Disparities in Obstetric Readmissions: A Multistate Analysis, 2007-2014

Disparities in postpartum readmission by patient- and hospital-level social risk factors in the United States: a retrospective multistate analysis, 2015-2020

BACKGROUND

Postpartum readmission is an area of focus for improving obstetric care and reducing costs. We examined disparities in all-cause 30-day postpartum readmission by patient- and hospital-level factors in the United States.

METHODS

We conducted a retrospective cohort study using 2015-2020 records from the State Inpatient Databases from four states. Generalized linear mixed models were constructed to estimate the effects of individual patient- and hospital-level factors on adjusted odds of 30-day readmission after controlling for confounders. Stratified analyses by delivery and anesthesia type (New York only) and interaction models were performed.

RESULTS

Black mothers were more likely than White mothers to be readmitted within 30-days postpartum (aOR 1.57, 95% CI 1.52 to 1.61). Mothers with public insurance had increased odds of readmission compared with those with private insurance (Medicare: aOR 2.13, 95% CI 1.95 to 2.32; Medicaid: aOR 1.14, 95% CI 1.11 to 1.17). Compared with mothers in the lowest income quartile, those in the highest quartile experienced a 14% lower odds of readmission (aOR 0.86, 95% CI 0.83 to 0.89). There were no significant associations between hospital-level characteristics and readmission. Black mothers were more likely to be readmitted regardless of delivery type and most combinations of delivery and anesthesia type. Black mothers from the highest income quartile were more likely to be readmitted than White mothers from the lowest income quartile.

CONCLUSION

Substantial disparities in 30-day postpartum readmissions by patient-level social factors were observed, particularly amongst Black mothers. Action is needed to address and mitigate disparities in postpartum readmission.

Trends in racial/ethnic disparities in postpartum hospital readmissions in California from 1997 to 2018

BACKGROUND

Postpartum readmission is an important indicator of postpartum morbidity. The likelihood of postpartum readmission is highest for Black individuals. However, it is unclear whether the likelihood of postpartum readmission has changed over time according to race/ethnicity. Little is also known about the factors that contribute to these trends.

OBJECTIVE

This study aimed to: (1) examine trends in postpartum readmission by race/ethnicity, (2) examine if prenatal or clinical factors explain the trends, and (3) investigate if racial/ethnic disparities changed over time.

STUDY DESIGN

We examined trends in postpartum readmission, defined as hospitalization within 42 days after birth hospitalization discharge, using live birth and fetal death certificates linked to delivery discharge records from 10,711,289 births in California from 1997 to 2018. We used multivariable logistic regression models that included year and year-squared (to allow for nonlinear trends), overall and stratified by race/ethnicity, to estimate the annual change in postpartum readmission during the study period, represented by odds ratios and 95% confidence intervals. We then adjusted models for prenatal (eg, patient demographics) and clinical (eg, gestational age, mode of birth) factors. To determine whether racial/ethnic disparities changed over time, we calculated risk ratios for 1997 and 2018 by comparing the predicted probabilities from the race-specific, unadjusted logistic regression models.

RESULTS

The overall incidence of postpartum readmission was 10 per 1000 births (17.4/1000 births for non-Hispanic Black, 10/1000 for non-Hispanic White, 7.9/1000 for non-Hispanic Asian/Pacific Islander, and 9.6/1000 for Hispanic individuals). Odds of readmission increased for all groups during the study period; the increase was greatest for Black individuals (42% vs 21%-29% for the other groups). After adjustment for prenatal and clinical factors, the increase in odds was similar for Black and White individuals (12%). The disparity in postpartum readmission rates relative to White individuals increased for Black individuals (risk ratio, 1.68 in 1997 and 1.90 in 2018) and more modestly for Hispanic individuals (risk ratio, 1.02 in 1997 and 1.05 in 2018) during the study period. Asian/Pacific Islander individuals continued to have lower risk than White individuals during the study period (risk ratio, 0.87 in 1997 and 0.82 in 2018).

CONCLUSION

The rate of postpartum readmissions increased from 1997 to 2018 in California across all racial/ethnic groups, with the greatest increase observed for Black individuals. Racial/ethnic differences in the trend were more modest after adjustment for prenatal and clinical factors. It is important to find ways to prevent further increases in postpartum readmission, especially among groups at highest risk.

Prospective Survey of Discrimination in Pregnant Persons and Correlation with Unplanned Healthcare Utilization

OBJECTIVE

To determine the association between lifetime exposure to discrimination and unplanned healthcare utilization in pregnant persons.

METHODS

This was a prospective cohort study of pregnant persons receiving care from 2021 to 2022. Primary data was collected from participants on sociodemographic factors and on Perceived Ethnic Discrimination Questionnaire (PED-Q), a validated 17-item scale measuring perceived lifetime interpersonal racial and ethnic discrimination in four domains: work/school, social exclusion, stigmatization, and threat. The primary outcome was unplanned healthcare utilization, defined as unplanned labor and delivery admissions, triage, Emergency Department, or urgent care visits. Bivariate and multivariate analyses were done to examine the association between lifetime exposure to discrimination and unplanned healthcare utilization.

RESULTS

A total of 289 completed the PED-Q and were included in the analysis. Of these, 123 (42.6%) had unplanned healthcare utilization. Mean (SD) of lifetime racial and ethnic discrimination was significantly higher in people with unplanned healthcare utilization compared to those with planned healthcare utilization [1.67 (0.63) vs 1.48 (0.45), p = 0.003]. Univariate analysis showed that lifetime racial and ethnic discrimination was significantly associated with unplanned healthcare utilization (OR 1.96, 95% CI 0.23-3.11). Significant associations were found between unplanned healthcare utilization and maternal age (p = 0.04), insurance type (p = 0.01), married status (p < 0.001), education (p = 0.013), household income (p = 0.001), and chronic hypertension (p = 0.004). After controlling for potential confounding factors, self-reported lifetime racial and ethnic discrimination remained significantly associated with higher odds of unplanned healthcare utilization (aOR 1.78, CI 95% 1.01-3.11).

CONCLUSION

We found that a higher level of self-reported lifetime racial and ethnic discrimination was associated with increased unplanned healthcare utilization during pregnancy.

Mental health and substance use disorders at delivery hospitalization and readmissions after delivery discharge

BACKGROUND

The objective was to assess mental health and substance use disorders (MSUD) at delivery hospitalization and readmissions after delivery discharge.

METHODS

This is a population-based retrospective cohort study of persons who had a delivery hospitalization during January to September in the 2019 Nationwide Readmissions Database. We calculated 90-day readmission rates for MSUD and non-MSUD, overall and stratified by MSUD status at delivery. We used multivariable logistic regressions to assess the associations of MSUD type, patient, clinical, and hospital factors at delivery with 90-day MSUD readmissions.

RESULTS

An estimated 11.8% of the 2,697,605 weighted delivery hospitalizations recorded MSUD diagnoses. The 90-day MSUD and non-MSUD readmission rates were 0.41% and 2.9% among delivery discharges with MSUD diagnoses, compared to 0.047% and 1.9% among delivery discharges without MSUD diagnoses. In multivariable analysis, schizophrenia, bipolar disorder, stimulant-related disorders, depressive disorders, trauma- and stressor-related disorders, alcohol-related disorders, miscellaneous mental and behavioral disorders, and other specified substance-related disorders were significantly associated with increased odds of MSUD readmissions. Three or more co-occurring MSUDs (vs one MSUD), Medicare or Medicaid (vs private) as the primary expected payer, lowest (vs highest) quartile of median household income at residence zip code level, decreasing age, and longer length of stay at delivery were significantly associated with increased odds of MSUD readmissions.

CONCLUSION

Compared to persons without MSUD at delivery, those with MSUD had higher MSUD and non-MSUD 90-day readmission rates. Strategies to address MSUD readmissions can include improved postpartum MSUD follow-up management, expanded Medicaid postpartum coverage, and addressing social determinants of health.

Social determinants of health: modeling and targeting patient propensity to attend pain clinic appointments

Aim: We sought to investigate the impact of social determinants of health on pain clinic attendance. Materials & methods: Retrospective data were collected from the Pain Center at Montefiore Medical Center from 2016 to 2020 and analyzed with multivariable logistic regression. Results: African-Americans were less likely to attend appointments compared with White patients (odds ratio [OR]: 0.73; 95% CI: 0.70-0.77; p < 0.001). Males had decreased attendance compared with females (OR: 0.89; 95% CI: 0.87-0.92; p < 0.001). Compared with Commercial, those with Medicaid (OR: 0.69; 95% CI: 0.66-0.72; p < 0.001) and Medicare (OR: 0.76; 95% CI: 0.73-0.80; p < 0.001) insurance had decreased attendance. Conclusion: Significant disparities exist in pain clinic attendance based upon social determinants of health including race, gender and insurance type.

Economic burden of maternal mortality in the USA, 2018-2020

Aim: To evaluate the economic burden of age- and race/ethnicity-based US maternal mortality disparities. Economic burden is estimated by years of potential life lost (YPLL) and value of statistical life (VSL). Methods: Maternal mortality counts (2018-2020) were obtained from the CDC Wide-ranging Online Data for Epidemiologic Research database. Life-expectancy data were obtained from the Social Security actuarial tables. YPLL and VSL were calculated and stratified by age (classified as under 25, 25-39, and 40 and over) and race/ethnicity (classified as Hispanic, non-Hispanic White, non-Hispanic Black). Results: Economic measures associated with maternal mortality increased by an estimated 30%, from a YPLL of 32,824 and VSL of US$7.9 billion in 2018 to a YPLL of 43,131 and VSL of US$10.4 billion in 2020. Conclusion: Our findings suggest that age, race and ethnicity are major drivers of the US maternal mortality economic burden.

Obstetric and perinatal racial and ethnic disparities

PURPOSE OF REVIEW

Healthcare disparities are health differences that adversely affect disadvantaged populations. In the United States, research shows that women of color, in particular Black and Hispanic women and their offspring, experience disproportionately higher mortality, severe maternal morbidity, and neonatal morbidity and mortality. This review highlights recent population health sciences and comparative effectiveness research that discuss racial and ethnic disparities in maternal and perinatal outcomes.

RECENT FINDINGS

Epidemiological research confirms the presence of maternal and neonatal disparities in national and multistate database analysis. These disparities are associated with geographical variations, hospital characteristics and practice patterns, and patient demographics and comorbidities. Proposed solutions include expanded perinatal insurance coverage, increased maternal healthcare public funding, and quality improvement initiatives/efforts that promote healthcare protocols and practice standardization.

SUMMARY

Obstetrical healthcare disparities are persistent, prevalent, and complex and are associated with systemic racism and social determinants of health. Some of the excess disparity gap can be explained through community-, hospital-, provider-, and patient-level factors. Providers and healthcare organizations should be mindful of these disparities and strive to promote healthcare justice and patient equity. Several solutions provide promise in closing this gap, but much effort remains.