Racial and ethnic disparities in access to community-based perinatal mental health programs: results from a cross-sectional survey.

BACKGROUND: Perinatal mental health is a major public health problem that disproportionately affects people from racial and ethnic minority groups. Community-based perinatal mental health programs, such as peer support groups, are essential tools for the prevention and treatment of perinatal depression. Yet, little is known about racial and ethnic disparities in accessibility and utilization of community-based perinatal mental health programs. METHODS: We conducted a cross-sectional study using an online survey with program administrators representing perinatal mental health community-based services and support programs throughout New Jersey. Descriptive analysis and mapping software was used to analyze the data. RESULTS: Thirty-three program administrators completed the survey. Results showed substantial racial and ethnic disparities in availability and utilization of community-based programs. In the majority of programs, Black, Hispanic, and Asian individuals made up less than 10% of total annual participants and less than 10% of facilitators. There were also geographic disparities in program accessibility and language availability across counties. Program administrators identified mental health stigma, lack of support from family, fear of disclosure of mental health challenges, social determinants, lack of language-concordant options in programs, and limited awareness of programs in the community as significant barriers to participation of racial and ethnic minorities. Strategies to address barriers included adding language options, improving program outreach, and increasing diversity of facilitators. CONCLUSIONS: This study provides new evidence on racial and ethnic disparities in access to community-based perinatal mental health programs. Efforts to build the resources and capacities of community-based programs to identify equity gaps, increase diversity of staff, and address barriers to participation is critical to reducing racial and ethnic inequities in perinatal mental health.

A Qualitative Investigation of the Experiences of Women with Perinatal Depression and Anxiety during the COVID-19 Pandemic.

OBJECTIVES: The COVID-19 pandemic has had significant impacts on maternal mental health. We explored the lived experiences of women with perinatal depression and anxiety to elucidate their perceptions of how the pandemic influenced their mental health and access to care. METHODS: We conducted a qualitative descriptive study using semi-structured interviews. From March to October 2021, purposive sampling was used to recruit a socio-demographically diverse sample of women with self-reported perinatal depression or anxiety who were pregnant or within one year postpartum between March 2020 and October 2021. Interviews were conducted remotely and thematically analyzed. RESULTS: Fourteen women were interviewed. Three major themes arose. Theme 1, Negative impacts of COVID-19 on symptoms of depression and anxiety, described how the pandemic magnified underlying symptoms of depression and anxiety, increased social isolation, generated anxiety due to fears of COVID-19 infection, and caused economic stress. In theme 2, Negative impacts of COVID-19 on access to and quality of health care, women described stressful and isolating delivery experiences, negative psychological impact of partners not being able to participate in their perinatal health care, interruptions and barriers to mental health treatment, and challenges in using telehealth services for mental health care. Theme 3, Positive impacts of COVID-19 on mental health, identified advantages of increased telehealth access and ability to work and study from home. CONCLUSIONS FOR PRACTICE: The COVID-19 pandemic negatively affected women with perinatal depression and anxiety by magnifying underlying symptoms, increasing stress and social isolation, and disrupting access to mental health care. Findings provide support for policies and interventions to prevent and address social isolation, as well as optimization of telehealth services to prevent and address gaps in perinatal mental health treatment.

Impact of reliable light and electricity on job satisfaction among maternity health workers in Uganda: A cluster randomized trial.

BACKGROUND: Maintaining a motivated health workforce is critical to health system effectiveness and quality of care. Scant evidence exists on whether interventions aimed to strengthen health infrastructure in low-resource settings affect health workers. This study evaluated the impact of an intervention providing solar light and electricity to rural maternity facilities in Uganda on health workers' job satisfaction. METHODS: We used a mixed-methods design embedded in a cluster randomized trial to evaluate whether and how the We Care Solar Suitcase intervention, a solar electric system providing lighting and power, affected health workers in rural Ugandan maternity facilities with unreliable light. Facilities were randomly assigned to receive the intervention or not without blinding in a cluster-randomized controlled trial. Outcomes were assessed through two rounds of surveys with health workers. We used regression analyses to examine the intervention's impact on job satisfaction. We used an inductive approach to analyze qualitative data to understand the study context and interpret quantitative findings. RESULTS: We interviewed 85 health workers across 30 facilities, the majority of whom were midwives or nurses. Qualitative reports indicated that unreliable light made it difficult to provide care, worsened facility conditions, and harmed health workers and patients. Before the intervention, only 4% of health workers were satisfied with their access to light and electricity. After the installation, satisfaction with light increased by 76 percentage points [95% confidence interval (CI): 61-92 percentage points], although satisfaction with electricity did not change. Experience of negative impacts of lack of overhead light also significantly decreased and the intervention modestly increased job satisfaction. Qualitative evidence illustrated how the intervention may have strengthened health workers' sense of job security and confidence in providing high-quality care while pointing towards implementation challenges and other barriers health workers faced. CONCLUSIONS: Reliable access to light and electricity directly affects health workers' ability to provide maternal and neonatal care and modestly improves job satisfaction. Policy makers should invest in health infrastructure as part of multifaceted policy strategies to strengthen human resources for health and to improve maternal and newborn health services. Trial registration socialscienceregistry.org: AEARCTR-0003078. Registered June 12, 2018, https://www.socialscienceregistry.org/trials/3078 Additionally registered on: ClinicalTrials.gov: NCT03589625, Registered July 18, 2018, https://clinicaltrials.gov/ct2/show/NCT03589625 ).

Effect of an Intensive Nurse Home Visiting Program on Adverse Birth Outcomes in a Medicaid-Eligible Population: A Randomized Clinical Trial.

Importance: Improving birth outcomes for low-income mothers is a public health priority. Intensive nurse home visiting has been proposed as an intervention to improve these outcomes. Objective: To determine the effect of an intensive nurse home visiting program on a composite outcome of preterm birth, low birth weight, small for gestational age, or perinatal mortality. Design, Setting, and Participants: This was a randomized clinical trial that included 5670 Medicaid-eligible, nulliparous pregnant individuals at less than 28 weeks' gestation, enrolled between April 1, 2016, and March 17, 2020, with follow-up through February 2021. Interventions: Participants were randomized 2:1 to Nurse Family Partnership program (n = 3806) or control (n = 1864). The program is an established model of nurse home visiting; regular visits begin prenatally and continue through 2 postnatal years. Nurses provide education, assessments, and goal-setting related to prenatal health, child health and development, and maternal life course. The control group received usual care services and a list of community resources. Neither staff nor participants were blinded to intervention group. Main Outcomes and Measures: There were 3 primary outcomes. This article reports on a composite of adverse birth outcomes: preterm birth, low birth weight, small for gestational age, or perinatal mortality based on vital records, Medicaid claims, and hospital discharge records through February 2021. The other primary outcomes of interbirth intervals of less than 21 months and major injury or concern for abuse or neglect in the child's first 24 months have not yet completed measurement. There were 54 secondary outcomes; those related to maternal and newborn health that have completed measurement included all elements of the composite plus birth weight, gestational length, large for gestational age, extremely preterm, very low birth weight, overnight neonatal intensive care unit admission, severe maternal morbidity, and cesarean delivery. Results: Among 5670 participants enrolled, 4966 (3319 intervention; 1647 control) were analyzed for the primary maternal and neonatal health outcome (median age, 21 years [1.2% non-Hispanic Asian, Indigenous, or Native Hawaiian and Pacific Islander; 5.7% Hispanic; 55.2% non-Hispanic Black; 34.8% non-Hispanic White; and 3.0% more than 1 race reported [non-Hispanic]). The incidence of the composite adverse birth outcome was 26.9% in the intervention group and 26.1% in the control group (adjusted between-group difference, 0.5% [95% CI, -2.1% to 3.1%]). Outcomes for the intervention group were not significantly better for any of the maternal and newborn health primary or secondary outcomes in the overall sample or in either of the prespecified subgroups. Conclusions and Relevance: In this South Carolina-based trial of Medicaid-eligible pregnant individuals, assignment to participate in an intensive nurse home visiting program did not significantly reduce the incidence of a composite of adverse birth outcomes. Evaluation of the overall effectiveness of this program is incomplete, pending assessment of early childhood and birth spacing outcomes. Trial Registration: ClinicalTrials.gov Identifier: NCT03360539.

Know-do gaps in obstetric and newborn care quality in Uganda: a cross-sectional study in rural health facilities.

OBJECTIVES: Variable and inadequate quality of maternity care is a critical factor in persistently high rates of maternal and neonatal mortality in Uganda. We investigated whether provider quality of care deviates from knowledge and the factors associated with these 'know-do gaps' in Ugandan maternity facilities. METHODS: Data were collected from 109 providers in 40 facilities. Quality was measured using direct observations of intrapartum care, and scores were based on the percentage of essential care actions provided out of a 20-item validated quality index. Knowledge was measured based on the percentage of items that providers reported knowing to do using vignette surveys. The know-do gap was the difference between knowledge and quality. Multivariable models were used to assess the association between provider- and facility-level characteristics and knowledge, quality and know-do gaps. RESULTS: The average quality score was 45%, with quality varying widely within and across providers. The mean knowledge score was 70%, yielding a mean know-do gap of 25%. Know-do gaps were largest for practices related to infection control, vitals monitoring, and prevention of postpartum haemorrhage. The association between quality and knowledge scores was positive but small (P = 0.08), so know-do gaps were largest for providers with the highest knowledge scores. Greater provider training was positively associated with knowledge (P = 0.005) but not with quality (P = 0.60). Having 10 or more years of work experience was associated with higher quality scores (5.3, 95%CI: 0.6 to 10.1), while higher patient volumes were associated with lower quality scores (-2.2, 95%CI: -3.7 to - 0.07). None of the factors of provider motivation, cadre, availability of essential medicines and supplies or facility staffing were associated with quality or know-do gaps. CONCLUSIONS: Our results indicate that, in Uganda, gaps between knowledge and quality do not appear to be explained by factors such as lack of motivation, education, training or supplies. Gaps are particularly large for essential practices related to prevention of postpartum haemorrhage, a leading cause of maternal mortality in Uganda and similar settings.

Cost-effectiveness of a mobile health-supported lifestyle intervention for pregnant women with an elevated body mass index.

OBJECTIVE: To assess the cost-effectiveness of a mobile health-supported lifestyle intervention compared with usual care. METHODS: We conducted a cost-effectiveness analysis from the perspective of the publicly-funded health care system. We estimated costs associated with the intervention and health care utilisation from first antenatal care appointment through delivery. We used bootstrap methods to quantify the uncertainty around cost-effectiveness estimates. Health outcomes assessed in this analysis were gestational weight gain (GWG; kg), incidence of excessive GWG, quality-adjusted life years (QALYs), and incidence of large-for-gestational-age (LGA). Incremental cost-effectiveness ratios (ICERs) were calculated as cost per QALY gained, cost per kg of GWG avoided, cost per case of excessive GWG averted, and cost per case of LGA averted. RESULTS: Total mean cost including intervention and health care utilisation was €3745 in the intervention group and €3471 in the control group (mean difference €274, P = 0.08). The ICER was €2914 per QALY gained. Assuming a ceiling ratio of €45,000, the probability that the intervention was cost-effective based on QALYs was 79%. Cost per kg of GWG avoided was €209. The cost-effectiveness acceptability curve (CEAC) for kg of GWG avoided reached a confidence level of 95% at €905, indicating that if one is willing to pay a maximum of an additional €905 per kg of GWG avoided, there is a 95% probability that the intervention is cost-effective. Costs per case of excessive GWG averted and case of LGA averted were €2117 and €5911, respectively. The CEAC for case of excessive GWG averted and for case of LGA averted reached a confidence level of 95% at €7090 and €25,737, respectively. CONCLUSIONS: Results suggest that a mobile-health lifestyle intervention could be cost-effective; however, a better understanding of the short- and long-term costs of LGA and excessive GWG is necessary to confirm the results.

Mixed binary-continuous copula regression models with application to adverse birth outcomes.

Bivariate copula regression allows for the flexible combination of two arbitrary, continuous marginal distributions with regression effects being placed on potentially all parameters of the resulting bivariate joint response distribution. Motivated by the risk factors for adverse birth outcomes, many of which are dichotomous, we consider mixed binary-continuous responses that extend the bivariate continuous framework to the situation where one response variable is discrete (more precisely, binary) whereas the other response remains continuous. Utilizing the latent continuous representation of binary regression models, we implement a penalized likelihood-based approach for the resulting class of copula regression models and employ it in the context of modeling gestational age and the presence/absence of low birth weight. The analysis demonstrates the advantage of the flexible specification of regression impacts including nonlinear effects of continuous covariates and spatial effects. Our results imply that racial and spatial inequalities in the risk factors for infant mortality are even greater than previously suggested.

Shedding light on quality of care: a study protocol for a randomized trial evaluating the impact of the Solar Suitcase in rural health facilities on maternal and newborn care quality in Uganda.

BACKGROUND: Continued progress in reducing maternal and newborn morbidity and mortality in low-income countries requires a renewed focus on quality of delivery care. Reliable electricity and lighting is a cornerstone of a well-equipped health system, but most primary maternity care facilities in sub-Saharan Africa are either not connected to the electrical grid or suffer frequent blackouts. Lack of reliable electricity and light in maternity facilities may contribute to poor quality of both routine and emergency obstetric and newborn care, by hindering infection control, increasing delays in providing care, and reducing health worker morale. The "Solar Suitcase" is a solar electric system designed specifically for maternity care facilities in low-resource environments. The purpose of this trial is to evaluate the impact of the Solar Suitcase on reliability of light, quality of obstetric and newborn care, and health worker satisfaction. METHODS: We are conducting a study with 30 maternity care facilities in rural Uganda that lack access to a reliable, bright light source. The study is a stepped wedge cluster randomized controlled trial. Study facilities are identified according to predefined eligibility criteria, and randomized by blocking on baseline covariates. The intervention is a "Solar Suitcase", a complete solar electric system that provides essential lighting and power for charging phones and small medical devices. The primary outcomes are the reliability and quality of light during intrapartum care, the process quality of obstetric and newborn care, and health worker satisfaction. Outcomes will be assessed via direct clinical observation by trained enumerators (estimated n = 1980 birth observations), as well as interviews with health workers and facility managers. Lighting and blackouts will be captured through direct observation and via light sensors installed in facilities. DISCUSSION: A key feature of a high quality health system is appropriate infrastructure, including reliable, bright lighting and electricity. Rigorous evidence on the role of a reliable light source in maternal and newborn care is needed to accelerate the "electrification" of maternity facilities across sub-Saharan Africa. This study will be the first to rigorously assess the extent to which reliable light is an important driver of the quality of care experienced by women and newborns. TRIAL REGISTRATION: ClinicalTrials.gov : NCT03589625 (July 18, 2018); socialscienceregistry.org : AEARCTR-0003078 (dated June 16, 2018).

Inference With Difference-in-Differences With a Small Number of Groups: A Review, Simulation Study, and Empirical Application Using SHARE Data.

BACKGROUND: Difference-in-differences (DID) estimation has become increasingly popular as an approach to evaluate the effect of a group-level policy on individual-level outcomes. Several statistical methodologies have been proposed to correct for the within-group correlation of model errors resulting from the clustering of data. Little is known about how well these corrections perform with the often small number of groups observed in health research using longitudinal data. METHODS: First, we review the most commonly used modeling solutions in DID estimation for panel data, including generalized estimating equations (GEE), permutation tests, clustered standard errors (CSE), wild cluster bootstrapping, and aggregation. Second, we compare the empirical coverage rates and power of these methods using a Monte Carlo simulation study in scenarios in which we vary the degree of error correlation, the group size balance, and the proportion of treated groups. Third, we provide an empirical example using the Survey of Health, Ageing, and Retirement in Europe. RESULTS: When the number of groups is small, CSE are systematically biased downwards in scenarios when data are unbalanced or when there is a low proportion of treated groups. This can result in over-rejection of the null even when data are composed of up to 50 groups. Aggregation, permutation tests, bias-adjusted GEE, and wild cluster bootstrap produce coverage rates close to the nominal rate for almost all scenarios, though GEE may suffer from low power. CONCLUSIONS: In DID estimation with a small number of groups, analysis using aggregation, permutation tests, wild cluster bootstrap, or bias-adjusted GEE is recommended.

The context of emergency contraception use among young unmarried women in Accra, Ghana: a qualitative study.

BACKGROUND: Over the past decade, awareness and use of emergency contraceptive pills (ECPs) among young women has rapidly increased in Ghana; however, the rate of unintended pregnancy among this group remains high. We conducted a qualitative study to better understand the context and patterns of ECP use among young unmarried women in Ghana. METHODS: We conducted in-depth interviews with unmarried sexually active women aged 18-24 in Accra, Ghana to explore their perceptions, experiences, and opinions regarding sexual relationships and contraceptive methods, and to examine the factors that influence choice of ECPs. A total of 32 young women participated in the study. RESULTS: Most participants had used ECPs at least once. Participants described being unable to plan for sexual encounters, and as a result preferred ECPs as a convenient post-coital method. Despite being widely and repeatedly used, women feared the disruptive effects of ECPs on the menstrual cycle and were concerned about long-term side-effects. ECPs were sometimes used as a back-up in cases of perceived failure of traditional methods like withdrawal. Misinformation about which drugs were ECPs, correct dosage, and safe usage were prevalent, and sometimes spread by pharmacists. Myths about pregnancy prevention techniques such as urinating or washing after sex were commonly believed, even among women who regularly used ECPs, and coincided with a misunderstanding about how hormonal contraception works. CONCLUSIONS: ECPs appear to be a popular contraceptive choice among young urban women in Ghana, yet misinformation about their correct usage and safety is widespread. While more research on ECP use among young people is needed, these initial results point to the need to incorporate information about ECPs into adolescent comprehensive sexuality education and youth-friendly services and programmes.

Impact of a Text-Messaging Program on Adolescent Reproductive Health: A Cluster-Randomized Trial in Ghana.

OBJECTIVES: To evaluate whether text-messaging programs can improve reproductive health among adolescent girls in low- and middle-income countries. METHODS: We conducted a cluster-randomized controlled trial among 756 female students aged 14 to 24 years in Accra, Ghana, in 2014. We randomized 38 schools to unidirectional intervention (n = 12), interactive intervention (n = 12), and control (n = 14). The unidirectional intervention sent participants text messages with reproductive health information. The interactive intervention engaged adolescents in text-messaging reproductive health quizzes. The primary study outcome was reproductive health knowledge at 3 and 15 months. Additional outcomes included self-reported pregnancy and sexual behavior. Analysis was by intent-to-treat. RESULTS: From baseline to 3 months, the unidirectional intervention increased knowledge by 11 percentage points (95% confidence interval [CI] = 7, 15) and the interactive intervention by 24 percentage points (95% CI = 19, 28), from a control baseline of 26%. Although we found no changes in reproductive health outcomes overall, both unidirectional (odds ratio [OR] = 0.14; 95% CI = 0.03, 0.71) and interactive interventions (OR = 0.15; 95% CI = 0.03, 0.86) lowered odds of self-reported pregnancy for sexually active participants. CONCLUSIONS: Text-messaging programs can lead to large improvements in reproductive health knowledge and have the potential to lower pregnancy risk for sexually active adolescent girls.

Assessing the reach and effectiveness of mHealth: evidence from a reproductive health program for adolescent girls in Ghana.

BACKGROUND: While mobile health (mHealth) programs are increasingly used to provide health information and deliver interventions, little is known regarding the relative reach and effectiveness of these programs across sociodemographic characteristics. We use data from a recent trial of a text-messaging intervention on adolescent sexual and reproductive health (SRH) to assess the degree to which mHealth programs reach target adolescent subpopulations who may be at higher risk of poor SRH outcomes. METHODS: The study was conducted among girls aged 14-24 in 22 secondary schools in Accra, Ghana. The mHealth intervention was an interactive mobile phone quiz in which participants could win phone credit for texting correct answers to SRH questions. We use detailed data on individuals' level of engagement with the program, SRH knowledge scores, and self-reported pregnancy collected as part of the original trial to assess the extent to which engagement and program impact vary across parental education, sexual experience, SRH knowledge deficit, and parental support. RESULTS: Eighty-one percent of participants engaged with the mHealth program, with no evidence that the program disproportionally reached better-off groups. The program was effective at increasing knowledge of SRH across all strata. Higher levels of engagement were associated with higher knowledge scores up to year later. There was no significant impact of the program on self-reported pregnancy within subgroups. CONCLUSION: mHealth programs for adolescents have the potential to engage and increase SRH knowledge of adolescent girls across sociodemographic strata, including those who may be at higher risk of poor SRH outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT02031575 . Registered 07 Jan 2014.

Assessment of Residents' Attitudes and Satisfaction Before and After Implementation of a Smoke-Free Policy in Boston Multiunit Housing.

INTRODUCTION: In 2012, the Boston Housing Authority (BHA) in Massachusetts implemented a smoke-free policy prohibiting smoking within its residences. We sought to characterize BHA resident experiences before and after the smoke-free policy implementation, and compare them to that of nearby residents of the Cambridge Housing Authority, which had no such policy. METHODS: We recruited a convenience sample of nonsmoking residents from the BHA and Cambridge Housing Authority. We measured residents' awareness and support of their local smoking policies before and 9-12 months after the BHA's policy implementation, as well as BHA respondents' attitudes towards the smoke-free policy. We assessed tobacco smoke exposure via saliva cotinine, airborne apartment nicotine, and self-reported number of days smelling smoke in the home. We evaluated predictors of general satisfaction at follow-up using linear regression. RESULTS: At follow-up, 91% of BHA respondents knew that smoking was not allowed in apartments and 82% were supportive of such a policy in their building. BHA residents believed enforcement of the smoke-free policy was low. Fifty-one percent of BHA respondents indicated that other residents "never" or "rarely" followed the new smoke-free rule and 41% of respondents were dissatisfied with policy enforcement. Dissatisfaction with enforcement was the strongest predictor of general housing satisfaction, while objective and self-reported measures of tobacco smoke exposure were not predictive of satisfaction. At follow-up, 24% of BHA participants had complained to someone in charge about policy violations. CONCLUSIONS: Resident support for smoke-free policies is high. However, lack of enforcement of smoke-free policies may cause frustration and resentment among residents, potentially leading to a decrease in housing satisfaction. IMPLICATIONS: Smoke-free housing laws are becoming increasingly prevalent, yet little is known about satisfaction and compliance with such policies post-implementation. We evaluated nonsmoking residents' attitudes about smoke-free rules and their satisfaction with enforcement 1 year after the BHA implemented its comprehensive smoke-free policy. We found that while residents were supportive of the policy, they believed enforcement was low, a perception that was associated with a drop in housing satisfaction. Our findings point to a desire for smoke-free housing among public housing residents, and the importance of establishing systems and guidelines to help landlords monitor and enforce these policies effectively.

Perinatal Depression Associated With Increased Pediatric Emergency Department Use And Charges In The First Year Of Life.

In New Jersey, universal screening for perinatal depression at the time of delivery has resulted in a 95 percent screening rate. The widespread availability of screening data allowed me to investigate the association between perinatal depression severity and infant emergency department (ED) use and charges in the first year of life. I used birth records linked to hospital discharge records for the period 2016-19. Compared with infants who had mothers with no symptoms, infants with mothers with mild or moderate/severe depressive symptoms had significantly higher overall and nonemergent ED use, but not significantly higher emergent ED use. The positive associations between depressive symptoms and ED charges were particularly striking for infants with Medicaid, which pays for a disproportionate share of pediatric ED care in the United States. This study contributes to the evidence base linking perinatal depression screening and pediatric ED use. Opportunities may exist within Medicaid to optimize screening and referrals for perinatal depression, with potential cost-saving benefits for reducing nonemergent pediatric ED visits.

Racial and Socioeconomic Disparities in Preconception Health Risk Factors and Access to Care.

Background: Black birthing people have significantly higher risks of maternal mortality and morbidity compared with White people. Preconception chronic conditions increase the risk of adverse pregnancy outcomes, yet little is known about disparities in preconception health. This study applies an intersectional framework to examine the simultaneous contributions of racial marginalization and economic deprivation in determining disparities in preconception risk factors and access to care. Methods: Using data from the Pregnancy Risk Assessment Monitoring System, 2016-2020 (N = 123,697), we evaluated disparities by race and income in self-reported preconception hypertension, diabetes, obesity, depression, and smoking, as well as preconception insurance coverage and utilization of health care. We estimated linear regression models and calculated predicted probabilities. Results: Black respondents experienced higher probabilities of preconception obesity and high blood pressure at every income level compared with White respondents. Higher income did not attenuate the probability of obesity for Black respondents (linear trend p = 0.21), as it did for White respondents (p < 0.001). Conversely, while White respondents with low income were at higher risk of preconception depression and smoking than their Black counterparts, higher income was strongly associated with reduced risk, with significantly steeper reductions for White compared with Black respondents (difference in trends p < 0.001 for both risk factors). White respondents had higher probabilities of utilizing preconception care across all income levels, despite similar probabilities of insurance coverage. Conclusions: Higher income does not protect against the risk of preconception obesity and other preconception risk factors for Black birthing people as it does for White birthing people. Results point to the need to consider multiple forms of intersecting structural factors in policy and intervention research to improve preconception and maternal health.

Association of Increasing the Minimum Wage in the US With Experiences of Maternal Stressful Life Events.

Importance: Exposure to stressful life events (SLEs) before and during pregnancy is associated with adverse health for pregnant people and their children. Minimum wage policies have the potential to reduce exposure to SLEs among socioeconomically disadvantaged pregnant people. Objective: To examine the association of increasing the minimum wage with experience of maternal SLEs. Design, Setting, and Participants: This repeated cross-sectional study included 199 308 individuals who gave birth between January 1, 2004, and December 31, 2015, in 39 states that participated in at least 2 years of the Pregnancy Risk Assessment Monitoring Survey between 2004 and 2015. Statistical analysis was performed from September 1, 2022, to January 6, 2023. Exposure: The mean minimum wage in the 2 years prior to the month and year of delivery in an individual's state of residence. Main Outcomes and Measures: The main outcomes were number of financial, partner-related, traumatic, and total SLEs in the 12 months before delivery. Individual-level covariates included age, race and ethnicity, marital status, parity, educational level, and birth month. State-level covariates included unemployment, gross state product, uninsurance, poverty, state income supports, political affiliation of governor, and Medicaid eligibility levels. A 2-way fixed-effects analysis was conducted, adjusting for individual and state-level covariates and state-specific time trends. Results: Of the 199 308 women (mean [SD] age at delivery, 25.7 [6.1] years) in the study, 1.4% were American Indian or Alaska Native, 2.5% were Asian or Pacific Islander, 27.2% were Hispanic, 17.6% were non-Hispanic Black, and 48.8% were non-Hispanic White. A $1 increase in the minimum wage was associated with a reduction in total SLEs (-0.060; 95% CI, -0.095 to -0.024), financial SLEs (-0.032; 95% CI, -0.056 to -0.007), and partner-related SLEs (-0.019; 95% CI, -0.036 to -0.003). When stratifying by race and ethnicity, minimum wage increases were associated with larger reductions in total SLEs for Hispanic women (-0.125; 95% CI, -0.242 to -0.009). Conclusions and Relevance: In this repeated cross-sectional study of women with a high school education or less across 39 states, an increase in the state-level minimum wage was associated with reductions in experiences of maternal SLEs. Findings support the potential of increasing the minimum wage as a policy for improving maternal well-being among socioeconomically disadvantaged pregnant people. These findings have relevance for current policy debates regarding the minimum wage as a tool for improving population health.

Maternal depression and economic well-being: A quasi-experimental approach.

Maternal depression is associated with adverse impacts on the health of women and their children. However, further evidence is needed on the extent to which maternal depression influences women's economic well-being and how unmeasured confounders affect estimates of this relationship. In this study, we aimed to measure the association between maternal depression and economic outcomes (income, employment, and material hardship) over a 15-year time horizon. We conducted longitudinal analyses using the Fragile Families and Child Wellbeing Study, an urban birth cohort study in the United States. We assessed the potential contribution of time-invariant unmeasured confounders using a quasi-experimental approach and also investigated the role of persistent versus transient depressive symptoms on economic outcomes up to 15 years after childbirth. In models that adjusted for time-invariant unmeasured confounders, maternal depression was associated with not being employed (an adjusted risk difference of 3 percentage points (95% CI 0.01 to 0.05)) and experiencing any material hardship (an adjusted risk difference of 14 percentage points (95% CI 0.12 to 0.16)), as well as with reductions in the ratio of household income to poverty by 0.10 units (95% CI -0.16 to -0.04) and annual household income by $2114 (95% CI -$3379 to -$850). Impacts at year 15 were strongest for those who experienced persistent depression. Results of our study strengthen the case for viewing mental health support services as interventions that may also foster economic well-being, and highlight the importance of including economic impacts in assessments of the cost-effectiveness of mental health interventions.

Depression in the Postpartum Year and Life Course Economic Trajectories.

INTRODUCTION: Perinatal depression affects 13% of childbearing individuals in the U.S. and has been linked to an increased risk of household economic insecurity in the short term. This study aims to assess the relationship between perinatal depression and long-term economic outcomes. METHODS: This was a longitudinal analysis of a cohort of mothers from the Fragile Families and Child Wellbeing Study starting at delivery in 1998-2000 and followed until 2014-2017. Analysis was conducted in 2021. Maternal depression was assessed using the Composite International Diagnostic Interview-Short Form 1 year after childbirth, and the outcomes included measures of material hardship, household poverty, and employment. Associations between maternal depression and outcomes were analyzed using logistic regression and group-based trajectory modeling. RESULTS: In total, 12.2% of the sample met the criteria for a major depressive episode 1 year after delivery. Maternal depression had a strong and sustained positive association with material hardship and not working for pay in Years 3, 5, 9, and 15 after delivery. Maternal depression also had a significant positive association with household poverty across Years 3-9 and with unemployment in Year 3. Trajectory modeling established that maternal depression was associated with an increased probability of being in a persistently high-risk trajectory for material hardship, a high-risk trajectory for household poverty, and a high-declining risk trajectory for unemployment. CONCLUSIONS: Supporting perinatal mental health is crucial for strengthening the economic well-being of childbearing individuals and reducing the impact of maternal depression on intergenerational transmission of adversity.

A national survey on adaptations by perinatal psychiatry access programs to promote perinatal mental healthcare equity.

OBJECTIVE: Perinatal Psychiatry Access Programs ("Access Programs") are system-level interventions that aim to build the capacity of perinatal healthcare professionals to address mental health, and thereby improve access to perinatal mental healthcare. Access Programs are widely implemented and positioned to promote health equity in perinatal mental healthcare, but little is known about the adaptations being made to the model in response to calls to promote health equity. METHODS: One respondent from each of the 14 Access Programs (n = 14) completed an online survey that queried on adaptations made to promote perinatal mental healthcare equity. RESULTS: Twelve of the 14 Access Program team members (86%) indicated implementation of at least one new equity initiative. The average number of initiatives that a single Access Program implemented was 3.5 (range 0-10). Two Access Programs (14%) implemented 8.5 initiatives (range: 7-10), indicating that a small cohort is leading promotion of equity among Access Programs. CONCLUSION: Efforts to further expand the capacity and services of Access Programs to address perinatal mental healthcare inequities are needed. These adaptations may provide a robust opportunity for implementation initiatives to promote health equity through a system-level intervention.

The Relationship Between Social Determinants of Health and Racial Disparities in COVID-19 Mortality.

BACKGROUND: The COVID-19 pandemic has magnified existing health disparities for marginalized populations in the United States (U.S.), particularly among Black Americans. Social determinants of health are powerful drivers of health outcomes that could influence COVID-19 racial disparities. METHODS: We collected data from publicly available databases on COVID-19 death rates through October 28, 2020, clinical covariates, and social determinants of health indicators at the U.S. county level. We utilized negative binomial regression to assess the association between social determinants of health and COVID-19 mortality focusing on racial disparities in mortality. RESULTS: Counties with higher death rates had a higher proportion of Black residents and greater levels of adverse social determinants of health. A one percentage point increase in percent Black residents, percent uninsured adults, percent low birthweight, percent adults without high school diploma, incarceration rate, and percent households without internet in a county increased COVID-19 death rates by 0.9% (95% CI 0.5%-1.3%), 1.9% (95% CI 1.1%-2.7%), 7.6% (95% CI 4.4%-11.0%), 3.5% (95% CI 2.5%-4.5%), 5.4% (95% CI 1.3%-9.7%), and 3.4% (95% CI 2.5%-4.2%), respectively. Counties in the lowest quintile of a measure of economic privilege had an increased COVID-19 death rates of 67.5% (95% CI 35.9%-106.6%). Multivariate regression and subgroup analyses suggested that adverse social determinants of health may partially explain racial disparities in COVID-19 mortality. CONCLUSIONS: This study demonstrates that social determinants of health contribute to COVID-19 mortality for Black Americans at the county level, highlighting the need for public health policies that address racial disparities in health outcomes.