Variation In Antibiotic Prescribing Research Articles

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.

Provider Variation in Antibiotic Prescribing and Outcomes of Respiratory Tract Infections.

Inappropriate antibiotic use for respiratory tract infection (RTI) is an ongoing problem linked to the emergence of drug resistance and other adverse effects. Less is known about the prescribing practices of individual physicians or the impact of physician prescribing habits on patient outcomes. We studied the prescribing practices of providers for acute RTIs in an integrated health system, identified patient factors associated with receipt of an antibiotic and assessed the relation between providers' adjusted prescribing rates and a number of patient outcomes. This was a retrospective analysis of adults with an RTI visit to any primary care providers across the Cleveland Clinic Health System in 2011-2012. Patients with a history of chronic obstructive pulmonary disease or immunocompromised status were excluded. Logistic regression was used to examine patient factors associated with receipt of an antibiotic. Of 31,416 patients with an RTI, 54.8% received an antibiotic. Patient factors associated with antibiotic prescribing included white race (odds ratio [OR] 1.35, P < 0.001), presence of fever (OR 1.66, P < 0.001), and a diagnosis of bronchitis (OR 10.98, P < 0.001) or sinusitis (OR 33.85, P < 0.001). Among 290 providers with ≥10 RTI visits, adjusted antibiotic prescribing rates ranged from 0% to 100% (mean 49%). Antibiotics were prescribed more often for sinusitis (OR 33.85, P < 0.001), bronchitis (OR 10.98, P < 0.001), or pharyngitis (OR 1.76, P < 0.001) compared with upper respiratory tract infection. Patients who were prescribed antibiotics at the index visit were more likely to return for RTI within 1 year (adjusted OR 1.26, P < 0.001). Emergency department visits for respiratory complications were rare and not associated with antibiotic receipt. Antibiotic prescribing for RTI varies widely among physicians and cannot be explained by patient factors. Patients prescribed antibiotics for RTI were more likely to return for RTI.

Explaining variation in antibiotic prescribing between general practices in the UK.

Primary care practices in England differ in antibiotic prescribing rates, and, anecdotally, prescribers justify high prescribing rates based on their individual case mix. The aim of this paper was to explore to what extent factors such as patient comorbidities explain this variation in antibiotic prescribing. Primary care consultation and prescribing data recorded in The Health Improvement Network (THIN) database in 2013 were used. Boosted regression trees (BRTs) and negative binomial regression (NBR) models were used to evaluate associations between predictors and antibiotic prescribing rates. The following variables were considered as potential predictors: various infection-related consultation rates, proportions of patients with comorbidities, proportion of patients with inhaled/systemic corticosteroids or immunosuppressive drugs, and demographic traits. The median antibiotic prescribing rate was 65.6 (IQR 57.4-74.0) per 100 registered patients among 348 English practices. In the BRT model, consultation rates had the largest total relative influence on antibiotic prescribing rate (53.5%), followed by steroid and immunosuppressive drugs (31.6%) and comorbidities (12.2%). Only 21% of the deviance could be explained by an NBR model considering only comorbidities and age and gender, whereas 57% of the deviance could be explained by the model considering all variables. The majority of practice-level variation in antibiotic prescribing cannot be explained by variation in prevalence of comorbidities. Factors such as high consultation rates for respiratory tract infections and high prescribing rates for corticosteroids could explain much of the variation, and as such may be considered in determining a practice's potential to reduce prescribing.

Prevalence of antibiotic prescription in pediatric outpatients in Italy: the role of local health districts and primary care physicians in determining variation. A multilevel design for healthcare decision support

BackgroundAccording to scientific literature, antibacterials are prescribed for common pediatric conditions that do not benefit from antibiotic therapy. The link between antibiotic use and bacterial resistance is well known. Antibiotic overprescribing generates high social costs and severe consequences for children. Our objectives were to analyze antibiotic prescription patterns in pediatric outpatients residing in the Lazio region (Italy), to identify physicians’ characteristics associated with increased propensity for prescription, to identify the priority axes for action to improve the rational use of antibiotics.MethodsWe enrolled all children aged 13 years or less in 2014. Antibiotic prescription patterns were analyzed during a one-year follow-up period. The main outcome measures were the antibiotic prescription prevalence, and the geographic variation in antibiotic prescribing. Multilevel models were performed to analyze variation. Variation was expressed as Median Odds Ratios (MORs). If the MOR is 1.00, there is no variation between clusters. If there is considerable between-cluster variation, the MOR will be large.ResultsWe enrolled 636,911 children. Most of them were aged 6–13 years (57.3%). In 2015, the antibiotic prescription prevalence was 46% in the 0–13, 58% in the 0–5, and 37% in the 6–13 age group. Overall, penicillins were the most prescribed antibiotics, their consumption increased from 43% to 52% during the 2007–2015 period. In 2015, the antibiotic prescription prevalence ranged from 30% to 62% across local health districts (LHDs) of the region. Moreover, a significant (p < 0.001) variation was observed between physicians working in the same LHD: MORs were equal to 1.52 (1.48–1.56) and 1.46 (1.44–1.48) in the 0–5 and 6–13 age groups, respectively. The probability of prescribing antibiotics was significantly (p < 0.001) lower for more-experienced physicians.ConclusionsPediatric antibiotic use in the Lazio region is much higher than in other European countries. The intra-regional drug prescribing variability underlines the lack of therapeutic protocols shared at regional level and raises equity issues in access to optimal care. Both LHD managers and individual physicians should be involved in training interventions to improve the targeted use of antibiotics and mitigate the effect of contextual variables, such as the spatial-related socioeconomic status of the patient/parent binomial.

Capsule Commentary on Klein et al., Categorical Risk Perception Drives Variability in Antibiotic Prescribing in the Emergency Department: a Mixed Methods Observational Study.

Capsule Commentary on Klein et al., Categorical Risk Perception Drives Variability in Antibiotic Prescribing in the Emergency Department: a Mixed Methods Observational Study.

Empathy, burnout, and antibiotic prescribing for acute respiratory infections: a cross-sectional primary care study in the US.

The impact of physician-patient relationship factors, such as physician empathy and burnout, on antibiotic prescribing has not been characterised. To assess associations between physician empathy and burnout and antibiotic prescribing for acute respiratory infections (ARIs) in primary care. Cross-sectional study of primary care practices in the Cleveland Clinic Health System in the US. Patient and prescribing data were obtained from the medical record. All patients with primary diagnoses of ARIs from 1 January 2012 to 31 December 2013, except those with chronic obstructive pulmonary disease (COPD) or who were immunocompromised, were included. Physician empathy was measured using the Jefferson Scale of Empathy while physician burnout was measured using the Maslach Burnout Inventory. The relationship between empathy and burnout and antibiotic prescribing, adjusted for patient and provider characteristics, was analysed using multiple linear regression. In 5937 ARI visits to 102 primary care physicians, the median proportion resulting in antibiotic prescribing was 48.6% (interquartile range [IQR] 24.1% to 70.0%). Neither physician empathy (correlation coefficient [β] 0.005, 95% confidence interval [CI] = -0.001 to 0.010, P = 0.07) nor any burnout measures were significantly associated with antibiotic prescribing: emotional exhaustion (β 0.001, 95% CI = -0.005 to 0.006, P = 0.79), tendency to depersonalise patients (β -0.009, 95% CI = -0.021 to 0.003, P = 0.13), and sense of personal accomplishment (β -0.004, 95% CI = -0.014 to 0.006, P = 0.44). The authors found no significant association between empathy or burnout measures and antibiotic prescribing for ARIs in primary care. Other physician characteristics should be investigated to explain individual variation in antibiotic prescribing.

Influences on the start, selection and duration of treatment with antibiotics in long-term care facilities.

Understanding the extent to which current antibiotic prescribing behaviour is influenced by clinicians' historical patterns of practice will help target interventions to optimize antibiotic use in long-term care. Our objective was to evaluate whether clinicians' historical prescribing behaviours influence the start, prolongation and class selection for treatment with antibiotics in residents of long-term care facilities. We conducted a retrospective cohort study of all physicians who prescribed to residents in long-term care facilities in Ontario between Jan. 1 and Dec. 31, 2014. We examined variability in antibiotic prescribing among physicians for 3 measures: start of treatment with antibiotics, use of prolonged durations exceeding 7 days and selection of fluoroquinolones. Funnel plots with control limits were used to determine the extent of variation and characterize physicians as extreme low, low, average, high and extreme high prescribers for each tendency. Multivariable logistic regression was used to assess whether a clinician's prescribing tendency in the previous year predicted current prescribing patterns, after accounting for residents' demographics, comorbidity, functional status and indwelling devices. Among 1695 long-term care physicians, who prescribed for 93 132 residents, there was wide variability in the start of antibiotic treatment (median 45% of patients, interquartile range [IQR] 32%-55%), use of prolonged treatment durations (median 30% of antibiotic prescriptions, IQR 19%-46%) and selection of fluoroquinolones (median 27% of antibiotic prescriptions, IQR 18%-37%). Prescribing tendencies for antibiotics by physicians in 2014 correlated strongly with tendencies in the previous year. After controlling for individual resident characteristics, prior prescribing tendency was a significant predictor of current practice. Physicians prescribing antibiotics exhibited individual, measurable and historical tendencies toward start of antibiotic treatment, use of prolonged treatment duration and class selection. Prescriber audit and feedback may be a promising tool to optimize antibiotic use in long-term care facilities.

Categorical Risk Perception Drives Variability in Antibiotic Prescribing in the Emergency Department: A Mixed Methods Observational Study.

Adherence to evidence-based antibiotic therapy guidelines for treatment of upper respiratory tract infections (URIs) varies widely among clinicians. Understanding this variability is key for reducing inappropriate prescribing. To measure how emergency department (ED) clinicians' perceptions of antibiotic prescribing risks affect their decision-making. Clinician survey based on fuzzy-trace theory, a theory of medical decision-making, combined with retrospective data on prescribing outcomes for URI/pneumonia visits in two EDs. The survey predicts the categorical meanings, or gists, that individuals derive from given information. ED physicians, residents, and physician assistants (PAs) who completed surveys and treated patients with URI/pneumonia diagnoses between August 2014 and December 2015. Gists derived from survey responses and their association with rates of antibiotic prescribing per visit. Of 4474 URI/pneumonia visits, 2874 (64.2%) had an antibiotic prescription. However, prescribing rates varied from 7% to 91% for the 69 clinicians surveyed (65.2% response rate). Clinicians who framed therapy-prescribing decisions as a categorical choice between continued illness and possibly beneficial treatment ("why not take a risk?" gist, which assumes antibiotic therapy is essentially harmless) had higher rates of prescribing (OR 1.28 [95% CI, 1.06-1.54]). Greater agreement with the "antibiotics may be harmful" gist was associated with lower prescribing rates (OR 0.81 [95% CI, 0.67-0.98]). Our results indicate that clinicians who perceive prescribing as a categorical choice between patients remaining ill or possibly improving from therapy are more likely to prescribe antibiotics. However, this strategy assumes that antibiotics are essentially harmless. Clinicians who framed decision-making as a choice between potential harms from therapy and continued patient illness (e.g., increased appreciation of potential harms) had lower prescribing rates. These results suggest that interventions to reduce inappropriate prescribing should emphasize the non-negligible possibility of serious side effects.

Variations in antibiotic use for respiratory tract infections

ABSTRACT&#x0D; ObjectivesAntibiotic resistance is a significant public health issue, driven in large part by selection pressure induced by antibiotic use. Despite knowledge that a reduction in inappropriate antibiotic use is important, significant and sustained behaviour change has remained difficult to achieve. Previous studies have suggested that prescribing decisions vary with patient comorbidities and age, as well as the physician’s age, claim volume, specialty, and continuity of care with the particular patient. Regional level variation has also been reported. The goal of this study is to explore variations in antibiotic prescribing for respiratory tract infections (RTIs) at the levels of patients, physicians, and regions.&#x0D; ApproachWe used data on fee-for-service physician visits from the universal Medical Services Plan (MSP) for all residents of British Columbia, Canada from 2002 to 2012. We identified a cohort of patient visits for RTI (ICD-9 codes 460-466, 480, or 487). We derived measures of healthcare use and comorbidities at the patient level, and measures of physician claim volume and frequency of respiratory tract infection management, at the level of the physician. We used data on antibiotics filled by individuals, the number of all medications filled by individuals each year, and counts of prescriptions written by physicians (and filled) by month, from the provincial drug insurance database. We linked antibiotic prescriptions to physician visits by patient and prescriber as antibiotics dispensed within 5 days after the RTI visit. We calculated measures of regional population distributions. We used data on meteorological temperature readings assigned to each region, for each day, and calculated 28-day moving averages. We linked data on patient demographics, physician demographics, and hospitalizations to our dataset. Our analysis will use hierarchical generalized linear mixed models (GLMMs) with logit link to account for the clustering effects of patients among physicians and regions, to model the odds of an antibiotic prescription being dispensed. Measures of variation will be discussed.&#x0D; ResultsBetween April 1, 2005 and March 31, 2012, there were over 10.5 million visits by nearly 3 million individuals, served by over 8000 physicians in 88 regions. Antibiotics were prescribed in 37% of all visits.&#x0D; ConclusionThese are preliminary results, with full analytic results available in the coming months. These results will have implications for better understanding the extent of variations in antibiotic prescribing, and some of the drivers of these variations, as well as the potential to inform ongoing efforts to improve the appropriateness of antibiotic use.

Variability in Antibiotic Prescribing for Community-Acquired Pneumonia.

Published guidelines recommend amoxicillin for most children with community-acquired pneumonia (CAP), yet macrolides and broad-spectrum antibiotics are more commonly prescribed. We aimed to determine the patient and clinician characteristics associated with the prescription of amoxicillin versus macrolide or broad-spectrum antibiotics for CAP. Retrospective cohort study in an outpatient pediatric primary care network from July 1, 2009 to June 30, 2013. Patients prescribed amoxicillin, macrolides, or a broad-spectrum antibiotic (amoxicillin-clavulanic acid, cephalosporin, or fluoroquinolone) for CAP were included. Multivariable logistic regression models were implemented to identify predictors of antibiotic choice for CAP based on patient- and clinician-level characteristics, controlling for practice. Of 10 414 children, 4239 (40.7%) received amoxicillin, 4430 (42.5%) received macrolides and 1745 (16.8%) received broad-spectrum antibiotics. The factors associated with an increased odds of receipt of macrolides compared with amoxicillin included patient age ≥5 years (adjusted odds ratio [aOR]: 6.18; 95% confidence interval [CI]: 5.53-6.91), previous antibiotic receipt (aOR: 1.79; 95% CI: 1.56-2.04), and private insurance (aOR: 1.47; 95% CI: 1.28-1.70). The predicted probability of a child being prescribed a macrolide ranged significantly between 0.22 and 0.83 across clinics. The nonclinical characteristics associated with an increased odds of receipt of broad-spectrum antibiotics compared with amoxicillin included suburban practice (aOR: 7.50; 95% CI: 4.16-13.55) and private insurance (aOR: 1.42; 95% CI: 1.18-1.71). Antibiotic choice for CAP varied widely across practices. Factors unlikely related to the microbiologic etiology of CAP were significant drivers of antibiotic choice. Understanding drivers of off-guideline prescribing can inform targeted antimicrobial stewardship initiatives.

Variation in Antibiotic Prescribing among Emergency Departments, Urgent Care Centers, and Retail Health Clinics in the United States, 2014

BackgroundAt least 30% of antibiotic courses prescribed in physician offices’ and emergency departments (EDs) are unnecessary, but little is known about other ambulatory settings. The study aimed to assess antibiotic prescribing for acute respiratory conditions across U.S. EDs, urgent care centers (UCs), and retail health clinics (RHs).MethodsWe included visits to EDs, UCs and RHs based on claims from individuals < 65 years old with medical and pharmacy benefits captured in the 2014 Truven MarketScan Commercial Claims and Encounters Database, a convenience sample of employer-based health insurance. Claims for dispensed systemic antibiotics were linked to the most recent ED, UC and RH visit within 3 days for oral antibiotics and on the same day for parenteral antibiotics. Diagnoses were assigned to each visit based on a previously-described tiered system to assign the most likely indication for antibiotics. Antibiotic-inappropriate respiratory conditions (i.e., viral respiratory infections, asthma, and allergy) were identified, and the percent of visits leading to antibiotics were calculated with 95% confidence intervals (CI) by setting.ResultsIn 2014, antibiotics were prescribed in 13.8% (95% CI 13.7–13.8) of 4,954,084 included ED visits, 38.8% (38.8–38.9) of 2,831,950 UC visits, and 36.3% (35.9–36.6) of 59,599 RH visits. Antibiotic-inappropriate respiratory conditions accounted for 5.4% of ED visits, 16.4% of UC visits, and 17.2% of RH visits. UCs had the highest percent of antibiotic prescriptions for all antibiotic-inappropriate respiratory conditions (45.3%, 95% CI 45.2–45.5), followed by EDs (24.5%, 24.3–24.6) and then RHs (14.4%, 13.8–15.1). This pattern persisted when examined by diagnosis (figure).ConclusionAntibiotic prescribing for antibiotic-inappropriate respiratory infections was common in these settings. UCs are a particularly important target for antibiotic stewardship.Figure.Percent of visits for antibiotic-inappropriate respiratory conditions leading to antibiotic prescriptions according to diagnosis by setting — United States, 2014.Disclosures All authors: No reported disclosures.

Regional variation in antibiotic prescribing among medicare part D enrollees, 2013.

BackgroundAntibiotics are among the most widely prescribed medications. The geographic variation in antibiotic prescribing patterns and associated costs among Medicare Part D recipients have not been described. The purpose of this study was to assess the regional variation in antibiotic prescriptions and costs among Medicare Part D enrollees in 2013.MethodsRetrospective cohort review of all Medicare Part D enrollees in 2013, using the Medicare Provider Utilization and Payment Data: Part D Prescriber Public Use File. All original or refill prescription claims for antibiotics as listed in the Part D Prescriber Public Use File were included. Our primary outcomes were total antibiotic claims and antibiotic cost per Medicare Part D Enrollee. Data were analyzed descriptively by state and by geographic region as defined by the United States Census Bureau. Antibiotic claims were described overall and by antibiotic class.ResultsOver 54 million outpatient antibiotic claims were filed for Part D enrollees in 2013, representing more than $1.5 billion in total antibiotic expenditures. Antibiotic use was highest in the South (1,623 claims/1,000 enrollees), followed by the Midwest (1,401 claims/1,000 enrollees), Northeast (1,366 claims/1,000 enrollees), and West (1,292 claims/1,000 enrollees). Average antibiotic costs per enrollee in each region were as follows: South $46.58, Northeast $43.70, Midwest $40.54, and West $36.42. Fluoroquinolones were the most commonly prescribed class overall (12.2 million claims).ConclusionsAntibiotic use among elderly Medicare enrollees in the United States was highest in the South region. Fluoroquinolones were the most common antibiotics used in all regions. These patterns could be utilized in the development of targeted antimicrobial stewardship efforts.Electronic supplementary materialThe online version of this article (doi:10.1186/s12879-016-2091-0) contains supplementary material, which is available to authorized users.

What Drives Variation in Antibiotic Prescribing for Acute Respiratory Infections?

Acute respiratory infections are the most common symptomatic reason for seeking care among patients in the US, and account for the majority of all antibiotic prescribing, yet a large fraction of antibiotic prescriptions are inappropriate. We sought to identify the underlying factors driving variation in antibiotic prescribing across clinicians and settings. Using electronic health data for adult ambulatory visits for acute respiratory infections to a retail clinic chain and primary care practices from an integrated healthcare system, we identified a random sample of clinicians for survey. We evaluated independent predictors of overall prescribing and imperfect antibiotic prescribing, controlling for clinician and site of care. We defined imperfect antibiotic prescribing as prescribing for non-antibiotic-appropriate diagnoses, failure to prescribe for an antibiotic-appropriate diagnosis, or prescribing a non-guideline-concordant antibiotic. Response rates were 34% for retail clinics and 24% for physicians' offices (N = 187). Clinicians in physicians' offices prescribed antibiotics less often than those in retail clinics (53% versus 67%; p < 0.01), but had a higher imperfect antibiotic prescribing rate (65% versus 31%; p < 0.01). Feeling rushed was associated with higher antibiotic prescribing (OR 1.34; 95% CI 1.03, 1.75). Antibiotic prescribing was also associated with clinician disagreement that antibiotics are overused (OR 1.60, 95% CI, 1.16, 2.20). Imperfect antibiotic prescribing was associated with receiving antibiotic prescribing feedback (OR 1.35, 95% CI 1.04, 1.75) and disagreement that patient demand was a problem (OR 1.66, 95% CI 1.00, 2.73). Imperfect antibiotic prescribing was less common with clinicians who perceived that they prescribed antibiotics less often than their peers (OR 0.63, 95% CI 0.46, 0.87). Poor-quality antibiotic prescribing was associated with feeling rushed, believing less strongly that antibiotics were overused, and believing that patient demand was not an issue, factors that can be assessed and addressed in future interventions.

Seasonality and Physician-related Factors Associated with Antibiotic Prescribing: A Cross-sectional Study in Isfahan, Iran.

Background:Irrational antibiotic prescribing as a global health problem has a major influence on medical care quality and healthcare expenditure. This study was aimed to determine the pattern of antibiotic use and to assess the seasonality and physician-related factors associated with variability in antibiotic prescribing in Isfahan province of Iran.Methods:This cross-sectional survey was conducted on all prescriptions issued by general physicians from rural and urban areas in 2011. Associations between season of prescribing and physician-related variables including gender, practice location and time since graduation with antibiotic prescriptions and also the pattern of antibiotic prescribing were assessed using Chi-square tests and multiple logistic regression models.Results:Of the 7439709 prescriptions issued by 3772 general practitioners, 51% contained at least one antibiotic. Penicillins were the most frequently prescribed antibiotics, followed by cephalosporins and macrolides. Over-prescription of penicillins was associated with female gender (odds ratio [OR], 2.61; 95% confidence interval [CI] 2.13–3.19) and with moderate duration of time in practice (10–20 years) (OR, 1.42; 95% CI 1.14–1.76). Higher rates of cephalosporins prescription were observed in urban areas than rural areas and by male physicians. Seasonal peak was detected for penicillins and cephalosporins prescriptions in autumn.Conclusions:These findings showed the widespread use of antibiotics by general practitioners that was associated with the physicians’ gender, time since graduation and practice location and also season of prescribing. More researches are needed on other factors related to the overprescribing of antibiotics and they could be used to project educational programs for improvement of antibiotic prescribing quality in our country.

A modified method for measuring antibiotic use in healthcare settings: implications for antibiotic stewardship and benchmarking

To determine whether adjusting the denominator of the common hospital antibiotic use measurement unit (defined daily doses/100 bed-days) by including age-adjusted comorbidity score (100 bed-days/age-adjusted comorbidity score) would result in more accurate and meaningful assessment of hospital antibiotic use. The association between the monthly sum of age-adjusted comorbidity and monthly antibiotic use was measured using time-series analysis (January 2008 to June 2012). For the purposes of conducting internal benchmarking, two antibiotic usage datasets were constructed, i.e. 2004-07 (first study period) and 2008-11 (second study period). Monthly antibiotic use was normalized per 100 bed-days and per 100 bed-days/age-adjusted comorbidity score. Results showed that antibiotic use had significant positive relationships with the sum of age-adjusted comorbidity score (P = 0.0004). The results also showed that there was a negative relationship between antibiotic use and (i) alcohol-based hand rub use (P = 0.0370) and (ii) clinical pharmacist activity (P = 0.0031). Normalizing antibiotic use per 100 bed-days contributed to a comparative usage rate of 1.31, i.e. the average antibiotic use during the second period was 31% higher than during the first period. However, normalizing antibiotic use per 100 bed-days per age-adjusted comorbidity score resulted in a comparative usage rate of 0.98, i.e. the average antibiotic use was 2% lower in the second study period. Importantly, the latter comparative usage rate is independent of differences in patient density and case mix characteristics between the two studied populations. The proposed modified antibiotic measure provides an innovative approach to compare variations in antibiotic prescribing while taking account of patient case mix effects.

National burden of antibiotic use for adult rhinosinusitis

National burden of antibiotic use for adult rhinosinusitis

Variations in antibiotic prescribing of acute rhinosinusitis in United States ambulatory settings.

To identify variations in antibiotic treatment of acute rhinosinusitis (ARS) on a national level. Cross-sectional study of a national database. Otolaryngology and primary care ambulatory settings. A nationally representative sample of adult outpatient visits was extracted from the National Ambulatory Medical Care Survey and National Hospital Ambulatory Care Survey data for 2006 to 2009. Antibiotic prescriptions associated with ARS were tabulated. Statistical analyses were conducted to identify variations in antibiotic prescribing by patient and physician characteristics. Antibiotics were prescribed in 82.3% ± 2.6% of 18.7 million visits for ARS (mean age, 46.2 years; 65.9% female). The ratio of primary care physician (PCP) to otolaryngologist (ENT) ARS visits was 18.6:1. Antibiotic prescription rates were inversely related to increasing age groups of 18 to 39, 40 to 64, and ≥ 65 years (87.8%, 81.2%, and 71.0%, respectively; P = .02). Physicians in general medicine outpatient departments, internal medicine, and family medicine were more likely to prescribe antibiotics compared with ENTs (adjusted odds ratio [OR], 7.9 [95% confidence interval (CI), 3.5-17.8]; 6.9 [2.5-19.2]; and 3.9 [2.0-7.7], respectively). The most commonly prescribed antibiotics were azithromycin, amoxicillin, and amoxicillin/clavulanate acid (27.5%, 15.5%, and 14.6%, respectively). The ENTs selected broad-spectrum antibiotics more often than PCPs (94.3% vs 75.7% of visits with antibiotics were broad-spectrum agents; P = .01). Antibiotics were prescribed frequently despite recent consensus guidelines that discourage antibiotic use in mild cases. Furthermore, antibiotic prescription was more likely for younger patients and in primary care settings. This highlights the need to promote awareness of practice guidelines.

Geographic Variation in Outpatient Antibiotic Prescribing Among Older Adults

Consequences of antibiotic overuse are substantial, especially among older adults, who are more susceptible to adverse reactions. Findings about variation in antibiotic prescribing can target policy efforts to focused areas; however, little is known about these patterns among older adults. Using Medicare Part D data from January 1, 2007, through December 31, 2009 (comprising 1.0-1.1 million patients per year), we examined geographic variation in antibiotic use among older adults in 306 Dartmouth Atlas of Health Care hospital referral regions, 50 states and the District of Columbia, and 4 national regions (South, West, Midwest, and Northeast). In addition, we examined the quarterly change in antibiotic use across the 4 regions. Differences in patient demographics, insurance status, and clinical characteristics were adjusted for across regions. Substantial geographic and quarterly variation in outpatient antibiotic prescribing existed across regions after adjusting for population characteristics. This variation could not be explained by differences in the prevalences of the underlying conditions. For example, the ratios of the 75th percentile to the 25th percentile of adjusted annual antibiotic spending were 1.31 across states and 1.32 across regions. The highest antibiotic use was in the South, where 21.4% of patients per quarter used an antibiotic, whereas the lowest antibiotic use was in the West, where 17.4% of patients per quarter used an antibiotic (P < .01). Regardless of region, the rate of antibiotic use was highest in the first quarter (20.9% in January through March) and was lowest in the third quarter (16.9% in July through September) (P < .01). Areas with high rates of antibiotic use may benefit from targeted programs to reduce unnecessary prescription. Quality improvement programs can set attainable targets using the low-prescribing areas as a reference, particularly targeting older adults.

Infectious diseases in primary care; managing the interface between the person and the community

Respiratory infections are still among the most common new diagnoses in primary care. The most frequent reason for encounter is acute cough. General practitioners have to make antibiotic prescribing decisions in a context of diagnostic uncertainty, patient preferences and antimicrobial resistance. There is a causal link between antimicrobial resistance and antibiotic prescribing in primary care. GRACE observational studies (www.grace-lrti.org), show that variation in clinical presentation does not explain the considerable variation in antibiotic prescribing in Europe for adults presenting in primary care with acute cough and that recovery is similar between those treated with any antibiotic, a particular antibiotic class, or no antibiotic. A GRACE randomized controlled trial (RCT) of the effect of antibiotics for acute cough has recruited more patients than all RCTs combined in the current Cochrane Review and will have the power to identify subgroups of patients who will (not) benefit from amoxicillin. Another multi-country GRACE RCT assessing the effect on antibiotic prescribing of largely web-based versions of successful interventions including a C-reactive protein point-of-care test, a communication skill training and an interactive patient booklet is awaited. Given potential long-term cost-effectiveness, the GRACE suite of observational and interventional studies are enhancing the evidence base for reducing diagnostic uncertainty and managing patient expectations in a patient-centred way to achieve greater evidence-based antibiotic prescribing that is likely to help containing antimicrobial resistance.