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Background: The number of youth presenting to hospitals with suicidality and/or self-harm has increased substantially in recent years. We implemented a multihospital quality improvement (QI) collaborative from February 1, 2018 to January 31, 2019, aiming for an absolute increase in hospitals' mean rate of caregiver lethal means counseling (LMC) of 10 percentage points (from a baseline mean performance of 68% to 78%) by the end of the collaborative, and to evaluate the effectiveness of the collaborative on LMC, adjusting for secular trends., Methods: This 8 hospital collaborative used a structured process of alternating learning sessions and action periods to improve LMC across hospitals. Electronic medical record documentation of caregiver LMC was evaluated during 3 phases: precollaborative, active QI collaborative, and postcollaborative. We used statistical process control to evaluate changes in LMC monthly. Following collaborative completion, interrupted time series analyses were used to evaluate changes in the level and trend and slope of LMC, adjusting for covariates., Results: In the study, 4208 children and adolescents were included-1314 (31.2%) precollaborative, 1335 (31.7%) during the active QI collaborative, and 1559 (37.0%) postcollaborative. Statistical process control analyses demonstrated that LMC increased from a hospital-level mean of 68% precollaborative to 75% (February 2018) and then 86% (October 2018) during the collaborative. In interrupted time series analyses, there were no significant differences in LMC during and following the collaborative beyond those expected based on pre-collaborative trends., Conclusions: LMC increased during the collaborative, but the increase did not exceed expected trends. Interventions developed by participating hospitals may be beneficial to others aiming to improve LMC for caregivers of hospitalized youth with suicidality., (Copyright © 2022 by the American Academy of Pediatrics.)

Background and Objectives: The Pediatric Respiratory Illness Measurement System (PRIMES) generates condition-specific composite quality scores for asthma, bronchiolitis, croup, and pneumonia in hospital-based settings. We sought to determine if higher PRIMES composite scores are associated with improved health-related quality of life, decreased length of stay (LOS), and decreased reuse., Methods: We conducted a prospective cohort study of 2334 children in 5 children's hospitals between July 2014 and June 2016. Surveys administered on admission and 2 to 6 weeks postdischarge assessed the Pediatric Quality of Life Inventory (PedsQL). Using medical records data, 3 PRIMES scores were calculated (0-100 scale; higher scores = improved adherence) for each condition: an overall composite (including all quality indicators for the condition), an overuse composite (including only indicators for care that should not be provided [eg, chest radiographs for bronchiolitis]), and an underuse composite (including only indicators for care that should be provided [eg, dexamethasone for croup]). Multivariable models assessed relationships between PRIMES composite scores and (1) PedsQL improvement, (2) LOS, and (3) 30-day reuse., Results: For every 10-point increase in PRIMES overuse composite scores, LOS decreased by 8.8 hours (95% confidence interval [CI] -11.6 to -6.1) for bronchiolitis, 3.1 hours (95% CI -5.5 to -1.0) for asthma, and 2.0 hours (95% CI -3.9 to -0.1) for croup. Bronchiolitis overall composite scores were also associated with shorter LOS. PRIMES composites were not associated with PedsQL improvement or reuse., Conclusions: Better performance on some PRIMES condition-specific composite measures is associated with decreased LOS, with scores on overuse quality indicators being a primary driver of this relationship., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2019 by the American Academy of Pediatrics.)

Electronic cigarettes (e-cigarettes) and vape devices have rapidly become the most common tobacco products used by youth, driven in large part by marketing and advertising by e-cigarette companies. There is substantial evidence that adolescent e-cigarette use leads to use of combustible tobacco products. E-cigarette companies commonly advertise that e-cigarettes contain nicotine, flavoring chemicals, and humectants (propylene glycol and/or vegetable glycerin), but toxicants, ultrafine particles, and carcinogens have also been found in e-cigarette solutions and emissions, many of which are known to cause adverse health effects. Most major e-cigarette brands are owned by big tobacco companies that use similar marketing and advertising strategies to attract youth users as they did with traditional tobacco products. In this review, we provide an overview of e-cigarettes and vape devices with an emphasis on the impact for the pediatric population. We describe the vast array of e-cigarette devices and solutions, concern for nicotine addiction, and the scientific background on the known health harms. There are accompanying visual depictions to assist in identifying these products, including newer e-cigarette products and JUUL. Because current federal regulations are insufficient to protect youth from e-cigarette use, exposure, and nicotine addiction, there are recommendations for pediatricians and pediatric health care providers to counsel and advocate for a tobacco-free lifestyle for patients and families., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2019 by the American Academy of Pediatrics.)

Background: The impact of secondhand marijuana smoke exposure on children is unknown. New methods allow for the detection of marijuana smoke exposure in children., Methods: We studied children who were hospitalized in Colorado and had a parent participating in a smoking cessation study; all children had urine samples remaining from the original study as well as consent for future research. Parents completed a survey and urine samples were analyzed for cotinine and marijuana metabolites, including 11-hydroxy-Δ9-tetrahydrocannabinol (COOH-THC), by using liquid chromatography-tandem mass spectrometry., Results: The median age of the children was 6.0 years (range 0-17 years); 57% were boys. Half (55%) were white, 12% were African American, and 33% were of another race; 39% identified as Hispanic. Approximately 46% had detectable COOH-THC, and 11% had detectable THC. Of those with detectable THC, 3 were teenagers, and 6 were <8 years of age. There were no significant differences in urinary COOH-THC concentrations by age, sex, race and/or ethnicity, or socioeconomic status. Children with positive results for COOH-THC were more likely to have parents who use marijuana daily, smoke marijuana versus other forms of use, use daily in the home, and smoke marijuana in another room if the children are around compared with smoking outside., Conclusions: Approximately half of the children who qualified for our study had biological evidence of exposure to marijuana. Researchers in studies such as this provide valuable data on secondhand exposure to children from parents using tobacco and marijuana and can inform public health policies to reduce harm., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2018 by the American Academy of Pediatrics.)

Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.

Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.

Background and Objectives: Delivering high-quality care to children living in rural areas can be challenging. Compared with nonrural children, rural children often experience worse health outcomes. We assessed characteristics and hospitalizations of rural children admitted to US children's hospitals in 2012., Methods: Retrospective cohort analysis of 672190 admissions between January 1, 2012, and December 31, 2012, to 41 children's hospitals in the Pediatric Health Information System database. ZIP codes were used to assess the patients' rurality (by using Rural-Urban Community Areas classification), residence in a Health Professional Shortage Area, and family income. Multivariable regression was used to compare patient characteristics and hospital utilization between rural and nonrural children., Results: Rural children accounted for 12% of all admissions (n = 81 360) to the children's hospitals. Compared with nonrural children, rural children lived farther from the hospital (median [interquartile range]: 68 [48-104] vs 12 [6-24] miles) and more often resided in low-income ZIP codes (53% vs 24%) and Health Professional Shortage Areas (20% vs 4%) (P < .001 for all). Rural children had a higher prevalence of complex chronic conditions (44% vs 37%; P < .001) and medical technology assistance (15% vs 12%; P < .001). In multivariable analysis, rural children experienced higher inpatient costs (mean: $8507 vs $7814; P < .001) and higher odds of 30-day readmission (odds ratio: 1.1; 95% confidence interval: 1.0-1.1; P < .001)., Conclusions: Rural children hospitalized at children's hospitals have high rates of medical complexity and often reside in low-income and medically underserved areas. Compared with nonrural children, rural children experience more expensive hospitalizations and more frequent readmissions., (Copyright © 2016 by the American Academy of Pediatrics.)

Objective: To investigate the association of the 2011 American Academy of Otolaryngology Head and Neck Surgery guidelines with perioperative care processes and outcomes in children undergoing tonsillectomy., Methods: We conducted a retrospective cohort study of otherwise healthy children undergoing tonsillectomy between January 2009 and January 2013 at 29 US children's hospitals participating in the Pediatric Health Information System. We measured evidence-based processes suggested by the guidelines (perioperative dexamethasone and no antibiotic use) and outcomes (30-day tonsillectomy complication-related revisits). We analyzed rates aggregated over the preguideline and postguideline periods and then by month over time by using interrupted time series., Results: Of 111,813 children who underwent tonsillectomy, 54,043 and 57,770 did so in the preguideline and postguideline periods, respectively. Dexamethasone use increased from 74.6% to 77.4% (P < .001) in the preguideline to postguideline period, as did its rate of change in use (percentage change per month, -0.02% to 0.29%; P < .001). Antibiotic use decreased from 34.7% to 21.8% (P < .001), as did its rate of change in use (percentage change per month, -0.17% to -0.56%; P < .001). Revisits for bleeding remained stable; however, total revisits to the hospital for tonsillectomy complications increased from 8.2% to 9.0% (P < .001) because of an increase in revisits for pain. Hospital-level results were similar., Conclusions: The guidelines were associated with some improvement in evidence-based perioperative care processes but no improvement in outcomes. Dexamethasone use increased slightly, and antibiotic use decreased substantially. Revisits for tonsillectomy-related complications increased modestly over time because of revisits for pain., (Copyright © 2015 by the American Academy of Pediatrics.)

Background and Objectives: Asthma, pneumonia, and bronchiolitis are the leading causes of admission for pediatric patients; however, the lack of accepted benchmarks is a barrier to quality improvement efforts. Using data from children hospitalized with asthma, bronchiolitis, or pneumonia, the goals of this study were to: (1) measure the 2012 performance of freestanding children's hospitals using clinical quality indicators; and (2) construct achievable benchmarks of care (ABCs) for the clinical quality indicators., Methods: This study was a cross-sectional trial using the Pediatric Health Information System database. Patient inclusions varied according to diagnosis: asthma (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] codes 493.0-493.92) from 2 to 18 years of age; bronchiolitis (ICD-9-CM codes 466.11 and 466.19) from 2 months to 2 years of age; and pneumonia (ICD-9-CM codes 480-486, 487.0) from 2 months to 18 years of age. ABC methods use the best-performing hospitals that comprise at least 10% of the total population to compute the benchmark., Results: Encounters from 42 hospitals included: asthma, 22186; bronchiolitis, 14882; and pneumonia, 12983. Asthma ABCs include: chest radiograph utilization, 24.5%; antibiotic administration, 6.6%; and ipratropium bromide use >2 days, 0%. Bronchiolitis ABCs include: chest radiograph utilization, 32.4%; viral testing, 0.6%; antibiotic administration, 18.5%; bronchodilator use >2 days, 11.4%; and steroid use, 6.4%. Pneumonia ABCs include: complete blood cell count utilization, 28.8%; viral testing, 1.5%; initial narrow-spectrum antibiotic use, 60.7%; erythrocyte sedimentation rate, 3.5%; and C-reactive protein, 0.1%., Conclusions: We report achievable benchmarks for inpatient care for asthma, bronchiolitis, and pneumonia. The establishment of national benchmarks will drive improvement at individual hospitals., (Copyright © 2014 by the American Academy of Pediatrics.)

Objective: To describe the quality of care for routine tonsillectomy at US children's hospitals., Methods: We conducted a retrospective cohort study of low-risk children undergoing same-day tonsillectomy between 2004 and 2010 at 36 US children's hospitals that submit data to the Pediatric Health Information System Database. We assessed quality of care by measuring evidence-based processes suggested by national guidelines, perioperative dexamethasone and no antibiotic use, and outcomes, 30-day tonsillectomy-related revisits to hospital., Results: Of 139,715 children who underwent same-day tonsillectomy, 10,868 (7.8%) had a 30-day revisit to hospital. There was significant variability in the administration of dexamethasone (median 76.2%, range 0.3%-98.8%) and antibiotics (median 16.3%, range 2.7%-92.6%) across hospitals. The most common reasons for revisits were bleeding (3.0%) and vomiting and dehydration (2.2%). Older age (10-18 vs 1-3 years) was associated with a greater standardized risk of revisits for bleeding and a lower standardized risk of revisits for vomiting and dehydration. After standardizing for differences in patients and year of surgery, there was significant variability (P < .001) across hospitals in total revisits (median 7.8%, range 3.0%-12.6%), revisits for bleeding (median 3.0%, range 1.0%-8.8%), and revisits for vomiting and dehydration (median 1.9%, range 0.3%-4.4%)., Conclusions: Substantial variation exists in the quality of care for routine tonsillectomy across US children's hospitals as measured by perioperative dexamethasone and antibiotic use and revisits to hospital. These data on evidence-based processes and relevant patient outcomes should be useful for hospitals' tonsillectomy quality improvement efforts.

Objective: We sought to characterize variation in hospital resource utilization and readmission for diabetic ketoacidosis (DKA) across US children's hospitals., Methods: The study sample included a retrospective cohort of children aged 2 to 18 years with a diagnosis of DKA at 38 children's hospitals between 2004 and 2009. The main outcomes were resource utilization as determined by total standardized cost per hospitalization, overall and non-ICU length of stay (LOS), and readmission for DKA within 30 and 365 days., Results: There were 24,890 DKA admissions, and 20.3% of these were readmissions within 1 year. The mean hospital-level total standardized cost was $7142 (range $4125-$11,916). The mean hospital-level LOS was 2.5 days (1.5-3.7), and the non-ICU portion was 1.9 days (0.7-2.7). The mean hospital-level readmission within 365 days was 18.7% (6.5%-41.1%) and within 30 days was 2.5% (0.0%-7.1%). Hospital bed days overall, and in particular the non-ICU portion, accounted for the majority of the total standardized cost per hospitalization (overall 57%; non-ICU 36%) and explained most of the variation in resource use. Even after adjusting for difference in patient characteristics across hospitals, widespread differences existed across hospitals in total standardized cost, LOS, and readmission rates (P < .001)., Conclusions: Readmission for DKA within a year of hospitalization is common. US children's hospitals vary widely in resource use, hospital LOS, and readmission rates for patients with DKA. Our study highlights the need for additional research to understand these differences and to identify the most cost-effective strategies for managing diabetes across the continuum of care.

Objective: There is no safe level of secondhand tobacco-smoke exposure, and no previous studies have explored multiunit housing as a potential contributor to secondhand tobacco-smoke exposure in children. We hypothesized that children who live in apartments have higher cotinine levels than those who live in detached homes, when controlling for demographics., Methods: We analyzed data from the 2001-2006 National Health and Nutrition Examination Survey. The housing types we included in our study were detached houses (including mobile homes), attached houses, and apartments. Our study subjects were children between the ages of 6 and 18 years. Cotinine levels were used to assess secondhand tobacco-smoke exposure, and those living with someone who smoked inside the home were excluded. χ(2) tests, t tests, and Tobit regression models were used in Stata. Sample weights accounted for the complex survey design., Results: Of 5002 children in our study, 73% were exposed to secondhand tobacco smoke. Children living in apartments had an increase in cotinine of 45% over those living in detached houses. This increase was 212% (P < .01) for white residents and 46% (P < .03) for black residents, but there was no significant increase for those of other races/ethnicities. At every cutoff level of cotinine, children in apartments had higher rates of exposure. The exposure effect of housing type was most pronounced at lower levels of cotinine., Conclusions: Most children without known secondhand tobacco-smoke exposure inside the home still showed evidence of tobacco-smoke exposure. Children in apartments had higher mean cotinine levels than children in detached houses. Potential causes for this result could be seepage through walls or shared ventilation systems. Smoking bans in multiunit housing may reduce children's exposure to tobacco smoke.