Refinement of a Preliminary Case Definition for Use in Traumatic Brain Injury Surveillance.

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.

Ranked severe maternal morbidity index for population-level surveillance at delivery hospitalization based on hospital discharge data.

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.

Vital Signs: Maternity Care Experiences - United States, April 2023.

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.

Using guided credible history interviews to establish special education eligibility for students with traumatic brain injury.

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.

Children, adolescents, and young adults hospitalized with COVID-19 and diabetes in summer 2021.

INTRODUCTION: More information is needed to understand the clinical epidemiology of children and young adults hospitalized with diabetes and COVID-19. We describe the demographic and clinical characteristics of patients <21 years 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 <21 years 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 >12 years 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 children and young adults 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.

Factors Associated With Severe Illness in Patients Aged <21 Years Hospitalized for COVID-19.

OBJECTIVES: To describe coronavirus disease 2019 (COVID-19)-related pediatric hospitalizations during a period of B.1.617.2 (Δ) variant predominance and to determine age-specific factors associated with severe illness. METHODS: We abstracted data from medical charts to conduct a cross-sectional study of patients aged <21 years hospitalized at 6 United States children's hospitals from July to August 2021 for COVID-19 or with an incidental positive severe acute respiratory syndrome coronavirus 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 respiratory syncytial virus (RSV) (PR 3.64) and bacteria (PR 1.88) in infants; RSV coinfection in patients aged 1 to 4 years (PR 1.96); and obesity in patients aged 5 to 11 (PR 2.20) and 12 to 17 years (PR 2.48). Having ≥2 underlying medical conditions was associated with severe illness in patients aged <1 (PR 1.82), 5 to 11 (PR 3.72), and 12 to 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 to 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.

Concussion Evaluation Patterns Among US Adults.

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 Trends in the United States, 1999-2017: Accounting for the Impact of the Pregnancy Status Checkbox.

It has been difficult to measure rural-urban differences in maternal mortality ratios (MMRs) in the United States in recent years because of the incremental adoption of a pregnancy status checkbox on the standard US death certificate. Using 1999-2017 mortality and birth data, we examined the impact of the pregnancy checkbox on MMRs according to urbanicity of residence (large urban area, medium/small urban area, or rural area), using log-binomial regression models to predict trends that would have been observed 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% confidence interval (CI): 6.3, 8.8) in large urban areas (a 76% increase), 11.6 (95% CI: 9.6, 13.6) in medium/small urban areas (a 113% increase), and 16.6 (95% CI: 12.9, 20.3) in rural areas (a 107% increase), compared with MMRs prior to the checkbox. Assuming that all states had the checkbox as of 1999, demographic-factor-adjusted predicted MMRs increased in rural areas, declined in large urban areas, 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 probably subject to less misclassification. Accurate ascertainment of maternal deaths, particularly in rural areas, is important for reducing disparities in maternal mortality.

Symptom profile of affirmative responses to a self-report concussion question, United States 2019.

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.

Body Mass Index and Blood Pressure Improvements With a Pediatric Weight Management Intervention at Federally Qualified Health Centers.

OBJECTIVE: The Mind, Exercise, Nutrition, Do It! 7-13 (MEND 7-13) program was adapted in 2016 by 5 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/m2) percentile, and systolic and diastolic blood pressures (SBP and DBP) among MEND+ attendees in an expanded age range of 4 to 17 years, and comparable nonattendees. METHODS: Data from April 2015 to May 2018 were extracted from DH FQHC EHR for children eligible for MEND+ referral (BMI ≥85th percentile). The sample included 347 MEND+ attendees and 21,061 nonattendees. Mixed-effects models examined average rate of change for BMI percent of the 95th percentile (%BMIp95), SBP and DBP (mm Hg), after completion of the study period. RESULTS: Most children were ages 7 to 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 < .001). Eligible nonattendees 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 < .001) and 0.114/month (P < .01), respectively. SBP and DBP increased by 0.033 and 0.032/month in eligible nonattendees, respectively. CONCLUSIONS: %BMIp95, SBP, and DBP significantly decreased among MEND+ attendees when implemented in community-based clinical practice settings at DH FQHC.

Trends in Emergency Department Visits for Contact Sports-Related Traumatic Brain Injuries Among Children - United States, 2001-2018.

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.

The Impact of the Pregnancy Checkbox and Misclassification on Maternal Mortality Trends in the United States, 1999-2017.

Maternal mortality is a critical indicator of population health in both the United States and internationally (1-3). Monitoring maternal mortality over time is important to evaluate progress in improving maternal health in the United States, to make international comparisons, and to examine differences and inequities by demographic subgroup (3). Substantial disparities in maternal mortality exist by race and Hispanic origin and age in the United States (4-6). Maternal and pregnancy-related mortality rates for non-Hispanic black women are approximately three times the rates for non-Hispanic white women, while women aged 40 and over have the highest maternal mortality rates compared with other age groups (4,6,7).

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

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

Singleton Low Birthweight Rates, by Race and Hispanic Origin: United States, 2006-2016.

Low birthweight (LBW) is among the leading causes of infant death in the United States (1). LBW infants are also more likely to have health problems (2). After reaching its highest level in four decades, the LBW rate among all births declined from 2006 to 2014 (3,4), but the trend reversed in 2015 and 2016 when the LBW rate increased (4), moving further away from the Healthy People 2020 goal of reducing LBW rates to 7.8% of live births (5). This report shows trends in LBW, moderately low birthweight (MLBW), and very low birthweight (VLBW) by race and Hispanic origin from 2006 to 2016 for singleton births only, as rates of multiple births can impact LBW rates (4,6).

Hospital Variations in Unexpected Complications Among Term Newborns.

OBJECTIVES: To examine contributing factors and potential reasons for hospital differences in unexpected newborn complication rates in Florida. METHODS: We conducted a population-based retrospective cohort study of linked birth certificate and hospital discharge records from 2004 to 2013. The study population included 1 604 774 term, singleton live births in 124 hospitals. Severe and moderate complications were identified via a published algorithm. Logistic mixed-effects models were used to examine risk factors for complications and to estimate the percentage of hospital variation explained by factors. Descriptive analyses were performed to explore reasons for the differences. RESULTS: Hospital total complication rates varied from 6.7 to 98.6 per 1000 births. No correlation between severe and moderate complication rates by hospital was identified. Leading risk factors for complications included medically indicated early-term delivery, no prenatal care, nulliparity, prepregnancy obesity, tobacco use, and delivery in southern Florida hospitals. Hospital factors such as geographic location, level of care or birth volume, and Medicaid births percentage explained 35% and 27.8% of variation in severe and moderate complication rates, respectively. Individual factors explained an additional 6% of variation in severe complication rates. Different complication subcategories (eg, infections, hospital transfers) drove the hospital factors that contributed to severe and moderate complications. CONCLUSIONS: Variation in unexpected complication rates is more likely to be related to hospital rather than patient characteristics in Florida. The high proportion of variation explained by hospital factors suggests potential opportunities for improvement, and identifying specific complication categories may provide focus areas. Some of the opportunities may be related to differences in hospital coding practice.

Maternal and hospital characteristics of non-medically indicated deliveries prior to 39 weeks.

Non-medically indicated (NMI) deliveries prior to 39 weeks increase the risk of neonatal mortality, excess morbidity, and health care costs. The study's purpose was to identify maternal and hospital characteristics associated with NMI deliveries prior to 39 weeks. The study included 207,775 births to women without a previous cesarean and 38,316 births to women with a previous cesarean, using data from Florida's 2006-2007 linked birth certificate and inpatient record file. Adjusted risk ratios (ARR) and 95 % confidence intervals (CI) for characteristics were calculated using generalized estimating equation for multinomial logistic regression. Among women without a previous cesarean, NMI deliveries occurred in 18,368 births (8.8 %). Non-medically indicated inductions were more likely in women who were non-Hispanic white (ARR: 1.41, 95 % CI 1.31-1.52), privately-insured (ARR: 1.42, 95 % CI 1.26-1.59), and delivered in hospitals with <500 births per year. Non-medically indicated primary cesareans were more likely in women who were older than 35 years (ARR: 2.96, 95 % CI 2.51-3.50), non-Hispanic white (ARR: 1.44, 95 % CI 1.30-1.59), and privately-insured (ARR: 1.43, 95 % CI 1.17-1.73). Non-medically indicated primary cesareans were also more likely to occur in hospitals with <30 % nurse-midwife births, <500 births per year, and in large metro areas. Among women with previous cesarean, NMI repeat cesareans occurred in 16,746 births (43.7 %). Only weak risk factors were identified for NMI repeat cesareans. The risk factors identified varied by NMI outcome. This information can be used to inform educational campaigns and identify hospitals that may benefit from quality improvement efforts.