Variation in antimicrobial prescribing for otitis media by race: different wrinkle in disparity?

Use of the Child Opportunity Index to Examine Racial Variations in Outpatient Antibiotic Prescribing to Children

To examine further racial and ethnic variations in antibiotic prescribing to children, we used the Child Opportunity Index. Black children were less likely to be prescribed an antibiotic. Low- and moderate-opportunity areas were associated with greater rates of antibiotic prescribing, after adjusting for race and other factors.

Recurrent Antibiotic Use in Kentucky Children With 6 Years of Continuous Medicaid Enrollment

BACKGROUND

Little is known about the distribution of antibiotic use in individual children over time. The amoxicillin index is a recently proposed metric to assess first-line antibiotic prescribing to children.

METHODS

We constructed a cohort of continuously enrolled Medicaid children using enrollment claims from 2012 to 2017. Pharmacy claims were used to identify antibiotic prescription data.

RESULTS

Among 169 724 children with 6 years of Medicaid enrollment, 10 804 (6.4%) had no antibiotic prescription claims during the study period; 43 473 (25.6%) had 1-3 antibiotics; 34 318 (20.2%) had 4-6 antibiotics; 30 994 (18.3%) had 7-10; 35 018 (20.6%) had 11-20; and 15 117 (8.9%) children had more than 20 antibiotic prescriptions. Overall, the population had a median total of 6 antibiotic prescriptions during the study period, but use was higher in certain patient groups: younger age (8 antibiotic fills over the 6-year period, [IQR 4-14]), White children (7 [IQR 3-13], compared to 3 [IQR 1-6] in Black children), rural settings (9 [IQR 4-15]) and chronic conditions (8 [IQR 4-15]). Higher-use groups also had lower rates of amoxicillin fills, reported as amoxicillin indices.

CONCLUSIONS

Antibiotic use is common among most children insured by Kentucky Medicaid. A number of fills over time were higher in younger children, and in White children, children living in rural settings and children with chronic conditions. Patients with higher recurrent antibiotic use are important targets for designing high-impact antibiotic stewardship efforts.

Roles of Clinician, Patient, and Community Characteristics in the Management of Pediatric Upper Respiratory Tract Infections

PURPOSE

Prior studies have evaluated factors predictive of inappropriate antibiotic prescription for upper respiratory tract infections (URIs). Community factors, however, have not been examined. The aim of this study was to evaluate the roles of patient, clinician, and community factors in predicting appropriate management of URIs in children.

METHODS

We used a novel database exchange, linking electronic health record data with community statistics, to identify all patients aged 3 months to 18 years in whom URI was diagnosed in the period from 2007 to 2012. We followed the Healthcare Effectiveness Data and Information Set (HEDIS) quality measurement titled "Appropriate treatment for children with upper respiratory infection" to determine the rate of appropriate management of URIs. We then stratified data across individual and community characteristics and used multiple logistic regression modeling to identify variables that independently predicted antibiotic prescription.

RESULTS

Of 20,581 patients, the overall rate for appropriate management for URI was 93.5%. Family medicine clinicians (AOR = 1.5; 95% CI 1.31, 1.71; reference = pediatric clinicians), urgent care clinicians (AOR = 2.23; 95% CI 1.93, 2.57; reference = pediatric clinicians), patients aged 12 to 18 years (AOR = 1.44; 95% CI 1.25, 1.67; reference = age 3 months to 4 years), and patients of white race/ ethnicity (AOR = 1.83; 95% CI 1.41, 2.37; reference = black non-Hispanic) were independently predictive of antibiotic prescription. No community factors were independently predictive of antibiotic prescription.

CONCLUSIONS

Results correlate with prior studies in which non-pediatric clinicians and white race/ethnicity were predictive of antibiotic prescription, while association with older patient age has not been previously reported. Findings illustrate the promise of linking electronic health records with community data to evaluate health care disparities.