Experiences of racism and postpartum depression symptoms, care-seeking, and diagnosis

Racial Discrimination, Social Support, and Psychological Distress Among Black Pregnant Women

BACKGROUND

Black pregnant women who experience racial discrimination are at an increased risk of psychological distress. Studies have not adequately addressed if social support may moderate the association between experiences of racial discrimination and psychological distress among Black pregnant women.

OBJECTIVE

We sought to examine the moderating effect of social support on the association between experiences of racial discrimination and psychological distress among Black pregnant women.

METHODS

We report findings based on cross-sectional data collected from 599 Black pregnant women enrolled in a prospective cohort study prior to the COVID-19 pandemic. Women completed questionnaires about experiences of racial discrimination (Experiences of Discrimination), social support (MOS Social Support Survey), and psychological distress (Psychological General Wellbeing Index).

RESULTS

Women had an average age of 26 ± 5 years and gestational age at data collection of 17 ± 6 weeks. Approximately 53% of women reported ever experiencing racial discrimination in at least one situation, and 54% reported psychological distress. After adjustment for covariates, racial discrimination was associated with a 2.2-fold increase in psychological distress (odds ratio [OR] = 2.24; 95% confidence interval [CI] 1.35-3.70; P = .002). Low social support (scores below the median) was associated with a 3.8-fold higher likelihood of psychological distress (OR = 3.84, 95% CI 2.27-6.48, P < .001). Social support did not moderate the association of lifetime experiences of racial discrimination with psychological distress.

CONCLUSIONS

Findings of the study contribute to evidence that lifetime experiences of racial discrimination and low levels of social support relate to psychological distress among Black pregnant women.

Intimate Partner Violence, Loss of Control, and Adolescent Perception of Birth

This secondary analysis used cross-sectional baseline data from a previous longitudinal study exploring the mental health of 303 postpartum adolescents to examine associations and predictors reflecting the perception of the birth experience among three race-ethnic groups. Analysis of two key variables, partner violence and loss of control (LOC) during labor, revealed no association. Race-ethnic differences were noted for demographic variables (marital status, birth mode, and stress level) and perception of the birth experience. Black ethnicity, multiparity, LOC, and vaginal birth were found to predict a negative perception of the birth experience. Health-care provider awareness of risk factors can guide perinatal assessments and supportive and educational interventions to promote a positive perception of birth.

Racism in obstetric care: a psychometric study of the Gendered Racial Microaggressions Scale among Global Majority birthing people in obstetric contexts

In the United States, maternal health inequities disproportionately affect Global Majority (e.g., Asian, Black, and Hispanic) populations. Despite a substantial body of research underscoring the influence of racism on these inequities, little research has examined how experiences of gendered racial microaggressions during pregnancy and birth impact racially and ethnically diverse Global Majority pregnant and birthing people in obstetric hospital settings. We evaluated the psychometric properties of an adapted version of Lewis & Neville's Gendered Racial Microaggressions Scale, using data collected from 417 Global Majority birthing people. Findings from our study indicate that our adapted GRMS is a valid tool for assessing the experiences of gendered racial microaggressions in hospital-based obstetric care settings among Global Majority pregnant and birthing people whose preferred languages are English or Spanish. Item Response Theory (IRT) analysis demonstrated high construct validity of the adapted GRMS scale (Root Mean Square Error of Approximation = 0.1089 (95% CI 0.0921, 0.1263), Comparative Fit Index = 0.977, Standardized Root Mean Square Residual = 0.075, log-likelihood c2 = -85.6, df = 8). IRT analyses demonstrated that the unidimensional model was preferred to the bi-dimensional model as it was more interpretable, had lower AIC and BIC, and all items had large discrimination parameters onto a single factor (all discrimination parameters > 3.0). Given that we found similar response profiles among Black and Hispanic respondents, our Differential Item Functioning analyses support validity among Black, Hispanic, and Spanish-speaking birthing people. Inter-item correlations demonstrated adequate scale reliability, α = 0.97, and empirical reliability = 0.67. Pearsons correlations was used to assess the criterion validity of our adapted scale. Our scale's total score was significantly and positively related to postpartum depression and anxiety. Researchers and practitioners should seek to address instances of gendered racial microaggressions in obstetric settings, as they are manifestations of systemic and interpersonal racism, and impact postpartum health.

Characterizing the utilization of doula support services among birthing people of color in the United States: a scoping review

BACKGROUND

Birthing people of color experience disproportionately higher rates of infant and maternal mortality during pregnancy and birth compared to their white counterparts. The utilization of doula support services may lead to improvements in the birthing experiences of birthing people of color. Yet, the research in this area is sparse. Thus, the purpose of this review is to characterize the research on doula utilization among birthing people of color, identify gaps in the field, and provide recommendations for future research.

METHODS

Utilizing PRISMA guidelines, we conducted a scoping review, searching PubMed, PsycINFO, CINAHL, and Google Scholar for peer-reviewed articles published between January 1, 2016, to July 3, 2022.

RESULTS

Twenty-five articles met inclusion criteria. We identified the three themes characterizing included studies: (1) how doulas support (HDS) their clients, (2) doula support outcomes (DSO), and (3) considerations for implementing doula support services (CIDS). Despite doulas being described as agents of empowerment, and providing social support, education, and advocacy, birthing people of color reported low utilization of doula support services and findings regarding their effectiveness in improving birthing outcomes were mixed.

CONCLUSIONS

While some studies suggest that doulas may offer important services to birthing people of color, doulas are largely under-utilized, with many birthing people reporting low knowledge of their potential roles during the pre- and post-partum periods. Moreover, few studies were designed to assess intervention effects, limiting our ability to draw firm conclusions. Birthing people of color are at elevated risk for maternal mortality. As such, interventions are needed to support this population and improve outcomes. Our review suggests that, while doulas have the potential to make important contributions to the birthing support team, they are underutilized, and intervention studies are needed to enable estimates of their true effectiveness.

The Association of Racism and Discrimination in Disparities of Hypertensive Disorders of Pregnancy in the United States: An Analysis of PRAMS Data

BACKGROUND

Hypertensive disorders of pregnancy are a leading cause of maternal mortality. Racial disparities in maternal outcomes such as maternal mortality in the United States (US) are well-documented, but the relationship of racism and/or discrimination with one's risk of developing a hypertension during pregnancy (HDP) is not well-studied.

METHODS

Data from 17 sites that asked questions regarding experiences with racism and/or discrimination during pregnancy via the Pregnancy Risk Assessment Monitoring System (PRAMS) Phase 8 (2016-2020) was used. Logistic regression models were used compare the potential of stress induced HDP from perceived experiences of racism and/or discrimination versus the effect of systemic racism and/or discrimination (in healthcare settings and generally) on racial disparities in HDP diagnosis.

RESULTS

Among 9,907 live births, 18% of participants reported they were diagnosed with hypertension during pregnancy, with non-Hispanic Black individuals having the highest rate (21.8%). Regarding experiences of racism and/or discrimination, 76.4% of participants responded "yes", with all races/ethnicities studied here except non-Hispanic White individuals responding "yes" at rates higher than 89%. Perceived experiences of racism and/or discrimination did not statistically significantly affect one's odds of being diagnosed with HDP (OR = 0.94, CI: 0.74, 1.20). The disparity in odds of having hypertension during pregnancy between Non-Hispanic Black individuals and non-Hispanic White individuals was not statistically significant when perceived experiences of racism and/or discrimination were included in the model.

CONCLUSIONS

Experiences of racism and/or discrimination drive racial disparities in hypertensive disorders in pregnancy.

PUBLIC HEALTH IMPLICATIONS

It is vital to eliminate racist and discriminatory practices and behaviors to reduce maternal morbidity and mortality.

Differences between rural and urban residence in the detection and treatment of perinatal mood and anxiety disorders

BACKGROUND

Perinatal mood and anxiety disorders are common, serious complications of pregnancy. Disparities exist by race and income in the prevalence and treatment of these conditions, and overall treatment rates remain low. Outside of pregnancy, a small body of literature suggests that rural residency may contribute to higher rates of depression for those who identify as women. However, among more diverse populations, evidence suggests urban residency may be associated with higher rates of depression among women of color. It is not known whether these trends hold for mood and anxiety disorders during pregnancy and postpartum.

OBJECTIVE

We examined differences in the detection and treatment of perinatal mood and anxiety disorders by rural and urban residents and assessed if the observed differences varied by maternal race or ethnicity.

STUDY DESIGN

We conducted a cross-sectional study using linked Medicaid claims and birth certificate records from Oregon and South Carolina from 2016 to 2020. We identified perinatal mood and anxiety disorder diagnoses during the perinatal period (pregnancy and within 60 days postpartum) using International Classification of Disease 10th edition codes and enumerated receipt of pharmacotherapy and psychotherapy treatment using Medicaid claims. We used logistic regression models controlling for relevant clinical and sociodemographic characteristics to estimate associations between rural residence and mood disorder detection and treatment.

RESULTS

Among the 185,809 births in our sample, 27% of births (n=50,820) were to people who lived in rural areas and 73% (n=134,989) to those in urban areas. The prevalence of any perinatal mood and anxiety disorders diagnosis was higher for urban residents (19.5%) than for rural residents (18.0%; P<.001). Overall treatment rates were low among people with a perinatal mood and anxiety disorder (42% [n=14,789]). In our adjusted models, those living in urban areas had higher odds of a perinatal mood and anxiety disorder diagnosis (adjusted odds ratio, 1.059 [95% confidence interval, 1.059-1.059], P<.001). We found a significant interaction between maternal race and rurality (P<.001). When we stratified by race, we found that among those who identified as Black, the odds of a perinatal mood and anxiety disorder diagnosis were increased for urban residents (odds ratio, 1.188 [95% confidence interval, 1.188-1.188]), whereas among those who identified as White, there were no such increased odds (odds ratio, 1.027 [95% confidence interval, 0.843-1.252]).

CONCLUSION

We saw small but meaningful differences between rural and urban residents in perinatal mood and anxiety disorder diagnosis rates. We detected an interaction between race and rural vs urban maternal residence that impacted the observed differences. By elucidating the intersection between race and other sociodemographic factors, we hope more targeted and meaningful investments can be made in the communities most in need.

Restrictive abortion legislation and adverse mental health during pregnancy and postpartum

PURPOSE

To determine the impact of abortion legislation on mental health during pregnancy and postpartum and assess whether pregnancy intention mediates associations.

METHODS

We quantified associations between restrictive abortion laws and stress, depression symptoms during and after pregnancy, and depression diagnoses after pregnancy using longitudinal data from Nurses' Health Study 3 in 2010-2017 (4091 participants, 4988 pregnancies) using structural equation models with repeated measures, controlling for sociodemographics, prior depression, state economic and sociopolitical measures (unemployment rate, gender wage gap, Gini index, percentage of state legislatures who are women, Democratic governor).

RESULTS

Restrictive abortion legislation was associated with unintended pregnancies (β = 0.127, p = 0.02). These were, in turn, associated with increased risks of stress and depression symptoms during pregnancy (total indirect effects β = 0.035, p = 0.03; β = 0.029, p = 0.03, respectively, corresponding <1% increase in probability), but not after pregnancy.

CONCLUSIONS

Abortion restrictions are associated with higher proportions of unintended pregnancies, which are associated with increased risks of stress and depression during pregnancy.

Improving parental mental health in the perinatal period: A review and analysis of quality improvement initiatives

Parental mental health is an essential sixth vital sign that, when taken into consideration, allows clinicians to improve clinical outcomes for both parents and infants. Although standards exist for screening, referral, and treatment for perinatal mood and anxiety disorders (PMADs), they are not reliably done in practice, and even when addressed, interventions are often minimal in scope. Quality improvement methodology can accelerate the implementation of interventions to address PMADs, but hurdles exist, and systems are not well designed, particularly in pediatric inpatient facilities. In this article, we review the effect of PMADs on parents and their infants and identify quality improvement interventions that can increase screening and referral to treatment of parents experiencing PMADs.

Discrimination and Adverse Perinatal Health Outcomes: A Latent Class Analysis

INTRODUCTION

An intersectionality framework recognizes individuals as simultaneously inhabiting multiple intersecting social identities embedded within systems of disadvantage and privilege. Previous research links perceived discrimination with worsened health outcomes yet is limited by a focus on racial discrimination in isolation. We applied an intersectional approach to the study of discrimination to examine the association with adverse perinatal health outcomes.

METHODS

We analyzed data from a cohort of 2,286 pregnant participants (Black, n = 933; Hispanic, n = 471; White, n = 853; and Other, n = 29) from the Centering and Racial Disparities trial. Perceived discrimination was assessed via the Everyday Discrimination Scale (EDS) and perinatal health outcomes collected via electronic medical record review. Latent class analysis was used to identify subgroups of discrimination based on EDS item response and the rate of adverse perinatal health outcomes compared between subgroups using a Bolck, Croon and Hagenaars 3-step approach.

RESULTS

Four discrimination subgroups were identified: no discrimination, general discrimination, discrimination attributed to one or several social identities, and discrimination attributed to most or all social identities. Experiencing general discrimination was associated with postpartum depression symptoms when compared with experiencing no discrimination among Black (9% vs 5%, P = .04) and White participants (18% vs 9%, P = .01). White participants experiencing general discrimination gave birth to low birthweight infants at a higher rate than those experiencing no discrimination (11% vs 6%, P = .04). No significant subgroup differences were observed among Hispanic participants.

CONCLUSION

Perceived discrimination may play an influential role in shaping perinatal health. More research applying an intersectional lens to the study of discrimination and perinatal health outcomes is needed.

Using machine learning to predict help-seeking among 2016–2018 Pregnancy Risk Assessment Monitoring System participants with postpartum depression symptoms

Background:

Despite the importance of early identification and treatment, postpartum depression often remains largely undiagnosed with unreported symptoms. While research has identified several factors as prompting help-seeking for postpartum depression symptoms, no research has examined help-seeking for postpartum depression using data from a multi-state/jurisdictional survey analyzed with machine learning techniques.

Objectives:

This study examines help-seeking among people with postpartum depression symptoms using and demonstrating the utility of machine learning techniques.

Methods:

Data from the 2016–2018 Pregnancy Risk Assessment Monitoring System, a cross-sectional survey matched with birth certificate data, were used. Six US states/jurisdictions included the outcome help-seeking for postpartum depression symptoms and were used in the analysis. An ensemble method, “Super Learner,” was used to identify the best combination of algorithms and most important variables that predict help-seeking among 1920 recently pregnant people who screen positive for postpartum depression symptoms.

Results:

The Super Learner predicted well and had an area under the receiver operating curve of 87.95%. It outperformed the highest weighted algorithms which were conditional random forest and stochastic gradient boosting. The following variables were consistently among the top 10 most important variables across the algorithms for predicting increased help-seeking: participants who reported having been diagnosed with postpartum depression, having depression during pregnancy, living in particular US states, being a White compared to Black or Asian American individual, and having a higher maternal body mass index at the time of the survey.

Conclusion:

These results show the utility of using ensemble machine learning techniques to examine complex topics like help-seeking. Healthcare providers should consider the factors identified in this study when screening and conducting outreach and follow-up for postpartum depression symptoms.