Leveraging a Longitudinally Linked Dataset to Assess Recurrence of Severe Maternal Morbidity.

OBJECTIVES: Among those with a severe maternal morbidity (SMM) event and a subsequent birth, we examined how the risk of a second SMM event varied by patient characteristics and intrapartum hospital utilization. METHODS: We used a Massachusetts population-based dataset that longitudinally linked in-state births, hospital discharge records, prior and subsequent births, and non-birth-related hospital utilizations for birthing individuals and their children from January 1, 1999, to December 31, 2018, representing 1,460,514 births by 907,530 birthing people. We restricted our study sample to 2,814 people who had their first SMM event associated with a singleton birth and gave birth a second time within the study period. Our outcome measure was recurrence of SMM in the second birth. We calculated the prevalence of SMM at second birth, compared SMM conditions between births, and estimated the adjusted risk ratios and 95% confidence intervals for having an SMM event at second birth among those who had an SMM at the first birth. We also examined overall hospital utilization including inpatient admissions, emergency room visits, and observational stays, and hospital utilization by interpregnancy intervals (IPIs) between the first and second birth. RESULTS: There were 2,814 birthing people with at least one birth after the first SMM singleton birth. Among those, 198 (7.0%) had a subsequent SMM. The percentage of people with a second SMM event varied by age, race/ethnicity, insurance, IPI, and history of hypertension at first case of SMM (all p < .05). Between births, people with a second SMM event had significantly higher proportions of inpatient admissions (60.1% vs. 33.2.0%; p < .001), emergency room visits (71.7% vs. 57.7%; p < .001), and observational stays (35.4% vs. 19.5%; p < .001) compared with those who did not experience a second SMM event. CONCLUSION: Hospital utilization after a birth with SMM might indicate an elevated risk of a second SMM event. Providers should counsel their patients about prevention and warning signs.

Multiple marginalized identities: A qualitative exploration of intersectional perinatal experiences of birthing people of color with substance use disorder in Massachusetts.

INTRODUCTION: Racial and ethnic inequities persist in receipt of prenatal care, mental health services, and addiction treatment for pregnant and postpartum individuals with substance use disorder (SUD). Further qualitative work is needed to understand the intersectionality of racial and ethnic discrimination, stigma related to substance use, and gender bias on perinatal SUD care from the perspectives of affected individuals. METHODS: Peer interviewers conducted semi-structured qualitative interviews with recently pregnant people of color with SUD in Massachusetts to explore the impact of internalized, interpersonal, and structural racism on prenatal, birthing, and postpartum experiences. The study used a thematic analysis to generate the codebook and double coded transcripts, with an overall kappa coefficient of 0.89. Preliminary themes were triangulated with five participants to inform final theme development. RESULTS: The study includes 23 participants of diverse racial/ethnic backgrounds: 39% mixed race/ethnicity (including 9% with Native American ancestry), 30% Hispanic or Latinx, 26% Black/African American, 4% Asian. While participants frequently names racial and ethnic discrimination, both interpersonal and structural, as barriers to care, some participants attributed poor experiences to other marginalized identities and experiences, such as having a SUD. Three unique themes emerged from the participants' experiences: 1) Participants of color faced increased scrutiny and mistrust from clinicians and treatment programs; 2) Greater self-advocacy was required from individuals of color to counteract stereotypes and stigma; 3) Experiences related to SUD history and pregnancy status intersected with racism and gender bias to create distinct forms of discrimination. CONCLUSION: Pregnant and postpartum people of color affected by perinatal SUD faced pervasive mistrust and unequal standards of care from mostly white healthcare staff and treatment spaces, which negatively impacted their treatment access, addiction medication receipt, postpartum pain management, and ability to retain custody of their children. Key clinical interventions and policy changes identified by participants for antiracist action include personalizing anesthetic plans for adequate peripartum pain control, minimizing reproductive injustices in contraceptive counseling, and addressing misuse of toxicology testing to mitigate inequitable Child Protective Services (CPS) involvement and custody loss.

Delivery at an inadequate level of maternal care is associated with severe maternal morbidity.

BACKGROUND: Implementing levels of maternal care is one strategy proposed to reduce maternal morbidity and mortality. The levels of maternal care framework outline individual medical and obstetrical comorbidities, along with hospital resources required for individuals with these different comorbidities to deliver safely. The overall goal is to match individuals to hospitals so that all birthing people get appropriate resources and personnel during delivery to reduce maternal morbidity. OBJECTIVE: This study examined the association between delivery in a hospital with an inappropriate level of maternal care and the risk of experiencing severe maternal morbidity. STUDY DESIGN: The 40 birthing hospitals in Massachusetts were surveyed using the Centers for Disease Control and Prevention's Levels of Care Assessment Tool. We linked individual delivery hospitalizations from the Massachusetts Pregnancy to Early Life Longitudinal Data System to hospital-level data from the Levels of Care Assessment Tool surveys. Level of maternal care guidelines were used to outline 16 high-risk conditions warranting delivery at hospitals with resources beyond those considered basic (level I) obstetrical care. We then used the Levels of Care Assessment Tool assigned levels to determine if delivery occurred at a hospital that had the resources to meet an individual's needs (ie, if a patient received risk-appropriate care). We conducted our analyses in 2 stages. First, multivariable logistic regression models predicted if an individual delivered in a hospital that did not have the resources for their risk condition. The main explanatory variable of interest was if the hospital self-assessed their level of maternal care to be higher than the Levels of Care Assessment Tool assigned level. We then used logistic regression to examine the association between delivery at an inappropriate level hospital and the presence of severe maternal morbidity at delivery. RESULTS: Among 64,441 deliveries in Massachusetts from January 1 to December 31, 2019, 33.2% (21,415/64,441) had 1 or more of the 16 high-risk conditions that require delivery at a center designated as a level I or higher. Of the 21,415 individuals with a high-risk condition, 13% (2793/21,415), equating to 4% (2793/64,441) of the entire sample, delivered at an inappropriate level of maternal care. Birthing individuals with high-risk conditions who delivered at a hospital with an inappropriate level had elevated odds (adjusted odds ratio, 3.34; 95% confidence interval, 2.24-4.96) of experiencing severe maternal morbidity after adjusting for patient comorbidities, demographics, average hospital severe maternal morbidity rate, hospital level of maternal care, and geographic region. CONCLUSION: Birthing people who delivered in a hospital with risk-inappropriate resources were substantially more likely to experience severe maternal morbidity. Delivery in a hospital with a discrepancy in their self-assessment and the Levels of Care Assessment Tool assigned level substantially predicted delivery in a hospital with an inappropriate level of maternal care, suggesting inadequate knowledge of hospitals' resources and capabilities. Our data demonstrate the potential for the levels of maternal care paradigm to decrease severe maternal morbidity while highlighting the need for robust implementation and education to ensure everyone receives risk-appropriate care.

Prior Hospitalization, Severe Maternal Morbidity, and Pregnancy-Associated Deaths in Massachusetts From 2002 to 2019.

OBJECTIVE: To examine demographic and clinical precursors to pregnancy-associated deaths overall and when pregnancy-related deaths are excluded. METHODS: We conducted a retrospective cohort study based on a Massachusetts population-based data system linking data from live birth and fetal death certificates to corresponding delivery hospital discharge records and a birthing individual's nonbirth hospital contacts and associated death records. Exposures included maternal demographics, severe maternal morbidity (without transfusion), hospitalizations in the 3 years before pregnancy, comorbidities during pregnancy, and opioid use. In cases of postpartum deaths, hospitalization between delivery and death was examined. The primary outcome measure was pregnancy-associated death , defined as death during pregnancy or up to 1 year postpartum. RESULTS: There were 1,291,626 deliveries between 2002 and 2019, of which 384 were linked to pregnancy-associated deaths. Pregnancy-associated but not pregnancy-related deaths (per 100,000 deliveries) were highest for birthing people with opioid use before pregnancy (498.3), severe maternal morbidity (387.3), a comorbidity (106.3), or a prior hospitalization (88.9). In multivariable analysis, the adjusted risk ratios associated with severe maternal morbidity (9.37, 95% CI, 6.14-14.31) and opioid use (6.49, 95%, CI, 3.71-11.35) were highest. Individuals with pregnancy-associated deaths were also more likely to have been hospitalized before or during pregnancy (2.30, 95% CI, 1.62-3.26). Among postpartum deaths, more than two-thirds (69.9%) of birthing people had a hospital contact after delivery and before their death. CONCLUSION: Severe maternal morbidity and opioid use disorder were precursors to pregnancy-associated deaths. Individuals with pregnancy-associated but not pregnancy-related deaths experienced a history of hospital contacts during and after pregnancy before death.

Strategies to Promote Maternal Health Equity: The Role of Perinatal Quality Collaboratives.

Perinatal quality improvement is a method to increase obstetric safety and promote health equity. Increasing trends of maternal deaths, life-threatening complications of pregnancy, and persistent racial inequities are unacceptable. This Narrative Review examines the role and strategies of perinatal quality initiatives and collaboratives to deliver safe and equitable maternity care and the evidence of demonstrated success. Key strategies to promote maternal equity through perinatal quality include communicating equity as a priority through leadership, leveraging data and enhancing surveillance, engaging in strategic partnerships, engaging community, educating clinicians, and implementing practice recommendations through collaboration.

Development of a Maternal Equity Safety Bundle to Eliminate Racial Inequities in Massachusetts.

OBJECTIVE: The PNQIN (Perinatal-Neonatal Quality Improvement Network of Massachusetts) sought to adapt the Reduction of Peripartum Racial and Ethnic Disparities Conceptual Framework and Maternal Safety Consensus Bundle by selecting and defining measures to create a bundle to address maternal health inequities in Massachusetts. This study describes the process of developing consensus-based measures to implement the PNQIN Maternal Equity Bundle across Massachusetts hospitals participating in the Alliance for Innovation on Maternal Health Initiative. METHODS: Our team used a mixed-methods approach to create the PNQIN Maternal Equity Bundle through consensus including a literature review, expert interviews, and a modified Delphi process to compile, define, and select measures to drive maternal equity-focused action. Stakeholders were identified by purposive and snowball sampling and included obstetrician-gynecologists, midwives, nurses, epidemiologists, and racial equity scholars. Dedoose 9.0 was used to complete an inductive analysis of interview transcripts. A modified Delphi method was used to reach consensus on recommendations and measures for the PNQIN Maternal Equity Bundle. RESULTS: Twenty-five interviews were completed. Seven themes emerged, including the need for 1) data stratification by race, ethnicity and language; 2) performance of a readiness assessment; 3) culture shift toward equity; 4) inclusion of antiracism and bias training; 5) addressing challenges of nonacademic hospitals; 6) a life-course approach; and 7) selection of timing of implementation. Twenty initial quality measures (structure, process, and outcome) were identified through expert interviews. Group consensus supported 10 measures to be incorporated into the bundle. CONCLUSION: Structure, process, and outcome quality measures were selected and defined for a maternal equity safety bundle that seeks to create an equity-focused infrastructure and equity-specific actions at birthing facilities. Implementation of an equity-focused safety bundle at birthing facilities may close racial gaps in maternal outcomes.

Preconception and perinatal hospitalizations as indicators of risk for severe maternal morbidity in primiparas.

BACKGROUND: Severe maternal morbidity includes unexpected outcomes of labor and delivery that result in significant short- or long-term consequences to a woman's health. A statewide longitudinally linked database was used to examine hospitalization during and before pregnancy for birthing people with severe maternal morbidity at delivery. OBJECTIVE: This study aimed to examine the association between hospital visits during pregnancy and 1 to 5 years before pregnancy and severe maternal morbidity at delivery. STUDY DESIGN: This study was a retrospective, population-based cohort analysis of the Massachusetts Pregnancy to Early Life Longitudinal database between January 1, 2004, and December 31, 2018. Nonbirth hospital visits, including emergency department visits, observational stays, and hospital admissions during pregnancy and 5 years before pregnancy, were identified. The diagnoses for hospitalizations were categorized. We compared medical conditions leading to antecedent, nonbirth hospital visits among primiparous birthing individuals with singleton births with and without severe maternal morbidity, excluding transfusions. RESULTS: Of 235,398 birthing individuals, 2120 had severe maternal morbidity, a rate of 90.1 cases per 10,000 deliveries, and 233,278 did not have severe maternal morbidity. Compared with 4.3% of patients without severe maternal morbidity, 10.4% of patients with severe maternal morbidity were hospitalized during pregnancy. In multivariable analysis, there was a 31% increased risk of hospital admission during the prenatal period, a 60% increased risk of hospital admission in the year before pregnancy, and a 41% increased risk of hospital admission in 2 to 5 years before pregnancy. Compared with 9.8% of non-Hispanic White birthing people, 14.9% of non-Hispanic Black birthing people with severe maternal morbidity experienced a hospital admission during pregnancy. For those with severe maternal morbidity, prenatal hospitalization was most common for those with endocrine (3.6%) or hematologic (3.3%) conditions, with the largest differences between those with and without severe maternal morbidity for musculoskeletal (relative risk, 9.82; 95% confidence interval, 7.06-13.64) and cardiovascular (relative risk, 9.73; 95% confidence interval, 7.26-13.03) conditions. CONCLUSION: This study found a strong association between previous nonbirth hospitalizations and the likelihood of severe maternal morbidity at delivery.

Stressful Life Events, Postpartum Depressive Symptoms, and Partner and Social Support Among Pregnant People with Disabilities.

INTRODUCTION: As an increasing number of people with disabilities become pregnant and give birth, understanding their vulnerabilities for poor mental health and life stress can help to improve their health and well-being. We examined whether people with disabilities are more likely to experience stressful life events 12 months before childbirth, postpartum depressive symptoms (PDS), and lack of postpartum partner and social support, and compared these associations by race/ethnicity. METHODS: Using the Massachusetts Pregnancy Risk Assessment Monitoring System 2016-2020 data (n = 6,483), we used univariate and multivariable logistic regression models to estimate the associations of disability with stressful life events, PDS, and postpartum partner and social support, and calculated risk ratio (RR), adjusted RR, and 95% confidence interval (CI). We also conducted stratified analyses by race/ethnicity. RESULTS: The prevalence of disability was 10.7% overall, and 8.8% among White non-Hispanic people, 14.3% among Black non-Hispanic people, 15.5% among Hispanic people, and 8.3% among Asian non-Hispanic people. Compared with people without disabilities, those with disabilities were more likely to report emotional stress (RR, 1.54; 95% CI, 1.36-1.74), partner-related stress (RR, 2.55; 95% CI, 2.23-2.91), financial stress (RR, 1.55; 95% CI, 1.44-1.68), traumatic stress (RR, 2.27; 95% CI, 1.85-2.79), and PDS (RR, 3.77; 95% CI, 3.13-4.53). People with disabilities were also more likely to lack a partner's emotional support (RR, 2.57; 95% CI, 2.21-2.97), financial support from the newborn's father (RR, 2.89; 95% CI, 2.39-3.51), and social support while feeling tired or frustrated (RR, 2.05; 95% CI, 1.68-2.52). These associations remained statistically significant after adjustment for maternal factors and newborn's birth year. Strong associations of disability with stressful life events (including emotional stress and partner-related stress), PDS, lacking partner's emotional support, and social support existed across racial/ethnic groups. CONCLUSIONS: Pregnant people with disabilities may benefit from additional screening for stressful life events and depression during pregnancy and postpartum. Multidisciplinary efforts that combine mental health screening and treatment, peer support groups, increased health care provider training about caring for people with disabilities during pregnancy, and better access to care for pregnant people with disabilities are needed to improve their health and support their desire to become parents.

Assisted Reproductive Technology or Infertility: What underlies adverse outcomes? Lessons from the Massachusetts Outcome Study of Assisted Reproductive Technology.

Numerous studies have demonstrated that assisted reproductive technology (ART: defined here as including only in vitro fertilization and related technologies) is associated with increased adverse pregnancy, neonatal, and childhood developmental outcomes, even in singletons. The comparison group for many had often been a fertile population that conceived without assistance. The Massachusetts Outcome Study of Assisted Reproductive Technology (MOSART) was initiated to define a subfertile population with which to compare ART outcomes. Over more than 10 years, we have used the MOSART database to study pregnancy abnormalities and delivery complications but also to evaluate ongoing health of women, infants, and children. This article will review studies from MOSART in the context of how they compare with those of other investigations. We will present MOSART studies that identified the influence of ART and subfertility/infertility on adverse pregnancy (pregnancy hypertensive disorder, gestational diabetes, placental abnormality) and delivery (preterm birth, low birthweight) outcomes as well as on maternal and child hospitalizations. We will provide evidence that although subfertility/infertility increases the risk of adverse outcomes, there is additional risk associated with the use of ART. Studies exploring the contribution of placental abnormalities as one factor adding to this increased ART-associated risk will be described.

Trends and inequities in severe maternal morbidity in Massachusetts: A closer look at the last two decades.

It is estimated that 50,000-60,000 pregnant people in the United States (US) experience severe maternal morbidity (SMM). SMM includes life-threatening conditions, such as acute myocardial infarction, acute renal failure, amniotic fluid embolism, disseminated intravascular coagulation, or sepsis. Prior research has identified both rising rates through 2014 and wide racial disparities in SMM. While reducing maternal death and SMM has been a global goal for the past several decades, limited progress has been made in the US in achieving this goal. Our objectives were to examine SMM trends from 1998-2018 to identify factors contributing to the persistent and rising rates of SMM by race/ethnicity and describe the Black non-Hispanic/White non-Hispanic rate ratio for each SMM condition. We used a population-based data system that links delivery records to their corresponding hospital discharge records to identify SMM rates (excluding transfusion) per 10, 000 deliveries and examined the trends by race/ethnicity. We then conducted stratified analyses separately for Black and White birthing people. While the rates of SMM during the same periods steadily increased for all racial/ethnic groups, Black birthing people experienced the greatest absolute increase compared to any other race/ethnic group going from 69.4 in 1998-2000 to 173.7 per 10,000 deliveries in 2016-2018. In addition, we found that Black birthing people had higher rates for every individual condition compared to White birthing people, with rate ratios ranging from a low of 1.11 for heart failure during surgery to a high of 102.4 for sickle cell anemia. Obesity was not significantly associated with SMM among Black birthing people but was associated with SMM among White birthing people [aRR 1.18 (95% CI: 1.02, 1.36)]. An unbiased understanding of how SMM has affected different race/ethnicity groups is key to improving maternal health and preventing SMM and mortality among Black birthing people. SMM needs to be addressed as both a medical and public health challenge.