (95% CIs) of SMM with transfusion were identified among Black individuals (277.3 [245.2-309.4], 110.7 [88.3-133.1], and 44.3 [30.0-58.6]) compared with White individuals (166.7 [157.0-176.4], 56.4 [50.5-62.3], and 28.9 [24.7-33.2]) for the pregnancy, early postpartum, and late postpartum periods, respectively. Higher rates (95% CIs) of SMM with transfusion were also identified in each of the 3 periods among individuals with PMADs (339.2 [294.8-383.7], 167.7 [136.3-199.2], and 131.8 [103.2-160.5]) compared with individuals without PMADs (166.2 [157.9-174.5], 53.7 [49.1-58.3], and 23.5 [20.3-26.7]), respectively (Table 2).

Discussion

The most common SMM indicators early and late postpartum included severe anesthesia complications and sepsis. Black individuals had the highest rates of SMM in each pregnancy period compared to individuals from other racial and ethnic groups. In contrast with trends in the overall population, individuals with PMADs experienced a markedly sustained risk for SMM early and late postpartum, which should inform clinical and policy strategies to address and prevent maternal morbidity and mortality among this population.

Limitations of this study include the following: the focus on live births rather than other pregnancy outcomes; the limited generalizability of a study population with continuous commercial insurance coverage during the postpartum year; the inability to measure death as a competing outcome, given the low sample size; issues inherent with using the race and ethnicity categories provided in the Optum database; and the inability to measure racism. Nonetheless, our findings suggest that racial and ethnic inequities are associated with SMM in the postpartum year and that SMM is particularly elevated among individuals with PMADs.

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Article Information

Accepted for Publication: October 12, 2021.

Published: December 8, 2021. doi:10.1001/jamanetworkopen.2021.37716

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Admon LK et al. JAMA Network Open.

Corresponding Author: Lindsay K. Admon, MD, MSc, Department of Obstetrics and Gynecology, University of Michigan Medical School, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5276 (lindskb@med.umich.edu).

Author Contributions: Dr Admon and Ms Kolenic had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Admon, Dalton, Kolenic, Kozhimannil, Zivin.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Admon, Kolenic, Tilea.

Critical revision of the manuscript for important intellectual content: Admon, Dalton, Kolenic, Hall, Kozhimannil, Zivin.

Statistical analysis: Admon, Dalton, Kolenic, Tilea.

Obtained funding: Admon, Zivin.

Administrative, technical, or material support: Hall, Kozhimannil, Zivin.

Supervision: Dalton, Zivin.

Conflict of Interest Disclosures: Dr Admon reported receiving grants from the National Institutes of Health (NIH), Agency for Healthcare Research and Quality, American College of Obstetricians and Gynecologists, Centers for Disease Control and Prevention Division of Reproductive Health, Commonwealth Foundation, and Health Resource and Services Administration and personal fees from the Medicaid and CHIP Payment and Access Commission. Dr Dalton reported receiving grants from the NIH, American Association of Obstetricians and Gynecologists Foundation, Laura and John Arnold Foundation, National Institute for Reproductive Health, Blue Cross Blue Shield Foundation, Society of Family Planning, and Michigan Department of Health and Human Services. Dr Dalton also reported receiving personal fees from and serving as a consultant for Bind, being a paid contributing editor for the Medical Letter and an author for UpToDate, serving as an expert witness for Merck, and participating in study sections for the NIH and Agency for Healthcare Research and Quality. Dr Hall reported receiving grants from the NIH. Dr Zivin reported receiving grants from the NIH. No other disclosures were reported.

Funding/Support: This study was funded by grant R01MH120124 from the National Institute of Mental Health and the NIH Office of Research on Women’s Health, grant R01MD014958 from the National Institute of Minority Health and Health Disparities, and grant K08HS027640 from the Agency for Healthcare Research and Quality (Dr Admon).

Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

References
1.
Kassebaum  NJ, Barber  RM, Bhutta  ZA,  et al; GBD 2015 Maternal Mortality Collaborators.  Global, regional, and national levels of maternal mortality, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015.   Lancet. 2016;388(10053):1775-1812. doi:10.1016/S0140-6736(16)31470-2 PubMedGoogle ScholarCrossref
2.
Petersen  EE, Davis  NL, Goodman  D,  et al.  Vital signs: pregnancy-related deaths, United States, 2011-2015, and strategies for prevention, 13 states, 2013-2017.   MMWR Morb Mortal Wkly Rep. 2019;68(18):423-429. doi:10.15585/mmwr.mm6818e1 PubMedGoogle ScholarCrossref
3.
Review to Action.  Building U.S. Capacity to Review and Prevent Maternal Deaths: Report From Nine Maternal Mortality Review Committees. Washington, DC: Review to Action; 2018. Accessed October 19, 2021. https://www.cdcfoundation.org/sites/default/files/files/ReportfromNineMMRCs.pdf.
4.
Centers for Disease Control and Prevention. Severe maternal morbidity in the United States. Updated February 2, 2021. Accessed September 16, 2021. https://www.cdc.gov/reproductivehealth/maternalinfanthealth/severematernalmorbidity.html
5.
Agency for Healthcare Research and Quality. Clinical Classifications Software (CCS) for ICD-10-CM-PCS (beta version). Healthcare Cost and Utilization Project (HCUP). November 2019. Accessed October 7, 2021. https://www.hcup-us.ahrq.gov/toolssoftware/ccs10/ccs10.jsp
6.
Bateman  BT, Mhyre  JM, Hernandez-Diaz  S,  et al.  Development of a comorbidity index for use in obstetric patients.   Obstet Gynecol. 2013;122(5):957-965. doi:10.1097/AOG.0b013e3182a603bb PubMedGoogle ScholarCrossref
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