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OBJECTIVE: This study documents 2000 to 2017 trends in stillbirth rates and changes in associations between known maternal and fetal risk factors and stillbirths for 2000 to 2002 versus 2015 to 2017 in the United States. STUDY DESIGN: We conducted a retrospective, population-based analysis of stillbirths and live-births using national vital statistics data. We calculated annual stillbirth rates overall and by gestational age; and examined stillbirth rates by maternal age, race-ethnicity, and state for 2000 to 2002 versus 2015 to 2017. We used Chi-squared tests to examine associations between maternal and fetal risk factors separately for early (20-27 weeks) and late (28+ weeks) stillbirths compared with live-births for 2000 to 2002 versus 2015 to 2017. RESULTS: Stillbirth rates declined by 7.5% (p < 0.001) during 2000 to 2006 but remained flat at approximately 6 stillbirths per 1,000 births thereafter. Throughout 2000 to 2017, there were significant improvements in stillbirth rates at 39+ weeks nationally (p < 0.001), but rates varied greatly between and within states. Sociodemographic (advanced maternal age, Black race, low education, unmarried status, and rural residence), obstetric, and other medical factors (>3 births, use of infertility treatment, maternal obesity, diabetes, chronic hypertension, eclampsia, no prenatal care, and tobacco use) were significantly more prevalent in women with late than early stillbirths or live births. Notably, late and total stillbirth rates were approximately 30% higher for women >35 years than for women <35 years and twice as high for non-Hispanic Black than non-Hispanic White women; American Indian/Alaska Native women represented the only racial-ethnic group with significantly higher late stillbirth rates in 2015 to 2017 than in 2000 to 2002. Pregnancy and fetal factors (multiple pregnancy, male fetus, and breech presentation) were more prevalent in women with early than late stillbirths or live births. CONCLUSION: U.S. stillbirth rates have plateaued since 2006. There are persistent differential risk profiles for early versus late stillbirths which can inform stillbirth prevention strategies (e.g., close observation of women with risk factors for stillbirth) and new research into the causes of stillbirths by gestational age. KEY POINTS: · U.S. stillbirth rates have plateaued since 2006.. · Stillbirth rates vary between and within U.S. states and by maternal and fetal factors.. · Early versus late stillbirths have different risk profiles which can guide stillbirth prevention strategies..
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BACKGROUND: Perinatal mental health conditions and substance use are leading causes, often co-occurring, of pregnancy-related and pregnancy-associated deaths in the United States. This study compares odds of hospitalization with a mental health condition or substance use disorder or both during the first year postpartum between patients with and without severe maternal morbidity (SMM) during delivery hospitalization. Methods: Data are from the Maryland's State Inpatient Database and include patients with a delivery hospitalization during 2016-2018 (n = 197,749). We compare rate of hospitalization with a mental health condition or substance use disorder or both at 42 days and 42 days to 1 year postpartum by occurrence of SMM during the delivery hospitalization. We use multivariable logistic regression to derive the odds of hospitalization with each outcome for patients by SMM status, adjusted for patient sociodemographic characteristics, presence of mental health condition or substance use disorder diagnoses during the delivery hospitalization, and delivery outcome. SMM, mental health conditions, and substance use disorders are identified using ICD-10 diagnosis and procedure codes. RESULTS: Overall, 5,793 patients (2.9%) who delivered during 2016-2018 experienced hospitalization in the year following delivery. Among these patients, 24.3% (n = 1,410) had a mental health condition diagnosis, 10.6% (n = 619) had a substance use disorder diagnosis, and 9.8% (n = 570) had co-occurring mental health condition and substance use disorder diagnoses. Patients with SMM had 3.7 times the odds (95% CI 2.7, 5.2) of hospitalization with a mental health condition diagnosis, 2.7 times the odds (95% CI 1.6, 4.4) of a hospitalization with substance use disorder diagnosis, and 3.0 times the odds (95% CI 1.8, 4.8) of hospitalization with co-occurring mental health condition and substance use disorder diagnoses during the first-year postpartum adjusting for covariates. CONCLUSION: Patients who experience SMM during their delivery hospitalization had higher odds of hospitalization with a mental health condition, substance use disorder, and co-occurring mental health condition and substance use disorder in the one-year postpartum period. Treatment and support resources for mental health and substance use providers --including enhanced screening and warm handoffs -- should be made available to patients with SMM upon discharge after delivery, and evidence-based interventions to improve mental health and reduce substance use should be prioritized in these patients.
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Objective: To describe two main pillars of the Maryland Maternal Health Innovation Program (MDMOM): (1) centering equity and (2) fostering broad stakeholder collaboration and trust. Methods: We summarized MDMOM's key activities and used severe maternal morbidity (SMM) surveillance and program monitoring data to quantify MDMOM's work on the two pillars. We developed measures of hospital engagement with MDMOM (participation in quality improvement [QI] activities, participation in check-in meetings, staff involvement) and with other partners (participation in QI activities, representation in state-level groups). We examined Bonferroni-adjusted correlations between these hospital engagement measures and with key hospital characteristics: level of maternity care, annual delivery volume, and SMM rate. Results: Over 100 national and state organizations and individual stakeholders contributed to our building the MDMOM program and implementing key activities centering equity: hospital-based SMM surveillance in 20 of Maryland's 32 hospitals; almost 5,000 trainings offered to perinatal health care providers; two telemedicine/telehealth interventions; training of home visitors and community-based organization staff. Birthing hospitals represent MDMOM's main implementation partners. The strength of their participation in MDMOM QI activities is positively correlated to their participation in check-in meetings and with the degree of involvement by physicians in such activities. Higher engagement in MDMOM QI activities is also positively correlated to hospitals' participation in other state-level maternal health initiatives or groups. Conclusion: Our experience with the MDMOM program demonstrates that an equity focus and broad stakeholder collaboration building strong relationships and providing implementation support can lead to high levels of engagement in innovative maternal health interventions.
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Background: The increasing prevalence of preexisting health conditions among pregnant people is often attributed to the concurrent rise in maternal age. However, the link between advanced maternal age (AMA) and increases in chronic conditions among the birthing population has not been systematically documented at the population level. Materials and Methods: This retrospective population-based cohort study was based on linked hospitalization discharge and birth certificate data for live birth deliveries in California from 1991 to 2012. Decomposition techniques evaluated whether changes in the prevalence of selected preexisting health conditions during delivery (autoimmune conditions, chronic hypertension, cardiac disease, diabetes, and renal disease) were explained by population-level increases in maternal age. Analyses further adjusted for maternal education, plurality, insurance status, and availability of paternal information on the birth certificate. Results: Between 1991 and 2012, there were more than 11.5 million live birth deliveries in California. AMA (≥35 years) increased nearly 70% over this period. The prevalence of autoimmune conditions, chronic hypertension, diabetes, and renal disease rose among the birthing population, while cardiac disease declined. The prevalence of all conditions was higher for AMA, but changes in maternal age accounted for only 5.3%, 8.4%, 13.9%, and 0.4%, of the increase in autoimmune conditions, chronic hypertension, diabetes, and renal disease, respectively. Conclusion: While AMA was associated with higher rates of preexisting health conditions, it contributed little to the increase in autoimmune conditions, chronic hypertension, and diabetes and nothing to the rise in renal disease during childbirth.
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Fertilidade , Idade Materna , Humanos , Feminino , Adulto , Comorbidade , Prevalência , Hipertensão/epidemiologia , Diabetes Mellitus/epidemiologia , Cardiopatias/epidemiologia , Pessoa de Meia-Idade , Estudos Retrospectivos , Doenças Autoimunes/epidemiologia , Nefropatias/epidemiologiaRESUMO
OBJECTIVE: To evaluate a commonly proposed explanation for increasing rates of severe maternal morbidity (SMM) in the United States: shifts in the birthing population to older maternal ages, a known risk factor for SMM. METHODS: We conducted a cross-sectional analysis comparing delivery hospitalizations from two time points (2008-2009 to 2017-2018) using hospital discharge data from the National Inpatient Sample. We used demographic decomposition techniques to evaluate whether increasing rates of SMM and nontransfusion SMM were explained by population-level increases in maternal age or changes in age-specific rates. Analyses were stratified by race and ethnicity. RESULTS: Rates of SMM and nontransfusion SMM significantly increased in the United States between 2008 and 2018 from 135.6 to 170.5 and 58.8 to 67.9 per 10,000 delivery hospitalizations, respectively, with increases observed for nearly all racial and ethnic groups. Over this same period, the proportion of births to people younger than age 25 years decreased and births to people of advanced maternal age (35 years and older) increased, with the largest increases occurring among people identified as non-Hispanic American Indian/Alaskan Native (9.8-13.0%), non-Hispanic Black (10.7-14.4%), and Hispanic (12.1-17.1%). Decomposition analyses indicated that the changing maternal age distribution had little effect on SMM trends. Rather, increases in SMM and nontransfusion SMM were primarily driven by increases in age-specific SMM rates, including rising rates among younger people. Contributions of maternal age shifts were minimal for all racial and ethnic groups except among non-Hispanic Black people, for which 17-34% of the rise in SMM was due to increasing maternal age. CONCLUSION: Except among certain racial groups, increases in U.S. population-level SMM rates over the past decade were due to increases in age-specific rates rather than shifts to older maternal age among the birthing population. Increasing SMM rates across the maternal age spectrum could indicate worsening prepregnancy health status of the birthing population.
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Idade Materna , Morbidade , Adulto , Feminino , Humanos , Gravidez , Estudos Transversais , Etnicidade , Hispânico ou Latino/estatística & dados numéricos , Parto , Estados Unidos/epidemiologia , Morbidade/tendências , Indígena Americano ou Nativo do Alasca/estatística & dados numéricos , Negro ou Afro-Americano/estatística & dados numéricosRESUMO
INTRODUCTION: Fertility among women at advanced maternal age (AMA) is increasing at a rapid rate in the United States. Although much is known about the impact of older maternal age on the risk for proximate adverse pregnancy outcomes, it is unclear whether older maternal age affects subsequent health. The objective of this study was to evaluate whether AMA is associated with cardiovascular disease (CVD) later in life, adjusting for important social and health factors related to maternal age. METHODS: Data were obtained from the Nurses' Health Study II, a longitudinal prospective cohort study. We investigated whether women with an AMA first or subsequent birth were at higher risk for developing CVD (myocardial infarction or stroke) after age 42 than women without births at AMA. Cox proportional hazard models were estimated to evaluate this association, adjusting for demographic, fertility, and health characteristics. RESULTS: A total of 5,471 women (7.7%) in the sample had a first birth at an AMA and 1,282 (1.8%) developed CVD at age 42 or older. Women with first births at AMA had a 26% lower unadjusted hazard of CVD than women not at an AMA during their first birth (hazard ratio, 0.74; 95% confidence interval, 0.57-0.95). This association was attenuated (hazard ratio, 0.80; 95% confidence interval, 0.62-1.05) and no longer significant after adjustment for covariates; the modest association remained significant for women with any AMA birth. CONCLUSIONS: We found no evidence that AMA births were associated with increased risk for developing CVD later in life in this sample.
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Doenças Cardiovasculares , Adulto , Doenças Cardiovasculares/epidemiologia , Feminino , Humanos , Idade Materna , Gravidez , Resultado da Gravidez , Modelos de Riscos Proporcionais , Estudos Prospectivos , Estados Unidos/epidemiologiaRESUMO
CONTEXT: Wide variation in state and county health spending prior to 2020 enables tests of whether historically better state and locally funded counties achieved faster control over COVID-19 in the first 6 months of the pandemic in the Unites States prior to federal supplemental funding. OBJECTIVE: We used time-to-event and generalized linear models to examine the association between pre-pandemic state-level public health spending, county-level non-hospital health spending, and effective COVID-19 control at the county level. We include 2,775 counties that reported 10 or more COVID-19 cases between January 22, 2020, and July 19, 2020, in the analysis. MAIN OUTCOME MEASURE: Control of COVID-19 was defined by: (i) elapsed time in days between the 10th case and the day of peak incidence of a county's local epidemic, among counties that bent their case curves, and (ii) doubling time of case counts within the first 30 days of a county's local epidemic for all counties that reported 10 or more cases. RESULTS: Only 26% of eligible counties had bent their case curve in the first 6 months of the pandemic. Government health spending at the county level was not associated with better COVID-19 control in terms of either a shorter time to peak in survival analyses, or doubling time in generalized linear models. State-level public spending on hazard preparation and response was associated with a shorter time to peak among counties that were able to bend their case incidence curves. CONCLUSIONS: Increasing resource availability for public health in local jurisdictions without thoughtful attention to bolstering the foundational capabilities inside health departments is unlikely to be sufficient to prepare the country for future outbreaks or other public health emergencies.
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Importance: In the US, more than 50â¯000 women experience severe maternal morbidity (SMM) each year, and the SMM rate more than doubled during the past 25 years. In response, professional organizations called for birthing facilities to routinely identify and review SMM events and identify prevention opportunities. Objective: To examine SMM levels, primary causes, and factors associated with the preventability of SMM using Maryland's SMM surveillance and review program. Design, Setting, and Participants: This cross-sectional study included pregnant and postpartum patients at 42 days or less after delivery who were hospitalized at 1 of 6 birthing hospitals in Maryland between August 1, 2020, and November 30, 2021. Hospital-based SMM surveillance was conducted through a detailed review of medical records. Exposures: Hospitalization during pregnancy or within 42 days post partum. Main Outcomes and Measures: The main outcomes were admission to an intensive care unit, having at least 4 U of red blood cells transfused, and/or having COVID-19 infection requiring inpatient hospital care. Results: A total of 192 SMM events were identified and reviewed. Patients with SMM had a mean [SD] age of 31 [6.49] years; 9 [4.7%] were Asian, 27 [14.1%] were Hispanic, 83 [43.2%] were non-Hispanic Black, and 68 [35.4%] were non-Hispanic White. Obstetric hemorrhage was the leading primary cause of SMM (83 [43.2%]), followed by COVID-19 infection (57 [29.7%]) and hypertensive disorders of pregnancy (17 [8.9%]). The SMM rate was highest among Hispanic patients (154.9 per 10â¯000 deliveries), primarily driven by COVID-19 infection. The rate of SMM among non-Hispanic Black patients was nearly 50% higher than for non-Hispanic White patients (119.9 vs 65.7 per 10â¯000 deliveries). The SMM outcome assessed could have been prevented in 61 events (31.8%). Clinician-level factors and interventions in the antepartum period were most frequently cited as potentially altering the SMM outcome. Practices that were performed well most often pertained to hospitals' readiness and adequate response to managing pregnancy complications. Recommendations for care improvement focused mainly on timely recognition and rapid response to such. Conclusions and Relevance: The findings of this cross-sectional study, which used hospital-based SMM surveillance and review beyond the mere exploration of administrative data, offers opportunities for identifying valuable quality improvement strategies to reduce SMM. Immediate strategies to reduce SMM in Maryland should target its most common causes and address factors associated with preventability identified at individual hospitals.
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COVID-19 , Gravidez , Humanos , Feminino , Criança , Maryland/epidemiologia , COVID-19/epidemiologia , Estudos Transversais , População Negra , EtnicidadeRESUMO
BACKGROUND: Advanced maternal age (AMA) has been linked to both higher risk of adverse birth outcomes and higher levels of comorbidities. It is unclear if adverse outcomes are higher for older healthy women. This study examined the association between AMA and adverse birth outcomes among women with and without preexisting and pregnancy-related health conditions. METHODS: Analysis of data for 14,933 singleton births between 2004 and 2015 from the population-based Maryland Pregnancy Risk Assessment Monitoring System was conducted, comparing women aged 20-34 years and 35 years and older. Multivariable logistic regression estimated the difference in odds of preterm birth (PTB) and low birthweight (LBW) by age group among women with and without health conditions. The analysis of women without health conditions was stratified by parity. RESULTS: Among women without health conditions, AMA was associated with higher odds of PTB regardless of birthweight, LBW regardless of term, LBW term births, and LBW PTBs; stratified analysis showed higher risk of these outcomes among both older primiparas and multiparas. Compared with younger women with hypertensive disorders, older women with similar health conditions had higher odds of PTB regardless of birthweight. Older women with asthma had higher odds of LBW term births. CONCLUSIONS: AMA is associated with adverse birth outcomes among women with and without health conditions compared with younger women with similar health status. Improved screening and management of health conditions during pregnancy is needed for older women, regardless of parity.
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Nascimento Prematuro , Adulto , Idoso , Feminino , Humanos , Recém-Nascido de Baixo Peso , Recém-Nascido , Maryland/epidemiologia , Idade Materna , Paridade , Gravidez , Resultado da Gravidez/epidemiologia , Nascimento Prematuro/epidemiologia , Adulto JovemRESUMO
For over 150 years the local health departments of England have been critical in controlling 19th and 20th century infectious epidemics. However, recent administrative changes have hollowed out their flexibility to serve communities. We use administrative data on past budgetary allocations per capita to public health departments at upper tier local areas (UTLAs) of England to examine whether public health funding levels were correlated with more rapid control of the first wave of the COVID-19 pandemic between March and July of 2020. The dependent variable was the number of days between a UTLA's 10th case of COVID-19 and the day when new cases per 100,000 peaked and began to decline. Our models controlled for regional socio-economic factors. We found no correlation between local public health expenditure and the speed of control of COVID-19. However, overall public expenditure allocated to improve local areas helped reduce time to reach peak. Contrary to expectation, more dense areas such as London experienced shorter duration. Higher income areas had more rapid success in accelerating the time of the first peak in the first wave of their local COVID-19 incidence. We contribute to understanding the impact of how public expenditure and socio-economic factors affect an epidemic.