Objectives: To (1) determine associations between maternal risk conditions and severe adverse outcomes that may benefit from risk-appropriate care and (2) assess whether associations between risk conditions and outcomes vary by level of maternal care (LoMC). Methods: We used the 2017-2019 National Inpatient Sample (NIS) to calculate associations between maternal risk conditions and severe adverse outcomes. Risk conditions included severe preeclampsia, placenta accreta spectrum (PAS) conditions, and cardiac conditions. Outcomes included disseminated intravascular coagulation (DIC) with blood products transfusion or shock, pulmonary edema or acute respiratory distress syndrome (ARDS), stroke, acute renal failure, and a composite cardiac outcome. Then we used 2019 delivery hospitalization data from five states linked to hospital LoMC. We calculated associations between risk conditions and outcomes overall and stratified by LoMC and assessed for effect modification by LoMC. Results: We found positive measures of association between risk conditions and outcomes. Among patients with severe preeclampsia or PAS, the magnitudes of the associations with DIC with blood products transfusion or shock, pulmonary edema or ARDS, and acute renal failure were lower in Level III/IV compared with <Level III facilities. Among patients with cardiac conditions, the magnitudes of the associations with these outcomes, along with stroke, were also lower in Level III/IV compared with <Level III facilities. The proportion of patients with risk conditions that delivered in <Level III facilities was 19.8-46.8%. Conclusions: Odds of severe adverse outcomes among women with selected risk conditions were lower for births occurring at higher-level facilities, supporting the benefit of risk-appropriate care.

Objective: To (1) estimate the lifetime prevalence of suspected and diagnosed traumatic brain injury (TBI) based on parent report overall and select sociodemographic characteristics; and (2) describe differences in prevalence of health conditions and health-related risk factors by whether a child had a lifetime history of diagnosed TBI. Study design: We analyzed data from the 2020 National Survey of Children's Health, a cross-sectional address-based survey of US households. A categorical variable was created on the basis of parent responses to 3 questions inquiring about their suspicion of their child having a brain injury, if they sought medical care, and if the health care provider provided a diagnosis. Parents also were asked to report on their child's additional health conditions, functional indicators, school and social factors, and health care access and service use. Results: The prevalence of lifetime diagnosed TBI was 4.2% (95% CI 3.8-4.5). Children with a parent-reported lifetime history of diagnosed TBI were more likely to have a variety of health conditions, special health care needs, disabilities, activity limitations, missed days of school, and unmet care coordination needs, compared with those without a history. However, they were more likely to have a usual source of sick care and to receive more health-related services. Conclusions: For school-aged children, a history of TBI is associated with parent-reported health needs and conditions, as well as missed days from school. It is particularly important for parents to seek care when they suspect their child has experienced a TBI to receive a diagnosis and monitor the impacts of the TBI. © 2024

BACKGROUND: Data modernization efforts to strengthen surveillance capacity could help assess trends in use of preventive services and diagnoses of new chronic disease during the COVID-19 pandemic, which broadly disrupted health care access. METHODS: This cross-sectional study examined electronic health record data from US adults aged 21 to 79 years in a large national research network (PCORnet), to describe use of 8 preventive health services (N = 30,783,825 patients) and new diagnoses of 9 chronic diseases (N = 31,588,222 patients) during 2018 through 2022. Joinpoint regression assessed significant trends, and health debt was calculated comparing 2020 through 2022 volume to prepandemic (2018 and 2019) levels. RESULTS: From 2018 to 2022, use of some preventive services increased (hemoglobin A(1c) and lung computed tomography, both P < .05), others remained consistent (lipid testing, wellness visits, mammograms, Papanicolaou tests or human papillomavirus tests, stool-based screening), and colonoscopies or sigmoidoscopies declined (P < .01). Annual new chronic disease diagnoses were mostly stable (6% hypertension; 4% to 5% cholesterol; 4% diabetes; 1% colonic adenoma; 0.1% colorectal cancer; among women, 0.5% breast cancer), although some declined (lung cancer, cervical intraepithelial neoplasia or carcinoma in situ, cervical cancer, all P < .05). The pandemic resulted in health debt, because use of most preventive services and new diagnoses of chronic disease were less than expected during 2020; these partially rebounded in subsequent years. Colorectal screening and colonic adenoma detection by age group aligned with screening recommendation age changes during this period. CONCLUSION: Among over 30 million patients receiving care during 2018 through 2022, use of preventive services and new diagnoses of chronic disease declined in 2020 and then rebounded, with some remaining health debt. These data highlight opportunities to augment traditional surveillance with EHR-based data.

BACKGROUND: Children aged 0-4 years have the highest rate of emergency department (ED) visits for traumatic brain injury (TBI); falls are the leading cause. Infants younger than 2 years are more likely to sustain a fractured skull after a fall. OBJECTIVE: This study examined caregiver actions and products associated with ED visits for fall-related fractured skulls in infants aged 0-4 months. METHODS: Data were analyzed from the 2001-2017 National Electronic Injury Surveillance System-All Injury Program. Case narratives of infants aged 0-4 months who visited an ED for a fall-related skull fracture were examined to code caregiver actions preceding the fall. Product codes determined fall location and product type involved (e.g., flooring, bed, or stairs). All national estimates were weighted. RESULTS: There were more than 27,000 ED visits (weighted estimate) of infants aged 0-4 months for a nonfatal fall-related fractured skull between 2001 and 2017. Most were younger than 2 months (46.7%) and male (54.4%). Falls occurred primarily in the home (69.9%) and required hospitalization (76.4%). Primary caregiver actions coded involved placing (58.6%), dropping (22.7%), and carrying an infant (16.6%). Floor surfaces were the most common product (mentioned in 24.0% of the cases). CONCLUSIONS: Fall-related fractured skulls are a health and developmental concern for infants, highlighting the importance of a comprehensive assessment at the time of the injury to better understand adult actions. Findings indicated the need to develop prevention messages that include safe carrying and placement of infants.

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: Current methods used to measure incidence of traumatic brain injury (TBI) underestimate its true public health burden. The use of self-report surveys may be an approach to improve these estimates. An important step in public health surveillance is to define a public health problem using a case definition. The purpose of this article is to outline the process that the Centers for Disease Control and Prevention undertook to refine a TBI case definition to be used in surveillance using a self-report survey. SETTING: Survey. PARTICIPANTS: A total of 10 030 adults participated via a random digit-dial telephone survey from September 2018 to September 2019. MAIN MEASURES: Respondents were asked whether they had sustained a hit to the head in the preceding 12 months and whether they experienced a series of 12 signs and symptoms as a result of this injury. DESIGN: Head injuries with 1 or more signs/symptoms reported were initially categorized into a 3-tiered TBI case definition (probable TBI, possible TBI, and delayed possible TBI), corresponding to the level of certainty that a TBI occurred. Placement in a tier was compared with a range of severity measures (whether medical evaluation was sought, time to symptom resolution, self-rated social and work functioning); case definition tiers were then modified in a stepwise fashion to maximize differences in severity between tiers. RESULTS: There were statistically significant differences in the severity measure between cases in the probable and possible TBI tiers but not between other tiers. Timing of symptom onset did not meaningfully differentiate between cases on severity measures; therefore, the delayed possible tier was eliminated, resulting in 2 tiers: probable and possible TBI. CONCLUSION: The 2-tiered TBI case definition that was derived from this analysis can be used in future surveillance efforts to differentiate cases by certainty and from noncases for the purpose of reporting TBI prevalence and incidence estimates. The refined case definition can help researchers increase the confidence they have in reporting survey respondents' self-reported TBIs as well as provide them with the flexibility to report an expansive (probable + possible TBI) or more conservative (probable TBI only) estimate of TBI prevalence.

BACKGROUND: Severe maternal morbidity (SMM) is broadly defined as an unexpected and potentially life-threatening event associated with labor and delivery. The Centers for Disease Control and Prevention (CDC) produced 21 different indicators based on International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) hospital diagnostic and procedure codes to identify cases of SMM. OBJECTIVES: To examine existing SMM indicators and determine which indicators identified the most in-hospital mortality at delivery hospitalization. METHODS: Data from the 1993-2015 and 2017-2019 Healthcare Cost and Utilization Project's National Inpatient Sample were used to report SMM indicator-specific prevalences, in-hospital mortality rates, and population attributable fractions (PAF) of mortality. We hierarchically ranked indicators by their overall PAF of in-hospital mortality. Predictive modeling determined if SMM prevalence remained comparable after transition to ICD-10-CM coding. RESULTS: The study population consisted of 18,198,934 hospitalizations representing 87,864,173 US delivery hospitalizations. The 15 top ranked indicators identified 80% of in-hospital mortality; the proportion identified by the remaining indicators was negligible (2%). The top 15 indicators were: restoration of cardiac rhythm; cardiac arrest; mechanical ventilation; tracheostomy; amniotic fluid embolism; aneurysm; acute respiratory distress syndrome; acute myocardial infarction; shock; thromboembolism, pulmonary embolism; cerebrovascular disorders; sepsis; both DIC and blood transfusion; acute renal failure; and hysterectomy. The overall prevalence of the top 15 ranked SMM indicators (~22,000 SMM cases per year) was comparable after transition to ICD-10-CM coding. CONCLUSIONS: We determined the 15 indicators that identified the most in-hospital mortality at delivery hospitalization in the US. Continued testing of SMM indicators can improve measurement and surveillance of the most severe maternal complications at the population level.

INTRODUCTION: Maternal deaths increased in the United States during 2018-2021, with documented racial disparities. Respectful maternity care is a component of quality care that includes preventing harm and mistreatment, engaging in effective communication, and providing care equitably. Improving respectful maternity care can be part of multilevel strategies to reduce pregnancy-related deaths. METHODS: CDC analyzed data from the PN View Moms survey administered during April 24-30, 2023, to examine the following components of respectful care: 1) experiences of mistreatment (e.g., violations of physical privacy, ignoring requests for help, or verbal abuse), 2) discrimination (e.g., because of race, ethnicity or skin color; age; or weight), and 3) reasons for holding back from communicating questions or concerns during maternity (pregnancy or delivery) care. RESULTS: Among U.S. mothers with children aged <18 years, 20% reported mistreatment while receiving maternity care for their youngest child. Approximately 30% of Black, Hispanic, and multiracial respondents and approximately 30% of respondents with public insurance or no insurance reported mistreatment. Discrimination during the delivery of maternity care was reported by 29% of respondents. Approximately 40% of Black, Hispanic, and multiracial respondents reported discrimination, and approximately 45% percent of all respondents reported holding back from asking questions or discussing concerns with their provider. CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: Approximately one in five women reported mistreatment during maternity care. Implementing quality improvement initiatives and provider training to encourage a culture of respectful maternity care, encouraging patients to ask questions and share concerns, and working with communities are strategies to improve respectful maternity care.

BACKGROUND: In Oregon in 2019, only 261 students were eligible for special education under the traumatic brain injury (TBI) category. Many students with TBIs are not treated by a medical provider, so the requirement for a medical statement could prevent eligible youth from receiving special education services. OBJECTIVE: This study investigated barriers to using a medical statement to establish special education eligibility for TBI, support for using a guided credible history interview (GCHI), and training needs around GCHI. RESULTS: Among participants, 84% reported difficulty obtaining a medical statement for TBI eligibility determination, and 87% favored the GCHI as an alternative, though they reported a need for training in TBI and GCHI. CONCLUSION: The results support the use of GCHI to establish special education eligibility for TBI and informed Oregon's addition of GCHI to TBI special education eligibility determination.

Although there is no published analysis of surnames and given names used in Sierra Leone, certain names are common and identical names are frequently encountered. This makes disease tracking and contact tracing difficult. During the Ebola outbreak in 2014-2016, deficiencies in public health information systems in Sierra Leone exacerbated data collection difficulties. The study objective was to examine frequency of names recorded in the Viral Hemorrhagic Fever database (VHF) component of the Sierra Leone Ebola database (SLED). First names and surnames were standardized by a Sierra Leonean linguist. Frequencies of standardized first names, surnames, full names, and initials were analyzed. The most frequent surname was used by 18.2% of VHF records and the most frequent 20 surnames accounted for 74.1%. The most frequent male first name accounted for 5.5% of VHF records and the most frequent female first name for 4.6%. The 20 most frequent full names accounted for 12.4% of records, and the most frequent initials were used in 7.3% of VHF records. A limited number of names are used in Sierra Leone, which poses a challenge to large public health responses. Algorithms that address inconsistent spelling could be used to improve computer-based databases. Databases must also use variables other than name for identification. The lessons learned in this analysis can assist other investigations, particularly those requiring contact tracing to limit disease spread. © Charles Alpren et al.

INTRODUCTION: More information is needed to understand the clinical epidemiology of youth hospitalized with diabetes and COVID-19. We describe the demographic and clinical characteristics of patients <21years old hospitalized with COVID-19 and either Type 1 or Type 2 Diabetes Mellitus (T1DM or T2DM) during peak incidence of SARS-CoV-2 infection with the B.1.617.2 (Delta) variant. METHODS: This is a descriptive sub-analysis of a retrospective chart review of patients aged <21years hospitalized with COVID-19 in six US children's hospitals during July-August 2021. Patients with COVID-19 and either newly diagnosed or known T1DM or T2DM were described using originally collected data and diabetes-related data specifically collected on these patients. RESULTS: Of the 58 patients hospitalized with COVID-19 and diabetes, 34 had T1DM and 24 had T2DM. Of those with T1DM and T2DM, 26% (9/34) and 33% (8/24), respectively, were newly diagnosed. Among those >12years old and eligible for COVID-19 vaccination, 93% were unvaccinated (42/45). Among patients with T1DM, 88% had diabetic ketoacidosis (DKA) and 6% had COVID-19 pneumonia; of those with T2DM, 46% had DKA and 58% had COVID-19 pneumonia. Of those with T1DM or T2DM, 59% and 46%, respectively, required ICU admission. CONCLUSION: Our findings highlight the importance of considering diabetes in the evaluation of youth presenting with COVID-19; the challenges of managing young patients who present with both COVID-19 and diabetes, particularly T2DM; and the importance of preventive actions like COVID-19 vaccination to prevent severe illness among those eligible with both COVID-19 and diabetes. This article is protected by copyright. All rights reserved.

OBJECTIVES: To describe COVID-19-related pediatric hospitalizations during a period of B.1.617.2 (Delta) variant predominance and to determine age-specific factors associated with severe illness. PATIENTS AND METHODS: We abstracted data from medical charts to conduct a cross-sectional study of patients aged <21 years hospitalized at 6 US children's hospitals during July-August 2021 for COVID-19 or with an incidental positive SARS-CoV-2 test. Among patients with COVID-19, we assessed factors associated with severe illness by calculating age-stratified prevalence ratios (PR). We defined severe illness as receiving high-flow nasal cannula, positive airway pressure, or invasive mechanical ventilation. RESULTS: Of 947 hospitalized patients, 759 (80.1%) had COVID-19, of whom 287 (37.8%) had severe illness. Factors associated with severe illness included coinfection with RSV (PR 3.64) and bacteria (PR 1.88) in infants; RSV coinfection in patients aged 1-4 years (PR 1.96); and obesity in patients aged 5-11 (PR 2.20) and 12-17 years (PR 2.48). Having ≥2 underlying medical conditions was associated with severe illness in patients aged <1 (PR 1.82), 5-11 (PR 3.72), and 12-17 years (PR 3.19). CONCLUSIONS: Among patients hospitalized for COVID-19, factors associated with severe illness included RSV coinfection in those aged <5 years, obesity in those aged 5-17 years, and other underlying conditions for all age groups <18 years. These findings can inform pediatric practice, risk communication, and prevention strategies, including vaccination against COVID-19.

Traumatic brain injuries (TBIs) are a leading cause of morbidity and mortality in the US.1 In recent years, these injuries have received greater attention as a public health concern due to increased awareness of sport- and military-related TBIs.2 However, older adults have been reported to have higher rates of TBI than any other age group.1 In 2017, adults aged 65 years or older accounted for 38.4% of all TBI-related deaths and 43.9% of all TBI-related hospitalizations in the US.1 In addition, older adults who experience a TBI are more likely to have higher morbidity and mortality, slower recovery, and worse outcomes than younger adults.2

OBJECTIVE: The objective of this study was to compare individuals who were not evaluated by a doctor or nurse for a self-reported concussion versus individuals who were evaluated for a concussion by demographic variables, concussion history, and concussion circumstances. SETTINGS AND PARTICIPANTS: Data were collected from 2018 SpringStyles, a web-based panel survey of US adults 18 years or older (n = 6427), fielded in March-April. DESIGN: Cross-sectional. MAIN MEASURES: Respondents were asked whether they believed they had sustained a concussion in their lifetime and details about their most recent concussion, including whether they were evaluated by a doctor or nurse. RESULTS: Twenty-seven percent of adults in the survey reported a lifetime concussion (n = 1835). Among those individuals, 50.4% were not evaluated by a healthcare provider for their most recent concussion. Not being evaluated was higher among individuals whose concussion was caused by a slip, trip, or fall (adjusted prevalence ratio [APR] = 2.22; 95% CI, 1.65-2.99), riding a bicycle (APR = 2.28; 95% CI, 1.58-3.27), being struck by or against something by accident (APR = 2.50; 95% CI, 1.88-3.34), or being struck by or against something during a fight or argument (APR = 2.89; 95% CI, 2.11-3.97), compared with individuals whose concussion was caused by a motor vehicle crash. No evaluation was also higher among individuals whose concussion occurred while engaging in a sports or recreational activity (APR = 1.39; 95% CI, 1.07-1.82) or engaging in regular activities around the house (APR = 1.65; 95% CI, 1.27-2.14), compared with individuals whose concussion occurred while working for pay. CONCLUSION: More than a quarter of adults reported a lifetime concussion; however, half of them were not evaluated for their last concussion by a healthcare provider. Examination by a healthcare professional for a suspected concussion may prevent or mitigate potential long-term sequelae. Furthermore, current US surveillance methods may underestimate the burden of TBI because many individuals do not seek evaluation.

Rural-urban differences in maternal mortality ratios (MMR) in the United States have been difficult to measure in recent years due to the incremental adoption of a pregnancy status checkbox on death certificates. Using 1999-2017 mortality and birth data, we examined the impact of the pregnancy checkbox on MMRs by rural-urban residence (large urban, medium/small urban, rural), using log-binomial regression models to predict trends as if all states had adopted the checkbox as of 1999. Implementation of the checkbox resulted in an average estimated increase of 7.5 maternal deaths per 100,000 live births (95% CI: 6.3, 8.8) in large urban areas (76% increase), 11.6 (95% CI: 9.6, 13.6) in medium/small urban areas (113% increase), and 16.6 (95% CI: 12.9, 20.3) in rural areas (107% increase), compared with MMRs prior to the checkbox. Assuming all states had the checkbox as of 1999, demographic-adjusted predicted MMRs increased in rural, declined in large urban, and did not change in medium/small urban areas. However, trends and urban-rural differences were substantially attenuated when analyses were limited to direct/specific causes of maternal death, which are likely subject to less misclassification. Accurate ascertainment of maternal deaths, particularly in rural areas, is important for reducing disparities in maternal mortality.

Information is limited about signs and symptoms experienced by individuals who self-report a concussion within surveys. The objective of this study was to assess the number and types of signs/symptoms adults experienced and whether or not medical attention was reported after sustaining a self-reported concussion in the past year. A sample of 3,624 adults responded to the web-based 2019 FallStyles survey. Respondents were asked if they had sustained a concussion in the past 12 months and if so, which (if any) signs/symptoms they experienced following the injury. The frequency and percentages of symptoms were calculated. Approximately 2.9% of respondents reported a concussion in the past year. Approximately two-thirds of respondents who reported sustaining a recent concussion stated that they experienced two or more signs/symptoms; the remaining one-third reported zero or one symptom. The findings suggest self-report concussion questions need additional improvement, particularly those that capture concussion using a single question, to improve the validity of self-reports.

OBJECTIVE: The Mind, Exercise, Nutrition, Do It! 7-13 (MEND 7-13) program was adapted in 2016 by five Denver Health federally qualified health centers (DH FQHC) into MEND+, integrating clinician medical visits into the curriculum and tracking health measures within an electronic health record (EHR). We examined trajectories of body mass index (BMI, kg/m(2)) percentile, and systolic and diastolic blood pressures (SBP & DBP) among MEND+ attendees in an expanded age range of 4-17 years, and comparable non-attendees. METHODS: Data from April 2015 to May 2018 were extracted from DH FQHC EHR for children eligible for MEND+ referral (BMI ≥85(th) percentile). The sample included 347 MEND+ attendees and 21,061 non-attendees. Mixed-effects models examined average rate of change for BMI percent of the 95(th) percentile (%BMIp95), SBP, and DBP, after completion of the study period. RESULTS: Most children were ages 7-13 years, half were male, and most were Hispanic. An average of 4.2 MEND+ clinical sessions were attended. Before MEND+, %BMIp95 increased by 0.247 units/month among MEND+ attendees. After attending, %BMIp95 decreased by 0.087 units/month (p<0.001). Eligible non-attendees had an increase of 0.084/month in %BMIp95. Before MEND+ attendance, SBP and DBP increased by 0.041 and 0.022/month, respectively. After MEND+ attendance, SBP and DBP decreased by 0.254 /month (p<0.001) and 0.114/month (p<0.01), respectively. SBP and DBP increased by 0.032 and 0.033/month in eligible non-attendees, respectively. CONCLUSIONS: %BMIp95, SBP, and DBP significantly decreased among MEND+ attendees when implemented in community-based clinical practice settings at DH FQHC.

During 2010-2016, there were an average of 283,000 U.S. emergency department (ED) visits each year among children for sports and recreation-related traumatic brain injuries (SRR-TBIs); approximately 45% of these SRR-TBIs were associated with contact sports (1). Although most children with an SRR-TBI are asymptomatic within 4 weeks, there is growing concern about potential long-term effects on a child's developing brain (2). This has led to calls to reduce the risk for traumatic brain injuries (TBIs) among child athletes, resulting in the introduction of state policies and the institution of safety rules (e.g., age and contact restrictions) for some sports programs. To assess changes in the incidence of ED-related SRR-TBI among children, CDC analyzed data from the National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) for the period 2001-2018. After more than a decade of increasing rates, the rate of contact sports-related TBI ED visits declined 32% from 2012 to 2018. This reduction was primarily the result of a decline in football-related SRR-TBI ED visits during 2013-2018. Decreased participation in tackle football (3) and implementation of contact limitations (4) were likely contributing factors to this decline. Public health professionals should continue to expand efforts to address SRR-TBIs in football, which is the sport with the highest incidence of TBI, and identify effective prevention strategies for all sports to reduce TBIs among children.

Introduction: while it is suspected that some ages were misreported during the 2014-2016 West African Ebola outbreak, an analysis examining age data quality has not been conducted. The study objective was to examine age heaping and terminal digit preference as indicators for quality of age data collected in the Sierra Leone Ebola Database (SLED). Method(s): age data quality for adult patients was analyzed within SLED for the Viral Hemorrhagic Fever (VHF) database and the laboratory testing dataset by calculating Whipple's index and Myers's blended index, stratified by sex and region. Result(s): age data quality was low in both the VHF database (Whipple's index for the 5-year range, 229.2) and the laboratory testing dataset (Whipple's index for the 5-year range, 236.4). Age was reported more accurately in the Western Area and least accurately in the Eastern Province. Age data for females were less accurate than for males. Conclusion(s): age data quality was low in adult patients during the 2014-2016 Ebola outbreak in Sierra Leone, which may reduce its use as an identifying or stratifying variable. These findings inform future analyses using this database and describe a phenomenon that has relevance in data collection methods and analyses for future outbreaks in developing countries.

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.

We read with interest the article by Gao et al,1 who described an increase in unintentional infant suffocation from 1999 to 2015 in the United States, which was “primarily a result of increases in deaths from suffocation and strangulation in bed.”1 Unfortunately, this study did not fully acknowledge that increased rates in accidental suffocation and strangulation in bed (ASSB) have been partly attributed to diagnostic shifts.2 Since about 1999, cause-of-death certifiers (medical examiners and coroners) have been moving away from reporting sudden infant death syndrome (SIDS) as a cause of death to other sudden unexpected infant death (SUID) causes such as ASSB.2 In 1990, 84% of SUIDs were certified as SIDS and 2% as ASSB. In 2015, 42% of SUIDs were certified as SIDS and 25% as ASSB.2