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Objective: Broadly, to create a bidirectional communication link between public health surveillance and clinical practice. Specifically, to measure the impact of integrating public health surveillance data into an existing clinical prediction rule. We incorporate data about recent local trends in meningitis epidemiology into a prediction model differentiating aseptic from bacterial meningitis.Design and Measurements: Retrospective analysis of a cohort of all 696 children with meningitis admitted to a large urban pediatric hospital from 1992 to 2000. We modified a published bacterial meningitis score by adding a new epidemiological context adjustor variable. We examined 540 possible rules for this adjustor, varying both the number of aseptic meningitis cases that needed to be seen, and the recent time window in which they were seen. We performed sensitivity analyses with each of 540 possibilities in order to identify the optimal rule--namely, the one that included the most cases of aseptic meningitis without missing additional cases of bacterial meningitis, as compared with the published prediction model. We used bootstrap methods to validate this new score.Results: The optimal rule was found to be: "at least four cases of aseptic meningitis in the previous 10 days." The epidemiological context adjustor based on surveillance of recent cases of meningitis allowed the correct identification of an additional 47 cases (7%) of aseptic meningitis without missing any additional cases of bacterial meningitis. The epidemiological context adjustor was validated, showing significance in 84% of 1,000 bootstrap samples.Conclusion: Epidemiological contextual information can improve the performance of a clinical prediction rule. We provide a methodological framework for leveraging regional surveillance data to improve medical decision-making. [ABSTRACT FROM AUTHOR]

Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: AFM is on the editorial board of the Journal of Pediatrics. The other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. No funding was secured for this study.

Study Objective: The workload of clinical documentation contributes to health care costs and professional burnout. The advent of generative artificial intelligence language models presents a promising solution. The perspective of clinicians may contribute to effective and responsible implementation of such tools. This study sought to evaluate 3 uses for generative artificial intelligence for clinical documentation in pediatric emergency medicine, measuring time savings, effort reduction, and physician attitudes and identifying potential risks and barriers., Methods: This mixed-methods study was performed with 10 pediatric emergency medicine attending physicians from a single pediatric emergency department. Participants were asked to write a supervisory note for 4 clinical scenarios, with varying levels of complexity, twice without any assistance and twice with the assistance of ChatGPT Version 4.0. Participants evaluated 2 additional ChatGPT-generated clinical summaries: a structured handoff and a visit summary for a family written at an 8th grade reading level. Finally, a semistructured interview was performed to assess physicians' perspective on the use of ChatGPT in pediatric emergency medicine. Main outcomes and measures included between subjects' comparisons of the effort and time taken to complete the supervisory note with and without ChatGPT assistance. Effort was measured using a self-reported Likert scale of 0 to 10. Physicians' scoring of and attitude toward the ChatGPT-generated summaries were measured using a 0 to 10 Likert scale and open-ended questions. Summaries were scored for completeness, accuracy, efficiency, readability, and overall satisfaction. A thematic analysis was performed to analyze the content of the open-ended questions and to identify key themes., Results: ChatGPT yielded a 40% reduction in time and a 33% decrease in effort for supervisory notes in intricate cases, with no discernible effect on simpler notes. ChatGPT-generated summaries for structured handoffs and family letters were highly rated, ranging from 7.0 to 9.0 out of 10, and most participants favored their inclusion in clinical practice. However, there were several critical reservations, out of which a set of general recommendations for applying ChatGPT to clinical summaries was formulated., Conclusion: Pediatric emergency medicine attendings in our study perceived that ChatGPT can deliver high-quality summaries while saving time and effort in many scenarios, but not all., (Copyright © 2024 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Background: The European Food Safety Authority (EFSA) recommended lowering their estimated tolerable daily intake (TDI) for bisphenol A (BPA) 20,000-fold to 0.2  ng / kg  body weight  ( BW ) / day . BPA is an extensively studied high production volume endocrine disrupting chemical (EDC) associated with a vast array of diseases. Prior risk assessments of BPA by EFSA as well as the US Food and Drug Administration (FDA) have relied on industry-funded studies conducted under good laboratory practice protocols (GLP) requiring guideline end points and detailed record keeping, while also claiming to examine (but rejecting) thousands of published findings by academic scientists. Guideline protocols initially formalized in the mid-twentieth century are still used by many regulatory agencies. EFSA used a 21st century approach in its reassessment of BPA and conducted a transparent, but time-limited, systematic review that included both guideline and academic research. The German Federal Institute for Risk Assessment (BfR) opposed EFSA's revision of the TDI for BPA., Objectives: We identify the flaws in the assumptions that the German BfR, as well as the FDA, have used to justify maintaining the TDI for BPA at levels above what a vast amount of academic research shows to cause harm. We argue that regulatory agencies need to incorporate 21st century science into chemical hazard identifications using the CLARITY-BPA (Consortium Linking Academic and Regulatory Insights on BPA Toxicity) nonguideline academic studies in a collaborative government-academic program model., Discussion: We strongly endorse EFSA's revised TDI for BPA and support the European Commission's (EC) apparent acceptance of this updated BPA risk assessment. We discuss challenges to current chemical risk assessment assumptions about EDCs that need to be addressed by regulatory agencies to, in our opinion, become truly protective of public health. Addressing these challenges will hopefully result in BPA, and eventually other structurally similar bisphenols (called regrettable substitutions) for which there are known adverse effects, being eliminated from all food-related and many other uses in the EU and elsewhere. https://doi.org/10.1289/EHP13812.

Background: Clinical pathways standardize healthcare utilization, but their impact on healthcare equity is poorly understood. This study aims to measure the effect of a bronchiolitis pathway on management decisions by preferred language for care., Methods: We included all emergency department encounters for patients aged 1-12 months with bronchiolitis from 1/1/2010 to 10/31/2020. The prepathway period ended 10/31/2011, and the postpathway period was 1/1/2012-10/31/2020. We performed retrospective interrupted time series analyses to assess the impact of the clinical pathway by English versus non-English preferred language on the following outcomes: chest radiography (CXR), albuterol use, 7-day return visit, 72-hour return to admission, antibiotic use, and corticosteroid use. Analyses were adjusted for presence of a complex chronic condition., Results: There were 1485 encounters in the preperiod (77% English, 14% non-English, 8% missing) and 7840 encounters in the postperiod (79% English, 15% non-English, 6% missing). CXR, antibiotic, and albuterol utilization exhibited sustained decreases over the study period. Pathway impact did not differ by preferred language for any outcome except albuterol utilization. The prepost slope effect of albuterol utilization was 10% greater in the non-English versus the English group (p for the difference by language = 0.022)., Conclusions: A clinical pathway was associated with improvements in care regardless of preferred language. More extensive studies involving multiple pathways and care settings are needed to assess the impact of clinical pathways on health equity., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

The National Center for Biotechnology Information (NCBI) provides online information resources for biology, including the GenBank® nucleic acid sequence database and the PubMed® database of citations and abstracts published in life science journals. NCBI provides search and retrieval operations for most of these data from 35 distinct databases. The E-utilities serve as the programming interface for most of these databases. Resources receiving significant updates in the past year include PubMed, PMC, Bookshelf, SciENcv, the NIH Comparative Genomics Resource (CGR), NCBI Virus, SRA, RefSeq, foreign contamination screening tools, Taxonomy, iCn3D, ClinVar, GTR, MedGen, dbSNP, ALFA, ClinicalTrials.gov, Pathogen Detection, antimicrobial resistance resources, and PubChem. These resources can be accessed through the NCBI home page at https://www.ncbi.nlm.nih.gov., (Published by Oxford University Press on behalf of Nucleic Acids Research 2023.)

The National Center for Biotechnology Information (NCBI) provides online information resources for biology, including the GenBank® nucleic acid sequence database and the PubMed® database of citations and abstracts published in life science journals. NCBI provides search and retrieval operations for most of these data from 35 distinct databases. The E-utilities serve as the programming interface for most of these databases. New resources include the Comparative Genome Resource (CGR) and the BLAST ClusteredNR database. Resources receiving significant updates in the past year include PubMed, PMC, Bookshelf, IgBLAST, GDV, RefSeq, NCBI Virus, GenBank type assemblies, iCn3D, ClinVar, GTR, dbGaP, ALFA, ClinicalTrials.gov, Pathogen Detection, antimicrobial resistance resources, and PubChem. These resources can be accessed through the NCBI home page at https://www.ncbi.nlm.nih.gov., (Published by Oxford University Press on behalf of Nucleic Acids Research 2022.)

Environmental toxicant exposure, according to many researchers in the field, is the leading cause of chronic disease and premature death globally. For the purposes of this review, we will use obesity and type 2 diabetes as examples of toxicant-induced chronic diseases. Endocrine Disrupting chemicals (EDCs) such as phthalates and bisphenols, per- and polyfluoroalkyl substances (PFAS), and persistent organic pollutants (POPs) have been linked to increased risk for obesity and type 2 diabetes in both animal and large epidemiologic studies. These two conditions are well-documented examples of evidence for mechanisms of both adipose metabolism disruption and pancreatic cell dysfunction. The implications for health care directives to both identify, prevent, and treat these exposures are reviewed., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Background: Blood centers have a dual mission to protect donors and patients; donor safety is paramount to maintaining an adequate blood supply. Elucidating donor factors associated with adverse reactions (AR) is critical to this mission., Study Design/methods: A retrospective cohort analysis of whole blood donors from 2003 to 2020 was conducted at a single blood center in northern California. Adjusted odds ratios (AORs) with 95% CIs for ARs were estimated via multivariable logistic regression on demographics, donation history, and physical examination data. Where appropriate, Wilcoxon-Rank Sum and chi-squared tests were used to determine significance., Results: First-time blood donors (FTD) exhibited a higher AR rate than repeat donors (4.4% vs. 1.9% p < .0001). When compared with FTDs without AR, FTDs with ARs (FT-AR) were less likely to return (30.0% vs. 47.3%, p < .0001), and, of those who returned, had a higher rate of reaction 20.2% versus 2.8% (p < .001). Factors found to be associated with FT-AR (younger age, increased heart rate, and higher diastolic blood pressure) still correlated positively with AR on return donation, but to a lower degree. FTD who potentially witnessed an AR had a lower return rate (44.6% vs. 47.3%, p = <.001) and donated fewer units (2.38 vs. 3.37, p < .001) when compared to FTD who did not witness an AR., Conclusion: The AR on FTD increases the AR likelihood of return donation. Longitudinal analysis shows that a time-based deferral policy targeted at FT-AR young donors can reduce the number of ARs while not dramatically impacting the blood supply., (© 2022 AABB.)

Objectives: Risk tolerance and risk perceptions may impact clinicians' decisions to obtain diagnostic tests. We sought to determine whether physician risk perception was associated with the decision to obtain blood or imaging tests among children who present to the emergency department with fever., Methods: We conducted a retrospective, cross-sectional study in the Boston Children's Hospital emergency department. We included children aged 6 months to 18 years from May 1, 2014 to April 30, 2019, with fever. Our primary outcome was diagnostic testing: obtaining a blood and/or imaging test. We assessed risk perception using 3 scales: the Risk Tolerance Scale (RTS), Stress From Uncertainty Scale (SUS), and Malpractice Fear Scale (MFS). A z score was assigned to each physician for each scale. Mixed-effects logistic regression assessed the association between physician risk perception and blood or imaging testing. We also examined the relationship between each risk perception scale and several secondary outcomes: blood testing, urine testing, diagnostic imaging, specialist consultation, hospitalization, and revisit within 72 hours., Results: The response rate was 55/56 (98%). We analyzed 12,527 encounters. Blood/imaging testing varied between physicians (median, 48%; interquartile range, 41%-53%; range, 30%-71%). Risk Tolerance Scale responses were not associated with blood/imaging testing (odds ratio [OR], 1.03 per SD of increased risk perception; 95% confidence interval [CI], 0.95-1.13). Stress From Uncertainty Scale responses were not associated with blood/imaging testing (OR, 1.04 per SD; 95% CI, 0.95-1.14). Malpractice Fear Scale responses were not associated with blood/imaging testing (OR, 1.00 per SD; 95% CI, 0.91-1.09). There was no significant association between RTS, MFS, or SUS and any secondary outcome, except that there was a weak association between SUS and specialist consultation (OR, 1.12; 95% CI, 1.00-1.24)., Conclusions: Across 55 pediatric emergency physicians with variable testing practices, there was no association between risk perception and blood/imaging testing in febrile children., Competing Interests: Disclosure: K.A.M. received funding through award 1K08HS026503 from the Agency for Healthcare Research and Quality. The other authors declare no conflict of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Several approaches exist today for developing predictive models across multiple clinical sites, yet there is a lack of comparative data on their performance, especially within the context of EHR-based prediction models. We set out to provide a framework for prediction across healthcare settings. As a case study, we examined an ED disposition prediction model across three geographically and demographically diverse sites. We conducted a 1-year retrospective study, including all visits in which the outcome was either discharge-to-home or hospitalization. Four modeling approaches were compared: a ready-made model trained at one site and validated at other sites, a centralized uniform model incorporating data from all sites, multiple site-specific models, and a hybrid approach of a ready-made model re-calibrated using site-specific data. Predictions were performed using XGBoost. The study included 288,962 visits with an overall admission rate of 16.8% (7.9-26.9%). Some risk factors for admission were prominent across all sites (e.g., high-acuity triage emergency severity index score, high prior admissions rate), while others were prominent at only some sites (multiple lab tests ordered at the pediatric sites, early use of ECG at the adult site). The XGBoost model achieved its best performance using the uniform and site-specific approaches (AUC = 0.9-0.93), followed by the calibrated-model approach (AUC = 0.87-0.92), and the ready-made approach (AUC = 0.62-0.85). Our results show that site-specific customization is a key driver of predictive model performance., (© 2021. The Author(s).)

Objectives: Previous research has identified ethnic differences in parents' beliefs about fever, but whether patient ethnicity is associated with health care use for fever is uncertain. Our objectives were to describe the national rate of pediatric visits to the emergency department (ED) for fever and to determine whether there is variation in this rate by patient ethnicity., Methods: Using the National Hospital Ambulatory Medical Care Survey between 2012 and 2015, we estimated the proportion of ED visits with a complaint of fever by patients 0 to 18 years old and compared this proportion across patient ethnicity. We performed multivariable logistic regression controlling for sociodemographic characteristics and visit acuity to determine whether patient ethnicity was independently associated with visits for fever., Results: Fever was the reason for 19% [95% confidence interval (CI), 18%-20%] of pediatric visits to the ED, and the proportion of visits for fever was highest among Hispanic patients (25%; 95% CI, 23%-27%) and lowest among non-Hispanic white patients (15%; 95% CI, 14%-17%). In multivariable analysis, the adjusted odds of visits for fever were greater for Hispanic patients (odds ratio, 1.56; 95% CI, 1.38-1.83) and non-Hispanic non-black patients of other races (1.34; 95% CI, 1.02-1.77) compared with non-Hispanic white patients., Conclusions: There is significant ethnic variation in the use of emergency medical services for fever in the United States, and these disparities are not fully explained by differences in the acuity of illness or differences in socioeconomic status. Interventions to empower parents to manage nonurgent pediatric fever should incorporate ethnocultural differences in parents' understanding of fever., Competing Interests: Disclosure: The authors declare no conflict of interest., (Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: The objective of this study was to determine if intradepartment attending-provider transitions of care (handoffs) during a pediatric emergency department (ED) encounter were associated with return ED visits resulting in hospitalization., Methods: We analyzed ED encounters for patients younger than 21 years discharged from a single pediatric ED from January 2013 to February 2017. We classified an encounter as having a handoff when the initial attending and discharging attending differed. Our primary outcome was a revisit within 72 hours resulting in hospitalization. Our secondary outcomes were any revisit within 72 hours and revisits resulting in hospitalization with potential deficiencies in care. We compared outcome rates for ED encounters with and without provider handoffs, both with and without adjustment for demographic, clinical, and visit characteristics., Results: Of the 177,350 eligible ED encounters, 1961 (1.1%) had a return visit resulting in hospitalization and 6821 (3.9%) had any return visit. In unadjusted analyses, handoffs were associated with an increased likelihood of a return visit resulting in hospitalization (odds ratio [OR], 1.46; 95% confidence interval [CI], 1.26-1.70) or any return visit (OR, 1.20; 95% CI, 1.10-1.31). However, after adjustment, provider handoffs were not associated with return ED visits resulting in hospitalization (OR, 0.96; 95% CI, 0.81-1.13) or any return ED visits (OR, 1.00; 95% CI, 0.90-1.10)., Conclusions: Provider handoffs in a pediatric ED did not increase the risk of return ED visits or return ED visits with deficiencies in care after adjustment for demographic, clinical, and visit factors., Competing Interests: Disclosure: The authors declare no conflict of interest., (Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To compare the accuracy of computer versus physician predictions of hospitalization and to explore the potential synergies of hybrid physician-computer models., Materials and Methods: A single-center prospective observational study in a tertiary pediatric hospital in Boston, Massachusetts, United States. Nine emergency department (ED) attending physicians participated in the study. Physicians predicted the likelihood of admission for patients in the ED whose hospitalization disposition had not yet been decided. In parallel, a random-forest computer model was developed to predict hospitalizations from the ED, based on data available within the first hour of the ED encounter. The model was tested on the same cohort of patients evaluated by the participating physicians., Results: 198 pediatric patients were considered for inclusion. Six patients were excluded due to incomplete or erroneous physician forms. Of the 192 included patients, 54 (28%) were admitted and 138 (72%) were discharged. The positive predictive value for the prediction of admission was 66% for the clinicians, 73% for the computer model, and 86% for a hybrid model combining the two. To predict admission, physicians relied more heavily on the clinical appearance of the patient, while the computer model relied more heavily on technical data-driven features, such as the rate of prior admissions or distance traveled to hospital., Discussion: Computer-generated predictions of patient disposition were more accurate than clinician-generated predictions. A hybrid prediction model improved accuracy over both individual predictions, highlighting the complementary and synergistic effects of both approaches., Conclusion: The integration of computer and clinician predictions can yield improved predictive performance., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Palatal petechiae are predictive of Group A streptococcal (GAS) pharyngitis. We sought to (a) quantify the value of considering petechiae in addition to exudate, and (b) assess provider incorporation of petechiae's predictive nature for GAS into clinical decision making., Methods: We conducted a cross-sectional study of patients 3-21 years with sore throat and GAS testing performed in a pediatric emergency department (ED) in 2016. Patients were excluded if immunosuppressed, nonverbal, medically complex, had chronic tonsillitis, or received antibiotics in the preceding week. As a proxy of provider incorporation of petechiae into clinical decision making we assessed how often petechiae were documented, compared with exudate. We performed univariate analysis using χ 2 analysis for categorical data and Mann-Whitney U test for continuous data., Results: 1574 patients met inclusion criteria. Median age 8 years [IQR 5, 13]; 54% female. 372 patients (24%) were GAS positive. Both palatal petechiae and tonsillar exudates were predictive of GAS [OR 8.5 (95% CI 5.2-13.9), and 1.9 (95% CI 1.4-2.6) respectively]. Examining petechiae or exudate vs. exudate alone increases OR from 1.9 to 2.9 (95% CI 2.2-3.8). Sensitivity improves (23% to 34%) with minimal change to specificity (87% to 85%). Among those with a normal or erythematous throat exam, petechiae were mentioned as a pertinent negative in 28%; absence of tonsillar exudate was mentioned in 78% (p = .02)., Conclusions: Palatal petechiae are highly associated with GAS, yet rarely addressed in documentation. Incorporating palatal petechiae into common scoring systems could improve prediction and disseminate this knowledge into practice., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Background/objective: Traditional sources cite seasonal patterns for common infectious diseases, often based on microbiologic data, but little is known about cyclical trends in clinically diagnosed infectious conditions in the emergency department (ED). We leveraged the publicly available Nationwide Emergency Department Sample database to measure the seasonality of the most common pediatric infectious diseases diagnosed in US EDs., Methods: We searched the Nationwide Emergency Department Sample database to identify infectious diagnoses comprising at least 1% of all diagnosis codes ascribed to patients 21 years and younger in US EDs from 2009 to 2013. We used Fourier regression to examine seasonal trends in disease and calculated the peak-to-nadir ratio for each infectious condition., Results: Over 20% of pediatric visits during the study period were for infectious conditions. Upper respiratory infection, otitis media, gastroenteritis, urinary tract infection/pyelonephritis, cellulitis/abscess, and pneumonia showed a seasonal pattern that matched trends found in prior regional or microbiologic-based studies. The strongest seasonal trend as measured by goodness of model fit was found in pneumonia (peak-to-nadir incidence ratio of 2.7), followed by otitis media (2.0), cellulitis/abscess (2.0), gastroenteritis (1.6), upper respiratory infection (3.2), and urinary tract infection/pyelonephritis (1.4). Pharyngitis did not show a strong seasonal trend., Conclusions: Many of the most common pediatric infectious diseases diagnosed in US EDs exhibited seasonal patterns. Large administrative databases can be used to track seasonal disease patterns, with the advantage that they reflect clinician diagnosis beyond microbiologic confirmation. This methodology could aid in resource planning, infection control, and public health educational initiatives., Competing Interests: Disclosure: The authors declare no conflict of interest., (Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved.)

Variability exists in the management of childhood syncope as clinicians balance resource utilization with the need to identify serious diseases. Limited evidence exists regarding the long-term impact of evidence-based guidelines (EBGs) on clinical practices. This study's objective was to measure long-term changes in the management of syncope after implementing a syncope EBG in a single pediatric emergency department following the redistribution of resources to facilitate compliance over time., Methods: We included healthy patients aged 8-22 years, presenting to the pediatric emergency department with syncope between 2009 and 2017. Interrupted time series analysis compared testing rates and length of stay among the pre-EBG, short-term follow-up, and long-term follow-up periods., Results: The study included 1,294 subjects. From the pre-EBG period to the long-term follow-up period, recommended electrocardiogram and urine pregnancy test rose significantly [level change odds ratio (95% confidence interval) 5.56 (1.73-17.91) and 3.15 (1.07-9.32), respectively]. Testing and management not recommended by the EBG decreased significantly, including complete blood count, electrolytes, point-of-care glucose, chest radiograph, and intravenous fluids [level change odds ratio (95% confidence interval) 0.19 (0.09-0.40), 0.15 (0.07-0.32), 0.38 (0.18-0.81), 0.17 (0.06-0.49), and 0.18 (0.08-0.39), respectively]. Length of stay declined significantly. No delayed diagnoses occurred., Conclusions: Sustained improvements in syncope management persisted during long-term follow-up of the EBG despite minimal resources. The EBG was associated with increased focused evaluation and decreased low yield testing. EBGs may be useful tools to influence sustained clinical practices to promote safe, cost-effective, and high-quality care., Competing Interests: The authors have no financial interest to declare in relation to the content of this article., (Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc.)

Background: Clinicians use the Modified Centor Score (MCS) to estimate the risk of group A streptococcal (GAS) pharyngitis in children with sore throat. The Infectious Diseases Society of America (IDSA) recommends neither testing nor treating patients with specific viral symptoms. The goal of this study is to measure the impact of those symptoms on the yield of GAS testing predicted by the MCS., Methods: Retrospective cohort study of all patients aged 3-21 years presenting with sore throat and tested for GAS in a pediatric emergency department (ED) in 2016. After identifying all patients tested for GAS, we used natural language processing (NLP) to identify the subgroup complaining of sore throat. We abstracted all MCS variables as well as symptoms suggestive of a viral etiology per the IDSA guideline (conjunctivitis, coryza, cough, diarrhea, hoarseness, ulcerative oral lesions, viral exanthema). We calculated the proportion of patients who tested positive for GAS by MCS with and without viral symptoms., Results: Of the 1574 patients included, 372 patients (24%) tested GAS positive. Patients with at least one viral symptom had a reduced GAS risk compared to those without any of the viral symptoms 91/547 (17% GAS positive) vs. 281/1027 (27%), odds ratio 0.53 (95% CI 0.41-0.69)., Conclusions: The presence of viral symptoms specified by the IDSA alters the predicted yield of testing by traditional MCS. Clinicians may consider adjusting interpretation of a patient's MCS based on the presence of viral symptoms, but viral symptoms may not always fully obviate the need for GAS testing., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Objectives: To determine the prevalence of features of viral illness in a national sample of visits involving children tested for group A Streptococcus pharyngitis. Additionally, we sought to derive a decision rule to identify patients with features of viral illness who were at low risk of having group A Streptococcus and for whom laboratory testing might be avoided., Study Design: Retrospective validation study using data from electronic health records of patients 3-21 years old evaluated for sore throat in a national network of retail health clinics (n = 67 127). We determined the prevalence of features of viral illness in patients tested for group A Streptococcus and developed a decision tree algorithm to identify patients with features of viral illness at low risk (<15%) of having group A Streptococcus., Results: Overall, 54% of patients had features of viral illness. Among patients with features of viral illness, those without tonsillar exudates who were 11 years or older and either lacked cervical adenopathy or had cervical adenopathy and lacked fever were identified as at low risk for group A Streptococcus according to the decision rule. This group comprised 34% of patients with features of viral illness, or 19% of all patients tested for group A Streptococcus infection., Conclusions: Our findings provide an objective way to identify patients with features of viral illness who are at low risk of having group A Streptococcus. Improved identification such patients at low risk of group A Streptococcus could improve appropriate testing and antibiotic prescribing for pharyngitis., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Background: Pharyngitis due to group A Streptococcus (GAS) is a common pediatric infection. Physicians might diagnose GAS pharyngitis more accurately when given biosurveillance information about GAS activity. The availability of geographic GAS testing data may be able to assist with real-time clinical decision-making for children with throat infections., Methods: GAS rapid antigen testing data were obtained from the records of 6086 children at Boston Children's Hospital and 8648 children at Duke University Medical Center. Records included children tested in outpatient, primary care settings. We constructed Bayesian generalized additive models, in which the outcome variable was the binary result of GAS testing, and predictor variables included smoothed functions of patient location data and both cyclic and longitudinal time data., Results: We observed a small degree of geographic heterogeneity, but no convincing clusters of high risk. The probability of a positive test declined during the summer months., Conclusions: Future work should include geographic data about school catchments to identify whether GAS transmission clusters within schools., (© The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America.)

Background: Diagnostic error can lead to increased morbidity, mortality, healthcare utilization and cost. The 2015 National Academy of Medicine report "Improving Diagnosis in Healthcare" called for improving diagnostic accuracy by developing innovative electronic approaches to reduce medical errors, including missed or delayed diagnosis. The objective of this article was to develop a process to detect potential diagnostic discrepancy between pediatric emergency and inpatient discharge diagnosis using a computer-based tool facilitating expert review., Methods: Using a literature search and expert opinion, we identified 10 pediatric diagnoses with potential for serious consequences if missed or delayed. We then developed and applied a computerized tool to identify linked emergency department (ED) encounters and hospitalizations with these discharge diagnoses. The tool identified discordance between ED and hospital discharge diagnoses. Cases identified as discordant were manually reviewed by pediatric emergency medicine experts to confirm discordance., Results: Our computerized tool identified 55,233 ED encounters for hospitalized children over a 5-year period, of which 2161 (3.9%) had one of the 10 selected high-risk diagnoses. After expert record review, we identified 67 (3.1%) cases with discordance between ED and hospital discharge diagnoses. The most common discordant diagnoses were Kawasaki disease and pancreatitis., Conclusions: We successfully developed and applied a semi-automated process to screen a large volume of hospital encounters to identify discordant diagnoses for selected pediatric medical conditions. This process may be valuable for informing and improving ED diagnostic accuracy.

Objectives: We sought to characterize the population of patients seeking care at multiple emergency departments (EDs) and to quantify the proportion of all ED visits and costs accounted for by these patients., Methods: We performed a retrospective, cohort study of deidentified insurance claims for privately insured patients with one of more ED visits between 2010 and 2016. We measured the number of EDs visited by each patient and determined the overall proportion of all ED visits and ED costs accounted for by patients who visit multiple EDs. We identified factors associated with visiting multiple EDs., Results: A total of 8,651,716 patients made 16,390,676 ED visits over the study period, accounting for $26,102,831,740 in ED costs. A significant minority (20.5%) of patients visited more than one ED over the study period. However, these patients accounted for a disproportionate amount of all ED visits (41.4%) and all ED costs (39.2%). A small proportion (0.4%) of patients visited five or more EDs but accounted for 2.8% of ED visits and costs. Among patients with two ED visits within 30 days, 32% were to different EDs. Having at least one ED visit for mental health or substance abuse-related diagnosis was associated with increased odds of visiting multiple EDs., Conclusions: A substantial minority of patients visit multiple EDs, but account for a disproportionate burden of overall ED utilization and costs. Future work should evaluate the impact of visiting multiple EDs on care utilization and outcomes and explore systems for improving access to patient records across care centers., (© 2017 by the Society for Academic Emergency Medicine.)

Objective: To compare the complexity and severity of presentation of children in general vs pediatric emergency departments (EDs)., Study Design: We performed a cross-sectional study of pediatric ED visits using the National Emergency Department Sample from 2008 to 2012. We classified EDs as "pediatric" if >75% of patients were <18 years old; all other EDs were classified as "general." The presence of an International Classification of Diseases, Ninth Revision code for a complex chronic condition was used as an indicator of patient complexity. Patient severity was evaluated with the severity classification system. In addition, rates of critical procedures and hospitalization were assessed., Results: We identified 9.6 million encounters to pediatric EDs and 169 million to general EDs. Younger children account for a greater proportion of visits at pediatric EDs than general EDs; children <1 year of age account for 18% of visits to a pediatric ED compared with 9% of visits to a general ED (P < .01). Encounters at pediatric EDs had greater complexity (5% vs 2%; P < .01). Although severity classification system scores did not significantly differ by ED type, pediatric EDs had greater rates of hospitalization (10% vs 4%)., Conclusions: Pediatric EDs provided care to a greater proportion of medically complex children than general EDs and had greater rates of hospitalization. This information may inform educational efforts in residency or postgraduate training to ensure high-quality care for children with complex health care needs., (Copyright © 2017 Elsevier Inc. All rights reserved.)

We identified 620 children with peripheral facial palsy of which 211 (34%) had Lyme disease. The 140 children who had a lumbar puncture performed were more likely to be hospitalized (73% LP performed vs 2% no LP) and to receive parenteral antibiotics (62% LP performed vs 6% no LP)., (© The Author 2016. Published by Oxford University Press on behalf of The Journal of the Pediatric Infectious Diseases Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background and Objectives: The Infectious Diseases Society of America recommends that clinicians forego testing for group A Streptococcal (GAS) pharyngitis in patients with clinical features of viral illness. The prevalence of viral features in patients tested for GAS pharyngitis is not known. The objectives of this study were as follows: to describe the prevalence of viral features in pediatric patients for whom rapid antigen detection tests (RADTs) for GAS pharyngitis are performed; and to compare the prevalence of GAS and the sensitivity of the RADT in patients with and without viral features., Methods: This secondary analysis of data from a prospective cohort study included children aged 3 to 21 years for whom RADTs were performed for sore throat in an urban tertiary care emergency department. The primary outcome was the prevalence of viral features, defined as cough, rhinorrhea, oral ulcers/vesicles, and/or conjunctival injection. Secondary outcomes were the prevalence of GAS and sensitivity of the RADT; these outcomes were compared between patients with and without viral features., Results: Overall, 63% (95% confidence interval [CI]: 57%-68%) of patients had at least 1 viral feature. The prevalence of GAS pharyngitis was higher in patients without viral features (42% [95% CI: 33%-51%]) than in patients with viral features (29% [95% CI: 23%-35%]) ( P = .01). The sensitivity of the RADT was 84% (95% CI: 77%-91%) and was not significantly different in patients with and without viral features., Conclusions: Because many asymptomatic children are carriers of GAS, judicious use of laboratory testing for GAS pharyngitis remains an important target for antimicrobial stewardship., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2017 by the American Academy of Pediatrics.)

Background and Objectives: Emergency departments (EDs) in the United States are overcrowded and nearing a breaking point. Alongside ever-increasing demand, one of the leading causes of ED overcrowding is the boarding of hospitalized patients in the ED as they await bed placement. We sought to develop a model for early prediction of hospitalizations, thus enabling an earlier start for the placement process and shorter boarding times., Methods: We conducted a retrospective cohort analysis of all visits to the Boston Children's Hospital ED from July 1, 2014 to June 30, 2015. We used 50% of the data for model derivation and the remaining 50% for validation. We built the predictive model by using a mixed method approach, running a logistic regression model on results generated by a naive Bayes classifier. We performed sensitivity analyses to evaluate the impact of the model on overall resource utilization., Results: Our analysis comprised 59 033 patient visits, of which 11 975 were hospitalized (cases) and 47 058 were discharged (controls). Using data available within the first 30 minutes from presentation, our model identified 73.4% of the hospitalizations with 90% specificity and 35.4% of hospitalizations with 99.5% specificity (area under the curve = 0.91). Applying this model in a real-time setting could potentially save the ED 5917 hours per year or 30 minutes per hospitalization., Conclusions: This approach can accurately predict patient hospitalization early in the ED encounter by using data commonly available in most electronic medical records. Such early identification can be used to advance patient placement processes and shorten ED boarding times., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2017 by the American Academy of Pediatrics.)

Background and Objectives: Identifying symptomatic patients who are at low risk for group A streptococcal (GAS) pharyngitis could reduce unnecessary visits and antibiotic use. The accuracy with which patients and parents report signs and symptoms of GAS has not been studied. Our objectives were to measure agreement between patient or parent and physician-reported signs and symptoms of GAS and to evaluate the performance of a modified Centor score, based on patient or parent and physician reports, for identifying patients at low risk for GAS pharyngitis., Methods: Children 3 to 21 years old presenting to a single tertiary care emergency department between October 2013 and January 2015 were included if they complained of a sore throat and were tested for GAS. Patients or parents and physicians completed surveys assessing signs and symptoms to determine a modified age-adjusted Centor score for GAS. We evaluated the overall agreement and κ between patient or parent and physician-reported signs and symptoms and compared the performance of the scores based on assessments by patients or parents and physicians and the risk of GAS., Results: Of 320 patients enrolled, 107 (33%) tested GAS positive. Agreement was higher for symptoms (fever [agreement = 82%, κ = 0.64] and cough [72%, 0.45]) than for signs (exudate [80%, 0.41] and tender cervical nodes [73%, 0.18]). Agreement was highest when no signs and symptoms contained in the Centor score were present (94%, κ = 0.61). The proportion of patients testing GAS positive rose as the modified Centor score increased., Conclusions: For identifying GAS pharyngitis, patients or parents and physicians showed moderate to substantial agreement for 3 of 4 key pharyngitis signs and symptoms., (Copyright © 2016 by the American Academy of Pediatrics.)

Objectives: Research findings are not consistently adopted in the clinical setting and there is a gap between best evidence and clinical practice across a range of conditions and settings. A number of factors may contribute to this discrepancy, including the direction of the research findings (i.e., whether positive or negative for an intervention). The objectives of this study were to measure the translation of results from randomized controlled trials (RCTs) into clinical care and to determine whether the direction of the trial findings influence the uptake of research reports into clinical practice., Methods: This was a retrospective study of clinical care provided in emergency departments (EDs) across the United States with data collected by the National Hospital Ambulatory Medical Care Survey from 1992 to 2010. RCTs published in journals with the highest impact factors and conducted in ED settings were selected and data were extracted on the interventions under study, the patient populations examined, and the trial findings. Changes in clinical practice corresponding to the RCT results were measured by comparing the rates of treatment with the intervention during the 3-year period before and after publication of the trial., Results: Twenty-one RCTs met the inclusion criteria. Ten studies reported positive interventions, of which nine (90%) were associated with an increased ED use of the intervention after trial publication. Four studies showing the lack of benefit of interventions were not used in ED practice prior to the trial and practice did not change in the postpublication period. The remaining eight trials presented negative findings or results comparing two different interventions, and of these, three (38%) were associated with small changes in the ED use of the interventions, consistent with the trial results., Conclusions: In the ED setting, results of RCTs published in high-impact journals are more likely to be translated into clinical care when they demonstrate the benefits of an intervention. Our findings indicate that direction of research evidence is an important factor when evaluating knowledge uptake into clinical practice., (© 2015 by the Society for Academic Emergency Medicine.)

Background and Objectives: Thirty-five percent of children experience syncope at least once. Although the etiology of pediatric syncope is usually benign, many children undergo low-yield diagnostic testing. We conducted a quality improvement intervention to reduce the rates of low-yield diagnostic testing for children presenting to an emergency department (ED) with syncope or presyncope., Methods: Children 8 to 22 years old presenting to a tertiary care pediatric ED with syncope or presyncope were included. We excluded children who were ill-appearing, had previously diagnosed cardiac or neurologic disease, ingestion, or trauma. We measured diagnostic testing rates among children presenting from July 2010 through October 2012, during which time we implemented a quality improvement intervention. Patient follow-up was performed 2 months after the ED visit to ascertain subsequent diagnostic testing and medical care., Results: A total of 349 patients were included. We observed a reduction in the rates of low-yield diagnostic testing after our quality improvement intervention: complete blood count testing decreased from 36% (95% confidence interval 29% to 43%) to 16% (12% to 22%) and electrolyte testing from 29% (23% to 36%) to 12% (8% to 17%). Performance of recommended testing increased, such as electrocardiograms and pregnancy testing in postpubertal girls. Despite a reduction in diagnostic testing among children with syncope, patients were not more likely to undergo subsequent diagnostic testing or seek further medical care following their ED visit., Conclusions: Implementation of a quality improvement intervention for the ED evaluation of pediatric syncope was associated with reduced low-yield diagnostic testing, and was not associated with subsequent testing or medical care., (Copyright © 2014 by the American Academy of Pediatrics.)

Background: Consensus guidelines recommend against testing or treating adults at low risk for group A streptococcal (GAS) pharyngitis., Objective: To help patients decide when to visit a clinician for the evaluation of sore throat., Design: Retrospective cohort study., Setting: A national chain of retail health clinics., Patients: 71 776 patients aged 15 years or older with pharyngitis who visited a clinic from September 2006 to December 2008., Measurements: The authors created a score using information from patient-reported clinical variables plus the incidence of local disease and compared it with the Centor score and other traditional scores that require clinician-elicited signs., Results: If patients aged 15 years or older with sore throat did not visit a clinician when the new score estimated the likelihood of GAS pharyngitis to be less than 10% instead of having clinicians manage their symptoms following guidelines that use the Centor score, 230 000 visits would be avoided in the United States each year and 8500 patients with GAS pharyngitis who would have received antibiotics would not be treated with them., Limitation: Real-time information about the local incidence of GAS pharyngitis, which is necessary to calculate the new score, is not currently available., Conclusion: A patient-driven approach to pharyngitis diagnosis that uses this new score could save hundreds of thousands of visits annually by identifying patients at home who are unlikely to require testing or treatment., Primary Funding Source: Centers for Disease Control and Prevention and the National Library of Medicine, National Institutes of Health.

Purpose: We aim to develop and validate the positive predictive value (PPV) of an algorithm to identify anaphylaxis using health plan administrative and claims data. Previously published PPVs for anaphylaxis using International Classification of Diseases, ninth revision, Clinical Modification (ICD-9-CM) codes range from 52% to 57%., Methods: We conducted a retrospective study using administrative and claims data from eight health plans. Using diagnosis and procedure codes, we developed an algorithm to identify potential cases of anaphylaxis from the Mini-Sentinel Distributed Database between January 2009 and December 2010. A random sample of medical charts (n = 150) was identified for chart abstraction. Two physician adjudicators reviewed each potential case. Using physician adjudicator judgments on whether the case met diagnostic criteria for anaphylaxis, we calculated a PPV for the algorithm., Results: Of the 122 patients for whom complete charts were received, 77 were judged by physician adjudicators to have anaphylaxis. The PPV for the algorithm was 63.1% (95%CI: 53.9-71.7%), using the clinical criteria by Sampson as the gold standard. The PPV was highest for inpatient encounters with ICD-9-CM codes of 995.0 or 999.4. By combining only the top performing ICD-9-CM codes, we identified an algorithm with a PPV of 75.0%, but only 66% of cases of anaphylaxis were identified using this modified algorithm., Conclusions: The PPV for the ICD-9-CM-based algorithm for anaphylaxis was slightly higher than PPV estimates reported in prior studies, but remained low. We were able to identify an algorithm that optimized the PPV but demonstrated lower sensitivity for anaphylactic events., (Copyright © 2013 John Wiley & Sons, Ltd.)

Objectives/hypothesis: Penetrating palatal trauma in children presents a diagnostic dilemma regarding the small but severe risk of injury to carotid vessels. Decisions regarding which children require computed tomography with angiography must be balanced against the risk of radiation-induced malignancy. Our objectives were to compare outcomes between children with and without computed tomography with angiography in the evaluation of palatal trauma and to identify thresholds where the ideal strategy changes in the management of children with palatal trauma through sensitivity analyses., Study Design: Decision analytic techniques were used to compare management strategies for penetrating palatal trauma., Methods: We assigned utilities to the following outcomes: 1) perfect health, 2) future malignancy, 3) carotid injury diagnosed by computed tomography with angiography, and 4) delayed diagnosis of stroke. We calculated outcomes when the risk of stroke ranged from 0.01% to 5.0% for a hypothetical cohort of 10,000 injured children., Results: Not obtaining computed tomography with angiography is the optimal strategy when the stroke risk is less than 4.5%. In two-way sensitivity analyses that consider a range of probabilities of radiation-induced malignancy and stroke, not obtaining computed tomography with angiography on all patients dominates as a strategy until the risk of stroke exceeds 2.3%, and the risk of malignancy is under 0.24%. Routine imaging would introduce 20 additional malignancies for each additional stroke diagnosed., Conclusions: Routine use of computed tomography with angiography for well-appearing children with palatal trauma should be reconsidered, as the risk of radiation-induced malignancy may outweigh the benefit of identifying the rare carotid injury., Level of Evidence: 2b., (Copyright © 2013 The American Laryngological, Rhinological and Otological Society, Inc.)

Objective: To determine trends in the diagnosis and management of children with viral meningitis at US children's hospitals., Methods: We performed a multicenter cross sectional study of children presenting to the emergency department (ED) across the 41 pediatric tertiary-care hospitals participating in the Pediatric Health Information System between January 1, 2005, and December 31, 2011. A case of viral meningitis was defined by International Classification of Diseases, Ninth Revision, discharge diagnosis, and required performance of a lumbar puncture. We examined trends in diagnosis, antibiotic use, and resource utilization for children with viral meningitis over the study period., Results: We identified 7618 children with viral meningitis (0.05% of ED visits during the study period). Fifty-two percent of patients were <1 year of age, and 43% were female. The absolute number and the proportion of ED visits for children with viral meningitis declined from 0.98 cases per 1000 ED visits in 2005 to 0.25 cases in 2011 (P < .001). Most children with viral meningitis received a parenteral antibiotic (85%), and were hospitalized (91%). Overall costs for children for children with viral meningitis remain substantial (median cost per case $5056, interquartile range $3572-$7141)., Conclusions: Between 2005 and 2011, viral meningitis diagnoses at US children's hospitals declined. However, most of these children are hospitalized, and the cost for caring for these children remains considerable.

Background: The U.S. Food and Drug Administration (FDA) is the regulatory agency responsible for approving all pharmaceutical products marketed in the United States. While the FDA does not conduct research for developing pharmaceutical products, the agency does review all of the scientific evidence that a pharmaceutical sponsor submits and ensures that it demonstrates U.S. regulatory standards for the product and meets approval requirements., Objectives: To provide insights, for the managed care pharmacist, into the agency's decision-making process and into the recommendations for appropriate usage and regulatory recommendations for risk mitigation by pharmaceutical sponsors., Methods: The FDA website contains a vast amount of clinically useful and meaningful information. This review focused on specific topics within the website that can be useful for the managed care pharmacist, including the following: (a) the FDA's review and evaluation of new drug applications (NDA), supplemental new drug applications (s-NDA), and biological new drug applications (BLA); (b) materials regarding a therapeutic product presented to a public FDA advisory committee meeting; and (c) the postmarket requirements and commitments database that provides information on the studies that a sponsor must conduct to maintain a product's approval for marketing in the United States., Results: This review examined the drug information contained on the FDA's website and summarized the FDA's medical and technical review, analysis and decision processes. Detailed drug information provided to the FDA by the pharmaceutical sponsor demonstrating a product's efficacy and safety is publically available upon the product's approval., Conclusion: For the managed care pharmacist involved with formulary review and recommendations, the FDA's website contains information that is available to provide insight into the agency's evaluation process and decision making for marketed pharmaceutical products. Use of these materials and understanding the regulatory context under which medical products are reviewed and approved may assist managed care pharmacists in making informed recommendations for use of the products within the context of their health systems.

Background: Clinical prediction rules do not incorporate real-time incidence data to adjust estimates of disease risk in symptomatic patients., Objective: To measure the value of integrating local incidence data into a clinical decision rule for diagnosing group A streptococcal (GAS) pharyngitis in patients aged 15 years or older., Design: Retrospective analysis of clinical and biosurveillance predictors of GAS pharyngitis., Setting: Large U.S.-based retail health chain., Patients: 82 062 patient visits for pharyngitis., Measurements: Accuracy of the Centor score was compared with that of a biosurveillance-responsive score, which was essentially an adjusted Centor score based on real-time GAS pharyngitis information from the 14 days before a patient's visit: the recent local proportion positive (RLPP)., Results: Increased RLPP correlated with the likelihood of GAS pharyngitis (r(2) = 0.79; P < 0.001). Local incidence data enhanced diagnostic models. For example, when the RLPP was greater than 0.30, managing patients with Centor scores of 1 as if the scores were 2 would identify 62, 537 previously missed patients annually while misclassifying 18, 446 patients without GAS pharyngitis. Decreasing the score of patients with Centor values of 3 by 1 point for an RLPP less than 0.20 would spare unnecessary antibiotics for 166, 616 patients while missing 18, 812 true-positive cases., Limitations: Analyses were conducted retrospectively. Real-time regional data on GAS pharyngitis are generally not yet available to clinicians., Conclusion: Incorporating live biosurveillance data into clinical guidelines for GAS pharyngitis and other communicable diseases should be considered for reducing missed cases when the contemporaneous incidence is elevated and for sparing unnecessary antibiotics when the contemporaneous incidence is low. Delivering epidemiologic data to the point of care will enable the use of real-time pretest probabilities in medical decision making.

Objective: To develop a novel diagnostic algorithm for Lyme disease among children with facial palsy by integrating public health surveillance data with traditional clinical predictors., Design: Retrospective cohort study., Setting: Children's Hospital Boston emergency department, 1995-2007., Patients: Two hundred sixty-four children (aged <20 years) with peripheral facial palsy who were evaluated for Lyme disease., Main Outcome Measures: Multivariate regression was used to identify independent clinical and epidemiologic predictors of Lyme disease facial palsy., Results: Lyme diagnosis was positive in 65% of children from high-risk counties in Massachusetts during Lyme disease season compared with 5% of those without both geographic and seasonal risk factors. Among patients with both seasonal and geographic risk factors, 80% with 1 clinical risk factor (fever or headache) and 100% with 2 clinical factors had Lyme disease. Factors independently associated with Lyme disease facial palsy were development from June to November (odds ratio, 25.4; 95% confidence interval, 8.3-113.4), residence in a county where the most recent 3-year average Lyme disease incidence exceeded 4 cases per 100,000 (18.4; 6.5-68.5), fever (3.9; 1.5-11.0), and headache (2.7; 1.3-5.8). Clinical experts correctly treated 68 of 94 patients (72%) with Lyme disease facial palsy, but a tool incorporating geographic and seasonal risk identified all 94 cases., Conclusions: Most physicians intuitively integrate geographic information into Lyme disease management, but we demonstrate quantitatively how formal use of geographically based incidence in a clinical algorithm improves diagnostic accuracy. These findings demonstrate potential for improved outcomes from investments in health information technology that foster bidirectional communication between public health and clinical settings.

Objective: To improve identification of pertussis cases by developing a decision model that incorporates recent, local, population-level disease incidence., Design: Retrospective cohort analysis of 443 infants tested for pertussis (2003-7)., Measurements: Three models (based on clinical data only, local disease incidence only, and a combination of clinical data and local disease incidence) to predict pertussis positivity were created with demographic, historical, physical exam, and state-wide pertussis data. Models were compared using sensitivity, specificity, area under the receiver-operating characteristics (ROC) curve (AUC), and related metrics., Results: The model using only clinical data included cyanosis, cough for 1 week, and absence of fever, and was 89% sensitive (95% CI 79 to 99), 27% specific (95% CI 22 to 32) with an area under the ROC curve of 0.80. The model using only local incidence data performed best when the proportion positive of pertussis cultures in the region exceeded 10% in the 8-14 days prior to the infant's associated visit, achieving 13% sensitivity, 53% specificity, and AUC 0.65. The combined model, built with patient-derived variables and local incidence data, included cyanosis, cough for 1 week, and the variable indicating that the proportion positive of pertussis cultures in the region exceeded 10% 8-14 days prior to the infant's associated visit. This model was 100% sensitive (p<0.04, 95% CI 92 to 100), 38% specific (p<0.001, 95% CI 33 to 43), with AUC 0.82., Conclusions: Incorporating recent, local population-level disease incidence improved the ability of a decision model to correctly identify infants with pertussis. Our findings support fostering bidirectional exchange between public health and clinical practice, and validate a method for integrating large-scale public health datasets with rich clinical data to improve decision-making and public health.

Background: A quasi-experimental intervention study composed of control and intervention periods was conducted to determine if a parent-driven health information technology influenced completeness of documentation and adherence to evidence-based emergency care for children., Methods: Structured chart abstraction was used to assess documentation and correctness of clinical actions at test ordering, medication prescribed for disease, and medication ordered for pain in a tertiary care pediatric emergency department and a suburban general emergency department. During the intervention periods, parents of children who presented with complaints related to otitis media, urinary tract infection, head trauma, or asthma entered data into a health information technology (ParentLink), which produced treatment plans in the context of evidence-based guidelines., Results: Of 1,410 subjects analyzed, 1,072 (76%) were assigned to one of four disease categories: urinary tract infection (22%), otitis media (20%), asthma (11%) and head trauma (47%). During ParentLink use, documentation of pain significantly improved (28% incomplete [control] versus 15% [intervention], p = .003). Incorrect actions for pain treatment decreased, but not significantly (33% [control] versus 24% [intervention], p = .13). ParentLink did not influence actions for test ordering or prescribing for disease., Discussion: Parent-driven health information technology intended to translate parents' knowledge into clinical practice and to support evidence-based care suggested a trend toward modest impact on pain management but did not demonstrate broad effects across diseases or care processes. The emergence and proliferation of personally controlled health records (PCHRs) presents opportunities for patients and parents to control their medical profiles. Although ParentLink is not a comprehensive PCHR, it represents a step in incorporating parent-derived information into medical decision making.

Objective: Development of national biosurveillance systems to advance regional and national data exchange among sites of clinical care and public health authorities is a top federal priority, creating the opportunity to develop a unified national network for tracking and responding to cases of vaccine-preventable diseases. The purpose of this study was to assess the current practice and feasibility of developing a nationwide network of children's hospitals to conduct surveillance for vaccine preventable diseases., Methods: In 2004-2005, Web-based surveys were sent to 506 key hospital personnel from 119 pediatric hospitals, identified by the National Association of Children's Hospitals and Related Institutions. Surveys measured attitudes toward public health initiatives, willingness to join a surveillance network of children's hospitals, knowledge of mandated reporting requirements, methods of disease detection and reporting, and data sources available for surveillance., Results: A total of 395 (78%) respondents from 119 hospitals completed the survey. Surveillance at pediatric hospitals is largely passive and driven by unreimbursed efforts of infection control staff. It is vulnerable to missing cases that occur in the outpatient setting and are diagnosed clinically without laboratory confirmation or are never diagnosed by clinicians. Nearly 90% of hospital leaders are interested in participating in public health programs, and most are interested in a national network to conduct active surveillance for vaccine-preventable diseases, dependent on the provision of sufficient funding. Pediatric hospitals store records relevant to surveillance in an electronic fashion accessible to query, but <20% of these hospitals use automated methods to report cases of disease., Conclusions: There is both the will and capability to create a robust active pediatric hospital-based reporting system for vaccine preventable diseases. This effort would dovetail well with the national priority to bolster surveillance, as well as with the goal of reducing morbidity and mortality from vaccine-preventable diseases.

Public health informaticians are evaluating new data sources to optimize real-time surveillance for detecting disease outbreaks. Pediatric populations are often overlooked, but may provide important signals for many reportable and vaccine preventable diseases, as well as emerging infections. The ability of pediatric hospitals to contribute timely information to the identification of disease outbreaks has not been rigorously evaluated. We sought to determine the feasibility of leveraging data from pediatric hospitals to support national disease surveillance, by measuring: 1) the types of pediatric hospital records currently stored in electronic form and accessible to query; 2) the current automated reporting capabilities of pediatric hospitals; and 3) the attitudes of Chief Information Officers (CIOs) towards disease surveillance.