Disparities in Diagnostic Timeliness and Outcomes of Pediatric Appendicitis.

This cohort study compares rates of delayed diagnosis and complications of appendicitis by race and ethnicity and Child Opportunity Index among children in 8 states.

Race, Ethnicity, and Ancestry in Clinical Pathways: A Framework for Evaluation.

Clinical algorithms, or "pathways," promote the delivery of medical care that is consistent and equitable. Race, ethnicity, and/or ancestry terms are sometimes included in these types of guidelines, but it is unclear if this is appropriate for clinical decision-making. At our institution, we developed and applied a structured framework to determine whether race, ethnicity, or ancestry terms identified in our clinical pathways library should be retained, modified, or removed. First, we reviewed all text and associated reference documents for 132 institutionally-developed clinical pathways and identified 8 pathways that included race, ethnicity, or ancestry terms. Five pathways had clear evidence or a change in institutional policy that supported removal of the term. Multispecialty teams conducted additional in-depth evaluation of the 3 remaining pathways (Acute Viral Illness, Hyperbilirubinemia, and Weight Management) by applying the framework. In total, based on these reviews, race, ethnicity, or ancestry terms were removed (n = 6) or modified (n = 2) in all 8 pathways. Application of the framework established several recommended practices, including: (1) define race, ethnicity, and ancestry rigorously; (2) assess the most likely mechanisms underlying epidemiologic associations; (3) consider whether inclusion of the term is likely to mitigate or exacerbate existing inequities; and (4) exercise caution when applying population-level data to individual patient encounters. This process and framework may be useful to other institutional programs and national organizations in evaluating the inclusion of race, ethnicity, and ancestry in clinical guidelines.

Multicenter evaluation of a method to identify delayed diagnosis of diabetic ketoacidosis and sepsis in administrative data.

OBJECTIVES: To derive a method of automated identification of delayed diagnosis of two serious pediatric conditions seen in the emergency department (ED): new-onset diabetic ketoacidosis (DKA) and sepsis. METHODS: Patients under 21 years old from five pediatric EDs were included if they had two encounters within 7 days, the second resulting in a diagnosis of DKA or sepsis. The main outcome was delayed diagnosis based on detailed health record review using a validated rubric. Using logistic regression, we derived a decision rule evaluating the likelihood of delayed diagnosis using only characteristics available in administrative data. Test characteristics at a maximal accuracy threshold were determined. RESULTS: Delayed diagnosis was present in 41/46 (89 %) of DKA patients seen twice within 7 days. Because of the high rate of delayed diagnosis, no characteristic we tested added predictive power beyond the presence of a revisit. For sepsis, 109/646 (17 %) of patients were deemed to have a delay in diagnosis. Fewer days between ED encounters was the most important characteristic associated with delayed diagnosis. In sepsis, our final model had a sensitivity for delayed diagnosis of 83.5 % (95 % confidence interval 75.2-89.9) and specificity of 61.3 % (95 % confidence interval 56.0-65.4). CONCLUSIONS: Children with delayed diagnosis of DKA can be identified by having a revisit within 7 days. Many children with delayed diagnosis of sepsis may be identified using this approach with low specificity, indicating the need for manual case review.

Emergency Department Volume and Delayed Diagnosis of Pediatric Appendicitis: A Retrospective Cohort Study.

OBJECTIVE: To determine the association of emergency department (ED) volume of children and delayed diagnosis of appendicitis. BACKGROUND: Delayed diagnosis of appendicitis is common in children. The association between ED volume and delayed diagnosis is uncertain, but diagnosis-specific experience might improve diagnostic timeliness. METHODS: Using Healthcare Cost and Utilization Project 8-state data from 2014 to 2019, we studied all children with appendicitis <18 years old in all EDs. The main outcome was probable delayed diagnosis: >75% likelihood that a delay occurred based on a previously validated measure. Hierarchical models tested associations between ED volumes and delay, adjusting for age, sex, and chronic conditions. We compared complication rates by delayed diagnosis occurrence. RESULTS: Among 93,136 children with appendicitis, 3,293 (3.5%) had delayed diagnosis. Each 2-fold increase in ED volume was associated with a 6.9% (95% CI: 2.2, 11.3) decreased odds of delayed diagnosis. Each 2-fold increase in appendicitis volume was associated with a 24.1% (95% CI: 21.0, 27.0) decreased odds of delay. Those with delayed diagnosis were more likely to receive intensive care [odds ratio (OR): 1.81, 95% CI: 1.48, 2.21], have perforated appendicitis (OR: 2.81, 95% CI: 2.62, 3.02), undergo abdominal abscess drainage (OR: 2.49, 95% CI: 2.16, 2.88), have multiple abdominal surgeries (OR: 2.56, 95% CI: 2.13, 3.07), or develop sepsis (OR: 2.02, 95% CI: 1.61, 2.54). CONCLUSIONS: Higher ED volumes were associated with a lower risk of delayed diagnosis of pediatric appendicitis. Delay was associated with complications.

OUTCOMES OF MISSED DIAGNOSIS OF PEDIATRIC APPENDICITIS, NEW-ONSET DIABETIC KETOACIDOSIS, AND SEPSIS IN FIVE PEDIATRIC HOSPITALS.

BACKGROUND: Missed diagnosis can predispose to worse condition-specific outcomes. OBJECTIVE: To determine 90-day complication rates and hospital utilization after a missed diagnosis of pediatric appendicitis, new-onset diabetic ketoacidosis (DKA), and sepsis. METHODS: We evaluated patients under 21 years of age visiting five pediatric emergency departments (EDs) with a study condition. Case patients had a preceding ED visit within 7 days of diagnosis and underwent case review to confirm a missed diagnosis. Control patients had no preceding ED visit. We compared complication rates and utilization between case and control patients after adjusting for age, sex, and insurance. RESULTS: We analyzed 29,398 children with appendicitis, 5366 with DKA, and 3622 with sepsis, of whom 429, 33, and 46, respectively, had a missed diagnosis. Patients with missed diagnosis of appendicitis or DKA had more hospital days and readmissions; there were no significant differences for those with sepsis. Those with missed appendicitis were more likely to have abdominal abscess drainage (adjusted odds ratio [aOR] 3.0, 95% confidence interval [CI] 2.4-3.6) or perforated appendicitis (aOR 3.1, 95% CI 2.5-3.8). Those with missed DKA were more likely to have cerebral edema (aOR 4.6, 95% CI 1.5-11.3), mechanical ventilation (aOR 13.4, 95% CI 3.8-37.1), or death (aOR 28.4, 95% CI 1.4-207.5). Those with missed sepsis were less likely to have mechanical ventilation (aOR 0.5, 95% CI 0.2-0.9). Other illness complications were not significantly different by missed diagnosis. CONCLUSIONS: Children with delayed diagnosis of appendicitis or new-onset DKA had a higher risk of 90-day complications and hospital utilization than those with a timely diagnosis.

Identification of delayed diagnosis of paediatric appendicitis in administrative data: a multicentre retrospective validation study.

OBJECTIVE: To derive and validate a tool that retrospectively identifies delayed diagnosis of appendicitis in administrative data with high accuracy. DESIGN: Cross-sectional study. SETTING: Five paediatric emergency departments (EDs). PARTICIPANTS: 669 patients under 21 years old with possible delayed diagnosis of appendicitis, defined as two ED encounters within 7 days, the second with appendicitis. OUTCOME: Delayed diagnosis was defined as appendicitis being present but not diagnosed at the first ED encounter based on standardised record review. The cohort was split into derivation (2/3) and validation (1/3) groups. We derived a prediction rule using logistic regression, with covariates including variables obtainable only from administrative data. The resulting trigger tool was applied to the validation group to determine area under the curve (AUC). Test characteristics were determined at two predicted probability thresholds. RESULTS: Delayed diagnosis occurred in 471 (70.4%) patients. The tool had an AUC of 0.892 (95% CI 0.858 to 0.925) in the derivation group and 0.859 (95% CI 0.806 to 0.912) in the validation group. The positive predictive value (PPV) for delay at a maximal accuracy threshold was 84.7% (95% CI 78.2% to 89.8%) and identified 87.3% of delayed cases. The PPV at a stricter threshold was 94.9% (95% CI 87.4% to 98.6%) and identified 46.8% of delayed cases. CONCLUSIONS: This tool accurately identified delayed diagnosis of appendicitis. It may be used to screen for potential missed diagnoses or to specifically identify a cohort of children with delayed diagnosis.

Health Care Utilization Trends Across the Transition Period in a National Cohort of Adolescents and Young Adults With Type 1 Diabetes.

OBJECTIVE: Lack of effective transition from pediatric to adult care may contribute to adverse outcomes in young adults with type 1 diabetes. The understanding of outpatient and acute care utilization patterns across the adolescent to young adult transition age in type 1 diabetes populations is suboptimal in the U.S. RESEARCH DESIGN AND METHODS: We studied claims data from 14,616 individuals diagnosed with type 1 diabetes, aged 16-24 years, and enrolled in a large national health plan for ≥1 year from 2005 to 2012. Annual outpatient and emergency department visits and hospitalization rates were calculated at each age. Generalized estimating equations were used to assess the association of age-group (adolescents [age 16-18 years] vs. young adults [age 19-24 years]), outpatient visits, and sociodemographic variables with emergency department visit and hospitalization rates. RESULTS: Endocrinologist visits declined from 2.3 per year at age 16 years to 1.5 per year by age 22. Emergency department rates increased per year from 45 per 100 at age 16 to 63 per 100 at age 20, then decreased to 60 per 100 by age 24. Hospitalizations per year climbed from 14 per 100 at age 16 to 21 per 100 at age 19, then decreased to 17 per 100 by age 24. In statistical models, young adults experienced higher rates of emergency department visits (incidence rate ratio [IRR] 1.24 [95% CI 1.18, 1.31]) and hospitalizations (IRR 1.25 [95% CI 1.15, 1.36]) than adolescents. Additional significant predictors of emergency department visits and hospitalizations included female sex and Black race. Individuals with two or more endocrinologist visits per year were less likely to have emergency department visits and hospitalizations; higher income was also protective. CONCLUSIONS: Results highlight concerning increases in acute care utilization for young adults with type 1 diabetes who are less engaged with outpatient diabetes care and highlight socioeconomic risk factors that warrant further study.

Creating a health equity and inclusion office in an academic pediatric medical center: priorities addressed and lessons learned.

BACKGROUND: Over the last two decades, medical schools and academic health centers have acknowledged the persistence of health disparities in their patients and the lack of diversity in their faculty, leaders and extended workforce. We established an Office of Health Equity and Inclusion (OHEI) at our pediatric academic medical center after a thorough evaluation of prior diversity initiatives and review of faculty development data. OBJECTIVE: To describe the lessons learned at a pediatric academic medical center in prioritizing and implementing health equity, diversity and inclusion (EDI) initiatives in creating the OHEI. MATERIALS AND METHODS: We reviewed internal administrative data and faculty development data, including data related to faculty who are underrepresented in medicine, to understand the role of our EDI initiatives in the strategic priorities addressed and lessons learned in the creation of the OHEI. RESULTS: The intentional steps taken in our medical center's strategic approach in the creation of this office led to four important lessons to improve pediatric health equity: (1) board, senior executive and institutional prioritization of EDI initiatives; (2) multi-specialty and interprofessional collaboration; (3) academic approach to EDI programmatic development; and (4) intentionality with accountability in all EDI initiatives. CONCLUSION: The key lessons learned during the creation of an Office of Health Equity and Inclusion can provide guidance to other academic health centers committed to implementing institutional priorities that focus their EDI initiatives on the improvement of pediatric health equity.

Clinical Features and Preventability of Delayed Diagnosis of Pediatric Appendicitis.

Importance: Delayed diagnosis of appendicitis is associated with worse outcomes than timely diagnosis, but clinical features associated with diagnostic delay are uncertain, and the extent to which delays are preventable is unclear. Objective: To determine clinical features associated with delayed diagnosis of pediatric appendicitis, assess the frequency of preventable delay, and compare delay outcomes. Design, Setting, and Participants: This case-control study included 748 children treated at 5 pediatric emergency departments in the US between January 1, 2010, and December 31, 2019. Participants were younger than 21 years and had a diagnosis of appendicitis. Exposures: Individual features of appendicitis and pretest likelihood of appendicitis were measured by the Pediatric Appendicitis Risk Calculator (pARC). Main Outcomes and Measures: Case patients had a delayed diagnosis of appendicitis, defined as 2 emergency department visits leading to diagnosis and a case review showing the patient likely had appendicitis at the first visit. Control patients had a single emergency department visit yielding a diagnosis. Clinical features and pARC scores were compared by case-control status. Preventability of delay was assessed as unlikely, possible, or likely. The proportion of children with indicated imaging based on an evidence-based cost-effectiveness threshold was determined. Outcomes of delayed diagnosis were compared by case-control status, including hospital length of stay, perforation, and multiple surgical procedures. Results: A total of 748 children (mean [SD] age, 10.2 [4.3] years; 392 boys [52.4%]; 427 White children [57.1%]) were included in the study; 471 (63.0%) had a delayed diagnosis of appendicitis, and 277 (37.0%) had no delay in diagnosis. Children with a delayed diagnosis were less likely to have pain with walking (adjusted odds ratio [aOR], 0.16; 95% CI, 0.10-0.25), maximal pain in the right lower quadrant (aOR, 0.12; 95% CI, 0.07-0.19), and abdominal guarding (aOR, 0.33; 95% CI, 0.21-0.51), and were more likely to have a complex chronic condition (aOR, 2.34; 95% CI, 1.05-5.23). The pretest likelihood of appendicitis was 39% to 52% lower in children with a delayed vs timely diagnosis. Among children with a delayed diagnosis, 109 cases (23.1%) were likely to be preventable, and 247 (52.4%) were possibly preventable. Indicated imaging was performed in 104 (22.0%) to 289 (61.3%) children with delayed diagnosis, depending on the imputation method for missing data on white blood cell count. Patients with delayed diagnosis had longer hospital length of stay (mean difference between the groups, 2.8 days; 95% CI, 2.3-3.4 days) and higher perforation rates (OR, 7.8; 95% CI, 5.5-11.3) and were more likely to undergo 2 or more surgical procedures (OR, 8.0; 95% CI, 2.0-70.4). Conclusions and Relevance: In this case-control study, delayed appendicitis was associated with initially milder symptoms but worse outcomes. These findings suggest that a majority of delayed diagnoses were at least possibly preventable and that many of these patients did not undergo indicated imaging, suggesting an opportunity to prevent delayed diagnosis of appendicitis in some children.

Validation of an Automated System for Identifying Complications of Serious Pediatric Emergencies.

BACKGROUND: Illness complications are condition-specific adverse outcomes. Detecting complications of pediatric illness in administrative data would facilitate widespread quality measurement, however the accuracy of such detection is unclear. METHODS: We conducted a cross-sectional study of patients visiting a large pediatric emergency department. We analyzed those <22 years old from 2012 to 2019 with 1 of 14 serious conditions: appendicitis, bacterial meningitis, diabetic ketoacidosis (DKA), empyema, encephalitis, intussusception, mastoiditis, myocarditis, orbital cellulitis, ovarian torsion, sepsis, septic arthritis, stroke, and testicular torsion. We applied a method using disposition, diagnosis codes, and procedure codes to identify complications. The automated determination was compared with the criterion standard of manual health record review by using positive predictive values (PPVs) and negative predictive values (NPVs). Interrater reliability of manual reviews used a κ. RESULTS: We analyzed 1534 encounters. PPVs and NPVs for complications were >80% for 8 of 14 conditions: appendicitis, bacterial meningitis, intussusception, mastoiditis, myocarditis, orbital cellulitis, sepsis, and testicular torsion. Lower PPVs for complications were observed for DKA (57%), empyema (53%), encephalitis (78%), ovarian torsion (21%), and septic arthritis (64%). A lower NPV was observed in stroke (68%). The κ between reviewers was 0.88. CONCLUSIONS: An automated method to measure complications by using administrative data can detect complications in appendicitis, bacterial meningitis, intussusception, mastoiditis, myocarditis, orbital cellulitis, sepsis, and testicular torsion. For DKA, empyema, encephalitis, ovarian torsion, septic arthritis, and stroke, the tool may be used to screen for complicated cases that may subsequently undergo manual review.

Development of a rubric for assessing delayed diagnosis of appendicitis, diabetic ketoacidosis and sepsis.

OBJECTIVES: Using case review to determine whether a patient experienced a delayed diagnosis is challenging. Measurement would be more accurate if case reviewers had access to multi-expert consensus on grading the likelihood of delayed diagnosis. Our objective was to use expert consensus to create a guide for objectively grading the likelihood of delayed diagnosis of appendicitis, new-onset diabetic ketoacidosis (DKA), and sepsis. METHODS: Case vignettes were constructed for each condition. In each vignette, a patient has the condition and had a previous emergency department (ED) visit within 7 days. Condition-specific multi-specialty expert Delphi panels reviewed the case vignettes and graded the likelihood of a delayed diagnosis on a five-point scale. Delayed diagnosis was defined as the condition being present during the previous ED visit. Consensus was defined as ≥75% agreement. In each Delphi round, panelists were given the scores from the previous round and asked to rescore. A case scoring guide was created from the consensus scores. RESULTS: Eighteen expert panelists participated. Consensus was achieved within three Delphi rounds for all appendicitis and sepsis vignettes. We reached consensus on 23/30 (77%) DKA vignettes. A case review guide was created from the consensus scores. CONCLUSIONS: Multi-specialty expert reviewers can agree on the likelihood of a delayed diagnosis for cases of appendicitis and sepsis, and for most cases of DKA. We created a guide that can be used by researchers and quality improvement specialists to allow for objective case review to determine when delayed diagnoses have occurred for appendicitis, DKA, and sepsis.

Measuring complications of serious pediatric emergencies using ICD-10.

OBJECTIVE: To create definitions for complications for 16 serious pediatric conditions using the International Classification of Diseases, 10th Revision, Clinical Modification or Procedure Coding System (ICD-10-CM/PCS), and to assess whether complication rates are similar to those measured with ICD-9-CM/PCS. DATA SOURCES: The Healthcare Cost and Utilization Project State Emergency Department and Inpatient Databases from five states between 2014 and 2017 were used to identify cases and assess complication rates. Incidences were calculated using population counts from the 5-year American Community Survey. DATA COLLECTION/EXTRACTION METHODS: Patients were identified by the presence of a diagnosis code for one of the 16 serious conditions. Only the first encounter for a given condition by a patient was included. Encounters resulting in transfer were excluded as the presence of complications was unknown. STUDY DESIGN: We defined complications using data elements routinely available in administrative databases including ICD-10-CM/PCS codes. The definitions were adapted from ICD-9-CM/PCS using general equivalence mappings and refined using consensus opinion. We included 16 serious conditions: appendicitis, bacterial meningitis, compartment syndrome, new-onset diabetic ketoacidosis (DKA), ectopic pregnancy, empyema, encephalitis, intussusception, mastoiditis, myocarditis, orbital cellulitis, ovarian torsion, sepsis, septic arthritis, stroke, and testicular torsion. Using data from children under 18 years, we compared incidences and complication rates across the ICD-10-CM/PCS transition for each condition using interrupted time series. PRINCIPAL FINDINGS: There were 61 314 ED visits for a serious condition; the most common was appendicitis (n = 37 493). Incidence rates for each condition were not significantly different across the ICD-10-CM/PCS transition for 13/16 conditions. Three differed: empyema (increased 42%), orbital cellulitis (increased 60%), and sepsis (increased 26%). Complication rates were not significantly different for each condition across the ICD-10-CM/PCS transition, except appendicitis (odds ratio 0.62, 95% CI 0.57-0.68), DKA (OR 3.79, 95% CI 1.92-7.50), and orbital cellulitis (OR 0.53, 95% CI 0.30-0.95). CONCLUSIONS: For most conditions, incidences and complication rates were similar before and after the transition to ICD-10-CM/PCS codes, suggesting our system identifies complications of conditions in administrative data similarly using ICD-9-CM/PCS and ICD-10-CM/PCS codes. This system may be applied to screen for cases with complications and in health services research.

Trends in Severe Pediatric Emergency Conditions in a National Cohort, 2008 to 2014.

OBJECTIVE: The objective of this study was to determine the incidence and recent trends in serious pediatric emergency conditions. METHODS: We conducted a cross-sectional study of the Nationwide Emergency Department Sample from 2008 through 2014, and included patients with age below 18 years with a serious condition, defined as each diagnosis group in the diagnosis grouping system with a severity classification system score of 5. We calculated national incidences for each serious condition using annualized weighted condition counts divided by annual United States census child population counts. We determined the highest-incidence serious conditions over the study period and calculated percentage changes between 2008 and 2014 for each serious condition using a Poisson model. RESULTS: The 2008 incidence of serious conditions across the national child population was 1721 visits per million person-years (95% confidence interval, 1485-1957). This incidence increased to 2020 visits per million person-years (95% confidence interval, 1661-2379) in 2014. The most common serious conditions were serious respiratory diseases, septicemia, and serious neurologic diseases. Anaphylaxis was the condition with the largest change, increasing by 147%, from 101 to 249 visits per million person-years. CONCLUSIONS: The most common serious condition in children presenting to United States emergency departments is serious respiratory disease. Anaphylaxis is the fastest increasing serious condition. Additional research attention to these diagnoses is warranted.

Trends in Capability of Hospitals to Provide Definitive Acute Care for Children: 2008 to 2016.

BACKGROUND: Provision of high-quality care to acutely ill and injured children is a challenge to US hospitals because many have low pediatric volume. Delineating national trends in definitive pediatric acute care would inform improvements in care. METHODS: We analyzed emergency department (ED) visits by children between 2008 and 2016 in the Nationwide Emergency Department Sample, a weighted sample of 20% of EDs nationally. For each hospital annually, we determined the Hospital Capability Index (HCI) to determine the frequency of definitive acute care, defined as hospitalization instead of ED transfer. Hospitals were classified annually according to 2008 HCI quartiles to understand shifts in pediatric capability. RESULTS: The national median HCI was 0.06 (interquartile range: 0.01-0.17) in 2008 and 0.02 (interquartile range: 0.00-0.09) in 2016 (P < .001). Definitive care became less common regardless of annual pediatric volume, urban or rural designation, or condition frequency. In 2016, 2171 EDs (49.0%) had HCIs <0.013, which represented the lowest 25% of ED HCIs in 2008. Pediatric visits to EDs categorized in the bottom 2008 capability quartile more than doubled from 2.5 million in 2008 to 5.3 million in 2016. Despite decreasing capability, centers with higher annual pediatric volume and urban centers provided more definitive inpatient care and had fewer inter-ED transfers than lower-volume and rural centers. CONCLUSIONS: Across the United States from 2008 to 2016, hospital provision of definitive acute pediatric care decreased, and ED visits to the hospitals least likely to provide definitive care increased. Systems improvements are needed to support hospital-based acute care of children.

Accuracy of automated identification of delayed diagnosis of pediatric appendicitis and sepsis in the ED.

BACKGROUND: Delayed diagnoses of serious emergency conditions can lead to morbidity in children, but are challenging to identify and measure. We developed and piloted an automated tool for identifying delayed diagnosis of two serious conditions commonly seen in the ED using administrative data. METHODS: We identified cases with a final diagnosis of appendicitis or sepsis in a freestanding children's hospital from 2008 to 2018, with any hospital ED encounter within the preceding 7 days. Two investigators reviewed a subset of these cases using the electronic health records (EHR) to determine if there was a delayed diagnosis and interrater reliability was assessed using the intraclass correlation coefficient (ICC). An automated tool was applied to the same cases to assess its positive predictive value (PPV) to identify those with a delayed diagnosis, using the manual chart review as the gold standard. The tool used number of days since visit, presence of a related diagnosis on the initial visit, and whether or not the patient was discharged. RESULTS: Previous ED encounters preceded 91/3703 (2.5%) appendicitis cases and 159/1754 (9.1%) sepsis cases; 78 cases of each were sampled for review. In manual review, 73.4% and 22.8% were thought to have delayed diagnoses; reviewer agreement was excellent (appendicitis ICC 0.77, 95% CI 0.62 to 0.86 and sepsis ICC 0.77, 95% CI 0.43 to 0.89). The PPVs of the automated tool for determination of delayed diagnosis for appendicitis within 1, 3 or 7 days were 96.2%, 95.1% and 93.6%, respectively. For sepsis, the PPVs were 71.4%, 63.6% and 41.2% within 1, 3 or 7 days, respectively. CONCLUSIONS: This automated tool performed well compared with expert EHR review. Performance was stronger for appendicitis. Further tool refinement could improve performance.

Complications of Serious Pediatric Conditions in the Emergency Department: Definitions, Prevalence, and Resource Utilization.

OBJECTIVES: To define and measure complications across a broad set of acute pediatric conditions in emergency departments using administrative data, and to assess the validity of these definitions by comparing resource utilization between children with and without complications. STUDY DESIGN: Using local consensus, we predefined complications for 16 acute conditions including appendicitis, diabetic ketoacidosis, ovarian torsion, stroke, testicular torsion, and 11 others. We studied patients under age 18 years using 3 data years from the Healthcare Cost and Utilization Project Statewide Databases of Maryland and New York. We measured complications by condition. Resource utilization was compared between patients with and without complications, including hospital length of stay, and charges. RESULTS: We analyzed 27 087 emergency department visits for a serious condition. The most common was appendicitis (n = 16 794), with 24.3% of cases complicated by 1 or more of perforation (24.1%), abscess drainage (2.8%), bowel resection (0.3%), or sepsis (0.9%). Sepsis had the highest mortality (5.0%). Children with complications had higher resource utilization: condition-specific length of stay was longer when complications were present, except ovarian and testicular torsion. Hospital charges were higher among children with complications (P < .05) for 15 of 16 conditions, with a difference in medians from $3108 (testicular torsion) to $13 7694 (stroke). CONCLUSIONS: Clinically meaningful complications were measurable and were associated with increased resource utilization. Complication rates determined using administrative data may be used to compare outcomes and improve healthcare delivery for children.

Early Antibiotics and Childhood Obesity: Do Future Risks Matter to Parents and Physicians?

To understand how parents and physicians make decisions regarding antibiotics and whether a potential associated risk of obesity would alter decisions, we conducted a qualitative study of parents and physicians who care for children. Parent focus groups and physician interviews used a guide focused on experience with antibiotics and perceptions of risks and benefits, including obesity. Content analysis was used to understand how a risk of obesity would influence antibiotic decisions. Most parents (n = 59) and physicians (n = 22) reported limited discussion about any risks at the time of antibiotic prescriptions. With an acute illness, most parents prioritized symptomatic improvement and chose to start antibiotics. Physicians' treatment preferences were varied. An obesity risk did not change most parents' or physicians' preferences. Given that parent-physician discussion at the time of acute illness is unlikely to change preferences, public health messaging may be a more successful approach to counter obesity and antibiotics overuse.

Trends in Outpatient Antibiotic Use in 3 Health Plans.

OBJECTIVES: Previous analyses of data from 3 large health plans suggested that the substantial downward trend in antibiotic use among children appeared to have attenuated by 2010. Now, data through 2014 from these same plans allow us to assess whether antibiotic use has declined further or remained stable. METHODS: Population-based antibiotic-dispensing rates were calculated from the same health plans for each study year between 2000 and 2014. For each health plan and age group, we fit Poisson regression models allowing 2 inflection points. We calculated the change in dispensing rates (and 95% confidence intervals) in the periods before the first inflection point, between the first and second inflection points, and after the second inflection point. We also examined whether the relative contribution to overall dispensing rates of common diagnoses for which antibiotics were prescribed changed over the study period. RESULTS: We observed dramatic decreases in antibiotic dispensing over the 14 study years. Despite previous evidence of a plateau in rates, there were substantial additional decreases between 2010 and 2014. Whereas antibiotic use rates decreased overall, the fraction of prescribing associated with individual diagnoses was relatively stable. Prescribing for diagnoses for which antibiotics are clearly not indicated appears to have decreased. CONCLUSIONS: These data revealed another period of marked decline from 2010 to 2014 after a relative plateau for several years for most age groups. Efforts to decrease unnecessary prescribing continue to have an impact on antibiotic use in ambulatory practice.