Maternal Obstetric Complication Rates Remain High in Illinois: A Retrospective Study, 2010-2015

Delivery Complications and Postpartum Hospital Use in California

INTRODUCTION

Research on maternal birth outcomes rarely includes postpartum complications with longitudinally linked patient data. We analyze characteristics associated with delivery complications and postpartum hospital use.

METHODS

This population-based cohort study is based on administrative data from California. International Classification of Diseases, 10th Revision, codes were used to categorize the incidence of severe maternal morbidity and other route-specific delivery complications as well as preexisting and pregnancy-related conditions and principal diagnoses for postpartum hospital visits. Postpartum hospital use is a composite outcome defined as emergency department visit or hospital readmission within 90 days of birth admission discharge. Multivariable modified Poisson regression analyses were used to estimate the association of patient-level and hospital-level characteristics with the likelihood of postpartum hospital use.

RESULTS

In 2017, 457,498 birth admissions occurred in California-licensed hospitals, of which 348,828 index births with linked data were analyzed. Among linked births, 34,825 (10.0%) had an inpatient admission (4,206 [1.2%]) or an emergency department visit (30,371 [9.2%]) within 90 days of birth admission discharge. Birth complications included a 1.7% severe maternal morbidity rate, 7.9% rate of vaginal birth complications, 10.0% rate of cesarean birth complications, and 2.9% frequency of long lengths of stay, all of which were significantly associated with postpartum hospital use. Other significant risk factors for postpartum hospital use were preexisting and pregnancy-related conditions, undergoing cesarean birth, being younger than 18 years old, being non-Hispanic Black, living in a high poverty ZIP code, and having Medicaid.

CONCLUSION

One in 10 birthing persons had a hospital visit within 90 days postpartum. Improving postpartum care is an urgent public health priority.

A scoping review of severe maternal morbidity: describing risk factors and methodological approaches to inform population-based surveillance

Background

Current interest in using severe maternal morbidity (SMM) as a quality indicator for maternal healthcare will require the development of a standardized method for estimating hospital or regional SMM rates that includes adjustment and/or stratification for risk factors.

Objective

To perform a scoping review to identify methodological considerations and potential covariates for risk adjustment for delivery-associated SMM.

Search methods

Following the guidelines for Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews, systematic searches were conducted with the entire PubMed and EMBASE electronic databases to identify publications using the key term “severe maternal morbidity.”

Selection criteria

Included studies required population-based cohort data and testing or adjustment of risk factors for SMM occurring during the delivery admission. Descriptive studies and those using surveillance-based data collection methods were excluded.

Data collection and analysis

Information was extracted into a pre-defined database. Study design and eligibility, overall quality and results, SMM definitions, and patient-, hospital-, and community-level risk factors and their definitions were assessed.

Main results

Eligibility criteria were met by 81 studies. Methodological approaches were heterogeneous and study results could not be combined quantitatively because of wide variability in data sources, study designs, eligibility criteria, definitions of SMM, and risk-factor selection and definitions. Of the 180 potential risk factors identified, 41 were categorized as pre-existing conditions (e.g., chronic hypertension), 22 as obstetrical conditions (e.g., multiple gestation), 22 as intrapartum conditions (e.g., delivery route), 15 as non-clinical variables (e.g., insurance type), 58 as hospital-level variables (e.g., delivery volume), and 22 as community-level variables (e.g., neighborhood poverty).

Conclusions

The development of a risk adjustment strategy that will allow for SMM comparisons across hospitals or regions will require harmonization regarding: a) the standardization of the SMM definition; b) the data sources and population used; and c) the selection and definition of risk factors of interest.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40748-020-00123-1.