Preterm birth and social support services for prenatal depression and social determinants

Antepartum Intimate Partner Violence: Development of a Risk Prediction Model

Objectives: To explore socio-behavioral, clinical, and imaging findings associated with antepartum intimate partner violence (IPV) and aid in risk stratification of at-risk individuals. Methods: We analyzed electronic medical records during indexed pregnancies for 108 pregnant patients who self-reported antepartum IPV (cases) and 106 age-matched pregnant patients who did not self-report antepartum IPV (controls). Sociodemographic, clinical, and radiology data were analyzed via chi-squared and Fisher's exact tests with p < 0.05 as the threshold for significance. Stepwise logistic regression was applied to derive a risk prediction model. Results: The proportion of cases reporting emotional IPV (76% vs. 52%) and/or physical IPV (45% vs. 31%) during pregnancy significantly increased from prior to pregnancy. Cases were significantly more likely to report prepregnancy substance use (odds ratio [OR] = 2.60; 95% confidence interval [CI]: 1.13-5.98), sexually transmitted infections (OR = 3.48; 95%CI: 1.64-7.37), abortion (OR = 3.17; 95%CI: 1.79, 5.59), and preterm birth (OR = 5.97; 95%CI: 1.69-21.15). During pregnancy, cases were more likely to report unstable housing (OR = 5.26; 95%CI: 2.67-10.36), multigravidity (OR = 2.83; 95%CI: 1.44-5.58), multiparity (OR = 3.75; 95%CI: 1.72-8.20), anxiety (OR = 3.35; 95%CI: 1.85-6.08), depression (OR = 5.58; 95%CI: 3.07-10.16), substance use (OR = 2.92; 95%CI: 1.28-6.65), urinary tract infection (UTI) (OR = 3.26; 95%CI: 1.14-9.32), intrauterine growth restriction (OR = 10.71; 95%CI: 1.35-85.25), and cesarean delivery (OR = 2.25; 95%CI: 1.26-4.02). Cases had significantly more OBGYN abnormalities on imaging and canceled more radiological studies (OR = 5.31). Logistic regression found housing status, sexually transmitted infection history, preterm delivery history, abortion history, depression, and antepartum UTI predictive of antepartum IPV. The risk prediction model achieved good calibration with an area under the curve of 0.79. Conclusions: This study identifies significant disparities among patients experiencing antepartum IPV, and our proposed risk prediction model can inform risk assessment in this setting.

Impact of prenatal maternal depression on gestational length: post hoc analysis of a randomized clinical trial

Background

Shortened gestation is a leading cause of childhood morbidity and mortality with lifelong consequences for health. There is a need for public health initiatives on increasing gestational age at birth. Prenatal maternal depression is a pervasive health problem robustly linked via correlational and epidemiological studies to shortened gestational length. This proof-of-concept study tests the impact of reducing prenatal maternal depression on gestational length with analysis of a randomized clinical trial (RCT).

Methods

Participants included 226 pregnant individuals enrolled into an RCT and assigned to receive either interpersonal psychotherapy (IPT) or enhanced usual care (EUC). Recruitment began in July 2017 and participants were enrolled August 10, 2017 to September, 8 2021. Depression diagnosis (Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition; DSM 5) and symptoms (Edinburgh Postnatal Depression Scale and Symptom Checklist) were evaluated at baseline and longitudinally throughout gestation to characterize depression trajectories. Gestational dating was collected based on current guidelines via medical records. The primary outcome was gestational age at birth measured dichotomously (≥39 gestational weeks) and the secondary outcome was gestational age at birth measured continuously. Posthoc analyses were performed to test the effect of reducing prenatal maternal depression on gestational length. This trial is registered with ClinicalTrials.gov (NCT03011801).

Findings

Steeper decreases in depression trajectories across gestation predicted later gestational age at birth, specifically an increase in the number of full-term babies born ≥39 gestational weeks (EPDS linear slopes: OR = 1.54, 95% CI 1.10-2.16; and SCL-20 linear slopes: OR = 1.67, 95% CI 1.16-2.42). Causal mediation analyses supported the hypothesis that participants assigned to IPT experienced greater reductions in depression symptom trajectories, which in turn, contributed to longer gestation. Supporting mediation, the natural indirect effect (NIE) showed that reduced depression trajectories resulting from intervention were associated with birth ≥39 gestational weeks (EPDS, OR = 1.65, 95% CI 1.02-2.66; SCL-20, OR = 1.85, 95% CI 1.16-2.97).

Interpretation

We used a RCT design and found that reducing maternal depression across pregnancy was associated with lengthened gestation.

Funding

This research was supported by the NIH (R01 HL155744, R01 MH109662, R21 MH124026, P50 MH096889).

Conceptual framework for preterm birth review in San Francisco

Preterm birth persists as a leading cause of infant mortality and morbidity despite decades of intervention effort. Intervention null effects may reflect failure to account for social determinants of health (SDH) or jointly acting risk factors. In some communities, persistent preterm birth trends and disparities have been consistently associated with SDH such as race/ethnicity, zip code, and housing conditions. Health authorities recommend conceptual frameworks for targeted action on SDH and precision public health approaches for preterm birth prevention. We document San Francisco, California's experience identifying the need, rationale, methods, and pilot work for developing a conceptual framework for preterm birth review (PTBR) in San Francisco. The PTBR conceptual framework is intended to enable essential public health services in San Francisco that prevent a range of preterm birth phenotypes by guiding plans for data collection, hypothesis testing, analytical methods, reports, and intervention strategy. Key elements of the PTBR conceptual framework are described including, 10 domains of SDH, 9 domains at the whole person level, such as lived experience and health behaviors, 8 domains at the within-person level, such as biomarkers and clinical measures, 18 preterm birth phenotypes, and the interconnections between domains. Assumptions for the PTBR conceptual framework were supported by a scoping review of literature on SDH effects on preterm birth, health authority consensus reports, and PTBR pilot data. Researcher and health authority interest in each of the domains warrants the framework to prompt systematic consideration of variables in each proposed domain. PTBR pilot data, illustrated in heatmaps, confirm the feasibility of data collection based on the framework, prevalence of co-occurring risk factors, potential for joint effects on specific preterm birth phenotypes, and opportunity for intervention to block SDH effects on preterm birth. The proposed PTBR conceptual framework has practical implications for specifying (1) population groups at risk, (2) grids or heatmap visualization of risk factors, (3) multi-level analyses, and (4) multi-component intervention design in terms of patterns of co-occurring risk factors. Lessons learned about PTBR data collection logistics, variable choice, and data management will be incorporated into future work to build PTBR infrastructure based on the PTBR conceptual framework.

The Social Context of Pregnancy, Respectful Maternity Care, Biomarkers of Weathering, and Postpartum Mental Health Inequities: A Scoping Review

Background: Mental health disorders are the number one cause of maternal mortality and a significant maternal morbidity. This scoping review sought to understand the associations between social context and experiences during pregnancy and birth, biological indicators of stress and weathering, and perinatal mood and anxiety disorders (PMADs). Methods: A scoping review was performed using PRISMA-ScR guidance and JBI scoping review methodology. The search was conducted in OVID Medline and Embase. Results: This review identified 74 eligible English-language peer-reviewed original research articles. A majority of studies reported significant associations between social context, negative and stressful experiences in the prenatal period, and a higher incidence of diagnosis and symptoms of PMADs. Included studies reported significant associations between postpartum depression and prenatal stressors (n = 17), socioeconomic disadvantage (n = 14), negative birth experiences (n = 9), obstetric violence (n = 3), and mistreatment by maternity care providers (n = 3). Birth-related post-traumatic stress disorder (PTSD) was positively associated with negative birth experiences (n = 11), obstetric violence (n = 1), mistreatment by the maternity care team (n = 1), socioeconomic disadvantage (n = 2), and prenatal stress (n = 1); and inverse association with supportiveness of the maternity care team (n = 5) and presence of a birth companion or doula (n = 4). Postpartum anxiety was significantly associated with negative birth experiences (n = 2) and prenatal stress (n = 3). Findings related to associations between biomarkers of stress and weathering, perinatal exposures, and PMADs (n = 14) had mixed significance. Conclusions: Postpartum mental health outcomes are linked with the prenatal social context and interactions with the maternity care team during pregnancy and birth. Respectful maternity care has the potential to reduce adverse postpartum mental health outcomes, especially for persons affected by systemic oppression.

Factors associated with infant mortality in Nigeria: A scoping review

BACKGROUND

Infant mortality persists as a global public health concern, particularly in lower-middle-income countries (LIMCs) such as Nigeria. The risk of an infant dying before one year of age is estimated to be six times higher in Africa than in Europe. Nigeria recorded an infant mortality rate of 72.2 deaths per 1,000 live births in 2020, in contrast to the global estimate of 27.4 per 1,000 live births. Several studies have been undertaken to determine the factors influencing infant mortality.

OBJECTIVE

This scoping review sought to identify and summarise the breadth of evidence available on factors associated with infant mortality in Nigeria.

METHODS

This review followed the five-stage principles of Arksey and O'Malley's framework. Four electronic databases were searched with no limit to publication date or study type: Ovid MEDLINE, PubMed, CINAHL Complete, and Web of Science. Selected studies were imported into Endnote software and then exported to Rayyan software where duplicates were removed. Included articles were thematically analysed and synthesised using the socioecological model.

RESULTS

A total of 8,139 references were compiled and screened. Forty-eight articles were included in the final review. At the individual level, maternal- and child-related factors were revealed to influence infant mortality; socioeconomic and sociocultural factors at the interpersonal level; provision and utilisation of health services, health workforce, hospital resources and access to health services at the organisational level; housing/neighbourhood and environmental factors at the community level; and lastly, governmental factors were found to affect infant mortality at the public policy level.

CONCLUSION

Factors related to the individual, interpersonal, organisational, community and public policy levels were associated with infant mortality in Nigeria.

Determinants of Adverse Birth Outcomes in Public Hospitals of the Somali Region, Eastern Ethiopia: A Multicenter Unmatched Case-Control Study

Background

Pregnancy outcomes that differ from normal live births are known as adverse pregnancy outcomes. Adverse pregnancy outcomes also have significant effects on the infant's family and society. There is limited data on adverse outcomes in eastern Ethiopia, particularly in the Somali region.

Objectives

This study aimed to assess the determinants of adverse birth outcomes in the Somali Region Hospitals.

Design

A hospital-based unmatched case-control study was conducted to conduct this study.

Methods

A hospital-based unmatched case-control study was conducted between June and July 2021 in pregnant women who attended public hospitals in the Somali region. A total of 327 (109 cases and 218 controls) participants were included in this study. Women who gave birth with at least 1 adverse birth outcome were considered cases, and those who gave birth with normal birth outcomes were considered controls. Cases were recruited consecutively, and controls were selected using systematic sampling methods. Data was gathered using interviews, record reviews, using the pretested standard tools. The data were entered into EpiData version 3.1 and analyzed with SPSS version 22. Multivariable regression analysis with an adjusted odds ratio and a 95% confidence interval was used to identify the factors associated with adverse birth outcomes. Finally, P-values less than .05 were used to identify significantly associated predictors.

Results

In the current study, rural residency [AOR = 2.80; 95%CI:(1.61-4.87)] lack of ANC follow-up [AOR = 3.27; 95%CI: (1.77-6.02)], pregnancy-induced hypertension [AOR = 3.28; 95%CI: (1.74-6.17)] being anemic mothers [AOR = 3.51; 95%CI: (2.02-6.07)] and khat chewing [AOR = 4.54; 95%CI: (2.12-9.70)] were identified as determinants of adverse birth outcome.

Conclusions

In the current study, rural residency, lack of ANC, being anemic in indexed pregnancies, pregnancy-induced hypertension, and khat chewing were determinants of adverse birth outcomes. Therefore, efforts should be made to enhance ANC follow-up, iron and folic acid supplementation, early treatments of pregnancy-induced hypertension, and information on the risk of chewing khat.

Inequities in Availability of Evidence-Based Birth Supports to Improve Perinatal Health for Socially Vulnerable Rural Residents

Rural residents in the United States (US) have disproportionately high rates of maternal and infant mortality. Rural residents who are Black, Indigenous, and People of Color (BIPOC) face multiple social risk factors and have some of the worst maternal and infant health outcomes in the U.S. The purpose of this study was to determine the rural availability of evidence-based supports and services that promote maternal and infant health. We developed and conducted a national survey of a sample of rural hospitals. We determined for each responding hospital the county-level scores on the 2018 CDC Social Vulnerability Index (SVI). The sample's (n = 93) median SVI score [IQR] was 0.55 [0.25-0.88]; for majority-BIPOC counties (n = 29) the median SVI score was 0.93 [0.88-0.98] compared with 0.38 [0.19-0.64] for majority-White counties (n = 64). Among counties where responding hospitals were located, 86.2% located in majority-BIPOC counties ranked in the most socially vulnerable quartile of counties nationally (SVI ≥ 0.75), compared with 14.1% of majority-White counties. In analyses adjusted for geography and hospital size, certified lactation support (aOR 0.36, 95% CI 0.13-0.97), midwifery care (aOR 0.35, 95% CI 0.12-0.99), doula support (aOR 0.30, 95% CI 0.11-0.84), postpartum support groups (aOR 0.25, 95% CI 0.09-0.68), and childbirth education classes (aOR 0.08, 95% CI 0.01-0.69) were significantly less available in the most vulnerable counties compared with less vulnerable counties. Residents in the most socially vulnerable rural counties, many of whom are BIPOC and thus at higher risk for poor birth outcomes, are significantly less likely to have access to evidence-based supports for maternal and infant health.