Communication Strategies to Improve Antibiotic Prescribing in Pediatric Urgent Care Centers.

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 χ 2 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.

Antibiotic Stewardship in Outpatient Telemedicine: Adapting Centers for Disease Control and Prevention Core Elements to Optimize Antibiotic Use.

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.

Health Equity and Antibiotic Prescribing in the United States: A Systematic Scoping Review.

We performed a scoping review of articles published from 1 January 2000 to 4 January 2022 to characterize inequities in antibiotic prescribing and use across healthcare settings in the United States to inform antibiotic stewardship interventions and research. We included 34 observational studies, 21 cross-sectional survey studies, 4 intervention studies, and 2 systematic reviews. Most studies (55 of 61 [90%]) described the outpatient setting, 3 articles were from dentistry, 2 were from long-term care, and 1 was from acute care. Differences in antibiotic prescribing were found by patient's race and ethnicity, sex, age, socioeconomic factors, geography, clinician's age and specialty, and healthcare setting, with an emphasis on outpatient settings. Few studies assessed stewardship interventions. Clinicians, antibiotic stewardship experts, and health systems should be aware that prescribing behavior varies according to both clinician- and patient-level markers. Prescribing differences likely represent structural inequities; however, no studies reported underlying drivers of inequities in antibiotic prescribing.

Comparison of outpatient antibiotic prescriptions among older adults in IQVIA Xponent and publicly available Medicare Part D data, 2018.

The distributions of antibiotic prescriptions by geography, antibiotic class, and prescriber specialty are similar in the US Centers for Medicare and Medicaid Services (CMS) Part D Prescriber Public Use Files and IQVIA Xponent dataset. Public health organizations and healthcare systems can use these data to track antibiotic use and guide antibiotic stewardship interventions for older adults.

Regional Variation in Outpatient Antibiotic Prescribing for Acute Respiratory Tract Infections in a Commercially Insured Population, United States, 2017.

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.

Using machine learning to examine drivers of inappropriate outpatient antibiotic prescribing in acute respiratory illnesses.

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.

Urgent-care antibiotic prescribing: An exploratory analysis to evaluate health inequities.

Healthcare disparities and inequities exist in a variety of environments and manifest in diagnostic and therapeutic measures. In this commentary, we highlight our experience examining our organization's urgent care respiratory encounter antibiotic prescribing practices. We identified differences in prescribing based on several individual characteristics including patient age, race, ethnicity, preferred language, and patient and/or clinician gender. Our approach can serve as an electronic health record (EHR)-based methodology for disparity and inequity audits in other systems and for other conditions.

Outpatient Antifungal Prescribing Patterns in the United States, 2018.

Background: Widespread inappropriate antibiotic prescribing is a major driver of resistance. Little is known about antifungal prescribing practices in the United States, which is concerning given emerging resistance in fungi, particularly to azole antifungals. Objective: We analyzed outpatient U.S. antifungal prescribing data to inform stewardship efforts. Design: Descriptive analysis of outpatient antifungal prescriptions dispensed during 2018 in the IQVIA Xponent database. Methods: Prescriptions were summarized by drug, sex, age, geography, and healthcare provider specialty. Census denominators were used to calculate prescribing rates among demographic groups. Results: Healthcare providers prescribed 22.4 million antifungal courses in 2018 (68 prescriptions per 1,000 persons). Fluconazole was the most common drug (75%), followed by terbinafine (11%) and nystatin (10%). Prescription rates were higher among females vs. males (110 vs. 25 per 1,000) and adults vs. children (82 vs. 27 per 1,000). Prescription rates were highest in the South (81 per 1,000 persons) and lowest in the West (48 per 1,000 persons). Nurse practitioners and family practitioners prescribed the most antifungals (43% of all prescriptions), but the highest prescribing rates were among obstetrician-gynecologists (84 per provider). Conclusions: Prescribing of antifungal drugs in the outpatient setting was common, with enough courses dispensed for one in every 15 U.S. residents in 2018. Fluconazole use patterns suggest vulvovaginal candidiasis as a common indication. Regional prescribing differences could reflect inappropriate use or variations in disease burden. Further study of higher antifungal use in the South could help target antifungal stewardship practices.

Amoxicillin Versus Other Antibiotic Agents for the Treatment of Acute Otitis Media in Children.

OBJECTIVES: The objective of the study was 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 the antibiotic agent, and the primary outcomes were treatment failure and recurrence. Logistic regression was used to estimate ORs, 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% were prescribed amoxicillin-clavulanate, 20.6% were prescribed cefdinir, and 9.3% were prescribed azithromycin. Most prescriptions (93%) were for 10 days, and 98% were filled within 1 day of the medical encounter. Treatment failure and 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), and 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.

Identifying Higher-Volume Antibiotic Outpatient Prescribers Using Publicly Available Medicare Part D Data - United States, 2019.

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.

Association between antibiotic prescribing and visit duration among patients with respiratory tract infections.

Time constraints have been suggested as a potential driver of antibiotic overuse for acute respiratory tract infections. In this cross-sectional analysis of national data from visits to offices and emergency departments, we identified no statistically significant association between antibiotic prescribing and the duration of visits for acute respiratory tract infections.

Changes in outpatient antibiotic prescribing for acute respiratory illnesses, 2011 to 2018.

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.

Trends in US Outpatient Antibiotic Prescriptions During the Coronavirus Disease 2019 Pandemic.

BACKGROUND: The objective of our study was to describe trends in US outpatient antibiotic prescriptions from January through May 2020 and compare with trends in previous years (2017-2019). METHODS: We used data from the IQVIA Total Patient Tracker to estimate the monthly number of patients dispensed antibiotic prescriptions from retail pharmacies from January 2017 through May 2020. We averaged estimates from 2017 through 2019 and defined expected seasonal change as the average percent change from January to May 2017-2019. We calculated percentage point and volume changes in the number of patients dispensed antibiotics from January to May 2020 exceeding expected seasonal changes. We also calculated average percent change in number of patients dispensed antibiotics per month in 2017-2019 versus 2020. Data were analyzed overall and by agent, class, patient age, state, and prescriber specialty. RESULTS: From January to May 2020, the number of patients dispensed antibiotic prescriptions decreased from 20.3 to 9.9 million, exceeding seasonally expected decreases by 33 percentage points and 6.6 million patients. The largest changes in 2017-2019 versus 2020 were observed in April (-39%) and May (-42%). The number of patients dispensed azithromycin increased from February to March 2020 then decreased. Overall, beyond-expected decreases were greatest among children (≤19 years) and agents used for respiratory infections, dentistry, and surgical prophylaxis. CONCLUSIONS: From January 2020 to May 2020, the number of outpatients with antibiotic prescriptions decreased substantially more than would be expected because of seasonal trends alone, possibly related to the coronavirus disease 2019 pandemic and associated mitigation measures.

Burden of Candidemia in the United States, 2017.

BACKGROUND: Candidemia is a common healthcare-associated bloodstream infection with high morbidity and mortality. There are no current estimates of candidemia burden in the United States (US). METHODS: In 2017, the Centers for Disease Control and Prevention conducted active population-based surveillance for candidemia through the Emerging Infections Program in 45 counties in 9 states encompassing approximately 17 million persons (5% of the national population). Laboratories serving the catchment area population reported all blood cultures with Candida, and a standard case definition was applied to identify cases that occurred in surveillance area residents. Burden of cases and mortality were estimated by extrapolating surveillance area cases to national numbers using 2017 national census data. RESULTS: We identified 1226 candidemia cases across 9 surveillance sites in 2017. Based on this, we estimated that 22 660 (95% confidence interval [CI], 20 210-25 110) cases of candidemia occurred in the US in 2017. Overall estimated incidence was 7.0 cases per 100 000 persons, with highest rates in adults aged ≥ 65 years (20.1/100 000), males (7.9/100 000), and those of black race (12.3/100 000). An estimated 3380 (95% CI, 1318-5442) deaths occurred within 7 days of a positive Candida blood culture, and 5628 (95% CI, 2465-8791) deaths occurred during the hospitalization with candidemia. CONCLUSIONS: Our analysis highlights the substantial burden of candidemia in the US. Because candidemia is only one form of invasive candidiasis, the true burden of invasive infections due to Candida is higher. Ongoing surveillance can support future burden estimates and help assess the impact of prevention interventions.

Severe Pulmonary Disease Associated with Electronic-Cigarette-Product Use - Interim Guidance.

On September 6, 2019, this report was posted as an MMWR Early Release on the MMWR website (https://www.cdc.gov/mmwr). As of August 27, 2019, 215 possible cases of severe pulmonary disease associated with the use of electronic cigarette (e-cigarette) products (e.g., devices, liquids, refill pods, and cartridges) had been reported to CDC by 25 state health departments. E-cigarettes are devices that produce an aerosol by heating a liquid containing various chemicals, including nicotine, flavorings, and other additives (e.g., propellants, solvents, and oils). Users inhale the aerosol, including any additives, into their lungs. Aerosols produced by e-cigarettes can contain harmful or potentially harmful substances, including heavy metals such as lead, volatile organic compounds, ultrafine particles, cancer-causing chemicals, or other agents such as chemicals used for cleaning the device (1). E-cigarettes also can be used to deliver tetrahydrocannabinol (THC), the principal psychoactive component of cannabis, or other drugs; for example, "dabbing" involves superheating substances that contain high concentrations of THC and other plant compounds (e.g., cannabidiol) with the intent of inhaling the aerosol. E-cigarette users could potentially add other substances to the devices. This report summarizes available information and provides interim case definitions and guidance for reporting possible cases of severe pulmonary disease. The guidance in this report reflects data available as of September 6, 2019; guidance will be updated as additional information becomes available.

Candida Bloodstream Infections Among Persons Who Inject Drugs - Denver Metropolitan Area, Colorado, 2017-2018.

Candidemia, a bloodstream infection caused by Candida species, is typically considered a health care-associated infection, with known risk factors including the presence of a central venous catheter, receipt of total parenteral nutrition or broad-spectrum antibiotics, recent abdominal surgery, admission to an intensive care unit, and prolonged hospitalization (1,2). Injection drug use (IDU) is not a common risk factor for candidemia; however, in the context of the ongoing opioid epidemic and corresponding IDU increases, IDU has been reported as an increasingly common condition associated with candidemia (3) and methicillin-resistant Staphylococcus aureus bacteremia (4). Little is known about the epidemiology of candidemia among persons who inject drugs. The Colorado Department of Public Health and Environment (CDPHE) conducts population-based surveillance for candidemia in the five-county Denver metropolitan area, encompassing 2.7 million persons, through CDC's Emerging Infections Program (EIP). As part of candidemia surveillance, CDPHE collected demographic, clinical, and IDU behavior information for persons with Candida-positive blood cultures during May 2017-August 2018. Among 203 candidemia cases reported, 23 (11%) occurred in 22 patients with a history of IDU in the year preceding their candidemia episode. Ten (43%) of the 23 cases were considered community-onset infections, and four (17%) cases were considered community-onset infections with recent health care exposures. Seven (32%) of the 22 patients had disseminated candidiasis with end-organ dysfunctions; four (18%) died during their hospitalization. In-hospital IDU was reported among six (27%) patients, revealing that IDU can be a risk factor in the hospital setting as well as in the community. In addition to community interventions, opportunities to intervene during health care encounters to decrease IDU and unsafe injection practices might prevent infections, including candidemia, among persons who inject drugs.

A Tale of Two Healthcare-associated Infections: Clostridium difficile Coinfection Among Patients With Candidemia.

Candidemia and Clostridium difficile infection (CDI) are important healthcare-associated infections that share certain risk factors. We sought to describe candidemia-CDI coinfection using population-based surveillance data. We found that nearly 1 in 10 patients with candidemia had CDI coinfection.