Background
Antibiotic prescribing practices among dentists and dental
specialists in the United States (US) remains poorly understood. The purpose
of our study is to compare prescribing practices between dental specialties,
evaluate the duration of antibiotics prescribed by dentists, and determine
variation in antibiotic selection among dentists.
Methods
We performed a retrospective cross-sectional analysis of dental
provider specialties linked to de-identified antibiotic claims data from a
large pharmacy benefits manager during the 2015 calendar year.
Results
As a group, general dentists and dental specialists were responsible
for over 2.7 million antibiotic prescriptions, higher than several other
medical and allied health provider specialties. Antibiotic treatment
duration was generally prolonged and commonly included broad-spectrum
agents, such as amoxicillin-clavulanate and clindamycin. Although
amoxicillin was the most commonly prescribed antibiotic among all dental
specialties, there was significant variation among other antibiotics
selected by each specialty. The most common antibiotic treatment durations
were for 7 and 10 days.
Conclusions
This study demonstrates that dentists frequently prescribe
antibiotics for prolonged periods of time and often use broad-spectrum
antibiotics. Further studies are necessary to evaluate the appropriateness
of these antibiotic prescribing patterns.
Practical Implications
The significant variation in antibiotic selection and treatment
duration identified among all dental specialties in this study population
implies that further research and guidance into the treatment of dental
infections is necessary to improve and standardize antibiotic prescribing
practices.
OBJECTIVETo characterize trends in outpatient antibiotic prescriptions in the United StatesDESIGNRetrospective ecological and temporal trend study evaluating outpatient antibiotic prescriptions from 2013 to 2015SETTINGNational administrative claims data from a pharmacy benefits manager PARTICIPANTS. Prescription pharmacy beneficiaries from Express Scripts Holding CompanyMEASUREMENTSAnnual and seasonal percent change in antibiotic prescriptionsRESULTSApproximately 98 million outpatient antibiotic prescriptions were filled by 39 million insurance beneficiaries during the 3-year study period. The most commonly prescribed antibiotics were azithromycin, amoxicillin, amoxicillin/clavulanate, ciprofloxacin, and cephalexin. No significant changes in individual or overall annual antibiotic prescribing rates were found during the study period. Significant seasonal variation was observed, with antibiotics being 42% more likely to be prescribed during February than September (peak-to-trough ratio [PTTR], 1.42; 95% confidence interval [CI], 1.39-1.61). Similar seasonal trends were found for azithromycin (PTTR, 2.46; 95% CI, 2.44-3.47), amoxicillin (PTTR, 1.52; 95% CI, 1.42-1.89), and amoxicillin/clavulanate (PTTR, 1.78; 95% CI, 1.68-2.29).CONCLUSIONSThis study demonstrates that annual national outpatient antibiotic prescribing practices remained unchanged during our study period. Furthermore, seasonal peaks in antibiotics generally used to treat viral upper respiratory tract infections remained unchanged during cold and influenza season. These results suggest that inappropriate prescribing of antibiotics remains widespread, despite the concurrent release of several guideline-based best practices intended to reduce inappropriate antibiotic consumption; however, further research linking national outpatient antibiotic prescriptions to associated medical conditions is needed to confirm these findings.Infect Control Hosp Epidemiol 2018;39:584-589.
BACKGROUND: Many health systems have implemented team-based programs to improve transitions from hospital to home for high-need, high-cost patients. While preliminary outcomes are promising, there is limited evidence regarding the most effective strategies. OBJECTIVE: To determine the effect of an intensive interdisciplinary transitional care program emphasizing medication adherence and rapid primary care follow-up for high-need, high-cost Medicaid and Medicare patients on quality, outcomes, and costs. DESIGN: Quasi-experimental study. PATIENTS: Among 2235 high-need, high-cost Medicare and Medicaid patients identified during an index inpatient hospitalization in a non-profit health care system in a medically underserved area with complete administrative claims data, 285 participants were enrolled in the SafeMed care transition intervention, and 1950 served as concurrent controls.
INTERVENTIONS:The SafeMed team conducted hospitalbased real-time screening, patient engagement, enrollment, enhanced discharge care coordination, and intensive home visits and telephone follow-up for at least 45 days. MAIN MEASURES: Primary difference-in-differences analyses examined changes in quality (primary care visits, and medication adherence), outcomes (preventable emergency visits and hospitalizations, overall emergency visits, hospitalizations, 30-day readmissions, and hospital days), and medical expenditures. KEY RESULTS: Adjusted difference-in-differences analyses demonstrated that SafeMed participation was associated with 7% fewer hospitalizations (− 0.40; 95% confidence interval (CI), − 0.73 to − 0.06), 31% fewer 30-day readmissions
From these authors' definition of appropriate antibiotic prescription choice and duration, inappropriate antibiotic prescriptions are common (14% of all antibiotic prescriptions) among general dentists. Further analyses with the use of chart review, administrative data sets, or other approaches are needed to better evaluate antibiotic prescribing practices among dentists.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.