Based on safety and efficacy data, vaccinations are the best defense to protect persons and communities from serious vaccine-preventable diseases. The Advisory Committee on Immunization Practices recommends routine vaccination of adolescents aged 11-12 years with three vaccines including tetanus, diphtheria, and acellular pertussis vaccine; quadrivalent meningococcal conjugate vaccine; and human papillomavirus vaccine. CDC analyzed data from the 2023 National Immunization Survey-Teen for 16,658 adolescents aged 13-17 years (born during January 2005-December 2010) to assess vaccination coverage in 2023, recent trends in coverage by birth year, and trends in coverage by eligibility for the Vaccines for Children (VFC) program and birth year. In 2023, coverage with all routine vaccines recommended for adolescents was similar to coverage in 2022. Vaccination coverage among VFC-eligible adolescents was generally stable during the COVID-19 pandemic, except for a decrease in the percentage of VFC-eligible adolescents who were up to date with HPV vaccination by age 13 years among those born in 2010 compared with those born in 2007. Whereas coverage differences were found between VFC-eligible and non-VFC-eligible adolescents before the COVID-19 pandemic, coverage was similar among the most recent birth years in the survey. Providers should make strong recommendations for all routine vaccines and review adolescent vaccination records to verify if adolescents are up to date with all recommended vaccines.

BACKGROUND: We assessed human papillomavirus (HPV) vaccine effectiveness (VE) against anal HPV among men who have sex with men (MSM) in 2018-2023. METHODS: Residual anal specimens from MSM without HIV ages 18-45 years were tested for HPV. We calculated adjusted prevalence ratios (aPR) and 95% confidence intervals (CI) for associations between vaccination (≥1 dose) and quadrivalent vaccine (4vHPV)-type prevalence adjusting for city, race/ethnicity, and non-vaccine-type HPV prevalence, stratified by age group (18-26, 27-45). VE was calculated as (1-aPR)x100. RESULTS: Among 2802 persons aged 18-26, 4vHPV-type prevalence was lower in those vaccinated at age <18 (aPR=0.13, CI: 0.08-0.22, VE=87%) and those vaccinated ≥2 years before specimen collection (aPR=0.52, CI: 0.42-0.64, VE=48%), compared with unvaccinated persons. Among 3548 persons aged 27-45, 4vHPV-type prevalence was lower in those vaccinated at ages 18-26 (aPR=0.68, CI: 0.57-0.82, VE=32%) and those vaccinated ≥2 years before specimen collection (aPR=0.66, CI: 0.57-0.77, VE=33%), compared with unvaccinated persons. While we observed no VE in persons vaccinated at age >26 overall, 4vHPV-type prevalence was lower in the subgroup vaccinated ≥2 years before specimen collection (aPR=0.71, CI: 0.56-0.89, VE=29%). CONCLUSIONS: We found high VE against anal 4vHPV-type prevalence among MSM aged 18-26 who were vaccinated at age <18. Lower VE was observed among MSM ages 27-45 who were vaccinated at age 18-26 or ≥2 years before specimen collection. While ideally vaccination should be given at younger ages, vaccination can prevent some future infections in this population.

Cardiovascular conditions are significant contributors to morbidity and mortality among pregnant and postpartum women.1 | | We used data from the MarketScan Commercial Claims and Encounters database to identify women 12 to 55 years of age who delivered from 2017 to 2019. Delivery hospitalizations and cardiovascular diagnoses and procedures (ie, conditions) were identified using International Classification of Diseases-10th Revision-Clinical Modification codes. Cardiovascular conditions included acute heart failure or pulmonary edema; acute myocardial infarction; arrhythmia; conduction disorders; cardiac arrest, ventricular fibrillation, or ventricular flutter; cardiomyopathy; congenital heart and great artery defects; conversion of cardiac rhythm; endocarditis, myocarditis, or pericarditis; hypertensive heart disease; ischemic heart disease; nonrheumatic valve disorders; pulmonary heart disease; rheumatic heart disease; and other heart diseases and complications. We calculated the prevalence of hospitalizations with any cardiovascular condition in the year postpartum. Among these patients, we calculated the prevalence of cardiovascular conditions at delivery hospitalization and the frequency of postpartum hospitalizations. For postpartum hospitalizations with cardiovascular conditions, we calculated timing relative to delivery hospitalization and the prevalence (95% CI) of specific cardiovascular conditions by timing since delivery hospitalization (early postpartum [1–42 days] vs late postpartum [43–365 days]), accounting for clustering at the patient level. The data were collected and statistically deidentified. The data are also compliant with the conditions set forth in sections 164.514(a) and 164.51(b)(1)(ii) of the Health Insurance Portability and Accountability Act of 1996 Privacy Rule; therefore, approval from an Institutional Review Board was not sought.

Objective(s): To identify barriers and facilitators related to reimbursement processes, device acquisition costs, stocking, and supply of long-acting reversible contraception (LARC) from 27 jurisdictions (26 states/1 territory) participating in the Increasing Access to Contraception Learning Community from 2016 to 2018. Materials and Methods: A descriptive study using qualitative data collected through 27 semistructured key informant interviews was conducted during the final year of the learning community among all jurisdictional teams. Excerpts were extracted and coded by theme, then summarized as barriers or facilitators using implementation science methods. Results: Most jurisdictions (89%) identified barriers to reimbursement processes, device acquisition, stocking, and supply of LARC devices, and 85% of jurisdictions identified facilitators for these domains. Payment methodology challenges and lack of billing and coding processes were identified as the most common barriers to reimbursement processes. Device acquisition cost challenges and lack of delivery facility protocols for billing were the most common barriers to device acquisition, stocking, and supply of LARC. The most common facilitator of reimbursement processes was expanded payment methodology options, whereas supplemental funding for acquisition costs and protocol development were identified as the most common facilitators of device acquisition, stocking, and supply. Conclusion: Revised payment methodologies and broader health systems changes including additional funding sources and protocols for billing, stocking, and supply were used by learning community jurisdictions to address identified barriers. The learning community framework offers a forum for information exchange, peer-to-peer learning, and sharing of best practices to support jurisdictions in addressing identified barriers and facilitators affecting contraception access.

OBJECTIVE: To examine the relationship between coronavirus disease 2019 (COVID-19) diagnosis at delivery and adverse maternal health and pregnancy outcomes during pre-Delta, Delta, and Omicron variant predominance, with a focus on the time period of Omicron variant predominance. METHODS: We conducted a cross-sectional observational study with data from delivery hospitalizations in the Premier Healthcare Database from February 2020 to August 2023. The pre-Delta (February 2020-June 2021), Delta (July 2021-December 2021), and Omicron (January 2022-August 2023) periods of variant predominance were examined. Exposure to COVID-19 was identified by having a diagnostic code for COVID-19 during the delivery hospitalization. Adjusted prevalence ratios (aPRs) were calculated to compare the risks of adverse maternal and pregnancy outcomes for women with and without COVID-19 diagnoses at the time of delivery for each variant period. RESULTS: Among 2,990,973 women with delivery hospitalizations, 1.9% (n=56,618) had COVID-19 diagnoses noted at delivery admission discharge, including 26,053 during the Omicron period. Across all variant time periods, the prevalence of many adverse maternal and pregnancy outcomes during the delivery hospitalization was significantly higher for pregnant women with COVID-19 compared with pregnant women without COVID-19. In adjusted models, COVID-19 during the Omicron period was associated with significant increased risks for maternal sepsis (COVID-19: 0.4% vs no COVID-19: 0.1%; aPR 3.32, 95% CI, 2.70-4.08), acute respiratory distress syndrome (0.6% vs 0.1%; aPR 6.19, 95% CI, 5.26-7.29), shock (0.2% vs 0.1%; aPR 2.14, 95% CI, 1.62-2.84), renal failure (0.5% vs 0.2%; aPR 2.08, 95% CI, 1.73-2.49), intensive care unit admission (2.7% vs 1.7%; aPR 1.64, 95% CI, 1.52-1.77), mechanical ventilation (0.3% vs 0.1%; aPR 3.15, 95% CI, 2.52-3.93), in-hospital death (0.03% vs 0.01%; aPR 5.00, 95% CI, 2.30-10.90), stillbirth (0.7% vs 0.6%; aPR 1.17, 95% CI, 1.01-1.36), and preterm delivery (12.3% vs 9.6%; aPR 1.28, 95% CI, 1.24-1.33). CONCLUSION: Despite the possibility of some level of immunity due to previous severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, vaccination, or testing differences, risks of adverse outcomes associated with COVID-19 diagnosis at delivery remained elevated during the Omicron variant time period.

Three vaccines are routinely recommended for adolescents to prevent pertussis, meningococcal disease, and cancers caused by human papillomavirus (HPV). CDC analyzed data from the 2022 National Immunization Survey-Teen for 16,043 adolescents aged 13-17 years to assess vaccination coverage. Birth cohort analyses were conducted to assess trends in vaccination coverage by age 13 years (i.e., before the 13th birthday) and by age 14 years (i.e., before the 14th birthday) among adolescents who were due for routine vaccination before and during the COVID-19 pandemic. Cross-sectional analysis was used to assess coverage estimates among adolescents aged 13-17 years. In 2022, vaccination coverage by age 14 years among adolescents born in 2008 continued to lag that of earlier birth cohorts and varied by sociodemographic factors and access to health care compared with coverage among earlier birth cohorts. Vaccination coverage by age 13 years among adolescents born in 2009 was similar to coverage estimates obtained before the COVID-19 pandemic. Among all adolescents aged 13-17 years, 2022 vaccination coverage levels did not differ from 2021 levels; however, initiation of the HPV vaccination series decreased among those who were insured by Medicaid. Coverage with ≥1 dose of tetanus, diphtheria, and acellular pertussis vaccine and ≥1 dose meningococcal conjugate vaccine was high and stable (around 90%). Providers should review adolescent vaccination records, especially among those born in 2008 and those in populations eligible for the Vaccines for Children program, to ensure adolescents are up to date with all recommended vaccines.

INTRODUCTION: Screening for opioid misuse and treatment for opioid use disorder are critical for reducing morbidity and mortality. We sought to understand the extent of self-reported past 30-day buprenorphine use in various settings among women of reproductive age with self-reported nonmedical prescription opioid use being assessed for substance use problems. METHODS: The study collected data from individuals being assessed for substance use problems using the Addiction Severity Index-Multimedia Version in 2018-2020. We stratified the sample of 10,196 women ages 12-55 self-reporting past 30-day nonmedical prescription opioid use by buprenorphine use and setting type. We categorized setting types as: buprenorphine in specialty addiction treatment, buprenorphine in office-based opioid treatment, and diverted buprenorphine. We included each woman's first intake assessment during the study period. The study assessed number of buprenorphine products, reasons for using buprenorphine, and sources of buprenorphine procurement. The study calculated frequency of reasons for using buprenorphine to treat opioid use disorder outside of a doctor-managed treatment, overall and by race/ethnicity. RESULTS: Overall, 25.5 % of the sample used buprenorphine in specialty addiction treatment, 6.1 % used buprenorphine prescribed in office-based treatment, 21.7 % used diverted buprenorphine, and 46.7 % reported no buprenorphine use during the past 30 days. Among women who reported using buprenorphine to treat opioid use disorder, but not as part of a doctor-managed treatment, 72.3 % could not find a provider or get into a treatment program, 21.8 % did not want to be part of a program or see a provider, and 6.0 % reported both; a higher proportion of American Indian/Alaska Native women (92.1 %) reported that they could not find a provider or get into a treatment program versus non-Hispanic White (78.0 %), non-Hispanic Black (76.0 %), and Hispanic (75.0 %) women. CONCLUSIONS: Appropriate screening for nonmedical prescription opioid use to assess need for treatment with medication for opioid use disorder is important for all women of reproductive age. Our data highlight opportunities to improve treatment program accessibility and availability and support the need to increase equitable access for all women.

BACKGROUND: Observational studies have improved our understanding of the risk factors for sudden infant death syndrome, but separate examination of risk for sleep-related suffocation and unexplained infant deaths has been limited. We examined the association between unsafe infant sleep practices and sudden infant deaths (sleep-related suffocation and unexplained causes including sudden infant death syndrome). METHODS: We conducted a population-based case-control study using 2016 to 2017 Centers for Disease Control and Prevention data. Controls were liveborn infants from the Pregnancy Risk Assessment Monitoring System; cases were from the Sudden Unexpected Infant Death Case Registry. We calculated risk factor prevalence among cases and controls and crude and adjusted odds ratios. RESULTS: We included 112 sleep-related suffocation cases with 448 age-matched controls and 300 unexplained infant death cases with 1200 age-matched controls. Adjusted odds for sleep-related suffocation ranged from 18.7 (95% confidence interval [CI]: 6.8-51.3) among infants not sharing a room with their mother or caregiver to 1.9 (95% CI: 0.9-4.1) among infants with nonsupine sleep positioning. Adjusted odds for unexplained death ranged from 7.6 (95% CI: 4.7-12.2) among infants not sharing a room with their mother or caregiver to 1.6 (95% CI: 1.1-2.4) among nonsupine positioned infants. COCLUSIONS: We confirmed previously identified risk factors for unexplained infant death and independently estimated risk factors for sleep-related suffocation. Significance of associations for suffocation followed similar patterns but was of larger magnitude. This information can be used to improve messaging about safe infant sleep.

BACKGROUND: Estimates of cardiac arrest occurring during delivery guide evidence-based strategies to reduce pregnancy-related death. OBJECTIVE: To investigate rate of, maternal characteristics associated with, and survival after cardiac arrest during delivery hospitalization. DESIGN: Retrospective cohort study. SETTING: U.S. acute care hospitals, 2017 to 2019. PARTICIPANTS: Delivery hospitalizations among women aged 12 to 55 years included in the National Inpatient Sample database. MEASUREMENTS: Delivery hospitalizations, cardiac arrest, underlying medical conditions, obstetric outcomes, and severe maternal complications were identified using codes from the International Classification of Diseases, 10th Revision, Clinical Modification. Survival to hospital discharge was based on discharge disposition. RESULTS: Among 10 921 784 U.S. delivery hospitalizations, the cardiac arrest rate was 13.4 per 100 000. Of the 1465 patients who had cardiac arrest, 68.6% (95% CI, 63.2% to 74.0%) survived to hospital discharge. Cardiac arrest was more common among patients who were older, were non-Hispanic Black, had Medicare or Medicaid, or had underlying medical conditions. Acute respiratory distress syndrome was the most common co-occurring diagnosis (56.0% [CI, 50.2% to 61.7%]). Among co-occurring procedures or interventions examined, mechanical ventilation was the most common (53.2% [CI, 47.5% to 59.0%]). The rate of survival to hospital discharge after cardiac arrest was lower with co-occurring disseminated intravascular coagulation (DIC) without or with transfusion (50.0% [CI, 35.8% to 64.2%] or 54.3% [CI, 39.2% to 69.5%], respectively). LIMITATIONS: Cardiac arrests occurring outside delivery hospitalizations were not included. The temporality of arrest relative to the delivery or other maternal complications is unknown. Data do not distinguish cause of cardiac arrest, such as pregnancy-related complications or other underlying causes among pregnant women. CONCLUSION: Cardiac arrest was observed in approximately 1 in 9000 delivery hospitalizations, among which nearly 7 in 10 women survived to hospital discharge. Survival was lowest during hospitalizations with co-occurring DIC. PRIMARY FUNDING SOURCE: None.

Risk-appropriate care is a strategy to improve perinatal health outcomes by providing care to pregnant persons and infants in facilities with the personnel and services capable of meeting their health needs. The Association of State and Territorial Health Officials hosted discussions among state health officials, health agency staff, and clinicians to advance risk-appropriate care. The discussions focused on neonatal levels of care, levels of maternal care, ancillary services utilized for care of both populations including transport and telemedicine, and issues affecting provision of care such as standardization of state policies or approaches, reimbursement for services, gaps in risk-appropriate care, and equity. State-identified implementation strategies for improvement were presented. In this Perspective, we summarize current studies describing provision of risk-appropriate care in the United States, identify gaps in research, and highlight ongoing and proposed activities to address research gaps and support state health officials and clinicians.

OBJECTIVE: Describe discrepancies between facilities' self-reported level of neonatal care and Centers for Disease Control and Prevention Levels of Care Assessment Tool(SM) (CDC LOCATe(SM))-assessed level. STUDY DESIGN: CDC LOCATe(SM) data from 765 health facilities in the United States, including 17 states, one territory, one large multi-state hospital system, and one perinatal region within a state, was collected between 2016 and 2021 for this cross-sectional analysis. RESULT: Among 721 facilities that self-reported level of neonatal care, 33.1% had discrepancies between their self-reported level and their LOCATe(SM)-assessed level. Among facilities with discrepancies, 75.3% self-reported a higher level of neonatal care than their LOCATe(SM)-assessed level. The most common elements contributing to discrepancies were limited specialty and subspecialty staffing, such as neonatology or neonatal surgery. CONCLUSION: Results highlight opportunities for jurisdictions to engage with facilities, health systems, and partners about levels of neonatal care, and to collaborate to promote standardized systems of risk-appropriate care.

The number of U.S. births has been declining. There is also concern about rural obstetric units closing. To better understand the relationship between births and obstetric beds during 2000-2019, we examined changes over time in births, birth hospital distributions (i.e., hospital birth volume, ownership, and urban-rural designation), and the ratio of births to obstetric beds. We analyzed American Hospital Association Annual Survey data from 2000 to 2019. We included U.S. hospitals with at least 25 reported births during the year and at least 1 reported obstetric bed. We categorized birth volume to identify and describe hospitals with maternity services using seven categories. We calculated ratios of number of births to number of obstetric beds overall, by annual birth volume category, by three categories of hospital ownership, and by six urban-rural categories. The ratio of births to obstetric beds, which may represent need for maternity services, has stayed relatively consistent at 65 over the past two decades, despite the decline in births and changes in birth hospital distributions. The ratios were smallest in hospitals with < 250 annual births and largest in hospitals with ≥ 7000 annual births. The largest ratios of births to obstetric beds were in large metro areas and the smallest ratios were in noncore areas. At a societal level, the reduction in obstetric beds corresponds with the drop in the U.S. birth rate. However, consistency in the overall ratio can mask important differences that we could not discern, such as the impact of closures on distances to closest maternity care.

The Increasing Access to Contraception Learning Community was established to disseminate strategies and best practices to support 27 jurisdictions in the development of policies and programs to increase access to the full range of reversible contraceptives. We describe Learning Community activities and identify those that were most useful to participants. Although participation in Learning Community provided jurisdictional teams with structured activities such as virtual learning and peer networking opportunities, some teams struggled with full participation because of staffing turnover and shifts in priorities. (Am J Public Health. 2022;112(S5):S523-S527. https://doi.org/10.2105/AJPH.2022.306823).

OBJECTIVE: To examine the number of states with neonatal and maternal transport and reimbursement policies in 2019, compared with 2014. STUDY DESIGN: We conducted a systematic review of web-based, publicly available information on neonatal and maternal transport policies for each state in 2019. Information was abstracted from rules, codes, licensure regulations, and planning and program documents, then summarized within two categories: transport and reimbursement policies. RESULT: In 2019, 42 states had a policy for neonatal transport and 37 states had a policy for maternal transport, increasing by 8 and 7 states respectively. Further, 31 states had a reimbursement policy for neonatal transport and 11 states for maternal transport, increases of 1 state per category. Overall, the number of states with policies increased from 2014 to 2019. CONCLUSION: The number of state neonatal and maternal transport policies increased; these policies may support provision of care at the most risk-appropriate facilities.

OBJECTIVE: Our objective was to assess differences inpregnancy outcomes during the COVID-19 pandemic compared to the previous year. STUDY DESIGN: In a cross-sectional study of delivery hospitalizations in the Premier Healthcare Database Special COVID-19 Release, we assessed differences in selected maternal and pregnancy outcomes occurring April-December in 2019 and 2020 in the United States. RESULT: Among 663,620 deliveries occurring in 2019 and 614,093 deliveries occurring in 2020, we observed an increase in in-hospital maternal death from 2019 to 2020, which was no longer statistically significant after excluding deliveries with a COVID-19 diagnosis. Intensive care unit admission and preterm birth decreased from 2019 to 2020. There was no difference in the prevalence of most other outcomes examined. CONCLUSION: The full impact of the COVID-19 pandemic on maternal and pregnancy outcomes remains to be understood. Most outcomes investigated experienced minimal change from 2019 to 2020.

Pregnant women are at increased risk for severe COVID-19-related illness, and COVID-19 is associated with an increased risk for adverse pregnancy outcomes and maternal and neonatal complications (1-3). To date, studies assessing whether COVID-19 during pregnancy is associated with increased risk for stillbirth have yielded mixed results (2-4). Since the B.1.617.2 (Delta) variant of SARS-CoV-2 (the virus that causes COVID-19) became the predominant circulating variant,* there have been anecdotal reports of increasing rates of stillbirths in women with COVID-19.(†) CDC used the Premier Healthcare Database Special COVID-19 Release (PHD-SR), a large hospital-based administrative database,(§) to assess whether a maternal COVID-19 diagnosis documented at delivery hospitalization was associated with stillbirth during March 2020-September 2021 as well as before and during the period of Delta variant predominance in the United States (March 2020-June 2021 and July-September 2021, respectively). Among 1,249,634 deliveries during March 2020-September 2021, stillbirths were rare (8,154; 0.65%): 273 (1.26%) occurred among 21,653 deliveries to women with COVID-19 documented at the delivery hospitalization, and 7,881 (0.64%) occurred among 1,227,981 deliveries without COVID-19. The adjusted risk for stillbirth was higher in deliveries with COVID-19 compared with deliveries without COVID-19 during March 2020-September 2021 (adjusted relative risk [aRR] = 1.90; 95% CI = 1.69-2.15), including during the pre-Delta (aRR = 1.47; 95% CI = 1.27-1.71) and Delta periods (aRR = 4.04; 95% CI = 3.28-4.97). COVID-19 documented at delivery was associated with increased risk for stillbirth, with a stronger association during the period of Delta variant predominance. Implementing evidence-based COVID-19 prevention strategies, including vaccination before or during pregnancy, is critical to reducing the impact of COVID-19 on stillbirths.

OBJECTIVE: To better understand COVID-19 in newborns, we compared in-hospital illness severity indicators by COVID-19 status during birth hospitalization. STUDY DESIGN: In a retrospective cohort of newborns born March-December 2020 in the Premier Healthcare Database Special COVID-19 Release, we classified COVID-19 status and severe illness indicators using ICD-CM-10 codes, laboratory data, and billing records. Illness severity indicators were compared by COVID-19 status, stratified by gestational age and race/ethnicity. RESULT: Among 701,777 newborns, 209 had a COVID-19 diagnosis during the birth hospitalization. COVID-19 status differed significantly by race/ethnicity, gestational age, payor, and region. Late preterm/term newborns with COVID-19 had increased intensive care unit admission and sepsis risk; early preterm newborns with COVID-19 had increased risk for invasive ventilation. Risk for illness severity varied among racial/ethnic strata. CONCLUSION: From March to December 2020, COVID-19 diagnosis in newborns was rare. More clinical data are needed to describe the risk profiles of newborns with COVID-19.

In this study, hospital discharge data from the 2016-2017 Healthcare Cost and Utilization Project were analyzed to describe national and, where data were available, state-specific prevalences of chronic hypertension and pregnancy-associated hypertension at delivery hospitalization. In 2016-2017, the prevalence of chronic hypertension was 216 per 10,000 delivery hospitalizations nationwide, ranging from 125 to 400 per 10,000 delivery hospitalizations in individual states. The prevalence of pregnancy-associated hypertension was 1021 per 10,000 delivery hospitalizations nationwide, ranging from 693 to 1382 per 10,000 delivery hospitalizations in individual states. The burden of hypertensive disorders in pregnancy remains high and varies considerably by jurisdiction.

Background: During October 2016 through May 2018, a learning community was convened to focus on policies and programs to increase access to the full range of contraceptive options for women of reproductive age. The Increasing Access to Contraception (IAC) Learning Community included 27 jurisdictions, with teams from each jurisdiction consisting of state health department leaders, program staff, and provider champions. At the kick-off meeting, teams from each jurisdiction created action plans that outlined their goals. Methods: We contacted jurisdictions during May-June 2019, 1 year after the learning community ended, and invited them to complete a post-assessment of goal achievement and sustainment through semi-structured interviews over the telephone or via email. Results: Follow-up information was collected from 26 jurisdictions (96%) that participated in the learning community. The teams from these jurisdictions had created 79 total goals. At the time of the learning community closing meeting in May 2018, 35 goals (44%) had been achieved. Three jurisdictions achieved all their goals by the close of the learning community. At the time of the post-assessment 1 year later, jurisdictions were sustaining efforts for 69 (87%) of the total goals. In every jurisdiction, work on at least one goal that originated in the learning community was sustained. Conclusions: The jurisdictions that participated in the IAC Learning Community continued the work of their action plan goals 1 year after the formal closure of the learning community, indicating sustainability of the learning community activities, beyond what jurisdictions accomplished during formal participation.

OBJECTIVE: To assess consistency of state neonatal risk-appropriate care policies with the 2012 AAP policy seven years post-publication. STUDY DESIGN: Systematic, web-based review of all publicly available 2019 state neonatal levels of care policies. Information on infant risk (gestational age, birth weight), technology and equipment capabilities, and availability of specialty staffing used to define neonatal levels of care was extracted for review. RESULT: Half of states (50%) had a neonatal risk-appropriate care policy. Of those states, 88% had language consistent with AAP-defined Level I criteria, 80% with Level II, 56% with Level III, and 55% with Level IV. Comparing policies (2014-2019), consistency increased in state policies among all levels of care with the greatest increase among level IV criteria. CONCLUSION: States improved consistency of policy language by each level of care, though half of states still lack policy to provide minimum standards of care to the most vulnerable infants.

IMPORTANCE: Information on underlying conditions and severe COVID-19 illness among children is limited. OBJECTIVE: To examine the risk of severe COVID-19 illness among children associated with underlying medical conditions and medical complexity. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study included patients aged 18 years and younger with International Statistical Classification of Diseases, Tenth Revision, Clinical Modification code U07.1 (COVID-19) or B97.29 (other coronavirus) during an emergency department or inpatient encounter from March 2020 through January 2021. Data were collected from the Premier Healthcare Database Special COVID-19 Release, which included data from more than 800 US hospitals. Multivariable generalized linear models, controlling for patient and hospital characteristics, were used to estimate adjusted risk of severe COVID-19 illness associated with underlying medical conditions and medical complexity. EXPOSURES: Underlying medical conditions and medical complexity (ie, presence of complex or noncomplex chronic disease). MAIN OUTCOMES AND MEASURES: Hospitalization and severe illness when hospitalized (ie, combined outcome of intensive care unit admission, invasive mechanical ventilation, or death). RESULTS: Among 43 465 patients with COVID-19 aged 18 years or younger, the median (interquartile range) age was 12 (4-16) years, 22 943 (52.8%) were female patients, and 12 491 (28.7%) had underlying medical conditions. The most common diagnosed conditions were asthma (4416 [10.2%]), neurodevelopmental disorders (1690 [3.9%]), anxiety and fear-related disorders (1374 [3.2%]), depressive disorders (1209 [2.8%]), and obesity (1071 [2.5%]). The strongest risk factors for hospitalization were type 1 diabetes (adjusted risk ratio [aRR], 4.60; 95% CI, 3.91-5.42) and obesity (aRR, 3.07; 95% CI, 2.66-3.54), and the strongest risk factors for severe COVID-19 illness were type 1 diabetes (aRR, 2.38; 95% CI, 2.06-2.76) and cardiac and circulatory congenital anomalies (aRR, 1.72; 95% CI, 1.48-1.99). Prematurity was a risk factor for severe COVID-19 illness among children younger than 2 years (aRR, 1.83; 95% CI, 1.47-2.29). Chronic and complex chronic disease were risk factors for hospitalization, with aRRs of 2.91 (95% CI, 2.63-3.23) and 7.86 (95% CI, 6.91-8.95), respectively, as well as for severe COVID-19 illness, with aRRs of 1.95 (95% CI, 1.69-2.26) and 2.86 (95% CI, 2.47-3.32), respectively. CONCLUSIONS AND RELEVANCE: This cross-sectional study found a higher risk of severe COVID-19 illness among children with medical complexity and certain underlying conditions, such as type 1 diabetes, cardiac and circulatory congenital anomalies, and obesity. Health care practitioners could consider the potential need for close observation and cautious clinical management of children with these conditions and COVID-19.

BACKGROUND: Evidence on risk for adverse outcomes from COVID-19 among pregnant women is still emerging. We examined the association between COVID-19 at delivery and adverse pregnancy outcomes, maternal complications, and severe illness, whether these associations differ by race/ethnicity; and described discharge status by COVID-19 diagnosis and maternal complications. METHODS: Data from 703 hospitals in the Premier Healthcare Database during March-September 2020 were included. Adjusted risk ratios overall and stratified by race/ethnicity were estimated using Poisson regression with robust standard errors. Proportion not discharged home was calculated by maternal complications, stratified by COVID-19 diagnosis. RESULTS: Among 489,471 delivery hospitalizations, 6,550 (1.3%) had a COVID-19 diagnosis. In adjusted models, COVID-19 was associated with increased risk for: acute respiratory distress syndrome (adjusted risk ratio [aRR] = 34.4), death (aRR = 17.0), sepsis (aRR = 13.6), mechanical ventilation (aRR = 12.7), shock (aRR = 5.1), intensive care unit admission (aRR = 3.6), acute renal failure (aRR = 3.5), thromboembolic disease (aRR = 2.7), adverse cardiac event/outcome (aRR = 2.2) and preterm labor with preterm delivery (aRR = 1.2). Risk for any maternal complications or for any severe illness did not significantly differ by race/ethnicity. Discharge status did not differ by COVID-19; however, among women with concurrent maternal complications, a greater proportion of those with (versus without) COVID-19 were not discharged home. CONCLUSIONS: These findings emphasize the importance of implementing recommended mitigation strategies to reduce risk for SARS-CoV-2 infection and further inform counseling and clinical care for pregnant women during the COVID-19 pandemic.

OBJECTIVES: The Utah Study of Associated Risks of Stillbirth (SOARS) collects data about stillbirths that are not included in medical records or on fetal death certificates. We describe the design, methods, and survey response rate from the first year of SOARS. METHODS: The Utah Department of Health identified all Utah women who experienced a stillbirth from June 1, 2018, through May 31, 2019, via fetal death certificates and invited them to participate in SOARS. The research team based the study protocol on the Pregnancy Risk Assessment Monitoring System surveillance of women with live births and modified it to be sensitive to women's recent experience of a stillbirth. We used fetal death certificates to examine survey response rates overall and by maternal characteristics, gestational age of the fetus, and month in which the loss occurred. RESULTS: Of 288 women invited to participate in the study, 167 (58.0%) completed the survey; 149 (89.2%) responded by mail and 18 (10.8%) by telephone. A higher proportion of women who were non-Hispanic White (vs other races/ethnicities), were married (vs unmarried), and had ≥high school education (vs <high school education) responded to the survey. Differences between responders and nonresponders by maternal age, gestational age of the fetus, or month of delivery were not significant. Among responders, item nonresponse rates were low (range, 0.6%-5.4%). The question about income (4.8%) and the questions about tests offered and performed during the hospital stay had the highest item nonresponse rates. CONCLUSIONS: The response rate suggests that a mail- and telephone-based survey can be successful in collecting self-reported information about risk factors for stillbirths not currently included in medical records or fetal death certificates.

OBJECTIVE: To assess how often maternal transport preceded pregnancy-related deaths and describe contributing factors and recommendations related to maternal transport. STUDY DESIGN: We used Ohio maternal mortality review committee (MMRC) data from 2010 to 2016. We defined two transport types among pregnancy-related deaths: field to hospital and hospital to hospital. We examined deaths determined by the MMRC to be potentially preventable by transfer to a higher level of care and described contributing factors and recommendations. RESULT: Among 136 pregnancy-related deaths, 56 (41.2%) were transported. Among 15 deaths identified as potentially preventable by transfer to a higher level of care, 5 were transported between hospitals. Contributing factors for 14 deaths included inadequate response by Emergency Medical Services and lack of transport to a higher level of care. CONCLUSION: Our results suggest opportunities for examining modification and adherence to existing protocols. Improving risk-appropriate maternal care systems is important for preventing pregnancy-related deaths.

Coronavirus disease 2019 (COVID-19) is a complex clinical illness with potential complications that might require ongoing clinical care (1-3). Few studies have investigated discharge patterns and hospital readmissions among large groups of patients after an initial COVID-19 hospitalization (4-7). Using electronic health record and administrative data from the Premier Healthcare Database,* CDC assessed patterns of hospital discharge, readmission, and demographic and clinical characteristics associated with hospital readmission after a patient's initial COVID-19 hospitalization (index hospitalization). Among 126,137 unique patients with an index COVID-19 admission during March-July 2020, 15% died during the index hospitalization. Among the 106,543 (85%) surviving patients, 9% (9,504) were readmitted to the same hospital within 2 months of discharge through August 2020. More than a single readmission occurred among 1.6% of patients discharged after the index hospitalization. Readmissions occurred more often among patients discharged to a skilled nursing facility (SNF) (15%) or those needing home health care (12%) than among patients discharged to home or self-care (7%). The odds of hospital readmission increased with age among persons aged ≥65 years, presence of certain chronic conditions, hospitalization within the 3 months preceding the index hospitalization, and if discharge from the index hospitalization was to a SNF or to home with health care assistance. These results support recent analyses that found chronic conditions to be significantly associated with hospital readmission (6,7) and could be explained by the complications of underlying conditions in the presence of COVID-19 (8), COVID-19 sequelae (3), or indirect effects of the COVID-19 pandemic (9). Understanding the frequency of, and risk factors for, readmission can inform clinical practice, discharge disposition decisions, and public health priorities such as health care planning to ensure availability of resources needed for acute and follow-up care of COVID-19 patients. With the recent increases in cases nationwide, hospital planning can account for these increasing numbers along with the potential for at least 9% of patients to be readmitted, requiring additional beds and resources.

CDC, the Food and Drug Administration, state and local health departments, and other public health and clinical stakeholders are investigating a national outbreak of electronic-cigarette (e-cigarette), or vaping, product use-associated lung injury (EVALI) (1). As of October 22, 2019, 49 states, the District of Columbia (DC), and the U.S. Virgin Islands have reported 1,604 cases of EVALI to CDC, including 34 (2.1%) EVALI-associated deaths in 24 states. Based on data collected as of October 15, 2019, this report updates data on patient characteristics and substances used in e-cigarette, or vaping, products (2) and describes characteristics of EVALI-associated deaths. The median age of EVALI patients who survived was 23 years, and the median age of EVALI patients who died was 45 years. Among 867 (54%) EVALI patients with available data on use of specific e-cigarette, or vaping, products in the 3 months preceding symptom onset, 86% reported any use of tetrahydrocannabinol (THC)-containing products, 64% reported any use of nicotine-containing products, and 52% reported use of both. Exclusive use of THC-containing products was reported by 34% of patients and exclusive use of nicotine-containing products by 11%, and for 2% of patients, no use of either THC- or nicotine-containing products was reported. Among 19 EVALI patients who died and for whom substance use data were available, 84% reported any use of THC-containing products, including 63% who reported exclusive use of THC-containing products; 37% reported any use of nicotine-containing products, including 16% who reported exclusive use of nicotine-containing products. To date, no single compound or ingredient used in e-cigarette, or vaping, products has emerged as the cause of EVALI, and there might be more than one cause. Because most patients reported using THC-containing products before symptom onset, CDC recommends that persons should not use e-cigarette, or vaping, products that contain THC. In addition, because the specific compound or ingredient causing lung injury is not yet known, and while the investigation continues, persons should consider refraining from the use of all e-cigarette, or vaping, products.

Electronic cigarettes (e-cigarettes), also called vapes, e-hookas, vape pens, tank systems, mods, and electronic nicotine delivery systems (ENDS), are electronic devices that produce an aerosol by heating a liquid typically containing nicotine, flavorings, and other additives; users inhale this aerosol into their lungs (1). E-cigarettes also can be used to deliver tetrahydrocannabinol (THC), the principal psychoactive component of cannabis (1). Use of e-cigarettes is commonly called vaping. Lung injury associated with e-cigarette use, or vaping, has recently been reported in most states (2-4). CDC, the Food and Drug Administration (FDA), state and local health departments, and others are investigating this outbreak. This report provides data on patterns of the outbreak and characteristics of patients, including sex, age, and selected substances used in e-cigarette, or vaping, products reported to CDC as part of this ongoing multistate investigation. As of September 24, 2019, 46 state health departments and one territorial health department had reported 805 patients with cases of lung injury associated with use of e-cigarette, or vaping, products to CDC. Sixty-nine percent of patients were males, and the median age was 23 years (range = 13-72 years). To date, 12 deaths have been confirmed in 10 states. Among 514 patients with information on substances used in e-cigarettes, or vaping products, in the 30 days preceding symptom onset, 76.9% reported using THC-containing products, and 56.8% reported using nicotine-containing products; 36.0% reported exclusive use of THC-containing products, and 16.0% reported exclusive use of nicotine-containing products. The specific chemical exposure(s) causing the outbreak is currently unknown. While this investigation is ongoing, CDC recommends that persons consider refraining from using e-cigarette, or vaping, products, particularly those containing THC. CDC will continue to work in collaboration with FDA and state and local partners to investigate cases and advise and alert the public on the investigation as additional information becomes available.

OBJECTIVES:: Implementation science provides useful tools for guiding and evaluating the integration of evidence-based interventions with standard practice. The objective of our study was to demonstrate the usefulness of applying an implementation science framework-the Consolidated Framework for Implementation Research (CFIR)-to increase understanding of implementation of complex statewide public health initiatives, using the example of Medicaid immediate postpartum long-acting reversible contraception (LARC) policies. METHODS:: We conducted semistructured telephone interviews with the 13 state teams participating in the Immediate Postpartum LARC Learning Community. We asked teams to describe the implementation facilitators, barriers, and strategies in 8 focus areas of the Learning Community. We audio-recorded and transcribed interviews and then coded each interview according to the domains and constructs (ie, theoretical concepts) of the CFIR. RESULTS:: Cosmopolitanism (ie, networking with external organizations) was the most frequently coded construct of the framework. A related construct was networks and communications (ie, the nature and quality of social networks and formal and informal communications in an organization). Within the construct of cost, state teams identified barriers that were often unable to be overcome. Trialability (ie, ability to test the intervention on a small scale) and engaging champions (ie, attracting and involving persons who dedicate themselves to supporting the intervention in an organization) were among the most salient constructs of the framework and were the sources of many implementation strategies. CONCLUSIONS:: State leaders and program staff members may benefit from considering the CFIR domains and constructs in the planning, implementation, and evaluation of complex statewide public health initiatives.

BACKGROUND: In 2014, the Association of State and Territorial Health Officials (ASTHO) convened a multistate Immediate Postpartum Long-Acting Reversible Contraception (LARC) Learning Community to facilitate cross-state collaboration in implementation of policies. The Learning Community model was based on systems change, through multistate peer-to-peer learning and strategy-sharing activities. This study uses interview data from 13 participating state teams to identify state-implemented strategies within defined domains that support policy implementation. MATERIALS AND METHODS: Semistructured interviews were conducted by the ASTHO team with state team members participating in the Learning Community. Interviews were transcribed and implementation strategies were coded. Using qualitative analysis, the state-reported domains with the most strategies were identified. RESULTS: The five leading domains included the following: stakeholder partnerships; provider training; outreach; payment streams/reimbursement; and data, monitoring and evaluation. Stakeholder partnership was identified as a cross-cutting domain. Every state team used strategies for stakeholder partnerships and provider training, 12 reported planning or engaging in outreach efforts, 11 addressed provider and facility reimbursement, and 10 implemented data evaluation strategies. All states leveraged partnerships to support information sharing, identify provider champions, and pilot immediate postpartum LARC programs in select delivery facilities. CONCLUSIONS: Implementing immediate postpartum LARC policies in states involves leveraging partnerships to develop and implement strategies. Identifying champions, piloting programs, and collecting facility-level evaluation data are scalable activities that may strengthen state efforts to improve access to immediate postpartum LARC, a public health service for preventing short interbirth intervals and unintended pregnancy among postpartum women.

BACKGROUND: Implementation strategies are imperative for the successful adoption and sustainability of complex evidence-based public health practices. Creating a learning collaborative is one strategy that was part of a recently published compilation of implementation strategy terms and definitions. In partnership with the Centers for Disease Control and Prevention and other partner agencies, the Association of State and Territorial Health Officials recently convened a multi-state Learning Community to support cross-state collaboration and provide technical assistance for improving state capacity to increase access to long-acting reversible contraception (LARC) in the immediate postpartum period, an evidence-based practice with the potential for reducing unintended pregnancy and improving maternal and child health outcomes. During 2015-2016, the Learning Community included multi-disciplinary, multi-agency teams of state health officials, payers, clinicians, and health department staff from 13 states. This qualitative study was conducted to better understand the successes, challenges, and strategies that the 13 US states in the Learning Community used for increasing access to immediate postpartum LARC. METHODS: We conducted telephone interviews with each team in the Learning Community. Interviews were semi-structured and organized by the eight domains of the Learning Community. We coded transcribed interviews for facilitators, barriers, and implementation strategies, using a recent compilation of expert-defined implementation strategies as a foundation for coding the latter. RESULTS: Data analysis showed three ways that the activities of the Learning Community helped in policy implementation work: structure and accountability, validity, and preparing for potential challenges and opportunities. Further, the qualitative data demonstrated that the Learning Community integrated six other implementation strategies from the literature: organize clinician implementation team meetings, conduct educational meetings, facilitation, promote network weaving, provide ongoing consultation, and distribute educational materials. CONCLUSIONS: Convening a multi-state learning collaborative is a promising approach for facilitating the implementation of new reimbursement policies for evidence-based practices complicated by systems challenges. By integrating several implementation strategies, the Learning Community serves as a meta-strategy for supporting implementation.