Dataset Information

Predictors of inappropriate antibiotic prescribing among primary care physicians.

ABSTRACT:

Background

Inappropriate use of antibiotics promotes antibiotic resistance. Little is known about physician characteristics that may be associated with inappropriate antibiotic prescribing. Our objective was to assess whether physician knowledge, time in practice, place of training and practice volume explain the differences in antibiotic prescribing among physicians.

Methods

A historical cohort of 852 primary care physicians in Quebec who became certified between 1990 and 1993 was followed for their first 6-9 years of practice (1990-1998). We evaluated whether inappropriate antibiotic prescribing had occurred during the study period (1990-1998) for viral (prescription of antibiotics) and bacterial (prescription of second-or third-line antibiotics given orally) infections. We used logistic regression to estimate the independent contributions of time in practice, practice volume, place of medical training and scores on licensure examinations. Physician sex and visit setting were controlled for, as were patient age, sex, education, income and geographic area of residence.

Results

A total of 104 230 patients who received a diagnosis of a viral infection and 65 304 who received a diagnosis of a bacterial infection were included in our study. International medical graduates were more likely than University of Montréal graduates to prescribe antibiotics for viral respiratory infections (risk ratio [RR] 1.78, 95% confidence interval [CI] 1.30-2.44). Inappropriate antibiotic prescribing increased with time in practice. Physicians with a high practice volume were more likely than those with low practice volume to prescribe antibiotics for viral respiratory infections (RR 1.27, 95% CI 1.09-1.48) and to prescribe second-and third-line antibiotics as first-line treatment (RR 1.20, 95% CI 1.06-1.37). Physician scores on licensure examinations were not predictive of inappropriate antibiotic prescribing.

Interpretation

International medical graduates, physicians with high-volume practices and those who were in practice longer were more likely to prescribe antibiotics inappropriately. Developing effective interventions will require increased knowledge of the mechanisms that underlie these predictors of inappropriate antibiotic prescribing.

SUBMITTER: Cadieux G

PROVIDER: S-EPMC1995156 | biostudies-literature | 2007 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Predictors of inappropriate antibiotic prescribing among primary care physicians.

Cadieux Genevieve G Tamblyn Robyn R Dauphinee Dale D Libman Michael M

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne 20071001 8

<h4>Background</h4>Inappropriate use of antibiotics promotes antibiotic resistance. Little is known about physician characteristics that may be associated with inappropriate antibiotic prescribing. Our objective was to assess whether physician knowledge, time in practice, place of training and practice volume explain the differences in antibiotic prescribing among physicians.<h4>Methods</h4>A historical cohort of 852 primary care physicians in Quebec who became certified between 1990 and 1993 wa ...[more]

PMID: 17923655

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Project description:BackgroundThere has been a notable decrease in antibiotic prescribing in the last thirty years in Sweden. Little is known about factors influencing antibiotic prescribing over several years.ObjectiveTo compare primary care physicians who, over time, reduced their antibiotic prescribing for respiratory tract infections with those who remained either high or low prescribers regarding potentially influencing factors.Design and settingA register-based study including all RTI visits in primary care in Region Kronoberg, Sweden 2006-2014. The data were divided into three 3-year periods.SubjectsThe data comprised all physicians who had diagnosed at least one RTI for each of the three-year periods. The antibiotic prescribing rate adjusted for the patients' sex and age group was calculated for each physician and period, and based on the change between the first and the third period, the physicians were divided into three prescriber groups: The High Prescribing Group, the Decreasing Prescribing Group, and the Low Prescribing Group.Main outcome measuresFor the three prescriber groups, we compared factors influencing antibiotic prescribing such as the characteristics of the physicians, their use of point-of-care tests, their choice of diagnoses, and whether the patients returned and received antibiotics.ResultsThe High Prescribing Group ordered more point-of-care tests, registered more potential bacterial diagnoses, prescribed antibiotics at lower C-reactive protein levels, and prescribed antibiotics more often despite negative group A Streptococci test than in the Low Prescribing Group. The Decreasing Prescribing Group was between the High Prescribing Group and the Low Prescribing Group regarding these variables. The lower prescription rate in the Low Prescribing Group did not result in more return visits or new antibiotic prescriptions within 30 days.ConclusionPoint-of-care testing and its interpretation differed between the prescriber groups. Focus on interpreting point-of-care test results could be a way forward in antibiotic stewardship.

Project description:ImportanceInterventions based on behavioral science might reduce inappropriate antibiotic prescribing.ObjectiveTo assess effects of behavioral interventions and rates of inappropriate (not guideline-concordant) antibiotic prescribing during ambulatory visits for acute respiratory tract infections.Design, setting, and participantsCluster randomized clinical trial conducted among 47 primary care practices in Boston and Los Angeles. Participants were 248 enrolled clinicians randomized to receive 0, 1, 2, or 3 interventions for 18 months. All clinicians received education on antibiotic prescribing guidelines on enrollment. Interventions began between November 1, 2011, and October 1, 2012. Follow-up for the latest-starting sites ended on April 1, 2014. Adult patients with comorbidities and concomitant infections were excluded.InterventionsThree behavioral interventions, implemented alone or in combination: suggested alternatives presented electronic order sets suggesting nonantibiotic treatments; accountable justification prompted clinicians to enter free-text justifications for prescribing antibiotics into patients' electronic health records; peer comparison sent emails to clinicians that compared their antibiotic prescribing rates with those of "top performers" (those with the lowest inappropriate prescribing rates).Main outcomes and measuresAntibiotic prescribing rates for visits with antibiotic-inappropriate diagnoses (nonspecific upper respiratory tract infections, acute bronchitis, and influenza) from 18 months preintervention to 18 months afterward, adjusting each intervention's effects for co-occurring interventions and preintervention trends, with random effects for practices and clinicians.ResultsThere were 14,753 visits (mean patient age, 47 years; 69% women) for antibiotic-inappropriate acute respiratory tract infections during the baseline period and 16,959 visits (mean patient age, 48 years; 67% women) during the intervention period. Mean antibiotic prescribing rates decreased from 24.1% at intervention start to 13.1% at intervention month 18 (absolute difference, -11.0%) for control practices; from 22.1% to 6.1% (absolute difference, -16.0%) for suggested alternatives (difference in differences, -5.0% [95% CI, -7.8% to 0.1%]; P = .66 for differences in trajectories); from 23.2% to 5.2% (absolute difference, -18.1%) for accountable justification (difference in differences, -7.0% [95% CI, -9.1% to -2.9%]; P < .001); and from 19.9% to 3.7% (absolute difference, -16.3%) for peer comparison (difference in differences, -5.2% [95% CI, -6.9% to -1.6%]; P < .001). There were no statistically significant interactions (neither synergy nor interference) between interventions.Conclusions and relevanceAmong primary care practices, the use of accountable justification and peer comparison as behavioral interventions resulted in lower rates of inappropriate antibiotic prescribing for acute respiratory tract infections.Trial registrationclinicaltrials.gov Identifier: NCT01454947.

Project description:ImportanceTime is a valuable resource in primary care, and physicians and patients consistently raise concerns about inadequate time during visits. However, there is little evidence on whether shorter visits translate into lower-quality care.ObjectiveTo investigate variations in primary care visit length and quantify the association between visit length and potentially inappropriate prescribing decisions by primary care physicians.Design, setting, and participantsThis cross-sectional study used data from electronic health record systems in primary care offices across the US to analyze adult primary care visits occurring in calendar year 2017. Analysis was conducted from March 2022 through January 2023.Main outcomes and measuresRegression analyses quantified the association between patient visit characteristics and visit length (measured using time stamp data) and the association between visit length and potentially inappropriate prescribing decisions, including inappropriate antibiotic prescriptions for upper respiratory tract infections, coprescribing of opioids and benzodiazepines for painful conditions, and prescriptions that were potentially inappropriate for older adults (based on the Beers criteria). All rates were estimated using physician fixed effects and were adjusted for patient and visit characteristics.ResultsThis study included 8 119 161 primary care visits by 4 360 445 patients (56.6% women) with 8091 primary care physicians; 7.7% of patients were Hispanic, 10.4% were non-Hispanic Black, 68.2% were non-Hispanic White, 5.5% were other race and ethnicity, and 8.3% had missing race and ethnicity. Longer visits were more complex (ie, more diagnoses recorded and/or more chronic conditions coded). After controlling for scheduled visit duration and measures of visit complexity, younger, publicly insured, Hispanic, and non-Hispanic Black patients had shorter visits. For each additional minute of visit length, the likelihood that a visit resulted in an inappropriate antibiotic prescription changed by -0.11 percentage points (95% CI, -0.14 to -0.09 percentage points) and the likelihood of opioid and benzodiazepine coprescribing changed by -0.01 percentage points (95% CI, -0.01 to -0.009 percentage points). Visit length had a positive association with potentially inappropriate prescribing among older adults (0.004 percentage points; 95% CI, 0.003-0.006 percentage points).Conclusions and relevanceIn this cross-sectional study, shorter visit length was associated with a higher likelihood of inappropriate antibiotic prescribing for patients with upper respiratory tract infections and coprescribing of opioids and benzodiazepines for patients with painful conditions. These findings suggest opportunities for additional research and operational improvements to visit scheduling and quality of prescribing decisions in primary care.

Project description:ImportanceAntibiotic overuse contributes to adverse drug effects, increased costs, and antimicrobial resistance.ObjectiveTo evaluate peer-comparison audit and feedback to high-prescribing primary care physicians (PCPs) and assess the effect of targeted messaging on avoiding unnecessary antibiotic prescriptions and avoiding long-duration prescribing.Design, setting, and participantsIn this 3-arm randomized clinical trial, administrative data collected from IQVIA's Xponent database were used to recruit the highest quartile of antibiotic-prescribing PCPs (n = 3500) in Ontario, Canada.InterventionsPhysicians were randomized 3:3:1 to receive a mailed letter sent in December 2018 addressing antibiotic treatment initiation (n = 1500), a letter addressing prescribing duration (n = 1500), or no letter (control; n = 500). Outliers at the 99th percentile at baseline for each arm were excluded from analysis.Main outcomes and measuresThe primary outcome was total number of antibiotic prescriptions over 12 months postintervention. Secondary outcomes were number of prolonged-duration prescriptions (>7 days) and antibiotic drug costs (in Canadian dollars). Robust Poisson regression controlling for baseline prescriptions was used for analysis.ResultsOf the 3465 PCPs included in analysis, 2405 (69.4%) were male, and 2116 (61.1%) were 25 or more years from their medical graduation. At baseline, PCPs receiving the antibiotic initiation letter and duration letter prescribed an average of 988 and 1000 antibiotic prescriptions, respectively; at 12 months postintervention, these PCPs prescribed an average of 849 and 851 antibiotic prescriptions, respectively. For the primary outcome of total antibiotic prescriptions 12 months postintervention, there was no statistically significant difference in total antibiotic use between PCPs who received the initiation letter compared with controls (relative risk [RR], 0.96; 97.5% CI, 0.92-1.01; P = .06) and a small statistically significant difference for the duration letter compared with controls (RR, 0.95; 97.5% CI, 0.91-1.00; P = .01). For PCPs receiving the duration letter, this corresponds to an average of 42 fewer antibiotic prescriptions over 12 months. There was no statistically significant difference between the letter arms. For the initiation letter, compared with controls there was an RR of 0.98 (97.5% CI, 0.93-1.03; P = .42) and 0.97 (97.5% CI, 0.92-1.02; P = .19) for the outcomes of prolonged-duration prescriptions and antibiotic drug costs, respectively. At baseline, PCPs who received the duration letter prescribed an average of 332 prolonged-duration prescriptions with $14 470 in drug costs. There was an 8.1% relative reduction (RR, 0.92; 97.5% CI, 0.87-0.97; P < .001) in prolonged-duration prescriptions, and a 6.1% relative reduction in antibiotic drug costs (RR, 0.94; 97.5% CI, 0.89-0.99; P = .01). This corresponds to an average of 24 fewer prolonged-duration prescriptions and $771 in drug cost savings per PCP over 12 months.Conclusions and relevanceIn this randomized clinical trial, a single mailed letter to the highest-prescribing PCPs in Ontario, Canada providing peer-comparison feedback, including messaging on limiting antibiotic-prescribing durations, led to statistically significant reductions in total and prolonged-duration antibiotic prescriptions, as well as drug costs.Trial registrationClinicalTrials.gov Identifier: NCT03776383.

Project description:BackgroundAntimicrobial resistance is a worldwide challenge for health services and systems alike. To reduce the overuse of antibiotics, multifaceted interventions are often used to achieve sustainable effects. It can be assumed that these effects are influenced by contextual factors. Embedded in the cluster randomized trial ARena (Sustainable reduction of antibiotic-induced antimicrobial resistance), the aim of this present study was to identify contextual factors associated with practitioners' perceptions of antibiotic prescribing in German primary health care.MethodsIn a prospective observational study, data were generated in a three-wave survey study between January 2018 and July 2019. Analysis was performed using logistic regression models. The outcome of interest was the physician perceived impact of participating in the ARena project on decision-making regarding antibiotic prescribing, the independent variables of interest included individual characteristics, intervention arm allocation, primary care network (PCN) environment and characteristics of the medical practice.ResultsForty Six point eight percent (n = 126) of participants indicated to have perceived an impact on their decision-making regarding antibiotic prescribing by participating in the ARena project. Bivariate logistic regression analyses indicated that work experience (odds ratio (OR) 1.05, 95% confidence interval (CI) 1.006-1.103), PCN environment (OR 2.06, 95% CI 1.256-3.363), structural conditions (OR 1.66, 95% CI 1.161-2.371), environment of existing processes (OR 1.46, 95% CI 1.011-2.094), and externally defined general conditions (OR 1.57, 95% CI 1.035-2.378) were associated with physicians' perceived impact of participating in the ARena project on decision-making regarding antibiotic prescribing. In the multivariable logistic regression analysis, only work experience OR 1.05 (95% CI 1.001-1.104) continuously showed a significant influence.ConclusionsThis study indicates that contextual factors at individual, practice, and system level influence physicians' perceptions of antibiotic prescribing. Longer work experience appeared to be a significant influencing factor to be considered in antimicrobial stewardship programs.Trial registrationISRCTN, ISRCTN58150046 (registered 13.09.2017).

Dataset Information

Predictors of inappropriate antibiotic prescribing among primary care physicians.

Background

Methods

Results

Interpretation

Publications

Predictors of inappropriate antibiotic prescribing among primary care physicians.

Similar Datasets

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