School Readiness Among United States Children: Results From the 2022 National Survey of Children's Health.

OBJECTIVE: Provide the latest national and state estimates and correlates of the proportion of young children who are healthy and ready to learn (HRTL) using a revised measure from the National Survey of Children's Health (NSCH). METHODS: Data were analyzed for 11,121 children ages 3 to 5 years from the 2022 NSCH, an address-based, parent-completed survey on the health and well-being of children in the United States. A total of 27 items across 5 domains (early learning skills, social emotional development, self-regulation, motor development, and health) were used to calculate domain-specific assessments scored as "on track," "emerging," or "needs support" according to age-appropriate developmental expectations. Children "on track" in 4 to 5 domains with no domain that "needs support" were considered HRTL. RESULTS: In 2022, 63.6% of 3- to 5-year-old children were HRTL. The proportion of children "on track" ranged from just over two thirds for early learning skills and motor development to 88.9% for health. One million children, or 9.0%, needed support in multiple domains. Being HRTL was associated with child, family, community factors including participation in early childhood education, special health care needs status/type, male sex, reading/singing/storytelling by family members, adverse childhood experiences, parental mental health and education, food insufficiency, outdoor play, household language, neighborhood amenities, rural residence, medical home access. CONCLUSIONS: Nearly two thirds of young children are reported to be HRTL, meeting the Title V National Outcome Measure for School Readiness. Using a revised measure, modifiable factors are identified which offer a range of intervention opportunities at the child, family, and community levels.

Trends in Severe Maternal Morbidity in the US Across the Transition to ICD-10-CM/PCS From 2012-2019.

Importance: Surveillance of severe maternal morbidity (SMM) is critical for monitoring maternal health and evaluating clinical quality improvement efforts. Objective: To evaluate national and state trends in SMM rates from 2012 to 2019 and potential disruptions associated with the transition to International Classification of Diseases, 10th Revision, Clinical Modification and Procedure Coding System (ICD-10-CM/PCS) in October 2015. Design, Setting, and Participants: This repeated cross-sectional analysis examined delivery hospitalizations from 2012 through 2019 in the Healthcare Cost and Utilization Project's National Inpatient Sample and State Inpatient Databases, an all-payer compendium of hospital discharge records from community, nonrehabilitation hospitals. Trends were evaluated using segmented linear binomial regression models that allowed for discontinuities across the ICD-10-CM/PCS transition. Analyses were completed from April 2021 through March 2022. Exposures: Time, ICD-10-CM/PCS coding system, and state. Main Outcomes and Measures: SMM rates, excluding blood transfusion, per 10 000 delivery hospitalizations, overall and by indicator. Results: From 2012 to 2019, there were 5 964 315 delivery hospitalizations in the national sample representing a weighted total of 29.8 million deliveries with a mean (SD) maternal age of 28.6 (5.9) years. SMM rates increased from 69.5 per 10 000 in 2012 to 79.7 per 10 000 in 2019 (rate difference [RD], 10.2; 95% CI, 5.8 to 14.6) without a significant change across the ICD-10-CM/PCS transition (RD, -3.2; 95% CI, -6.9 to 0.6). Of 20 SMM indicators, rates for 10 indicators significantly increased while 3 significantly decreased; 5 of these changes were associated with ICD-10-CM/PCS transition. Acute kidney failure had the largest increase, from 6.4 to 15.3 per 10 000 delivery hospitalizations (RD, 8.9; 95% CI, 7.5 to 10.3) with no change associated with ICD transition (RD, -0.1; 95% CI, -1.2 to 1.1). Disseminated intravascular coagulation had the largest decrease from 31.3 to 21.2 per 10 000 (RD, 10.2; 95% CI, -12.8 to -7.5), with a significant drop associated with ICD transition (RD, -7.9; 95% CI, -10.2 to -5.6). State SMM rates significantly decreased for 1 state and significantly increased for 21 states from 2012 to 2019 and associations with ICD transition varied. Conclusions and Relevance: In this cross-sectional study, overall US SMM rates increased from 2012 to 2019, which was not associated with the ICD-10-CM/PCS transition. However, data for certain indicators and states may not be comparable across coding systems; efforts are needed to understand SMM increases and state variation.

Children and Youth With Special Health Care Needs: A Profile.

BACKGROUND AND OBJECTIVES: The National Survey of Children's Health (NSCH) is the nation's primary source for data on children and youth with special health care needs (CYSHCN) and the only source for state-level estimates. We provide the latest estimates of CYSHCN in the United States, describe population characteristics, as well as the proportion that are served in a well-functioning system of care. METHODS: Data from the 2016, 2017, 2018, and 2019 NSCH were appended, resulting in a final analytic sample of 30 301 CYSHCN. Bivariate associations between the covariates and SHCN status as well as the 6 core outcomes that comprise a well-functioning system of care were examined using χ2 tests. Multivariable logistic regression was used to identify factors independently associated with SHCN status and a well-functioning system of care. RESULTS: The overall prevalence of CYSHCN was 18.8% and ranged from 13.6% in Hawaii to 24% of individuals included in the NSCH in West Virginia. The most reported type of SHCN was prescription medication use (29.3%), whereas 25.9% of CYSHCN had functional limitations. Over one-third reported no daily activity impacts, whereas 18.9% reported consistent or significant daily impacts. CYSHCN were more likely than non-CYSHCN to be male, older, non-Hispanic Black, live in poverty, and have public insurance but disparities by race and ethnicity and income were no longer significant after adjustment. Only 14.9% of CYSHCN were reported to receive care in a well-organized system. Rates were substantially lower among older and more heavily affected children with adjusted rate ratios for access to a well-functioning system of care, indicating a 72% reduction for adolescents (12-17), compared with young children (0-5) and a 24% to 53% reduction for those with more than a prescription medication qualifying need. CONCLUSIONS: CYSHCN remain a sizable and diverse population with distinct challenges in accessing well-functioning systems of care, particularly for those with the greatest needs. Our results provide a profile of the population designed to inform future surveillance, research, program, and policy priorities showcased in this Special Issue.

Neonatal Abstinence Syndrome and Maternal Opioid-Related Diagnoses: Analysis of ICD-10-CM Transition, 2013-2017.

BACKGROUND AND OBJECTIVES: Hospital discharge records remain a common data source for tracking the opioid crisis among pregnant women and infants. The International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) transition from the International Classification of Diseases, Ninth Revision, Clinical Modification may have affected surveillance. Our aim was to evaluate this transition on rates of neonatal abstinence syndrome (NAS), maternal opioid use disorder (OUD), and opioid-related diagnoses (OUD with ICD-10-CM codes for long-term use of opioid analgesics and unspecified opioid use). METHODS: Data from the 2013-2017 Healthcare Cost and Utilization Project's National Inpatient Sample were used to conduct, interrupted time series analysis and log-binomial segmented regression to assess whether quarterly rates differed across the transition. RESULTS: From 2013 to 2017, an estimated 18.8 million birth and delivery hospitalizations were represented. The ICD-10-CM transition was not associated with NAS rates (rate ratio [RR]: 0.99; 95% confidence interval [CI]: 0.90-1.08; P = .79) but was associated with 11% lower OUD rates (RR: 0.89; 95% CI: 0.80-0.98; P = .02) and a decrease in the quarterly trend (RR: 0.98; 95% CI: 0.96-1.00; P = .04). The transition was not associated with maternal OUD plus long-term use rates (RR: 0.98; 95% CI: 0.89-1.09; P = .76) but was associated with a 20% overall increase in opioid-related diagnosis rates including long-term and unspecified use (RR: 1.20; 95% CI: 1.09-1.32; P < .001). CONCLUSIONS: The ICD-10-CM transition did not appear to affect NAS. However, coding of maternal OUD alone may not capture the same population across the transition, which confounds the interpretation of trend data spanning this time period.

Healthy and Ready to Learn: Prevalence and Correlates of School Readiness among United States Preschoolers.

OBJECTIVE: To assess the national and state prevalence of being "Healthy and Ready to Learn" (HRL) and associated sociodemographic, health, family and neighborhood factors. METHODS: Cross-sectional analysis of the 2016 National Survey of Children's Health, a nationally representative parent-reported survey administered by web and paper June 2016 to February 2017. Four domains were constructed from 18 items through confirmatory factor analyses: "Early Learning Skills", "Social-Emotional Development", "Self-Regulation", and "Physical Well-being and Motor Development." Each item and domain were scored according to age-specific standards as "On-Track", "Needs Support", and "At Risk" with overall HRL defined as "On-Track" in all domains for 7565 randomly selected children ages 3 to 5 years. RESULTS: In 2016, 42.2% of children ages 3 to 5 years were considered HRL with the proportion considered "On-Track" ranging from 58.4% for Early Learning Skills to 85.5% for Physical Well-being and Motor Development"; approximately 80% of children were considered "On-Track" in Social-Emotional Development and Self-Regulation, respectively. Sociodemographic differences were mostly non-significant in multivariable analyses. Health, family, and neighborhood factors (ie, special health care needs status/type, parental mental health, reading, singing and storytelling, screen time, adverse childhood experiences, and neighborhood amenities) were associated with HRL. HRL prevalence ranged from 25.5% (NV) to 58.7% (NY), but only 4 states were significantly different from the U.S. overall. CONCLUSIONS: Based on this pilot measure, only about 4 in 10 US children ages 3 to 5 years may be considered "Healthy and Ready to Learn." Improvement opportunities exist for multiple, modifiable factors to affect young children's readiness to start school.

Neonatal Abstinence Syndrome and Maternal Opioid-Related Diagnoses in the US, 2010-2017.

Importance: Substantial increases in both neonatal abstinence syndrome (NAS) and maternal opioid use disorder have been observed through 2014. Objective: To examine national and state variation in NAS and maternal opioid-related diagnoses (MOD) rates in 2017 and to describe national and state changes since 2010 in the US, which included expanded MOD codes (opioid use disorder plus long-term and unspecified use) implemented in International Classification of Disease, 10th Revision, Clinical Modification. Design, Setting, and Participants: Repeated cross-sectional analysis of the 2010 to 2017 Healthcare Cost and Utilization Project's National Inpatient Sample and State Inpatient Databases, an all-payer compendium of hospital discharge records from community nonrehabilitation hospitals in 47 states and the District of Columbia. Exposures: State and year. Main Outcomes and Measures: NAS rate per 1000 birth hospitalizations and MOD rate per 1000 delivery hospitalizations. Results: In 2017, there were 751 037 birth hospitalizations and 748 239 delivery hospitalizations in the national sample; 5375 newborns had NAS and 6065 women had MOD documented in the discharge record. Mean gestational age was 38.4 weeks and mean maternal age was 28.8 years. From 2010 to 2017, the estimated NAS rate significantly increased by 3.3 per 1000 birth hospitalizations (95% CI, 2.5-4.1), from 4.0 (95% CI, 3.3-4.7) to 7.3 (95% CI, 6.8-7.7). The estimated MOD rate significantly increased by 4.6 per 1000 delivery hospitalizations (95% CI, 3.9-5.4), from 3.5 (95% CI, 3.0-4.1) to 8.2 (95% CI, 7.7-8.7). Larger increases for MOD vs NAS rates occurred with new International Classification of Disease, 10th Revision, Clinical Modification codes in 2016. From a census of 47 state databases in 2017, NAS rates ranged from 1.3 per 1000 birth hospitalizations in Nebraska to 53.5 per 1000 birth hospitalizations in West Virginia, with Maine (31.4), Vermont (29.4), Delaware (24.2), and Kentucky (23.9) also exceeding 20 per 1000 birth hospitalizations, while MOD rates ranged from 1.7 per 1000 delivery hospitalizations in Nebraska to 47.3 per 1000 delivery hospitalizations in Vermont, with West Virginia (40.1), Maine (37.8), Delaware (24.3), and Kentucky (23.4) also exceeding 20 per 1000 delivery hospitalizations. From 2010 to 2017, NAS and MOD rates increased significantly for all states except Nebraska and Vermont, which only had MOD increases. Conclusions and Relevance: In the US from 2010 to 2017, estimated rates of NAS and MOD significantly increased nationally and for the majority of states, with notable state-level variation.

Determinants of rural-urban differences in health care provider visits among women of reproductive age in the United States.

BACKGROUND: Rural health disparities and access gaps may contribute to higher maternal and infant morbidity and mortality. Understanding and addressing access barriers for specialty women's health services is important in mitigating risks for adverse childbirth events. The objective of this study was to investigate rural-urban differences in health care access for women of reproductive age by examining differences in past-year provider visit rates by provider type, and quantifying the contributing factors to these findings. METHODS AND FINDINGS: Using a nationally-representative sample of reproductive age women (n = 37,026) from the Medical Expenditure Panel Survey (2010-2015) linked to the Area Health Resource File, rural-urban differences in past-year office visit rates with health care providers were examined. Blinder-Oaxaca decomposition analysis quantified the portion of disparities explained by individual- and county-level sociodemographic and provider supply characteristics. Overall, there were no rural-urban differences in past-year visits with women's health providers collectively (65.0% vs 62.4%), however differences were observed by provider type. Rural women had lower past-year obstetrician-gynecologist (OB-GYN) visit rates than urban women (23.3% vs. 26.6%), and higher visit rates with family medicine physicians (24.3% vs. 20.9%) and nurse practitioners/physician assistants (NPs/PAs) (24.6% vs. 16.1%). Lower OB-GYN availability in rural versus urban counties (6.1 vs. 13.7 providers/100,000 population) explained most of the rural disadvantage in OB-GYN visit rates (83.8%), and much of the higher family physician (80.9%) and NP/PA (50.1%) visit rates. Other individual- and county-level characteristics had smaller effects on rural-urban differences. CONCLUSION: Although there were no overall rural-urban differences in past-year visit rates, the lower OB-GYN availability in rural areas appears to affect the types of health care providers seen by women. Whether rural women are receiving adequate specialized women's health care services, while seeing a different cadre of providers, warrants further investigation and has particular relevance for women experiencing high-risk pregnancies and deliveries.

Regional variation in Black infant mortality: The contribution of contextual factors.

BACKGROUND: Compared to other racial/ethnic groups, infant mortality rates (IMR) are persistently highestamong Black infants in the United States, yet there is considerable regional variation. We examined state and county-level contextual factors that may explain regional differences in Black IMR and identified potential strategies for improvement. METHODS AND FINDINGS: Black infant mortality data are from the Linked Birth/Infant Death files for 2009-2011. State and county contextual factors within social, economic, environmental, and health domains were compiled from various Census databases, the Food Environment Atlas, and the Area Health Resource File. Region was defined by the nine Census Divisions. We examined contextual associations with Black IMR using aggregated county-level Poisson regression with standard errors adjusted for clustering by state. Overall, Black IMR varied 1.5-fold across regions, ranging from 8.78 per 1,000 in New England to 13.77 per 1,000 in the Midwest. In adjusted models, the following factors were protective for Black IMR: higher state-level Black-White marriage rate (rate ratio (RR) per standard deviation (SD) increase = 0.81, 95% confidence interval (CI):0.70-0.95), higher state maternal and child health budget per capita (RR per SD = 0.96, 95% CI:0.92-0.99), and higher county-level Black index of concentration at the extremes (RR per SD = 0.85, 95% CI:0.81-0.90). Modeled variables accounted for 35% of the regional variation in Black IMR. CONCLUSIONS: These findings are broadly supportive of ongoing public policy efforts to enhance social integration across races, support health and social welfare program spending, and improve economic prosperity. Although contextual factors accounted for about a third of regional variation, further research is needed to more fully understand regional variation in Black IMR disparities.

Urban-Rural Infant Mortality Disparities by Race and Ethnicity and Cause of Death.

INTRODUCTION: Infant mortality rates are higher in nonmetropolitan areas versus large metropolitan areas. Variation by race/ethnicity and cause of death has not been assessed. Urban-rural infant mortality rate differences were quantified by race/ethnicity and cause of death. METHODS: National Vital Statistics System linked birth/infant death data (2014-2016) were analyzed in 2019 by 3 urban-rural county classifications: large metropolitan, medium/small metropolitan, and nonmetropolitan. Excess infant mortality rates (rate differences) by urban-rural classification were calculated relative to large metropolitan areas overall and for each racial/ethnic group. The number of excess deaths, population attributable fraction, and proportion of excess deaths attributable to underlying causes of death was calculated. RESULTS: Nonmetropolitan areas had the highest excess infant mortality rate overall. Excess infant mortality rates were substantially lower for Hispanic infants than other races/ethnicities. Overall, 7.4% of infant deaths would be prevented if all areas had the infant mortality rate of large metropolitan areas. With more than half of births occurring outside of large metropolitan areas, the population attributable fraction was highest for American Indian/Alaska Natives (20.3%) and whites, non-Hispanic (14.3%). Excess infant mortality rates in both nonmetropolitan and medium/small metropolitan areas were primarily attributable to sudden unexpected infant deaths (42.3% and 31.9%) and congenital anomalies (30.1% and 26.8%). This pattern was consistent for all racial/ethnic groups except black, non-Hispanic infants, for whom preterm-related and sudden unexpected infant deaths accounted for the largest share of excess infant mortality rates. CONCLUSIONS: Infant mortality increases with rurality, and excess infant mortality rates are predominantly attributable to sudden unexpected infant deaths and congenital anomalies, with differences by race/ethnicity regarding magnitude and cause of death.

Prevalence and Factors Associated With Safe Infant Sleep Practices.

OBJECTIVES: To examine prevalence of safe infant sleep practices and variation by sociodemographic, behavioral, and health care characteristics, including provider advice. METHODS: Using 2016 Pregnancy Risk Assessment Monitoring System data from 29 states, we examined maternal report of 4 safe sleep practices indicating how their infant usually slept: (1) back sleep position, (2) separate approved sleep surface, (3) room-sharing without bed-sharing, and (4) no soft objects or loose bedding as well as receipt of health care provider advice corresponding to each sleep practice. RESULTS: Most mothers reported usually placing their infants to sleep on their backs (78.0%), followed by room-sharing without bed-sharing (57.1%). Fewer reported avoiding soft bedding (42.4%) and using a separate approved sleep surface (31.8%). Reported receipt of provider advice ranged from 48.8% (room-sharing without bed-sharing) to 92.6% (back sleep position). Differences by sociodemographic, behavioral, and health care characteristics were larger for safe sleep practices (∼10-20 percentage points) than receipt of advice (∼5-10 percentage points). Receipt of provider advice was associated with increased use of safe sleep practices, ranging from 12% for room-sharing without bed-sharing (adjusted prevalence ratio: 1.12; 95% confidence interval: 1.09-1.16) to 28% for back sleep position (adjusted prevalence ratio: 1.28; 95% confidence interval: 1.21-1.35). State-level differences in safe sleep practices spanned 20 to 25 percentage points and did not change substantially after adjustment for available characteristics. CONCLUSIONS: Safe infant sleep practices, especially those other than back sleep position, are suboptimal, with demographic and state-level differences indicating improvement opportunities. Receipt of provider advice is an important modifiable factor to improve infant sleep practices.

Black-White Disparities in Preterm Birth: Geographic, Social, and Health Determinants.

INTRODUCTION: Reducing racial/ethnic disparities in preterm birth is a priority for U.S. public health programs. The study objective was to quantify the relative contribution of geographic, sociodemographic, and health determinants to the black, non-Hispanic and white, non-Hispanic preterm birth disparity. METHODS: Cross-sectional 2016 U.S. birth certificate data (analyzed in 2018-2019) were used. Black-white differences in covariate distributions and preterm birth and very preterm birth rates were examined. Decomposition methods for nonlinear outcomes based on logistic regression were used to quantify the extent to which black-white differences in covariates contributed to preterm birth and very preterm birth disparities. RESULTS: Covariate differences between black and white women were found within each category of geographic, sociodemographic, and health characteristics. However, not all covariates contributed substantially to the disparity. Close to 38% of the preterm birth and 31% of the very preterm birth disparity could be explained by black-white covariate differences. The largest contributors to the disparity included maternal education (preterm birth, 11.3%; very preterm birth, 9.0%), marital status/paternity acknowledgment (preterm birth, 13.8%; very preterm birth, 14.7%), source of payment for delivery (preterm birth, 6.2%; very preterm birth, 3.2%), and hypertension in pregnancy (preterm birth, 9.9%; very preterm birth, 8.3%). Interpregnancy interval contributed a more sizable contribution to the disparity (preterm birth, 6.2%, very preterm birth, 6.0%) in sensitivity analyses restricted to all nonfirstborn births. CONCLUSIONS: These findings demonstrate that the known portion of the disparity in preterm birth is driven by sociodemographic and preconception/prenatal health factors. Public health programs to enhance social support and preconception care, specifically focused on hypertension, may provide an efficient approach for reducing the racial gap in preterm birth.

Good practices for the design, analysis, and interpretation of observational studies on birth spacing and perinatal health outcomes.

BACKGROUND: Meta-analyses of observational studies have shown that women with a shorter interpregnancy interval (the time from delivery to start of a subsequent pregnancy) are more likely to experience adverse pregnancy outcomes, such as preterm delivery or small for gestational age birth, than women who space their births further apart. However, the studies used to inform these estimates have methodological shortcomings. METHODS: In this commentary, we summarise the discussions of an expert workgroup describing good practices for the design, analysis, and interpretation of observational studies of interpregnancy interval and adverse perinatal health outcomes. RESULTS: We argue that inferences drawn from research in this field will be improved by careful attention to elements such as: (a) refining the research question to clarify whether the goal is to estimate a causal effect vs describe patterns of association; (b) using directed acyclic graphs to represent potential causal networks and guide the analytic plan of studies seeking to estimate causal effects; (c) assessing how miscarriages and pregnancy terminations may have influenced interpregnancy interval classifications; (d) specifying how key factors such as previous pregnancy loss, pregnancy intention, and maternal socio-economic position will be considered; and (e) examining if the association between interpregnancy interval and perinatal outcome differs by factors such as maternal age. CONCLUSION: This commentary outlines the discussions of this recent expert workgroup, and describes several suggested principles for study design and analysis that could mitigate many potential sources of bias.

Report of the Office of Population Affairs' expert work group meeting on short birth spacing and adverse pregnancy outcomes: Methodological quality of existing studies and future directions for research.

BACKGROUND: The World Health Organization (WHO) recommends that women wait at least 24 months after a livebirth before attempting a subsequent pregnancy to reduce the risk of adverse maternal, perinatal, and infant health outcomes. However, the applicability of the WHO recommendations for women in the United States is unclear, as breast feeding, nutrition, maternal age at first birth, and total fertility rate differs substantially between the United States and the low- and middle-resource countries upon which most of the evidence is based. METHODS: To inform guideline development for birth spacing specific to women in the United States, the Office of Population Affairs (OPA) convened an expert work group meeting in Washington, DC, on 14-15 September 2017 among reproductive, perinatal, paediatric, social, and public health epidemiologists; obstetrician-gynaecologists; biostatisticians; and experts in evidence synthesis related to women's health. RESULTS: Presentations and discussion topics included the methodological quality of existing studies, evaluation of the evidence for causal effects of short interpregnancy intervals on adverse perinatal and maternal health outcomes, good practices for future research, and identification of research gaps and priorities for future work. CONCLUSIONS: This report provides an overview of the presentations, discussions, and conclusions from the expert work group meeting.

Title V Maternal and Child Health Services Block Grant Priority Needs and Linked Performance Measures: Current Patterns and Trends (2000-2015).

Objective As part of the Title V Maternal and Child Health (MCH) Services Block Grant, administered by the Health Resources and Services Administration's (HRSA's) Maternal and Child Health Bureau (MCHB), states are required to conduct a comprehensive needs assessment identifying MCH priorities every 5 years. The most current needs assessment (2015) occurred after a transformation of the program, in which a new performance measurement framework was created. This analysis examined current patterns and trends in state MCH priorities and selected performance measures to identify changing needs and inform technical support. Methods Multiple coders categorized: (1) state priority needs from 2000 to 2015 into focus areas and subcategories for examination of current, diminishing, and emerging needs; and (2) the selection of linked national and state performance measures in 2015 for all 59 states and jurisdictions. Results Between 2000 and 2015, the proportion of states with a need around pre- and inter-conception care increased from 19% to 66%. More states had needs in the breastfeeding subcategory (42%) compared with 20% of states or less in previous years. Fewer states had needs around data capacity than in past years. Emerging needs included supporting families/relationships. The most commonly selected national performance measures (NPMs) were around breastfeeding and well-woman visits. The state performance measures (SPMs) analysis also emphasized assets, with measures around community/context and positive development. Teen births and postpartum depression were areas where multiple states had SPMs. Conclusions for practice Increasing and emerging needs may help to inform technical assistance and future national measures for the Title V program.