National estimates suggest that COVID-19 vaccination coverage among pregnant persons is lower among those identifying as Hispanic or Latino (Hispanic) and non-Hispanic Black or African American. When examining COVID-19 vaccination coverage during pregnancy by race and ethnicity, however, data are typically limited to large, aggregate categories that might obscure within-group inequities. To address this, Massachusetts examined COVID-19 vaccination coverage among pregnant persons by combinations of 12 racial and 34 ethnic groupings. Among 102,275 persons with a live birth in Massachusetts during May 1, 2021-October 31, 2022, receipt of ≥1 dose of a COVID-19 vaccine before or during pregnancy was 41.6% overall and was highest among persons who identified as Asian (55.0%) and lowest among those who identified as Hispanic (26.7%). However, within all broad racial and ethnic groupings, disparities in COVID-19 vaccination coverage were identified when the data were disaggregated into more granular categories; for example, COVID-19 vaccination coverage ranged from 10.8%-61.1% among pregnant persons who identified as Hispanic. Disaggregated analyses reveal diverse experiences within broad racial and ethnic groupings. This information can be used to guide outreach to pregnant persons in communities with lower rates of COVID-19 vaccination coverage during pregnancy.

Welcome Family is a universal, short-term nurse home visiting program designed to promote optimal maternal and infant physical and mental well-being and provide an entry point into the early childhood system of care to all families with newborns up to 8 weeks old living in defined communities in Massachusetts. The present study examines whether: 1) Welcome Family meets its goal of successfully connecting families to two early childhood programs—evidence-based home visiting (EBHV) and early intervention (EI)—relative to families with similar background experiences who do not participate in Welcome Family, and 2) whether these impacts are conditional on families’ race and ethnicity and their primary language—two characteristics that are related to structural racism and health inequities. The study used coarsened exact matching (CEM) based on birth certificate data to match Welcome Family participants who enrolled during 2013–2017 to mothers and their infants living in the home visiting catchment areas who did not receive home visiting during the study period. Primary study outcomes included enrollment in any EBHV program supported by the Massachusetts Maternal, Infant, and Early Childhood Home Visiting (MA MIECHV) program up to age 1 year, measured using MA MIECHV home visiting program data, and EI service receipt for children aged up to age 3 years, measured using EI program data. Impacts were assessed by fitting weighted regression models adjusted for preterm birth, maternal depression, and substance use. Mothers’ race, ethnicity, and language were included in the model as moderators of Welcome Family impacts on enrollment in EBHV and EI. Welcome Family participants (n = 3,866) had more than double the odds of EBHV enrollments up to age 1 and had 1.39 greater odds of receiving EI individualized family service plans (IFSPs) up to age 3 relative to the comparison group (n = 46,561). Mothers’ primary language moderated Welcome Family impacts on EBHV enrollments. Universal, short-term programs such as Welcome Family may be an effective method of ensuring families who could benefit from more intensive early childhood services are identified, engaged, and enrolled. © 2023 Elsevier Ltd

BACKGROUND: SARS-CoV-2 infection during pregnancy has been linked to preterm birth, but this association is not well understood. OBJECTIVES: To examine the association between SARS-CoV-2 infection and spontaneous and provider-initiated preterm birth (PTB), and how timing of infection, and race/ethnicity as a marker of structural inequality, may modify this association. METHODS: We conducted a retrospective cohort study among pregnant people who delivered singleton, liveborn infants (22-44 weeks gestation) from 1 March 2020 to 31 March 2021 (n = 68,288). We used Cox proportional hazards models to compare the hazard of PTB between pregnant people with and without laboratory-confirmed SARS-CoV-2 infection during pregnancy. We evaluated this association according to the trimester of infection, timing from infection to birth, and timing of PTB. We also examined the joint associations of SARS-CoV-2 infection and race/ethnicity with PTB using the relative excess risk due to interaction (RERI). RESULTS: Positive SARS-CoV-2 tests were identified for 2195 pregnant people (3.2%). The prevalence of PTB was 7.2% (3.8% spontaneous, 3.6% provider-initiated). SARS-CoV-2 infection during pregnancy was associated with an increased risk of PTB overall (adjusted hazard ratio [HR] 1.53, 95% confidence interval [CI] 1.34, 1.74), and provider-initiated PTB (HR 1.79, 95% CI 1.50, 2.12) but not spontaneous PTB (HR 1.09, 95% CI 0.89, 1.36). Second trimester infections were associated with an increased risk of provider-initiated PTB, and third trimester infections were associated with an increased risk of both PTB subtypes. A joint inverse association between White non-Hispanic race/ethnicity and SARS-CoV-2 infection and spontaneous PTB (HR 0.56, 95% CI 0.34, 0.94; RERI -0.6, 95% CI -1.0, -0.2) was also observed. CONCLUSIONS: SARS-CoV-2 infections were primarily associated with an increased risk for provider-initiated PTB in this study. These findings highlight the importance of promoting infection-prevention strategies among pregnant people.

The Early Intervention Parenting Partnerships (EIPP) program is a home visiting program that provides home visits, group services, assessments and screenings, and referrals delivered by a multidisciplinary team to expectant parents and families with infants who experience socioeconomic barriers, emotional and behavioral health challenges, or other stressors. The present study examines whether EIPP successfully meets its aims of screening families for social and environmental factors that may increase the risk of children's developmental delays and connect them to the larger statewide early intervention (EI) system relative to families with similar background characteristics who do not receive EIPP. Coarsened exact matching was used to match EIPP participants who enrolled between 2013 and 2017 to a comparison group of families identified from birth certificates. Primary study outcomes including EI referrals, evaluations, and service receipt for children from 3 months to 3 years were measured using EI program data. Secondary outcomes included EI referral source, EI eligibility criteria (e.g., presence of biological, social, or environmental factors that may increase later risk for developmental delay), and information on service use. Impacts were assessed by fitting weighted regression models adjusted for preterm birth and maternal depression and substance use. EIPP participants were more likely than the comparison group to be referred to, evaluated for, and receive EI services. EIPP facilitated the identification of EI-eligible children who are at risk for developmental delays due to social or environmental factors, such as violence and substance use in the home, child protective services involvement, high levels of parenting stress, and parent chronic illness or disability. EIPP serves as an entry point into the EI system, helping families attain the comprehensive supports they may need to optimize their well-being and enhance children's development.

OBJECTIVES: We describe clinical characteristics, pregnancy, and infant outcomes in pregnant people with laboratory-confirmed SARS-CoV-2 infection by trimester of infection. STUDY DESIGN: We analyzed data from the Surveillance for Emerging Threats to Mothers and Babies Network and included people with infection in 2020, with known timing of infection and pregnancy outcome. Outcomes are described by trimester of infection. Pregnancy outcomes included live birth and pregnancy loss (<20 weeks and ≥20 weeks gestation). Infant outcomes included preterm birth (<37 weeks gestation), small for gestational age, birth defects, and neonatal intensive care unit admission. Adjusted prevalence ratios (aPR) were calculated for pregnancy and selected infant outcomes by trimester of infection, controlling for demographics. RESULTS: Of 35,200 people included in this analysis, 50.8% of pregnant people had infection in the third trimester, 30.8% in the second, and 18.3% in the first. Third trimester infection was associated with a higher frequency of preterm birth compared to first or second trimester infection combined (17.8% vs. 11.8%; aPR 1.44 95% CI: 1.35-1.54). Prevalence of birth defects was 553.4/10,000 live births, with no difference by trimester of infection. CONCLUSIONS: There were no signals for increased birth defects among infants in this population relative to national baseline estimates, regardless of timing of infection. However, the prevalence of preterm birth in people with SARS-CoV-2 infection in pregnancy in our analysis was higher relative to national baseline data (10.0-10.2%), particularly among people with third trimester infection. Consequences of COVID-19 during pregnancy support recommended COVID-19 prevention strategies, including vaccination.

OBJECTIVES: Pregnant people infected with SARS-CoV-2, the virus that causes COVID-19, are at increased risk for severe illness and death compared with nonpregnant people. However, population-based information comparing characteristics of people with and without laboratory-confirmed SARS-CoV-2 infection during pregnancy is limited. We compared the characteristics of people with and without SARS-CoV-2 infection during pregnancy in Massachusetts. METHODS: We compared maternal demographic characteristics, pre-pregnancy conditions, and pregnancy complications of people with and without SARS-CoV-2 infection during pregnancy with completed pregnancies resulting in a live birth in Massachusetts during March 1, 2020-March 31, 2021. We tested for significant differences in the distribution of characteristics of pregnant people by SARS-CoV-2 infection status overall and stratified by race and ethnicity. We used modified Poisson regression analyses to examine the association between race and ethnicity and SARS-CoV-2 infection during pregnancy. RESULTS: Of 69 960 completed pregnancies identified during the study period, 3119 (4.5%) had laboratory-confirmed SARS-CoV-2 infection during pregnancy. Risk for SARS-CoV-2 infection was higher among Hispanic (adjusted risk ratio [aRR] = 2.3; 95% CI, 2.1-2.6) and non-Hispanic Black (aRR = 1.9; 95% CI, 1.7-2.1) pregnant people compared with non-Hispanic White pregnant people. CONCLUSIONS: This study demonstrates the disproportionate impact of SARS-CoV-2 infection on Hispanic and non-Hispanic Black pregnant people in Massachusetts, which may widen existent inequities in maternal morbidity and mortality. Future research is needed to elucidate the structural factors leading to these inequities.

The Surveillance for Emerging Threats to Mothers and Babies Network conducts longitudinal surveillance of pregnant persons in the United States with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection during pregnancy. Of 6,551 infected pregnant persons in this analysis, 142 (2.2%) had positive RNA tests >90 days and up to 416 days after infection.

PURPOSE: The considerable volume of infections from SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), has made it challenging for health departments to collect complete data for national disease reporting. We sought to examine sensitivity of the COVID-19 case report form (CRF) pregnancy field by comparing CRF data to the gold standard of CRF data linked to birth and fetal death certificates. DESCRIPTION: CRFs for women aged 15-44 years with laboratory-confirmed SARS-CoV-2 infection were linked to birth and fetal death certificates for pregnancies completed during January 1-December 31, 2020 in Illinois and Tennessee. Among linked records, pregnancy was considered confirmed for women with a SARS-CoV-2 specimen collection date on or prior to the delivery date. Sensitivity of the COVID-19 CRF pregnancy field was calculated by dividing the number of confirmed pregnant women with SARS-CoV-2 infection with pregnancy indicated on the CRF by the number of confirmed pregnant women with SARS-CoV-2 infection. ASSESSMENT: Among 4276 (Illinois) and 2070 (Tennessee) CRFs that linked with a birth or fetal death certificate, CRF pregnancy field sensitivity was 45.3% and 42.1%, respectively. In both states, sensitivity varied significantly by maternal race/ethnicity, insurance, trimester of prenatal care entry, month of specimen collection, and trimester of specimen collection. Sensitivity also varied by maternal education in Illinois but not in Tennessee. CONCLUSION: Sensitivity of the COVID-19 CRF pregnancy field varied by state and demographic factors. To more accurately assess outcomes for pregnant women, jurisdictions might consider utilizing additional data sources and linkages to obtain pregnancy status.

BACKGROUND: In 2015, the Massachusetts Department of Public Health (MDPH) adopted a Title V maternal and child health priority to "promote health and racial equity by addressing racial justice and reducing disparities." A survey assessing staff capacity to support this priority identified data collection and use as opportunities for improvement. In response, MDPH initiated a quality improvement project to improve use of data for action to promote racial equity. METHODS: MDPH conducted value stream mapping to understand existing processes for using data to inform racial equity work. Key informant interviews and a survey of program directors identified challenges to using data to promote racial equity. MDPH used a cause-and-effect diagram to identify and organize challenges to using data to inform racial equity work and better understand opportunities for improvement and potential solutions. RESULTS: Key informants highlighted the need to consider structural factors and historical and community contexts when interpreting data. Program directors noted limited staff time, lack of performance metrics, competing priorities, low data quality, and unclear expectations as challenges. To address the identified challenges, the team identified potential solutions and prioritized development and piloting of the MDPH Racial Equity Data Road Map (Road Map). CONCLUSIONS: The Road Map framework provides strategies for data collection and use that support the direction of actionable data-driven resources to racial inequities. The Road Map is a resource to support programs to authentically engage communities; frame data in the broader contexts that impact health; and design solutions that address root causes. With this starting point, public health systems can work toward creating data-driven programs and policies to improve racial equity.

Opioid use disorder and neonatal abstinence syndrome (NAS) increased in Massachusetts from 1999 to 2013 (1,2). In response, in 2016, the state passed a law requiring birth hospitals to report the number of newborns who were exposed to controlled substances to the Massachusetts Department of Public Health (MDPH)* by mandating monthly reporting of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnostic codes related to maternal dependence on opioids (F11.20) or benzodiazepines (F13.20) and to newborns affected by maternal use of drugs of addiction (P04.49) or experiencing withdrawal symptoms from maternal drugs of addiction (P96.1) separately.(†) MDPH uses these same codes for monthly, real-time crude estimates of NAS and uses P96.1 alone for official NAS state reporting.(§) MDPH requested CDC's assistance in evaluating the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of either maternal or newborn codes to identify substance-exposed newborns, and of newborn exposure codes (both exposure [P04.49] or withdrawal [P96.1]) and the newborn code for withdrawal alone (P96.1) to identify infants with NAS cases related to three exposure scenarios: 1) opioids, 2) opioids or benzodiazepines, and 3) any controlled substance. Confirmed diagnoses of substance exposure and NAS abstracted from linked clinical records for 1,123 infants born in 2017 and their birth mothers were considered the diagnostic standard and were compared against hospital-reported ICD-10-CM codes. For identifying substance-exposed newborns across the three exposure scenarios, the newborn exposure codes had higher sensitivity (range = 31%-61%) than did maternal drug dependence codes (range = 16%-41%), but both sets of codes had high PPV (≥74%). For identifying NAS, for all exposure scenarios, the sensitivity for either newborn code (P04.49 or P96.1) was ≥92% and the PPV was ≥64%; for P96.1 alone the sensitivity was ≥79% and the PPV was ≥92% for all scenarios. Whereas ICD-10-CM codes are effective for NAS surveillance in Massachusetts, they should be applied cautiously for substance-exposed newborn surveillance. Surveillance for substance-exposed newborns using ICD-10-CM codes might be improved by increasing the use of validated substance-use screening tools and standardized facility protocols and improving communication between patients and maternal health and infant health care providers.

OBJECTIVES: The rate of severe maternal morbidity in the United States increased approximately 200% during 1993-2014. Few studies have reported on the health of the entire pregnant population, including women at low risk for maternal morbidity. This information might be useful for interventions aimed at primary prevention of pregnancy complications. To better understand this, we sought to describe the distribution of comorbid risk among all delivery hospitalizations in Massachusetts and its association with the distribution of severe maternal morbidity. METHODS: Using an existing algorithm, we assigned an obstetric comorbidity index (OCI) score to delivery hospitalizations contained in the Massachusetts pregnancy to early life longitudinal (PELL) data system during 1998-2013. We identified which hospitalizations included severe maternal morbidity and calculated the rate and frequency of these hospitalizations by OCI score. RESULTS: During 1998-2013, PELL contained 1,185,182 delivery hospitalizations; of these 5325 included severe maternal morbidity. Fifty-eight percent of delivery hospitalizations had an OCI score of zero. The mean OCI score increased from 0.60 in 1998 to 0.82 in 2013. Hospitalizations with an OCI score of zero comprised approximately one-third of all deliveries complicated by severe maternal morbidity, but had the lowest rate of severe maternal morbidity (22.8/10,000 delivery hospitalizations). CONCLUSIONS: The mean OCI score increased during the study period, suggesting that an overall increase in risk factors has occurred in the pregnant population in Massachusetts. Interventions that can make small decreases to the mean OCI score could have a substantial impact on the number of deliveries complicated by severe maternal morbidity. Additionally, all delivery facilities should be prepared for severe complications during low-risk deliveries.

Purpose Describe how Ohio and Massachusetts explored severe maternal morbidity (SMM) data, and used these data for increasing awareness and driving practice changes to reduce maternal morbidity and mortality. Description For 2008-2013, Ohio used de-identified hospital discharge records and International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes to identify delivery hospitalizations. Massachusetts used existing linked data system infrastructure to identify delivery hospitalizations from birth certificates linked to hospital discharge records. To identify delivery hospitalizations complicated by one or more of 25 SMMs, both states applied an algorithm of ICD-9-CM diagnosis and procedure codes. Ohio calculated a 2013 SMM rate of 144 per 10,000 delivery hospitalizations; Massachusetts calculated a rate of 162. Ohio observed no increase in the SMM rate from 2008 to 2013; Massachusetts observed a 33% increase. Both identified disparities in SMM rates by maternal race, age, and insurance type. Assessment Ohio and Massachusetts engaged stakeholders, including perinatal quality collaboratives and maternal mortality review committees, to share results and raise awareness about the SMM rates and identified high-risk populations. Both states are applying findings to inform strategies for improving perinatal outcomes, such as simulation training for obstetrical emergencies, licensure rules for maternity units, and a focus on health equity. Conclusion Despite data access differences, examination of SMM data informed public health practice in both states. Ohio and Massachusetts maximized available state data for SMM investigation, which other states might similarly use to understand trends, identify high risk populations, and suggest clinical or population level interventions to improve maternal morbidity and mortality.

BACKGROUND: Zika virus has recently emerged as a novel cause of microcephaly. CDC has asked states to rapidly ascertain and report cases of Zika-linked birth defects, including microcephaly. Massachusetts added head circumference to its birth certificate (BC) in 2011. The accuracy of head circumference measurements from state vital records data has not been reported. METHODS: We sought to assess the accuracy of Massachusetts BC head circumference measurements by comparing them to measurements for 2,217 infants born during 2012-2013 captured in the Massachusetts Birth Defects Monitoring Program (BDMP) data system. BDMP contains information abstracted directly from infant medical records and served as the true head circumference value (i.e., gold standard) for analysis. We calculated the proportion of head circumference measurements in agreement between the BC and BDMP data. We assigned growth chart head circumference percentile categories to each BC and BDMP measurement, and calculated the sensitivity and specificity of BC-based categories to predict BDMP-based categories. RESULTS: No difference was found in head circumference measurements between the two sources in 77.9% (n = 1,727) of study infants. The sensitivity of BC-based head circumference percentile categories ranged from 85.6% (<3rd percentile) to 92.7% (≥90th percentile) and the specificity ranged from 97.6% (≥90th percentile) to 99.3% (<3rd percentile). CONCLUSIONS: BC head circumference measurements agreed with those abstracted from the medical chart the majority of the time. Head circumference measurements on the BC were more specific than sensitive across all standardized growth chart percentile categories.

BACKGROUND: Little is known about the impact of severe maternal morbidity (SMM) after delivery. We examined the risk of rehospitalization in the first year postpartum among deliveries to women with and without SMM. MATERIALS AND METHODS: We used the Pregnancy to Early Life Longitudinal data system, in which vital birth/fetal death records were linked with hospital delivery discharge data and subsequent nondelivery hospitalization data, including observational stays (OSs) and in-patient stays (hospital discharge [HD]) for Massachusetts residents during 2002-2011. We excluded deliveries to women with preexisting chronic conditions: hypertension, diabetes, asthma, and autoimmune conditions for a final sample of 685,228 deliveries. Multivariable log binomial regression with generalized estimating equations modeled the relative risk (RR) of hospital encounters 6 weeks and 1 year postpartum. RESULTS: The rate of SMM was 99 per 10,000 deliveries. In the first year postpartum, 2.8% of deliveries to women without chronic medical conditions experienced at least one HD encounter and 1.0% at least one OS encounter. The adjusted relative risk (aRR) of any HD encounter for deliveries with SMM was 2.48 (95% confidence interval [CI]: 2.20-2.80) within 6 weeks postpartum and 2.04 (95% CI: 1.87-2.23) within 1 year. For OS encounters, aRRs among deliveries with SMM at delivery were 2.47 (95% CI: 1.94-3.14) in the first 6 weeks and 1.69 (95% CI: 1.43-2.01) in 1 year. CONCLUSIONS: In Massachusetts, SMM increased the risk of rehospitalization in the first year postpartum among deliveries to women without chronic medical conditions.

OBJECTIVE: To explore disparities in prematurity and low birth weight (LBW) by maternal race and ethnicity among singletons conceived with and without assisted reproductive technology (ART). METHODS: We performed a retrospective cohort study using resident birth certificate data from Florida, Massachusetts, and Michigan linked with data from the National ART Surveillance System from 2000 to 2010. There were 4,568,822 live births, of which 64,834 were conceived with ART. We compared maternal and ART cycle characteristics of singleton liveborn neonates using chi tests across maternal race and ethnicity groups. We used log binomial models to explore associations between maternal race and ethnicity and LBW and preterm birth by ART conception status. RESULTS: The proportion of liveborn neonates conceived with ART differed by maternal race and ethnicity (P<.01). It was smallest among neonates of non-Hispanic black (0.3%) and Hispanic women (0.6%) as compared with neonates of non-Hispanic white (2.0%) and Asian or Pacific Islander women (1.9%). The percentages of LBW or preterm singletons were highest for neonates of non-Hispanic black women both for non-ART (11.3% and 12.4%) and ART (16.1% and 19.1%) -conceived neonates. After adjusting for maternal factors, the risks of LBW or preterm birth for singletons born to non-Hispanic black mothers were 2.12 [95% confidence interval (CI) 2.10-2.14] and 1.56 (95% CI 1.54-1.57) times higher for non-ART neonates and 1.87 (95% CI 1.57-2.23) and 1.56 (95% CI 1.34-1.83) times higher for ART neonates compared with neonates of non-Hispanic white women. The adjusted risk for LBW was also significantly higher for ART and non-ART singletons born to Hispanic (adjusted relative risk [RR] 1.26, 95% CI 1.09-1.47 and adjusted RR 1.15, 95% CI 1.13-1.16) and Asian or Pacific Islander (adjusted RR 1.39, 95% CI 1.16-1.65 and adjusted RR 1.55, 95% CI 1.52-1.58) women compared with non-Hispanic white women. CONCLUSION: Disparities in adverse perinatal outcomes by maternal race and ethnicity persisted for neonates conceived with and without ART.

OBJECTIVE: The objective of this study was to compare the prevalence of home care practices in very to moderately preterm (VPT), late preterm (LPT) and term infants born in Massachusetts. STUDY DESIGN: Using 2007 to 2010 Massachusetts Pregnancy Risk Assessment Monitoring System data, births were categorized by gestational age (VPT: 23 to 33 weeks; LPT: 34 to 36 weeks; term: 37 to 42 weeks). Home care practices included breastfeeding initiation and continuation, and infant sleep practices (supine sleep position, sleeping in a crib, cosleeping in an adult bed). We developed multivariate models to examine the association of infant sleep practices and breastfeeding with preterm status, controlling for maternal sociodemographic characteristics. RESULTS: Supine sleep position was more prevalent among term infants compared with VPT and LPT infants (77.1%, 71.5%, 64.4%; P=0.02). In the adjusted model, LPT infants were less likely to be placed in supine sleep position compared with term infants (adjusted prevalence ratio=0.86; 95% confidence interval: 0.75 to 0.97). Breastfeeding initiation and continuation did not differ among preterm and term groups. Nearly 16% of VPT and 18% of LPT and term infants were not sleeping in cribs and 14% of LPT and term infants were cosleeping on an adult bed. CONCLUSION: Compared with term infants, LPT infants were less likely to be placed in supine sleep position after hospital discharge. A significant percent of preterm and term infants were cosleeping on an adult bed. Hospitals may consider improving their safe sleep education, particularly to mothers of LPT infants.

Ascaris is a genus of parasitic nematodes that can cause infections in humans and pigs. During 2010-2013, we identified 14 cases of ascariasis in persons who had contact with pigs in Maine, USA. Ascaris spp. are important zoonotic pathogens, and prevention measures are needed, including health education, farming practice improvements, and personal and food hygiene.

OBJECTIVE: To compare the prevalence of and characteristics associated with early intervention (EI) program enrollment among infants born late preterm (34-36 weeks' gestation), early term (37-38 weeks' gestation), and term (39-41 weeks' gestation). METHODS: A Massachusetts cohort of 554 974 singleton infants born during 1998 through 2005 and survived the neonatal period was followed until the third birthday of each infant. Data came from the Pregnancy to Early Life Longitudinal Data System that linked birth certificates, birth hospital discharge reports, death certificates, and EI program enrollment records. We calculated prevalence and adjusted risk ratios to compare differences and understand associations. RESULTS: The prevalence of EI program enrollment increased with each decreasing week of gestation before 41 weeks (late preterm [23.5%], early term [14.9%], and term [11.9%]. In adjusted analyses, the strongest predictors of EI enrollment (adjusted risk ratio ≥1.20) for all gestational age groups were male gender, having a congenital anomaly, and having mothers who were ≥40 years old, nonhigh school graduates, and recipients of public insurance. CONCLUSIONS: Infants born late preterm and early term have higher prevalence of EI program services enrollment than infants born at term, and may benefit from more frequent monitoring for developmental delays or disabilities.

OBJECTIVE: Women who conceive with the assistance of fertility treatments are at increased risk for multiple-gestation pregnancies and accompanying adverse pregnancy outcomes. The Pregnancy Risk Assessment Monitoring System (PRAMS) can be used to assess outcomes associated with fertility treatments, but a previous study suggested that PRAMS questions about fertility treatments overestimated use of assisted reproductive technology (ART) by 2.6 times. These PRAMS ART questions were revised in 2004. We compared prevalence estimates based on revised questions with counts from the National ART Surveillance System (NASS), the standard for describing ART prevalence. METHODS: We compared weighted PRAMS prevalence estimates of births conceived by using ART with corresponding counts from NASS for three states (Florida, Maryland, and Utah) for 2004. We also compared these data by age, parity, plurality, and infant birthweight. RESULTS: Estimated ART births determined from PRAMS totaled 3,672 (95% confidence interval 2,210, 5,134), compared with 2,939 ART births reported to NASS. PRAMS estimates and NASS counts differed by maternal age (p=0.02) and parity (p<0.01). For example, PRAMS responses from women aged ≥40 years overestimated ART use by 70% (27.9% vs. 16.5%, p<0.01). CONCLUSIONS: Revised PRAMS questions better estimate numbers of ART births than earlier PRAMS questions. PRAMS data are useful to describe behaviors and outcomes associated with ART use.

OBJECTIVE: We examined trends in autism spectrum disorder diagnoses by age 36 months (early diagnoses) and identified characteristics associated with early diagnoses. METHODS: Massachusetts birth certificate and early-intervention program data were linked to identify infants born between 2001 and 2005 who were enrolled in early intervention and receiving autism-related services before age 36 months (through December 31, 2008). Trends in early autism spectrum disorders were examined using Cochran-Armitage trend tests. chi(2) Statistics were used to compare distributions of selected characteristics for children with and without autism spectrum disorders. Multivariate logistic regression analyses were conducted to identify independent predictors of early diagnoses. RESULTS: A total of 3013 children (77.5 per 10 000 study population births) were enrolled in early intervention for autism spectrum disorder by age 36 months. Autism spectrum disorder incidence increased from 56 per 10 000 infants among the 2001 birth cohort to 93 per 10 000 infants in 2005. Infants of mothers younger than 24 years of age, whose primary language was not English or who were foreign-born had lower odds of an early autism spectrum disorder diagnosis. Maternal age older than 30 years was associated with increased odds of an early autism spectrum disorder diagnosis. Odds of early autism spectrum disorders were 4.5 (95% confidence interval: 4.1-5.0) times higher for boys than girls. CONCLUSIONS: Early autism spectrum disorder diagnoses are increasing in Massachusetts, reflecting the national trend observed among older children. Linkage of early-intervention program data with population-based vital statistics is valuable for monitoring autism spectrum disorder trends and planning developmental and educational service needs.

BACKGROUND: Sickle cell disease (SCD) is a severe hematologic condition that presents unique complications among affected pregnant women. Many studies of adverse perinatal outcomes associated with SCD are limited by small samples or fail to consider important risk factors. PURPOSE: This study compared perinatal outcomes among women of African ancestry with and without SCD in a large, population-based sample. METHODS: Data from the Massachusetts Pregnancy to Early Life Longitudinal (PELL) Data System were analyzed during June-August 2009 to identify in-state deliveries to resident women of African descent. Logistic regression analyses compared perinatal outcomes for deliveries among women with and without SCD, adjusted for maternal age, education, parity, plurality, insurance status, adequacy of prenatal care, smoking during pregnancy, and infant gender. RESULTS: During 1998-2006, there were 116,076 deliveries to 84,561 women; SCD prevalence was 0.6%. Adjusted odds of fetal death among deliveries to women with SCD were 2.2 times those among women without SCD (95% CI=1.2, 4.2). Compared to women without SCD, the odds of preterm delivery, low birth weight, and having babies small for gestational age (SGA) among women with SCD were 1.5 (95% CI=1.2, 1.8); 1.7 (95% CI=1.1, 2.6); and 1.3 (95% CI=1.0, 1.7), respectively. Sickle cell disease was positively associated with cesarean delivery and inductions. CONCLUSIONS: Population-based linked data systems are useful for assessing risks of adverse health outcomes among women with specific medical conditions, such as SCD. Women with SCD should seek preconception care to identify and modify risk behaviors and receive counseling regarding potential adverse sequelae associated with pregnancy-related morbidity and preterm delivery.