OBJECTIVE: To determine whether differences exist in antibiotic prescribing for respiratory infections in pediatric urgent cares (PUCs) by patient race/ethnicity, insurance, and language. DESIGN: Multi-center cohort study. SETTING: Nine organizations (92 locations) from 22 states and Washington, DC. PARTICIPANTS: Patients ages 6 months-18 years evaluated April 2022-April 2023, with acute viral respiratory infections, otitis media with effusion (OME), acute otitis media (AOM), pharyngitis, community-acquired pneumonia (CAP), and sinusitis. METHODS: We compared the use of first-line (FL) therapy as defined by published guidelines. We used race/ethnicity, insurance, and language as exposures. Multivariable logistic regression models estimated the odds of FL therapy by group. RESULTS: We evaluated 396,340 ARI encounters. Among all encounters, 351,930 (88.8%) received FL therapy (98% for viral respiratory infections, 85.4% for AOM, 96.0% for streptococcal pharyngitis, 83.6% for sinusitis). OME and CAP had the lowest rates of FL therapy (49.9% and 60.7%, respectively). Adjusted odds of receiving FL therapy were higher in Black Non-Hispanic (NH) (adjusted odds ratio [aOR] 1.53 [1.47, 1.59]), Asian NH (aOR 1.46 [1.40, 1.53], and Hispanic children (aOR 1.37 [1.33, 1.41]), compared to White NH. Additionally, odds of receiving FL therapy were higher in children with Medicaid/Medicare (aOR 1.21 [1.18-1.24]) and self-pay (aOR 1.18 [1.1-1.27]) compared to those with commercial insurance. CONCLUSIONS: This multicenter collaborative showed lower rates of FL therapy for children of the White NH race and those with commercial insurance compared to other groups. Exploring these differences through a health equity lens is important for developing mitigating strategies.

We updated a descriptive analysis of national outpatient antibiotic prescribing during the COVID-19 pandemic. Prescribing volume was lower during 2020 and January-June in 2021 and 2022 compared to corresponding baseline months in 2019. Prescribing approached or exceeded baseline during July-December of 2021 and 2022 for all antibiotics, especially for azithromycin.

BACKGROUND: Better understanding differences associated with antibiotic prescribing for acute sinusitis can help inform antibiotic stewardship strategies. We characterized antibiotic prescribing patterns for acute sinusitis among commercially insured adults and explored differences by patient- and prescriber-level factors. METHODS: Outpatient encounters among adults aged 18 to 64 years diagnosed with sinusitis between 2016 and 2020 were identified by national administrative claims data. We classified antibiotic agents-first-line (amoxicillin-clavulanate or amoxicillin) and second-line (doxycycline, levofloxacin, or moxifloxacin)-and ≤7-day durations as guideline concordant based on clinical practice guidelines. Modified Poisson regression was used to examine the association between patient- and prescriber-level factors and guideline-concordant antibiotic prescribing. RESULTS: Among 4 689 850 sinusitis encounters, 53% resulted in a guideline-concordant agent, 30% in a guideline-discordant agent, and 17% in no antibiotic prescription. About 75% of first-line agents and 63% of second-line agents were prescribed for >7 days, exceeding the length of therapy recommended by clinical guidelines. Adults with sinusitis living in a rural area were less likely to receive a prescription with guideline-concordant antibiotic selection (adjusted risk ratio [aRR], 0.92; 95% CI, .92-.92) and duration (aRR, 0.77; 95% CI, .76-.77). When compared with encounters in an office setting, urgent care encounters were less likely to result in a prescription with a guideline-concordant duration (aRR, 0.76; 95% CI, .75-.76). CONCLUSIONS: Opportunities still exist to optimize antibiotic agent selection and treatment duration for adults with acute sinusitis, especially in rural areas and urgent care settings. Recognizing specific patient- and prescriber-level factors associated with antibiotic prescribing can help inform antibiotic stewardship interventions.

The rapid expansion of telemedicine has highlighted challenges and opportunities to improve antibiotic use and effectively adapt antibiotic stewardship best practices to outpatient telemedicine settings. Antibiotic stewardship integration into telemedicine is essential to optimize antibiotic prescribing for patients and ensure health care quality. We performed a narrative review of published literature on antibiotic prescribing and stewardship in outpatient telemedicine to inform the adaptation of the Core Elements of Outpatient Antibiotic Stewardship framework to outpatient telemedicine settings. Our narrative review suggests that in-person antibiotic stewardship interventions can be adapted to outpatient telemedicine settings. We present considerations for applying the Core Elements of Outpatient Antibiotic Stewardship to outpatient telemedicine which builds upon growing evidence describing care delivery and quality improvement in this setting. Additional applied implementation research is necessary to inform the application of effective, sustainable, and equitable antibiotic stewardship interventions across the spectrum of outpatient telemedicine.

OBJECTIVE: Urgent care (UC) clinicians frequently prescribe inappropriate antibiotics for upper respiratory illnesses. In a national survey, pediatric UC clinicians reported family expectations as a primary driver for prescribing inappropriate antibiotics. Communication strategies effectively reduce unnecessary antibiotics while increasing family satisfaction. We aimed to reduce inappropriate prescribing practices in otitis media with effusion (OME), acute otitis media (AOM), and pharyngitis in pediatric UC clinics by a relative 20% within 6 months using evidence-based communication strategies. METHODS: We recruited participants via e-mails, newsletters, and Webinars from pediatric and UC national societies. We defined antibiotic-prescribing appropriateness based on consensus guidelines. Family advisors and UC pediatricians developed script templates based on an evidence-based strategy. Participants submitted data electronically. We reported data using line graphs and shared deidentified data during monthly Webinars. We used χ2 tests to evaluate change in appropriateness at the beginning and end of the study period. RESULTS: The 104 participants from 14 institutions submitted 1183 encounters for analysis in the intervention cycles. Using a strict definition of inappropriateness, overall inappropriate antibiotic prescriptions for all diagnoses trended downward from 26.4% to 16.6% (P = 0.13). Inappropriate prescriptions trended upward in OME from 30.8% to 46.7% (P = 0.34) with clinicians' increased use of "watch and wait" for this diagnosis. Inappropriate prescribing for AOM and pharyngitis improved from 38.6% to 26.5% (P = 0.03) and 14.5% to 8.8% (P = 0.44), respectively. CONCLUSIONS: Using templates to standardize communication with caregivers, a national collaborative decreased inappropriate antibiotic prescriptions for AOM and had downward trend in inappropriate antibiotic prescriptions for pharyngitis. Clinicians increased the inappropriate use of "watch and wait" antibiotics for OME. Future studies should evaluate barriers to the appropriate use of delayed antibiotic prescriptions.

OBJECTIVES: To describe acute respiratory illnesses (ARI) visits and antibiotic prescriptions in 2011 and 2018 across outpatient settings to evaluate progress in reducing unnecessary antibiotic prescribing for ARIs. DESIGN: Cross-sectional study. SETTING AND PATIENTS: Outpatient medical and pharmacy claims captured in the IBM MarketScan commercial database, a national convenience sample of privately insured individuals aged <65 years. METHODS: We calculated the annual number of ARI visits and visits with oral antibiotic prescriptions per 1,000 enrollees overall and by age category, sex, and setting in 2011 and 2018. We compared these and calculated prevalence rate ratios (PRRs). We adapted existing tiered-diagnosis methodology for International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes. RESULTS: In our study population, there were 829 ARI visits per 1,000 enrollees in 2011 compared with 760 ARI visits per 1,000 enrollees in 2018. In 2011, 39.3% of ARI visits were associated with ≥1 oral antibiotic prescription versus 36.2% in 2018. In 2018 compared with 2011, overall ARI visits decreased 8% (PRR, 0.92; 99.99% confidence interval [CI], 0.92-0.92), whereas visits with antibiotic prescriptions decreased 16% (PRR, 0.84; 99.99% CI, 0.84-0.85). Visits for antibiotic-inappropriate ARIs decreased by 9% (PRR, 0.91; 99.99% CI, 0.91-0.92), and visits with antibiotic prescriptions for these conditions decreased by 32% (PRR, 0.68; 99.99% CI, 0.67-0.68) from 2011 to 2018. CONCLUSIONS: Both the rate of antibiotic prescriptions per 1,000 enrollees and the percentage of visits with antibiotic prescriptions decreased modestly from 2011 to 2018 in our study population. These decreases were greatest for antibiotic-inappropriate ARIs; however, additional reductions in inappropriate antibiotic prescribing are needed.

BACKGROUND: Studies have shown that the Southern United States has higher rates of outpatient antibiotic prescribing rates compared with other regions in the country, but the reasons for this variation are unclear. We aimed to determine whether the regional variability in outpatient antibiotic prescribing for respiratory diagnoses can be explained by differences in prescriber clinical factors found in a commercially insured population. METHODS: We analyzed the 2017 IBM MarketScan Commercial Database of commercially insured individuals aged <65 years. We included visits with acute respiratory tract infection (ARTI) diagnoses from retail clinics, urgent care centers, emergency departments, and physician offices. ARTI diagnoses were categorized based on antibiotic indication. We calculated risk ratios and 95% CIs stratified by ARTI tier and region using log-binomial models controlling for patient age, comorbidities, care setting, prescriber type, and diagnosis. RESULTS: Of the 14.9 million ARTI visits, 40% received an antibiotic. The South had the highest proportion of visits with an antibiotic prescription (43%), and the West the lowest (34%). ARTI visits in the South are 34% more likely receive an antibiotic for rarely antibiotic-appropriate ARTI visits when compared with the West in multivariable modeling (relative risk, 1.34; 95% CI, 1.33-1.34). CONCLUSIONS: It is likely that higher antibiotic prescribing in the South is in part due to nonclinical factors such as regional differences in clinicians' prescribing habits and patient expectations. There is a need for future studies to define and characterize these factors to better inform regional and local stewardship interventions and achieve greater health equity in antibiotic prescribing.

OBJECTIVES: To compare the antibiotic treatment failure and recurrence rates between antibiotic agents (amoxicillin, amoxicillin-clavulanate, cefdinir, and azithromycin) for children with uncomplicated acute otitis media (AOM) STUDY DESIGN: We completed a retrospective cohort study of children 6 months-12 years of age with uncomplicated AOM identified in a nationwide claims database. The primary exposure was antibiotic agent, and the primary outcomes were treatment failure and recurrence. Logistic regression was used to estimate odds ratios and analyses were stratified by primary exposure, patient age and antibiotic duration. RESULTS: Among the 1,051,007 children included in the analysis, 56.6% were prescribed amoxicillin, 13.5% amoxicillin-clavulanate, 20.6% cefdinir, and 9.3% azithromycin. Most prescriptions (93%) were for 10 days and 98% were filled within 1 day of the medical encounter. Treatment failure or recurrence occurred in 2.2% (95%CI: 2.1, 2.2) and 3.3% (3.2, 3.3) of children, respectively. Combined failure and recurrence rates were low for all agents including amoxicillin (1.7%; 1.7, 1.8) amoxicillin-clavulanate 11.3% (11.1, 11.5); cefdinir 10.0% (9.8, 10.1); azithromycin 9.8% (9.6, 10.0). CONCLUSIONS: Despite microbiologic changes in AOM etiology, treatment failure and recurrence were uncommon for all antibiotic agents and were lower for amoxicillin than for other agents. These findings support the continued use of amoxicillin as a first-line agent for AOM when antibiotics are prescribed.

BACKGROUND: Urgent care (UC; a convenient site to receive care for ambulatory-sensitive) centers conditions; however, UC clinicians showed the highest rate of inappropriate antibiotic prescriptions among outpatient settings according to national billing data. Antibiotic prescribing practices in pediatric-specific UC centers were not known but assumed to require improvement. The aim of this multisite quality improvement project was to reduce inappropriate antibiotic prescribing practices for 3 target diagnoses in pediatric UC centers by a relative 20% by December 1, 2019. METHODS: The Society of Pediatric Urgent Care invited pediatric UC clinicians to participate in a multisite quality improvement study from June 2019 to December 2019. The diagnoses included acute otitis media (AOM), otitis media with effusion, and pharyngitis. Algorithms based on published guidelines were used to identify inappropriate antibiotic prescriptions according to indication, agent, and duration. Sites completed multiple intervention cycles from a menu of publicly available antibiotic stewardship materials. Participants submitted data electronically. The outcome measure was the percentage of inappropriate antibiotic prescriptions for the target diagnoses. Process measures were use of delayed antibiotics for AOM and inappropriate testing in pharyngitis. RESULTS: From 20 UC centers, 157 providers submitted data from 3833 encounters during the intervention cycles. Overall inappropriate antibiotic prescription rates decreased by a relative 53.9%. Inappropriate antibiotic prescribing decreased from 57.0% to 36.6% for AOM, 54.6% to 48.4% for otitis media with effusion, and 66.9% to 11.7% for pharyngitis. CONCLUSIONS: Participating pediatric UC providers decreased inappropriate antibiotic prescriptions from 60.3% to 27.8% using publicly available interventions.

Antibiotic prescribing can lead to adverse drug events and antibiotic resistance, which pose ongoing urgent public health threats (1). Adults aged ≥65 years (older adults) are recipients of the highest rates of outpatient antibiotic prescribing and are at increased risk for antibiotic-related adverse events, including Clostridioides difficile and antibiotic-resistant infections and related deaths (1). Variation in antibiotic prescribing quality is primarily driven by prescribing patterns of individual health care providers, independent of patients' underlying comorbidities and diagnoses (2). Engaging higher-volume prescribers (the top 10% of prescribers by antibiotic volume) in antibiotic stewardship interventions, such as peer comparison audit and feedback in which health care providers receive data on their prescribing performance compared with that of other health care providers, has been effective in reducing antibiotic prescribing in outpatient settings and can be implemented on a large scale (3-5). This study analyzed data from the Centers for Medicare & Medicaid Services (CMS) Part D Prescriber Public Use Files (PUFs)* to describe higher-volume antibiotic prescribers in outpatient settings compared with lower-volume prescribers (the lower 90% of prescribers by antibiotic volume). Among the 59.4 million antibiotic prescriptions during 2019, 41% (24.4 million) were prescribed by the top 10% of prescribers (69,835). The antibiotic prescribing rate of these higher-volume prescribers (680 prescriptions per 1,000 beneficiaries) was 60% higher than that of lower-volume prescribers (426 prescriptions per 1,000 beneficiaries). Identifying health care providers responsible for a higher volume of antibiotic prescribing could provide a basis for additional assessment of appropriateness and outreach. Public health organizations and health care systems can use publicly available data to guide focused interventions to optimize antibiotic prescribing to limit the emergence of antibiotic resistance and improve patient outcomes.

Using a machine-learning model, we examined drivers of antibiotic prescribing for antibiotic-inappropriate acute respiratory illnesses in a large US claims data set. Antibiotics were prescribed in 11% of the 42 million visits in our sample. The model identified outpatient setting type, patient age mix, and state as top drivers of prescribing.

OBJECTIVES: Acute otitis media (AOM) is the most-common indication for antibiotics in children. Delayed antibiotic prescribing for AOM can significantly reduce unnecessary antibiotic use and is recommended by the American Academy of Pediatrics for select children. We sought to improve delayed prescribing for AOM across 8 outpatient pediatric practices in Colorado. METHODS: Through a collaborative initiative with American Academy of Pediatrics and the Centers for Disease Control and Prevention, we implemented an economical 6-month antimicrobial stewardship intervention that included education, audit and feedback, online resources, and content expertise. Practices used The Model for Improvement and plan-do-study-act cycles to improve delayed antibiotic prescribing. Generalized estimating equations were used to generate relative risk ratios (RRRs) for outcomes at the intervention end and 3- and 6-months postintervention. Practice surveys were evaluated. RESULTS: In total, 69 clinicians at 8 practice sites implemented 27 plan-do-study-act cycles. Practices varied by size (range: 6-37 providers), payer type, and geographic setting. The rate of delayed antibiotic prescribing increased from 2% at baseline to 21% at intervention end (RRR: 8.96; 95% confidence interval [CI]: 4.68-17.17). Five practices submitted postintervention data. The rate of delayed prescribing at 3 months and 6 months postintervention remained significantly higher than baseline (3 months postintervention, RRR: 8.46; 95% CI: 4.18-17.11; 6 months postintervention, RRR: 6.69; 95% CI: 3.53-12.65) and did not differ from intervention end (3 months postintervention, RRR: 1.12; 95% CI: 0.62-2.05; 6-months postintervention, RRR: 0.89; 95% CI: 0.53-1.49). CONCLUSIONS: Baseline rate of delayed prescribing was low. A low-cost intervention resulted in a significant and sustained increase in delayed antibiotic prescribing across a diversity of settings.

Background: Cavitary lesions (CLs) primarily identified by chest x-ray (CXR) have been associated with worse clinical outcomes among patients with pulmonary tuberculosis (PTB). Chest computed tomography (CT), which has better resolution and increased sensitivity to detect lung abnormalities, has been understudied in PTB patients. We compared detection of CLs by CT and CXR and assessed their association with time to sputum culture conversion (tSCC). Methods: This was a retrospective cohort study of 141 PTB patients who underwent CT. We used multivariate Cox proportional hazards models to evaluate the association between CLs on CXR and the number and single largest volume of CLs on CT with tSCC. Results: Thirty (21%) and 75 (53%) patients had CLs on CXR and CT, respectively. CT detected cavities in an additional 44 patients (31%) compared with CXR. After multivariable adjustment, we observed a negative association between CLs and tSCC, with an adjusted hazard ratio (aHR) of 0.56 (95% confidence interval [CI], 0.32 to 0.97) for single CLs and 0.31 (95% CI, 0.16 to 0.60) for multiple CLs present on CT. Patients with a CL volume >/=25 mL had a prolonged tSCC (aHR, 0.39; 95% CI, 0.21 to 0.72). CLs on CXR were not associated with increased tSCC after multivariable adjustment. Conclusions: CT detected a larger number of cavities in patients with PTB relative to CXR. We observed an association between increasing number and volume of CLs on CT and delayed tSCC independent of sputum microscopy result. Our findings highlight a potential role for CT in the clinical and research setting as a tool to risk-stratify patients with PTB.