Inappropriate outpatient antibiotic use in children insured by Kentucky Medicaid

Objective: To describe risk factors associated with inappropriate antibiotic prescribing to children. Design: Cross-sectional, retrospective analysis of antibiotic prescribing to children, using Kentucky Medicaid medical and pharmacy claims data, 2017. Participants: Population-based sample of pediatric Medicaid patients and providers. Methods: Antibiotic prescriptions were identified from pharmacy claims and used to describe patient and provider characteristics. Associated medical claims were identified and linked to assign diagnoses. An existing classification scheme was applied to determine appropriateness of antibiotic prescriptions. Results: Overall, 10,787 providers wrote 779,813 antibiotic prescriptions for 328,515 children insured by Kentucky Medicaid in 2017. Moreover, 154,546 (19.8%) of these antibiotic prescriptions were appropriate, 358,026 (45.9%) were potentially appropriate, 163,654 (21.0%) were inappropriate, and 103,587 (13.3%) were not associated with a diagnosis. Half of all providers wrote 12 prescriptions or less to Medicaid children. The following child characteristics were associated with inappropriate antibiotic prescribing: residence in a rural area (odds ratio [OR], 1.09; 95% confidence interval [CI], 1.07–1.1), having a visit with an inappropriate prescriber (OR, 4.15; 95% CI, 4.1–4.2), age 0–2 years (OR, 1.39; 95% CI, 1.37–1.41), and presence of a chronic condition (OR, 1.31; 95% CI, 1.28–1.33). Conclusions: Inappropriate antibiotic prescribing to Kentucky Medicaid children is common. Provider and patient characteristics associated with inappropriate prescribing differ from those associated with higher volume. Claims data are useful to describe inappropriate use and could be a valuable metric for provider feedback reports. Policies are needed to support analysis and dissemination of antibiotic prescribing reports and should include all provider types and geographic areas.

Predicting Caries in Medical Settings: Risk Factors in Diverse Infant Groups

Expanded partnership with the medical community is a promising strategy for reducing disparities in dental caries among young children. However, no validated caries risk instrument exists for use in primary health care settings. To help resolve this gap, a 52-item caries risk questionnaire was developed and targeted to primary caregivers (PCGs) to test in a 3-y prospective study. To begin to understand the validity of the questionnaire items, the purpose of this study was to compare responses to the questionnaire based on key demographic characteristics known to be associated with disparities in caries experience (e.g., race/ethnicity and insurance status). A total of 1,323 one-year-old children were recruited primarily through 3 medical research networks. Baseline questionnaire responses were analyzed via logistic regression. The sample was 49% female. Its racial/ethnic makeup was as follows: 13% Hispanic, 37% White, 37% Black, and 13% other or multiracial. Sixty-one percent were enrolled in Medicaid, and 95% resided in urban communities. Mothers represented 94% of PCGs. There were significant differences ( P < 0.05) in baseline responses based on Medicaid status and race/ethnicity. As compared with those not enrolled in Medicaid, children in the Medicaid group were significantly more likely (after adjusting for race/ethnicity) to 1) go to sleep while nursing or drinking something other than water, 2) eat sugary snacks between meals, 3) consume sugary drinks between meals, 4) receive topical fluoride from a health professional, 5) visit the dentist, and 6) not have an employed adult in the household. PCGs of children enrolled in Medicaid were significantly more likely to be the mother, have bleeding gums, eat sugary snacks between meals, consume sugary drinks between meals, eat or drink something other than water before going to bed, and not get regular dental checkups. In conclusion, there are significant differences in caries risk questionnaire responses based on Medicaid status and race/ethnicity that provide construct and criterion validity to the developed caries risk tool (ClinicalTrials.gov NCT01707797).