Characteristics Associated With Opioid and Antibiotic Prescribing by Dentists

Alternatives to dental opioid prescribing after tooth extraction (ADOPT): protocol for a stepped wedge cluster randomized trial

BACKGROUND

Dentists and oral surgeons are leading prescribers of opioids to adolescents and young adults (AYA), who are at high risk for developing problematic opioid use after an initial exposure. Most opioids are prescribed after tooth extraction, but non-opioid analgesics provide similar analgesia and are recommended by multiple professional organizations.

METHODS

This multi-site stepped wedge cluster-randomized trial will assess whether a multicomponent behavioral intervention can influence opioid prescribing behavior among dentists and oral surgeons compared to usual practice. Across up to 12 clinical practices (clusters), up to 33 dentists/oral surgeons (provider participants) who perform tooth extractions for individuals 12-25 years old will be enrolled. After enrollment, all provider participants will receive the intervention at a time based on the sequence to which their cluster is randomized. The intervention consists of prescriber education via academic detailing plus provision of standardized patient post-extraction instructions and blister packs of acetaminophen and ibuprofen. Provider participants will dispense the blister packs and distribute the patient instructions at their discretion to AYA undergoing tooth extraction, with or without additional analgesics. The primary outcome is a binary, patient-level indicator of electronic post-extraction opioid prescription. Data for the primary outcome will be collected from the provider participant's electronic health records quarterly throughout the study. Provider participants will complete a survey before and approximately 3 months after transitioning into the intervention condition to assess implementation outcomes. AYA patients undergoing tooth extraction will be offered a survey to assess pain control and satisfaction with pain management in the week after their extraction. Primary analyses will use generalized estimating equations to compare the binary patient-level indicator of being prescribed a post-extraction opioid in the intervention condition compared to usual practice. Secondary analyses will assess provider participants' perceptions of feasibility and appropriateness of the intervention, and patient-reported pain control and satisfaction with pain management. Analyses will adjust for patient-level factors (e.g., sex, number of teeth extracted, etc.).

DISCUSSION

This real-world study will address an important need, providing information on the effectiveness of a multicomponent intervention at modifying dental prescribing behavior and reducing opioid prescriptions to AYA.

CLINICALTRIALS

GOV: NCT06275191.

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.

Trajectories of opioid prescribing by general dentists, specialists, and oral and maxillofacial surgeons in the United States, 2015-2019

BACKGROUND

Despite decreases in opioid prescribing from 2016 through 2019, some dentists (general, specialists, oral and maxillofacial surgeons) in the United States continue to prescribe opioids at high rates. The authors' objective was to define dentists' trajectories of opioid prescribing.

METHODS

The authors identified actively prescribing dentists from the IQVIA Longitudinal Prescription data set, from 2015 through 2019. Group-based trajectory modeling identified opioid prescribing trajectories on the basis of dentists' annual prescribing rates for the overall sample (model 1) and for high prescribers (model 2). The authors used χ2 or Mann-Whitney U tests to characterize the model 2 trajectory groups.

RESULTS

In model 1 (n = 199,145 prescribers), group-based trajectory modeling identified 8 trajectories that were grouped into 5 categories. A total of 14.8% were nonprescribers who composed less than 1% of all prescriptions, low prescribers (3 groups; 46.0%) prescribed at low rates (2015: 5.5%-16.9%; 2019: 1.5%-11.9%), decliners (7.3%) decreased prescribing rapidly (2015: 29.4%; 2019: 5.1%), moderately high prescribers (2 groups; 28.5%) prescribed moderately (2015: 28.7% and 39.2%; 2019: 18.1% and 28.8%), and consistently high prescribers (3.4%) prescribed at high rates (2015: 54.6%; 2019: 44.7%). In model 2, from consistently high prescribers (n = 6,845), 4 trajectories were identified. Of these 4 groups, 1 group (7.5%) declined prescribing rapidly. The groups did not differ meaningfully; however, the rapid decliners included fewer oral and maxillofacial surgeons (13.0% vs 18.4%), saw more Medicaid patients (2.5% vs 1.0%), and had higher opioid prescribing rates in 2015 (95.5% vs 91.6%) (P < .001 for all).

CONCLUSIONS

The authors identified variations in dentists' opioid prescribing rates. Although 60% of dentists decreased prescribing rates by 30% through 83%, 3.4% of dentists consistently prescribed at high rates.

PRACTICAL IMPLICATIONS

Some dentists continue to prescribe opioids at high levels, indicating that additional information is needed to better inform policy and clinical decision making.

Association between the COVID-19 outbreak and opioid prescribing by U.S. dentists

BACKGROUND

U.S. data on opioid prescribing by dentists are limited to 2019. More recent data are needed to understand the effect of the COVID-19 outbreak on dental opioid prescribing, characterize current practices, and determine if dental opioid stewardship initiatives are still warranted.

OBJECTIVE

To evaluate the association between the COVID-19 outbreak and the rate of opioid prescribing by U.S. dentists.

METHODS

During February-April 2023, the authors conducted a cross-sectional analysis of the IQVIA Longitudinal Prescription Database, which reports 92% of prescriptions dispensed in U.S. retail pharmacies. The authors calculated the monthly dental opioid dispensing rate, defined as the monthly number of dispensed opioid prescriptions from dentists per 100,000 U.S. individuals, during January 2016-February 2020 and June 2020-December 2022. To prevent distortions in trends, data from March-May 2020, when dental opioid dispensing declined sharply, were excluded. Using linear segmented regression models, the authors assessed for level and slope changes in the dental opioid dispensing rate during June 2020.

RESULTS

Analyses included 81,189,605 dental opioid prescriptions. The annual number of prescriptions declined from 16,105,634 in 2016 to 8,910,437 in 2022 (-44.7%). During January 2016-February 2020, the dental opioid dispensing rate declined -3.9 (95% CI: -4.3, -3.6) per month. In June 2020, this rate abruptly increased by 31.4 (95% CI: 19.3, 43.5) and the monthly decline in the dental opioid dispensing rate slowed to -2.1 (95% CI: -2.6, -1.6) per month. As a result, 6.1 million more dental opioid prescriptions were dispensed during June 2020-December 2022 than would be predicted had trends during January 2016-February 2020 continued.

DISCUSSION

U.S. dental opioid prescribing is declining, but the rate of this decline slowed after the COVID-19 outbreak. Findings highlight the continued importance of dental opioid stewardship initiatives.

Dental Pain Medication Prescriptions in Minas Gerais, Brazil (2011-2021): A Time-Series Analysis

To describe trends of dentist-prescribed non-steroidal anti-inflammatory drugs (NSAIDs) and analgesics, from January 2011 to December 2021, as well as to examine the relationship between these trends and characteristics of public oral health services in Minas Gerais, Brazil. In this time-series analysis, all drugs were classified according to the Anatomical Therapeutic Chemical classification system. Drugs categorized as NSAIDs (M01A), and other analgesics and antipyretics (N02B) were included for analysis. The outcome was the number of Defined Daily Doses (DDDs)/1000 inhabitants/year for NSAIDs and analgesics in each town. Covariates referred to characteristics of public oral health services, such as coverage, estimates of dental procedures, and frequency of toothache. Linear time-series regression models were used to determine the influence of covariates on the outcome. Overall, there were 58,482 prescriptions of NSAIDs recorded in thirty-eight towns, while 47,499 prescriptions of analgesics in forty-three towns. For each year, there was a 0.38 (p < 0.001), and 0.28 (p < 0.001) increase in the average log of DDD/1000 inhabitants/year for NSAIDs and analgesics, respectively. A positive association was detected between toothache (p < 0.001) and the prescription of NSAIDs. Over the eleven years, there was a general rising trend in the prescriptions. Toothache was the only characteristic of public oral health services associated with the prescription rates of NSAIDs, implying that as the frequency of toothaches increase, so do the prescriptions of NSAIDs in the studied towns.

Health Equity and Antibiotic Prescribing in the United States: A Systematic Scoping Review

We performed a scoping review of articles published from 1 January 2000 to 4 January 2022 to characterize inequities in antibiotic prescribing and use across healthcare settings in the United States to inform antibiotic stewardship interventions and research. We included 34 observational studies, 21 cross-sectional survey studies, 4 intervention studies, and 2 systematic reviews. Most studies (55 of 61 [90%]) described the outpatient setting, 3 articles were from dentistry, 2 were from long-term care, and 1 was from acute care. Differences in antibiotic prescribing were found by patient's race and ethnicity, sex, age, socioeconomic factors, geography, clinician's age and specialty, and healthcare setting, with an emphasis on outpatient settings. Few studies assessed stewardship interventions. Clinicians, antibiotic stewardship experts, and health systems should be aware that prescribing behavior varies according to both clinician- and patient-level markers. Prescribing differences likely represent structural inequities; however, no studies reported underlying drivers of inequities in antibiotic prescribing.

Comparison of guideline concordant antibiotic prophylaxis in Veterans Affairs and non-Veterans Affairs dental settings among those with cardiac conditions or prosthetic joints

BACKGROUND

No research has been conducted to assess whether antibiotic prophylaxis prescribing differs by dental setting. Therefore, the goal of this study was to compare the prescribing of antibiotic prophylaxis in Veterans Affairs (VA) and non-Veterans Affairs settings.

METHODS

This was a retrospective study of veteran and non-veteran dental patients with cardiac conditions or prosthetic joints between 2015-2017. Multivariable log binomial regression analysis was conducted to compare concordant prescribing by setting with a sub-analysis for errors of dosing based on antibiotic duration (i.e., days prescribed).

RESULTS

A total of 61,124 dental visits that received a prophylactic antibiotic were included. Most were male (61.0%), and 55 years of age or older (76.2%). Nearly a third (32.7%) received guideline concordant prophylaxis. VA dental settings had a lower prevalence of guideline concordant prescribing compared to non-VA settings in unadjusted results (unadjusted prevalence ratio [uPR] = 0.92, 95% CI: 0.90-0.95). After adjustment, prevalence of guideline concordant prescribing was higher in those with prosthetic joints in the VA setting (adjusted prevalence ratio [aPR] = 1.73, 95% CI: 1.59-1.88), with no difference identified in those without a prosthetic joint (aPR = 0.99, 95% CI: 0.96-1.01). Concordance of dosing was higher in VA compared to non-VA settings (aPR = 1.11, 95% CI: 1.07-1.15).

CONCLUSIONS

VA has a higher prevalence of guideline concordant prescribing among those with prosthetic joints and when assessing dosing errors. Though the presence of an integrated electronic health record (EHR) may be contributing to these differences, other system or prescriber-related factors may be responsible. Future studies should focus on to what extent the integrated EHR may be responsible for increased guideline concordant prescribing in the VA setting.

Trends in dispensed prescriptions for opioids, sedatives, benzodiazepines, gabapentin, and stimulants to children by general dentists, 2012-2019

PURPOSE

Opioids, benzodiazepines and sedatives can manage dental pain, fear and anxiety but have a narrow margin of safety in children. General dentists may inappropriately prescribe gabapentin and stimulants. National evidence on dispensing rates of these high-alert medicines by dentists to children is limited.

METHODS

We utilize join-point regression to identify changes in fills for opioids, sedatives, benzodiazepines, gabapentin, and stimulants to children <18 years from 2012 to 2019 in a national dataset comprising 92% of dispensed outpatient prescriptions by dentists.

RESULTS

From 2012 to 2019, 3.8 million children filled prescriptions for high-alert drugs from general dentists. National quarterly dispensing of high-alert drugs decreased 63.1%, from 10456.0 to 3858.8 days per million. Opioids accounted for 69.4% of high-alert prescriptions. From 2012 to 2019, fills for opioids, sedatives, benzodiazepines, and stimulants decreased by 65.2% (7651.8 to 2662.7), 43.4% (810.9 to 458.7), 43.6% (785.7 to 442.7) and 89.3% (825.6 to 88.6 days per million), respectively. Gabapentin increased 8.1% (121.8 to 131.7 days per million). A significant decrease in high-alert fills occurred in 2016, (-6.0% per quarter vs. -1.6% pre-2016, P-value<0.001), especially for opioids (-7.0% vs. -1.2%, P-value<0.001). Older teenagers (15-17 years) received 42.5% of high-alert prescriptions. Low-income counties in the South were overrepresented among top-prescribing areas in 2019.

CONCLUSIONS

We found promising national decreases in fills for high-alert medicines to children by general dentists from 2012 to 2019. However, older teenagers and children in some counties continued to receive dental opioids at high rates. Future efforts should address non-evidence-based pain management in these groups.

Endogenous opiates and behavior: 2021

This paper is the forty-fourth consecutive installment of the annual anthological review of research concerning the endogenous opioid system, summarizing articles published during 2021 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides and receptors as well as effects of opioid/opiate agonizts and antagonists. The review is subdivided into the following specific topics: molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors (1), the roles of these opioid peptides and receptors in pain and analgesia in animals (2) and humans (3), opioid-sensitive and opioid-insensitive effects of nonopioid analgesics (4), opioid peptide and receptor involvement in tolerance and dependence (5), stress and social status (6), learning and memory (7), eating and drinking (8), drug abuse and alcohol (9), sexual activity and hormones, pregnancy, development and endocrinology (10), mental illness and mood (11), seizures and neurologic disorders (12), electrical-related activity and neurophysiology (13), general activity and locomotion (14), gastrointestinal, renal and hepatic functions (15), cardiovascular responses (16), respiration and thermoregulation (17), and immunological responses (18).

High prescribing of antibiotics is associated with high prescribing of opioids in medical and dental providers

STUDY OBJECTIVE

High prescribers of antibiotics and opioids are an important target for stewardship interventions. The goal of this study was to assess the association between high antibiotic and high opioid prescribing by provider type.

DESIGN

A national cross-sectional study.

SETTING

2015-2017 Department of Veterans Affairs (VA) electronic health record data.

POPULATION

Prescribers were identified as dentists (2017: n = 1346) and medical providers (physicians n = 23,072; advanced practice providers [APP] n = 7705; and other providers [pharmacists/chiropractors] n = 3674) (2017: n = 34,451).

MEASUREMENTS

High prescribing was defined as being in the top 25% of visit-based rates of antibiotic or opioid prescribing (number of prescriptions/number of dental or medical visits). Multivariable random effects logistic regression with clustering by facility was used to assess the adjusted association between high antibiotic and opioid prescribing.

RESULTS

Medical providers prescribed 4,348,670 antibiotic and 10,256,706 opioid prescriptions; dentists prescribed 277,170 antibiotic and 124,103 opioid prescriptions. Among all high prescribers of antibiotics, 40% were also high prescribers of opioids as compared to 18% of those who were not high antibiotic prescribers (p < 0.0001). High prescribing of antibiotics was associated with high prescribing of opioids in medical providers (adjusted odds ratio [aOR] = 2.87, 95% confidence interval [CI] = 2.72-3.04) and dentists (aOR = 8.40, 95% CI 6.00-11.76). Older provider age, specific US geographic regions, and lower VA facility complexity and rurality were also associated with high opioid prescribing by medical providers. In dentists, younger provider age, male gender, specific regions of the United States, and lower number of dentists in a facility were associated with high opioid prescribing. At the facility level, high dental prescribers of antibiotics or opioids were not at the same facilities as high medical prescribers, respectively (p < 0.0001).

CONCLUSIONS

High antibiotic prescribing was associated with high opioid prescribing. Thus, stewardship interventions targeting both medication classes may have higher impact to efficiently reduce prescribing of medications with high public health impact. Provider-targeted interventions are needed to improve antibiotic and opioid prescribing in both dentists and medical providers.

Serious opioid-related adverse outcomes associated with opioids prescribed by dentists

ABSTRACT

Although nonsteroidal anti inflammatory drugs are superior to opioids in dental pain management, opioids are still prescribed for dental pain in the United States. Little is known about the serious adverse outcomes of short-acting opioids within the context of dental prescribing. The objective of this study was to evaluate adverse outcomes and persistent opioid use (POU) after opioid prescriptions by dentists, based on whether opioids were overprescribed or within recommendations. A cross-sectional analysis of adults with a dental visit and corresponding opioid prescription (index) from 2011 to 2018 within a nationwide commercial claims database was conducted. Opioid overprescribing was defined as >120 morphine milligram equivalents per Centers for Disease Control and Prevention guidelines. Generalized estimating equation models were used to assess adverse outcomes (emergency department visits, hospitalizations, newly diagnosed substance use disorder, naloxone administration, or death within 30 days from index) and POU (≥1 prescription 4-90 days postindex). Predicted probabilities are reported. Of 633,387 visits, 2.6% experienced an adverse outcome and 16.6% had POU. Adverse outcome risk was not different whether opioids were overprescribed or within recommendations (predicted probability 9.0%, confidence interval [CI]: 8.0%-10.2% vs 9.1%, CI: 8.1-10.3), but POU was higher when opioids were overprescribed (predicted probability 27.4%, CI: 26.1%-28.8% vs 25.2%, CI: 24.0%-26.5%). Visits associated with mild pain and those with substance use disorders had the highest risk of both outcomes. Findings from this study demonstrate that dental prescribing of opioids was associated with adverse outcomes and POU, even when prescriptions were concordant with guidelines. Additional efforts are required to improve analgesic prescribing in dentistry, especially in groups at high risk of opioid-related adverse outcomes.

A qualitative approach to examining antimicrobial prescribing in the outpatient dental setting

OBJECTIVE

To understand barriers and facilitators to evidence-based prescribing of antibiotics in the outpatient dental setting.

DESIGN

Semistructured interviews.

SETTING

Outpatient dental setting.

PARTICIPANTS

Dentists from 40 Veterans' Health Administration (VA) facilities across the United States.

METHODS

Dentists were identified based on their prescribing patterns and were recruited to participate in a semistructured interview on perceptions toward prescribing. All interviews were recorded, transcribed, and double-coded for analysis, with high reliability between coders. We identified general trends using the theoretical domains framework and mapped overarching themes onto the behavior change wheel to identify prospective interventions that improve evidence-based prescribing.

RESULTS

In total, 90 dentists participated in our study. The following barriers and facilitators to evidence-based prescribing emerged as impacts on a dentist's decision making on prescribing an antibiotic: access to resources, social influence of peers and other care providers, clinical judgment, beliefs about consequences, local features of the clinic setting, and beliefs about capabilities.

CONCLUSIONS

Findings from this work reveal the need to increase awareness of up-to-date antibiotic prescribing behaviors in dentistry and may inform the best antimicrobial stewardship interventions to support dentists' ongoing professional development and improve evidence-based prescribing.

Factors influencing opioid prescribing after tooth extraction

BACKGROUND

Tooth extractions account for most opioid prescriptions from dentists, but specific characteristics that influence likelihood are less established. Improving understanding can facilitate development of tailored interventions to reduce unnecessary opioid prescribing.

METHODS

The authors performed a retrospective review of patients 12 years and older undergoing tooth extraction at the College of Dentistry at the University of Kentucky from 2013 through 2020. The primary end point was issuance of an opioid prescription related to the encounter.

RESULTS

In 44,387 eligible records analyzed, 10,628 (23.9%) patients received an opioid prescription. Results of multivariable logistic regression found that the factors associated with an opioid prescription included receipt of a nonopioid analgesic prescription (adjusted odds ratio [aOR], 11.36; 95% CI, 10.37 to 12.44), receipt of an antibiotic prescription (aOR, 8.29; 95% CI, 7.57 to 9.08), procedural sedation (aOR, 2.11; 95% CI, 1.93 to 2.31), surgical extraction (aOR, 1.96; 95% CI, 1.84 to 2.10), and third molar extractions (1 tooth: aOR, 1.14; 95% CI 1.04 to 1.25; 2 teeth: aOR, 2.09; 95% CI, 2.87 to 2.34; 3 teeth: aOR, 2.73; 95% CI, 2.36 to 3.15; 4 teeth: aOR, 3.45; 95% CI, 3.10 to 3.83). Factors that decreased risk included having an appointment in 2018 or later (aOR, 0.31; 95% CI, 0.29 to 0.33), in a student (aOR, 0.57; 95% CI, 0.51 to 0.65) or resident (aOR, 0.33; 95% CI, 0.31 to 0.36) clinic, and on any day other than Friday (Monday: aOR, 0.83; 95% CI, 0.76 to 0.91; Tuesday: aOR, 0.90; 95% CI, 0.83 to 0.99; Wednesday: aOR, 0.89; 95% CI, 0.81 to 0.97; Thursday: aOR, 0.88; 95% CI 0.81 to 0.97).

CONCLUSIONS

Opioid prescriptions after tooth extraction were common in patients undergoing more extensive procedures. Provider perceptions, habits, and several clinical factors appeared to influence prescribing patterns.

PRACTICAL IMPLICATIONS

The decision to prescribe an opioid appears to be associated with habits and factors perceived to modulate postoperative pain, which may serve as targets for opioid reduction strategies.

Distribution of Opioid Prescribing and High-Risk Prescribing Among U.S. Dentists in 2019

INTRODUCTION

It is unknown whether certain dentists account for disproportionate shares of dental opioid prescriptions and high-risk prescriptions. Identifying and characterizing such dentists could inform the targeting of initiatives to improve the appropriateness and safety of dental opioid prescribing.

METHODS

In May 2021, the authors conducted a cross-sectional analysis using the IQVIA Longitudinal Prescription Database, which reports dispensing from 92% of U.S. pharmacies, and 2 provider databases (IQVIA OneKey, National Plan and Provider Enumeration System). Analyses included opioid prescriptions from dentists dispensed in 2019 to patients aged >12 years. High-risk prescriptions were those considered high risk by any of 3 metrics (prescriptions to opioid-naïve patients exceeding a 3-day supply, prescriptions with daily opioid dosage ≥50 morphine milligram equivalents, opioid prescriptions with benzodiazepine overlap). Among all prescriptions and high-risk prescriptions, the authors calculated the proportion accounted for by high-volume dentists -- those with prescription counts in the 95th percentile or higher. Using logistic regression, the characteristics associated with being a high-volume dentist were identified.

RESULTS

In 2019, a total of 141,345 dentists accounted for 10,736,743 opioid prescriptions dispensed to patients aged >12 years; 4,242,634 (39.5%) were high-risk prescriptions. The 7,079 high-volume dentists, a group representing 5.0% of the 141,345 dentists, accounted for 46.9% of all prescriptions and 47.5% of high-risk prescriptions. Male sex, younger age, non‒Northeast location, and specialization in oral and maxillofacial surgery were associated with a higher risk of being a high-volume dentist.

CONCLUSIONS

In 2019, high-volume dentists accounted for almost half of dental opioid prescriptions and high-risk prescriptions. Quality improvement initiatives targeting these dentists may be warranted.

Antibiotic prophylaxis prescriptions prior to dental visits in the Veterans' Health Administration (VHA), 2015-2019

OBJECTIVE

To determine prophylaxis appropriateness by Veterans' Affairs (VA) dentists.

DESIGN

A cross-sectional study of dental visits, 2015-2019.

METHODS

Antibiotics within 7 days before a visit in the absence of an oral infection were included. Appropriate antibiotic prophylaxis was defined as visits with gingival manipulation and further delineated into narrow and broad definitions based on comorbidities. The primary analysis applied a narrow definition of appropriate prophylaxis: cardiac conditions at the highest risk of an adverse outcome from endocarditis. The secondary analysis included a broader definition: cardiac or immunocompromising condition or tooth extractions and/or implants. Multivariable log-linear Poisson generalized estimating equation regression was used to assess the association between covariates and unnecessary prophylaxis prescriptions.

RESULTS

In total, 358,078 visits were associated with 369,102 antibiotics. The median prescription duration was 7 days (IQR, 7-10); only 6.5% were prescribed for 1 day. With the narrow definition, 15% of prophylaxis prescriptions were appropriate, which increased to 72% with the broader definition. Prophylaxis inconsistent with guidelines increased over time. For the narrow definition, Black (vs White) race, Latine (vs non-Latine) ethnicity, and visits located in the West census region were associated with unnecessary prophylaxis. Variables associated with a lower risk were older age, prosthetic joints, immunocompromising condition, and rural location.

CONCLUSIONS

Of every 6 antibiotic prophylaxis prescriptions, 5 were inconsistent with guidelines. Improving prophylaxis appropriateness and shortening duration may have substantial implications for stewardship. Guidelines should state whether antibiotic prophylaxis is indicated for extractions, implants, and immunocompromised patients.

Effect of the COVID-19 pandemic on adversity in individuals receiving anticoagulation for atrial fibrillation: A nationally representative administrative health claims analysis

Background

Atrial fibrillation (AF) is strongly associated with clinical adversity, including increased hospitalization and bleeding and stroke events. We examined the effect of the SARS-2 Coronavirus 2019 (COVID-19) pandemic on such events in individuals with AF receiving oral anticoagulation.

Methods

We employed medical and pharmacy claims spanning 2018–2020 from a nationally representative U.S. database (IQVIA Longitudinal Prescription, Medical Claims, and Institutional Claims). We selected individuals receiving oral anticoagulation in 2018 for AF and followed them from 1/1/2019–7/8/2020 for clinical events. We constructed interrupted time-series analyses across 30-day intervals with Poisson regression models to determine the effect of the COVID-19 pandemic on clinical events.

Results

The dataset included 1,439,145 individuals (half with age ≥75 years; 47.6% women) receiving oral anticoagulation. We determined a 19% decrease in emergency room visits following the pandemic declaration and 8% decrease in inpatient admissions. In contrast admissions for stroke and bleeding were not affected by the declaration of the pandemic.

Discussion

These results describe the temporal effect of the COVID-19 pandemic on clinical adversity – hospitalizations, strokes, and bleeding events – in individuals receiving oral anticoagulation for AF. Our analysis quantifies the decrease in clinical adversity accompanying COVID-19 in a large, highly representative U.S. health claims database.

Outpatient Prescribing of Antibiotics and Opioids by Veterans Health Administration Providers, 2015-2017

INTRODUCTION

Antibiotics and opioids are targeted by public health and stewardship communities for reductions in prescribing across the country. This study evaluates trends and factors associated with outpatient prescribing by dental and medical providers in a large integrated health system.

METHODS

This was a cross-sectional study of national dental and medical outpatient visits from Department of Veterans Affairs facilities in 2015-2017; analyzed in 2019-2020. Antibiotic and opioid prescribing rates were assessed by provider and facility characteristics. Multivariable Poisson regression adjusted for repeated measures by the provider was used to assess the independent association between facility and provider characteristics and rate of prescribing.

RESULTS

Over the study period, 4,625,840 antibiotic and 10,380,809 opioid prescriptions were identified for 115,625,890 visits. Physicians prescribed most antibiotics (67%). Dentists prescribed 6% of the antibiotics but had the highest per-visit antibiotic prescribing rate compared to medical providers (6.75 vs 3.90 prescriptions per 100 visits, p<0.0001), which was largely driven by dental specialists. By contrast, dentists had lower opioid prescribing than medical providers (3.02 vs 9.20 prescriptions per 100 visits, p<0.0001). Overall, antibiotic and opioid prescribing decreased over time, with opioids having the greatest decreases (-28.0%). In multivariable analyses, U.S. geographic region, rurality, and complexity were associated with prescribing for both drug classes. Opioid and antibiotic prescribing were positively correlated.

CONCLUSIONS

Although antibiotic and opioid prescribing has decreased, there are still important target areas for improvement. Interventions need to be tailored to community characteristics such as rurality and provider type.