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.

Rapid detection and response to infectious disease outbreaks requires a robust surveillance system with a sufficient number of trained public health workforce personnel. The Frontline Field Epidemiology Training Program (Frontline) is a focused 3-month program targeting local ministries of health to strengthen local disease surveillance and reporting capacities. Limited literature exists on the impact of Frontline graduates on disease surveillance completeness and timeliness reporting. Using routinely collected Ministry of Health data, we mapped the distribution of graduates between 2014 and 2017 across 47 Kenyan counties. Completeness was defined as the proportion of complete reports received from health facilities in a county compared with the total number of health facilities in that county. Timeliness was defined as the proportion of health facilities submitting surveillance reports on time to the county. Using a panel analysis and controlling for county-fixed effects, we evaluated the relationship between the number of Frontline graduates and priority disease reporting of measles. We found that Frontline training was correlated with improved completeness and timeliness of weekly reporting for priority diseases. The number of Frontline graduates increased by 700%, from 57 graduates in 2014 to 456 graduates in 2017. The annual average rates of reporting completeness increased from 0.8% in 2014 to 55.1% in 2017. The annual average timeliness reporting rates increased from 0.1% in 2014 to 40.5% in 2017. These findings demonstrate how global health security implementation progress in workforce development may influence surveillance and disease reporting.

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-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 7,565 randomly selected children ages 3-5 years. RESULTS: In 2016, 42.2% of children ages 3-5 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 (i.e., 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 four states were significantly different from the U.S. overall. CONCLUSIONS: Based on this pilot measure, only about four in ten US children ages 3-5 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.

Stunting (low height for age) affects approximately one-quarter of children aged < 5 years worldwide. Given the limited impact of current interventions for stunting, new multisectoral evidence-based approaches are needed to decrease the burden of stunting in low- and middle-income countries (LMICs). Recognizing that the health of people, animals, and the environment are connected, we present the rationale and research agenda for considering a One Health approach to child stunting. We contend that a One Health strategy may uncover new approaches to tackling child stunting by addressing several interdependent factors that prevent children from thriving in LMICs, and that coordinated interventions among humans, animals, and environmental health sectors may have a synergistic effect in stunting reduction.

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 75 037 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.

The Safe Water and AIDS Project (SWAP), a non-governmental organization in western Kenya, opened kiosks run as businesses by community health promoters (CHPs) to increase access to health products among poor rural families. We conducted a baseline survey in 2014 before kiosks opened, and a post-intervention follow-up in 2016, enrolling 1,517 households with children <18 months old. From baseline to follow-up, we observed increases in reported exposure to the SWAP program (311%, p = 0.01) and reported purchases of any SWAP product (310%, p < 0.01). The percent of households with confirmed water treatment (detectable free chlorine residual (FCR) >0.2 mg/ml) was similar from baseline to follow-up (7% vs. 8%, p = 0.57). The odds of reported diarrhea in children decreased from baseline to follow-up (odds ratios or OR: 0.77, 95% CI: 0.640.93) and households with detectable FCR had lower odds of diarrhea (OR: 0.53, 95% CI: 0.340.83). Focus group discussions with CHPs suggested that high product prices, lack of affordability, and expectations that products should be free contributed to low sales. In conclusion, modest reported increases in SWAP exposure and product sales in the target population were insufficient to impact health, but children in households confirmed to chlorinate their water had decreased diarrhea.

Background: Severe maternal morbidity (SMM) during hospitalizations for deliveries affects more than 50 000 U.S. women annually, with risks for long-term morbidity and immediate health care costs more than double that of unaffected deliveries (1, 2). Women in rural areas face greater barriers to preventive and specialty health care services, including limited provider availability, longer distances to care, and financial constraints (3), which may contribute to adverse obstetric outcomes (4) and higher costs during delivery hospitalizations than their urban counterparts. A previous study found that rural hospitals incurred significantly higher average costs for low-risk deliveries, by nearly $500, compared with urban hospitals (5). It is unclear whether this finding reflects patient residence versus facility location only and whether it applies to the broader population of deliveries, including those affected by SMM. To address this literature gap, this study compares delivery costs between rural and urban residents with and without SMM, with adjustment for other sociodemographic and facility characteristics.

BACKGROUND: Antenatal care (ANC) and delivery by skilled providers have been well recognized as effective strategies to prevent maternal and neonatal mortality. ANC and delivery services at health facilities, however, have been underutilized in Kenya. One potential strategy to increase the demand for ANC services is to provide health interventions as incentives for pregnant women. In 2013, an integrated ANC program was implemented in western Kenya to promote ANC visits by addressing both supply- and demand-side factors. Supply-side interventions included nurse training and supplies for obstetric emergencies and neonatal resuscitation. Demand-side interventions included SMS text messages with appointment reminders and educational contents, group education sessions, and vouchers to purchase health products. METHODS: To explore pregnant mothers' experiences with the intervention, ANC visits, and delivery, we conducted focus group discussions (FGDs) at pre- and post-intervention. A total of 19 FGDs were held with pregnant mothers, nurses, and community health workers (CHWs) during the two assessment periods. We performed thematic analyses to highlight study participants' perceptions and experiences. RESULTS: FGD data revealed that pregnant women perceived the risks of home-based delivery, recognized the benefits of facility-based delivery, and were motivated by the incentives to seek care despite barriers to care that included poverty, lack of transport, and poor treatment by nurses. Nurses also perceived the value of incentives to attract women to care but described obstacles to providing health care such as overwork, low pay, inadequate supplies and equipment, and insufficient staff. CHWs identified the utility and limitations of text messages for health education. CONCLUSIONS: Future interventions should ensure that adequate workforce, training, and supplies are in place to respond to increased demand for maternal and child health services stimulated by incentive programs.

Water, sanitation, and hygiene (WaSH) are foundational public health interventions for infectious disease control. Renewed efforts to end open defecation and provide universal access to safe drinking water, sanitation, and hygiene by 2030 are being enacted through the Sustainable Development Goals. However, results from clinical trials1, 2, 3 question the efficacy of conventional rural WaSH approaches in low-income and middle-income countries (LMICs). Randomised trials in Bangladesh,1 Kenya,2 and Zimbabwe,3 which introduced household pit latrines, hand-washing with soap, and point-of-use water chlorination, found no effect on child growth, and two of the three trials found no reductions in diarrhoea in children. We have, therefore, called for transformative WaSH approaches,4 to more effectively reduce pathogen burden and promote child health and growth in LMICs. However, currently, it remains uncertain what transformative WaSH entails.

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.

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 ( approximately 10-20 percentage points) than receipt of advice ( approximately 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.

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.

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.

The Global Health Security Agenda (GHSA), a partnership of nations, international organizations, and civil society, was launched in 2014 with a mission to build countries' capacities to respond to infectious disease threats and to foster global compliance with the International Health Regulations (IHR 2005). The US Centers for Disease Control and Prevention (CDC) assists partner nations to improve IHR 2005 capacities and achieve GHSA targets. To assess progress through these CDC-supported efforts, we analyzed country activity reports dating from April 2015 through March 2017. Our analysis shows that CDC helped 17 Phase I countries achieve 675 major GHSA accomplishments, particularly in the cross-cutting areas of public health surveillance, laboratory systems, workforce development, and emergency response management. CDC's engagement has been critical to these accomplishments, but sustained support is needed until countries attain IHR 2005 capacities, thereby fostering national and regional health protection and ensuring a world safer and more secure from global health threats.

BACKGROUND: Maternal mortality ratios (MMR) appear to have increased in the United States over the last decade. Three potential contributing factors are: 1) a shifting maternal age distribution, 2) changes in age-specific MMR, and 3) the addition of a checkbox indicating recent pregnancy on the death certificate. OBJECTIVE: Determine the contribution of rising maternal age on changes in MMR from 1978-2012, and estimate the contribution of the pregnancy checkbox on increases in MMR over the last decade. STUDY DESIGN: Kitagawa decomposition analyses were conducted to partition the maternal age contribution to the MMR increase into two components: changes due to a shifting maternal age distribution, and changes due to higher age-specific mortality ratios. We used National Vital Statistics System (NVSS) natality and mortality data. The following five-year groupings were used: 1978-1982, 1988-1992, 1998-2002, and 2008-2012. Changes in age-specific MMRs among states that adopted the standard pregnancy checkbox onto their death certificate before 2008 (n=23) were compared with states that had not adopted the standard pregnancy checkbox on their death certificate by the end of 2012 (n=11) to estimate the percentage increase in the MMR due to the pregnancy checkbox. RESULTS: Overall U.S. MMRs for 1978-1982, 1988-1992, and 1998-2002 were 9.0, 8.1, and 9.1 deaths per 100,000 live births, respectively. There was a modest increase in the MMR between 1998-2002 and 2008-2012 in the 11 states that had not adopted the standard pregnancy checkbox on their death certificate by the end of 2012 (8.6 and 9.9 deaths per 100,000 respectively). However, the MMR more than doubled between 1998-2002 and 2008-2012 in the 23 states that adopted the standard pregnancy checkbox (9.0 to 22.4); this dramatic rise was almost entirely attributable to increases in age-specific MMRs (94.9%) as opposed to increases in maternal age (5.1%), with an estimated 90% of the observed change reflecting the change in maternal death identification rather than a real change in age-specific rates alone. Of all age categories, women ages 40 and older in states that adopted the standard pregnancy checkbox had the largest increase in MMR-from 31.9 to 200.5-a relative increase of 528%, which accounted for nearly one-third of the overall increase. An estimated 28.8% of the observed change was potentially due to maternal death misclassification among women ≥40. CONCLUSION: Increasing age-specific maternal mortality seems to be contributing more heavily than a changing maternal age distribution to recent increases in MMR. In states with the standard pregnancy checkbox, the vast majority of the observed change in MMR over the last decade was estimated to be due to the pregnancy checkbox, with the greatest change in MMR occurring in women ages ≥40 years. The addition of a pregnancy checkbox on state death certificates appears to be increasing case identification, but may also be leading to maternal death misclassification, particularly for women ages ≥40 years.

BACKGROUND: Infant mortality rates (IMRs) are disproportionally high in the U.S. South; however, the proximate contributors that could inform regional action remain unclear. PURPOSE: To quantify the components of excess infant mortality in the U.S. South by maternal race/ethnicity, underlying cause of death, and gestational age. METHODS: U.S. Period Linked Birth/Infant Death Data Files 2007-2009 (analyzed in 2013) were used to compare IMRs between the South (U.S. Public Health Regions IV and VI) and all other regions combined. RESULTS: Compared to other regions, there were 1.18 excess infant deaths per 1000 live births in the South, representing about 1600 excess infant deaths annually. New Mexico and Texas did not have elevated IMRs relative to other regions; excess death rates among other states ranged from 0.62 per 1000 in Kentucky to 3.82 per 1000 in Mississippi. Racial/ethnic compositional differences, generally the greater proportion of non-Hispanic black births in the South, explained 59% of the overall regional difference; the remainder was mostly explained by higher IMRs among non-Hispanic whites. The leading causes of excess Southern infant mortality were sudden unexpected infant death (SUID; 36%, range=12% in Florida to 90% in Kentucky) and preterm-related death (22%, range= -71% in Kentucky to 51% in North Carolina). Higher rates of preterm birth, predominantly <34 weeks, accounted for most of the preterm contribution. CONCLUSIONS: To reduce excess Southern infant mortality, comprehensive strategies addressing SUID and preterm birth prevention for both non-Hispanic black and white births are needed, with state-level findings used to tailor state-specific efforts.

OBJECTIVE: We use the latest data to explore multiple dimensions of financial burden among children with special health care needs (CSHCN) and their families in 2009-2010 and changes since 2001. METHODS: Five burden indicators were assessed using the 2001 and 2009-2010 National Surveys of CSHCN: past-year health-related out-of-pocket expenses of ≥$1,000 or ≥3% of household income; perceived financial problems; changes in family employment; and >10 hours of weekly care provision/coordination. Unadjusted and adjusted prevalence estimates were used to assess burden in 2009-2010 and calculate absolute and relative measures of change since 2001. Prevalence rate ratios for each burden type in 2009-2010 compared to 2001 were estimated by logistic regression. RESULTS: Nearly half of CSHCN and their families experienced some form of burden in 2009-2010. The percentage of CSHCN living in families that paid ≥$1,000 or ≥3% of household income out of pocket for health care rose 120% and 35%, respectively, between 2001 and 2009-2010, while the prevalence of caregiving and employment burdens declined. Relative to 2001, in 2009-2010, CSHCN who were privately insured or least affected by their conditions were 1.7 times as likely to live in families that paid ≥3% of household income out of pocket, while publicly insured children were 20% less likely to do so and those most severely affected were 12% more likely to do so. CONCLUSIONS: Over the past decade, increases in financial burden and declines in employment and caregiving burdens were observed for CSHCN families. Public insurance expansions may have buffered increases in financial burden, yet disparities persist.