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.

Reducing Antibiotic Prescribing in Primary Care for Respiratory Illness.

BACKGROUND: One-third of outpatient antibiotic prescriptions for pediatric acute respiratory tract infections (ARTIs) are inappropriate. We evaluated a distance learning program's effectiveness for reducing outpatient antibiotic prescribing for ARTI visits. METHODS: In this stepped-wedge clinical trial run from November 2015 to June 2018, we randomly assigned 19 pediatric practices belonging to the Pediatric Research in Office Settings Network or the NorthShore University HealthSystem to 4 wedges. Visits for acute otitis media, bronchitis, pharyngitis, sinusitis, and upper respiratory infection for children 6 months to <11 years old without recent antibiotic use were included. Clinicians received the intervention as 3 program modules containing online tutorials and webinars on evidence-based communication strategies and antibioti c prescribing, booster video vignettes, and individualized antibiotic prescribing feedback reports over 11 months. The primary outcome was overall antibiotic prescribing rates for all ARTI visits. Mixed-effects logistic regression compared prescribing rates during each program module and a postintervention period to a baseline control period. Odds ratios were converted to adjusted rate ratios (aRRs) for interpretability. RESULTS: Among 72 723 ARTI visits by 29 762 patients, intention-to-treat analyses revealed a 7% decrease in the probability of antibiotic prescribing for ARTI overall between the baseline and postintervention periods (aRR 0.93; 95% confidence interval [CI], 0.90-0.96). Second-line antibiotic prescribing decreased for streptococcal pharyngitis (aRR 0.66; 95% CI, 0.50-0.87) and sinusitis (aRR 0.59; 95% CI, 0.44-0.77) but not for acute otitis media (aRR 0.93; 95% CI, 0.83-1.03). Any antibiotic prescribing decreased for viral ARTIs (aRR 0.60; 95% CI, 0.51-0.70). CONCLUSIONS: This program reduced antibiotic prescribing during outpatient ARTI visits; broader dissemination may be beneficial.

Pediatric asthma hospitalizations among urban minority children and the continuity of primary care.

OBJECTIVE: To examine the effect of ambulatory health care processes on asthma hospitalizations. METHODS: A retrospective cohort study using electronic health records was completed. Patients aged 2-18 years receiving health care from 1 of 5 urban practices between Jan 1, 2004 and Dec 31, 2008 with asthma documented on their problem list were included. Independent variables were modifiable health care processes in the primary care setting: (1) use of asthma controller medications; (2) regular assessment of asthma symptoms; (3) use of spirometry; (4) provision of individualized asthma care plans; (5) timely influenza vaccination; (6) access to primary healthcare; and (7) use of pay for performance physician incentives. Occurrence of one or more asthma hospitalizations was the primary outcome of interest. We used a log linear model (Poisson regression) to model the association between the factors of interest and number of asthma hospitalizations. RESULTS: 5,712 children with asthma were available for analysis. 96% of the children were African American. The overall hospitalization rate was 64 per 1,000 children per year. None of the commonly used asthma-specific indicators of high quality care were associated with fewer asthma hospitalizations. Children with documented asthma who experienced a lack of primary health care (no more than one outpatient visit at their primary care location in the 2 years preceding hospitalization) were at higher risk of hospitalization compared to those children with a greater number of visits (incidence rate ratio 1.39; 95% CI 1.09-1.78). CONCLUSIONS: In children with asthma, more frequent primary care visits are associated with reduced asthma hospitalizations.

Electronic Health Record Mid-Parental Height Auto-Calculator for Growth Assessment in Primary Care.

Primary care providers are charged with distinguishing children with an underlying growth problem from those with healthy variant short stature. Knowing the heights of the biological parents aids in making that decision. This study sought to determine the feasibility and functionality of an electronic mid-parental height (MPH) auto-calculator in the clinical assessment of child growth in a pediatric primary care setting. Clinicians completed surveys for 62% of 6803 children (mean height 13 ± 7 percentile) with recorded parent heights. Collecting parent height data required <30 seconds in 91% of encounters. The MPH tool confirmed clinicians' initial growth assessment in 79% of cases and changed it in 4%; the remainder did not use the tool. Clinicians who changed assessment were more likely (P < .0001) to pursue more comprehensive evaluation. The MPH tool was a quick, functional resource as a component of an electronic health record system in actual, busy, pediatric primary care practices.

Imputing Missing Race/Ethnicity in Pediatric Electronic Health Records: Reducing Bias with Use of U.S. Census Location and Surname Data.

OBJECTIVE: To assess the utility of imputing race/ethnicity using U.S. Census race/ethnicity, residential address, and surname information compared to standard missing data methods in a pediatric cohort. DATA SOURCES/STUDY SETTING: Electronic health record data from 30 pediatric practices with known race/ethnicity. STUDY DESIGN: In a simulation experiment, we constructed dichotomous and continuous outcomes with pre-specified associations with known race/ethnicity. Bias was introduced by nonrandomly setting race/ethnicity to missing. We compared typical methods for handling missing race/ethnicity (multiple imputation alone with clinical factors, complete case analysis, indicator variables) to multiple imputation incorporating surname and address information. PRINCIPAL FINDINGS: Imputation using U.S. Census information reduced bias for both continuous and dichotomous outcomes. CONCLUSIONS: The new method reduces bias when race/ethnicity is partially, nonrandomly missing.

Racial differences in antibiotic prescribing by primary care pediatricians.

OBJECTIVE: To determine whether racial differences exist in antibiotic prescribing among children treated by the same clinician. METHODS: Retrospective cohort study of 1,296,517 encounters by 208,015 children to 222 clinicians in 25 practices in 2009. Clinical, antibiotic prescribing, and demographic data were obtained from a shared electronic health record. We estimated within-clinician associations between patient race (black versus nonblack) and (1) antibiotic prescribing or (2) acute respiratory tract infection diagnosis after adjusting for potential patient-level confounders. RESULTS: Black children were less likely to receive an antibiotic prescription from the same clinician per acute visit (23.5% vs 29.0%, odds ratio [OR] 0.75; 95% confidence interval [CI]: 0.72-0.77) or per population (0.43 vs 0.67 prescriptions/child/year, incidence rate ratio 0.64; 95% CI 0.63-0.66), despite adjustment for age, gender, comorbid conditions, insurance, and stratification by practice. Black children were also less likely to receive diagnoses that justified antibiotic treatment, including acute otitis media (8.7% vs 10.7%, OR 0.79; 95% CI 0.75-0.82), acute sinusitis (3.6% vs 4.4%, OR 0.79; 95% CI 0.73-0.86), and group A streptococcal pharyngitis (2.3% vs 3.7%, OR 0.60; 95% CI 0.55-0.66). When an antibiotic was prescribed, black children were less likely to receive broad-spectrum antibiotics at any visit (34.0% vs 36.9%, OR 0.88; 95% CI 0.82-0.93) and for acute otitis media (31.7% vs 37.8%, OR 0.75; 95% CI 0.68-0.83). CONCLUSIONS: When treated by the same clinician, black children received fewer antibiotic prescriptions, fewer acute respiratory tract infection diagnoses, and a lower proportion of broad-spectrum antibiotic prescriptions than nonblack children. Reasons for these differences warrant further study.

Asthma outcomes: healthcare utilization and costs.

BACKGROUND: Measures of healthcare utilization and indirect impact of asthma morbidity are used to assess clinical interventions and estimate cost. OBJECTIVE: National Institutes of Health institutes and other federal agencies convened an expert group to propose standardized measurement, collection, analysis, and reporting of healthcare utilization and cost outcomes in future asthma studies. METHODS: We used comprehensive literature reviews and expert opinion to compile a list of asthma healthcare utilization outcomes that we classified as core (required in future studies), supplemental (used according to study aims and standardized), and emerging (requiring validation and standardization). We also have identified methodology to assign cost to these outcomes. This work was discussed at an National Institutes of Health-organized workshop in March 2010 and finalized in September 2011. RESULTS: We identified 3 ways to promote comparability across clinical trials for measures of healthcare utilization, resource use, and cost: (1) specify the study perspective (patient, clinician, payer, and society); (2) standardize the measurement period (ideally 12 months); and (3) use standard units to measure healthcare utilization and other asthma-related events. CONCLUSIONS: Large clinical trials and observational studies should collect and report detailed information on healthcare utilization, intervention resources, and indirect impact of asthma, so that costs can be calculated and cost-effectiveness analyses can be conducted across several studies. Additional research is needed to develop standard, validated survey instruments for collection of provider-reported and participant-reported data regarding asthma-related health care.

Effectiveness of a clinical/billing alert system vs education alone in assisting physicians to correctly bill for asthma nebulization treatments in the pediatric office setting.

Missed billing opportunities can be a negative outcome of the implementation of non-interfaced clinical and billing information systems. We describe a decision support system that prompts physicians with suggested billing options at the point of ordering nebulized medications. A baseline rate of 70% missed billing opportunities decreased to 38% with education alone and to 7% with an alert system. Decision support can best support billing opportunities when automated and appearing at the point of care.