National Assessment of Pediatric Readiness of US Emergency Departments During the COVID-19 Pandemic.

Importance: The National Pediatric Readiness Project assessment provides a comprehensive evaluation of the readiness of US emergency departments (EDs) to care for children. Increased pediatric readiness has been shown to improve survival for children with critical illness and injury. Objectives: To complete a third assessment of pediatric readiness of US EDs during the COVID-19 pandemic, to examine changes in pediatric readiness from 2013 to 2021, and to evaluate factors associated with current pediatric readiness. Design, Setting, and Participants: In this survey study, a 92-question web-based open assessment of ED leadership in US hospitals (excluding EDs not open 24 h/d and 7 d/wk) was sent via email. Data were collected from May to August 2021. Main Outcomes and Measures: Weighted pediatric readiness score (WPRS) (range, 0-100, with higher scores indicating higher readiness); adjusted WPRS (ie, normalized to 100 points), calculated excluding points received for presence of a pediatric emergency care coordinator (PECC) and quality improvement (QI) plan. Results: Of the 5150 assessments sent to ED leadership, 3647 (70.8%) responded, representing 14.1 million annual pediatric ED visits. A total of 3557 responses (97.5%) contained all scored items and were included in the analysis. The majority of EDs (2895 [81.4%]) treated fewer than 10 children per day. The median (IQR) WPRS was 69.5 (59.0-84.0). Comparing common data elements from the 2013 and 2021 NPRP assessments demonstrated a reduction in median WPRS (72.1 vs 70.5), yet improvements across all domains of readiness were noted except in the administration and coordination domain (ie, PECCs), which significantly decreased. The presence of both PECCs was associated with a higher adjusted median (IQR) WPRS (90.5 [81.4-96.4]) compared with no PECC (74.2 [66.2-82.5]) across all pediatric volume categories (P < .001). Other factors associated with higher pediatric readiness included a full pediatric QI plan vs no plan (adjusted median [IQR] WPRS: 89.8 [76.9-96.7] vs 65.1 [57.7-72.8]; P < .001) and staffing with board-certified emergency medicine and/or pediatric emergency medicine physicians vs none (median [IQR] WPRS: 71.5 [61.0-85.1] vs 62.0 [54.3-76.0; P < .001). Conclusions and Relevance: These data demonstrate improvements in key domains of pediatric readiness despite losses in the health care workforce, including PECCs, during the COVID-19 pandemic, and suggest organizational changes in EDs to maintain pediatric readiness.

Validation of the Pediatric Sequential Organ Failure Assessment Score and Evaluation of Third International Consensus Definitions for Sepsis and Septic Shock Definitions in the Pediatric Emergency Department.

Importance: Pediatric sepsis definitions have evolved, and some have proposed using the measure used in adults to quantify organ dysfunction, a Sequential Organ Failure Assessment (SOFA) score of 2 or more in the setting of suspected infection. A pediatric adaptation of SOFA (pSOFA) showed excellent discrimination for mortality in critically ill children but has not been evaluated in an emergency department (ED) population. Objective: To delineate test characteristics of the pSOFA score for predicting in-hospital mortality among (1) all patients and (2) patients with suspected infection treated in pediatric EDs. Design, Setting, and Participants: This retrospective cohort study took place from January 1, 2012, to January 31, 2020 in 9 US children's hospitals included in the Pediatric Emergency Care Applied Research Network (PECARN) Registry. The data was analyzed from February 1, 2020, to April 18, 2022. All ED visits for patients younger than 18 years were included. Exposures: ED pSOFA score was assigned by summing maximum pSOFA organ dysfunction components during ED stay (each 0-4 points). In the subset with suspected infection, visit meeting criteria for sepsis (suspected infection with a pSOFA score of 2 or more) and septic shock (suspected infection with vasoactive infusion and serum lactate level >18.0 mg/dL) were identified. Main Outcomes and Measures: Test characteristics of pSOFA scores of 2 or more during the ED stay for hospital mortality. Results: A total of 3 999 528 (female, 47.3%) ED visits were included. pSOFA scores ranged from 0 to 16, with 126 250 visits (3.2%) having a pSOFA score of 2 or more. pSOFA scores of 2 or more had sensitivity of 0.65 (95% CI, 0.62-0.67) and specificity of 0.97 (95% CI, 0.97-0.97), with negative predictive value of 1.0 (95% CI, 1.00-1.00) in predicting hospital mortality. Of 642 868 patients with suspected infection (16.1%), 42 992 (6.7%) met criteria for sepsis, and 374 (0.1%) met criteria for septic shock. Hospital mortality rates for suspected infection (599 502), sepsis (42 992), and septic shock (374) were 0.0%, 0.9%, and 8.0%, respectively. The pSOFA score had similar discrimination for hospital mortality in all ED visits (area under receiver operating characteristic curve, 0.81; 95% CI, 0.79-0.82) and the subset with suspected infection (area under receiver operating characteristic curve, 0.82; 95% CI, 0.80-0.84). Conclusions and Relevance: In a large, multicenter study of pediatric ED visits, a pSOFA score of 2 or more was uncommon and associated with increased hospital mortality yet had poor sensitivity as a screening tool for hospital mortality. Conversely, children with a pSOFA score of 2 or less were at very low risk of death, with high specificity and negative predictive value. Among patients with suspected infection, patients with pSOFA-defined septic shock demonstrated the highest mortality.

The costs of care from a US claims database in patients with neuromyelitis optica spectrum disorder.

BACKGROUND: Neuromyelitis optica spectrum disorder (NMOSD) is a rare autoimmune disease of the central nervous system that often leads to severe disability. Patients with highly active NMOSD have approximately a 10-times higher hospital inpatient admission rate compared with patients without NMOSD. Accurate assessments of the impact of NMOSD treatments on the burdens of illness require quantitative metrics of these burdens, including costs of care. METHODS: This study evaluated claims data from the IBM MarketScan Commercial and Medicare Supplemental Databases between 2014 and 2018. Patients were included based on inpatient or outpatient claims meeting criteria defined for NMOSD. Non-NMOSD controls were matched 5:1 to patients with NMOSD. Total costs of healthcare services in consumer price index-adjusted 2019 US dollars during the 1-year postindex follow-up period were calculated for patients and controls. RESULTS: Patients with NMOSD required more healthcare services and incurred significantly greater costs for inpatient hospitalizations (annual mean [SD] cost: $29,054 [$144,872] vs controls $1521 [$10,759]), outpatient services ($24,881 [$35,463] vs $4761 [$26,447]), and emergency department (ED) visits ($2400 [$7771] vs $408 [$2579]). Almost 12% of patients with NMOSD were further burdened with plasma exchange or intravenous immunoglobulin G treatments, costing an annual median (interquartile range) of $1684 ($566-$3817) and $24,353 ($5425-$42,975), respectively. CONCLUSIONS: Compared with controls, patients with NMOSD had significantly higher costs associated with hospitalizations, ED visits, and prescriptions. These results highlight the considerable economic burden of NMOSD, which may be favorably impacted by disease-modifying therapies that are regulatory-approved to be safe and effective.

Burden and cost of comorbidities in patients with neuromyelitis optica spectrum disorder.

BACKGROUND: Neuromyelitis optica spectrum disorder (NMOSD) is associated with various comorbidities, including non-autoimmune and autoimmune conditions. The burden and cost of illness for NMOSD are unclear, particularly in the context of comorbidities. METHODS: Claims data from IBM MarketScan Commercial and Medicare Supplemental Databases between 2014 and 2018 were analyzed. Patients with NMOSD were specified as having inpatient or outpatient claims for NMOSD diagnosis or specific NMOSD symptoms claims and no subsequent claims for multiple sclerosis (MS) or use of MS disease-modifying therapy (DMT). Continuous enrollment ≥ 6 months before and ≥ 1 year after the first claim (index date) was required for study inclusion. Total costs stratified by comorbidities within 12 months post-index date were calculated per patient and compared 1:5 with matched non-NMOSD controls. RESULTS: A total of 162 patients with NMOSD and 810 non-NMOSD controls were evaluated. A significantly higher proportion of NMOSD patients had comorbidities than non-NMOSD controls (66.7% vs 41.5%; P < 0.001). Concomitant autoimmune disease occurred in 19.1% vs 4.9% (P < 0.001) of patients with NMOSD vs non-NMOSD controls. NMOSD patients incurred significantly higher total median (interquartile range) healthcare costs per patient ($68,386.48 [$23,373.54-$160,862.70]) than matched non-NMOSD controls with autoimmune disease ($17,215.13 [$6715.48-$31,441.93]; P < 0.001) or patients with NMOSD without autoimmune comorbidity ($23,905.42 [$8632.82-$67,251.54]; P = 0.022). Similarly, patients with NMOSD and non-autoimmune comorbidities incurred higher median healthcare costs than matched controls. CONCLUSIONS: Patients with NMOSD experience significant disease burden and cost that are amplified by comorbidities. Effective therapies are needed, particularly for patients with concomitant autoimmune disease.

Development of the integrated New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse: catalysing advancements in injury prevention research.

OBJECTIVE: Our objective was to describe the development of the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse-a unique and comprehensive data source that integrates state-wide administrative databases in NJ to enable the field of injury prevention to address critical, high-priority research questions. METHODS: We undertook an iterative process to link data from six state-wide administrative databases from NJ for the period of 2004 through 2018: (1) driver licensing histories, (2) traffic-related citations and suspensions, (3) police-reported crashes, (4) birth certificates, (5) death certificates and (6) hospital discharges (emergency department, inpatient and outpatient). We also linked to electronic health records of all NJ patients of the Children's Hospital of Philadelphia network, census tract-level indicators (using geocoded residential addresses) and state-wide Medicaid/Medicare data. We used several metrics to evaluate the quality of the linkage process. RESULTS: After the linkage process was complete, the NJ-SHO data warehouse included linked records for 22.3 million distinct individuals. Our evaluation of this linkage suggests that the linkage was of high quality: (1) the median match probability-or likelihood of a match being true-among all accepted pairs was 0.9999 (IQR: 0.9999-1.0000); and (2) the false match rate-or proportion of accepted pairs that were false matches-was 0.0063. CONCLUSIONS: The resulting NJ-SHO warehouse is one of the most comprehensive and rich longitudinal sources of injury data to date. The warehouse has already been used to support numerous studies and is primed to support a host of rigorous studies in the field of injury prevention.

Neuromyelitis optica spectrum disorder: Patient experience and quality of life.

Objective: To gain insights into NMOSD disease impact, which may negatively affect QoL of patients, their families, and social network. Methods: The current study used validated instruments to assess physical, emotional, and socioeconomic burden of NMOSD on QoL among 193 patients. Results: A majority of patients reported an initial diagnosis of a disease other than NMOSD. Overall, two-thirds of patients reported NMOSD as having a strong negative impact on physical health (Short Form-36 [SF-36] score 27.1 ± 39.1), whereas emotional well-being was relatively unimpaired on average (SF-36 score 54.0 ± 44.9). A subset of patients reported having the highest category of emotional health despite worse physical health or financial burden, suggesting psychological resilience. Pain (r = 0.61) and bowel/bladder dysfunction (r = 0.41) imposed the greatest negative physical impact on overall QoL. In turn, ability to work correlated inversely with worsened health (r = -0.68). Increased pain, reduced sexual function, inability to work, and reduced QoL had greatest negative impacts on emotional well-being. Dissatisfaction with treatment options and economic burden correlated inversely with QoL. Conclusions: Collectively, the current findings advance the understanding of physical, emotional, social, and financial tolls imposed by NMOSD. These insights offer potential ways to enhance QoL by managing pain, enhancing family and social networks, and facilitating active employment.

Justice Denied: Low Submission Rates of Sexual Assault Kits and the Predicting Variables.

Following sexual assaults, victims are advised to seek health care services with forensic evidence collected and packaged in sexual assault kits (SAKs). This large (N = 1,874), retrospective study examined rates of SAK submissions by law enforcement to the state crime laboratory for analysis from 2010 to 2013 at four sites in a Western state in the United States with established sexual assault nurse examiner (SANE) programs. Variables of legal and extralegal characteristics in sexual assault cases were explored through generalized estimating equations (GEE) modeling to determine what factors statistically predicted SAK submissions. For submitted SAKs, the length of time between the dates of assault and dates of submission was categorized, and bivariate and multivariate analyses were calculated to discover legal and extralegal characteristics affecting time of submission. The study sites represented 40% of the state's law enforcement agencies and 65% of the state's population. Out of the 1,874 SAKs in the study, only 38.2% were submitted by law enforcement to the state crime laboratory for analysis. When SAK submissions were examined based on time between assaults and submission dates, 22.8% were submitted within a year of the assault and 15.4% were submitted more than a year after the assault following media and community pressure for law enforcement agencies to submit SAKs in storage. Significant variability of SAK submission rates and the time submitted from the assault dates were found between the sites. Site location was found to be the main determinant of whether or not SAKs were submitted. The lack of SAK submissions for analysis results in justice denied for victims and raises public safety concerns. The finding that the location in which the sexual assault occurred was the primary factor on SAK submissions represents an inequity of justice.

Linkage of VA and State Prescription Drug Monitoring Program Data to Examine Concurrent Opioid and Sedative-Hypnotic Prescriptions among Veterans.

OBJECTIVE: To examine the prevalence of concurrent Veterans Health Administration (VA) and non-VA prescriptions for opioids and sedative-hypnotic medications among post-9/11 veterans in Oregon. DATA SOURCES: VA health care and prescription data were probabilistically linked with Oregon Prescription Drug Monitoring Program (PDMP) data. STUDY DESIGN: This retrospective cohort study examined concurrent prescriptions among n = 19,959 post-9/11 veterans, by year (2014-2016) and by patient demographic and clinical characteristics. Veterans were included in the cohort for years in which they received VA outpatient care; those receiving hospice or palliative care were excluded. Concurrent prescriptions were defined as ≥1 days of overlap between outpatient prescriptions for opioids and/or sedative-hypnotics (categorized as benzodiazepines vs. non-benzodiazepines). PRINCIPAL FINDINGS: Among 5,882 veterans who filled opioid or sedative-hypnotic prescriptions at VA pharmacies, 1,036 (17.6 percent) filled concurrent prescriptions from non-VA pharmacies. Within drug class, 15.1, 8.8, and 4.6 percent received concurrent VA and non-VA opioids, benzodiazepines, and non-benzodiazepines, respectively. Veteran demographics and clinical diagnoses were associated with the likelihood of concurrent prescriptions, as was enrollment in the Veterans Choice Program. CONCLUSIONS: A considerable proportion of post-9/11 veterans receiving VA care in Oregon filled concurrent prescriptions for opioids and sedative-hypnotics. Fragmentation of care may contribute to prescription drug overdose risk among veterans.

Perceived social risk in medical decision-making for physical child abuse: a mixed-methods study.

BACKGROUND: The medical literature reports differential decision-making for children with suspected physical abuse based on race and socioeconomic status. Differential evaluation may be related to differences of risk indicators in these populations or differences in physicians' perceptions of abuse risk. Our objective was to understand the contribution of the child's social ecology to child abuse pediatricians' perception of abuse risk and to test whether risk perception influences diagnostic decision-making. METHODS: Thirty-two child abuse pediatrician participants prospectively contributed 746 consultations from for children referred for physical abuse evaluation (2009-2013). Participants entered consultations to a web-based interface. Participants noted their perception of child race, family SES, abuse diagnosis. Participants rated their perception of social risk for abuse and diagnostic certainty on a 1-100 scale. Consultations (n = 730) meeting inclusion criteria were qualitatively analyzed for social risk indicators, social and non-social cues. Using a linear mixed-effects model, we examined the associations of social risk indicators with participant social risk perception. We reversed social risk indicators in 102 cases whilst leaving all injury mechanism and medical information unchanged. Participants reviewed these reversed cases and recorded their social risk perception, diagnosis and diagnostic certainty. RESULTS: After adjustment for physician characteristics and social risk indicators, social risk perception was highest in the poorest non-minority families (24.9 points, 95%CI: 19.2, 30.6) and minority families (17.9 points, 95%CI, 12.8, 23.0). Diagnostic certainty and perceived social risk were associated: certainty increased as social risk perception increased (Spearman correlation 0.21, p < 0.001) in probable abuse cases; certainty decreased as risk perception increased (Spearman correlation (-)0.19, p = 0.003) in probable not abuse cases. Diagnostic decisions changed in 40% of cases when social risk indicators were reversed. CONCLUSIONS: CAP risk perception that poverty is associated with higher abuse risk may explain documented race and class disparities in the medical evaluation and diagnosis of suspected child physical abuse. Social risk perception may act by influencing CAP certainty in their diagnosis.

Social Intuition and Social Information in Physical Child Abuse Evaluation and Diagnosis.

BACKGROUND: Poor and minority children with injuries concerning for abuse are evaluated and diagnosed for abuse differentially. We hypothesized that 2 steps in the decision-making process would influence evaluation and diagnosis: social intuition from meeting the family and objective social information associated with child abuse risk. METHODS: Between 2009 and 2013, 32 child abuse pediatricians (CAPs) submitted 730 child abuse consultations including original medical evaluations and diagnoses. CAPs evaluated and diagnosed each other's cases. Comparisons of evaluations and diagnoses were made by levels of social understanding available to the CAP: meeting the family (social intuition and information), reading the case (social information), and reading the case without social information. Evaluations were compared with a consensus gold standard by using logistic regression modeling adjusting for child and CAP characteristics. Diagnostic categories were compared by level of social understanding and diagnostic certainty by using contingency tables. RESULTS: CAPs without access to social intuition were approximately twice as likely to perform gold standard evaluations for neurotrauma and long bone fracture compared with CAPs who met families. Diagnostic agreement fell from 73.3% (95% confidence interval [CI]: 70.1%-76.5%) when social information was present to 66.5% (95% CI: 63.1%-70.0%) when social information was restricted. In cases with less certainty, agreement dropped to 51.3% (95% CI: 46.0%-56.7%). CONCLUSIONS: Social intuition and information play a role in the physical child abuse decision-making process, which may contribute to differential diagnosis. Simple interventions including decision tools, check lists, and peer review may structure evaluations to ensure children's equal treatment.

Medicaid Expenditures for Children Remaining at Home After a First Finding of Child Maltreatment.

BACKGROUND: Child maltreatment is associated with physical and mental health problems. The objective of this study was to compare Medicaid expenditures based on a first-time finding of child maltreatment by Child Protective Services (CPS). METHODS: This retrospective cohort study included children aged 0 to 14 years enrolled in Utah Medicaid between January 2007 and December 2009. The exposed group included children enrolled in Medicaid during the month of a first-time CPS finding of maltreatment not resulting in out-of-home placement. The unexposed group included children enrolled in Medicaid in the same months without CPS involvement. Quantile regression was used to describe differences in average nonpharmacy Medicaid expenditures per child-year associated with a first-time CPS finding of maltreatment. RESULTS: A total of 6593 exposed children and 39 181 unexposed children contributed 20 670 and 105 982 child-years to this analysis, respectively. In adjusted quantile regression, exposed children at the 50th percentile of health care spending had annual expenditures $78 (95% confidence interval [CI], 65 to 90) higher than unexposed children. This difference increased to $336 (95% CI, 283 to 389) and $1038 (95% CI, 812 to 1264) at the 75th and 90th percentiles of health care spending. Differences were higher among older children, children with mental health diagnoses, and children with repeated episodes of CPS involvement; differences were lower among children with severe chronic health conditions. CONCLUSIONS: Maltreatment is associated with increased health care expenditures, but these costs are not evenly distributed. Better understanding of the reasons for and outcomes associated with differences in health care costs for children with a history of maltreatment is needed.

Motor Vehicle Crashes, Medical Outcomes, and Hospital Charges Among Children Aged 1-12 Years - Crash Outcome Data Evaluation System, 11 States, 2005-2008.

PROBLEM: Motor vehicle crashes are a leading cause of death among children. Age- and size-appropriate restraint use is an effective way to prevent motor vehicle-related injuries and deaths. However, children are not always properly restrained while riding in a motor vehicle, and some are not restrained at all, which increases their risk for injury and death in a crash. REPORTING PERIOD: 2005-2008. DESCRIPTION OF THE SYSTEM: The Crash Outcome Data Evaluation System (CODES) is a multistate program facilitated by the National Highway Traffic Safety Administration to probabilistically link police crash reports and hospital databases for traffic safety analyses. Eleven participating states (Connecticut, Georgia, Kentucky, Maryland, Minnesota, Missouri, Nebraska, New York, Ohio, South Carolina, and Utah) submitted data to CODES during the reporting period. Descriptive analysis was used to describe drivers and child passengers involved in motor vehicle crashes and to summarize crash and medical outcomes. Odds ratios and 95% confidence intervals were used to compare a child passenger's likelihood of sustaining specific types of injuries by restraint status (optimal, suboptimal, or unrestrained) and seating location (front or back seat). Because of data constraints, optimal restraint use was defined as a car seat or booster seat use for children aged 1-7 years and seat belt use for children aged 8-12 years. Suboptimal restraint use was defined as seat belt use for children aged 1-7 years. Unrestrained was defined as no use of car seat, booster seat, or seat belt for children aged 1-12 years. RESULTS: Optimal restraint use in the back seat declined with child's age (1 year: 95.9%, 5 years: 95.4%, 7 years: 94.7%, 8 years: 77.4%, 10 years: 67.5%, 12 years: 54.7%). Child restraint use was associated with driver restraint use; 41.3% of children riding with unrestrained drivers also were unrestrained compared with 2.2% of children riding with restrained drivers. Child restraint use also was associated with impaired driving due to alcohol or drug use; 16.4% children riding with drivers suspected of alcohol or drug use were unrestrained compared with 2.9% of children riding with drivers not suspected of such use. Optimally restrained and suboptimally restrained children were less likely to sustain a traumatic brain injury than unrestrained children. The 90th percentile hospital charges for children aged 4-7 years who were in motor vehicle crashes were $1,630.00 and $1,958.00 for those optimally restrained in a back seat and front seat, respectively; $2,035.91 and $3,696.00 for those suboptimally restrained in a back seat and front seat, respectively; and $9,956.60 and $11,143.85 for those unrestrained in a back seat and front seat, respectively. INTERPRETATION: Proper car seat, booster seat, and seat belt use among children in the back seat prevents injuries and deaths, as well as averts hospital charges. However, the number, severity, and cost of injuries among children in crashes who were not optimally restrained or who were seated in a front seat indicates the need for improvements in proper use of age- and size-appropriate car seats, booster seats, and seat belts in the back seat. PUBLIC HEALTH ACTIONS: Effective interventions for increasing proper child restraint use could be universally implemented by states and communities to prevent motor vehicle-related injuries among children and their resulting costs.

Patient- and Community-Level Sociodemographic Characteristics Associated with Emergency Department Visits for Childhood Injury.

OBJECTIVE: To examine pediatric emergency department (ED) visits over 5 years, trends in injury severity, and associations between injury-related ED visit outcome and patient and community-level sociodemographic characteristics. STUDY DESIGN: Retrospective analysis of administrative data provided to the Pediatric Emergency Care Applied Research Network Core Data Project, 2004-2008. Home addresses were geocoded to determine census block group and associated sociodemographic characteristics. Maximum Abbreviated Injury Scale severity and Severity Classification System scores were calculated. Generalized estimating equations were used to test for associations between sociodemographic characteristics and admission or transfer among injury-related ED visits. RESULTS: Overall ED visits and injury-related visits increased from 2004 to 2008 at study sites. Of 2,833676 successfully geocoded visits, 700,821 (24.7%) were injury-related. The proportion of higher severity injury-related visits remained consistent. Nearly 10% of injury-related visits resulted in admission or transfer each year. After adjusting for age, sex, payer, and injury severity, odds of admission or transfer were lower among minority children and children from areas with moderate and high prevalence of poverty. CONCLUSIONS: Pediatric injury-related ED visits to included sites increased over the study period while injury severity, anticipated resource utilization, and visit outcomes remained stable, with low rates of admission or transfer. Sociodemographic differences in injury-related visits and ED disposition were apparent. ED-based injury surveillance is essential to understand disparities, inform targets for prevention programs, and reduce the overall burden of childhood injuries.

Race and sex disparities in prehospital recognition of acute stroke.

OBJECTIVES: The objective of this study was to examine prehospital provider recognition of stroke by race and sex. METHODS: Diagnoses at emergency department (ED) and hospital discharge from a statewide database in California were linked to prehospital diagnoses from an electronic database from two counties in Northern California from January 2005 to December 2007 using probabilistic linkage. All patients 18 years and older, transported by ambulances (n = 309,866) within the two counties, and patients with hospital-based discharge diagnoses of stroke (n = 10,719) were included in the study. Logistic regression was used to analyze the independent association of race and sex with the correct prehospital diagnosis of stroke. RESULTS: There were 10,719 patients discharged with primary diagnoses of stroke. Of those, 3,787 (35%) were transported by emergency medical services providers. Overall, 32% of patients ultimately diagnosed with stroke were identified in the prehospital setting. Correct prehospital recognition of stroke was lower among Hispanic patients (odds ratio [OR] = 0.77, 95% confidence interval [CI] 0.61 to 0.96), Asians (OR = 0.66, 95% CI 0.55 to 0.80), and others (OR = 0.71, 95% CI = 0.53 to 0.94), when compared with non-Hispanic whites, and in women compared with men (OR = 0.82, 95% CI = 0.71 to 0.94). Specificity for recognizing stroke was lower in females than males (OR = 0.84, 95% CI = 0.78 to 0.90). CONCLUSIONS: Significant disparities exist in prehospital stroke recognition.

Hospital charges associated with motorcycle crash factors: a quantile regression analysis.

BACKGROUND: Previous studies of motorcycle crash (MC) related hospital charges use trauma registries and hospital records, and do not adjust for the number of motorcyclists not requiring medical attention. This may lead to conservative estimates of helmet use effectiveness. METHODS: MC records were probabilistically linked with emergency department and hospital records to obtain total hospital charges. Missing data were imputed. Multivariable quantile regression estimated reductions in hospital charges associated with helmet use and other crash factors. RESULTS: Motorcycle helmets were associated with reduced median hospital charges of $256 (42% reduction) and reduced 98th percentile of $32,390 (33% reduction). After adjusting for other factors, helmets were associated with reductions in charges in all upper percentiles studied. Quantile regression models described homogenous and heterogeneous associations between other crash factors and charges. CONCLUSIONS: Quantile regression comprehensively describes associations between crash factors and hospital charges. Helmet use among motorcyclists is associated with decreased hospital charges.

Interobserver agreement in the clinical assessment of children with blunt abdominal trauma.

OBJECTIVES: The objective was to determine the interobserver agreement of historical and physical examination findings assessed during the emergency department (ED) evaluation of children with blunt abdominal trauma. METHODS: This was a planned substudy of a multicenter, prospective cohort study of children younger than 18 years of age evaluated for blunt abdominal trauma. Patients were excluded if injury occurred more than 24 hours prior to evaluation or if computed tomography (CT) imaging was obtained at another hospital prior to transfer to a study site. Two clinicians independently recorded their clinical assessments of a convenience sample of patients onto data collection forms within 60 minutes of each other and prior to CT imaging (if obtained) or knowledge of laboratory results. The authors categorized variables as either subjective symptoms (i.e., patient history) or objective findings (i.e., physical examination). For each variable recorded by the two observers, the agreement beyond that expected by chance was estimated, using the kappa (κ) statistic for categorical variables and weighted κ for ordinal variables. Variables with 95% lower confidence limits (LCLs) κ ≥ 0.4 (moderate agreement or better) were considered to have acceptable agreement. RESULTS: A total of 632 pairs of physician observations were obtained on 23 candidate variables. Acceptable agreement was achieved in 16 (70%) of the 23 variables tested. For six subjective symptoms, κ ranged from 0.48 (complaint of shortness of breath) to 0.90 (mechanism of injury), and only the complaint of shortness of breath had a 95% LCL κ < 0.4. For the 17 objective findings, κ ranged from -0.01 (pelvis instability) to 0.82 (seat belt sign present). The 95% LCL for κ was <0.4 for flank tenderness, abnormal chest auscultation, suspicion of alcohol or drug intoxication, pelvis instability, absence of bowel sounds, and peritoneal irritation. CONCLUSIONS: Observers can achieve at least acceptable agreement on the majority of historical and physical examination variables in children with blunt abdominal trauma evaluated in the ED. Those variables are candidates for consideration for development of a clinical prediction rule for intra-abdominal injury in children with blunt trauma.

Comparing least-squares and quantile regression approaches to analyzing median hospital charges.

BACKGROUND: Emergency department (ED) and hospital charges obtained from administrative data sets are useful descriptors of injury severity and the burden to EDs and the health care system. However, charges are typically positively skewed due to costly procedures, long hospital stays, and complicated or prolonged treatment for few patients. The median is not affected by extreme observations and is useful in describing and comparing distributions of hospital charges. A least-squares analysis employing a log transformation is one approach for estimating median hospital charges, corresponding confidence intervals (CIs), and differences between groups; however, this method requires certain distributional properties. An alternate method is quantile regression, which allows estimation and inference related to the median without making distributional assumptions. OBJECTIVES: The objective was to compare the log-transformation least-squares method to the quantile regression approach for estimating median hospital charges, differences in median charges between groups, and associated CIs. METHODS: The authors performed simulations using repeated sampling of observed statewide ED and hospital charges and charges randomly generated from a hypothetical lognormal distribution. The median and 95% CI and the multiplicative difference between the median charges of two groups were estimated using both least-squares and quantile regression methods. Performance of the two methods was evaluated. RESULTS: In contrast to least squares, quantile regression produced estimates that were unbiased and had smaller mean square errors in simulations of observed ED and hospital charges. Both methods performed well in simulations of hypothetical charges that met least-squares method assumptions. When the data did not follow the assumed distribution, least-squares estimates were often biased, and the associated CIs had lower than expected coverage as sample size increased. CONCLUSIONS: Quantile regression analyses of hospital charges provide unbiased estimates even when lognormal and equal variance assumptions are violated. These methods may be particularly useful in describing and analyzing hospital charges from administrative data sets.

Longitudinal experiences of children remaining at home after a first-time investigation for suspected maltreatment.

OBJECTIVE: To describe longitudinal change in risk for children remaining at home following a first-time investigation for suspected maltreatment. STUDY DESIGN: A retrospective cohort study of children remaining at home following first-time investigation for maltreatment using a nationally representative sample of households involved with Child Protective Services. Outcomes include poverty, social support, caregiver depression, intimate partner violence (IPV), drug/alcohol dependence, corporal punishment, and child behavior problems at baseline, 18, and 36 months following first-time Child Protective Services investigation. We present longitudinal models to (1) estimate prevalence of risk factors at each timepoint; and (2) examine associations between risk-specific service referrals and longitudinal change in risk factor prevalence. RESULTS: Our sample represented 1057056 US children remaining at home following first-time investigation for maltreatment. Almost 100000 (9.2%) children experienced out-of-home placement within 36 months. The prevalence of poverty (44.3%), poor social support (36.3%), caregiver depression (24.4%), IPV (22.1%), and internalizing (30.0%) and externalizing (35.8%) child behavior problems was above general population prevalence at baseline and remained high over the next 36 months. Referral to risk-specific services occurred in a minority of cases, but was associated with significant longitudinal reductions in IPV, drug/alcohol dependence, and externalizing child behavior problems. CONCLUSIONS: Children remaining at home following a first-time investigation for maltreatment live with persistent risk factors for repeat maltreatment. Appropriate service referrals are uncommon, but may be associated with meaningful reduction in risk over time. Pediatricians and policy makers may be able to improve outcomes in these families with appropriate service provision and referrals.

Observed seatbelt usage among drivers of heavy commercial vehicles in Utah.

National seatbelt observation surveys indicate commercial vehicle drivers' seatbelt usage is lower than passenger vehicle drivers. Seatbelts are effective at preventing injuries and death following motor vehicle crashes and an important component in decreasing morbidity and mortality related to commercial vehicle crashes. We conducted an observation survey of heavy commercial vehicle drivers' seatbelt usage to gather baseline data and to aid in planning prevention programs. We found that the observed heavy commercial vehicle drivers had a seatbelt usage rate of 64%, approximately 20% lower than the national rate for drivers of passenger vehicles. Our observations demonstrate a need to increase seatbelt usage among heavy commercial vehicle drivers. Specific programs and resources for intervention programs targeting heavy commercial vehicle drivers are warranted.