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

被引:10
作者
Bomberg, Eric M. [1 ,2 ]
Palzer, Elise F. [3 ]
Rudser, Kyle D. [1 ,3 ]
Kelly, Aaron S. [1 ,2 ]
Bramante, Carolyn T. [1 ,4 ]
Seligman, Hilary K. [5 ]
Noni, Favour [6 ]
Fox, Claudia K. [1 ,2 ]
机构
[1] Univ Minnesota, Ctr Pediat Obes Med, Med Sch, Dept Pediat, 717 Delaware St SE,Room 370, Minneapolis, MN 55414 USA
[2] Univ Minnesota, Med Sch, Dept Pediat, Minneapolis, MN 55414 USA
[3] Univ Minnesota, Sch Publ Hlth, Div Biostat, Minneapolis, MN 55414 USA
[4] Univ Minnesota, Sch Med, Dept Med, Minneapolis, MN 55455 USA
[5] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA
[6] Univ Minnesota, Minneapolis, MN USA
关键词
anti-obesity agents; healthcare disparities; limited english proficiency; obesity; pediatric obesity; HEALTH-CARE; INSULIN-RESISTANCE; PREVALENCE; ADOLESCENTS; DISPARITIES; OUTPATIENT; BIAS; ADIPOSITY; ETHNICITY; SERVICES;
D O I
10.1177/20420188221090009
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
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页数:14
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