Variation In Antibiotic Prescribing Research Articles

Decreases and Pronounced Geographic Variability in Antibiotic Prescribing in Medicaid.

Antibiotic resistance is a persistent and growing concern. Our objective was to analyze antibiotic prescribing in the United States (US) in the Medical Expenditure Panel System (MEPS) and to Medicaid patients. We obtained MEPS prescriptions for eight antibiotics from 2013 to 2020. We extracted prescribing rates per 1000 Medicaid enrollees for two years, 2018 and 2019, for four broad-spectrum (azithromycin, ciprofloxacin, levofloxacin, and moxifloxacin) and four narrow-spectrum (amoxicillin, cephalexin, doxycycline, and trimethoprim-sulfamethoxazole) antibiotics. Antibiotic prescriptions in MEPS decreased from 2013 to 2020 by 38.7%, with a larger decline for the broad (-53.7%) than narrow (-23.5%) spectrum antibiotics. Antibiotic prescriptions in Medicaid decreased by 6.7%. Amoxicillin was the predominant antibiotic, followed by azithromycin, cephalexin, trimethoprim-sulfamethoxazole, doxycycline, ciprofloxacin, levofloxacin, and moxifloxacin. Substantial geographic variation in prescribing existed, with a 2.8-fold difference between the highest (Kentucky = 855/1000) and lowest (Oregon = 299) states. The South prescribed 52.2% more antibiotics (580/1000) than the West (381/1000). There were significant correlations across states (r = 0.81 for azithromycin and amoxicillin). This study identified sizable disparities by geography in the prescribing rates of eight antibiotics with over three-fold state-level differences. Areas with high prescribing rates, particularly for outpatients, may benefit from stewardship programs to reduce potentially unnecessary prescribing.

Variations in antibiotic prescribing among children enrolled in North Carolina Medicaid, 2013-2019.

The majority of pediatric antibiotic prescribing occurs in the outpatient setting and inappropriate use contributes to antimicrobial resistance. There are regional variations in outpatient antibiotic use with the highest rates occurring in the Southern states, including in Appalachia. The purpose of this study was to describe the rates and risk factors for inappropriate antibiotic prescription among pediatric patients enrolled in North Carolina (NC) Medicaid. We used Medicaid prescription claims data from 2013 to 2019 to describe patterns of pediatric antibiotic prescription in NC. We assessed patient and provider factors to identify variations in prescribing. Children who were less than 2 years of age, non-Hispanic White, and living in a rural area had the highest overall rates of antibiotic prescription. Compared to pediatricians, the risk of inappropriate antibiotic prescription was highest among other specialists and general practioners and lowest among nurse practitioners. Rural areas of NC had the highest rates of inappropriate antibiotic prescribing, and the risk for non-Hispanic Black children compared to children of other races/ethnicities was compounded by rurality. Prescribing practices in NC differ compared to neighboring states with a lower overall risk of inappropriate prescription in Appalachian regions; however, disparities by race and rurality exist. Outpatient stewardship efforts in NC should focus on ensuring health equity by appreciating racial and geographic variations in prescribing patterns and providing education to all health care providers.

Factors contributing to the variation in antibiotic prescribing among primary health care physicians: a systematic review

BackgroundAntibiotic resistance is growing globally. The practice of health professionals when prescribing antibiotics in primary health care settings significantly impacts antibiotic resistance. Antibiotic prescription is a complex process influenced by various internal and external factors. This systematic review aims to summarize the available evidence regarding factors contributing to the variation in antibiotic prescribing among physicians in primary healthcare settings.MethodsThis systematic review was conducted based on PRISMA guidelines. We included qualitative, quantitative and mixed methods studies that examined factors influencing prescription practice and variability among primary healthcare physicians. We excluded editorials, opinions, systematic reviews and studies published in languages other than English. We searched studies from electronic databases: PubMed, ProQuest Health and Medicine, Web Science, and Scopus. The quality of the included studies was appraised using the Mixed Methods Appraisal Tool (Version 2018). Narrative synthesis was employed to synthesize the result and incorporate quantitative studies.ResultsOf the 1816 identified studies, 49 studies spanning 2000–2023 were eligible for review. The factors influencing antibiotic prescription practice and variability were grouped into physician-related, patient-related, and healthcare system-related factors. Clinical guidelines, previous patient experience, physician experience, colleagues’ prescribing practice, pharmaceutical pressure, time pressure, and financial considerations were found to be influencing factors of antibiotic prescribing practice. In addition, individual practice patterns, practice volume, and relationship with patients were also other factors for the variability of antibiotic prescription, especially for intra-physician prescription variability.ConclusionAntibiotic prescription practice in primary health care is a complex practice, influenced by a combination of different factors and this may account for the variation. To address the factors that influence the variability of antibiotic prescription (intra- and inter-physician), interventions should aim to reduce diagnostic uncertainty and provide continuous medical education and training to promote patient-centred care.

Characteristics of patients associated with any outpatient antibiotic prescribing among Medicare Part D enrollees, 2007-2018.

The 2007-2018 National Health Interview Survey data linked with Medicare claims were used to examine older adults' characteristics and assess their associations with receiving an antibiotic prescription. This analysis shows variation in antibiotic prescribing among adults enrolled in Medicare Part D by race and ethnicity, sex, geography, and health status.

1769. Characterizing Antibiotic Prescribing for Nursing Home Residents with SARS-CoV-2 Infection, April 2020-November 2021

Abstract Background Increased prescribing of antibiotics commonly used for respiratory infections, including azithromycin, ceftriaxone, and doxycycline was observed in nursing homes (NH) during the COVID-19 pandemic however antibiotic prescribing was not linked to resident diagnosis. Therefore, our objective was to characterize antibiotic prescribing in residents with SARS-CoV-2 infection in a large cohort of US NHs. Methods We conducted a retrospective cohort study using PointClickCare (PCC) data containing longitudinal NH electronic health records. We included 4,891 NHs that reported ≥1 medication order/month from April 2020-November 2021. We identified the first onset of SARS-CoV-2 infection using ICD-10-CM diagnosis code U07.1. To validate the number of SARS-CoV-2 infections per facility captured in PCC, we compared the total number of SARS-CoV-2 infections documented in PCC to those reported to the National Healthcare Safety Network (NHSN). Antibiotic orders were determined to be associated with a SARS-CoV-2 infection if 3 days before or ≤7 days after diagnosis. We characterized the proportion of residents with a SARS-CoV-2 infection with an associated antibiotic by month. Results We included 2,086 (43%) NHs that had ≤20% difference in total number of SARS-CoV-2 infections documented in PCC and reported to NHSN. From April 2020-November 2021, a total of 118,180 residents with a SARS-CoV-2 infection were identified and 24% had an associated antibiotic prescription (N=27,972). The highest prescription rate (30%, 95% Confidence Interval [29%-31%]) was observed in April 2020 and varied by less than 8% from May 2020-November 2021 (Fig.1). The most commonly prescribed antibiotics were azithromycin (53%), doxycycline (13%) and ceftriaxone (10%). Conclusion An antibiotic prescription was linked to up to a quarter of NH residents with SARS-CoV-2 infection, highlighting potential opportunities for avoiding unnecessary antibiotic prescribing for viral infections in NHs. Appropriate antibiotic prescribing in NH populations is important to reduce potential harm when antibiotics offer no treatment benefit to the resident. Identifying facility-level characteristics that lead to variability in antibiotic prescribing is a next step to inform antibiotic stewardship interventions. Disclosures All Authors: No reported disclosures.

Quantifying the breadth of antibiotic exposure in sepsis and suspected infection using spectrum scores.

A retrospective cohort study. Studies to quantify the breadth of antibiotic exposure across populations remain limited. Therefore, we applied a validated method to describe the breadth of antimicrobial coverage in a multicenter cohort of patients with suspected infection and sepsis. We conducted a retrospective cohort study across 21 hospitals within an integrated healthcare delivery system of patients admitted to the hospital through the ED with suspected infection or sepsis and receiving antibiotics during hospitalization from January 1, 2012, to December 31, 2017. We quantified the breadth of antimicrobial coverage using the Spectrum Score, a numerical score from 0 to 64, in patients with suspected infection and sepsis using electronic health record data. Of 364,506 hospital admissions through the emergency department, we identified 159,004 (43.6%) with suspected infection and 205,502 (56.4%) with sepsis. Inpatient mortality was higher among those with sepsis compared to those with suspected infection (8.4% vs 1.2%; P < .001). Patients with sepsis had higher median global Spectrum Scores (43.8 [interquartile range IQR 32.0–49.5] vs 43.5 [IQR 26.8–47.2]; P < .001) and additive Spectrum Scores (114.0 [IQR 57.0–204.5] vs 87.5 [IQR 45.0–144.8]; P < .001) compared to those with suspected infection. Increased Spectrum Scores were associated with inpatient mortality, even after covariate adjustments (adjusted odds ratio per 10-point increase in Spectrum Score 1.31; 95%CI 1.29–1.33). Spectrum Scores quantify the variability in antibiotic breadth among individual patients, between suspected infection and sepsis populations, over the course of hospitalization, and across infection sources. They may play a key role in quantifying the variation in antibiotic prescribing in patients with suspected infection and sepsis.

Assessing the impact of Geo-demographic factors on antibiotic prescribing for adults with acute, uncomplicated bronchitis.

Acute bronchitis is a common reason patients seek primary care and has predominately viral causes. Yet, antibiotics are often prescribed despite limited evidence of clinical benefit. Interventions targeting antibiotic prescribing for acute bronchitis have reduced prescribing, but rates continued to remain higher than expected. There is also a paucity of data describing variability in antibiotic prescribing and its determinants; specifically, non-clinical, patient-level factors. Identifying non-clinical determinants of antibiotic prescribing for bronchitis could inform better care for these patients in primary care. To assess the impact of geo-demographic factors on antibiotic prescribing for ambulatory adults with acute, uncomplicated bronchitis. Cohort study. Ambulatory clinics, urgent cares and emergency departments within a large, single U.S. health-system. Adult patients with a primary diagnosis of bronchitis in 2019. Predictors of antibiotic prescribing. There were 63,051 unique patients (mean age 48±18 years); 62.7% were female and 78.7% were non-Hispanic Caucasians. Of providers, 66.7% were physicians. Patients who were older (aOR 1.02, 95% CI 1.02-1.02), male (1.06, 1.03-1.10), black (1.21, 1.14-1.29), smoked (1.16, 1.12-1.20), had a nurse practitioner v. physician provider (1.11, 1.06-1.16) or a physician assistant v. physician provider (1.06, 1.01-1.11) were more likely to receive antibiotics. Patients who were Hispanic (0.87, 0.82-0.94), or Asian (0.85, 0.75-0.96) were less likely to receive antibiotics. Additionally, patients who had Medicare (0.78, 0.74-0.82), Medicaid (0.73, 0.69-0.77) or Exchange insurance (0.90, 0.82-0.98) or lived in a U.S. Census Block group with larger number of households without vehicles (0.66, 0.52-0.85) were less likely to receive antibiotics. Those living in an area with more owner-occupied housing were more likely to receive antibiotics (1.39, 1.25-1.53). The distance between a patient's residence and the encounter location did not impact the likelihood of antibiotic prescribing. This study identified antibiotic prescribing disparities for adults with acute bronchitis at the level of the patient, prescriber and the patient residential area. Interventions targeting antibiotic prescribing in this population should consider the role these factors have in prescribing decisions.

Examining the association between socio-demographic factors, catheter use and antibiotic prescribing in Northern Ireland primary care: a cross-sectional multilevel analysis.

Abstract Inappropriate use of antibiotics is among the key drivers of antimicrobial resistance (AMR). Antibiotic use in Northern Ireland (NI) is the highest in the UK and approximately 80% is prescribed in primary care. Little information however exists about the patient and prescriber factors driving this. We described the trend in NI primary care total antibiotic prescribing 2010–2019 and conducted a cross-sectional study using a random sample of individuals registered with an NI GP on 1st January 2019. We used multilevel logistic regression to examine how sociodemographic factors and urinary catheter use was associated with the likelihood of being prescribed an antibiotic during 2019, adjusting for clustering at GP practice and GP federation levels. Finite mixture modelling (FMM) was conducted to determine the association between the aforementioned risk factors and quantity of antibiotic prescribed (defined daily doses). The association between age and antibiotic prescription differed by gender. Compared to males 41–50 years, adjusted odds of prescription were higher for males aged 0–10, 11–20 and 51 + years, and females of any age. Catheter use was strongly associated with antibiotic prescription (aOR = 6.82, 95% CI 2.50–18.64). Socioeconomic deprivation and urban/rural settlement were not associated in the multilevel logistic analysis. GP practices and federations accounted for 1.24% and 0.12% of the variation in antibiotic prescribing respectively. FMM showed associations between larger quantities of antibiotics and being older, male and having a catheter. This work described the profile of individuals most likely to receive an antibiotic prescription in NI primary care and identified GP practice as a source of variation; suggesting an opportunity for reduction from effective interventions targeted at both individuals and general practices.

Antibiotic prescribing patterns for acute respiratory infections in a free clinic network: A pooled cross-sectional study.

In the United States, overprescribing of antibiotics for viral respiratory infections and antimicrobial resistance continue to be public health concerns. To date, no literature has focused on antibiotic prescribing patterns from free clinics. To address this gap, we used patient-level data from a student-run free clinic network of four primary care clinics to assess factors associated with inappropriate antibiotic prescribing for viral respiratory infections. Treatment plans were deemed inappropriate if any type of antibiotic was prescribed. We used unpaired t-tests and chi-square tests to assess for differences in receiving an inappropriate antibiotic prescription by patient-level factors (i.e., age, race/ethnicity, sex, educational attainment, preferred language, insurance status). Of 298 visits, 22.5% did not meet treatment guidelines. No patient-level factors studied were associated with inappropriate antibiotic prescribing. Our findings suggest other factors, beyond patient-level, may be drivers of variation in antibiotic prescribing in free clinics.

Exploring the Association Between Antibiotic Prescribing Patterns and Clinical Variations in a Network of Pediatricians.

Introduction: Variation in practice patterns among physicians is well-documented despite professional guidelines and increasingly uniform medical training. Variations may lead to improper utilization of healthcare resources, misdiagnosis, overdiagnosis, unnecessary treatments, and forgoing of needed interventions. One area of clinical variation and overuse of particular interest is the prescribing of antibiotics, which can lead to eventual antibiotic resistance and other negative consequences. Variations in antibiotic prescribing along with other practice patterns have been studied previously but no attempt has been made to examine the correlation between multiple practice patterns. The purpose of this study was to determine if a correlation existed between the provider behaviors studied.Methods: A small area network of 39 pediatric providers was analyzed to determine if antibiotic prescription percentages varied. Antibiotic prescription percentages were further broken down by visit type (sick versus well). Two other practice measures, in-office lab utilization and diagnoses of food and drug allergies, were then analyzed. Data were explored primarily with Spearman’s correlation tests.Results: Strong positive correlation was seen between a provider's antibiotic prescription percentage at sick and well visits. Strong positive correlation was seen between the antibiotic prescribing percentage and the number of in-office labs ordered. Moderate positive correlation was seen between antibiotic prescribing percentage and the percentage of a provider’s empaneled patients with any allergy diagnosis (medication, food, or seasonal).Conclusion: This retrospective study demonstrates that variation in provider practice patterns continues to exist despite established practice guidelines from national organizations. It also demonstrates a linear correlation between multiple provider behaviors that have not previously been explored together. The presence of a correlation between clinical behaviors may suggest an underlying practice philosophy and present an opportunity for personalized, provider-specific education and quality improvement.

Trends in Prescribing of Antibiotics and Drugs Investigated for Coronavirus Disease 2019 (COVID-19) Treatment in US Nursing Home Residents During the COVID-19 Pandemic.

BackgroundTrends in prescribing for nursing home (NH) residents, which may have been influenced by the COVID-19 pandemic, have not been characterized.MethodsLong-term care pharmacy data from 1,944 U.S. NHs were used to evaluate trends in prescribing of antibiotics and drugs that were investigated for COVID-19 treatment, including hydroxychloroquine, famotidine, and dexamethasone. To account for seasonal variability in antibiotic prescribing and decreased NH occupancy during the pandemic, monthly prevalence of residents with a prescription dispensed per 1,000 residents serviced was calculated from January – October and compared as relative percent change from 2019 to 2020.ResultsIn April 2020, prescribing was significantly higher in NHs for drugs investigated for COVID-19 treatment than 2019; including hydroxychloroquine (+563%, 95% confidence interval (CI) 5.87, 7.48) and azithromycin (+150%, 95% CI 2.37, 2.63). Ceftriaxone prescribing also increased (+43%, 95% CI 1.34, 1.54). Prescribing of dexamethasone was 36% lower in April (95% CI 0.55, 0.73) and 303% higher in July (95% CI 3.66, 4.45). Although azithromycin and ceftriaxone prescribing increased, total antibiotic prescribing among residents was lower from May (-5%, 95% CI 0.94, 0.97) through October (-4%, 95% CI 0.94, 0.97) in 2020 compared to 2019.ConclusionsDuring the pandemic, large numbers of residents were prescribed drugs investigated for COVID-19 treatment, and an increase in prescribing of antibiotics commonly used for respiratory infections was observed. Prescribing of these drugs may increase the risk of adverse events, without providing clear benefits. Surveillance of NH prescribing practices is critical to evaluate concordance with guideline-recommended therapy and improve resident safety.

Inter-prescriber variability in the decision to prescribe antibiotics to febrile patients attending primary care in Myanmar.

BackgroundMost antibiotic prescribing occurs in primary care. Even within the same health facility, there may be differences between prescribers in their tendency to prescribe antibiotics, which may be masked by summary data. We aimed to quantify prescriber variability in antibiotic prescription to patients with acute fever in primary care clinics in Myanmar.MethodsWe conducted a secondary analysis of prescribing data from 1090 patient consultations with 40 prescribing doctors from a trial investigating the effect of point-of-care C-reactive protein (CRP) tests on antibiotic prescription for acute fever. We used multilevel logistic regression models to assess inter-prescriber variability in the decision to prescribe antibiotics.ResultsThe median odds ratio (MOR) in the unadjusted model was 1.82 (95% CI: 1.47–2.56) indicating that when two prescribers from this population are randomly selected then in half of these pairs the odds of prescription will be greater than 1.82-fold higher in one prescriber than the other. The estimated variability from this sample of prescribers corresponds to a population of prescribers where the top 25% of prescribers will prescribe antibiotics to over 41% of patients while the bottom 25% will prescribe antibiotics to less than 23% of patients. Inter-prescriber variation in antibiotic prescribing remained after adjustment for patient characteristics and CRP information (P < 0.001).ConclusionsDespite sharing the same management guidelines, there was substantial inter-prescriber variation in antibiotic prescription to patients with acute fever. This variation should be considered when designing trials and stewardship programmes aiming to reduce inappropriate antibiotic prescribing.

Variations in antibiotic prescribing among village doctors in a rural region of Shandong province, China: a cross-sectional analysis of prescriptions

ObjectivesTo assess variation in antibiotic prescribing practices among village doctors in a rural region of Shandong province, China.Design, setting and participantsAlmost all outpatient encounters at village clinics result in a prescription being issued. Prescriptions were collected over a 2.5-year period from 8 primary care village clinics staffed by 24 doctors located around a town in rural Shandong province. A target of 60 prescriptions per clinic per month was sampled from an average total of around 300. Prescriptions were analysed at both aggregate and individual-prescriber levels, with a focus on diagnoses of likely viral acute upper respiratory tract infections (AURIs), defined as International Classification of Diseases, 10th Revision codes J00 and J06.9.Main outcome measuresProportions of prescriptions for AURIs containing (1) at least one antibiotic, (2) multiple antibiotics, (3) at least one parenteral antibiotic; classes and agents of antibiotics prescribed.ResultsIn total, 14 471 prescriptions from 23 prescribers were ultimately included, of which 5833 (40.3%) contained at least 1 antibiotic. Nearly two-thirds 62.5% (3237/5177) of likely viral AURI prescriptions contained an antibiotic, accounting for 55.5% (3237/5833) of all antibiotic-containing prescriptions. For AURIs, there was wide variation at the individual level in antibiotic prescribing rates (33.1%–88.0%), as well multiple antibiotic prescribing rates (1.3%–60.2%) and parenteral antibiotic prescribing rates (3.2%–62.1%). Each village doctor prescribed between 11 and 21 unique agents for AURIs, including many broad-spectrum antibiotics. Doctors in the highest quartile for antibiotic prescribing rates for AURI also had higher antibiotic prescribing rates than doctors in the lowest quartile for potentially bacterial upper respiratory tract infections (pharyngitis, tonsillitis, laryngopharyngitis; 89.1% vs 72.4%, p=0.002).ConclusionsAll village doctors overused antibiotics for respiratory tract infections. Variations in individual prescriber practices are significant even in a small homogenous setting and should be accounted for when developing targets and interventions to improve antibiotic use.

Antibiotic-prescribing and antibiotic-resistance patterns among elderly citizens residing in two Nordic regions

Objective: The objective of this study was to compare antibiotic-prescribing rates in 2016 and antibiotic-resistance rates in 2017 among citizens aged ≥85 years between the Capital Region in Denmark and the Skåne Region in Sweden, with regards to overall antibiotic use and antibiotics of choice for urinary tract infections (UTIs) and skin and soft tissue infections (SSTIs). Methods: Inhabitants ≥85 year old on the date of prescription during 2016 and residing in the Capital Region or the Skåne Region were included for antibiotic-prescription analyses. Samples from 2017 from residents of the same regions who were ≥85 years old were included for antibiotic-resistance analyses. Antimicrobial use was determined according to the drugs of choice for UTIs and SSTIs in Denmark and Sweden. Students t-tests were used to compare antibiotic prescribing while a Chi-Squared test was performed to compare antibiotic resistance. Results: There was a significantly higher overall prescription rate among citizens ≥85 years in the Capital Region than in the Skåne Region. The same pattern was evident for the antibiotics of choice for UTIs and SSTIs except for clindamycin. Antibiotic resistance against all antibiotics included was more prominent in the Capital Region than in the Skåne Region. Conclusion: Considerable variation in antibiotic prescribing and resistance exists among elderly citizens between these two adjacent Nordic regions. Information and reflection on current practices and resistance patterns may direct attention towards antimicrobial stewardship as a higher priority and may help inform and motivate prescribing behaviours.

Infectious Diseases Clinician's Variation in the Management of Pediatric Staphylococcus aureus Bacteraemia and Equipoise for Clinical Trials.

Background: Pediatric Staphylococcus aureus bacteraemia is one of the leading causes of community-acquired blood-stream infection in the developed world; however, our understanding of management practices by treating clinicians is limited.Methods: The authors designed a web-based clinician survey with support from the Australian and New Zealand Pediatric Infectious Diseases group, of the Australasian Society of Infectious Diseases. Clinicians were presented with three pediatric cases of varying severity. Antibiotic choice, durations of intravenous and oral therapy and research priorities for pediatric S. aureus bacteraemia trials were gauged.Results and Conclusion: Large variation in antibiotic prescribing amongst clinicians is demonstrated and increased, corresponding with escalating case complexity and persisting MRSA bacteraemia. Most clinicians chose defining optimal duration of therapy for S. aureus bacteraemia as their top clinical trial priority. These findings highlight the importance of prioritizing pediatric S. aureus bacteraemia clinical trials, to inform guidelines and best practice management.

Antibiotic prescribing for common infections in UK general practice: variability and drivers.

ObjectivesTo examine variations across general practices and factors associated with antibiotic prescribing for common infections in UK primary care to identify potential targets for improvement and optimization of prescribing.MethodsOral antibiotic prescribing for common infections was analysed using anonymized UK primary care electronic health records between 2000 and 2015 using the Clinical Practice Research Datalink (CPRD). The rate of prescribing for each condition was observed over time and mean change points were compared with national guideline updates. Any correlation between the rate of prescribing for each infectious condition was estimated within a practice. Predictors of prescribing were estimated using logistic regression in a matched patient cohort (1:1 by age, sex and calendar time). ResultsOver 8 million patient records were examined in 587 UK general practices. Practices varied considerably in their propensity to prescribe antibiotics and this variance increased over time. Change points in prescribing did not reflect updates to national guidelines. Prescribing levels within practices were not consistent for different infectious conditions. A history of antibiotic use significantly increased the risk of receiving a subsequent antibiotic (by 22%–48% for patients with three or more antibiotic prescriptions in the past 12 months), as did higher BMI, history of smoking and flu vaccinations. Other drivers for receiving an antibiotic varied considerably for each condition.ConclusionsLarge variability in antibiotic prescribing between practices and within practices was observed. Prescribing guidelines alone do not positively influence a change in prescribing, suggesting more targeted interventions are required to optimize antibiotic prescribing in the UK.

Predictors and variability of antibiotic prescribing amongst family physicians

Rising rates of antimicrobial resistance are driven by overuse of antibiotics. Characterizing physician antibiotic prescribing variability can inform interventions to optimize antibiotic use. To describe predictors of overall antibiotic prescribing as well as the inter-physician variability in antibiotic prescribing amongst family physicians. We conducted a 5 year cohort study of antibiotic prescribing rates by family physicians in Ontario, Canada using a repository of electronic medical records. Using multilevel logistic regression models fitted with random intercepts for physicians, we evaluated the association of patient-, physician- and clinic-level characteristics with antibiotic prescribing rates. We included 3956921 physician-patient encounters, 322129 unique patients and 313 physicians from 41 family medicine clinics. Physicians prescribed a median of 54 (interdecile range 28-95) antibiotics per 1000 encounters. Female children aged 3-5 years were most likely to receive antibiotics compared with men ≥65 years (OR 4.01, 95% CI 3.89-4.13). The only significant physician-level predictor was median daily patient visits of ≥20 compared with <10 (OR 1.28, 95% CI 1.06-1.55). The median ORs without and with patient characteristics were 1.68 and 1.69, respectively. Thus, the odds of receiving an antibiotic varied by 1.7-fold for the same patient simply by virtue of encountering two different physicians. We observed substantial inter-physician variability in antibiotic prescribing that could not be explained by sociodemographic and clinical patient differences, suggesting that risk adjustment of antibiotic prescribing practices may not be required for audit and feedback of family physicians working in similar practice settings.

Outpatient Antibiotic Prescribing in Massachusetts, 2011-2015.

BackgroundThe objectives of this study were to develop methods to measure population-based outpatient antibiotic prescribing in Massachusetts and to describe the findings as a first step toward institution of ongoing surveillance.MethodsWe analyzed outpatient prescription claims from the Massachusetts All-Payers Claims Database from 2011 to 2015. We grouped claims for antibiotics according to the World Health Organization’s Anatomical Therapeutic Chemical Classification System using the National Library of Medicine’s RXNorm database. We grouped prescribers into 17 specialties. Antibiotic use rates were calculated, and simple frequencies were used to describe patterns.ResultsThe overall annual rate of outpatient antibiotic use for individuals aged 0–64 years was 696 prescriptions per 1000 people. During 2015, 68% of people in Massachusetts had no antibiotic prescription, and 17% had only 1 prescription. There was dramatic variability in antibiotic use rates by census tract within the state (rates of penicillin use ranged from 31 to 265 prescriptions per 1000 people, macrolides from 28 to 333, cephalosporins from 8 to 89, quinolones from 13 to 118). Antibiotic use rates were generally lower in urban census tracts. From 2011 to 2015, there was a 17% decline in antibiotic prescribing, with the greatest decline for macrolides (28%).ConclusionsThere was variability in antibiotic prescribing within Massachusetts by age, sex, and antibiotic class. Variation in antibiotic use across census tracts within the state was similar to the variation in use across US states. Continued measurement and detailed local population rates of antibiotic use in Massachusetts will provide feedback for local prescribers.

2568. Variability in Pediatric Antibiotic Prescribing for Upper Respiratory Illnesses by Provider Specialty

BackgroundAntibiotic prescribing varies among providers, contributing to antibiotic resistance and adverse drug reactions. Objective. To evaluate variation in antibiotic prescribing between pediatric and nonpediatric providers for common upper respiratory illnesses.MethodsPatient encounters for children aged <18 years from a regional healthcare system were identified. Electronic medical records from 2011 to 2016 were extracted for diagnoses of upper respiratory infection (URI), pharyngitis, acute otitis media (AOM), and sinusitis. Encounters with competing medical diagnoses, recent hospitalization, and antibiotic prescriptions within 30 days were excluded. Adherence to antibiotic guidelines was assessed by provider training (pediatric, nonpediatric physicians, and advance practice providers [APP]). Additional factors assessed included clinic or urgent care setting, calendar year, and patient’s age, gender, insurance status, and number of sick visits in the prior year.ResultsAcross 6 years, 141,361 visits were examined: 43,914 for URI, 43,701 for pharyngitis, 43,925 for AOM, and 9,821 for sinusitis. Pediatricians were more likely than APPs and nonpediatric providers to have guideline-concordant prescribing for pharyngitis (pediatricians 66.7 (54.5, 77.0)%, nonpediatricians 49.1 (36.3, 62.0)%, APPs 52.2(39.4, 64.7)%, P < 0.0001) and sinusitis (pediatricians 70.8(53.8, 83.4)%, nonpediatricians 63.3(46.8, 77.2)%, APPs 62.1(45.1, 76.5)%, P = 0.48) and to withhold antibiotics for URI than APPs and nonpediatric providers (pediatricians 86.6(81.2, 90.6)%, nonpediatricians 80.8(73.0, 86.8)%, APPs 76.8(68.4, 83.5)%, P < 0.0001). Pediatricians were less likely to prescribe antibiotics for pharyngitis without a positive Group A Streptococcus test than APPs and nonpediatric providers (pediatricians 15.1(10.4, 21.6)%, nonpediatricians 29.4(20.8, 39.6)%, APPs 27.2(19.3, 36.9)%, P < 0.0001). First-line antibiotic prescribing for pharyngitis and AOM did not differ between provider specialties. A trend toward more guideline-concordant prescribing was seen for pharyngitis and sinusitis over the study period.ConclusionPediatricians were more likely to adhere to guidelines for pediatric acute respiratory infections. Pediatric antibiotic stewardship efforts should also target non-pediatricians.Disclosures All authors: No reported disclosures.

Variability in Antibiotic Prescribing for Upper Respiratory Illnesses by Provider Specialty

To evaluate variation in antibiotic prescribing between pediatric and nonpediatric providers for common upper respiratory illnesses. Patient encounters for children aged <18 years from a regional health care system were identified. Electronic medical records from 2011 to 2016 were extracted for diagnoses of upper respiratory infection, pharyngitis, acute otitis media, and sinusitis. Encounters with competing medical diagnoses, recent hospitalization, and antibiotic prescriptions within 30 days were excluded. Adherence to antibiotic guidelines was assessed by provider training (pediatric, nonpediatric physicians, and advance practice providers). Additional factors assessed were calendar year, and patient's age, sex, insurance status, and number of sick visits in the prior year. Across 6 years, 141 361 visits were examined: 43 914 for upper respiratory infection, 43 701 for pharyngitis, 43 925 for acute otitis media, and 9821 for sinusitis. Pediatricians were more likely than Advanced practice providers (APP) and nonpediatric providers to have guideline-concordant prescribing for pharyngitis (pediatricians, 66.7% [95% CI, 54.5-77.0]; nonpediatricians, 49.1% [95% CI, 36.3-62.0], APPs, 52.2% [95% CI, 39.4-64.7]; P < .0001) and sinusitis (pediatricians, 70.8% [95% CI, 53.8-83.4], nonpediatricians, 63.3% [95% CI, 46.8-77.2], APPs, 62.1% [95% CI, 45.1-76.5]; P = .48) and to withhold antibiotics for upper respiratory infection than APPs and nonpediatric providers (pediatricians, 86.6% [95% CI, 81.2-90.6], nonpediatricians, 80.8% [95% CI, 73.0-86.8], APPs, 76.8% [95% CI, 68.4-83.5]; P < .0001). Pediatricians were less likely to prescribe antibiotics for pharyngitis without a positive test for group A Streptococcus than APPs and nonpediatric providers (pediatricians, 15.1% [95% CI, 10.4-21.6], nonpediatricians, 29.4% [95% CI, 20.8-39.6], APPs, 27.2% [95% CI, 19.3-36.9]; P < .0001). First-line antibiotic prescribing for acute otitis media did not differ between provider specialties. A trend toward more guideline-concordant prescribing was seen for pharyngitis and sinusitis over the study period. Pediatricians were more likely to adhere to guidelines for management of pediatric acute respiratory infections. Pediatric antibiotic stewardship efforts should also target nonpediatricians.