Anti-obesity medication prescriptions by race/ethnicity and use of an interpreter in a pediatric weight management clinic. (April 2022)

• Record Type: Journal Article
• Authors: Bomberg, Eric M.; Palzer, Elise F.; Rudser, Kyle D.; Kelly, Aaron S.; Bramante, Carolyn T.; Seligman, Hilary K.; Noni, Favour; Fox, Claudia K.
• Is Part Of: Therapeutic advances in endocrinology and metabolism. Volume 13(2022)
• Publication Date: 2022-04
• Subjects: anti-obesity agents -- healthcare disparities -- limited english proficiency -- obesity -- pediatric obesity; Endocrine glands -- Diseases -- Treatment -- Periodicals; Metabolism -- Disorders -- Treatment -- Periodicals; Endocrine System Diseases -- therapy -- Periodicals; Metabolic Diseases -- therapy -- Periodicals; 616.4005
• DOI: 10.1177/20420188221090009
• Languages: English
• ISSNs: 2042-0188

Abstract

Background: Race/ethnicity and low English proficiency healthcare disparities are well established in the United States. We sought to determine if there are race/ethnicity differences in anti-obesity medication (AOM) prescription rates among youth with severe obesity treated in a pediatric weight management clinic and if, among youth from non-primary English speaking families, there are differences in prescriptions between those using interpreters during visits versus not. Methods: We reviewed electronic health records of 2- to 18-year-olds with severe obesity seen from 2012 to 2021. Race/ethnicity was self-report, and AOMs included topiramate, stimulants (e.g. phentermine, lisdexamfetamine), naltrexone (±bupropion), glucagon-like peptide-1 agonists, and orlistat. We used general linear regression models with log-link to compare incidence rate ratios (IRRs) within the first 1 and 3 years of being followed, controlling for age, percent of the 95th BMI percentile (%BMIp95), number of obesity-related comorbidities (e.g. insulin resistance, hypertension), median household income, and interpreter use. We repeated similar analyses among youth from non-primary English speaking families, comparing those using interpreters versus not. Results: 1, 725 youth (mean age 11.5 years; %BMIp95 142%; 53% non-Hispanic White, 20% Hispanic/Latino, 16% non-Hispanic black; 6% used interpreters) were seen, of which 15% were prescribed AOMs within 1 year. The IRR for prescriptions was lower among Hispanic/Latino compared to non-Hispanic White youth at one (IRR 0.70; CI: 0.49–1.00; p = 0.047) but not 3 years. No other statistically significant differences by race/ethnicity were found. Among non-primary English speaking families, the IRR for prescriptions was higher at 1 year (IRR 2.49; CI: 1.32–4.70; p = 0.005) in those using interpreters versus not. Conclusions: Among youth seen in a pediatric weight management clinic, AOM prescription incidence rates were lower in Hispanics/Latinos compared to non-Hispanic Whites. Interpreter use was associated with higher prescription incidence rates among non-primary English speakers. Interventions to achieve equity in AOM prescriptions may help mitigate disparities in pediatric obesity.