BACKGROUND: Patients visiting the emergency department (ED) for nontraumatic dental conditions usually receive nondefinitive health care and are referred to treatment elsewhere. This may lead to potentially avoidable antibiotic and opioid use. METHODS: A retrospective study was conducted in IBM MarketScan Research Databases in Treatment Pathways from 2012 through 2014. This study included patients with commercial insurance or enrolled in Medicaid. Patients receiving a diagnosis of a dental condition in the ED with no secondary diagnosis warranting an antibiotic prescription were included. Patients were stratified on the basis of the primary payer and available demographics, as well as on the basis of repeat visits to the ED. RESULTS: A higher proportion of Medicaid beneficiaries (280,410, 4.9%) had dental-related visits compared with the commercially insured (159,066, 1.3%). The most common diagnoses were similar for both groups and included caries. In both cohorts, the 18- through 34-year age group had the highest rate of dental-related ED visits. Within 7 days of a dental-related ED visit, 54.9% of Medicaid beneficiaries and 55.0% of commercially insured beneficiaries filled a prescription for an antibiotic and 39.6% of Medicaid patients and 42.0% of commercially insured patients filled an opioid prescription. CONCLUSIONS: Antibiotics and opioids are frequently prescribed during ED visits for dental conditions. Access to preventive and acute oral health care for routine dental symptoms, such as caries, may reduce unnecessary prescriptions in both the commercially insured and Medicaid beneficiary populations. PRACTICAL IMPLICATIONS: Treatment of dental conditions in the ED often indicates a lack of access to preventive or acute oral health care. Data-driven solutions, such as guideline implementation, could improve oral health access, reduce medication-related harms, and avert health care expenditures.

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.

OBJECTIVE: To describe national antibiotic prescribing for acute gastroenteritis (AGE). SETTING: Ambulatory care. METHODS: We included visits with diagnoses for bacterial and viral gastrointestinal infections from the National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey (NAMCS/NHAMCS; 2006-2015) and the IBM Watson 2014 MarketScan Commercial Claims and Encounters Database. For NAMCS/NHAMCS, we calculated annual percentage estimates and 99% confidence intervals (CIs) of visits with antibiotics prescribed; sample sizes were too small to calculate estimates by pathogen. For MarketScan, we used Poisson regression to calculate the percentage of visits with antibiotics prescribed and 95% CIs, including by pathogen. RESULTS: We included 10,210 NAMCS/NHAMCS AGE visits; an estimated 13.3% (99% CI, 11.2%-15.4%) resulted in antibiotic prescriptions, most frequently fluoroquinolones (28.7%; 99% CI, 21.1%-36.3%), nitroimidazoles (20.2%; 99% CI, 14.0%-26.4%), and penicillins (18.9%; 99% CI, 11.6%-26.2%). In NAMCS/NHAMCS, antibiotic prescribing was least frequent in emergency departments (10.8%; 99% CI, 9.5%-12.1%). Among 1,868,465 MarketScan AGE visits, antibiotics were prescribed for 13.8% (95% CI, 13.7%-13.8%), most commonly for Yersinia (46.7%; 95% CI, 21.4%-71.9%), Campylobacter (44.8%; 95% CI, 41.5%-48.1%), Shigella (39.7%; 95% CI, 35.9%-43.6%), typhoid or paratyphoid fever (32.7%; (95% CI, 27.2%-38.3%), and nontyphoidal Salmonella (31.7%; 95% CI, 29.5%-33.9%). Antibiotics were prescribed for 12.3% (95% CI, 11.7%-13.0%) of visits for viral gastroenteritis. CONCLUSIONS: Overall, 13% of AGE visits resulted in antibiotic prescriptions. Antibiotics were unnecessarily prescribed for viral gastroenteritis and some bacterial infections for which antibiotics are not recommended. Antibiotic stewardship assessments and interventions for AGE are needed in ambulatory settings.

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.

This study of Medicare claims data examines the prescribing of antibiotics to older US patients who had outpatient visits for COVID-19 in an effort to address unnecessary antibiotic use for viral infections.

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.

An American Academy of Pediatrics State Chapter organized a 6-month, mostly online quality improvement learning collaborative to improve antibiotic prescribing and patient education for upper respiratory infection (URI) and acute otitis media (AOM). Practices submitted data on quality measures at baseline, monthly, and 4 months post-project. Fifty-three clinicians from 6 independent, private primary care pediatric practices participated. Use of first-line antibiotics for AOM increased from 63.5% at baseline to 80.4% 4 months post-project. Use of safety-net antibiotic prescriptions (SNAP) for AOM increased from 4.5% to 16.9%. Educating patients about management for URI increased from 66.1% to 88.0% and for AOM from 20.4% to 85.6%. Practices maintained high performance for not prescribing antibiotics for URI (94.4% to 96.2%). Leveraging local relationships and national resources, this replicable antibiotic stewardship project engaged independent private practices to improve patient education for URI and AOM and prescribing and use of SNAP for AOM.

Using the 2014 IBM MarketScan Commercial Database, we compared antibiotic selection for pharyngitis, sinusitis, and acute otitis media in retail clinics, emergency departments, urgent cares, and offices. Only 50% of visits for these conditions received recommended first-line antibiotics. Improving antibiotic selection for common outpatient conditions is an important stewardship target.

Antibiotics are among the most commonly prescribed medications in nursing homes,Reference Gurwitz, Field, Judge, Rochon, Harrold and Cadoret1 and they are frequently prescribed inappropriately.Reference Lim, Kong and Stuart2, Reference Nicolle, Bentley, Garibaldi, Neuhaus and Smith3 The Centers for Medicare and Medicaid Services requires that all nursing homes have an antibiotic stewardship program and a system for monitoring antibiotic use.4 Antibiotic use can be monitored using different measures to identify potential targets for practice improvement and to track the impact of antibiotic stewardship interventions.Reference Mylotte5 The 2 most commonly used antibiotic use measures in nursing homes are antibiotic days of therapy and antibiotic starts.Reference Mylotte5, 6

BACKGROUND: While antibiotics are life-saving drugs, their use is not without risk, including adverse events and antibiotic resistance. The majority of US antibiotic prescriptions are prescribed in outpatient settings, making outpatient antibiotic prescribing an important antibiotic stewardship target. The primary objective of this study was to describe trends in US outpatient oral antibiotic prescriptions from 2011-2016. METHODS: We estimated annual oral antibiotic prescription rates using national prescription dispensing count data from IQVIA Xponent divided by census estimates for 2011-2016. We calculated the ratio of broad- to narrow-spectrum prescriptions by dividing broad-spectrum prescription rates by narrow-spectrum prescription rates. We used Poisson models to estimate prevalence rate ratios comparing 2011 and 2016 antibiotic prescription rates and linear models to evaluate temporal trends throughout the study period. RESULTS: Oral antibiotic prescription rates decreased 5% from 877 prescriptions per 1,000 persons in 2011 to 836 per 1,000 persons in 2016. During this period, rates of prescriptions dispensed to children decreased 13% while adult rates increased 2%. The ratio of broad- to narrow-spectrum antibiotics decreased from 1.62 in 2011 to 1.49 in 2016, driven by decreases in macrolides and fluoroquinolones. The proportion of prescriptions written by nurse practitioners and physician assistants increased during the study period; in 2016, these providers prescribed over one-quarter of all antibiotic prescriptions. CONCLUSIONS: Outpatient antibiotic prescription rates, especially of broad-spectrum agents, have decreased in recent years. Clinicians who prescribe to adults, including nurse practitioners and physician assistants, are important targets for antibiotic stewardship.

OBJECTIVES: To characterize antibiotics prescribed to older adults to guide efforts to improve antibiotic use. DESIGN: Descriptive analysis. SETTING: Ambulatory. PARTICIPANTS: Adults aged 65 and older in the United States. MEASUREMENTS: Information on outpatient antibiotic prescriptions dispensed for older adults from 2011 to 2014 was extracted from the IQVIA Xponent database. A chi-square trend analysis was conducted to assess annual changes in antibiotic prescribing rates. A descriptive analysis of prescribing rates by antibiotic, age group, sex, state, Census region, and provider specialty was conducted. RESULTS: From 2011 to 2014, outpatient antibiotic prescribing rates remained stable in older U.S. adults (P = .89). In 2014, older adults were dispensed 51.6 million prescriptions (1,115 prescriptions/1,000 persons). Persons aged 75 and older had a higher prescribing rate (1,157 prescriptions/1,000 persons) than those aged 65 to 74 (1,084 prescriptions/1,000 persons). Prescribing rates were highest in the South 1228 prescriptions/1,000 persons) and lowest in the West (854 prescriptions/1,000 persons). The most commonly prescribed class was quinolones, followed by penicillins and macrolides. Azithromycin was the most commonly prescribed drug, followed by amoxicillin and ciprofloxacin. Internists and family physicians prescribed 43% of antibiotic courses. CONCLUSION: On average, in 2014, U.S. adults aged 65 and older received enough outpatient antibiotic courses for every older adult to receive at least 1. Quinolones and azithromycin are potential targets for assessing the appropriateness of antibiotic prescribing in this population. Interventions to improve use targeting internists and family physicians in the South Census region might have the potential to have the greatest effect.

Our objective was to identify characteristics associated with high-volume antibiotic prescribing among office-based primary care physicians to target antibiotic stewardship efforts. Physicians aged 40 years and older who were male, located in the South, and in solo or 2-physician practices prescribed higher volumes of antibiotics than their peers by specialty.

This cohort study compares antibiotic prescribing in 2014 among retail clinics, urgent care centers, emergency departments, and traditional medical offices in the United States.

Between 2000-2012, the national estimated incidence rate of pediatric mastoiditis, a rare but serious complication of acute otitis media (AOM), was highest in 2006 (2.7 per 100,000 population) and lowest in 2012 (1.8 per 100,000 population). This measure provides a baseline for public health surveillance in the pneumococcal conjugate vaccine era as stewardship efforts target antibiotic use in AOM.

This study evaluates the duration of antibiotic therapy prescribed for US adults with sinusitis.

We investigated whether outpatient antimicrobial drug prescribing is associated with Neisseria gonorrhoeae antimicrobial drug susceptibility in the United States. Using susceptibility data from the Gonococcal Isolate Surveillance Project during 2005-2013 and QuintilesIMS data on outpatient cephalosporin, macrolide, and fluoroquinolone prescribing, we constructed multivariable linear mixed models for each antimicrobial agent with 1-year lagged annual prescribing per 1,000 persons as the exposure and geometric mean MIC as the outcome of interest. Multivariable models did not demonstrate associations between antimicrobial drug prescribing and N. gonorrhoeae susceptibility for any of the studied antimicrobial drugs during 2005-2013. Elucidation of epidemiologic factors contributing to resistance, including further investigation of the potential role of antimicrobial drug use, is needed.

BACKGROUND: Using antibiotics appropriately is critical to slow spread of antibiotic resistance, a major public health problem. Children, especially young children, receive more antibiotics than other age groups. Our objective was to describe antibiotic use in children in the United States (US) and use of azithromycin, which is recommended infrequently for pediatric conditions. METHODS: We used QuintilesIMS Xponent 2013 data to calculate the number and rate of oral antibiotic prescriptions for children by age (0-2, 3-9 and 10-19 years) and agent. We used log-binomial regression to calculate adjusted prevalence rations (PR) and 95% confidence intervals (CI) to determine if specialty and patient age were associated with azithromycin selection when an antibiotic was prescribed. RESULTS: In 2013, 66.8 million antibiotics were prescribed to US children aged ≤19 years (813 antibiotic prescriptions per 1000 children). Amoxicillin and azithromycin were the two most commonly prescribed agents (23.1 million courses, 35% of all antibiotics; 12.2 million, 18%; respectively). Most antibiotics for children were prescribed by pediatricians (39%) and family practitioners (15%). Family practitioners were more likely to select azithromycin when an antibiotic was prescribed in all age groups than pediatricians (for children aged 0-2 years: PR 1.79, 95% CI, 1.78-1.80; 3-9 years: 1.40, 1.40-1.40; and 10-19 years: 1.18, 1.18-1.18). CONCLUSION: Despite infrequent pediatric recommendations, variations in pediatric azithromycin use may suggest inappropriate antibiotic selection. Public health interventions focused on improving antibiotic selection in children as well as reducing antibiotic overuse are needed.

BACKGROUND: Dentists prescribe approximately 10% of outpatient antibiotics, but little is known about dentists' antibiotic prescribing patterns. The authors conducted a study to characterize prescribing by dentists according to antibiotic agent and category, patient demographic characteristics, and geographic region in the United States. METHODS: The authors identified oral antibiotic prescriptions dispensed during 2013 in the Xponent (QuintilesIMS) database. The authors used the total number of prescriptions and county-level census population denominators to calculate prescribing rates. In addition, the authors analyzed prescribing according to individual agent, drug category, and patient demographic characteristics and the total number of prescriptions calculated for general dentists overall. RESULTS: Dentists prescribed 24.5 million courses of antibiotics in 2013, a prescribing rate of 77.5 prescriptions per 1,000 people. Penicillins were the most commonly prescribed antibiotic category. Dentists prescribed most antibiotics for adults older than 19 years. The Northeast census region had the highest prescribing rate per 1,000 people. The District of Columbia had the highest prescribing rate of 99.5 per 1,000 people, and Delaware had the lowest prescribing rate of 50.7 per 1,000 people. CONCLUSIONS: Dentists prescribe large quantities of antibiotics in outpatient settings, and there is considerable geographic variability. Additional study is needed to better understand the reasons for this variability and identify areas of possible intervention and improvement. PRACTICAL IMPLICATIONS: Continued efforts to combat antibiotic resistance will require all prescribers, including dentists, to examine prescribing behaviors for appropriateness and the effectiveness of guidelines to identify opportunities to optimize antibiotic use.

OBJECTIVES: Antibiotic prescribing has become increasingly viewed as an issue related to patient safety and quality of care. The objective of this study was to better understand the differences between health plan reporting and the geographic variation seen in quality measures related to antibiotic use. STUDY DESIGN: We focused on 3 measures from the Healthcare Effectiveness Data and Information Set (HEDIS) related to antibiotic prescribing and testing to guide antibiotic prescribing. METHODS: We analyzed data for 3 relevant measures for the years 2008 to 2012, including only commercial health plans. We analyzed the following 3 HEDIS measures: 1) "Appropriate Testing for Children With Pharyngitis," 2) "Appropriate Treatment for Children With Upper Respiratory Infections," and 3) "Avoidance of Antibiotic Treatment in Adults With Acute Bronchitis." RESULTS: Out of these 3 measures, health plans consistently performed poorly on the adult bronchitis measure. Performance was better on the 2 measures focused on the pediatric population. We also saw geographic variation between measures when looking at Census divisions across all years. CONCLUSIONS: There is wide variation between individual health plan performance on the measures related to antibiotic use. Geographic differences were also observed on these measures, with health plans in the South Central Census division performing worse than other parts of the country. Stakeholders, such as public health, advocacy groups, foundations, and professional societies, interested in improving the quality of care that patients receive related to antibiotic use in the outpatient setting should consider how existing measures and working with health plans could be used to improve prescribing.

IMPORTANCE: The National Action Plan for Combating Antibiotic-Resistant Bacteria set a goal of reducing inappropriate outpatient antibiotic use by 50% by 2020, but the extent of inappropriate outpatient antibiotic use is unknown. OBJECTIVE: To estimate the rates of outpatient oral antibiotic prescribing by age and diagnosis, and the estimated portions of antibiotic use that may be inappropriate in adults and children in the United States. DESIGN, SETTING, AND PARTICIPANTS: Using the 2010-2011 National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey, annual numbers and population-adjusted rates with 95% confidence intervals of ambulatory visits with oral antibiotic prescriptions by age, region, and diagnosis in the United States were estimated. EXPOSURES: Ambulatory care visits. MAIN OUTCOMES AND MEASURES: Based on national guidelines and regional variation in prescribing, diagnosis-specific prevalence and rates of total and appropriate antibiotic prescriptions were determined. These rates were combined to calculate an estimate of the appropriate annual rate of antibiotic prescriptions per 1000 population. RESULTS: Of the 184,032 sampled visits, 12.6% of visits (95% CI, 12.0%-13.3%) resulted in antibiotic prescriptions. Sinusitis was the single diagnosis associated with the most antibiotic prescriptions per 1000 population (56 antibiotic prescriptions [95% CI, 48-64]), followed by suppurative otitis media (47 antibiotic prescriptions [95% CI, 41-54]), and pharyngitis (43 antibiotic prescriptions [95% CI, 38-49]). Collectively, acute respiratory conditions per 1000 population led to 221 antibiotic prescriptions (95% CI, 198-245) annually, but only 111 antibiotic prescriptions were estimated to be appropriate for these conditions. Per 1000 population, among all conditions and ages combined in 2010-2011, an estimated 506 antibiotic prescriptions (95% CI, 458-554) were written annually, and, of these, 353 antibiotic prescriptions were estimated to be appropriate antibiotic prescriptions. CONCLUSIONS AND RELEVANCE: In the United States in 2010-2011, there was an estimated annual antibiotic prescription rate per 1000 population of 506, but only an estimated 353 antibiotic prescriptions were likely appropriate, supporting the need for establishing a goal for outpatient antibiotic stewardship.

Financial resources tend to be limited in schistosomiasis endemic areas, forcing program managers to balance financial and scientific considerations when selecting detection assays. Therefore, we compared the costs of using single stool Kato-Katz, triplicate stool Kato-Katz, and point-of-care circulating cathodic antigen (POC-CCA) assays for the detection of Schistosoma mansoni infection. Economic and financial costs were estimated from the viewpoint of a schistosomiasis control program using the ingredients approach. Costs related to specimen collection, sample processing and analysis, and treatment delivery were considered. Analysis inputs and assumptions were tested using one-way and two-way sensitivity analysis. The total per-person cost of performing the single Kato-Katz, triplicate Kato-Katz, and POC-CCA was US$6.89, US$17.54, and US$7.26, respectively. Major cost drivers included labor, transportation, and supplies. In addition, we provide a costing tool to guide program managers in evaluating detection costs in specific settings, as costs may vary temporally and spatially.

BACKGROUND: Appropriate antibiotic prescribing is an essential strategy to reduce the spread of antibiotic resistance. US prescribing practices have not been thoroughly characterized. We analyzed outpatient antibiotic prescribing data to identify where appropriate antibiotic prescribing interventions could have the most impact. METHODS: Oral antibiotic prescriptions dispensed during 2011 were extracted from the IMS Health Xponent database. The number of prescriptions and census denominators were used to calculate prescribing rates. Prescription totals were calculated for each provider specialty. Regression modeling was used to examine the association between socioeconomic and population health factors and prescribing rates. RESULTS: Healthcare providers prescribed 262.5 million courses of antibiotics in 2011(842 prescriptions per 1000 persons). Penicillins and macrolides were the most common antibiotic categories prescribed. The most commonly prescribed individual antibiotic agent was azithromycin. Family practitioners prescribed the most antibiotic courses (24%). The prescribing rate was higher in the South census region (931 prescriptions per 1000 persons) than in the West (647 prescriptions per 1000 persons; P < .001); this pattern was observed among all age groups, including children ≤2 and persons ≥65 years of age. Counties with a high proportion of obese persons, infants and children ≤2 years of age, prescribers per capita, and females were more likely to be high prescribing by multivariable analysis (adjusted odds ratio, >1.0). CONCLUSIONS: Efforts to characterize antibiotic prescribing practices should focus on the South census region and family practitioners. Further understanding of the factors leading to high prescribing among key target populations will inform appropriate prescribing interventions.

To evaluate the nutritional impact of soil-transmitted helminth (STH) infection, we conducted a cross-sectional survey of 205 pre-school- (PSC) and 487 school-aged children (SAC) randomly selected from the surveillance registry of the Centers for Disease Control and Prevention of the Kibera slum in Kenya. Hemoglobin, iron deficiency (ID), vitamin A deficiency (VAD), inflammation, malaria, anthropometry, and STH ova were measured. Poisson regression models evaluated associations between STH and malnutrition outcomes and controlled for confounders. Approximately 40% of PSC and SAC had STH infection, primarily Ascaris and Trichuris; 2.9% of PSC and 1.1% of SAC had high-intensity infection. Malnutrition prevalence among PSC and SAC was anemia (38.3% and 14.0%, respectively), ID (23.0% and 5.0%, respectively), VAD (16.9% and 4.5%, respectively), and stunting (29.7% and 16.9%, respectively). In multivariate analysis, STH in PSC was associated with VAD (PR = 2.2, 95% confidence interval = 1.1-4.6) and ID (PR = 3.3, 95% confidence interval = 1.6-6.6) but not anemia or stunting. No associations were significant in SAC. Integrated deworming and micronutrient supplementation strategies should be evaluated in this population.