Housing instability and adverse perinatal outcomes: a systematic review

Neonatal outcomes of pregnant women attending integrated and standard substance use treatment programs in Ontario, Canada

BACKGROUND

Substance use in pregnancy raises concern given its potential teratogenic effects. Given the unique needs of parenting people and the potential impact for developing children, specialized substance use treatment programs are increasingly being implemented for this population. Substance use treatment is associated with more positive neonatal outcomes compared with no treatment, however treatment models vary limiting our understanding of key treatment components/modelsFew studies have explored the influence of treatment model type (i.e., integrated treatments designed for pregnant clients compared with standard treatment models) and no studies have examined the influence of treatment model on neonatal outcomes using Canadian data.

METHOD

We conducted a population-based cohort study of clients who were pregnant when initiating integrated (n = 564) and standard (n = 320) substance use treatment programs in Ontario, Canada.

RESULTS

Neonatal outcomes did not significantly differ by treatment type (integrated or standard), with rates of adverse neonatal outcomes higher than published rates for the general population, despite receipt of adequate levels of prenatal care. While this suggests no significant impact of treatment, it is notable that as a group, clients engaged in integrated treatment presented with more risk factors for adverse neonatal outcomes than those in standard treatment. While we controlled for these risks in our analyses, this may have obscured their influence in relation to treatment type.

CONCLUSION

Findings underscore the need for more nuanced research that considers the influence of client factors in interaction with treatment type. Pregnant clients engaged in any form of substance use treatment are at higher risk of having children who experience adverse neonatal outcomes. This underscores the urgent need for further investment in services and research to support maternal and neonatal health before and during pregnancy, as well as long-term service models that support women and children beyond the perinatal and early childhood periods.

Sociodemographic factor associations with maternal and placental outcomes: A cluster and partial least squares regression analysis

INTRODUCTION

Maternal social disadvantage adversely affects maternal and offspring health, with limited research on placental outcomes. Therefore, we examined maternal sociodemographic factor associations with placental and birth outcomes in general (Lifeways Cross-Generation Cohort) and at-risk (PEARS Study of mothers with overweight or obesity) populations of pregnant women.

METHODS

TwoStep cluster analysis profiled Lifeways mothers (n = 250) based on their age, parity, marital status, household income, private healthcare insurance, homeowner status, and education. Differences in placental and birth outcomes (untrimmed placental weight (PW), birthweight (BW) and BW:PW ratio) between clusters were assessed using one-way ANOVA and chi-square tests. Partial least squares regression analysed individual effects of sociodemographic factors on placental and birth outcomes in Lifeways and PEARS mothers (n = 461).

RESULTS

Clusters were classified as "Married Homeowners" (n = 140, 56 %), "Highest Income" (n = 58, 23.2 %) and "Renters" (n = 52, 20.8 %) in the Lifeways Cohort. Renters were younger, more likely to smoke, have a means-tested medical card and more pro-inflammatory diets compared to other clusters (p < 0.01). Compared to Married Homeowners, renters' offspring had lower BW (-259.26 g, p < 0.01), shorter birth length (-1.31 cm, p < 0.01) and smaller head circumference (-0.59 cm, p = 0.02). PLS regression analyses identified nulliparity as having the greatest negative effect on PW (Lifeways and PEARS) while being a homeowner had the greatest positive effect on PW (Lifeways).

CONCLUSION

Certain combinations of sociodemographic factors (particularly homeownership) were associated with less favourable lifestyle factors, and with birth, but not placental outcomes. When explored individually, parity contributed to the prediction of placental and birth outcomes in both cohorts of pregnant women.

Improving Maternal Health Care Quality and Outcomes: Evaluation of a Pregnancy Medical Home

Current maternal care recommendations in the United States focus on monitoring fetal development, management of pregnancy complications, and screening for behavioral health concerns. Often missing from these recommendations is support for patients experiencing socioeconomic or behavioral health challenges during pregnancy. A Pregnancy Medical Home (PMH) is a multidisciplinary maternal health care team with nurse navigators serving as patient advocates to improve the quality of care a patient receives and health outcomes for both mother and infant. Using bivariate comparisons between PMH patients and reference groups, as well as interviews with project team members and PMH graduates, this evaluation assessed the impact of a PMH at an academic medical university on patient care and birth outcomes. This PMH increased depression screenings during pregnancy and increased referrals to behavioral health care. This evaluation did not find improvements in maternal or infant birth outcomes. Interviews found notable successes and areas for program enhancement.

Using Large Language Models to Annotate Complex Cases of Social Determinants of Health in Longitudinal Clinical Records

Social Determinants of Health (SDoH) are an important part of the exposome and are known to have a large impact on variation in health outcomes. In particular, housing stability is known to be intricately linked to a patient's health status, and pregnant women experiencing housing instability (HI) are known to have worse health outcomes. Most SDoH information is stored in electronic health records (EHRs) as free text (unstructured) clinical notes, which traditionally required natural language processing (NLP) for automatic identification of relevant text or keywords. A patient's housing status can be ambiguous or subjective, and can change from note to note or within the same note, making it difficult to use existing NLP solutions. New developments in NLP allow researchers to prompt LLMs to perform complex, subjective annotation tasks that require reasoning that previously could only be attempted by human annotators. For example, large language models (LLMs) such as GPT (Generative Pre-trained Transformer) enable researchers to analyze complex, unstructured data using simple prompts. We used a secure platform within a large healthcare system to compare the ability of GPT-3.5 and GPT-4 to identify instances of both current and past housing instability, as well as general housing status, from 25,217 notes from 795 pregnant women. Results from these LLMs were compared with results from manual annotation, a named entity recognition (NER) model, and regular expressions (RegEx). We developed a chain-of-thought prompt requiring evidence and justification for each note from the LLMs, to help maximize the chances of finding relevant text related to HI while minimizing hallucinations and false positives. Compared with GPT-3.5 and the NER model, GPT-4 had the highest performance and had a much higher recall (0.924) than human annotators (0.702) in identifying patients experiencing current or past housing instability, although precision was lower (0.850) compared with human annotators (0.971). In most cases, the evidence output by GPT-4 was similar or identical to that of human annotators, and there was no evidence of hallucinations in any of the outputs from GPT-4. Most cases where the annotators and GPT-4 differed were ambiguous or subjective, such as "living in an apartment with too many people". We also looked at GPT-4 performance on de-identified versions of the same notes and found that precision improved slightly (0.936 original, 0.939 de-identified), while recall dropped (0.781 original, 0.704 de-identified). This work demonstrates that, while manual annotation is likely to yield slightly more accurate results overall, LLMs, when compared with manual annotation, provide a scalable, cost-effective solution with the advantage of greater recall. At the same time, further evaluation is needed to address the risk of missed cases and bias in the initial selection of housing-related notes. Additionally, while it was possible to reduce confabulation, signs of unusual justifications remained. Given these factors, together with changes in both LLMs and charting over time, this approach is not yet appropriate for use as a fully-automated process. However, these results demonstrate the potential for using LLMs for computer-assisted annotation with human review, reducing cost and increasing recall. More efficient methods for obtaining structured SDoH data can help accelerate inclusion of exposome variables in biomedical research, and support healthcare systems in identifying patients who could benefit from proactive outreach.

Impact of sex, race, and social determinants of health on neonatal outcomes

Despite the global improvements in neonatal outcomes, mortality and morbidity rates among preterm infants are still unacceptably high. Therefore, it is crucial to thoroughly analyze the factors that affect these outcomes, including sex, race, and social determinants of health. By comprehending the influence of these factors, we can work towards reducing their impact and enhancing the quality of neonatal care. This review will summarize the available evidence on sex differences, racial differences, and social determinants of health related to neonates. This review will discuss sex differences in neonatal outcomes in part I and racial differences with social determinants of health in part II. Research has shown that sex differences begin to manifest in the early part of the pregnancy. Hence, we will explore this topic under two main categories: (1) Antenatal and (2) Postnatal sex differences. We will also discuss long-term outcome differences wherever the evidence is available. Multiple factors determine health outcomes during pregnancy and the newborn period. Apart from the genetic, biological, and sex-based differences that influence fetal and neonatal outcomes, racial and social factors influence the health and well-being of developing humans. Race categorizes humans based on shared physical or social qualities into groups generally considered distinct within a given society. Social determinants of health (SDOH) are the non-medical factors that influence health outcomes. These factors can include a person's living conditions, access to healthy food, education, employment status, income level, and social support. Understanding these factors is essential in developing strategies to improve overall health outcomes in communities.

Homelessness in Pregnancy and Increased Risk of Adverse Outcomes: A Retrospective Cohort Study

Limited data indicates that homelessness during pregnancy is linked to adverse outcomes for both mothers and newborns, but there is an information gap surrounding pregnant individuals struggling with homelessness. In a landscape of increasing healthcare disparities, housing shortages and maternal mortality, information on this vulnerable population is fundamental to the creation of targeted interventions and outreach. The current study investigates homelessness as a risk factor for adverse obstetrical, neonatal, and postpartum outcomes. We reviewed more than 1000 deliveries over 1 year at a large public hospital in New York City, comparing homeless subjects to a group of age-matched, stably housed controls. Multiple outcomes were assessed regarding obstetrical, neonatal, and postpartum outcomes along with social stressors. Homeless pregnant individuals were more likely to experience numerous adverse outcomes, including cesarean delivery and preterm delivery. Their neonates were more likely to undergo an extended stay in the intensive care unit and evaluation by the Administration for Children's Services, suggesting that they may be at an increased risk for family separation. After delivery, patients were less likely to exclusively breastfeed or return for their postpartum visit. Regarding personal history, they were more likely to endorse a history of violence or abuse, use illicit substances, and carry a psychiatric diagnosis. These findings indicate that homelessness is linked to numerous adverse obstetrical, neonatal, and postpartum outcomes that worsen health indices and exacerbate pre-existing disparities. Initiatives must focus on improved outreach and care delivery for homeless pregnant individuals.

Comparison of birth outcomes of mothers covered by Medicaid versus those privately insured when accounting for social determinants of health

OBJECTIVES

To determine the association between maternal health insurance type and birth outcomes [prematurity, small for gestational age (SGA), Term/Appropriate for gestational age NICU admission (Term/AGA-NICU) & composite birth outcomes (CBO)] accounting for social determinants of health.

DESIGN/METHODS

A cross-sectional study of maternal surveys and birth certificate data of singleton live births in NY born to mothers with Medicaid (M) or Private Insurance (PI).

RESULTS

1015 mothers [M = 631, PI = 384) included. Individual birth outcomes did not differ between groups. Adjusting for social, demographic and clinical covariates, M mothers had similar odds of preterm birth, SGA, Term/AGA-NICU admission and CBO compared to PI.

CONCLUSIONS

M mothers were as likely as PI mothers to deliver a preterm, SGA or a Term/AGA-NICU infant after controlling for social determinants of health. Despite more social adversity among enrollees, our study suggests NY Medicaid recipients have similar birth outcomes to privately insured, socially advantaged women.

Association of Antenatal Housing Instability with Perinatal Care Utilization and Outcomes

Background: Social determinants of health are important contributors to maternal and child health outcomes. Limited existing research examines the relationship between housing instability during pregnancy and perinatal care utilization. Our objective was to evaluate whether antenatal housing instability is associated with differences in perinatal care utilization and outcomes. Materials and Methods: Participants who were surveyed during their postpartum hospitalization were considered to have experienced housing instability if they answered affirmatively to at least one of six screening items. The primary outcome was adequacy of prenatal care measured by the Adequacy of Prenatal Care Utilization index. Maternal, neonatal, and postpartum outcomes, including utilization and breastfeeding, were also collected as secondary outcomes. Multivariable logistic regression models were adjusted for sociodemographic and clinical covariates. Results: In this cohort (N = 490), 11.2% (N = 55) experienced housing instability during pregnancy. Participants with unstable housing were more likely to have inadequate prenatal care (17.3% vs. 3.9%; odds ratio [OR] 5.11, 95% confidence interval [CI] 2.15-12.14, p < 0.001), but findings were not significant after adjustment (aOR 1.72, 95% CI 0.55-5.41, p = 0.35). Similarly, postpartum visit attendance was lower for individuals with unstable housing (79.6% vs. 91.2%), but there was no difference in the odds of the postpartum visit attendance after adjustment (OR 0.69, 95% CI 0.29-1.66, p = 0.14). Conclusions: There were no statistically significant association with the maternal, neonatal, and other postpartum secondary outcomes. Housing instability appears to be a risk marker that is related to other social determinants of health. Given the range of housing instability experiences, future research must account for specific types and degrees of housing instability and their potential perinatal consequences.

Improving Reproductive Health Communication Between Providers and Women Affected by Homelessness and Substance Use in San Francisco: Results from a Community-Informed Workshop

OBJECTIVES

Many cisgender women affected by homelessness and substance use desire pregnancy and parenthood. Provider discomfort with patient-centered counseling about reproductive choices and supporting reproductive decisions of these women poses barriers to reproductive healthcare access.

METHODS

We used participatory research methods to develop a half-day workshop for San Francisco-based medical and social service providers to improve reproductive counseling of women experiencing homelessness and/or who use substances. Guided by a stakeholder group comprising cisgender women with lived experience and providers, goals of the workshop included increasing provider empathy, advancing patient-centered reproductive health communication, and eliminating extraneous questions in care settings that perpetuate stigma. We used pre/post surveys to evaluate acceptability and effects of the workshop on participants' attitudes and confidence in providing reproductive health counseling. We repeated surveys one month post-event to investigate lasting effects.

RESULTS

Forty-two San Francisco-based medical and social service providers participated in the workshop. Compared to pre-test, post-test scores indicated reduced biases about: childbearing among unhoused women (p < 0.01), parenting intentions of pregnant women using substances (p = 0.03), and women not using contraception while using substances (p < 0.01). Participants also expressed increased confidence in how and when to discuss reproductive aspirations (p < 0.01) with clients. At one month, 90% of respondents reported the workshop was somewhat or very beneficial to their work, and 65% reported increased awareness of personal biases when working with this patient population.

CONCLUSIONS FOR PRACTICE

A half-day workshop increased provider empathy and improved provider confidence in reproductive health counseling of women affected by homelessness and substance use.

Reassessing Preterm Birth Prevention After the Withdrawal of 17-α Hydroxyprogesterone Caproate

The U.S. Food and Drug Administration has recently withdrawn approval for 17-α hydroxyprogesterone caproate for prevention of recurrent preterm birth, and recent studies have called into question benefits of the pessary in the setting of a short cervix. Obstetric health care professionals are once again left with limited remaining options for preterm birth prevention. This narrative review summarizes the best current evidence on the use of vaginal progesterone, low-dose aspirin, and cerclage for the prevention of preterm birth; attempts to distill possible lessons learned from studies of progesterone and pessary, as well as their implementation into practice; and highlights areas where inroads into preterm birth prevention may be possible outside of the progesterone-aspirin-cerclage paradigm.

Preventing eviction during pregnancy: a cost-effectiveness analysis of a theoretical safety-net program

BACKGROUND

Eviction during pregnancy has been shown to be associated with adverse birth outcomes. A safety net program focused on covering the costs of rent during pregnancy may aid in preventing adverse complications.

OBJECTIVE

This study aimed to evaluate the cost-effectiveness of a program covering the cost of rent to prevent eviction during pregnancy.

STUDY DESIGN

A cost-effectiveness model using TreeAge software was designed to evaluate the cost, effectiveness, and incremental cost-effectiveness ratio associated with eviction compared to no eviction during pregnancy. The cost of eviction from a societal perspective was compared to the annual cost of housing in the no eviction group, which was estimated by the median contract rent in the United States from 2021 national census data. Birth outcomes included preterm birth, neonatal death, and major neurodevelopmental delay. Probabilities and costs were derived from the literature. The cost-effectiveness threshold was set at $100,000/QALY. We performed univariable and multivariable sensitivity analyses to assess the robustness of the results.

RESULTS

In our theoretical cohort of 30,000 pregnant individuals aged 15 to 44 years facing eviction annually, the no eviction during pregnancy strategy was associated with 1427 fewer preterm births, 47 fewer neonatal deaths, and 44 fewer cases of neurodevelopmental delay compared to eviction. At the median cost of rent in the United States, the no eviction strategy was associated with increased quality-adjusted life-years and decreased costs. Therefore, the no eviction strategy was the dominant strategy. In univariate sensitivity analysis varying the cost of housing, no eviction remained the cost-effective strategy and was cost-saving when rent was below $1016 per month.

CONCLUSION

The no eviction strategy is cost-effective and reduces cases of preterm birth, neonatal death, and neurodevelopmental delay. When rent is below the median of $1016 per month, no eviction is the cost-saving strategy. These findings suggest that policies supporting social programmatic implementation for rent coverage for pregnant people at risk of eviction have the potential to be highly beneficial in reducing costs and disparities in perinatal outcomes.

A Web-Based Intervention to Address Risk Factors for Maternal Morbidity and Mortality (MAMA LOVE): Development and Evaluation Study

Background

Maternal mortality in the United States is a public health crisis and national emergency. Missed or delayed recognition of preventable life-threatening symptoms and untimely treatment of preventable high-risk medical conditions have been cited as key contributors to the nation's worsening mortality rates. Effective strategies are urgently needed to address this maternal health crisis, particularly for Black birthing populations. Morbidity and Mortality Assessment: Lifting Outcomes Via Education (MAMA LOVE) is a web-based platform that focuses on the identification of maternal morbidity and mortality risk factors.

Objective

The purpose of this paper is to present the conceptualization, development, heuristics, and utility evaluation of the web-based maternal mortality risk assessment and educational tool MAMA LOVE.

Methods

A user-centered design approach was used to gain feedback from clinical experts and potential end users to ensure that the tool would be effective among groups most at risk for maternal morbidity and mortality. A heuristic evaluation was conducted to evaluate usability and need within the current market. Algorithms describing key clinical, mental health, and social conditions were designed using digital canvas software (Miro) and incorporated into the final wireframes of the revised prototype. The completed version of MAMA LOVE was designed in Figma and built with the SurveyJS platform.

Results

The creation of the MAMA LOVE tool followed three distinct phases: (1) the content development and creation of an initial prototype; (2) the feedback gathering and usability assessment of the prototype; and (3) the design, development, and testing of the final tool. The tool determines the corresponding course of action using the algorithm developed by the authors. A total of 38 issues were found in the heuristic evaluation of the web tool's initial prototype.

Conclusions

Maternal morbidity and mortality is a public health crisis needing immediate effective interventions. In the current market, there are few digital resources available that focus specifically on the identification of dangerous symptoms and risk factors. MAMA LOVE is a tool that can address that need by increasing knowledge and providing resources and information that can be shared with health care professionals.

Trends, Characteristics, and Maternal Morbidity Associated With Unhoused Status in Pregnancy

Importance

Unhoused status is a substantial problem in the US. Pregnancy characteristics and maternal outcomes of individuals experiencing homelessness are currently under active investigation to optimize health outcomes for this population.

Objective

To assess the trends, characteristics, and maternal outcomes associated with unhoused status in pregnancy.

Design, Setting, and Participants

This cross-sectional study analyzed data from the Healthcare Cost and Utilization Project National (Nationwide) Inpatient Sample. The study population included hospitalizations for vaginal and cesarean deliveries from January 1, 2016, to December 31, 2020. Unhoused status of these patients was identified from use of International Statistical Classification of Diseases, Tenth Revision, Clinical Modification code Z59.0. Statistical analysis was conducted from December 2022 to June 2023.

Main Outcomes and Measures

Primary outcomes were (1) temporal trends; (2) patient and pregnancy characteristics associated with unhoused status, which were assessed with a multivariable logistic regression model; (3) delivery outcomes, including severe maternal morbidity (SMM) and mortality at delivery, which used the Centers for Disease Control and Prevention definition for SMM indicators and were assessed with a propensity score-adjusted model; and (4) choice of long-acting reversible contraception method and surgical sterilization at delivery.

Results

A total of 18 076 440 hospital deliveries were included, of which 18 970 involved pregnant patients who were experiencing homelessness at the time of delivery, for a prevalence rate of 104.9 per 100 000 hospital deliveries. These patients had a median (IQR) age of 29 (25-33) years. The prevalence of unhoused patients increased by 72.1% over a 5-year period from 76.1 in 2016 to 131.0 in 2020 per 100 000 deliveries (P for trend < .001). This association remained independent in multivariable analysis. In addition, (1) substance use disorder (tobacco, illicit drugs, and alcohol use disorder), (2) mental health conditions (schizophrenia, bipolar, depressive, and anxiety disorders, including suicidal ideation and past suicide attempt), (3) infectious diseases (hepatitis, gonorrhea, syphilis, herpes, and COVID-19), (4) patient characteristics (Black and Native American race and ethnicity, younger and older age, low or unknown household income, obesity, pregestational hypertension, pregestational diabetes, and asthma), and (5) pregnancy characteristics (prior uterine scar, excess weight gain during pregnancy, and preeclampsia) were associated with unhoused status in pregnancy. Unhoused status was associated with extreme preterm delivery (<28-week gestation: 34.3 vs 10.8 per 1000 deliveries; adjusted odds ratio [AOR], 2.76 [95% CI, 2.55-2.99]); SMM at in-hospital delivery (any morbidity: 53.8 vs 17.7 per 1000 deliveries; AOR, 2.30 [95% CI, 2.15-2.45]); and in-hospital mortality (0.8 vs <0.1 per 1000 deliveries; AOR, 10.17 [95% CI, 6.10-16.94]), including case fatality risk after SMM (1.5% vs 0.3%; AOR, 4.46 [95% CI, 2.67-7.45]). Individual morbidity indicators associated with unhoused status included cardiac arrest (AOR, 12.43; 95% CI, 8.66-17.85), cardiac rhythm conversion (AOR, 6.62; 95% CI, 3.98-11.01), ventilation (AOR, 6.24; 95% CI, 5.03-7.74), and sepsis (AOR, 5.37; 95% CI, 4.53-6.36).

Conclusions and Relevance

Results of this national cross-sectional study suggest that unhoused status in pregnancy gradually increased in the US during the 5-year study period and that pregnant patients with unhoused status were a high-risk pregnancy group.

Health engagement: a systematic review of tools modifiable for use with vulnerable pregnant women

OBJECTIVE

To examine available health engagement tools suitable to, or modifiable for, vulnerable pregnant populations.

DESIGN

Systematic review.

ELIGIBILITY CRITERIA

Original studies of tool development and validation related to health engagement, with abstract available in English, published between 2000 and 2022, sampling people receiving outpatient healthcare including pregnant women.

DATA SOURCES

CINAHL Complete, Medline, EMBASE and PubMed were searched in April 2022.

RISK OF BIAS

Study quality was independently assessed by two reviewers using an adapted COSMIN risk of bias quality appraisal checklist. Tools were also mapped against the Synergistic Health Engagement model, which centres on women's buy-in to maternity care.

INCLUDED STUDIES

Nineteen studies were included from Canada, Germany, Italy, the Netherlands, Sweden, the UK and the USA. Four tools were used with pregnant populations, two tools with vulnerable non-pregnant populations, six tools measured patient-provider relationship, four measured patient activation, and three tools measured both relationship and activation.

RESULTS

Tools that measured engagement in maternity care assessed some of the following constructs: communication or information sharing, woman-centred care, health guidance, shared decision-making, sufficient time, availability, provider attributes, discriminatory or respectful care. None of the maternity engagement tools assessed the key construct of buy-in. While non-maternity health engagement tools measured some elements of buy-in (self-care, feeling hopeful about treatment), other elements (disclosing risks to healthcare providers and acting on health advice), which are significant for vulnerable populations, were rarely measured.

CONCLUSIONS AND IMPLICATIONS

Health engagement is hypothesised as the mechanism by which midwifery-led care reduces the risk of perinatal morbidity for vulnerable women. To test this hypothesis, a new assessment tool is required that addresses all the relevant constructs of the Synergistic Health Engagement model, developed for and psychometrically assessed in the target group.

PROSPERO REGISTRATION NUMBER

CRD42020214102.

Improving Postpartum and Long-Term Health After an Adverse Pregnancy Outcome: Examining Interventions From a Health Equity Perspective

Gestational diabetes mellitus and hypertensive disorders in pregnancy are adverse pregnancy outcomes (APOs) that affect 15% of pregnancies in the United States. These APOs have long-term health implications, with greater risks of future cardiovascular and chronic disease later in life. In this manuscript, we review the importance of timely postpartum follow-up and transition to primary care after APOs for future disease prevention. We also discuss interventions to improve postpartum follow-up and long-term health after an APO. In recognizing racial and ethnic disparities in APOs and chronic disease, we review important considerations of these interventions through a health equity lens.

The perceived impact of homelessness on health during pregnancy and the postpartum period: A qualitative study carried out in the metropolitan area of Nantes, France

The number of homeless people has been constantly increasing in Europe over recent years, as well as the proportion of women among the homeless population. Pregnancy can increase the risk of becoming homeless and, on the other hand, homelessness has been widely connected to adverse perinatal outcomes. The objective of this study was to describe the overall perceived impact of homelessness on health during pregnancy and the postpartum period, using a qualitative research approach to prioritize women's perspective. One-time semi structured interviews were conducted with 10 pregnant women and 10 women in the postpartum period experiencing homelessness in the metropolitan area of Nantes, as well as with six people from their social surroundings. A thematic analysis was performed to identify major themes and sub-themes. Homelessness was perceived as having an overall negative impact on all aspects of health (physical health, mental health, and social well-being) during pregnancy and the postpartum period. Stress and anxiety, food insecurity, social isolation, physical suffering, deterioration of chronic diseases, and pregnancy complications, were the main perceived consequences of homelessness on health. On the other hand, social support, and the "welcomeness" of healthcare professionals during pregnancy and the postpartum period were identified as capable of palliating those consequences. Finally, basic needs, such as having access to suitable housing, being independent, and being in good health, were identified by participants in the study as their main priorities. The results of this study, as well as those found by previous research, allowed us to identify possible axes in tackling homelessness and its complex consequences on health during pregnancy and the postpartum period. Housing and income assistance interventions, promoting social support and employment, outreach services enhancing collaborative networks among healthcare service providers, and integrating coordinated multidisciplinary approaches in primary care have shown to provide promising solutions to this issue.

Association Between Housing Affordability and Severe Maternal Morbidity

IMPORTANCE

The number of people living in unaffordable housing (relative to income) is projected to continue increasing as housing cost inflation outpaces incomes in the US. Although reproductive-aged women have disproportionately high housing costs, particularly around the time of childbirth, data on associations between housing costs and maternal health and the role of publicly supported affordable housing programs in mitigating those associations are lacking.

OBJECTIVE

To estimate associations between area-level rental housing costs and severe maternal morbidity (SMM) and assess the potential mitigating role of publicly supported affordable housing.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study linked New Jersey birth files from January 1, 2008, to December 31, 2018, to maternal hospital discharge records and municipal-level housing and demographic data from the state of New Jersey and the US Census Bureau. Data were analyzed from January to September 2022. The birth files contained records for all births in New Jersey, and the hospital discharge records contained information from all inpatient hospitalizations over the study period. A total of 1 004 000 birth records were matched to maternal discharge records and municipal-level data.

EXPOSURES

Municipal-level rental costs relative to income (housing cost burden), availability of publicly supported affordable housing, and housing subsidy per person with an income lower than the federal poverty level.

MAIN OUTCOMES AND MEASURES

Severe maternal morbidity was identified using diagnosis and procedure codes developed by the US Centers for Disease Control and Prevention to measure SMM.

RESULTS

Of 1 004 000 mothers (mean [SD] age at birth, 29.8 [5.9] years; 44.7% White), 20 022 (2.0%) experienced SMM. Higher municipal rental housing costs were associated with greater odds of SMM (odds ratio [OR], 1.27; 95% CI, 1.01-1.60), particularly among mothers with less than a high school education (OR, 1.81; 95% CI, 1.06-3.10), and the positive associations decreased at higher levels of affordable housing availability. Among mothers with less than a high school education, the risk of SMM was 8.0% lower (risk ratio, 0.92; 95% CI, 0.85-1.00) for each additional $1000 annual municipal-level housing subsidy per person with an income lower than poverty level after controlling for rental costs and other characteristics, which translated to a 20.7% lower educational disparity in SMM.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, living in a municipality with higher rental housing costs was associated with higher odds of SMM, except when there was high availability of publicly supported affordable housing. These results suggest that greater availability of publicly supported affordable housing has the potential to mitigate the association between rental housing costs and SMM and reduce socioeconomic disparities in SMM.

Inclusion of Social and Structural Determinants of Health to Advance Understanding of their Influence on the Biology of Chronic Disease

Social Determinants of Health (SDOH) consider social, political, and economic factors that contribute to health disparities in patients and populations. The most common health-related SDOH exposures are food and housing insecurity, financial instability, transportation needs, low levels of education, and psychosocial stress. These domains describe risks that can impact health outcomes more than health care. Epidemiologic and translational research demonstrates that SDOH factors represent exposures that predict harm and impact the health of individuals. International and national guidelines urge health professionals to address SDOH in clinical practice and public health. The further implementation of these recommendations into basic and translational research, however, is lagging. Herein, we consider a precision health framework to describe how SDOH contributes to the exposome and exacerbates physiologic pathways that lead to chronic disease. SDOH factors are associated with various forms of stressors that impact physiological processes through epigenetic, inflammatory, and redox regulation. Many SDOH exposures may add to or potentiate the pathologic effects of additional environmental exposures. This overview aims to inform basic life science and translational researchers about SDOH exposures that can confound associations between classic biomedical determinants of disease and health outcomes. To advance the study of toxicology through either qualitative or quantitative assessment of exposures to chemical and biological substances, a more complete environmental evaluation should include SDOH exposures. We discuss common approaches to measure SDOH factors at individual and population levels and review the associations between SDOH risk factors and physiologic mechanisms that influence chronic disease. We provide clinical and policy-based motivation to encourage researchers to consider the impact of SDOH exposures on study results and data interpretation. With valid measures of SDOH factors incorporated into study design and analyses, future toxicological research may contribute to an evidence base that can better inform prevention and treatment options, to improve equitable clinical care and population health. © 2022 Wiley Periodicals LLC.