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Anti-obesity medication prescriptions by race/ethnicity and use of an interpreter in a pediatric weight management clinic
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 ma...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005816/ https://www.ncbi.nlm.nih.gov/pubmed/35432917 http://dx.doi.org/10.1177/20420188221090009 |
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author | Bomberg, Eric M. Palzer, Elise F. Rudser, Kyle D. Kelly, Aaron S. Bramante, Carolyn T. Seligman, Hilary K. Noni, Favour Fox, Claudia K. |
author_facet | Bomberg, Eric M. Palzer, Elise F. Rudser, Kyle D. Kelly, Aaron S. Bramante, Carolyn T. Seligman, Hilary K. Noni, Favour Fox, Claudia K. |
author_sort | Bomberg, Eric M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9005816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-90058162022-04-14 Anti-obesity medication prescriptions by race/ethnicity and use of an interpreter in a pediatric weight management clinic Bomberg, Eric M. Palzer, Elise F. Rudser, Kyle D. Kelly, Aaron S. Bramante, Carolyn T. Seligman, Hilary K. Noni, Favour Fox, Claudia K. Ther Adv Endocrinol Metab Original Research 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. SAGE Publications 2022-04-11 /pmc/articles/PMC9005816/ /pubmed/35432917 http://dx.doi.org/10.1177/20420188221090009 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Bomberg, Eric M. Palzer, Elise F. Rudser, Kyle D. Kelly, Aaron S. Bramante, Carolyn T. Seligman, Hilary K. Noni, Favour Fox, Claudia K. Anti-obesity medication prescriptions by race/ethnicity and use of an interpreter in a pediatric weight management clinic |
title | Anti-obesity medication prescriptions by race/ethnicity and use of an interpreter in a pediatric weight management clinic |
title_full | Anti-obesity medication prescriptions by race/ethnicity and use of an interpreter in a pediatric weight management clinic |
title_fullStr | Anti-obesity medication prescriptions by race/ethnicity and use of an interpreter in a pediatric weight management clinic |
title_full_unstemmed | Anti-obesity medication prescriptions by race/ethnicity and use of an interpreter in a pediatric weight management clinic |
title_short | Anti-obesity medication prescriptions by race/ethnicity and use of an interpreter in a pediatric weight management clinic |
title_sort | anti-obesity medication prescriptions by race/ethnicity and use of an interpreter in a pediatric weight management clinic |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005816/ https://www.ncbi.nlm.nih.gov/pubmed/35432917 http://dx.doi.org/10.1177/20420188221090009 |
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